Students

• Ph.D. Student, Electrical and Computer Engineering

High Performance Low Power Circuits noise-shaping differential SAR capacitance-digital converter neuromorphic computing Hardware acceleration Efficient AI edge computing low-latency architecture

• Ph.D. Student, Statistics

• Ph.D. Student, Electrical and Computer Engineering

development

• Ph.D. Student, Computer Science

reverse engineering machine learning

• Ph.D. Student, Computer Science

machine learning privacy

• Ph.D. Student, Applied Mathematics and Computational Science

applied mathematics numerical analysis

• Ph.D. Student, Applied Mathematics and Computational Science

computational fluid dynamics aeroacoustics aerodynamics

• M.S. Student, Electrical and Computer Engineering

Computer Systems Security Mobile robotics drones Cyber Resilience

• Ph.D. Student, Computer Science

simulation PDE Acoustics

• Ph.D. Student, Networking Research Lab

smart health multimodal model

• M.S. Student, Computer, Electrical and Mathematical Sciences and Engineering

smart grids renewable energy energy efficiency

• Ph.D. Student, Computer Science

reconfigurable computing

• Ph.D. Student, Statistics

Applied Machine Learning Deep learning Deep Reinforcement Learning Functional Time Series

• Ph.D. Student, Electrical and Computer Engineering

Gas Sensors fractional order capacitors memristors nano fabrication and characterization

• Ph.D. Student, Bioengineering

• Ph.D. Student, Bioengineering

biomedical devices multimodal sensing microfabrication nanomaterials Laser-scribed graphene Point of Care devices

• M.S. Student, Photonics Laboratory

Photonics and optoelectronics quantum computing. quantum photonics

• Ph.D. Student, Applied Mathematics and Computational Science

Monte carlo methods Bayesian computational statistics

• Ph.D. Student, Electrical and Computer Engineering

computational electromagnetics computational physics

• M.S. Student, Electrical and Computer Engineering

nanotechnology

• M.S. Student, Electrical and Computer Engineering

• M.S. Student, Computer Science

• Ph.D. Student, Electrical and Computer Engineering

Control Theory intelligent systems automation Reinforcement Learning

• Senior Consultant, Oliver Wyman

Digital signal processing CMOS integrated circuits