Varun Mandalapu

Varun.png

Varun Mandalapu is a Ph.D. Candidate at the University of Maryland Baltimore County in the Department of Information Systems with a specialization in Data Science & Artificial Intelligence. Varun works as a research assistant under Dr. Jiaqi Gong at Sensor Accelerated Intelligent Learning (SAIL) Lab and co-advised by Dr. Karen Chen. Before enrolling in Ph.D. degree, Varun completed his master’s degree in Management Information Systems at the University of Illinois Springfield and a master’s degree in Sensor Systems Technology from Vellore Institute of Technology, Vellore, India. Varun is also an affiliate member of IEEE EMBS technical committee on Wearable Biomedical Sensors and Systems.

 

His current research focuses on applications of Artificial Intelligence in Education and Healthcare domains.

Research Interest

  • Wearable Technology

  • Explainable Artificial Intelligence (XAI)

  • Machine Learning

  • Affective Computing

  • Health Care

  • Educational & Learning Technology

Latest News

  • Paper Accepted in 43rd IEEE Engineering in Medicine & Biology Society Conference.

  • Paper Accepted in Educational Data Mining (EDM) Conference 2021 (22% acceptance rate).

  • Paper Accepted to AAAI 2021 Workshop on AI Education.

  • Started Spring 2021 Data Scientist Co-op at Bayer Crop Science.

  • LBW paper accepted in ICMI 2020.

  • Accepted Internship at Edison Software Inc. Will work as a part of their Data Science Research team and build statistical models to infer behavioral datasets. (June 2020)

  • Successfully defended PhD Proposal and admitted to candidacy. (May, 2020)

  • Paper accepted in Artificial Intelligence in Education (AIED) 2020. (April 2020)

  • Paper accepted in Appetite Journal. (April, 2020).

UMBC Logo_edited.png