Latest News

  • [August, 2026] The paper "Privacy-Preserving and Explainable Fetal Health Prediction from Cardiotocography Using Synthetic Data and Transformer-Based Federated Learning" was accepted for publication in Biomedical Signal Processing and Control (Elsevier) Q1, IF 5.7.
  • [August, 2026] Joined the College of Electrical Engineering and Computer Science (EECS), National Taiwan University of Science and Technology (NTUST), as an Assistant Professor (Project).
  • [July, 2026] The paper "Hybrid Quantum-MambaVision: A Quantum-Enhanced State Space Model for Calibrated Mixed-Type Wafer Defect Detection" was published in Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2026).
  • [February, 2026] The paper "SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov-Arnold Network Experts for FL-IDS in Edge-IIoT" was accepted for publication in IEEE Open Journal of the Communications Society (OJCOMS) (IEEE) Q1, IF 6.1.
  • [November, 2025] Selected as a recipient of the 2025 CTCI Foundation Science and Technology Scholarship – Research Scholarship for Overseas Students.

Professional Bio

Dr. Jyoti Prakash Sahoo, Ph.D., SMIEEE, is an Assistant Professor in the College of Electrical Engineering and Computer Science (EECS) at National Taiwan University of Science and Technology (Taiwan Tech). His research focuses on Quantum AI and Cybersecurity, more specifically on federated learning, quantum-classical machine learning, and trustworthy AI for edge-IoT security.

He served as an Assistant Professor at the Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University) starting from August 2010. He was on study leave to pursue his Ph.D. at NTUST. He actively collaborates with leading research groups, including the Scalable Adaptive Yet Efficient Distributed (SAYED) Systems Group at Queen Mary University of London and the Quantum Research Lab at Taiwan Tech.

With expertise in edge computing and machine learning, he serves on the editorial and reviewer boards of multiple journals and conferences. He has held key leadership roles such as Publicity Chair, Web Chair, Organizing Secretary, and Technical Program Committee Member for national and international conferences. As a WIPRO Certified Faculty, he has driven industry-academia collaboration, student enablement, and innovative teaching methodologies. He is also a recipient of the prestigious CTCI Foundation Research Scholarship 2025.

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, D. K., Mohapatra, S., & Sahoo, J. P. (2026). Privacy Preserving and Explainable Fetal Health Prediction from Cardiotocography using Synthetic Data and Transformer-Based Federated Learning. Biomedical Signal Processing and Control. [ACCEPTED AUG 2026 (To appear)] (Q1, Impact Factor: 5.7)
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: 6.2)
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: 17.4)
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: 4.7)
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: 30.4)
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: 5.9)
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. https://arxiv.org/abs/2605.16404 (June 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

Mishra, A. K., Tripathy, A. K., Sahoo, J. P., Pradhan, J., & Li, K.-C. (Eds.). (2026). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2026 . Springer Cham. [ISBN: 978-3-032-25079-7, 978-3-032-25080-3] https://doi.org/10.1007/978-3-032-25080-3
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

  • Session Chair, PAKDD 2026 (The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining), Session: "Federated Learning and Prompt Engineering", June 9–12, 2026, Hong Kong · pakdd2026.org
  • Session Chair, PAKDD 2026 (The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining), Session: "Few-Shot Learning, Ranking and Human-in-the-Loop", June 9–12, 2026, Hong Kong · pakdd2026.org
  • Publication Chair, 7th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2026), January 15–16, 2026 · icadcml.in
  • Publication Chair, 6th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2025), January 9–10, 2025 · icadcml.in
  • Program Chair, 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2024), January 5–6, 2024 · icadcml.in
  • Publication Chair, 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML–2023), January 15–16, 2023 · icadcml.in
  • 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.