Dr. N.K.Senthil kumar

About

Dr. N. K. Senthil Kumar is a Professor in the Department of Computer Science and Engineering at the School of Computing, with over 17 years of academic experience. He holds a Ph.D. in Computer Science and Engineering, along with M.E. and B.Tech degrees in related disciplines. His areas of specialization include Machine Learning, Deep Learning, Data Science, Computer Vision, IoT, and Expert Systems. He has published extensively with over 30 journal papers, several book chapters, and international conference contributions, and has guided numerous undergraduate, postgraduate, and doctoral research scholars. Actively involved in academic administration and research activities, he has received awards such as Best Result Producer and Best Publisher, secured research funding as Principal Investigator, and contributed as a reviewer, session chair, and resource person in various national and international academic forums.

Employment

• Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Professor
  2009 - Present
• Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Professor
  2009 - Present

Education

• Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology M.E.,Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• A Strategic Approach to DiseaseDiagnosis and Prognosis of Pancreatic Cancer Using Machine Learning
  2026 DOI: 10.1007/978-3-032-10664-3_14
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• Advance Real-Time System for Criminal Identification Using Facial Recognition
  De Gruyter Proceedings in Mathematics 2026 DOI: 10.1515/9783112221082-051
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• Crime Scene Anomaly Prediction Using Generative Adversarial Networks
  De Gruyter Proceedings in Mathematics 2026 DOI: 10.1515/9783112221082-052
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• Efficient Computer Vision Model for Early Diagnosis of Type 2 Diabetes Mellitus Using CNN and SVM Techniques
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-8309-3_3
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• A STRATEGIC APPROACH TO PATIENT DIAGNOSIS AND PROGNOSIS OF PANCREATIC CANCER USING DEEP ECHO STATE NETWORK WITH CATCH FISH OPTIMIZATION ALGORITHM
  Biomedical Engineering: Applications, Basis and Communications 2026 DOI: 10.4015/S1016237225500401
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• Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection
  Scientific Reports 2025 DOI: 10.1038/s41598-025-03864-1
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• IoT-Driven Agricultural Monitoring Architecture with Novel Light Machine Learning for Enhanced Precision Crop Health Analysis
  Smart Innovation Systems and Technologies 2025 DOI: 10.1007/978-981-97-8355-7_28
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• Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network
  Scientific Reports 2025 DOI: 10.1038/s41598-025-04381-x
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• A Model for Predicting Chronic Kidney Diseases Based on Medical Data Using Reinforcement Learning
  SN Computer Science 2024 DOI: 10.1007/s42979-024-02665-z
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• Analysis of COVID-19 Datasets Using Statistical Modelling and Machine Learning Techniques to Predict the Disease
  SN Computer Science 2024 DOI: 10.1007/s42979-023-02464-y
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