Mihai Cimpuieru

Contact Info:

Email- mcimpi@umich.edu 

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Research Areas:

Mihai Cimpuieru performs research in structural dynamics with a focus on turbomachinery. Currently, he is working on physics-informed neural network techniques to predict blade vibration responses in blisks. He has worked on mistuning ID methods for turbomachinery blisks, on the development of an impact-enhanced resonant vibration absorber for as-manufactured blisks, and on computationally modeling impacts for tuned vibration absorber applications. He obtained his Mechanical Engineering degree with a certificate in Aerospace Engineering from Duke University

James Baxter

Contact Info:

Email- jrbaxter@umich.edu 

LinkedIn  

Research Areas:

James's research areas are estimation, planning, and control for autonomous mobile robotics, and he is specifically focused on developing methods for off-road autonomous vehicles to learn from failure and adapt to new information as they traverse harsh terrain not fully known beforehand.

Eugene Kochergin

Contact Info:

Email- eugenk@umich.edu 

Research Areas:

Dynamics and controls. Trajectory planning for off-road autonomous vehicles.

Anirudh Kanchi 

Contact Info:

Email- akanchi@umich.edu 

Research Areas:

Co-Design of Vehicles and Multi-Agent Autonomy Behaviour.  

Max Nyffenegger 

Contact Info:

Email- maxny@umich.edu

Linkedin 

Research Areas:

My research is at the intersection of electrochemical and mechanical dynamics. We are looking into lithium-ion battery interactions with mechanical vibrations. The goal is to demonstrate improved battery charging technology. 

Ali Ghadami 

Contact Info:

Email- aligha@umich.edu 

Research Areas:

My research is on deep learning and multi-agent systems. I am interested in task planning and coordination efficiently with a large group of autonomous agents. 

Soham Purohit

Contact Info:

Email- sohamsp@umich.edu 

Research Areas:

Robotics

Donghee Lee

Contact Info:

Email- dongheel@umich.edu

Research Areas:

My research focuses on designing a human-robot co-learning framework that enables adaptive collaboration between humans and teams of autonomous agents. The approach integrates deep reinforcement learning and human-robot interaction methods to enhance coordination and shared decision-making in multi-agent environments.

Jaewon Lee

Contact Info:

Email- risiowon@umich.edu 

Research Areas:

Jaewon’s research centers on algorithmic approaches for autonomy testing and verification, with a particular emphasis on identifying vulnerabilities in multi-agent systems that demonstrate coordinated team behaviors. His work advances methodologies for the automatic generation of adversarial scenarios in unstructured environments, providing a rigorous framework for evaluating the robustness and reliability of autonomous systems under challenging conditions.

Michael Reynolds

Contact Info:

Email- mwreynol@umich.edu 

Research Areas:

My research examines networks of nonlinear systems and how complex behaviors emerge from their interactions. I develop methods to predict, mitigate, and guide these behaviors to improve control and resilience in large-scale dynamical systems.  

Alexander D. Kripfgans

Contact Info:

Email- kripfgan@umich.edu

Research Areas: Modeling nonlinear contacts using computational and experimental data; computational analysis of tuned vibration absorbers with impact and friction contacts