Dipanjyoti Paul

Assistant Professor, University of Tsukuba · Visiting Scientist, The Ohio State University

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Department of Computer Science

Institute of Systems and Information Engineering

University of Tsukuba, Japan

I am an Assistant Professor in the Department of Computer Science at the Institute of Systems and Information Engineering, University of Tsukuba, and a member of the Center for Artificial Intelligence Research (C-AIR). I am also a Visiting Scientist with the Department of Computer Science and Engineering and the Imageomics Institute at The Ohio State University.

Previously, I was a postdoctoral fellow at the Imageomics Institute, The Ohio State University. I earned my Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, where my thesis focused on advanced machine-learning algorithms for streaming data.

My research sits at the intersection of machine learning and biology, with interests in computer vision, imageomics, explainable AI, AI for health, streaming data, real-time summarization, and foundation models.

Research interests

  • Machine learning and computer vision
  • Imageomics and AI for science
  • Explainable and interpretable AI
  • AI in health
  • Streaming data and real-time summarization
  • Foundation models

Current appointments

  • Assistant Professor · University of Tsukuba · March 2024–present
  • Visiting Scientist · The Ohio State University / Imageomics Institute · January 2024–present
  • Postdoctoral Fellow · The Ohio State University / Imageomics Institute · October 2022–January 2024

selected publications

  1. A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
    Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, and 11 more authors
    In The Twelfth International Conference on Learning Representations, 2024
  2. Online Summarization of Microblog Data: An Aid in Handling Disaster Situations
    Dipanjyoti Paul, Shivani Rana, Sriparna Saha, and 1 more author
    IEEE Transactions on Computational Social Systems, 2024
  3. ML-KnockoffGAN: Deep Online Feature Selection for Multi-Label Learning
    Dipanjyoti Paul, Snigdha Bardhan, Sriparna Saha, and 1 more author
    Knowledge-Based Systems, 2023
  4. Multi-Objective PSO Based Online Feature Selection for Multi-Label Classification
    Dipanjyoti Paul, Anushree Jain, Sriparna Saha, and 1 more author
    Knowledge-Based Systems, 2021
  5. Multi-Objective Cuckoo Search-Based Streaming Feature Selection for Multi-Label Dataset
    Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, and 1 more author
    ACM Transactions on Knowledge Discovery from Data, 2021