Mr. Vikram S. Gavali
Head Of Department,
Artificial Intelligence and Machine Learning,
New Institute Of Technology, Kolhapur.
M.Tech (CST), BE (E&TC)
Experience: 14 Years 5 Months
Specialisation: Wireless Communication, Machine Learning Algorithms
Mobile No- 9657242994
Email- vikram25g@gmail.com
About Mr. Vikram S. Gavali
Mr. Vikram S. Gavali is the Head of the Department of Artificial Intelligence and Machine Learning at the New Institute of Technology, Kolhapur. With 14 years and 5 months of experience in the field of education and technology, he has established himself as a knowledgeable and dedicated professional in the area of artificial intelligence and machine learning.
He holds an M.Tech in Computer Science and Technology (CST) and a Bachelor’s degree in Electronics and Telecommunication (E&TC). His academic background and technical expertise enable him to specialize in Wireless Communication and Machine Learning Algorithms. These fields are integral to the development of modern communication systems and the advancement of AI technologies.
Workshop / FDP/ Training Programme
- Innovative Practices in Teaching Learning Process
- Artificial Intelligence & Machine Learning
- Application of Machine Learning Techniques in Sustainable Technologies
- Data Analytics using Python, SQL and Power Bi
- Deep Learning Solutions in Healthcare
- Mastering Modern Deep Learning and Data Science
- IoT with Artificial Intelligence & Machine Learning
- Systems and usable security.
- Advanced AI and ML Techniques for Cyber Security and Digital Forensics
- AI/ML based Controllers Design and their Applications in Real-time Platform
- Recent Technological Innovations in Computer Science & Engineering
- Generative AI Mastery: From Foundation to Applications
- Next Generation Algorithms and Technological Advances
- Principles, Techniques And
- Perspectives On Optimization Techniques In Engineering Applications And Future Trends
- Data to Dashboard : Mastering Visual Storytelling with Tableau
- National Intellectual Property Awareness mission
Articles in Journals (National / International)
- Gavali, V. S., and J. K. Patil. “A study of RSS based vertical handover decision algorithms.” International Journal of Engineering Research & Technology (IJERT) 4.2 (2015): 825-827.
- Gavali V S; H. P, Khandagale (2025), “Soybean Leaf Diseased Images”, Mendeley Data, V1, doi: 10.17632/r2yp8wy45f.1
- P. Khandagale, Sangram Patil, V. S. Gavali, S. V. Chavan, P. P. Halkarnikar, Prateek A. Meshram (2025). “Design and implementation of FourCropNet: a CNN-Based system for efficient Multi-Crop disease detection and management.” Journal of Information Systems Engineering & Management, 10(7s), 461–471.
- Khandagale, H. P.; Patil, S T ; Patil, J B ; Vikram Sampat, Gavali (2025), “Soybean Healthy and Diseased Images Dataset”, Mendeley Data, V1, doi: 10.17632/w8vm4mm8t4.1
Copyrights
- Brain Haemorrhage Detection Device based on Machine Learning.
