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UW ECE and Applied Mathematics Professor Nathan Kutz has been named to the Clarivate Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields.
https://www.ece.uw.edu/spotlight/the-integrator-2025-2026/

Read the latest issue of The Integrator, UW ECE’s flagship annual magazine highlighting the Department’s extraordinary faculty and student research, achievements, alumni stories, special events and more from this past year!
https://www.ece.uw.edu/spotlight/mingfei-chen-2025-google-phd-fellowship-2/

UW ECE doctoral student Mingfei Chen has been awarded a 2025 Google PhD Fellowship in Machine Perception. This award is one of the most competitive honors for doctoral students in artificial intelligence research today.
https://www.ece.uw.edu/spotlight/maryam-fazel-2025-farkas-prize/

UW ECE Professor Maryam Fazel received the award for her foundational work in the field of optimization and for pioneering contributions to data science and artificial intelligence.
https://www.ece.uw.edu/spotlight/uw-ece-efp-2026-26-fellows/

This new program supports transfer of research into commercial products through prototyping, customer discovery, and market analysis. Learn how UW ECE-EFP fellows are translating their ideas into impact.
https://www.ece.uw.edu/spotlight/uw-ece-is-hiring-4/

UW ECE is inviting applications for tenure-track assistant professor positions.
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UW ECE and Applied Mathematics Professor Nathan Kutz has been named to the Clarivate Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Photo by Ryan Hoover / UW ECE[/caption]
UW ECE is proud to announce that Professor Nathan Kutz was recently named to the Clarivate Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Kutz is one of 56 UW faculty and researchers recognized.
Kutz is a Boeing Professor in AI & Data-Driven Engineering and holds a joint appointment between UW ECE and the UW Department of Applied Mathematics. He is an expert in machine learning, data science, dynamical systems, scientific computing, and control systems. His research applies computational and mathematical methods across engineering, as well as the physical and biological sciences.
In addition to this recognition from Clarivate, Kutz has earned numerous prestigious honors throughout his career. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), a recipient of a National Science Foundation CAREER Award, and previously served as chair of the UW Department of Applied Mathematics from 2007 to 2015.
“I’m honored by this recognition,” Kutz said. “It reflects the creativity and dedication of the students and collaborators I’ve had the privilege to work with.”
The Clarivate Highly Cited Researchers list identifies scholars who demonstrated significant and broad influence in their chosen field or fields through the publication of multiple highly cited papers during the last decade. This annual list names researchers whose work ranks among the top 1% of citations for their field and publication year in the Web of Science citation index.
The 2025 list includes 7,131 awards from more than 1,300 institutions in 60 countries and regions. According to Clarivate, these individuals represent a small fraction of the global research community yet contribute disproportionately to advancing knowledge and driving innovation. The rankings are determined using data and analysis from bibliometric experts and data scientists at Clarivate’s Institute for Scientific Information.
Kutz is part of a distinguished group of UW ECE faculty who have earned major awards and are recognized as highly cited researchers in their fields. To learn more about the accomplishments of UW ECE faculty, visit our Faculty Highlights webpage.
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Read previous issues of The Integrator here.
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[caption id="attachment_39433" align="alignright" width="600"]
UW ECE doctoral student Mingfei Chen has received a 2025 Google PhD Fellowship in Machine Perception. This award supports Chen’s pioneering work developing AI systems capable of perceiving and understanding three-dimensional spaces — a capability that could transform robotics, augmented reality, and assistive technologies. Photo by Ryan Hoover / UW ECE[/caption]
UW ECE doctoral student Mingfei Chen was recently awarded a 2025 Google PhD Fellowship in Machine Perception. This award is one of the most competitive honors for doctoral students in artificial intelligence research today. Google.org awarded this fellowship to Chen to support her work developing AI systems that can sense and comprehend three-dimensional spaces. In late October, Google announced the fellowship recipients in its official blog, The Keyword.
The Google PhD Fellowship Program, now in its 16th year, supports outstanding graduate students who are conducting exceptional and innovative research in computer science and related fields, specifically focusing on candidates who seek to influence the future of technology. The Program provides vital direct financial support for its recipients’ doctoral degree pursuits and connects each Fellow with a dedicated Google Research Mentor, reinforcing the company’s commitment to nurturing the academic community.
Chen’s research: Spatially aware AI
Chen, a third-year doctoral student in the UW NeuroAI Lab, which is directed by her adviser, UW ECE Associate Professor Eli Shlizerman, is developing spatially aware multimodal AI systems that are trustworthy, safe, and human-centered. Her research focuses on enabling AI to perceive and understand three-dimensional spaces — a capability that could transform robotics, augmented reality, and assistive technologies.
"I am very excited about building AI systems that can truly perceive the world — not just through vision and language, but through spatial awareness and more modalities." — UW ECE doctoral student Mingfei Chen
“Barely a few years into her doctoral research, Mingfei has already built cutting-edge deep learning models that combine sound and vision to create detailed representations of 3D scenes — both real and virtual,” Shlizerman said. “Now, Mingfei is daring to take this even further. She is exploring how machines equipped with deep learning can understand the scenes they perceive. It’s an exciting and bold direction, and the Google PhD Fellowship will empower Mingfei to make it a reality.”
Real-world applications
[caption id="attachment_39441" align="alignright" width="450"]
Google.org is providing over $10 million to support 255 doctoral students like Chen across 35 countries and 12 research domains, committing to a new generation of researchers who understand that accelerating scientific discovery is vital to solving the world’s toughest challenges.[/caption]
Like humans, spatially aware multimodal AI systems use sensing modalities, such as vision, sound, and motion, to build contextual awareness and an understanding of a three-dimensional space. These AI systems also use other modes, such as language and geometry, to enrich their understanding. This technology could help to make the world more accessible and supportive for people, especially for those with disabilities or limited mobility. Potential applications include:
- Spatial memory assistants: AI-equipped eyeglasses could help a person remember where they placed their keys or track how a room changes over time — using vision, sound, and spatial cues to retrieve useful information from the environment.
- Safety in dynamic environments: Wearable devices could detect approaching vehicles or obstacles outside a person’s field of view and provide directional audio alerts.
- Interactive spatial guidance: AI assistants could help people navigate complex environments by aligning audio cues with visual context. For example, when an assistant says “the object on your left,” the sound could originate from the user’s left side, linking language, vision, and spatial geometry. In public spaces like museums, these assistants could fuse real-time visual recognition with spatial audio to direct visitors toward exhibits and deliver information hands-free, enabling intuitive navigation without relying solely on sight.
- Immersive virtual re-experiencing: Spatially aware multimodal AI systems could recreate real environments for virtual tourism or memory replay. Instead of viewing static images or videos, users could “re-live” dynamic scenes (for example, standing near a landmark like the Eiffel Tower) with spatial audio and 3D geometry that deliver a natural, embodied experience.
Empowering STEM education
Chen is also passionate about contributing to STEM education and entrepreneurship. For the past two years, she has served as lead teaching assistant for UW ECE’s
Engineering Innovation and Entrepreneurship (ENGINE) capstone program, mentoring over 100 students and coordinating a team of eight teaching assistants. Through ENGINE, Chen has helped foster interdisciplinary collaboration on real-world engineering projects with leading technology companies. She said she is excited to contribute to similar projects in the future through the University as well as through global collaboration opportunities, such as those the Google PhD Fellowship might provide.
Looking ahead
Chen said that this fellowship gives her freedom to pursue unconventional and challenging research directions without being constrained by short-term trends in the field. She is looking forward to collaborating with Google researchers and continuing to build AI systems that enhance productivity, autonomy, and quality of life.
“I am very excited about building AI systems that can truly perceive the world — not just through vision and language, but through spatial awareness and more modalities,” Chen said. “Humans intuitively combine sight, sound, and context to understand the three-dimensional world around us. Pursuing this direction could unlock a deeper form of perception for AI — crucial for future technologies like smart glasses, spatial assistants, and personal robots.”
For more information about Mingfei Chen and her research, visit the UW NeuroAI Lab website.
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UW ECE Professor Maryam Fazel receives the 2025 Farkas Prize from the INFORMS Optimization Society. The award was presented on October 26 at the INFORMS Annual Meeting in Atlanta, Georgia, by Katya Scheinberg (left), Coca-Cola Foundation Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, and Andrea Lodi (right), the Andrew H. and Ann R. Tisch Professor of operations research and information engineering at Cornell University.[/caption]
The University of Washington Department of Electrical & Computer Engineering congratulates Professor
Maryam Fazel, recipient of the
2025 Farkas Prize from the Institute for Operations Research and the Management Sciences, or INFORMS, Optimization Society. She accepted the award in late October during the INFORMS Annual Meeting in Atlanta, Georgia.
The Farkas Prize is an annual award honoring a mid-career researcher for outstanding, career-spanning contributions to the field of optimization — a discipline that develops mathematical models and algorithms to improve decision making, advance engineering design, and provide the computational foundation for machine learning systems.
Fazel was recognized for her foundational work in optimization and her pioneering contributions to data science and artificial intelligence. The award was presented on Sunday, October 26, at the
INFORMS Annual Meeting in Atlanta, Georgia.
“I’m deeply honored to receive the Farkas Prize. Optimization has been a central theme in my research, and it’s exciting to see its growing impact on fields like data science and artificial intelligence,” Fazel said. “This recognition reflects the incredible collaborations I’ve had with students, postdoctoral scholars, and colleagues over the years, and I look forward to continuing to explore new challenges in this area.”
Fazel holds the
Moorthy Family Inspiration Career Development Professorship and serves as director of the
Institute for Foundations of Data Science at the UW. INFORMS promotes the development and application of data optimization methods and software tools to solve complex problems in operations research and management science.
Learn more about the Farkas Prize on the INFORMS website.
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Article by Wayne Gillam, Photos by Ryan Hoover /
UW ECE News
[caption id="attachment_39171" align="alignright" width="550"]

