Dr. Jayesh Gangrade
Editorial Board Member
Name: Dr. Jayesh Gangrade
Affiliation:
Associate Professor, Department of Computer Science & Engineering / Artificial Intelligence & Machine Learning,
SVKM’s NMIMS (Indore Campus), Indore, Madhya Pradesh, India
Address:
Bada Bangarda, Tehsil - Hatod, District ,
Indore, Madhya Pradesh
Pin - 453112.
Email: ✉️ [email protected]
Academic Profiles:
Professional Overview
Dr. Jayesh Gangrade is an accomplished academic and researcher specializing in Artificial Intelligence, Machine Learning, and Computer Vision. With extensive experience in higher education and applied research, he contributes actively to teaching, curriculum development, research supervision, and interdisciplinary innovation in advanced computing domains.
His research work emphasizes intelligent systems, deep learning models, biomedical image analysis, and real-world AI applications. He has published scholarly research in peer-reviewed journals and conferences and continues to promote research-driven and industry-aligned education.
Research Interests
- Artificial Intelligence & Machine Learning
- Deep Learning and Neural Networks
- Computer Vision and Image Processing
- Biomedical Image Analysis
- Pattern Recognition
- Data Analytics and Intelligent Systems
- Applied AI for Real-World Engineering Applications
Education
Doctor of Philosophy (Ph.D.) in Computer Science & Engineering
Specialization: Deep Learning & Computer Vision
Master’s Degree (M.Tech / M.E.) in Computer Science & Engineering
Academic & Professional Experience
Dr. Gangrade currently serves as an Associate Professor at SVKM’s NMIMS, Indore Campus, where he teaches undergraduate and postgraduate courses in Artificial Intelligence, Machine Learning, and Computer Science. He actively supervises student research projects, mentors innovation initiatives, and contributes to academic quality enhancement.
His professional journey reflects a strong commitment to academic excellence, research publication, interdisciplinary collaboration, and advancement of intelligent computational systems for societal and industrial applications.
Last Updated: 23 January 2026