Dr. Barnali Banerjee

Bio

Dr. Barnali Banerjee is an accomplished academician and researcher with over 14 years of teaching and research experience. Her expertise lies in Machine Learning, Artificial Intelligence, and Data Science, with a strong interdisciplinary research background in satellite imagery analysis and predictive modeling. She is committed to fostering analytical thinking and innovation among students while contributing to impactful research aligned with global challenges. She has published in reputed journals including The Lancet and actively contributes as a reviewer and Ph.D. supervisor.

Educational Qualifications : Ph.D. in Engineering – Jadavpur University, India

Areas of Expertise : Machine Learning and Artificial Intelligence, Data Mining and Data Science, Computer Vision and Image Processing, Cloud Computing, Network Security and Data Encryption, and Algorithm Design and Analysis.

Teaching Experience : Over 14 years of teaching experience across reputed institutions including MIT World Peace University, Symbiosis International University, and Narula Institute of Technology. She has taught undergraduate, postgraduate, and doctoral programs including B.Tech, MCA, MSc (CS/DS), MBA (IT), and Ph.D.

Industry / Research Experience :
Post-Doctoral Researcher at Czech Advanced Technology and Research Institute (CATRIN), Palacký University, Czech Republic (2024)
Active Ph.D. Supervisor at MIT-WPU
Reviewer for reputed journals including Elsevier and IGI Global
Research collaborations in AI, remote sensing, and healthcare analytics

Publications and Research Work (Highlights) :
Publication in The Lancet (SCI Indexed, Q1, Impact Factor 88.5)
Multiple SCI and Scopus indexed journal publications
Research in AI-driven predictive modeling, satellite image analysis, and healthcare applications
IEEE conference publications in machine learning and energy systems
Published design patent: Drug Storage Container (2026)

Awards and Recognitions :
Invited Speaker at Palacký University, Czech Republic (2023)
Session Chair – International Conference on Sustainable Smart Computing and Communications (2025)
Recognized reviewer for multiple international journals

Professional Affiliations :
Life Member – Indian Society of Remote Sensing (ISRS)
Reviewer – Elsevier, IGI Global, Bentham Science
Academic contributor and book reviewer (Tata McGraw Hill publication)

Subjects Taught : Machine Learning, Artificial Intelligence, Data Mining, Python Programming, Cloud Computing, Network Security, and Algorithm Design.

Research Profiles and Links :
Scopus ID : 55016362200 ORCID : 0000-0001-8750-1788
Web of Science Researcher ID : AAY-1242-2020