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Hire Dr. Kamanasish B.

India

USD 60 /hr

Assistant Professor (CSE, NIT) | AIML Researcher | Ex-PostDoc (Mayo Clinic, USA) | PhD (IIT Roorkee)

Profile Summary

I am an Assistant Professor in the Department of Computer Science and Engineering at NIT Agartala with a strong interdisciplinary research and teaching profile centered on Machine Learning, Deep Learning, Weakly Supervised Learning, and AI for Healthcare, supported by a Ph.D. in Machine Learning from IIT Roorkee, an M.Tech in CSE, and a B.E. (Hons.) from BITS Pilani with consistent academic excellence from school onward. My research trajectory shows methodological depth, particularly in Multiple Instance Learning and nature-inspired optimization algorithms (DE, GA, PSO), with impactful applications in medical imaging, radiology AI, COVID-19 decision support, fairness and bias in clinical AI, and emerging work in RNA structure prediction, reinforced by international collaborations across the USA, UK, Australia, Czech Republic, and South Korea and a postdoctoral fellowship at Mayo Clinic (MI2 Lab, USA) focusing on translational and responsible AI. I have a robust publication record in reputed journals and conferences, including a best paper award, and my teaching portfolio spans AI, ML, analytics, healthcare AI, computer networks, and game theory, along with demonstrated academic leadership through curriculum design, Board of Studies membership, and year coordination at VIT Vellore and NIT Agartala. Complementing my academic profile, I bring industry experience from Infosys in enterprise software development and consulting exposure through internships, making my overall profile that of a research-driven academic with strong applied, interdisciplinary, and leadership capabilities, well-suited for advanced research, international collaboration, consulting, and higher academic roles.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Computer Science Education
• ☆ Python

Services

• Writing
• Research
• Data & AI

Writing Technical Writing, General Proofreading & Editing

Research Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Data & AI Predictive Modeling, Data Cleaning, Data Processing

Work Experience

Assistant Professor

NIT Agartala

September 2025 - Present

Assistant Professor

Vellore Institute of Technology University

June 2023 - September 2025

Researcher

Mayo Clinic

September 2022 - May 2023

Technology Analyst

Infosys Technologies Ltd

August 2012 - April 2014

Education

Ph.D. (Applied Mathematics & Scientific Computing)

Indian Institute of Technology Roorkee

July 2017 - September 2022

M.Tech (Computer Science and Engineering)

Amity University

July 2015 - June 2017

B.E (Hons.) (Electrical and Electronics Engineering)

Birla Institute of Technology and Science

August 2008 - July 2012

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Deepa, D., Yoganand, S., Balaji, N., Bhattacharjee, K.(2025). Cost Effective Machine Vision System for RealTime Defect Detection and Energy Efficiency in Learning Factories . 2025 IEEE International Conference on Emerging Technologies and Applications Mpsec Iceta 2025.

Tiwari, A., Bhattacharjee, K., Pant, M., Nowakova, J., Snasel, V.(2022). Evolutionary Multi-level Thresholding for Breast Thermogram Segmentation . Lecture Notes in Networks and Systems. 312. p. 253-263.

Kamanasish Bhattacharjee, Arti Tiwari, Millie Pant, Chang Wok Ahn (2020). A Pooling Function based on Differential Evolution for Multiple Instance Learning . International Conference on Smart Media and Applications.

Bhattacharjee, K., Pant, M., Bhattacharjee, K., Pant, M.(2020). Applications of Metaheuristics in Hyperspectral Imaging: A Review . Advances in Intelligent Systems and Computing. 1053. p. 1005-1015.

Bhattacharjee, K., Tiwari, A., Rakesh, N.(2018). Block matching algorithm based on hybridization of artificial bee colony and differential evolution for motion estimation in video compression . Smart Innovation Systems and Technologies. 79. p. 85-96.

Bhattacharjee, K., Tiwari, A., Kumar, S.(2018). Block matching algorithm based on hybridization of harmony search and differential evolution for motion estimation in video compression . Advances in Intelligent Systems and Computing. 584. p. 625-635.

Tiwari, A., Bhattacharjee, K., Kumar, S., Pant, M.(2018). Methods to choose the ‘best-fit’ patch in patch-based texture synthesis algorithm . Advances in Intelligent Systems and Computing. 584. p. 617-623.

Bhattacharjee, K., Kumar, S.(2017). A novel block matching algorithm based on Cuckoo search . 2nd International Conference on Telecommunication and Networks Tel Net 2017. 2018-January. p. 1-5.

JOURNAL ARTICLE

Tiwari, A., Bhattacharjee, K., Pant, M., Srivastava, S., Snasel, V.(2023). An AI-enabled research support tool for the classification system of COVID-19 . Frontiers in Public Health. 11.

Banerjee, I., Bhattacharjee, K., Burns, J.L., Trivedi, H., Purkayastha, S., Seyyed-Kalantari, L., Patel, B.N., Shiradkar, R., Gichoya, J.(2023). “Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation . Journal of the American College of Radiology. 20. (9). p. 842-851.

Kamanasish Bhattacharjee, Millie Pant, Shilpa Srivastava(2022). Evolutionary multiple instance boosting framework for weakly supervised learning . Complex & Intelligent Systems. 8. (4). p. 3131--3141. Springer Science and Business Media {LLC}

Kamanasish Bhattacharjee, Millie Pant, Shilpa Srivastava (2022). Evolutionary multiple instance boosting framework for weakly supervised learning . Complex & Intelligent Systems.

Bhattacharjee, K., Pant, M., Srivastava, S.(2022). Evolutionary multiple instance boosting framework for weakly supervised learning . Complex and Intelligent Systems. 8. (4). p. 3131-3141.

Kamanasish Bhattacharjee, Arti Tiwari, Millie Pant, Chang Wook Ahn, Sanghoun Oh (2021). Multiple Instance Learning with Differential Evolutionary Pooling . Electronics.

Kamanasish Bhattacharjee, Arti Tiwari, Millie Pant, Chang Wook Ahn, Sanghoun Oh (2021). Multiple Instance Learning with Differential Evolutionary Pooling . Electronics.

Bhattacharjee, K., Tiwari, A., Pant, M., Ahn, C.W., Oh, S.(2021). Multiple instance learning with differential evolutionary pooling . Electronics (Switzerland). 10. (12).

Kamanasish Bhattacharjee, Millie Pant, Yu-Dong Zhang, Suresh Chandra Satapathy (2020). Multiple Instance Learning with Genetic Pooling for medical data analysis . Pattern Recognition Letters.

Bhattacharjee, K., Pant, M., Zhang, Y.-D., Satapathy, S.C., Bhattacharjee, K., Pant, M., Zhang, Y.-D., Satapathy, S.C.(2020). Multiple Instance Learning with Genetic Pooling for medical data analysis . Pattern Recognition Letters. 133. p. 247-255.

Bhattacharjee, K., Pant, M., Bhattacharjee, K., Pant, M.(2019). Hybrid particle swarm optimization-genetic algorithm trained multi-layer perceptron for classification of human glioma from molecular brain neoplasia data . Cognitive Systems Research. 58. p. 173-194.

Bhattacharjee, K., Kumar, S., Pandey, H.M., Pant, M., Windridge, D., Chaudhary, A.(2018). An improved block matching algorithm for motion estimation in video sequences and application in robotics . Computers and Electrical Engineering. 68. p. 92-106.