The new UW ECE Entrepreneurial Fellows Program, or UW ECE-EFP, helps translate research into real-world impact. On the left, UW ECE-EFP fellow Jared Nakahara adds droplets into an acoustic levitation prototype he created with his adviser, UW ECE and Allen School Professor Joshua Smith. Together, they co-founded Levity, a startup building acoustic levitators for lab automation. On the right, UW ECE-EFP fellow Sen Zhang holds MultiSensKnit, a sensor-packed knitted sleeve designed for rehabilitation assessment. Zhang created and developed MultiSensKnit with UW ECE Assistant Professor Yiyue Luo.[/caption]
According to the UW’s innovation hub,
CoMotion, UW ECE consistently ranks among the University’s leading generators of startup companies. The Department has maintained this distinction for decades, alongside its strong academic reputation and longstanding history of supporting entrepreneurship. But UW ECE isn’t resting on that legacy. In early 2025, the Department created a new program aimed at fostering and developing entrepreneurs.
The new
UW ECE Entrepreneurial Fellows Program, or UW ECE-EFP, is funded exclusively by royalties earned on UW ECE innovations. The Program is designed to support the transfer of research advances into commercialized impact through prototyping, customer discovery, and market analysis.
“This new program enables fellowship recipients to leverage the richness of the entrepreneurial spirit that’s within UW ECE, the UW College of Engineering, and the broader University,” said UW ECE Career and Industry Programs Manager
Rebecca Carlson, who facilitates the UW ECE-EFP. “There is a wide variety of instructors and professors here who have started companies, staff and Department affiliates with industry experience, and an alumni network that can help support our fellows in their entrepreneurial endeavors.”
“Innovation starts here because our Department is a place where ideas are born and developed in a serious way.”
— UW ECE Professor and Chair Eric Klavins
Fellowship recipients receive a postdoctoral scholar salary and benefits for one year, partial salary support for their faculty adviser, mentorship from the University's network of industry experts and entrepreneurs, and support for travel and expenses. UW ECE also partners with the CoMotion
Postdoctoral Entrepreneurship Program to provide fellowship recipients with access to an entrepreneurial cohort and a strong support network. This close partnership with CoMotion helps fellows move their research out of the lab and into the marketplace. Current UW ECE doctoral students and postdoctoral scholars as well as those eligible for a postdoctoral scholar position in the Department can apply to the UW ECE-EFP.
“Innovation starts here because our Department is a place where ideas are born and developed in a serious way,” said UW ECE Professor and Chair
Eric Klavins. “When we promote entrepreneurship through programs like this, it highlights one of the many ways universities benefit our greater society — serving as a supportive place where people can turn their dreams into reality.”
Read on to learn about the inaugural 2025–26 UW ECE-EFP fellows and how, with the help of this new program, they are each realizing their own vision for the future by turning their research projects into commercial ventures.
Jared Nakahara — Levity
[caption id="attachment_39175" align="alignright" width="550"]

Levity builds acoustic levitators for automated, contamination-free experiments requiring precise control. The prototype shown above, operated by Nakahara, uses ultrasonic sound waves — well above the threshold of human hearing — to suspend and manipulate droplets and small objects in midair without physical contact.[/caption]
Born and raised in the Seattle area, Jared Nakahara first became interested in engineering when he was in high school, during a summer program at the
DigiPen Institute of Technology, a video game and arts college located in Redmond, Washington. The program was provided by the
Washington Network for Innovative Careers, and it gave Nakahara his first exposure to robotics, coding, and mechatronics — technology combining mechanical engineering and electronics. Talented in sports and contemplating a career in baseball, Nakahara was inspired by the WANIC program to have a change of heart. He moved his focus from baseball to engineering. Both of Nakahara’s parents were engineers, and being familiar with the field, they encouraged this new direction for their son.
The WANIC summer program sparked what became for Nakahara a passionate interest in electrical and computer engineering. He decided to pursue engineering as a career, and he returned to DigiPen in subsequent years to teach engineering topics to pre-college students. Nakahara chose to study engineering at UW ECE, and he took his education all the way, earning his bachelor’s, master’s, and doctoral degrees in electrical engineering in 2018, 2021, and 2025, respectively.
As a UW ECE undergraduate, Nakahara was initially interested in quantum computing technologies, but after taking a course on field-programmable gate arrays, or FPGAs, taught by UW ECE and Allen School Professor
Joshua Smith, his interest shifted to neural engineering. Smith, who is a research leader in the
Center for Neurotechnology, was building implantable neural interfaces for spinal cord rehabilitation. The topic fascinated Nakahara. So much so, he joined Smith’s
Sensor Systems Laboratory, and when he started graduate school, Smith became his faculty adviser. Today, Nakahara is a postdoctoral scholar in Smith’s lab.
“I think the programmable laboratory space is interesting because we can potentially help to build life-saving pharmaceuticals, treatments for cancer, and personalized medicine as well as other new pharmaceuticals that could be coming to market.”
— Jared Nakahara, UW ECE postdoctoral scholar and 2025–26 UW ECE-EFP fellow
When Nakahara was a graduate student, he and Smith were inspired by
transcranial magnetic stimulation, a treatment used for neural disorders, such as depression. With this in mind, they began investigating ways to use
acoustic levitation technology to build a non-invasive stimulator for neurons. Acoustic levitation uses high-frequency sound waves (ultrasound) to suspend and move matter in liquids or gas, overcoming gravity. Around this same time, Nakahara developed an interest in robotic manipulation. He built and experimented with different acoustic levitation systems, aiming to develop a tool that could augment the capabilities of general-purpose robots, giving these robots improved manipulation precision and the ability to handle small or fragile objects without making physical contact.
“Bringing the acoustic levitator into the robotic sphere became a fascinating thing for me because I could do it very quickly, innovating on the controls as well as the hardware and software stack,” Nakahara said. “Once I went down that rabbit hole, it evolved into a much bigger thing when I realized our acoustic levitator could be used as a robotic manipulation platform.”
Through discussions with Smith, Nakahara realized that the acoustic levitator they were developing could be beneficial for laboratory experiments in bioengineering and materials science that needed to be automated, contamination-free, and executed with precision. With Smith’s support, Nakahara switched his research focus from neural engineering to acoustic levitation systems. Now, he and Smith are in the early stages of co-founding
Levity, a startup company dedicated to building acoustic levitators for laboratory automation.
An acoustic levitation system for next-generation laboratory automation
[caption id="attachment_39177" align="alignright" width="550"]

