March 11, 2026
Next-Gen Urban Ecosystem & The Emerging Data Market
The next generation urban ecosystem, empowered by internet of things (IoT), has at its core a shared economy where resources are easily aggregated and exchanged. In consequence, a new market place is emerging in which both physical and information-based resources are valuable commodities. Our research is developing learning and optimization schemes that address inefficiencies arising…
Intelligent Compact Optical Sensors (iCOS)
The Internet of Things requires a large number of sensors, which need to be compact and low power while remaining intelligent enough for data processing. Our research is addressing this problem by using nanophotonics, specifically integrated photonics, to achieve an incredibly compact sensor. The challenge with extremely small sensors is achieving high performance. Our research…
Collaborative Research: Certifiable, Scalable, and Attack-resilient Submodular Control Framework for Smart Grid Stability (NSF CPS Synergy)
This research is a collaborative effort towards a certifiable, scalable, and attack-resilient control framework for Smart Grid stability. There are four research thrusts: (a) Maintaining voltage stability, (b) Certifiable online algorithms for small-signal stability, (c) Certifiable controlled islanding for transient stability, and (d) Testbed validation and prototyping. The goal is to have reliable and sustainable…
Micro-instrumentation by Optical MEMS
We have developed a scanning micro-mirror with an adjustable focal length for endoscope applications. With active focus tracking capability, it allows high-resolution 3D imaging to be achieved with the endoscope system, which can significantly improve the currently limited ability for detecting early and pre-cancers.
Towards a Science of Attack Composition, Mitigation, and Verification in Cyber-Physical Systems (NSF CPS Breakthrough)
In this project, we develop a passivity-based approach to modeling, composing, and mitigating attacks on cyber-physical systems. The goal is to investigate and develop transformations for decomposition of composed adversary models into attack primitives, leading to identification of new attacks and development of resource-efficient mitigation strategies.
Self-assembling Microsystems
There is a growing demand for heterogeneous microsystems that integrate sensing, actuation, computation and communication into a single package. This demand drives the development of cost-effective assembly methods for handling very large numbers of very small components. Self-assembly, the autonomous and spontaneous organization of components into patterns and structures, compares favorably to robotic pick-and-place methods…
On Board Chute Based Image Analyses for Electronic Fishery Monitoring
As fisheries worldwide strive to produce a sustainable seafood supply, systematic monitoring of fish stocks is increasingly important. To obtain accurate fish counts, federal fisheries are increasingly incorporating electronic monitoring into fishery data collection. The goal is to develop a live fish counting, length measurement and species-recognition system, based on the data collected using a…
Intracellular Neuronal Recording with Flexible Micro-machining Probe Implants
This project developed an implantable sub-micron silicon probe device, with flexible interconnects, for intracellular neuronal recording. The research involved advanced microfabrication technologies, such as deep reactive ion etching (DRIE) and laser micromachining.
Predictive Dynamical Models for Sensorimotor Control of Legged Locomotion
As they move through and interact with the world, able-bodied people and animals exhibit mastery of dynamic locomotion and dexterous manipulation of their bodies. The performance of robots with legs and arms pales in comparison to their animal counterparts. To address this gap, we seek analytical, computational and experimental tools that will enable robots to…
Underwater Video Analyses for Fishery Science
Estimating the abundance of specific populations of commercially significant fish is critical in oceanography and fisheries science. Automated fish-counting provides necessary estimates, although fish are often caught using bottom and midwater trawls via fishing nets pulled by boats, meaning that automated methods face the challenge of being underwater. To overcome this problem, video data can…
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