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AIS Mentor Candidate

Kira Barton

The focus of the Barton Research Group lies at the intersection of smart manufacturing, robotics, and intelligent controls. Research in my group focuses on the development of cooperative and learning-based methods to harness information from complex systems to improve understanding and enhance the performance of these systems. Our research combines data-based learning with fundamental physics ...

Xinyu Wang

My areas of expertise include programming languages, formal methods, software engineering, artificial intelligence, including their applications in data systems and data science. For example, how to derive insights from large amount of data for decision making; how to automatically synthesize SQL queries from high-level specifications (such as examples, natural language, etc.); how to formally verify ...

Mosharaf Chowdhury

I am a computer scientist and an associate professor at CSE Michigan, where I lead the SymbioticLab (https://symbioticlab.org/). My research improves application performance and system efficiency of AI/ML and Big Data workloads with a recent focus on optimizing energy consumption and data privacy. I lead the ML Energy initiative (https://ml.energy/), a consortium of researchers focusing ...

Alexander Rodríguez

Alex’s research interests include machine learning, time series, multi-agent systems, uncertainty quantification, and scientific modeling. His recent focus is on developing trustworthy AI systems that can offer insightful guidance for critical decisions, especially in applications involving complex spatiotemporal dynamics. His work is primarily motivated by real-world problems in public health, environmental health and community resilience.

Venkat Viswanathan

Research on computational modeling of energy materials design and optimization 1) I led this large research project on developing machine-learning guided materials discovery demonstrating speed-up of over 80% over traditional methods. 2) My research group runs a popular Scientific Machine Learning webinar series: https://micde.umich.edu/news-events/sciml-webinar-series/

Rebecca Lindsey

Research in the Lindsey Lab focuses on using simulation to enable on-demand design, discovery, and synthesis of bespoke materials. These efforts are made possible by Dr. Lindsey’s ChIMES framework, which comprises a unique physics-informed machine-learned (ML) interatomic potential (IAP) and artificial intelligence-automated development tool that enables “quantum accurate” simulation of complex systems on scales overlapping ...

Mohammed Ombadi

My research focuses on understanding and quantifying climate change impacts on hydroclimatic extremes. From heavy storms and floods to extreme heatwaves and droughts, I study the changing characteristics of these events and their impacts on our daily lives. I use a wide range of data-driven methods such as causal inference, information theory, nonlinear dynamics and ...

Bing Ye

The focus of our research is to address (1) how neuronal development contributes to the assembly and function of the nervous system, and (2) how defects in this process lead to brain disorders. We take a multidisciplinary approach that include genetics, cell biology, developmental biology, biochemistry, advanced imaging (for neuronal structures and activity), electrophysiology, computation ...
Photo of Max Li

Max Li

Max’s research interests lies in the design, management, and optimization of large-scale infrastructure systems, focusing on the air transportation system and emerging aerial mobility systems. He is interested in the application of methods applicable to networked systems, especially with resource constraints (e.g., airspace and airport capacity), diverse stakeholders (e.g., passenger-centric, airline-centric), and complex dynamics (e.g., ...