Subhashis Hazarika

Subhashis Hazarika

Research Scientist

Currently, I am working as an Advanced Computer Scientist at Palo Alto Research Center (PARC), part of SRI International. My research lies at the intersection of machine learning, scientific visualization and explainable AI. I am interested in developing statistical and AI/ML models, coupled with interactive visualization techniques to design effective analysis and exploration workflows for a wide variety of scientific application domains.

At PARC, I am part of the Complex Systems Analytics team, within the Intelligence Systems Lab. I am involved in several government and commercially funded interdisciplinary data science projects in the area of climate science, healthcare, and sensor analytics. Prior to joining PARC, I was a Postdoctoral Researcher at the Data Science at Scale Group of Los Alamos National Laboratory (LANL). I graduated with a Ph.D. and an M.S. from the Department of Computer Science & Engineering of The Ohio State University in 2019. At Ohio State, I was a member of the GRAphics and VIsualization sTudY (GRAVITY) research group led by my advisor, Dr. Han-Wei Shen. I completed my Bachelor’s in Computer Science & Engineering from National Institute of Technology, Durgapur, West Bengal (India) in 2011.

Research Interest:

  • Multimodal Machine Learning for Medical Image Analysis
  • Graph Neural Networks and Explainability in Scientific Applications
  • Machine Learning-assisted Design of Interactive Visual Analytics
  • In situ Data Analysis of Large-Scale Scientific Simulations
  • Distribution-based Probabilistic Feature Extraction & Visualization
  • Multivariate and Ensemble Data Analysis & Visualization

Relevant Research Projects and Fundings:

  • NASA Advanced Information Systems Technology: 21-AIST21_2-0091
    • DTAS: A prototype Digital Twin of Air-Sea interactions
    • Role: Co-PI | PI: Dr. A. Gray | Team: University of Washington, PARC
  • DARPA Artificial Intelligence Exploration (AIE) Program for AI-assisted Climate Tipping-point Modeling (ACTM): DARPA-PA-21-04-02
    • AIBEDO: A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns
    • Role: Co-Investigator | PI: Dr. K. Ramea | Team: PARC, University of Victoria
  • Palo Alto Research Center Exploratory Research Projects:
    • EDDY: Explaining AI-based Drug DiscoverY Models [Role: PI]
    • MedVQA: Medical Visual Question Answering with Cognitive Reasoning [Role: PI]