Admission Against Cancellation/Lapsed Seats
Apply Now
B.Tech | BCA | MCA | M.Tech
Apply Now
B.Com with ACCA | BBA with ACCA
Apply Now
B.Com | BBA | MBA | EMBA | MBA (CII)
Apply Now
B.Sc.(Hons) | M.Sc. Agriculture
Apply Now
B.Design - Fashion Design | Interior Design
Apply Now
B.Pharm | M.Pharm | D.Pharm
Apply Now
B.Sc - AI | Cyber Security | Data Science
Apply Now
B.A. (Hons) - Political Science | Psychology | Economics
Apply Now
Public Self-Disclosure
UGC (Section 13)
Fee Payment (EMI)
Parag Kawaduji Gajbhiye

Parag Kawaduji Gajbhiye

Designation Assistant Professor
School Anand School of Engineering & Technology
Department Computer Science & Engineering (CSE)
E-mail parag.gajbhiye@agra.sharda.ac.in
About

Mr. Parag Kawaduji Gajbhiye is an academic and researcher specializing in Neural Network Cryptography, Post-Quantum Secure Communication, and Database Management Systems. He is currently pursuing his Ph.D. in Computer Science and Engineering at the Indian Institute of Information Technology (IIIT), Nagpur, where his work integrates Neural Networks, Generative Adversarial Networks (GANs), Quantum Random Number Generators (QRNG), and Quantum Key Distribution (QKD) into a unified framework for secure encryption. He holds an M.Tech in Computer Science and Engineering from G H Raisoni College of Engineering, Nagpur (CGPA 9.69), and a B.E. in Computer Science and Engineering from Nagpur Institute of Technology, reflecting a strong foundation in computing. Currently an Assistant Professor at the Anand School of Engineering and Technology (ASET), Sharda University, Agra, he also serves as ASET Value Added Course (VAC) Coordinator and Internship Coordinator. Earlier, he served as MIS Incharge, Academic Faculty Workload Incharge, and Board of Studies member at G H Raisoni College of Engineering and Management, Nagpur. His research portfolio includes Springer LNNS and IEEE publications indexed in Scopus and Web of Science, presentations at international conferences in the UK and Malaysia, and a Best Paper Award at ICDAM-2026. He has completed multiple NPTEL Elite certifications and faculty development programmes, including one with E&ICT Academy, IIT Guwahati. Passionate about cryptography and emerging technologies, he is committed to impactful teaching, research excellence, and student mentoring.

Experience

06+ Years

Qualification
  • Ph.D. in Computer Science and Engineering, IIIT Nagpur (Pursuing; enrolled July 2026; PET qualified June 2026)
  • M.Tech in Computer Science and Engineering, G H Raisoni College of Engineering, Nagpur, 2026 (CGPA 9.69)
  • B.E. in Computer Science and Engineering, Nagpur Institute of Technology, Nagpur, 2023 (CGPA 7.98)
Award & Recognition

  • Best Paper Award, 7th International Conference on Data Analytics and Management (ICDAM-2026), London Metropolitan University, UK, June 2026
  • Certificates of Recognition as author: ICSIT 2025 (Symbiosis Institute of Technology, Nagpur; IEEE technically sponsored), ICDAM 2026(Springer publication), DASGRI 2026 (Springer publication), GIIS2026and ICACTA-2025 (G H Raisoni, Nagpur)
  • Copyright registered: "File System Organizer" (SW-16822/2023)

Research

1. "Adversarial Neural Cryptography with Quantum-Enhanced Key Distribution: A Protocol-Level Framework Achieving Indistinguishability Security," ICDAM-2026, Springer LNNS (Scopus, WoS). Accepted; Best Paper Award.
2. "Neural-Quantum Cryptography with QKD Integration: A Protocol for Post-Quantum Secure Communication," DASGRI-2026, Springer LNNS (Scopus, WoS, EI Compendex). Presented at Goldsmiths, University of London.
3. "Quantum-Adversarial Cryptography: A Provably Secure Neural Protocol for Post-Quantum Communication," GIIS-2026, INTI International University, Malaysia. Presented.
4. P. Gajbhiye, A. Turankar, M. Dhone, "Adversarial and Quantum-Driven Neural Network Cryptography: A Comprehensive Framework for Secure Encryption," ICSIT 2025, IEEE (Scopus). DOI: 10.1109/ICSIT65336.2025.11295049
5. "Bio-Hybrid Learning in Spiking Neural Networks: Merging STDP and Backpropagation for Scalable, Energy-Efficient AI," IJMSRT, Vol. 4, Issue 1, Jan 2026.
6. "File System Organizer," IJSREM, Vol. 7, Issue 21, Feb 2023.
7. "Implementation on File System Organizer," HBRP Publication, Vol. 5, Issue 29, Mar 2023.

Certifications

  • NPTEL Elite: Cryptography and Network Security
  • NPTEL Elite (Silver): Cloud Computing
  • NPTEL Elite: Computer Networks and Internet Protocol
  • FDP: AI-Driven Image Intelligence (E&ICT Academy, IIT Guwahati)
  • FDP: Advanced AI Tools in Data Visualization and Analysis
  • ISTE FDP: Emerging Trends in Machine Learning, Deep Learning and Data Science

Area of Interest

Neural network cryptography, post-quantum security, quantum key distribution (QKD/QRNG), generative adversarial networks, database management systems, soft computing, Computer Network