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University of Michigan - Flint

Mohamed Wiem Mkaouer

I just enjoy working on software engineering projects! My research interests often revolve around topics such as software maintenance and evolution, software quality, refactoring, empirical software engineering, and search-based software engineering. I have contributed to understanding how software systems can be improved over time with minimal disruption and maximum efficiency, utilizing automated techniques to enhance ...

Anne Jonas

My research examines the social structures that help shape the forms and content of data science, and the use of data science in social spheres and its implications. In my ethnographic and participatory-design based work, I have explored: 1) the motivations behind the move to use data science in online fraud detection and the potential ...

Steven Wilson

I study human communication using Natural Language Processing methods with a focus on understanding and incorporating the social context of text data and the people that create it. I am broadly interested in how people sift through and add to the vast body of online content, how they tell stories and make sense of the ...

Yasser Aboelkassem

In this project, we use multi-scale models coupled with machine learning algorithms to study cardiac electromechanic coupling. The approach spans out the molecular, Brownian, and Langevin dynamics of the contractile (sarcomeric proteins) mechanism of cardiac cells and up-to-the finite element analysis of the tissue and organ levels. In this work, a novel surrogate machine learning ...

Amal Alhosban

Amal Alhosban, is an Associate Professor of Computer Science at the University of Michigan Flint campus. She received her Ph.D. in Computer Science at Wayne State University in 2013. Her research focuses on Semantic Web and Fault Management and Wireless Network.

Amy M. Yorke

Amy M. Yorke, PT, PhD, NCS, is Assistant Professor of Physical Therapy at the University of Michigan, Flint.  

Weiqi Li

Dr. Li’s research focuses on new search method to solve the traveling salesman problem (TSP). More specially, this new method uses multi-start local search to construct the solution attractor, search all solutions in the attractor, and then identify the globally optimal solution. He has used this method to tackle classic TSP, multi-objective TSP, dynamic TSP, and ...

Syagnik Banerjee

Sy Banerjee studies the impact of mobile devices on consumer behavior and on the processing of signals emerging from location-based Social Media posts. He teaches a MBA class on digital marketing and Big Data and collaborates with researchers from Business, GIS and Computer Science. Some of his recent works include: Assessing Prime-Time for Geotargeting With ...

Rie Suzuki

Dr. Suzuki is a behavioral scientist and has major research interests in examining and intervening mediational social determinants factors of health behaviors and health outcomes across lifespan. She analyzes the National Health Interview Survey, Medical Expenditure Panel Survey, National Health and Nutrition Examination Survey as well as the Flint regional medical records to understand the ...

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Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Amal Alhosban

Associate Professor, Computer Science, College of Arts and Sciences

Syagnik Banerjee

Professor, Mobile and Interactive Marketing

Anne Jonas

Assistant Professor, Computing

Weiqi Li

Assistant Professor, Management

Vahid Lotfi

Professor emeritus of management science

Mohamed Wiem Mkaouer

Associate Professor of Computer Science, College of Innovation and Technology, The University of Michigan-Flint

Greg Rybarczyk

Associate Professor, Geography, Planning and Environment

Rie Suzuki

Associate Professor, Public Health and Health Sciences