Faculty

Our faculty are not content to trod well-worn engineering paths. Instead, they are driven to pursue innovations in teaching, research that address truly complex challenges, and to pursue worldwide leadership roles in their fields. See Also: Emeritus Faculty Directory.

  • Mohammad Mahmoody

    Associate Professor, Computer Science
    Mohammad Mahmoody headshot

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

  • Deepyaman Maiti

    Assistant Professor, Academic General Faculty Teaching Track, Center for Applied Mathematics
    Deepyaman Maiti Headshot

    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.

  • Madhav Marathe

    Professor, Computer Science Distinguished Professor in Biocomplexity, Biocomplexity Institute Division Director, Network Systems Science and Advanced Computing Division, Biocomplexity Institute
    madhav
    Madhav Marathe is an endowed Distinguished Professor in Biocomplexity, Director of the Network Systems Science and Advanced Computing (NSSAC) Division, Biocomplexity Institute and Initiative, and a tenured Professor of Computer Science at the University of Virginia. Dr. Marathe is a…
    Google Scholar Network Systems Science and Advanced Computing Division, Biocomplexity Institut… NSSAC COVID-19 Pandemic Response Pandemic Research for Preparedness & Resilience (PREPARE) Expeditions - Global Pervasive Computational Epidemiology

  • Jennifer F Marley​

    Associate Professor of Applied Mathematics, Academic General Faculty
    Jennifer Marley headshot photo

    Jennifer Marley teaches applied mathematics. Her research interests include optimal power flow, iIntegration and control of renewable generation sources, integration and control of energy storage devices and power system optimization.

  • Anne McAlister

    Assistant Professor, Academic General Faculty, Teaching Track, First Year Engineering Center
    Anne McAlister Headshot

    My research centers on the intersection of engineering identity, social identity, and social justice for students in higher education.
    Google Scholar

  • Paul "Will" McBurney

    Assistant Professor, Academic General Faculty, Teaching Track, Computer Science
    paul
    Research interests include: CS Education, Software Engineering, Software Maintenance and Evolution Paul "Will" (call him Will) McBurney has been teaching Computer Science courses for over 9 years at 4 different institutions, University of Virginia, University of Pennsylvania…
    Google Scholar ResearchGate

  • Stephen J. McDonnell

    Assistant Professor
    Stephen J. McDonnell

    Stephen McDonnell’s current research interests are centered interfaces relevant to next generation nanoelectronics devices.
    Google Scholar Researchgate

  • Tim McMurry

    Assistant Professor of Biostatistics
    Tim McMurry headshot
    Dr. McMurry is a biostatistician in the Department of Public Health Sciences. He received his Ph.D. in mathematics from the University of California, San Diego. He then taught statistics at DePaul University and worked as a statistical consultant in Chicago for 7 years before moving…
    Google Scholar

  • Yu Meng

    Assistant Professor, Computer Science (Joining January 2024)
    meng
    Research interests include: Machine Learning, Natural Language Processing, Data Mining Yu Meng received his Ph.D. from the Department of Computer Science at University of Illinois Urbana-Champaign in 2023, where he worked with Jiawei Han. He was awarded a Google Ph.D. Fellowship…
    Google Scholar

  • Craig H. Meyer

    Professor, Biomedical Engineering Professor, Radiology and Medical Imaging
    Meyer
    Craig Meyer develops magnetic resonance imaging (MRI) techniques for rapid acquisition and processing of image data in the setting of cardiovascular disease, neural diseases, and pediatrics, using tools in physics, signal processing, image reconstruction, and machine learning.
    Google Scholar ResearchGate Rapid MRI Research Group