KOTTEESWARAN
St.Joseph's College of Engineering, Anna University Chennai, National Institute of Technical Teachers' Training and Research Chandigarh, Arulmigu Meenakshi Amman College of Engineering
0000-0002-7891-6612
About
Dr. R. Kotteeswaran, Associate Professor in the Department of Artificial Intelligence and Data Science at St. Joseph’s College of Engineering, holds an M.E. and Ph.D., and brings over 21 years of academic and research experience since joining the institution in 2005. His areas of specialization include Engineering Optimization and Control Systems. He has handled subjects such as Foundations of Machine Learning, System Identification, Advanced Control Theory, and Biomedical Instrumentation. A prolific researcher, Dr. Kotteeswaran has published extensively in reputed Scopus-indexed journals and international conferences, with notable contributions in climate dynamics, neural networks, and control systems for nonlinear multivariable processes. He is also an inventor, with multiple Indian patents published in areas such as deep learning applications for agriculture and public safety, IoT-based traffic monitoring, and industrial automation. Furthermore, he has completed numerous NPTEL certifications in areas like Deep Learning, Machine Learning, and Control Engineering. As a dedicated academic, he serves as a reviewer for leading international journals from Elsevier, Springer, and SAGE, contributing to the peer review process in fields spanning artificial intelligence, systems engineering, and biomedical systems.
Employment
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St.Joseph's College of Engineering Associate Professor2005 - Present
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St.Joseph's College of Engineering Associate Professor2005 - Present
Education
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Anna University Chennai Ph.D.,2009 - 2015
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National Institute of Technical Teachers' Training and Research Chandigarh M.E.,2001 - 2003
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Arulmigu Meenakshi Amman College of Engineering B.E.,1995 - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- Enhanced Load Forecasting and Energy Management in Grid-Connected Smart Grid Systems through the Integration of Improved Wasserstein Generative Adversarial Network and Archerfish Hunting Optimizer Save
- Enhancing Classification Performance in Breast Tissue Diagnosis Using TPE-Based Hyperparameter Optimization Save
- Leveraging AI to Promote Sustainable Energy Distribution Save
- Machine Learning for Classification of Diabetic Foot Ulcer using Thermograms Save
- A Smart and Intelligent Robotic Design to Rescue Human from Disaster Conditions Using Artificial Intelligence Assistance Save
- ELNN: A Novel Approach to Identify Periodontal Disease From Panoramic Radiographs in Earlier Stages Using Enhanced Logical Neural Networks Save
- Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes Save
- Experimental Evaluation of Artificial Intelligence Enabled Hate Speech Recognition over Social Network Platform using Enhanced Learning Approach Save
- Cutting-Edge Climate Analysis: Combining MLP-GRU and Remote Sensing Technologies Save
- Predicting Depression Among Students On Entrance Exams Using An Optimised Deep Learning Approach Save