Mr. Pankaj B. Devre

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NAME: Pankaj Bharat Devre
DESIGNATION: Assistant Professor
QUALIFICATION:

  • Ph.D. (Pursuing - Computer Science and Engineering), Course Work Completed (SGPA 9.33), Research Scholar at Amity University Mumbai.
  • M.E. (Computer Engineering), MET's Institute of Engineering, Nashik, Savitribai Phule Pune University (SPPU), May 2015, First Class.
  • B.E. (Computer Science and Engineering), KIT's College of Engineering, Kolhapur, Shivaji University, May 2008, First Class.
  • M.A. (Yogashastra), Yog Mahavidyalaya, Nashik, Kavikulguru Kalidas Sanskrit University, Nagpur, July 2022, First Class.

Overview of Profile

Prof. Pankaj Bharat Devre is an Assistant Professor in the School of Computer Engineering at MIT Academy of Engineering (MITAOE), Alandi, Pune, with over 17 years of extensive academic, instructional, research, and institutional leadership experience in Computer Engineering. He is currently pursuing his Ph.D. in Computer Science and Engineering at Amity University Mumbai, focusing on Explainable Artificial Intelligence (XAI), Machine Learning architectures, and regulatory-compliant fraud mitigation frameworks.

His teaching and research interests include the Internet of Things (IoT), Embedded Systems, Explainable Artificial Intelligence (XAI), Generative AI & Prompt Engineering, Data Analytics, Edge AI, Privacy-Preserving Machine Learning, Android Application Development, and Object-Oriented Technologies. He has contributed significantly to academic administration and professional outreach, serving as AICTE Eduskills Coordinator, IIRS-ISRO Nodal Center Coordinator, Swayam/NPTEL Coordinator, Departmental Training and Placement Coordinator, and Technical Reviewer for multiple prestigious IEEE, Springer, and international peer-reviewed journals.

Prof. Devre has published high-quality research papers across Springer Nature proceedings, IEEE international conferences, Scopus-indexed and refereed international journals, and academic book chapters. He has also authored and published patents on AI-enabled financial risk assessment and fraud detection. As a seasoned academic resource person, he has conducted multiple AICTE-ATAL, TEQIP, and University-sponsored Faculty Development Programs, technical workshops, and student training programs across Maharashtra and other states.

He is deeply committed to student-centric learning through project-based education, modern open-source tool integrations, industry-relevant problem solving, hands-on laboratory developments, and research-driven pedagogy to prepare engineers for evolving Industry 5.0 demands.

FORE FRONT AREA OF RESEARCH: Internet of Things (IoT), Explainable Artificial Intelligence (XAI), Machine Learning & Deep Learning, Edge AI, Financial Fraud Detection & Risk Analytics, Data Science, and Engineering Pedagogy.
EMAIL ID: pbdevre@gmail.com / pankaj.devre@mitaoe.ac.in
EXPERIENCE: 18+ Years

Research Profile

Professional Memberships

  • Life Member - Indian Society for Technical Education (ISTE)
  • Member - International Association of Engineers (IAENG)
  • Member - International Association of Academicians (IAASSE)

Awards and Achievements

  • Nominated for Educator Excellence Award (Google) - 2024 via AICTE Eduskills.
  • AICTE Eduskills Coordinator & Departmental Training and Placement Coordinator (Computer & AI-DS).
  • IIRS-ISRO Nodal Center Coordinator (MET Bhujbal Knowledge City).
  • Syllabus Preparation Team Member for SE AI & DS (2020 Course) - Internet of Things (IoT) Subject, SY _ Entrepreneurship Skills, Savitribai Phule Pune University (SPPU).

