Faculty

Dr. Loth has given invited talks at Cambridge, Penn, Princeton, Oxford, Harvard, and MIT.  In 2017, his project team was invited to US Congress to discuss their new the $3.7M project on extreme-scale morphing wind turbines.

Chang Lou is a tenure-track assistant professor in Department of Computer Science at University of Virginia. His research interests are distributed systems, operating systems, and cloud computing. His work centers on improving system reliability and availability. 

Garrick Louis is Associate Professor of Systems and Information Engineering and Engineering and Society at the University of Virginia. He is director of the Small Infrastructure and Development Center and director of Diversity, Equity, and Inclusion in the Department of Systems and Information Engineering.

Ji Ma's research explores using additive manufacturing to create materials with novel properties and incorporating these materials in designed geometry to produce functionally unique parts, focusing on the additive manufacturing of metallic alloys and control of solidification, porosity, residual stress, and micro-to-nano-scale microstructure.

Hui Ma received her Ph.D. in Applied Mathematics from the University of Alabama at Birmingham in 2012. Before joining UVA, she was an assistant professor at Black Hills State University for two years. At UVA, she teaches applied math courses to engineering students. Her goal in teaching is to make mathematics a joyful and successful experience.

4D Diagnostics & Thermal-Fluids​
Development of novel diagnostics with 4D spatiotemporal resolution to study combustion, propulsion and fluid dynamics

Asif Mahmood received his Ph.D. in Mathematics from the University at Buffalo in 2012. Before coming to UVA, he worked as a Visiting Assistant Professor of Mathematics at Ohio University, as an Assistant Professor of Mathematics at Pennsylvania State University, and as Assistant Professor of Mathematics at the University of Nevada, Las Vegas.

Mohammad Mahmoody's research interests include cryptography, adversarial learning, computational complexity.

Deep Maiti instructs Applied Mathematics courses and our cornerstone first year Engineering Foundations course sequence. He also serves as a first year academic advisor, working closely with the Dean’s Office. His current research interests are in the field of using statistical tools in educational research.