Levity’s tabletop acoustic levitation system is quick to set up and operate, and it can even run remotely. Nakahara demonstrates the prototype while Smith observes — showing how easy this device is to use.[/caption]
What Levity’s acoustic levitation system does could seem like science fiction. The device uses high-frequency sound, well above the threshold of human hearing, to levitate, contain, and manipulate liquids and small objects in midair — all without touching the levitated material. This levitator is a completely enclosed tabletop system that can contain filtered air or inert gases useful for laboratory experimentation, such as helium, or argon. The sound waves it generates create three-dimensional traps, pockets of sound pressure, which provide a contactless, contamination-free way of containing, manipulating, and examining liquids, solids, and living organisms. Because it uses ultrasound, the device is inaudible to humans and safe for people to use as well as for any living organism the device might contain.
“One of the nice things our acoustic levitator can do is lift, manipulate, and contain living organisms without harming them,” Nakahara said. “You can put a living ant or mosquito into this device and examine it with a camera. You can look at the entire specimen while it’s alive, do species identification, and extract much more information than you could from a more conventional platform.”
The advantages of Nakahara and Smith’s levitator as compared to other laboratory automation systems are many. Because it is a completely enclosed, contactless system, it provides an encapsulated environment for experiments. It is capable of mixing liquids and manipulating levitated objects ranging from millimeters to nanometers in diameter— all without touching or contaminating the experimental material. It also can be programmed to automate the manipulation and data collection tasks of laboratory experiments, removing typical and often costly human errors that happen when people pipette liquids and handle materials. The device enables the user to view the reaction progress of their experiment from start to finish as well as examine it in great detail with cameras, spectrometers, or other sensors. This complete encapsulation and tight integration of the experimental procedure allows researchers to gather much more reliable data than what would otherwise be possible when using multiple pieces of equipment. And as a high-precision scientific instrument, this acoustic levitation system can measure the mass of levitated matter down to a nanogram without touching it.
In addition, Levity’s acoustic levitation system is a tabletop device that is easy to set up and use, and it can be run remotely offsite. Nakahara said that accessible, remote operation could open up a world of possibilities for users. For example, the levitator could be set up in underserved or hard-to-reach areas to run fast and accurate on-site tests for diseases. Or researchers could automate and run their experiments from outside the lab, enabling them to do other things while saving time and money. Or several of these acoustic levitators working together could be set up to operate much like a computer server farm does today — providing automated laboratory services for many different users, all from one, compact location.
Levity’s acoustic levitation system could appeal to researchers working in many different types of scientific applications. But for now, Nakahara said he sees Levity’s primary market being researchers who need liquid handling systems for DNA, proteins, and microscopic materials as part of their workflow, for example, when scientists are developing pharmaceuticals or medical diagnostics.
“I think the programmable laboratory space is interesting because we can potentially help to build life-saving pharmaceuticals, treatments for cancer, and personalized medicine as well as other new pharmaceuticals that could be coming to market,” Nakahara said. “If we can help doctors as well as the health-care industry provide faster diagnoses and better treatments, then that’s something of great benefit to everybody.”
How the Fellows Program will help Levity grow
[caption id="attachment_39180" align="alignright" width="550"]

Three acoustic levitators created by Nakahara and Smith during Levity’s prototyping phase. From left to right, in order of development: The V1 model, built to work with robotic grippers and expand their capabilities; Levity’s demonstration system, which offers a clear view of levitated objects; Levity’s contactless acoustic levitation system, which can hold up to four liquid or solid samples while manipulating the levitated objects along their vertical axes.[/caption]
Nadya Peek, an assistant professor in the
UW Department of Human Centered Design & Engineering, has also contributed to this project. Nakahara said that he considers Peek to be a mentor as well as a collaborator. Peek, whose research focuses on harnessing machine precision to enable individual creativity, has contributed her expertise to help make acoustic levitation useful to researchers.
The acoustic levitation research program in Smith’s lab has already received some academic research funding through a grant Smith and Peek received in 2020 from the
National Science Foundation. Smith, Peek, and Nakahara also received a grant in 2022 from the
CoMotion Innovation Gap Fund, which supports innovations developed at the UW that have high commercialization potential. Now that he is a UW ECE-EFP fellow, Nakahara believes he has the resources and support needed to take Levity to the next level.
“In addition to the funding, this Program provides support, mentorship, and networking opportunities through CoMotion,” Nakahara said. “The Fellows Program also gives us access to all the connections the University itself has, so we can leverage that network. Taken together, this enables us to grow in the right way, do additional customer discovery, and validate and de-risk our ideas before the acoustic levitator goes to the marketplace.”
Nakahara is currently in the midst of building what he calls a “minimum lovable product” — a top-tier product that Levity's customer base will love so much, they won’t want to do without it. To this end, he is distributing prototype systems to labs at the UW and gathering user feedback to fine-tune the product to the user’s wants and needs. He is also planning for growth in the coming year, when he anticipates distributing acoustic levitation system prototypes to research groups at other universities as well as companies that could use these devices for bioengineering and pharmaceutical research.
Looking ahead, Nakahara said he envisions Levity’s acoustic levitation system evolving so that it could provide an even wider range of laboratory services while, at the same time, offer researchers the option to execute those functions remotely.
“The opportunity to have real-world impact that can help accelerate and maybe contribute to the next big scientific discovery is personally motivating to me, “Nakahara said. “I’m excited to see all of the awesome innovations and advances that could come downstream from providing Levity’s acoustic levitation system to talented researchers.”
Sen Zhang — MultiSensKnit
[caption id="attachment_39182" align="alignright" width="550"]

UW ECE-EFP fellow Sen Zhang holds MultiSensKnit, a smart textile for rehabilitation assessment that is wearable, comfortable, and washable. MultiSensKnit is a knitted sleeve that contains conductive yarn (the gray strip on the sleeve) and sensors that can pick up EMG and EIT signals as well as measure joint angles while worn by the user. Behind Zhang, on the whiteboard, are calculations that illustrate the working principles behind MultiSensKnit.[/caption]
Sen Zhang grew up in Anyang City in Henan Province, China. As a child, he had several creative interests, and he loved to play. He enjoyed building structures with Legos®, making small, electrical cars and toys, and sewing fabric — all activities that, looking back, served as seeds for his engineering career today.
Both of his parents were medical doctors, and they expected their son to follow in their footsteps after high school. However, Zhang heard the beat of a different drum. When it was time for him to select a university and a course of study, he decided to major in textile engineering instead of pursuing a career in medicine. Zhang attended
Jiangnan University in Jiangsu Province, China, where he studied textile production. His coursework included learning how to spin yarn from source material, such as cotton, and weave or knit that yarn into fabric. His classes also taught him how spinning, weaving, and knitting could be used as industrial-scale techniques to produce finished fabrics for the marketplace.
In 2019, Zhang received his bachelor’s degree in textile engineering from Jiangnan University. He then went on to graduate studies at North Carolina State University’s
Wilson College of Textiles. In 2020, he received his master’s degree from NC State in textile engineering. And in 2023, he also earned a master’s degree in statistics from NC State. During graduate school, Zhang studied
smart textiles — fabrics that integrate electronic components, such as sensors and actuators. He decided that he wanted to further his study in this area, so he enrolled in the College’s doctoral program, where he did research focused on textile-based, soft, wearable robotics. In 2024, he received his doctoral degree from NC State in fiber and polymer science.
“I believe we have created something in the lab that will be helpful in the clinic. And that’s why I want to push MultiSensKnit out of the lab and into the marketplace as a real-world product."
— Sen Zhang, UW ECE postdoctoral scholar and 2025–26 UW ECE-EFP fellow
That same year, Zhang joined the lab of UW ECE Assistant Professor
Yiyue Luo as a postdoctoral scholar. Luo is a leader in the development of smart textiles and wearable technologies. Her research brings together digital fabrication, human-computer/robot interaction, and applied artificial intelligence. It was a perfect fit for Zhang, and Luo’s lab provided room for him to grow in his chosen field.
“Even though the research I did in my Ph.D. program was focused on textile-based, soft, wearable robotics, I had very little experience with wearable sensors and how they could be used,” Zhang said. “Yiyue brought me into this area. She also suggested that we should explore using wearable sensors to create medical devices.”
Zhang and Luo discussed this idea with UW ECE Professor
Chet Moritz. Moritz holds joint appointments in rehabilitation medicine, physiology, and biophysics, and he is co-director of the
Center for Neurotechnology. Moritz leads the
Restorative Technologies Lab at the UW, which develops neuroprosthetic technology to treat paralysis and other movement disorders. His lab regularly brings in people who have had a spinal cord injury, stroke, or other medical conditions to test and monitor their progress using neural devices he and his research team have designed. In their conversations with Moritz, Zhang and Luo realized that his lab might provide an opportunity for them to gather valuable user feedback on wearable technology that could assess a patient’s progress with rehabilitation exercises.
In-home rehabilitation assessment using wearable technology
[caption id="attachment_39184" align="alignright" width="550"]

