Dr. Shailesh Gahane
Parul College of Engineering IT and CS Parul University Goa, Eclerx Services Ltd, Pune, Datta Meghe Institute of Higher Education and Research, Rashtrasant Tukadoji Maharaj Nagpur University
About
I am an academician and IT professional with 17 years of total experience, comprising 14 years in academia and 3 years in the corporate sector. I am currently working as an Assistant Professor and have been entrusted with the additional responsibility of Programme Incharge for the Department of Information Technology & Computer Science at Parul College of Engineering, IT & CS, Parul University, Goa.
I hold a Ph.D. in Computer Science (2024) from Datta Meghe Institute of Higher Education and Research, Wardha. My doctoral research focused on the development of a cloud-based decision support system for child healthcare monitoring. I also hold a Master of Computer Applications (MCA) and a Bachelor of Science in Computer Science.
My teaching experience spans regular, distance, and online education modes, with expertise in delivering courses such as Java Programming, Web Development, Cloud Computing, Data Science Essentials, Mobile Application Development, Database Management Systems, Software Engineering, and Emerging Technologies. Throughout my academic career, I have undertaken several leadership and administrative roles, including Head of the MCA Department, Programme Coordinator, College Examination Officer (SPPU), AICTE and UGC Compliance Coordinator, and currently Programme Incharge for the Department of IT & CS.
My research contributions include 76 publications in Scopus and PubMed-indexed journals, 8 authored and edited books, 1 design patent, and 2 copyrights. I have also been recognized with several Best Teacher Awards and Academic Excellence Awards for my contributions to teaching, research, and academic administration. Additionally, I have been recognized as a Ph.D. Supervisor in Computer Science.
Prior to my academic career, I gained valuable industry experience at eClerx Services Limited and OrisonWeb Solutions, where I worked on enterprise-level web and database applications. My core areas of expertise include Cloud Computing, Healthcare Information Systems, Database Management Systems, Data Science, Enterprise Reporting, Software Testing, Application Development, and Artificial Intelligence. I remain committed to fostering academic excellence, promoting outcome-based education, and contributing to impactful research and innovation in the field of Computer Science and Information Technology.
Employment
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Parul College of Engineering IT and CS Parul University Goa Assistant Professor, Program Incharge2026 - Present
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Orrisonweb Solutions SQL Analyst2009 - 2010
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Eclerx Services Ltd, Pune
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Dr. D.Y.Patil School of MCA, Pune Assistant Professor
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Sandip University, Nashik Assistant Professor
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Institute of Computer Studies, Pune Assistant Professor
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Faculty of Science & Technology, SAS, Wadha Assistant Professor
Education
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Datta Meghe Institute of Higher Education and Research Ph.D2021 - 2024
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Rashtrasant Tukadoji Maharaj Nagpur University MCA2006 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (81)
- A Comprehensive Review and Future Directions on Hybrid Detection Models for Phishing Websites Save
- A Comparative Review of Support Vector Machines and Neural Networks for Early Prediction of Chronic Kidney Disease Save
- Transforming Public Transport Through RFID and NFC: An Approach for Security, Scalability and User Centricity Save
- The Use of AI Technology for Optimization of Online ID Card Generating System for Schools Save
- The Study of Security of Online Examination Mode of Assessment: A Survey of Two Universities in Africa and Asia Save
- The Role of Cloud Computing in Enhancing Collaborative Learning in Higher Education Save
- The Impact of HR Analytics and Performance Management Systems in Wipro Limited Pune Save
- Techniques and Best Practices for Creating Accessible Websites and Applications Save
- Survey on Prediction of Bipolar Disorder Using CNN and LSTM Save
- Recent Advances in Deep Learning for Oral Cancer Identification and Classification Save