Tutorial & Reviewer Assignments

  • Technical Reviewer - IEEE PUNECON 2025.
  • Technical Reviewer - 6th International Conference on Electrical, Computer and Energy Technologies (IEEE ICECET).
  • Technical Reviewer - 2nd IEEE International Conference on Information, Implementation and Innovation in Technology (IEEE ICIIT 2026).
  • Technical Reviewer - International Conference on Science, Technology, Engineering, and Mathematics for Sustainable Development (STEM-SD 2026).
  • Technical Reviewer - International Conference on Innovative Approaches in Multidisciplinary Engineering and Technology (ICIAMET 2026).
  • Peer Reviewer - IGI Global (Edited Books and Journal Manuscripts).
  • Paper Reviewer - IEEE ICCUBEA (International Conference on Computing, Communication, Control and Automation) 2024.
  • Reviewer - International Journal of Research and Innovation in Social Science (IJRISS).
  • Judge / Evaluator - National Level Project Competition, Institution of Engineers (India), Nashik.

Invited Speaker / Sessions as Resource Person

  • Conducted Guest Lecture on 'Data to Decisions with Python' at Atharva College of Engineering, Malad, Mumbai.
  • Resource Person for Faculty Orientation Program for SE Computer Engineering for 'Entrepreneurship Development'.
  • Resource Person for Two-Day Workshop on 'Internet of Things (IoT)' at MCA Department, MET's IOE, Nashik (January 2023).
  • Resource Person for SPPU Online FDP on 'IoT' for MCA Faculty (January 2021).
  • Delivered Faculty Development Program on 'Embedded Systems and IoT' at Nashik Engineering Cluster (NEC) (August 2019).
  • Resource Person for TEQIP-Sponsored Workshop on 'Internet of Things' at Government College of Engineering, Karad (August 2018).
  • Conducted Intensive Workshop on 'Internet of Things' at SGGS Institute of Engineering & Technology, Nanded (January 2018).
  • Resource Speaker for AICTE ATAL FDP on 'IoT' at MET's Institute of Engineering, Nashik (January 2018).
  • Conducted Student Training Program (STP) on 'ESIOT Lab' at Brahma Valley College of Engineering, Nashik.
  • Resource Person for STP on 'IoT' at Prasad V. Potluri Siddhartha Institute of Technology (PVPSIT), Vijayawada, Andhra Pradesh (March 2017).
  • Delivered Short Term Training Program (STTP) on 'Advances in IoT' at SPCOE, Junnar, Pune (October 2016).
  • Resource Person for TEQIP-Sponsored STTP on 'Internet of Things' at Government College of Engineering, Karad (June 2016).
  • Conducted STTP on 'IoT' at MET's IOE in association with Computer Society of India (CSI) (June 2016).
  • Resource Speaker for STTP on 'Core Java and Advanced Java' at MET's IOE, Nashik (June 2016).
  • Delivered Technical Workshop on 'LaTeX for Scientific Paper & Thesis Writing' for ME Computer Engineering, MET's IOE (August 2015).

Publications

A. Refereed & Indexed Journal Publications

  1. Pankaj Devre, A. Pawar, and N. Navghare, 'Edge AI in IoT Systems: Reducing Latency and Power Usage', International Journal of Integrated Research and Practice (IJIRP), ISSN: 3107-5037, Vol. 1, Issue 9, pp. 42-51, Dec. 2025.
  2. Pankaj Devre and S. Ambre, 'Optimizing Urban Green Spaces for Reducing Heat Stress in High-Density Urban Environments Using Data-Driven Approaches', International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), ISSN: 1542-1553, Vol. 14, Issue XII, Jan. 2026.
  3. Pankaj Bharat Devre, Dr. Madhuri A. Bhalekar, and Dr. M. U. Kharat, 'Grammar Generation and Optimization from Multiple Inputs', International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, Vol. 3, Issue 1, Jan. 2015.
  4. Pankaj Devre and Dr. Madhuri A. Bhalekar, 'Generating Multimodal Grammar using CYK and e-GRIDS Algorithm', International Journal of Computer Science and Mobile Computing (IJCSMC), ISSN: 2320-088X, Vol. 3, Issue 8, pp. 1-8, Aug. 2014.
  5. Santosh S. Kore, Vinayak I. Pujari, and Pankaj Bharat Devre, 'Applications of Deep Learning and Machine Learning: A Vision', Journal of Technical Education (JTE), Vol. 47, Issue 1, pp. 135, Apr. 2024.
  6. P. Lambat, A. Ratnaparkhi, G. SunithaRekha, T. Ramesh, Pankaj Bharat Devre, and B. Shaik, 'Federated Learning-Based Privacy-Preserving Health Data Sharing System for Medical Research', Refereed Journal / Conference Proceedings Series, Jan. 2026.