Zhang with his adviser, UW ECE Assistant Professor Yiyue Luo, who wears a MultiSensKnit prototype on her arm. Zhang developed MultiSensKnit under Luo’s guidance.[/caption]
With guidance from Luo, Zhang developed
MultiSensKnit — a smart textile for rehabilitation assessment that is wearable, comfortable, and washable. MultiSensKnit is a soft, knitted sleeve Zhang produced by knitting conductive yarn with traditional yarn on an industrial-scale knitting machine in Luo’s lab. The conductive yarn is made out of stainless-steel fibers, which are spun together to form the yarn. Although the yarn is made out of steel, it feels like traditional yarn, soft to the touch. And because stainless steel is rust, stain, and corrosion resistant, the material is washable and wearable for long periods of time.
MultiSensKnit is a multimodal sensing smart textile. This knitted sleeve is embedded with electromyography, or EMG, sensors to measure the electrical activity of muscles and nerves in the bicep, triceps, and front of the arm. The device can also measure joint angles as the arm is moved and muscles are flexed. And as if that weren’t enough, MultiSensKnit also contains electrical impedance tomography, or EIT, sensors to construct a map of tissues inside the arm.
Currently, wearable sensors for rehabilitation assessment are unwieldy, and most can only measure one type of signal or marker from the body. Today, patients are required to come into clinics to put on multiple types of bulky equipment for rehabilitation assessment. This is expensive and inconvenient, to say the least, but it also means that the patient will have to repeat their rehabilitation exercises several times wearing different types of sensors. This can be tiring for the patients and taxing on their bodies.
In contrast, MultiSensKnit allows patients to simply put on a soft, knitted sleeve and wear it, just like they would any other piece of clothing, from the comfort of their own home. Zhang, Luo, and their research team have also developed small printed circuit boards, or PCBs, each about the size of a smart phone, which patients can put in their pockets while they do their rehabilitation exercises. The PCBs pick up data from the sensors in MultiSensKnit and transmit the information wirelessly to the patient’s phone or computer, which then sends the data through the internet to the patient’s health care provider.
“With this device, your clothes function as a wearable sensor, which to me, is a very exciting idea,” Zhang said. “MultiSensKnit is washable, durable, and comfortable. You don’t need to worry about the sensor as you go about your daily life. You can just wear it like normal apparel.”
How the Fellows Program will help MultiSensKnit grow
[caption id="attachment_39185" align="alignright" width="550"]

This close-up of MultiSensKnit shows gray squares of conductive yarn knit into white traditional yarn. The fabric is soft, durable, and washable. Inside the gray squares are EMG and EIT sensors that track muscle and nerve signals and can even map tissues inside the arm.[/caption]
According to the
World Health Organization, globally, an estimated 2.4 billion people are living with a health condition that could benefit from rehabilitation. And as people live longer and populations age, that number is expected to grow. This is a huge market. And because MultiSensKnit can be used to gather data from the body in several different ways, it could also be used for purposes other than rehabilitation, such as fitness tracking or helping athletes improve their performance. These areas also hold great potential for commercialization, but for now, Zhang said he is focusing their efforts primarily on providing the product to doctors and health-care clinics for rehabilitation assessment. He said he views the UW ECE-EFP as a key support mechanism for helping him to bring his research project to this marketplace.
“I really appreciate the entrepreneurship opportunities the fellowship provides. Because I’m a researcher, I spend much of my time in the lab. I did a lot of research on this smart sleeve, and I hope it can help to improve people’s lives,” Zhang said. “I didn’t know how to start a company and bring products to the market, so this Program is helping me learn how to create a startup, how to brand it, advertise, and move my product to the market, so people can buy it. It’s helping me not only to develop the technology but also to push this device out of our lab and into the real world.”
Zhang is also part of CoMotion’s Postdoctoral Entrepreneurship Program, where alongside other PEP participants, he works, studies, and learns how to commercialize a product while creating a startup. This program at CoMotion provides regular meetings and assignments for Zhang and his cohort. He will meet with an industry mentor through the PEP, which will provide further education and networking opportunities. He is also working with CoMotion to file the patent for MultiSensKnit.
In addition to filing for a patent, next steps for Zhang to commercialize MultiSensKnit include finishing the optimization of the smart sleeve according to feedback gathered from users in Moritz’ lab, setting up clinical trials for the device, and working toward acquiring Federal Drug Administration approval for the product.
When the time comes, Zhang is envisioning two stages for distributing MultiSensKnit to the public. In the first stage, he will partner with doctors, clinics, and telehealth providers. Patients will first purchase the product based on their health care provider’s recommendation. They will then work with a technician, physical therapist, or doctor, who will customize the fit of the smart sleeve to the patient’s arm and adjust electrode locations as needed. In the next stage of development, when the product is more mature, Zhang said he could imagine patients ordering MultiSensKnit directly from a major online retailer, such as Amazon. Patients could input their arm size and other parameters, then MultiSensKnit could be customized to fit that particular individual and shipped to them.
“We are using an industrial-scale, digital knitting machine, so it’s easy to customize garments for everyone. The logic is similar to a 3D printer, where you can print anything you want in any shape you desire,” Zhang said. “So, we don’t need a clothing company to cut and sew the fabric, we can produce this smart sleeve after gathering fitting information from the intended user and ship it to their home.”
Zhang has a lot to look forward to as he develops MultiSensKnit for the marketplace. And looking back, he noted where his personal motivation for this work springs from.
“Both of my parents were doctors, and I learned a lot from them and their experience in medicine. They have inspired me to make something that will help patients with the healing process,” Zhang said. “I believe we have created something in the lab that will be helpful in the clinic. And that’s why I want to push MultiSensKnit out of the lab and into the marketplace as a real-world product.”
Applications for the 2026–27 UW ECE-EFP cohort will open in the spring. More information is available on the UW ECE-EFP webpage and from UW ECE Career and Industry Programs Manager Rebecca Carlson. Both Jared Nakahara and Sen Zhang are currently open to and seeking collaborative opportunities for their research and product development. To inquire, contact Jared Nakahara at jarednak@uw.edu and Sen Zhang at szhang66@uw.edu.
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Applications are now open for
two tenure-track Assistant Professor positions at UW ECE. Visit the link below to apply via Interfolio.
Deadline: December 15, 2025
https://www.ece.uw.edu/engage/job-openings/
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UW ECE and Applied Mathematics Professor Nathan Kutz has been named to the Clarivate Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Photo by Ryan Hoover / UW ECE[/caption]
UW ECE is proud to announce that
Professor Nathan Kutz was recently named to the Clarivate
Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Kutz is one of
56 UW faculty and researchers recognized.
Kutz is a Boeing Professor in AI & Data-Driven Engineering and holds a joint appointment between UW ECE and the
UW Department of Applied Mathematics. He is an expert in machine learning, data science, dynamical systems, scientific computing, and control systems. His research applies computational and mathematical methods across engineering, as well as the physical and biological sciences.
In addition to this recognition from Clarivate, Kutz has earned numerous prestigious honors throughout his career. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), a recipient of a National Science Foundation CAREER Award, and previously served as chair of the UW Department of Applied Mathematics from 2007 to 2015.
“I’m honored by this recognition,” Kutz said. “It reflects the creativity and dedication of the students and collaborators I’ve had the privilege to work with.”
The Clarivate Highly Cited Researchers list identifies scholars who demonstrated significant and broad influence in their chosen field or fields through the publication of multiple highly cited papers during the last decade. This annual list names researchers whose work ranks among the top 1% of citations for their field and publication year in the
Web of Science citation index.
The 2025 list includes 7,131 awards from more than 1,300 institutions in 60 countries and regions. According to Clarivate, these individuals represent a small fraction of the global research community yet contribute disproportionately to advancing knowledge and driving innovation. The rankings are determined using
data and analysis from bibliometric experts and data scientists at Clarivate’s Institute for Scientific Information.
Kutz is part of a distinguished group of UW ECE faculty who have earned major awards and are recognized as highly cited researchers in their fields. To learn more about the accomplishments of UW ECE faculty, visit our Faculty Highlights webpage.
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UW ECE and Applied Mathematics Professor Nathan Kutz has been named to the Clarivate Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Photo by Ryan Hoover / UW ECE[/caption]
UW ECE is proud to announce that
Professor Nathan Kutz was recently named to the Clarivate
Highly Cited Researchers 2025 list, a distinction that celebrates researchers whose work has shaped their fields. Kutz is one of
56 UW faculty and researchers recognized.
Kutz is a Boeing Professor in AI & Data-Driven Engineering and holds a joint appointment between UW ECE and the
UW Department of Applied Mathematics. He is an expert in machine learning, data science, dynamical systems, scientific computing, and control systems. His research applies computational and mathematical methods across engineering, as well as the physical and biological sciences.
In addition to this recognition from Clarivate, Kutz has earned numerous prestigious honors throughout his career. He is a Fellow of the Society for Industrial and Applied Mathematics (SIAM), a recipient of a National Science Foundation CAREER Award, and previously served as chair of the UW Department of Applied Mathematics from 2007 to 2015.
“I’m honored by this recognition,” Kutz said. “It reflects the creativity and dedication of the students and collaborators I’ve had the privilege to work with.”
The Clarivate Highly Cited Researchers list identifies scholars who demonstrated significant and broad influence in their chosen field or fields through the publication of multiple highly cited papers during the last decade. This annual list names researchers whose work ranks among the top 1% of citations for their field and publication year in the
Web of Science citation index.
The 2025 list includes 7,131 awards from more than 1,300 institutions in 60 countries and regions. According to Clarivate, these individuals represent a small fraction of the global research community yet contribute disproportionately to advancing knowledge and driving innovation. The rankings are determined using
data and analysis from bibliometric experts and data scientists at Clarivate’s Institute for Scientific Information.
Kutz is part of a distinguished group of UW ECE faculty who have earned major awards and are recognized as highly cited researchers in their fields. To learn more about the accomplishments of UW ECE faculty, visit our Faculty Highlights webpage.
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Read the latest issue of The Integrator, UW ECE's annual magazine highlighting faculty and student research, alumni news, and more!
Read previous issues of The Integrator
here.
[post_title] => The Integrator 2025–2026
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By Wayne Gillam /
UW ECE News
[caption id="attachment_39433" align="alignright" width="600"]

