Dr. N S KOTI MANI KUMAR TIRUMANADHAM
VIT-AP University, Sir C R Reddy College of Engineering, Bharath Institute of Higher Education and Research, Jawaharlal Nehru Technological University, Kakinada, Sri Vasavi Engineering College
0000-0003-3900-1900
About
**Dr. N. S. Koti Mani Kumar Tirumanadham** is currently working as an **Assistant Professor (Senior Grade-I)** in the School of Computer Science and Engineering at **VIT-AP University, Amaravati, Sakhamuru, Andhra Pradesh, India**. He received his Ph.D. in Computer Science and Engineering from Bharath University, Chennai, in 2025. He completed his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Jawaharlal Nehru Technological University Kakinada (JNTUK) with First Class with Distinction.
Dr. Kumar has around nine years of teaching and research experience in the field of Computer Science and Engineering. Prior to joining VIT-AP University, he served as an Associate Professor in the Department of Computer Science and Engineering at Sir C. R. Reddy College of Engineering, Eluru, Andhra Pradesh. His teaching interests include C Programming, Java Programming, Python Programming, Computer Networks, Machine Learning, and Data Analytics.
His research interests encompass Machine Learning, Feature Selection, Ensemble Learning, Explainable Artificial Intelligence (XAI), Intrusion Detection Systems, Cybersecurity, and Data-Driven Intelligent Systems. He is currently pursuing advanced research in optimization-driven machine learning models, hybrid ensemble techniques, and explainable AI frameworks for real-world applications.
Dr. Kumar has published more than 30 research papers in SCI, ESCI, and Scopus-indexed journals and reputed international conferences. His publications have received over 600 citations on Google Scholar, with an h-index of 14. He has also authored two books on C Programming and contributed chapters to internationally published edited volumes.
He actively contributes to the academic community as a reviewer for several international journals published by Springer, Elsevier, and other reputed publishers, including journals indexed in the Science Citation Index (SCI). He has participated in various national and international conferences, workshops, and faculty development programs related to artificial intelligence, machine learning, and cybersecurity.
Dr. Kumar is a professional member of IEEE and the International Association of Engineers (IAENG). He is committed to advancing research, innovation, and academic excellence in the areas of Artificial Intelligence, Machine Learning, Explainable AI, Cybersecurity, and Intelligent Data Analytics.
Employment
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VIT-AP University Assistant Professor Sr. Grade12026 - Present
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Sir C R Reddy College of Engineering Associate Professor2017 - 2026
Education
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Bharath Institute of Higher Education and Research Ph.D.2021 - 2025
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Jawaharlal Nehru Technological University, Kakinada M.Tech2013 - 2015
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Sri Vasavi Engineering College B.Tech2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (34)
- Unifying Data Refinement and Fusion Strategies: A Cutting-Edge Methodology for E-Learning Performance Optimization Save
- CrossMF: A Memory-Augmented Transformer for Fast and Generalizable Emotion Recognition Save
- Optimizing Intrusion Detection with Triple Boost Ensemble for Enhanced Detection of Rare and Evolving Network Attacks Save
- Towards Smarter E-Learning: Real-Time Analytics and Machine Learning for Personalized Education Save
- SGB-IDS: A SWARM GRADIENT BOOSTING INTRUSION DETECTION SYSTEM USING HYBRID FEATURE SELECTION FOR ENHANCED NETWORK SECURITY Save
- Optimizing Lung Cancer Prediction Models: A Hybrid Methodology Using GWO and Random Forest Save
- Optimizing House Price Prediction Models: A Hybrid Approach using GWO-Feature Selection and CatBoost Tuning Save
- Optimizing Diabetes Diagnosis: HFM with Tree-Structured Parzen Estimator for Enhanced Predictive Performance and Interpretability Save
- Enhancing Student Performance Prediction using E-Learning through Multimodal Data Integration and Machine Learning Techniques Save
- Enhancing Student Performance Prediction in E-Learning Environments: Advanced Ensemble Techniques and Robust Feature Selection Save