Publications Covail Lab Students Teaching Projects

Dr. Ryan Robucci

Research Interests

Dr. Robucci’s research interests include analog and mixed-signal VLSI; Cyber-physical human-computer systems;Hardware Security; CMOS image sensors; programmable and reconfigurable circuits; sensor interfacing and networking; image processing; embedded, real-time, mixed-mode signal processing; biologically-inspired systems; information theory; and computer-aided design and analysis of complex mixed-signal processing systems. Research emphasizes learning through hardware implementation and experimentation including building FPGA-, microcontroller-, and ASIC-driven embedded systems.

Dr. Robucci’s research in security relates to hardware implementation. In one effort, his group is looking at experimentally analyzing and estimating information leakage in integrated circuits and FPGAs and how physical design choices can affect the vulnerability of a circuit. He is also investigating physically built-in protection against side-channel information leakage and unauthorized access. Recent exploration also includes protecting information in low-power mixed-mode (analog & digital) circuits as required for embedded sensor applications. Topics of interest include protection against side-channel attacks, Trojan circuits, and the use of physically-unclonable functions (PUFs).

Students (bios)

Alexander Nelson (Received Ph.D., Assistant Professor https://aesir.uark.edu/ )
Stan Bobovych (Ph.D. Candidate)
Zheng Li (Ph.D. Candidate) homepage
Gurashish Sing (M.S. Thesis Graduated, last heard from at Intel)
Jianxiong Li (M.S Project)
Ruthvik Kukkapalli (M.S. Thesis)
John Zhu (M.S. Project on lightwieght remote attestation) Aakash Shah (M.S. Project in Embedded Systems and Hardware Security)

Selected Projects

* Non-invasive low-power wearable health monitoring devices
* Wearable and Ubiquitous Gesture Based Human-Computer Interaction based on capacitive sensing and micro-radars (assitive device technology)
* Sensors for Behavioral Monitoring, Activity Recognition, and Environmental Monitoring
*Use and study of side channels for information security and authenticating hardware activity
*Android and Embedded Hardware Device Security
*Use of programmable analog and programmable field-programmable analog arrays (FPAAs) for wearable systems
*Human-machine learning enabling real-time computer vision (assitive device technology)
*Integrated Sensing and Processing for ultra-low-power data capture

Publications

Selected Publications from Members of the Lab: