Poly Rani Ghosh

Poly Rani Ghosh is an experienced academic, researcher, and AI practitioner with over 14 years of teaching, research, and academic leadership experience in Computer Science and Engineering. Her professional focus spans Artificial Intelligence, Responsible AI, Neuro-Cybernetics, Brain–Computer Interfaces, Robotics, and Deep Learning, with strong alignment to emerging ethical and trustworthy AI frameworks.

She earned both her B.Sc. and M.Sc. degrees in Computer Science and Engineering from the University of Rajshahi, securing first position in her cohort at both undergraduate and postgraduate levels. She also served as a Visiting Researcher at the Neuro-Cybernetics & Robotics Laboratory, University of Kasugai, Aichi, Japan, where she engaged in advanced research on Brain Computer Interfacing and human–machine interaction.

Ms. Ghosh is a co-author of the internationally published training handbook

“Responsible AI Engineering: Building Trustworthy Systems”,

jointly authored with Professor Alamgir Hossain, a globally recognized AI academic and industry leader. The book provides a structured, practitioner-oriented framework for designing ethical, transparent, accountable, and human-centered AI systems, and is positioned as a reference text for AI engineers, researchers, and policy-aligned institutions.

Her research contributions include a substantial number of peer-reviewed journal publications in areas such as EEG-based medical diagnostics, generative AI models, federated deep learning, neuro-assistive technologies, IoT, edge computing, and cloud security. She also serves as an International Reviewer for IEEE, Springer, and Elsevier, supporting global research governance and quality assurance.

Prior to joining NDUB, She served at UK-based AI Innovation Research Firm Digital Readiness & Intelligence Ltd. as a Deputy Director. She held academic appointments at several reputed institutions both in public & private universities, including Jatiya Kabi Kazi Nazrul Islam University, Primeasia University, University of Liberal Arts Bangladesh (ULAB), Daffodil International University, and many others. She has also undertaken leadership responsibilities such as Research Head reflecting strong capabilities in academic planning, research management, and curriculum development. She also served in the Liberation War Museum as Education Coordinator.

Her teaching approach is grounded in Outcome-Based Education (OBE), research-integrated instruction, and industry relevance. She regularly teaches undergraduate and graduate courses in Artificial Intelligence, Machine Learning, Neural Networks, Signal Processing, Robotics, Data Science, and Software Engineering.

Research Interests

• Responsible and Trustworthy AI
• Brain–Computer Interface (BCI)
• Generative AI and Deep Learning
• Neuro-Cybernetics and Robotics
• Signal Processing and EEG Analytics
• Medical AI and Assistive Technologies

Research & Publications

Book

• Responsible AI Engineering: Building Trustworthy Systems – Training Handbook
  Co-authored with Professor Alamgir Hossain

Journal

1. P. R. Ghosh, K. Hirose, M. K. I. Molla, “Spectral Analysis of Audio Signals with Noise Assisted Empirical Mode Decomposition” International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 8, No. 4, pp. 73-88, April, 2015.
2. M. K. I. Molla, P. R. Ghosh and K. Hirose, “Bivariate EMD based data adaptive approach for the analysis of climate variability”, Discrete Dynamics in Nature and Society, Vol. 2011, July, 2011.
3. Umme Rumana Tua, Mohammad Abdullah Al Zakir, Poly Rani Ghosh, “Mapping Solutions for Livestock Climate Challenges: Satellite Tech Innovations Steer Through Environmental Risks” Science, Technology & Public Policy, October,2025.(Accepted).
4. Poly Rani Ghosh , Md Gazi Maynul Hassan Moin, Halima Mowla^,  “”Surgical Robotics Enhanced by 3D Reconstruction for Minimally Invasive Bicuspid Aortic Valve Replacement Surgery ” Journal of Primeasia 4(1) 1-5 https://doi.org/10.25163/primeasia.4140043, Published: 28 March 2023
5. Poly Rani Ghosh, Halima Mowla, Rahnuma Tasmin, “Enhancing Robotics and Neurocybernetics with Brain-Computer Interfacing for Special Child Care” Journal of Primeasia 4(1) 1-6 https://doi.org/10.25163/primeasia.4140041, 07 January 2023
6. Poly Rani Ghosh , Shakher Halder , Halima Mowla. “Investigating the Role of Generative AI Models in Neurocybernatics for Brain-Computer Interface Adaptability in Motor Disabilities.” Journal of Primeasia, https://publishing.emanresearch.org/Journal/MostReadAbstract/5509
7. Poly Rani Ghosh, Tanmoy Mozumder, Sharmin Rashid, “Navigating the AI Frontier: Advancements Redefining the World Wide Web’s Future” Journal of Primeasia, https://publishing.emanresearch.org/Journal/MostReadAbstract/5498
8. Rutba-Aman, Rahnuma Tasmin, Poly Rani Ghosh, Unveiling the Veiled: Leveraging Deep Learning and Network Analysis for De-Anonymization in Social Networks” Journal of Primeasia 4(1) 1-6 https://doi.org/10.25163/primeasia.4140042, 13 February 2023
9. Poly Rani Ghosh, Maria Afnan, Joy Biswas, “Neurocybernetic Assistive Technologies to Enhance Robotic Wheelchair Navigation”, Journal of Primeasia, https://publishing.emanresearch.org/Journal/MostReadAbstract/5497
10. Poly Rani Ghosh, Md. Rafiul, Halima Mowla, “.Federated Three-Dimensional (3D) Convolution Neural Network (CNN) Approach in the Early Detection and Classification of Alzheimer’s Disease using Electroencephalogram(EEG) Data” Journal of Primeasia, 2024
11. Poly Rani Ghosh, Md. Tanvir Anjum Labir, Halima Mowla, “EmotionFusion : A Holistic Deep Learning Approach for Enhanced Human Emotion Recognition Integrating EEG Signals”, Journal of Primeasia, 2023
12. Sajeeb Adhikary, Poly Rani Ghosh, Halima Mowla, “Neuro-Tech for Diabetes: Revolutionizing Patient Care with Computer Interfaces” Journal of Primeasia, 2023
13. Poly Rani Ghosh , Saiful Islam Tuhin, Halima mowla, “Recurrent Neural Network-Based Deep Learning Approach to Detect Brain Aneurysm using Electroencephalogram Data”, Journal of Primeasia, August 2024
14. Poly Rani Ghosh, Md. Ahsan Chowdhury, Halima Mowla,” Next-Generation Business Intelligence: Harnessing IoT and Edge Computing Technologies” Journal of Primeasia, August 2023
15. Poly Rani Ghosh, Md. Ahsan Chowdhury, Halima Mowla, “Secure in the Cloud: Addressing Security Concerns in Cloud-Based Accounting Systems in Bangladesh”, Journal of Primeasia, 2024
16. Sadia Afrin , Ahmed Abdullah Saquif , Rutba Aman  , Poly Rani Ghosh, “Integrating Cardiac Disease Detection using Deep Learning Approach” Journal of Primeasia, 2023

Awards & Recognition

• NSICT Fellowship for M.Sc. Research (Ministry of Science & ICT, Bangladesh)
• Merit Scholarship for academic excellence (University of Rajshahi)
• Government Scholarships for SSC and HSC academic performance

Professional Engagement

• International Reviewer (IEEE, Springer, Elsevier)
• Consultant, Digital Readiness & Intelligence (UK-based AI firm)

Poly Rani Ghosh continues to contribute actively to research, student mentorship, and responsible AI capacity building, supporting NDUB’s strategic objectives in academic excellence, ethical technology education, and global engagement.