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Ramprasad Balasubramanian
Ramprasad Balasubramanian

Provost / Vice Chancellor for Academic Affairs

Academic Affairs / Provost
Foster Administration 315

508-999-8069
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Biography

Dr. Balasubramanian joined the Department of Computer and Information Science as an Assistant Professor in January of 2000 and was promoted to Associate Professor with tenure in 2006 and to the rank of Professor in 2013. He has served in a variety of leadership roles, since 2013, in the College of Engineering and the Office of the Provost before becoming the Vice Chancellor for Research and Innovation. 

His research interests include Artificial Intelligence and Mobile Robotics, Computer Vision, Decision Support Systems, and Computing Education. His current focus of research in mobile robotics is in the area of Multi-vehicle autonomy, SLAM, and navigation-related issues of Autonomous Underwater Vehicles. Specifically, he has focused on multi-vehicle coordination on long-term undersea missions, strategies for consensus in communication-constrained environments, and autonomy. His work in decision support systems has involved integrating real-time data from Internet-of-things (IoT) sensors to measure subsurface temperature and moisture for the imposition of Seasonal Load Restriction in cold-weather regions. His research has been supported by Seaport Economic Council, US Department of Transportation, National Science Foundation, and the Office of Naval Research in excess of $5 million. In 2019 he established the Marine and UnderSea Technology (MUST) Research Program to support the development of cutting-edge research of naval relevance and the development of a highly-skilled workforce in the marine technology areas. Working with NUWC and the government relations offices, he secured nearly $19M through the Office of Naval Research to support MUST.

Ming Shao
Ming Shao

Assistant Director of the Marine & UnderSea Technology Research Program (MUST)

Computer & Information Science
Dion 303A

508-910-6893
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Ming Shao received BE degree in Computer Science, BS degree in Applied Mathematics, and ME degree in Computer Science from Beihang University, Beijing, China, in 2006, 2007, and 2010, respectively. He received PhD degree in Computer Engineering from Northeastern University, Boston, MA, in 2016. He is currently an Associate Professor affiliated with the College of Engineering at the University of Massachusetts Dartmouth. His current research interests include predictive modeling, adversarial machine learning, continual and incremental machine learning, robust and multi-view representation learning, and health informatics. He published over 90 articles in prestigious journals and conference proceedings. Since joining UMass Dartmouth, Dr. Shao has secured funding from several sources for $3.17M. He received the NSF CAREER Award in 2022 and was the recipient of the Presidential Fellowship of State University of New York at Buffalo from 2010 to 2012, and the best paper award winner of IEEE ICDM 2011 Workshop on Large Scale Visual Analytics, and best paper award candidate of ICME 2014. He was the reviewer for many IEEE Transactions journals, including TPAMI, TKDE, TNNLS, TIP, and TMM. He also served on the (senior) program committee for top-tier conferences such as AAAI, IJCAI, CVPR, ICCV, NeurIPS, ICML, ICLR, KDD, ICDM, CIKM, ACM-MM, etc. He is the Associate Editor of IEEE Transactions on Image Processing, IEEE Computational Intelligence Magazine, and SPIE Journal of Electronic Imaging. He is a member of IEEE.

Ming Shao
Ming Shao

Associate Professor

Computer & Information Science
Dion 303A

508-910-6893
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Ming Shao received BE degree in Computer Science, BS degree in Applied Mathematics, and ME degree in Computer Science from Beihang University, Beijing, China, in 2006, 2007, and 2010, respectively. He received PhD degree in Computer Engineering from Northeastern University, Boston, MA, in 2016. He is currently an Associate Professor affiliated with the College of Engineering at the University of Massachusetts Dartmouth. His current research interests include predictive modeling, adversarial machine learning, continual and incremental machine learning, robust and multi-view representation learning, and health informatics. He published over 90 articles in prestigious journals and conference proceedings. Since joining UMass Dartmouth, Dr. Shao has secured funding from several sources for $3.17M. He received the NSF CAREER Award in 2022 and was the recipient of the Presidential Fellowship of State University of New York at Buffalo from 2010 to 2012, and the best paper award winner of IEEE ICDM 2011 Workshop on Large Scale Visual Analytics, and best paper award candidate of ICME 2014. He was the reviewer for many IEEE Transactions journals, including TPAMI, TKDE, TNNLS, TIP, and TMM. He also served on the (senior) program committee for top-tier conferences such as AAAI, IJCAI, CVPR, ICCV, NeurIPS, ICML, ICLR, KDD, ICDM, CIKM, ACM-MM, etc. He is the Associate Editor of IEEE Transactions on Image Processing, IEEE Computational Intelligence Magazine, and SPIE Journal of Electronic Imaging. He is a member of IEEE.

Megan Hennessey-Greene
Megan Hennessey-Greene

Assistant Vice Chancellor

Office of Research & Innovation
Foster Administration 008C

508-910-6958
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Rebecca Harrison
Rebecca Harrison

Senior Post Award Grants Manager

Office of Research Administration
Foster Administration 007

508-999-8097
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Zeina Madeiros
Zeina Madeiros

Senior Administrative Assistant

Research Support
Foster Administration 008

508-999-8805
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