UW ECE doctoral student Mingfei Chen has received a 2025 Google PhD Fellowship in Machine Perception. This award supports Chen’s pioneering work developing AI systems capable of perceiving and understanding three-dimensional spaces — a capability that could transform robotics, augmented reality, and assistive technologies. Photo by Ryan Hoover / UW ECE[/caption]
UW ECE doctoral student
Mingfei Chen was recently awarded a
2025 Google PhD Fellowship in Machine Perception. This award is one of the most competitive honors for doctoral students in artificial intelligence research today.
Google.or
g awarded this fellowship to Chen to support her work developing AI systems that can sense and comprehend three-dimensional spaces. In late October, Google announced the fellowship recipients in its official blog,
The Keyword.
The
Google PhD Fellowship Program, now in its 16th year, supports outstanding graduate students who are conducting exceptional and innovative research in computer science and related fields, specifically focusing on candidates who seek to influence the future of technology. The Program provides vital direct financial support for its recipients’ doctoral degree pursuits and connects each Fellow with a dedicated Google Research Mentor, reinforcing the company’s commitment to nurturing the academic community.
Chen’s research: Spatially aware AI
Chen, a third-year doctoral student in the
UW NeuroAI Lab, which is directed by her adviser, UW ECE Associate Professor
Eli Shlizerman, is developing spatially aware multimodal AI systems that are trustworthy, safe, and human-centered. Her research focuses on enabling AI to perceive and understand three-dimensional spaces — a capability that could transform robotics,
augmented reality, and assistive technologies.
"I am very excited about building AI systems that can truly perceive the world — not just through vision and language, but through spatial awareness and more modalities." — UW ECE doctoral student Mingfei Chen
“Barely a few years into her doctoral research, Mingfei has already built cutting-edge deep learning models that combine sound and vision to create detailed representations of 3D scenes — both real and virtual,” Shlizerman said. “Now, Mingfei is daring to take this even further. She is exploring how machines equipped with deep learning can understand the scenes they perceive. It’s an exciting and bold direction, and the Google PhD Fellowship will empower Mingfei to make it a reality.”
Real-world applications
[caption id="attachment_39441" align="alignright" width="450"]

