Latest News

  • [February, 2026] The Paper "SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov-Arnold Network Experts for FL-IDS in Edge-IIoT," accepted in IEEE Open Journal of the Communications Society.
  • [November, 2025] Selected as recipient of 2025 CTCI Foundation Science and Technology Scholarship-the Research Scholarship for Overseas Students.

Professional Bio

Jyoti Prakash Sahoo is a recent Ph.D. graduate in Computer Science and Information Engineering from National Taiwan University of Science and Technology (Taiwan Tech). His research advances federated learning, quantum-classical machine learning, and trustworthy AI for edge-IoT security.

An experienced Assistant Professor and Senior Member of IEEE (SMIEEE), he currently serves at the Dept of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University)[on Leave].

He is an active member of leading research groups, including the Scalable Adaptive Yet Efficient Distributed (SAYED) Systems Group at Queen Mary University of London, the Intelligent Computing & Networking (ICN) Research Group at East China Normal University, and the Quantum Research Lab at National Taiwan University of Science and Technology. With expertise in edge computing and machine learning, he contributes as an editorial and reviewer board member for several journals and conferences.

He has served in key leadership roles such as Publicity Chair, Web Chair, Organizing Secretary, and Technical Program Committee Member for numerous national and international conferences. As a WIPRO Certified Faculty, he has fostered industry-academia collaboration, student enablement, and innovative pedagogical approaches.

Research Focus

  • Federated Learning, Quantum–Classical Machine Learning, Explainable & Trustworthy AI
  • Large Language Models, Foundation Models, Generative AI in Cybersecurity

Awards & Scholarships

  • CTCI Foundation Science and Technology Scholarship, Dec 2025 (Research Scholarship)
  • NTUST Ph.D. Full Scholarship and Tuition Fee Waiver

Professional Experience

Graduate Research & Teaching Assistant
NTUST, Taiwan | Sept 2021 – July 2025
Teaching: CS3817304 Introduction to Information Security · CS3806301 Advanced Computer Networks
Assistant Professor
Dept of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), India | Aug 2010 – Nov 2021[Nov21-till date on Study Leave]
AICTE ID: 1-3746340382 ·
UG/PG Teaching & Thesis Guidance, .

Education

Ph.D., Computer Science and Information Engineering
National Taiwan University of Science and Technology, Taiwan | 2021–2025
Thesis: “Federated Learning for Explainable Intrusion Detection in Edge IoT Leveraging Neural Boosting Ensembles, Hybrid Quantum–Classical Models, and Sparse Mixtures of Quantum Experts.” · GPA: 4.2/4.3
Master of Technology, Computer Science & Engineering
IIIT Bhubaneswar | 2009 · First Division
Thesis: “Pattern Analysis of Web Access Log Files to Predict Attacks on Web.”
Bachelor of Engineering, Information Technology
C. V. Raman College of Engineering (C.V. Raman Global University) | 2005 · First Division
Thesis: “Java‑based Network Packet Analyzer.”

Recent Publications

Journal Articles

Sahoo, J. P., Kar, B., Wu, Y.-L., Abdelmoniem, A. M., & Chatzopoulos, D. (2026). SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov–Arnold Network Experts for FL-IDS in Edge-IIoT. IEEE Open Journal of the Communications Society. https://ieeexplore.ieee.org/document/11414117 (Q1, Impact Factor: 6.1)
Sahoo, J. P., Kar, B., Abdelmoniem, A. M., & Chatzopoulos, D. (2025). Choir-IDS: A federated learning framework for fidelity-calibrated explainable intrusion detection system for edge-IoT networks. Information Fusion, 125, 103473. https://doi.org/10.1016/j.inffus.2025.103473 (Q1, Impact Factor: 15.5)
Kar, B., Sahu, U., Thomas, C., & Sahoo, J. P. (2025). HybridGuard: Enhancing minority-class intrusion detection in dew-enabled edge-of-things networks. Computer Networks, 276, 111966. https://doi.org/10.1016/j.comnet.2025.111966 (Q1, Impact Factor: 4.6)
Song, Y., Wang, T., Mondal, S. K., & Sahoo, J. P. (2023). A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities. ACM Computing Surveys. https://doi.org/10.1145/3582688 (Q1, Impact Factor: 28.0)
Chen, Z., Wang, T., Cai, H., Mondal, S. K., & Sahoo, J. P. (2022). BLB-gcForest: A high-performance distributed deep forest with adaptive sub-forest splitting. IEEE Transactions on Parallel and Distributed Systems. https://doi.org/10.1109/TPDS.2021.3133544 (Q1, Impact Factor: 6.0)
Mohanty, P., Sahoo, J. P., & Nayak, A. K. (2022). Application of deep learning approach for recognition of voiced Odia digits. International Journal of Computational Science and Engineering, 25(5), 513–522. https://doi.org/10.1504/IJCSE.2022.126254

