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Dr. Bidyapati Thiyam

Assistant Professor, School of Computing, Amaravati

Qualification: Ph.D , M.Tech, B.Tech
t_bidyapati@av.amrita.edu
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Research Interest: Machine Learning and AI, Healthcare Analytics, Cybersecurity, Network Security, and Intrusion Detection Systems

Bio

Dr. Bidyapati Thiyam currently serves as an Assistant Professor in the School of Computing, Amaravati Campus. She completed her M.Tech in Computer Network & Engineering from B.M.S. College of Engineering, Bengaluru and received her Ph.D. in 2025 from the National Institute of Technology Nagaland. Her research interests include Machine Learning and Artificial Intelligence, Healthcare Analytics, Cybersecurity, Network Security, and Intrusion Detection Systems.

Publications

Conference Paper

Year : 2026

Improving Rare Cyber-Attack Detection Using Hybrid Ensemble Learning for Intelligent Intrusion Detection System

Cite this Research Publication : Bandla Ramesh, Bidyapati Thiyam, Improving Rare Cyber-Attack Detection Using Hybrid Ensemble Learning for Intelligent Intrusion Detection System, 2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), IEEE, 2026, https://doi.org/10.1109/icsccc69031.2026.11599992

Publisher : IEEE

Year : 2025

Stacked Artificial Neural network (SANN) for Intrusion Detection System

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, Stacked Artificial Neural network (SANN) for Intrusion Detection System, 2025 IEEE Silchar Subsection Conference (SILCON), IEEE, 2025, https://doi.org/10.1109/silcon67893.2025.11327132

Publisher : IEEE

Year : 2023

Hyperparameter Tuning for Edge-IIoT Intrusion Detection Using SMOTE

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, Hyperparameter Tuning for Edge-IIoT Intrusion Detection Using SMOTE, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-99-2100-3_32

Publisher : Springer Nature Singapore

Year : 2023

Efficient Feature Evaluation Approach for a class-imbalanced dataset using Machine learning

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, Efficient Feature Evaluation Approach for a class-imbalanced dataset using Machine learning, International Conference on Machine Learning and Data Engineering, University of Petroleum and Energy Studies, Dehradun, , 2520-2532, , 2022-09- 07 https://doi.org/10.1016/j.procs.2023.01.226

Publisher : Elsevier BV

Book Chapter

Year : 2025

Class‐Imbalanced Problems in Malware Analysis and Detection in Classification Algorithms

Cite this Research Publication : Bidyapati Thiyam, Chadalavada Suptha Saranya, Shouvik Dey, Class‐Imbalanced Problems in Malware Analysis and Detection in Classification Algorithms, [source], Wiley, 2025, https://doi.org/10.1002/9781394230600.ch4

Publisher : Wiley

Journal Article

Year : 2024

An improved deep autoencoder-based network intrusion detection system with enhanced performance

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, An improved deep autoencoder-based network intrusion detection system with enhanced performance, International Journal of Internet Technology and Secured Transactions, Inderscience Publishers, 2024, https://doi.org/10.1504/ijitst.2024.136658

Publisher : Inderscience Publishers

Year : 2024

CIIR: an approach to handle class imbalance using a novel feature selection technique

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, CIIR: an approach to handle class imbalance using a novel feature selection technique, Knowledge and Information Systems, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s10115-024-02126-2

Publisher : Springer Science and Business Media LLC

Year : 2023

Statistical methods for feature selection: unlocking the key to improved accuracy

Cite this Research Publication : Bidyapati Thiyam, Shouvik Dey, Statistical methods for feature selection: unlocking the key to improved accuracy, International Journal of Computers and Applications, Informa UK Limited, 2023, https://doi.org/10.1080/1206212x.2023.2223795

Publisher : Informa UK Limited

Papers Presented
  • Hrishikesh Harnoor, K. Sai Nikhila, K. Shiva Karthik Reddy, Bidyapati Thiyam, “A Fully Unsupervised Temporal Convolutional Autoencoder for IoT Intrusion Detection”, IEEE Conference on Intelligent Electronics and Computational System (IECS2026), VIT Bhopal University,Madhya Pradesh, India. ( 17-18 July 2026). ( IEEE)
  • Sampath Sai Surisetti, Mohith Uppu, Narendra Gude, Bidyapati Thiyam, “ DETECTEXFIL: A Domain-Adversarial Framework for Robust IoT Data Exfiltration Detection” , IEEE Conference on Intelligent Electronics and Computational System (IECS2026), VIT Bhopal University,Madhya Pradesh, India. ( 17-18 July 2026). ( IEEE)
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