B. Conference Publications (IEEE / Springer Nature)

  1. G. S. Guptha, Y. Tumuluri, G. Vasanti, S. R. Sagar, K. S. Gagare, and Pankaj Bharat Devre, 'Adaptive AI-Based Skill Development Platform for EV Maintenance and Diagnostics Training', in IEEE 2nd International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM 2025), IEEE, 2025.
  2. Pankaj Devre and Deepika Shekhawat, 'TrustXAI: A Regulatory-Compliant Explainability Framework for AI-based Financial Fraud Systems', in Proceedings of the 3rd International Conference on Recent Advances in Computational Techniques (ICRACT 2025), Springer Nature, Nov. 2025.
  3. Pankaj Devre and Deepika Shekhawat, 'Explainable Artificial Intelligence for Financial Fraud Detection: Bridging Transparency and Trust', in Proceedings of the 2nd International Conference on Innovations in Data Science (ICIDS 2025), Springer Nature, Nov. 2025.
  4. P. Lambat, A. Ratnaparkhi, G. SunithaRekha, T. Ramesh, Pankaj Bharat Devre, and B. Shaik, 'Federated Learning-Based Privacy-Preserving Health Data Sharing System for Medical Research', in 6th International Conference on Recent Trends in Computer Science and Information Technology (ICRCSIT 2026), 2026.
  5. Pankaj Bharat Devre, 'Incorporating GenAI Era Competencies in Implementing Project-Based Learning', presented at Faculty Conclave 2025, MIT Academy of Engineering (MITAOE), Alandi, Pune, 2025.
  6. Santosh S. Kore, Vinayak I. Pujari, and Pankaj Bharat Devre, 'Applications of Deep Learning and Machine Learning: A Vision', in 10th National Conference on Emerging Trends in Engineering and Technology (NCETET 2024), Bharati Vidyapeeth College of Engineering, Kolhapur, Apr. 2024.
  7. Pankaj Devre and Dr. Madhuri A. Bhalekar, 'Multimodal Grammar: Combination of CYK and e-GRIDS Algorithm', in Third Post Graduate Conference of Computer Engineering (cPGCON 2014), BoS Computer Engineering, Savitribai Phule Pune University (SPPU), Mar. 2014.

C. Book Chapters

  1. Pankaj Devre and Deepika Shekhawat, 'Explainable Deep Learning: Enhancing Trust in AI Based Decision Systems', in Foundations of Future Interdisciplinary Research: Cross Domain Methods and Models, Infinity Publications, Dec. 2025.
  2. Pankaj Devre and Deepika Shekhawat, 'Ethical AI: Designing Transparent and Explainable Systems', in New Directions in Multidisciplinary Research: Integrating Ideas Across Domains, Infinity Publications, 2025.
  3. Pankaj Bharat Devre, 'Machine Learning Algorithms in Fraud Detection and Risk Management', (Chapter 31) in Intersecting Realms: New Dimensions in Multidisciplinary Research, pp. 305-320, Apr. 2025.

D. Patents

  1. Indian Patent (Published): 'AI-ENABLED FINANCIAL RISK ASSESSMENT AND FRAUD DETECTION SYSTEM', Application Published: May 2025.

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