Conference Proceedings

Sahoo, S. S. P., Sahoo, J. P., Wang, T., & Mondal, S. K. (2026). Hybrid quantum-MambaVision: A quantum-enhanced state space model for calibrated mixed-type wafer defect detection. In Proceedings of the Workshop on Efficient Foundation Models for Large-Scale Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026), Hong Kong. (Accepted March 2026)
Sahoo, J. P., Kar, B., & Chen, F. (2025). QCShield: A quantum-classical hybrid framework for intrusion detection in Edge-IIoT. In Proceedings of the 6th International Conference on Advances in Distributed Computing and Machine Learning. Springer. https://link.springer.com/chapter/10.1007/978-981-96-6721-5_1
Mondal, S. K., Sahoo, J. P., Wang, J., Mondal, K., & Rahman, M. M. (2022). Fake news detection exploiting TF-IDF vectorization with ensemble learning models. In Advances in Distributed Computing and Machine Learning, Lecture Notes in Networks and Systems, Vol. 302. Springer.
Mohanty, P., Sahoo, J. P., & Nayak, A. K. (2022). Voiced Odia digit recognition using convolutional neural network. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2021, pp. 161–173. Springer.
Nayak, M. R., Sahoo, D. K., Sahoo, J. P., Satapathy, L. M., & Dev, P. P. (2021). An enhanced dynamic image watermarking framework based on phase congruency and saliency. In Proceedings of the International Conference on Advances in Power, Signal, and Information Technology (APSIT). IEEE.
Swain, S., Sahoo, J. P., & Tripathy, A. K. (2020). Power allocation-based QoS guarantees in millimeter-wave-enabled vehicular communications. In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2020, pp. 35–43. Springer.
Mondal, S. K., Pei, Y., Dai, H. N., Kabir, H. M. D., & Sahoo, J. P. (2020). Boosting UI rendering in Android applications. In IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C).
Dash, S. K., Sahoo, J. P., Mohapatra, S., & Pati, S. P. (2012). Sensor-cloud: Assimilation of wireless sensor network and the cloud. In International Conference on Computer Science and Information Technology, pp. 455–464. Springer.
Sahoo, J. P., Mohapatra, S., & Lath, R. (2010). Virtualization: A survey on concepts, taxonomy and associated security issues. In Second International Conference on Computer and Network Technology. IEEE.

Edited Books

Kar, B., Tripathy, A. K., Teng, W.-C., Sahoo, J. P., & Obaidat, M. S. (Eds.). (2025). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2025. Springer. [ISBN: 978–981–96–6720–8, 978–981–96–6718–5] [Vol 1 and Vol 2]. https://link.springer.com/book/10.1007/978-981-96-6718-5
Nanda, U., Tripathy, A. K., Sahoo, J. P., Sarkar, M., & Li, K. C. (Eds.). (2024). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2024. Springer. [ISBN: 978–981–97–1841–2, 978–981–97–3523–5] [Vol 1 and Vol 2]. https://www.springer.com/gp/book/9789811648069
Chinara, S., Tripathy, A. K., Li, K.-C., Sahoo, J. P., & Mishra, A. K. (Eds.). (2023). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2023. Springer. [ISBN: 978–981–99–1203–2]. https://www.springer.com/gp/book/9789811648069
Rout, R. R., Ghosh, S. K., Jana, P. K., Tripathy, A. K., Sahoo, J. P., & Li, K.-C. (Eds.). (2022). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2022. Springer. [ISBN-13: 978–9811910173]. https://www.springer.com/gp/book/9789811648069
Sahoo, J. P., Tripathy, A. K., Mohanty, M., Li, K.-C., & Nayak, A. K. (Eds.). (2021). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2021. Springer. [ISBN: 978–981–16–4807–6]. https://link.springer.com/book/10.1007/978-981-16-4807-6
Tripathy, A. K., Sarkar, M., Sahoo, J. P., Li, K.-C., & Chinara, S. (Eds.). (2020). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2020. Springer. [ISBN: 978–981–15–4217–6]. https://link.springer.com/book/10.1007/978-981-15-4218-3

Conference Services

  • Publication Chair, 7th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2026), January 15–16, 2026 · icadcml.org
  • Publication Chair, 6th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2025), January 9–10, 2025 · icadcml.org
  • Program Chair, 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2024), January 5–6, 2024 · icadcml.org
  • Publication Chair, 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2023), January 15–16, 2023 · icadcml.org
  • Publicity Chair, IEEE–MLCSS–2022, August 5–6, 2022 · mlcss2022.soa.ac.in
  • Steering Committee, ICADCML–2022, January 15–16, 2022 · icadcml.in
  • Convenor, ICADCML–2021, January 15–16, 2021 · icadcml.in
  • Web Chair, 20th IEEE–ICDM 2020 Workshop on Deep Data Intelligence for Finance (DDIF–2021), November 17–20, 2021 · Link

Technical Expertise

  • Quantum ML (PennyLane, Qiskit)
  • LLMs & RAG (Ollama, LangChain, LlamaIndex)
  • ML/DL (PyTorch, TensorFlow)
  • Cloud (GCP, AWS), Docker, Kubernetes
  • Programming: Python, Java, C++
  • Databases: Oracle, MySQL, MongoDB

Recent Subjects Taught

  • Even Sem. 2022–2024: CS3817304 Introduction to Information Security as TA (NTUST)
  • Odd Sem. 2022–2024: CS3806301 Advanced Computer Networks as TA (NTUST)
  • Odd Sem. 2021–2022: Linux System Administration 2, Web Design Projects (SOADU)
  • Even Sem. 2020–2021: Enterprise Computing with JAVA (SOADU)
  • Odd Sem. 2020–21: Linux System Administration 2 (SOADU)
  • Even Sem. 2016–2020: Data Structure & Algorithms (Java) (SOADU)
  • Odd Sem. 2016–2020: Introduction to Computer Programming (Java) (SOADU)

Invited Talks

  • Workshop “Demystifying DevOps with Docker and Kubernetes” at VIT University, India, during ICADCML–2020, January 30, 2020.
  • “Text Sentiment Analysis” at KIIT University, India, during GDG–Machine Learning Summit–2017, February 19, 2017.

Professional Memberships

  • Senior Member, IEEE (SMIEEE)
  • Member, IAENG
  • Member, IACSIT

“Wonder is the beginning of wisdom.” — Socrates.