Student Projects
Current Research
Asst. Professor Bhaskar Ramasubramanian
My research focus has been in the fields of software-defined secure verification and feedback-driven machine learning to reason about the behavior of autonomous cyber systems. I adopt a multidisciplinary approach that establishes an interplay between fundamental techniques from machine learning, optimization and control, game theory, and formal methods.
(l to r) Jared Hechter, Brandon Chea, Brandon Nakamura, and Jonah Duncan
Assistant Professor Bhaskar Ramasubramanian's summer research students working to understand and develop algorithms to improve behaviors of autonomous vehicles when they share their environments with human drivers. The students have been reading recent research in this domain, and working with the Nocturne driving simulator. They have also been spending part of their time trying to assemble a 1/10-scale RC car and with the goal of deploying reinforcement learning algorithms.
Cognizant Learning for Autonomous Cyber Physical Systems, funded by the National Science Foundation
Senior Capstone Projects
The senior capstone project is completed over a duration of 13-15 months. The projects are centered around real-world engineering design problems and seek to incorporate the hands-on curriculum with a design component.
Current project areas include:
- embedded systems
- artificial intelligence
- integrated circuits
- cyber-physical systems
- alternate energy/smart grid
- next-generation wireless systems
- wearable biomedical systems
Lap Equipment
- Meters
- Mixed Signal Oscilloscope
- Power Supply
- Function Generator
- Solderless Breadboard
- Programmable Timer/Counter
- LabVolt Workstations
- SCARA Robot Arm
- Circuit Board Mill
- Spectrum Analyzer
