Lowlesh Yadav
Suryodaya College of Engineering and Technology, Tulsiramji Gaikwad Patil College of Engineering and Technology, Linclon University, Malaysia, Kalinga University
0000-0002-5489-5730
About
Dr. Lowlesh Yadav is a dedicated academician with over 14 years of experience in teaching, research, and academic leadership. He is currently serving as Associate Professor and Head of the Department of Computer Engineering at Suryodaya College of Engineering & Technology, Nagpur (An Autonomous Institution). His research interests include IoT, IoHT, IoMT, telehealthcare, data science, AI, ML, deep learning, and computer networks. He has published and guided more than 75 research papers in reputed journals and conferences and serves as a reviewer for Springer Nature and other peer-reviewed journals. In his previous tenure, Dr. Yadav held multiple key positions, including Vice Principal and Dean of IQAC, where he contributed significantly to institutional development and quality enhancement. A member of the Governing Body of the college, he has chaired several technical sessions, organized FDPs and STTPs, and received multiple awards for teaching excellence. Dr. Yadav continues to promote innovation, research, and quality education in engineering.
Employment
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Suryodaya College of Engineering and Technology Associate Professor and Head of Department2025 - Present
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Tulsiramji Gaikwad Patil College of Engineering and Technology Associate Professor and Head of Department2024 - 2025
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Shri Sai College of Engineering and Technology Vice Principal2012 - 2024
Education
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Linclon University, Malaysia Post Doctroal in CSE2025 - 2026
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Kalinga University PhD (Doctor of Philosophy)2020 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (59)
- A Multi-Agent GenAI Framework for Ethical Cloud Security Automation Save
- Mathematical Analysis of Predictive Maintenance Strategies for Enhanced Manufacturing Efficiency Save
- The First-in-Class SIK3 Inhibitor O3R-5671 Demonstrates Optimal Pharmacokinetics and Potent and Sustained Pharmacodynamic Activity in Human Participants Save
- Techno-Economic Evaluation and Environmental Impact Analysis of Sustainable Energy Systems Using Power to X Technologies Save
- Sustainable Model for Optimization of Power Operation of Photovoltaic System with Zeta Converter Based on Hybrid Machine Learning Techniques Save
- Stochastic interpretable machine learning-based multi-scale modeling of nanomaterial reinforced concrete with carbon nanotubes and nano-silica for enhanced structural performance Save
- Multi-property performance prediction of nano-material-enhanced recycled aggregate sustainable concrete: application of next-generation artificial intelligence techniques Save
- Multi-objective optimization for sustainability-based design of non-prismatic reinforced concrete structures Save
- Multi-Label Classification of Comorbidities in Diabetes Using Beta Ant Colony Optimization Save
- Metaheuristic-trained adaptive activation neural networks for reliable buckling resistance prediction of high strength steel columns Save