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Team

Maria Gini

Supervisor

Work includes decision making for autonomous agents in many application domains, ranging from swarm robotics to distributed methods for allocation of tasks, methods for robots to explore unknown environments, navigation in dense crowds, and conversational agents.

Google Scholar    Personal Website

Nabil

Nabil Khan 

PhD Candidate - Computer Science

Nabil is a PhD candidate whose research is focused on multi-agent path planning.

Linkedin

Angel

Angel Sylvester

PhD Candidate - Computer Science

Angel is 5th year PhD candidate in AI/Robotics. Her work is focused in exploring ways to create nature-informed online adaptive controllers for coordination relevant scenarios in multi-robot systems.

Personal Site   Linkedin

Naome

Naome Etori

PhD Candidate - Computer Science

Naome is a fourth year PhD student whose research interests include low-resource Natural Language Processing.

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Sarah

Sarah Boelter

PhD Student - Computer Science

Sarah is a third year PhD student whose research interests include the intersection of artificial intelligence and robotics in aviation and space. Sarah is currently working on robotic autonomy in high-risk planetary environments. Before graduate school, she worked for four years as a software engineer in the aviation industry. Sarah is on the University of Minnesota Nordic Ski Team, and has a cat named Squeak.

Ebasa

Ebasa Temesgen

PhD Student - Computer Science

Ebasa is a third-year PhD Student in Computer Science with an undergraduate degree in Electrical Engineering. His research interests include Multi-Agent Systems, Robotics, and Federated Learning.

Google Scholar   Linkedin   Personal Site  

simanta

Simanta Barman

PhD Candidate - Computer Science

Simanta's research focuses on multi-agent path finding, transportation network modeling, and the theoretical properties of related algorithms. He is very interested in combinatorial optimization, graph theory, game theory, and reinforcement learning. Outside of his research, he really enjoys playing video games, particularly titles from FromSoftware and Naughty Dog. He also loves rock climbing, extreme metal concerts, drumming and hanging out with friends.

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Cory

Cory Koster

PhD Candidate - Computer Science

 

Linkedin

 

 

Risako

 

Risako Owan

PhD Candidate - Computer Science

Research Area: NLP

Linkedin

gear

 

London Lowmanstone

PhD Candidate - Computer Science

Research Area: NLP

Website

mario

Mario Jerez (They/Them)

PhD Student - Computer Science

Mario is a PhD student in Computer Science. Their research interests are in Machine Learning and Multi-Agent systems. Before coming to UMN, they worked as a software consultant and software developer for an Enterprise Architecture company, and later for a government tax company in Puerto Rico.

Linkedin Scholar Github 

 

Lalit

Lalitaditya Divakarla

PhD Student - Computer Science

Autonomous Vehicles, C-V2x Systems, Multi Agent Coordination

Google Scholar   Linkedin   GitHub  

gear

Libby Ferland

PhD Candidate - Computer Science

Research Area: NLP

melody

Melody Washington

PhD Student - Computer Science

Research Area: Human-Computer Interaction (HCI)

Her research focuses on Human-Computer Interaction (HCI), with an interest in social media, online communities, and how technology impacts mental health and well-being.

Wen

Wen Xing

PhD Student - Computer Science

Research Area: Optimization and reinforcement learning for multi-agent and robotic systems, focusing on coordination and learning in complex environments.

Wen Xing is a Ph.D. student in Computer Science at the University of Minnesota, advised by Prof. Maria Gini. Her research interests include optimization and reinforcement learning for multi-agent and robotic systems, with a focus on coordination and learning in complex environments. She is also interested in exploring the intersection between optimization theory and learning-based control.

 

Alumni

 

 

 

gear

Reese Kneeland

PhD Candidate - Computer Science