Dr. Nandkishor P Karlekar
Maharashtra Institute of Technology - Art, Design and Technology University, MGMCET Navimumbai, Sinhgad Institute of Technology Lonavala Department of Computer Engineering
0009-0009-8046-6452
About
Dr. Nandkishor P. Karlekar is an Associate Professor in the School of Computing at MIT-ADT University with over 22 years of teaching and academic experience in Computer Engineering and Artificial Intelligence. He completed his Ph.D. in Computer Engineering from Vel Tech University, Chennai, in 2020. His areas of expertise include Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Biometrics Security, and Big Data Analytics. He has published several research papers in reputed international journals and conferences, along with patents in AI, Brain-Computer Interface Systems, and IoT-based applications. Dr. Karlekar is an IEEE member and actively contributes as a Research Supervisor, Reviewer, Session Chair, and Resource Person in various academic and research activities. He currently serves as Program Head of the CSE (Artificial Intelligence & Analytics) Department at MIT-ADT University.
Employment
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Maharashtra Institute of Technology - Art, Design and Technology University Associate Professor2024 - Present
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MGMCET Navimumbai Associate Professor2021 - 2024
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Sinhgad Institute of Technology Lonavala Department of Computer Engineering Assistant Professor2013 - 2021
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Vasantdada Patil Pratishthan's College of Engineering & Visual Arts Assistant Professor2005 - 2013
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BVIT Navimumbai Lecturer2002 - 2005
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- A Linear Swarm – Based Intelligence for Resource Allocation and Fault Prediction in Cloud Save
- Driving Training- Based Optimization-Enable Key Generation Approach for Secure and Efficient Authentication with Data Sharing Approach in IOT Healthcare Save
- Quantum Machine Learning Algorithms for Optimization Problems Save
- Online Voting System using Blockchain Technology Save
- Different Sectors of Machine Learning and AI Save
- Stock Market and Trading Algorithmic Improve Using Machine Learning Programming. Save
- COMPARE MACHINE LEARNING VALIDATION TECHNIQUES AND ESTIMATE EVALUATION PERFORMANCE USING SOIL ENZYME ACTIVITY AND SUGGESTED CROPS Save
- Deep learning-based solar activity prediction using sunspot number and solar radio flux Save
- Deep CNN based video object recognition and retrieval in E-learning platform by Holoentropy weighted query specific distance Save
- Ontology and Hybrid Optimization Based SVNN for Privacy Preserved Medical Data Classification in Cloud Save