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I am a PhD candidate in the Department of Computer Science at the University of Virginia (UVa) working under the supervision of Professor John Stankovic. I develop data-driven, knowledge-integrated information extraction and fusion systems to provide personalized decision support for safety-critical, resource-constrained cyber-physical systems (CPS). Specifically, my research focuses on inferring the context and semantics of textual and time-series data generated from human-in-the-loop systems (e.g., pervasive intelligent assistants, health and wellness apps, health monitoring and activity tracking systems) using novel natural language processing, knowledge extraction and time-series analysis. Then the contextual and semantic information is combined with domain knowledge to increase safety and effectiveness of the corresponding application through personalized decision support.

My research projects include identifying and categorizing potentially unsafe health interventions from pervasive health and wellness applications, predictive modeling and anomaly detection of regular human behavior for remote health monitoring, developing wearable cognitive assistant to provide dynamic, data-driven, and real-time decision support to emergency responders. While most of my research projects are motivated from the domains of smart and connected health and smart city, the underlying technologies can be adapted for other human-centric, low-resource, and safety-critical CPS applications as well.

I have completed my Master’s in Computer Science at UVa in 2015. Prior to coming to UVa, I served as a lecturer in the Department of Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology (BUET) where I taught a number of theory and lab courses. I received my Bachelor’s degree from the Department of CSE, BUET in 2013 and graduated summa cum laude.

News

  • February, 2020: Pesented two papers on our cognitive assistant for emergency responders at AAAI 2020.
  • November, 2019: Our paper titled “EMScontext: EMS protocol-driven concept extraction for cognitive assistance in emergency response” has been accepted at IAAI 2020.
  • November, 2019: Our paper titled “GRACE: Generating Summary Reports Automatically for Cognitive Assistance in emergency response” has been accepted at IAAI 2020.
  • July, 2019: Attended the 2019 Public Safety Broadband Stakeholder Meeting. Check out our talk Towards Cognitive Assistant Systems for Emergency Response.
  • June, 2019: Our paper titled “A Behavior Tree Cognitive Assistant System for Emergency Medical Services” is accepted at IROS 2019.
  • June, 2019: Our survey paper titled “Data Sets, Modeling and Decision Making in Smart Cities: A Survey” is accepted at ACM Transactions on Cyber-Physical Systems(ACM TCPS)
  • April, 2019: Selected to attend the UVa Engineering Graduate Student Biotech Career Trek, 2019!
  • May, 2018: Joined Bosch Research and Technology Center as A.I. Research Intern!
  • April 2018: Attended and presented our paper and poster at CPS week 2018

Selected Awards

  • NSF award to attend and present research at 2017 Smart and Connected Health PI meeting (1 of 10 graduate students who were selected from the USA)
  • Finalist, University of Virginia Engineering Research Symposium (UVERS), 2017
  • Commonwealth Fellowship, Department of Computer Science, UVa, 2013-2014
  • Best Undergraduate Thesis Award, Department of Computer Science & Engineering, Bangladesh University of Engineering & Technology, 2013
  • Full funded PhD Scholarship and Dean’s Fellowship, Department of Computer Science, University of Maryland, College Park (not availed), 2013
  • Led the Champion team, Nation wide Software Project Contest, Organized by Bangladesh University of Engineering & Technology, 2011
  • University Merit Scholarship for academic excellence during all semesters of B.Sc. studies at Bangladesh University of Engineering & Technology, 2009-2013
  • Dean’s List Award for academic excellence during each year of B.Sc. studies at Bangladesh University of Engineering & Technology, 2009-2013

Selected Travel Grants

  • NSF travel grant to present paper at PerCom 2017
  • SIGIR Conference travel grant to present paper at CIKM 2015
  • 2014 Big Data Travel Award, Data Science Institute, University of Virginia
  • Google student conference grant to present paper at ICDE 2013
  • Scholarship to attend Grace Hopper Celebration (GHC) 2014
  • CRA travel grants to attend Grad Cohort Workshops in 2014 and 2016