Aditeya Pandey
Contact: pandey.ad@northeastern.edu
I am a Ph.D. candidate in Computer Science at Northeastern University. I build visualization tools to support analysis of complex and large datasets. My research has contributed to novel visualization tools in the domain of medical diagnosis and cybersecurity. I am also a visiting PhD Student at Gehlenborg Lab (Harvard Medical School), where I am developing a visualization recommendation system to assist genomics analysts in identifying appropriate visualization techniques.
Projects
GenoREC
GenoREC is a system to recommend genomics visualization. GenoREC uses data and task description from the users and suggests appropriate visualizations. GenoREC consists of two components: a knowledge-based recommendation engine that uses visualization theory to identify appropriate visualization. GenoREC's front-end provides a domain-specific user interface for users to specify their requirements and view the recommendation.
Video | Demo | Code (Model) | Code (Web App)
Tree Visualization Task Survey
We proposed a taxonomy to categorize analytical tasks being used for tree visualization design and evaluation. We also curated a dataset of 200+ analytical tasks from a survey of over 1000+ tree visualization research articles. A website was developed to interactively explore the results of the survey.
Paper | Video | Demo | Code
Segmentrix
The network infrastructure of computer-based business is expanding every day. Consequently, monitoring and cyber-fencing of these massive networks is a growing concern within organizations. In this project, we developed a visualization tool which assists network security analysts to segment their network, write security policies and monitor network.
Paper | Video
CerebroVis
CerebroVis is a visualization tool which assists in diagnosis cerebrovascular abnormalities like stenosis and aneurysms. We developed a novel visualization technique to display the network structure of the cerebral arteries. We found that, CerebroVis improves improves the identification of cerebrovascular abnormalities in the brain over existing 3D MRA visualization.
Paper | Video | Demo | Code
Picture Penguin
Picture Penguin is a novel personal photo navigation system that enables search and filtering through linked and combined views of temporal, geospatial, and photo content information. Picture Penguin scales to large photo collections andreduces complexity through clustering and data summarization techniques, and runs as both a mobile and a desktop application.
Video | Code
Visual Bayesian Fusion to Navigate a Data Lake
We developed a novel system for the analysis of heterogeneous data sources. The platform supports probabilistic joins for combining uncertain datasets and perform joint analysis. Within the platform we integrated a novel interactive visualization to evaluate results from Probabilistic Graphical Models.
Paper | Video
VARC: Interactively Visualizing Summaries of Rules and Exceptions
We developed a visualization tool to interactively visualize the summary of association rules and their exceptions generated from rule-mining algorithms.
Paper
Publications
Journal Article (J), Conference Paper (C), Workshop Paper (W), Poster (P)
A State-of-the-Art Survey of Tasks for Tree Design and Evaluation with a Curated Task Dataset (J)
Aditeya Pandey, Uzma Haque Syeda, Chaitya Shah, John A. Guerra Gomez, Michelle A. Borkin
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Paper | Talk | Supplemental Material
Evaluation of 1D Selection Techniques for Mobile Visualizations (C)
Michail Schwab, Aditeya Pandey, Michelle A. Borkin
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA), 2021
Paper | Talk | Supplemental Material
Towards Identification and Mitigation of Task-Based Challenges in Comparative Visualization Studies (W)
Aditeya Pandey, Uzma Haque Syeda, Michelle A Borkin
IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV), 2020
Paper | Talk | Supplemental Material
Towards a Knowledge-Based Recommendation System for Genomics Visualization (P)
Aditeya Pandey, Sehi Lyi, Nils Gehlenborg
IEEE Vis 2020
Paper
Evaluating the Effect of Timeline Shape on Visualization Task Performance (C)
S. Bartolomeo, Aditeya Pandey, A. Leventidis, D. Saffo, U. H. Syeda, E. Carstensdottir, M. S. El-Nasr, M. A. Borkin, C. Dunne.
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI), 2020
Paper | Talk | Supplemental Material
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization (J)
Aditeya Pandey, Harsh Shukla, Geoffrey S Young, Lei Qin, Amir A Zamani, Liangge Hsu, Raymond Huang, Cody Dunne, Michelle A Borkin
IEEE Vis 2019, IEEE Transactions on Visualization and Computer Graphics (TVCG)
Paper | Talk | Supplemental Material
Segmentrix: A Network Visualization Tool to Develop and Monitor Micro-Segmentation Strategies (P)
Aditeya Pandey, Larry Chan, Raven Gao, Joy Scott, Brian Staats
IEEE Vizsec 2019
Paper
Topology and Constraint-based Network Layout for the Visualization of Cerebrovascular Arteries (P)
Aditeya Pandey, Harsh Shukla, Geoffrey S. Young, Lei Qin, Cody Dunne, Michelle A. Borkin
IEEE Vis 2018
Visual bayesian fusion to navigate a data lake (C)
Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, and Gautam Shroff
9th International Conference on Information Fusion (FUSION), IEEE, 2016
Paper
Multi-sensor visual analytics supported by machine-learning models (W)
Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal
IEEE International Conference on Data Mining Workshop (ICDMW), 2015
Paper
Interactive Visual Analysis of Temporal Text Data (C)
Aditeya Pandey, Kunal Ranjan, Geetika Sharma, Lipika Dey
Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, 2015
Paper
Interactively visualizing summaries of rules and exceptions (W)
Geetika Sharma, Gautam Shroff, Aditeya Pandey, Puneet Agarwal, Ashwin Srinivasan
Proceedings of EuroVA, 2014