Students

• M.S. Student, Electrical and Computer Engineering

• Senior Associate Consultant, Bain & Company

machine learning Machine learning applications for wireless communication systems

• Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering

High Performance Low Power Circuits Mixed-Mode ASIC Design Analog circuit design low power digital circuit ROIC ASIC Interface Circuit sensors ADC semiconductor IC Design

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

• M.S. Student, Electrical and Computer Engineering

Robotics and Control Multi-robot Systems drones autopilot

• Ph.D. Student, Electrical and Computer Engineering

artificial intelligence edge computing FPGA Computer Vision

• Ph.D. Student, Statistics

• Intern (former), Image and Video Understanding Lab

Computer Vision Advanced Perception multimodal AI deep learning

• M.S. Student, Computer Science

Computer Vision machine learning Deep generative models

• M.S. Student, Applied Mathematics and Computational Science

• M.S. Student, Secure Next Generation Resilient Systems Lab

• Ph.D. Student, Bioengineering

pharmaceutical innovation drug development

• Ph.D. Student, Computer Science

• M.S. Student, Computer Science

Scientific Visualization computer graphics machine learning

• Ph.D. Student, Electrical and Computer Engineering

microfabrication

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

optimization machine learning algorithms

• Ph.D. Student, Mechanical Engineering

Underwater Vehicles Towed Vehicles ROV

• M.S. Student, Electrical and Computer Engineering

• Ph.D. Student, Electrical and Computer Engineering

Terahertz communications machine learning

• Ph.D. Student, Electrical and Computer Engineering

compliant electronics Implantable devices

• M.S. Student, Electrical and Computer Engineering

• Ph.D. Student, Statistics

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

differential geometry discrete differential geometry applied geometry functional programming

• Ph.D. Student, Electrical and Computer Engineering

Unit commitment, Renewable integration, Quantum computing for power systems, Stochastic AC Optimal Power Flow, Grid-forming & grid-following inverters, HVDC design, Machine learning for power systems