Team

Principal Investigator

Dr. Nirmalya Roy

Associate Professor

Nirmalya Roy is currently an Associate Professor in the Information Systems department at University of Maryland Baltimore County. He directs the Mobile, Pervasive and Sensor Computing Group (MPSC). He was a Clinical Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University from January 2012 to June 2013. Prior to that, he worked as a Research Scientist at Institute for Infocomm Research (I2R), Singapore from 2010 to 2011. He was as a postdoctoral fellow in Electrical and Computer Engineering Department at The University of Texas at Austin from 2008 to 2009. He received his Ph.D. and M.S. in Computer Science and Engineering from The University of Texas at Arlington in 2008 and 2004 respectively. He did his Bachelors in Computer Science and Engineering from Jadavpur University, India in 2001.

Research Interests:

      • Pervasive Computing and Middleware (activity recognition, energy efficient remote monitoring, QoI, physiological data modeling)

      • Wireless SensorNetworks (sensor data stream processing, sensor-driven decision making, embedded sensor system)

      • Smart Environments (sensor-driven smart healthcare and rehabilitation, a fine-grained building energy monitoring and control)

Ph.D. Students

PhD Candidate (Spring 2017 – Present)

Research Interests:

  • Signal and Image Processing

  • Multi-Inhabitant Activity Recognition

  • Machine Learning

PhD Candidate (Spring 2017 – Present)

Research Interests:

  • Data Mining

  • Social Media Analytics

  • Machine Learning

David Welsh

PhD Student (Fall 2017 – Present)

Research Interests:

  • Mobile gunshot detection

  • Bio-metrics for firearm training

  • Embedded firearm sensors

  • Firearm behavior recognition

PhD Student (Spring 2018 – Present)

Research Interests:

  • Sensor Data Mining

  • Machine Learning

  • Image Processing

  • Natural Language Processing

Ph.D. Student (Fall 2018 – Present)

Research Interests:

  • Multi-source Domain Adaptation

  • Human Activity Recognition

  • Acoustic Data Analysis and Application

Emon Dey

PhD Student (Fall 2019 - Present)

Research Interests:

  • Wearable Computing

  • Signal Processing

  • Machine Learning Applications

  • Cyber Physical Systems

PhD Student (Spring 2020 – Present)

Research Interests:

  • Deep Learning

  • Reinforcement Learning

  • Machine Learning Theory, and Application

Ph.D. Student (Spring 2020 – Present)

Research Interests:

  • Sensor-based human activity recognition

  • Computer vision

  • Deep learning

Ph.D. Student (Fall 2020 - Present)

Research Interests:

  • Micro Activity Recognition

  • Machine Learning

  • Deep Learning

Ph.D. Student (Fall 2021 - Present)

Research Interests:

  • Autonomous Driving/Systems

  • Reinforcement Learning

  • Robotics

Ph.D. Student (Spring 2022 - Present)

Research Interests:

  • Smart Health

  • Robotics

  • Applied Machine Learning

Ph.D. Student (Spring 2022 - Present)

Research Interests:

  • Machine Learning

  • Deep Learning

  • Smart Health

Ph.D. Student (Fall 2021 - Present)

Research Interests:

  • Machine Learning

  • Robotics

  • Graph Algorithms

  • Geometric Deep Learning

  • Graph-based Machine Learning

Graduated Ph.D. Students

Dr. Abu Zaher Md Faridee
Research Scientist, Amazon

(Spring 2018 – Summer 2022)

  • Thesis: Building Robust Human Activity Recognition from Unlabeled Data

  • LinkedIn:

Dr. Bipendra Basnyat
P. E., Deloitte

(Fall 2017 – Spring 2022)

  • Thesis: Vision and AI Enabled Flood Detection Systems in Urban Environment

  • LinkedIn:

Dr. Nilavra Pathak
Senior ML Scientist, Expedia

( Fall 2013 - Spring 2019)


  • [Thesis: Analysis of Energy Disaggregation for Sustainable Building Applications [PDF][PPT]

  • LinkedIn"

Dr. MD Abdullah Al Hafiz Khan
Assistant Professor, Kennesaw State University

( Spring 2014- Fall 2018)

  • Thesis: Cross-Domain Scalable Activity Recognition Models in Smart Environments [PDF][PPT]

  • LinkedIn:

Dr. H M Sajjad Hossain
Data Scientist II, Microsoft

(Spring 2014 – Spring Fall 2019)

  • Thesis: Active Activity Recognition with Context-Aware Annotator Selection] [PDF][PPT]

  • LinkedIn:

Dr. Mohammad Arif Ul Alam
Assistant Professor, U Mass Lowell

( Spring 2014- Fall 2017)


  • Thesis: Context-Aware Multi-Inhabitant Functional and Physiological Health Assessment in Smart Home Environment [PDF]

  • LinkedIn:

Former Masters and Undergraduate Students

  • Vishak Iyer [Thesis: Human Activity Recognition using Bluetooth Signals] [Spring 2017] [PDF]

  • Sarthak Pathak, Software Developer, Stone Harbor Investments Partners, New York [Thesis: A Holistic Cyber-Physical System to Detect Anomalies in Smart Home Appliances] [Spring 2017] [PDF]

  • Bipendra Basnyat, P.E., Ph.D. Student, UMBC [Thesis: Feasibility Study of Design & Development of Cyber-Physical Device for Real-Time Detection of Flash Floods in the Smart City] [Spring 2017] [PDF]

  • Fatimah Alqurmti [Thesis: Detecting Makeup Activities Using Internet-of-Things] [Summer 2019] [PDF]

  • Joseph Taylor [Undergraduate Student]

  • Indrajeet Ghosh [Summer 2020] [Thesis: Deepminton: To analyzing stance and strokes to rank badminton players]