Dr. Syed Muzamil Basha

Dr. Syed Muzamil Basha

Professor | Senior IEEE Member | Lifetime ISTE Member

School of Computer Science & Engineering, REVA University

Leading researcher and educator in Artificial Intelligence, Machine Learning, and Deep Learning with 85+ publications, 2,187 citations (H-index: 27), 10+ patents, and a passion for innovative educational technology. Committed to advancing AI education through experiential learning platforms.

85+

Publications

2,187

Citations

27

H-Index

50

i10-Index

10+

Patents

20+

Books & Chapters

Professional Memberships

Senior IEEE Member

Institute of Electrical and Electronics Engineers

Lifetime ISTE Member

Indian Society for Technical Education

ACM Professional Member

Association for Computing Machinery

Contact Information

Institution

REVA University

School of Computer Science & Engineering

Address

Rukmini Knowledge Park, Kattigenahalli
Yelahanka, Bengaluru, Karnataka 560064
India

Phone

+91 8331977568
+91 7259421438

Research Areas

Artificial IntelligenceMachine LearningDeep LearningPattern RecognitionComputer VisionNatural Language ProcessingEducational TechnologyAI in Agriculture

Key Achievements

Research Publications

Published 85+ papers in refereed international conferences and journals

Intellectual Property

Applied for or granted 10+ patents in AI and ML domains

Academic Contributions

Author/Editor of 20+ book chapters and textbooks on AI, ML, and Deep Learning

Teaching Excellence

Developed innovative virtual labs for experiential AI education

Research Impact

Total Citations2,187
Citations (Since 2021)1,854
H-Index27
H-Index (Since 2021)23
i10-Index50
i10-Index (Since 2021)43

Educational Contributions

AI Virtual Lab Platform

Developed comprehensive virtual labs for CNN, SVM, Decision Trees, Naive Bayes, and Random Forest algorithms

Textbook Author

Authored textbooks on Artificial Intelligence, Pattern Recognition, Machine Learning, and Deep Learning

NEP 2020 Alignment

Pioneering experiential learning approaches aligned with National Education Policy 2020

Publication Highlights

Refereed Conferences & Journals

85+ papers published in prestigious international venues covering AI, ML, Deep Learning, and Pattern Recognition

Book Chapters & Textbooks

20+ contributions including comprehensive textbooks on AI fundamentals, Machine Learning algorithms, and Deep Learning architectures

Patents & Innovations

10+ patents applied for or granted in cutting-edge AI and ML applications, demonstrating practical innovation

Advancing AI Education Through Innovation

Committed to making AI and Machine Learning accessible to students through experiential learning platforms, comprehensive research, and innovative teaching methodologies.