Google.org is providing over $10 million to support 255 doctoral students like Chen across 35 countries and 12 research domains, committing to a new generation of researchers who understand that accelerating scientific discovery is vital to solving the world’s toughest challenges.[/caption]
Like humans, spatially aware multimodal AI systems use sensing modalities, such as vision, sound, and motion, to build contextual awareness and an understanding of a three-dimensional space. These AI systems also use other modes, such as language and geometry, to enrich their understanding. This technology could help to make the world more accessible and supportive for people, especially for those with disabilities or limited mobility. Potential applications include:
- Spatial memory assistants: AI-equipped eyeglasses could help a person remember where they placed their keys or track how a room changes over time — using vision, sound, and spatial cues to retrieve useful information from the environment.
- Safety in dynamic environments: Wearable devices could detect approaching vehicles or obstacles outside a person’s field of view and provide directional audio alerts.
- Interactive spatial guidance: AI assistants could help people navigate complex environments by aligning audio cues with visual context. For example, when an assistant says “the object on your left,” the sound could originate from the user’s left side, linking language, vision, and spatial geometry. In public spaces like museums, these assistants could fuse real-time visual recognition with spatial audio to direct visitors toward exhibits and deliver information hands-free, enabling intuitive navigation without relying solely on sight.
- Immersive virtual re-experiencing: Spatially aware multimodal AI systems could recreate real environments for virtual tourism or memory replay. Instead of viewing static images or videos, users could “re-live” dynamic scenes (for example, standing near a landmark like the Eiffel Tower) with spatial audio and 3D geometry that deliver a natural, embodied experience.
Empowering STEM education
Chen is also passionate about contributing to STEM education and entrepreneurship. For the past two years, she has served as lead teaching assistant for UW ECE’s
Engineering Innovation and Entrepreneurship (ENGINE) capstone program, mentoring over 100 students and coordinating a team of eight teaching assistants. Through ENGINE, Chen has helped foster interdisciplinary collaboration on real-world engineering projects with leading technology companies. She said she is excited to contribute to similar projects in the future through the University as well as through global collaboration opportunities, such as those the Google PhD Fellowship might provide.
Looking ahead
Chen said that this fellowship gives her freedom to pursue unconventional and challenging research directions without being constrained by short-term trends in the field. She is looking forward to collaborating with Google researchers and continuing to build AI systems that enhance productivity, autonomy, and quality of life.
“I am very excited about building AI systems that can truly perceive the world — not just through vision and language, but through spatial awareness and more modalities,” Chen said. “Humans intuitively combine sight, sound, and context to understand the three-dimensional world around us. Pursuing this direction could unlock a deeper form of perception for AI — crucial for future technologies like smart glasses, spatial assistants, and personal robots.”
For more information about Mingfei Chen and her research, visit the UW NeuroAI Lab website.
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UW ECE Professor Maryam Fazel receives the 2025 Farkas Prize from the INFORMS Optimization Society. The award was presented on October 26 at the INFORMS Annual Meeting in Atlanta, Georgia, by Katya Scheinberg (left), Coca-Cola Foundation Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, and Andrea Lodi (right), the Andrew H. and Ann R. Tisch Professor of operations research and information engineering at Cornell University.[/caption]
The University of Washington Department of Electrical & Computer Engineering congratulates Professor
Maryam Fazel, recipient of the
2025 Farkas Prize from the Institute for Operations Research and the Management Sciences, or INFORMS, Optimization Society. She accepted the award in late October during the INFORMS Annual Meeting in Atlanta, Georgia.
The Farkas Prize is an annual award honoring a mid-career researcher for outstanding, career-spanning contributions to the field of optimization — a discipline that develops mathematical models and algorithms to improve decision making, advance engineering design, and provide the computational foundation for machine learning systems.
Fazel was recognized for her foundational work in optimization and her pioneering contributions to data science and artificial intelligence. The award was presented on Sunday, October 26, at the
INFORMS Annual Meeting in Atlanta, Georgia.
“I’m deeply honored to receive the Farkas Prize. Optimization has been a central theme in my research, and it’s exciting to see its growing impact on fields like data science and artificial intelligence,” Fazel said. “This recognition reflects the incredible collaborations I’ve had with students, postdoctoral scholars, and colleagues over the years, and I look forward to continuing to explore new challenges in this area.”
Fazel holds the
Moorthy Family Inspiration Career Development Professorship and serves as director of the
Institute for Foundations of Data Science at the UW. INFORMS promotes the development and application of data optimization methods and software tools to solve complex problems in operations research and management science.
Learn more about the Farkas Prize on the INFORMS website.
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Article by Wayne Gillam, Photos by Ryan Hoover /
UW ECE News
[caption id="attachment_39171" align="alignright" width="550"]

The new UW ECE Entrepreneurial Fellows Program, or UW ECE-EFP, helps translate research into real-world impact. On the left, UW ECE-EFP fellow Jared Nakahara adds droplets into an acoustic levitation prototype he created with his adviser, UW ECE and Allen School Professor Joshua Smith. Together, they co-founded Levity, a startup building acoustic levitators for lab automation. On the right, UW ECE-EFP fellow Sen Zhang holds MultiSensKnit, a sensor-packed knitted sleeve designed for rehabilitation assessment. Zhang created and developed MultiSensKnit with UW ECE Assistant Professor Yiyue Luo.[/caption]
According to the UW’s innovation hub,
CoMotion, UW ECE consistently ranks among the University’s leading generators of startup companies. The Department has maintained this distinction for decades, alongside its strong academic reputation and longstanding history of supporting entrepreneurship. But UW ECE isn’t resting on that legacy. In early 2025, the Department created a new program aimed at fostering and developing entrepreneurs.
The new
UW ECE Entrepreneurial Fellows Program, or UW ECE-EFP, is funded exclusively by royalties earned on UW ECE innovations. The Program is designed to support the transfer of research advances into commercialized impact through prototyping, customer discovery, and market analysis.
“This new program enables fellowship recipients to leverage the richness of the entrepreneurial spirit that’s within UW ECE, the UW College of Engineering, and the broader University,” said UW ECE Career and Industry Programs Manager
Rebecca Carlson, who facilitates the UW ECE-EFP. “There is a wide variety of instructors and professors here who have started companies, staff and Department affiliates with industry experience, and an alumni network that can help support our fellows in their entrepreneurial endeavors.”
“Innovation starts here because our Department is a place where ideas are born and developed in a serious way.”
— UW ECE Professor and Chair Eric Klavins
Fellowship recipients receive a postdoctoral scholar salary and benefits for one year, partial salary support for their faculty adviser, mentorship from the University's network of industry experts and entrepreneurs, and support for travel and expenses. UW ECE also partners with the CoMotion
Postdoctoral Entrepreneurship Program to provide fellowship recipients with access to an entrepreneurial cohort and a strong support network. This close partnership with CoMotion helps fellows move their research out of the lab and into the marketplace. Current UW ECE doctoral students and postdoctoral scholars as well as those eligible for a postdoctoral scholar position in the Department can apply to the UW ECE-EFP.
“Innovation starts here because our Department is a place where ideas are born and developed in a serious way,” said UW ECE Professor and Chair
Eric Klavins. “When we promote entrepreneurship through programs like this, it highlights one of the many ways universities benefit our greater society — serving as a supportive place where people can turn their dreams into reality.”
Read on to learn about the inaugural 2025–26 UW ECE-EFP fellows and how, with the help of this new program, they are each realizing their own vision for the future by turning their research projects into commercial ventures.
Jared Nakahara — Levity
[caption id="attachment_39175" align="alignright" width="550"]

Levity builds acoustic levitators for automated, contamination-free experiments requiring precise control. The prototype shown above, operated by Nakahara, uses ultrasonic sound waves — well above the threshold of human hearing — to suspend and manipulate droplets and small objects in midair without physical contact.[/caption]
Born and raised in the Seattle area, Jared Nakahara first became interested in engineering when he was in high school, during a summer program at the
DigiPen Institute of Technology, a video game and arts college located in Redmond, Washington. The program was provided by the
Washington Network for Innovative Careers, and it gave Nakahara his first exposure to robotics, coding, and mechatronics — technology combining mechanical engineering and electronics. Talented in sports and contemplating a career in baseball, Nakahara was inspired by the WANIC program to have a change of heart. He moved his focus from baseball to engineering. Both of Nakahara’s parents were engineers, and being familiar with the field, they encouraged this new direction for their son.
The WANIC summer program sparked what became for Nakahara a passionate interest in electrical and computer engineering. He decided to pursue engineering as a career, and he returned to DigiPen in subsequent years to teach engineering topics to pre-college students. Nakahara chose to study engineering at UW ECE, and he took his education all the way, earning his bachelor’s, master’s, and doctoral degrees in electrical engineering in 2018, 2021, and 2025, respectively.
As a UW ECE undergraduate, Nakahara was initially interested in quantum computing technologies, but after taking a course on field-programmable gate arrays, or FPGAs, taught by UW ECE and Allen School Professor
Joshua Smith, his interest shifted to neural engineering. Smith, who is a research leader in the
Center for Neurotechnology, was building implantable neural interfaces for spinal cord rehabilitation. The topic fascinated Nakahara. So much so, he joined Smith’s
Sensor Systems Laboratory, and when he started graduate school, Smith became his faculty adviser. Today, Nakahara is a postdoctoral scholar in Smith’s lab.
“I think the programmable laboratory space is interesting because we can potentially help to build life-saving pharmaceuticals, treatments for cancer, and personalized medicine as well as other new pharmaceuticals that could be coming to market.”
— Jared Nakahara, UW ECE postdoctoral scholar and 2025–26 UW ECE-EFP fellow
When Nakahara was a graduate student, he and Smith were inspired by
transcranial magnetic stimulation, a treatment used for neural disorders, such as depression. With this in mind, they began investigating ways to use
acoustic levitation technology to build a non-invasive stimulator for neurons. Acoustic levitation uses high-frequency sound waves (ultrasound) to suspend and move matter in liquids or gas, overcoming gravity. Around this same time, Nakahara developed an interest in robotic manipulation. He built and experimented with different acoustic levitation systems, aiming to develop a tool that could augment the capabilities of general-purpose robots, giving these robots improved manipulation precision and the ability to handle small or fragile objects without making physical contact.
“Bringing the acoustic levitator into the robotic sphere became a fascinating thing for me because I could do it very quickly, innovating on the controls as well as the hardware and software stack,” Nakahara said. “Once I went down that rabbit hole, it evolved into a much bigger thing when I realized our acoustic levitator could be used as a robotic manipulation platform.”
Through discussions with Smith, Nakahara realized that the acoustic levitator they were developing could be beneficial for laboratory experiments in bioengineering and materials science that needed to be automated, contamination-free, and executed with precision. With Smith’s support, Nakahara switched his research focus from neural engineering to acoustic levitation systems. Now, he and Smith are in the early stages of co-founding
Levity, a startup company dedicated to building acoustic levitators for laboratory automation.
An acoustic levitation system for next-generation laboratory automation
[caption id="attachment_39177" align="alignright" width="550"]

