Dr. Psbishnu Sarathi Bishnu Ph.D(Computer Science ), M.Tech( Computer Science), B.E.(Electronics)

Date of Joining: 1st July, 2004
  • Department of Computer Sc. & Engg. Birla Institute of Technology, Mesra, Lalpur Ranchi, Jharkhand, 834001, India
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Research Areas

  • Medical Informatics
  • Business Intelligence
  • Statistical Physics
  • Data Mining
  • Machine Learning
  • Deep Learning

Work Experience

  • Teaching: 23 Years
  • Research: 21 Years
  • Industry: 23 Years
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Academic Profile

Project
Project

2

Total Project

Leadership & Institutional Service

Teaching & Mentorship

Current Sponsored Projects

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  • Project title: "Noninvasive method for detection and analysis of anaemia in pregnant women using a deep learning-based model: A Multidisciplinary, Multicentric Study." Duration of 36 months, spanning from 1 March 2025 to 29 February 2028. The project was
  • "Noninvasive method for detection and analysis of anaemia in pregnant women using a deep learning-based model: A Multidisciplinary, Multicentric Study." Duration of 36 months, spanning from 1 March 2025 to 29 February 2028. The project was supported by th

Intellectual Property Rights (IPR)

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  • Deepanshu Baghel, Partha Sarathi Bishnu, Vandana Bhattacharjee, Archana Kumari, Pushpanjali Ojha, Ahmed Hussain, Amit Kumar, Sunil Kumar Mahto, & Dewesh Kumar. (2026, May 02). A system and method for privacy-preserving risk scoring (Indian Patent Applicat

    • Date:

  • Abhishek Kumar, Partha Sarathi Bishnu, and Vandana BhattacharjeeAdaptive Multi-Objective Recommendation Using User-Configurable Business Weights in Omni-Channel Digital Retail, Indian Patent Application No. 202631019723, filed February 20, 2026.

    • Date:

  • Partha Sarathi Bishnu, Abhishek Kumar, and Vandana Bhattacharjee, BIRLA INSTITUTE OF TECHNOLOGY MESRA. System and Method for Optimizing Discounts to Enhance Customer Satisfaction and Company’s Revenue, Patent application no. 202431053477. Priority Date: J

    • Date:

Fellowship

  1. Dr. Ritesh Kumar, “Application of data mining in business intelligence”, (Guide) [Awarded, 2020]
  2. Dr. Umang Gupta, “Discovery of interesting patterns using data mining techniques”, (Co guide), [Awarded, 2021]
  3. Dr Pratik Biswas, “Factors influencing customer preferences towards purchasing of mediclaim insurance from banks”, (External guide), [Awarded, 2022]
  4. Dr. Abhishek Kumar (Guide), “Intelligent Systems for Predictive Analytics and Optimization: From Generative Models to Constrained Decision-Making” [Awarded, 2026]
  5. Mr Abhishek (Guide) [On going]
  6. Mr Deepanshu Baghel (Guide) [On going]