Hamid Mansoor

hmansoor@wpi.edu

My name is Hamid Mansoor and I recently completed a doctorate in Computer Science at Worcester Polytechnic Institute.

Research Interests

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 and Mobile and Ubiquitous Computing. 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. My focus is to enable analysts to reason about and explain the various intuitions gathered from such data. I am planning on shifting my focus after my doctoral program to presenting such data to everyday users through visual storytelling for personal health and wellness tracking.
Currently, I am a Postdoctoral Fellow at the VIXI Lab at the Univeristy of Victoria, Canada, under the mentorship of Prof. Miguel Nacenta.

Publications

Refereed

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.

2021

Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu. "GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus." IEEE International Conference on Big Data (Big Data), pp. 4705-4714, 2021.
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.
Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu. "Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces." 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 345-350, 2021.
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner. "ARGUS: Interactive Visual Analysis of Disruptions in Smartphone-Detected Bio-Behavioral Rhythms." Visual Informatics 5.3 (2021): 39-53.
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.
Alajaji, Abdulaziz, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke A. Rundensteiner. "Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts." IEEE Pervasive Computing 20, no. 1 (2021): 50-61.
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)

2020

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner. "INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data". IEEE International Conference on Big Data (Big Data). IEEE, 2020.
Gerych, Walter, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke Rundensteiner, and Emmanuel Agu. "BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias." In IEEE International Conference on Big Data (Big Data), pp. 147-154, 2020.
Hamid Mansoor , Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner. "ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms". EuroVis - Short Papers. The Eurographics Association, 2020. (Best short paper honorable mention award)

2019

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu and Elke Rundensteiner. "DELFI: Mislabelled Human Context Detection Using Multi-Feature Similarity Linking" . 2019 IEEE Visualization in Data Science (VDS) symposium at IEEE VIS, 2019.
Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu and Elke Rundensteiner. "COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics". IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2. IEEE, 2019.
Bonnie Gale, Lauren E. Charles, Hamid Mansoor and Chen-Yeou Yu "PocketAID: The Pocket Atlas of Infectious Diseases Mobile Application". Online Journal of Public Health Informatics 11.1, 2019.

2018

Hamid Mansoor and Lane Harrison. "Data Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads". Cognitive Biases in Visualizations. Springer, Cham 2018

2017

Hamid Mansoor , Kartik Vasu and Lane Harrison. "Linking Performance on Graphical Perception tasks to Visualization Literacy". IEEE VIS Poster Proceedings, 2017.

In submission

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner and Angela Incollingo Rodriguez. "INPHOVIS: Interactive Visual Analytics for Smartphone-Based Digital Phenotyping." Submitted to Elsevier Visual Informatics Journal