Aritra Dasgupta

Aritra Dasgupta

Associate Professor, Department of Data Science

Director, M.S. Data Science Program

New Jersey Institute of Technology (NJIT)

I am one of the founding faculty members of the Department of Data Science at NJIT and I direct the M.S. Data Science program.

My research interests lie at the intersection of information visualization and human-centered data science. I use visualization as a communication medium between data-driven computational models and human reasoning about information.

I direct NJIT's Intelligible Information Visualization Lab (NiiV), where we pursue intelligibility as the foundational principle for making information more accessible, meaningful, and actionable to experts (e.g., doctors, climate scientists) and non-experts alike.

Visit NiiV Lab →

Before joining NJIT, I spent 3+ productive years at the Pacific Northwest National Laboratory (PNNL) from 2015 to 2018 as a Senior Research Scientist.
The inherently multidisciplinary, collaborative, and research-intensive environment at PNNL, made possible by some amazingly gifted scientific minds transcending domain boundaries, shaped my approach to research and mentorship here at NJIT and helped me embark on a fulfulling journey towards tenure.

 

Grant Funding

June 2025 - Aug 2028Active Co-PI
NJIT CRISP Grant | $260K out of $1.2M
Community-Data, Equity and AI Lab
Collaborators: Prof. Neil Maher, Prof. Alison Lefkowitz, Prof. Alisha Pradhan (NJIT), & Newark Water Coalition
Sep 2023 - Aug 2027Active PI
National Science Foundation (Future of Work) | $460K
Collaborators: Prof. Julia Stoyanovich (NYU), Prof. Fred Oswald (Rice), & Prof. Ann Marie Ryan (Michigan State)
Sep 2023 - Aug 2027Active PI
National Science Foundation (Core Program, III) | $400K
Collaborators: Prof. Julia Stoyanovich (NYU) & Prof. H.V. Jagadish (Umich)
Oct 2023 - Sep 2026Active PI
Department of Energy (CESER) | $450K
Collaborators: Dr. Soumya Kundu
June 2023 - Sep 2024 PI
Department of Energy (HELM) | $70K
Interactive Visual Analytics for Explainable AI/ML in Grid Sensing
Collaborators: Dr. Soumya Kundu (PNNL)
Sep 2022 - May 2024 PI
Department of Energy (RDPP) | $145K
A Scientist-in-the-Loop Data Analytics Framework for Intelligent Simulation Model Tuning and Validation
Collaborators: Prof. Chase Wu (Co-PI, NJIT)
Oct 2019 - Sep 2023 Co-PI
NSF Future of Work | $849K (responsible for $220K)
Augmenting Social Media Content Moderation

Research Themes

Visualization + Explainable AI for Algorithmic Rankers

Design and evaluate explanation methods and interactive visualization techniques for probing score-based and learned algorithmic rankers.

ML Model Explainability and Human-Machine Interaction

Provide domain experts and model developers with tools that explain the decisions of machine learning models and help them semantically validate models.

Privacy-Aware Data Discovery

Adapt visualizations to prevent disclosure of sensitive information by developing information loss metrics that can help address the trade-off between privacy gain and loss of utility due to anonymization.

Visualization for Simulation Model Comparison

Let domain scientists reason about computational model behavior and help them select the most accurate models by interactively comparing multiple facets of model performance.

User Studies on Trust, Preference, & Familiarity

Conduct user studies with experts from biology and climate science domains to evaluate if and how optimal visualization design can overcome potential biases due to familiarity.

Visualization Perception & Design Analysis

Study and survey of the visualization design space for devising classification schemes that bridge human perception with visual encodings.

Optimizing Pattern Search in High-Dimensional Data Spaces

Provide guidance to analysts for finding patterns in high-dimensional subspaces by devising metrics that quantify salient patterns.

Students

Current Ph.D. Students

  • Vrushali Koli
    2022 - 2026 (expected)
  • Bayan Divaaniaazar
    2024 - Present
  • Saikiran Battula
    2025 - Present
  • Avina Nakarmi
    2025 - Present

Ph.D. Alumni

  • Jun Yuan
    2019 - 2024
    Post-doc Research Associate at Digital Technology for Democracy Lab, UVA (Aug '25)
  • Kaustav Bhattacharjee
    2019 - 2024
    Post-doc Research Associate at Optimization & Control Group, PNNL

Previous Research Assistants

  • M.S. Data Science
    Parvathy Neelkanta Sharma, Sasikala Vasudevan, Likhitha Musku, Divya Chandana, Yaohua Zhao, Akm Islam
  • B.S. IT/CS/DS
    Gabriel Aquende, Tanvirul Islam, Parth Merchant, Saanvi Chougule, Saidarsha Karunakaran, Potri Abhisri Barama, Conor Fitzpatrick, Minh Le