My name is Hamid Mansoor and I completed a doctorate in Computer Science at
Worcester Polytechnic Institute.
My advisor was Prof. Emmanuel Agu and I was a part of the DARPA
funded Warfighter Analytics using Smartphone Health (WASH) project. My research
interests are at the intersection of Data Visualization, Mobile and Ubiquitous Computing and Visual Representations of Text-based Data. I have researched,
designed and implemented several interactive data visualization frameworks that enable analysts to solve various
issues encountered while analyzing mobile and ubiquitously gathered human behavior data.
I am an Assistant Professor in Computer Science at The University of Manitoba . Before this, I was a Postdoctoral Fellow at the VIXI Lab, University of Victoria,
Canada, under the mentorship of Prof. Miguel Nacenta.
My current research focuses on digital and mobile health, with an emphasis on integrating generative AI, particularly large language models, into smartphone and smartwatch applications.
I design and study systems that help people manage chronic conditions (e.g., Parkinson’s disease) and support everyday health and wellness.
***RECRUITMENT***
I am looking for a highly motivated MSc student in Computer Science to start in Winter (Jan) 2027.
The student will work on a recently funded project focused on developing and evaluating an AI-enabled digital health tool for stroke prevention,
with an emphasis on human-computer interaction, user-centered design, and working with First Nation and Métis communities.
The project will involve co-design, prototyping, and evaluation of a mobile stroke risk screening application.
The MSc student will contribute primarily to the computer science and digital health aspects of the project, including the adaptation and validation of the Stroke Risk Screen app.
If you are interested, please reach out to me via email with your latest transcript, resume, and a short 1-2 paragraph description of your research interests.
Please set the subject of your email as: "Prospective MSc Student for Winter 2027", otherwise I will not respond.
The deadline to apply to the University of Manitoba MSc program for Canadian and U.S. applicants is October 1, 2026.
Publications
Refereed
2025
Alan Zhang, Hamid Mansoor. “Visualizing Asthma-related Digital Health Data for Everyday Users.” IEEE International Conference on Big Data (2025)
Hamid Mansoor. “A Scoping Review of Large Language Models in Personal Sleep Wellness.” Mayo Clinic Proceedings: Digital Health (2025)
Krisha Bhalala and Hamid Mansoor. “PARKA AI: A Sensor-Integrated Mobile Application for Parkinson’s Disease Monitoring and Self-Management.” Bioengineering, 12(10), 1059.
Elyan Momin and Hamid Mansoor. “Cardia-AI: Passive Cardiac Event Monitoring Using Smartwatch Sensors and Predictive Analysis via Large Language Models”. Cureus 17(10): e95083.
Adam Binksmith, Hamid Mansoor, Miguel A Nacenta, Alice Toniolo. "Designing Progressive Model Elicitation Tools to Support Complex Cognitive Activities" In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp. 1-8. 2025.
Scott Bateman, Carl Gutwin, Hamid Mansoor, Miguel Nacenta, Michael van der Kamp, Mykyta Baliesnyi, Kolton Gagnon, and Jesse Rollheiser. "WAMS: A Flexible API for Visual Workspaces Across Multiple Surfaces." Proceedings of the ACM on Human-Computer Interaction 7, no. EICS (2023): 1-40.
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu and Elke Rundensteiner "Exploratory Data Analysis of Population Level Smartphone-Sensed Data." Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2021. Communications in Computer and Information Science, vol 1691. Springer, Cham.
2022
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu. "Positive Unlabeled Learning with a Sequential Selection Bias." Proceedings of the 2022 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics.
Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke Rundensteiner, Emmanuel Agu. "Variational Open Set Recognition (VOSR)." IEEE International Conference on Big Data (Big Data), pp. 994-1001, 2021.
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner. "Visual Analytics of Smartphone-Sensed Human Behavior and Health." IEEE Computer Graphics and Applications (CG & A) 41, no. 3 (2021): 96-104.
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner. "PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-The-Wild Data Using Clustering". 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP (3: IVAPP) 2021 (Invited to submit extended version to Springer CCIS for publication in 2022)