Levity’s tabletop acoustic levitation system is quick to set up and operate, and it can even run remotely. Nakahara demonstrates the prototype while Smith observes — showing how easy this device is to use.[/caption]
What Levity’s acoustic levitation system does could seem like science fiction. The device uses high-frequency sound, well above the threshold of human hearing, to levitate, contain, and manipulate liquids and small objects in midair — all without touching the levitated material. This levitator is a completely enclosed tabletop system that can contain filtered air or inert gases useful for laboratory experimentation, such as helium, or argon. The sound waves it generates create three-dimensional traps, pockets of sound pressure, which provide a contactless, contamination-free way of containing, manipulating, and examining liquids, solids, and living organisms. Because it uses ultrasound, the device is inaudible to humans and safe for people to use as well as for any living organism the device might contain.
“One of the nice things our acoustic levitator can do is lift, manipulate, and contain living organisms without harming them,” Nakahara said. “You can put a living ant or mosquito into this device and examine it with a camera. You can look at the entire specimen while it’s alive, do species identification, and extract much more information than you could from a more conventional platform.”
The advantages of Nakahara and Smith’s levitator as compared to other laboratory automation systems are many. Because it is a completely enclosed, contactless system, it provides an encapsulated environment for experiments. It is capable of mixing liquids and manipulating levitated objects ranging from millimeters to nanometers in diameter— all without touching or contaminating the experimental material. It also can be programmed to automate the manipulation and data collection tasks of laboratory experiments, removing typical and often costly human errors that happen when people pipette liquids and handle materials. The device enables the user to view the reaction progress of their experiment from start to finish as well as examine it in great detail with cameras, spectrometers, or other sensors. This complete encapsulation and tight integration of the experimental procedure allows researchers to gather much more reliable data than what would otherwise be possible when using multiple pieces of equipment. And as a high-precision scientific instrument, this acoustic levitation system can measure the mass of levitated matter down to a nanogram without touching it.
In addition, Levity’s acoustic levitation system is a tabletop device that is easy to set up and use, and it can be run remotely offsite. Nakahara said that accessible, remote operation could open up a world of possibilities for users. For example, the levitator could be set up in underserved or hard-to-reach areas to run fast and accurate on-site tests for diseases. Or researchers could automate and run their experiments from outside the lab, enabling them to do other things while saving time and money. Or several of these acoustic levitators working together could be set up to operate much like a computer server farm does today — providing automated laboratory services for many different users, all from one, compact location.
Levity’s acoustic levitation system could appeal to researchers working in many different types of scientific applications. But for now, Nakahara said he sees Levity’s primary market being researchers who need liquid handling systems for DNA, proteins, and microscopic materials as part of their workflow, for example, when scientists are developing pharmaceuticals or medical diagnostics.
“I think the programmable laboratory space is interesting because we can potentially help to build life-saving pharmaceuticals, treatments for cancer, and personalized medicine as well as other new pharmaceuticals that could be coming to market,” Nakahara said. “If we can help doctors as well as the health-care industry provide faster diagnoses and better treatments, then that’s something of great benefit to everybody.”
How the Fellows Program will help Levity grow
[caption id="attachment_39180" align="alignright" width="550"]

Three acoustic levitators created by Nakahara and Smith during Levity’s prototyping phase. From left to right, in order of development: The V1 model, built to work with robotic grippers and expand their capabilities; Levity’s demonstration system, which offers a clear view of levitated objects; Levity’s contactless acoustic levitation system, which can hold up to four liquid or solid samples while manipulating the levitated objects along their vertical axes.[/caption]
Nadya Peek, an assistant professor in the
UW Department of Human Centered Design & Engineering, has also contributed to this project. Nakahara said that he considers Peek to be a mentor as well as a collaborator. Peek, whose research focuses on harnessing machine precision to enable individual creativity, has contributed her expertise to help make acoustic levitation useful to researchers.
The acoustic levitation research program in Smith’s lab has already received some academic research funding through a grant Smith and Peek received in 2020 from the
National Science Foundation. Smith, Peek, and Nakahara also received a grant in 2022 from the
CoMotion Innovation Gap Fund, which supports innovations developed at the UW that have high commercialization potential. Now that he is a UW ECE-EFP fellow, Nakahara believes he has the resources and support needed to take Levity to the next level.
“In addition to the funding, this Program provides support, mentorship, and networking opportunities through CoMotion,” Nakahara said. “The Fellows Program also gives us access to all the connections the University itself has, so we can leverage that network. Taken together, this enables us to grow in the right way, do additional customer discovery, and validate and de-risk our ideas before the acoustic levitator goes to the marketplace.”
Nakahara is currently in the midst of building what he calls a “minimum lovable product” — a top-tier product that Levity's customer base will love so much, they won’t want to do without it. To this end, he is distributing prototype systems to labs at the UW and gathering user feedback to fine-tune the product to the user’s wants and needs. He is also planning for growth in the coming year, when he anticipates distributing acoustic levitation system prototypes to research groups at other universities as well as companies that could use these devices for bioengineering and pharmaceutical research.
Looking ahead, Nakahara said he envisions Levity’s acoustic levitation system evolving so that it could provide an even wider range of laboratory services while, at the same time, offer researchers the option to execute those functions remotely.
“The opportunity to have real-world impact that can help accelerate and maybe contribute to the next big scientific discovery is personally motivating to me, “Nakahara said. “I’m excited to see all of the awesome innovations and advances that could come downstream from providing Levity’s acoustic levitation system to talented researchers.”
Sen Zhang — MultiSensKnit
[caption id="attachment_39182" align="alignright" width="550"]

