Shai Revzen
Applications:
Earth Science and Ecology, Engineering
Methodologies:
Mathematical and Statistical Modeling
Relevant Projects:

ARO MURI W911NF-17-1-0306 “From Data-Driven Operator Theoretic Schemes to Prediction, Inference, and Control of Systems” NSF CMMI 1825918 “Geometrically-Optimal Gait Optimization” NSF CPS 2038432 “Constraint Aware Planning and Control for Cyber-Physical Systems” D. Dan and Betty Kahn Michigan-Israel Partnership for Research and Education Autonomous Systems Mega-Project (Sub-award from UCSC) AOFSR FA9550-20-1-0238 “Verification and Validation of Autonomous Systems with Hybrid Dynamics under Uncertainty”


Shai Revzen

Associate Professor

Electrical Engineering and Computer Science

Associate Professor of Electrical Engineering and Computer Science, College of Engineering and Associate Professor of Ecology and Evolutionary Biology, College of Literature, Science, and the Arts

“Professor Revzen and his team at the Biologically Inspired Robotics and Dynamical Systems (BIRDS) Lab are working on discovering, modeling, and reproducing the strategies animals use when interacting with physical objects. This work consists of collaboration with biomechanists to analyze experimental data, developing new mathematical tools for modeling and estimation of model parameters, and construction of robots which employ the new principles.”