Student who is familiar with microprocessors and Python for smart watch for biosensor interface for healthcare
My lab has ongoing projects on hardware, software and model/control aspects of cyborg insect robots and disease control by construction of network of interactions between, genes, proteins, signals, drugs etc. alongside innovative hardware/software implementations. Undergrads interested and/or knowledgeable in biomedical hardware/software and control systems are welcome to join the lab
Students who are interested in power and energy systems and with a background in power systems, optimization, AI, and control.
I take undergrad students usually on independent studies where they do many tasks related to: data collection and visualization from sensor network, software development for robotics related tasks, conducting both simulation and real experiments for testing path planning algorithms, and also hardware development.
We work at the intersection of material science, physics and electronics. Our current focus is on phase change memory devices, Ovonic threshold switches, field effect transistors (FETs), electro-thermal processes, electronic and thermal transport at small-scales (nanometer to micrometer scale).
Undergraduate students in our laboratory (1) perform electrical experiments on nanoscale devices and thin films, (2) deposit thin films and fabricate devices and test structures, (3) construct numerical models using COMSOL Multi-physics and conduct computational analysis.
Several of our undergraduate students have had their research published in leading conferences and journals.
Apply for a position in the Nanoelectronics Lab here
Research work in storage systems, cybersecurity, reconfigurable computing, and high-performance computing. Students should have C programming experience and familiarity with Linux.
US citizen students to work with my graduate students on combinatorial optimization and machine learning problems related to:
Programming knowledge in Python/Java/C++ a must.
Research opportunities in theoretical and numerical analysis in transmission, distribution, and coordinated transmission & distribution systems. Students should have good skills in codings at Matlab or Python with optimization algorithms (e.g., Gurobi).
Research opportunities in wireless communications and networks with emphasis on implementation on software defined radio (SDR) platforms and performance prediction with machine learning tools.