UW ECE-EFP fellow Sen Zhang holds MultiSensKnit, a smart textile for rehabilitation assessment that is wearable, comfortable, and washable. MultiSensKnit is a knitted sleeve that contains conductive yarn (the gray strip on the sleeve) and sensors that can pick up EMG and EIT signals as well as measure joint angles while worn by the user. Behind Zhang, on the whiteboard, are calculations that illustrate the working principles behind MultiSensKnit.[/caption]
Sen Zhang grew up in Anyang City in Henan Province, China. As a child, he had several creative interests, and he loved to play. He enjoyed building structures with Legos®, making small, electrical cars and toys, and sewing fabric — all activities that, looking back, served as seeds for his engineering career today.
Both of his parents were medical doctors, and they expected their son to follow in their footsteps after high school. However, Zhang heard the beat of a different drum. When it was time for him to select a university and a course of study, he decided to major in textile engineering instead of pursuing a career in medicine. Zhang attended
Jiangnan University in Jiangsu Province, China, where he studied textile production. His coursework included learning how to spin yarn from source material, such as cotton, and weave or knit that yarn into fabric. His classes also taught him how spinning, weaving, and knitting could be used as industrial-scale techniques to produce finished fabrics for the marketplace.
In 2019, Zhang received his bachelor’s degree in textile engineering from Jiangnan University. He then went on to graduate studies at North Carolina State University’s
Wilson College of Textiles. In 2020, he received his master’s degree from NC State in textile engineering. And in 2023, he also earned a master’s degree in statistics from NC State. During graduate school, Zhang studied
smart textiles — fabrics that integrate electronic components, such as sensors and actuators. He decided that he wanted to further his study in this area, so he enrolled in the College’s doctoral program, where he did research focused on textile-based, soft, wearable robotics. In 2024, he received his doctoral degree from NC State in fiber and polymer science.
“I believe we have created something in the lab that will be helpful in the clinic. And that’s why I want to push MultiSensKnit out of the lab and into the marketplace as a real-world product."
— Sen Zhang, UW ECE postdoctoral scholar and 2025–26 UW ECE-EFP fellow
That same year, Zhang joined the lab of UW ECE Assistant Professor
Yiyue Luo as a postdoctoral scholar. Luo is a leader in the development of smart textiles and wearable technologies. Her research brings together digital fabrication, human-computer/robot interaction, and applied artificial intelligence. It was a perfect fit for Zhang, and Luo’s lab provided room for him to grow in his chosen field.
“Even though the research I did in my Ph.D. program was focused on textile-based, soft, wearable robotics, I had very little experience with wearable sensors and how they could be used,” Zhang said. “Yiyue brought me into this area. She also suggested that we should explore using wearable sensors to create medical devices.”
Zhang and Luo discussed this idea with UW ECE Professor
Chet Moritz. Moritz holds joint appointments in rehabilitation medicine, physiology, and biophysics, and he is co-director of the
Center for Neurotechnology. Moritz leads the
Restorative Technologies Lab at the UW, which develops neuroprosthetic technology to treat paralysis and other movement disorders. His lab regularly brings in people who have had a spinal cord injury, stroke, or other medical conditions to test and monitor their progress using neural devices he and his research team have designed. In their conversations with Moritz, Zhang and Luo realized that his lab might provide an opportunity for them to gather valuable user feedback on wearable technology that could assess a patient’s progress with rehabilitation exercises.
In-home rehabilitation assessment using wearable technology
[caption id="attachment_39184" align="alignright" width="550"]

Zhang with his adviser, UW ECE Assistant Professor Yiyue Luo, who wears a MultiSensKnit prototype on her arm. Zhang developed MultiSensKnit under Luo’s guidance.[/caption]
With guidance from Luo, Zhang developed
MultiSensKnit — a smart textile for rehabilitation assessment that is wearable, comfortable, and washable. MultiSensKnit is a soft, knitted sleeve Zhang produced by knitting conductive yarn with traditional yarn on an industrial-scale knitting machine in Luo’s lab. The conductive yarn is made out of stainless-steel fibers, which are spun together to form the yarn. Although the yarn is made out of steel, it feels like traditional yarn, soft to the touch. And because stainless steel is rust, stain, and corrosion resistant, the material is washable and wearable for long periods of time.
MultiSensKnit is a multimodal sensing smart textile. This knitted sleeve is embedded with electromyography, or EMG, sensors to measure the electrical activity of muscles and nerves in the bicep, triceps, and front of the arm. The device can also measure joint angles as the arm is moved and muscles are flexed. And as if that weren’t enough, MultiSensKnit also contains electrical impedance tomography, or EIT, sensors to construct a map of tissues inside the arm.
Currently, wearable sensors for rehabilitation assessment are unwieldy, and most can only measure one type of signal or marker from the body. Today, patients are required to come into clinics to put on multiple types of bulky equipment for rehabilitation assessment. This is expensive and inconvenient, to say the least, but it also means that the patient will have to repeat their rehabilitation exercises several times wearing different types of sensors. This can be tiring for the patients and taxing on their bodies.
In contrast, MultiSensKnit allows patients to simply put on a soft, knitted sleeve and wear it, just like they would any other piece of clothing, from the comfort of their own home. Zhang, Luo, and their research team have also developed small printed circuit boards, or PCBs, each about the size of a smart phone, which patients can put in their pockets while they do their rehabilitation exercises. The PCBs pick up data from the sensors in MultiSensKnit and transmit the information wirelessly to the patient’s phone or computer, which then sends the data through the internet to the patient’s health care provider.
“With this device, your clothes function as a wearable sensor, which to me, is a very exciting idea,” Zhang said. “MultiSensKnit is washable, durable, and comfortable. You don’t need to worry about the sensor as you go about your daily life. You can just wear it like normal apparel.”
How the Fellows Program will help MultiSensKnit grow
[caption id="attachment_39185" align="alignright" width="550"]

This close-up of MultiSensKnit shows gray squares of conductive yarn knit into white traditional yarn. The fabric is soft, durable, and washable. Inside the gray squares are EMG and EIT sensors that track muscle and nerve signals and can even map tissues inside the arm.[/caption]
According to the
World Health Organization, globally, an estimated 2.4 billion people are living with a health condition that could benefit from rehabilitation. And as people live longer and populations age, that number is expected to grow. This is a huge market. And because MultiSensKnit can be used to gather data from the body in several different ways, it could also be used for purposes other than rehabilitation, such as fitness tracking or helping athletes improve their performance. These areas also hold great potential for commercialization, but for now, Zhang said he is focusing their efforts primarily on providing the product to doctors and health-care clinics for rehabilitation assessment. He said he views the UW ECE-EFP as a key support mechanism for helping him to bring his research project to this marketplace.
“I really appreciate the entrepreneurship opportunities the fellowship provides. Because I’m a researcher, I spend much of my time in the lab. I did a lot of research on this smart sleeve, and I hope it can help to improve people’s lives,” Zhang said. “I didn’t know how to start a company and bring products to the market, so this Program is helping me learn how to create a startup, how to brand it, advertise, and move my product to the market, so people can buy it. It’s helping me not only to develop the technology but also to push this device out of our lab and into the real world.”
Zhang is also part of CoMotion’s Postdoctoral Entrepreneurship Program, where alongside other PEP participants, he works, studies, and learns how to commercialize a product while creating a startup. This program at CoMotion provides regular meetings and assignments for Zhang and his cohort. He will meet with an industry mentor through the PEP, which will provide further education and networking opportunities. He is also working with CoMotion to file the patent for MultiSensKnit.
In addition to filing for a patent, next steps for Zhang to commercialize MultiSensKnit include finishing the optimization of the smart sleeve according to feedback gathered from users in Moritz’ lab, setting up clinical trials for the device, and working toward acquiring Federal Drug Administration approval for the product.
When the time comes, Zhang is envisioning two stages for distributing MultiSensKnit to the public. In the first stage, he will partner with doctors, clinics, and telehealth providers. Patients will first purchase the product based on their health care provider’s recommendation. They will then work with a technician, physical therapist, or doctor, who will customize the fit of the smart sleeve to the patient’s arm and adjust electrode locations as needed. In the next stage of development, when the product is more mature, Zhang said he could imagine patients ordering MultiSensKnit directly from a major online retailer, such as Amazon. Patients could input their arm size and other parameters, then MultiSensKnit could be customized to fit that particular individual and shipped to them.
“We are using an industrial-scale, digital knitting machine, so it’s easy to customize garments for everyone. The logic is similar to a 3D printer, where you can print anything you want in any shape you desire,” Zhang said. “So, we don’t need a clothing company to cut and sew the fabric, we can produce this smart sleeve after gathering fitting information from the intended user and ship it to their home.”
Zhang has a lot to look forward to as he develops MultiSensKnit for the marketplace. And looking back, he noted where his personal motivation for this work springs from.
“Both of my parents were doctors, and I learned a lot from them and their experience in medicine. They have inspired me to make something that will help patients with the healing process,” Zhang said. “I believe we have created something in the lab that will be helpful in the clinic. And that’s why I want to push MultiSensKnit out of the lab and into the marketplace as a real-world product.”
Applications for the 2026–27 UW ECE-EFP cohort will open in the spring. More information is available on the UW ECE-EFP webpage and from UW ECE Career and Industry Programs Manager Rebecca Carlson. Both Jared Nakahara and Sen Zhang are currently open to and seeking collaborative opportunities for their research and product development. To inquire, contact Jared Nakahara at jarednak@uw.edu and Sen Zhang at szhang66@uw.edu.
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Applications are now open for
two tenure-track Assistant Professor positions at UW ECE. Visit the link below to apply via Interfolio.
Deadline: December 15, 2025
https://www.ece.uw.edu/engage/job-openings/
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