Prof. Dr H Anwer Basha
RAAK ARTS AND SCIENCE COLLEGE & RAAK INSTITUTE OF HOTEL MANAGEMENT AND CATERING TECHNOLOGY, Saveetha college of liberal arts and Sciences Saveetha Deemed University, Jeppiaar Educational Trust
0009-0002-3900-6023
About
A Visionary in Computer Science: Dr. H. Anwer Basha Leads Academic Excellence at RAAK Arts and Science College Perambai, Villupuram – April 30, 2025: In the ever-evolving field of computer science, Dr. H. Anwer Basha stands as a paragon of academic brilliance, research innovation, and educational leadership. Currently serving as the Principal and Professor in the Department of Computer Science at RAAK Arts and Science College, Perambai, Dr. H Anwer Basha’s contributions to academia span over two decades and have significantly shaped the careers of countless students and scholars.
A Ph.D. holder in Computer Science from Annamalai University, Dr. H Anwer Basha is a recognized Ph.D. Research Supervisor at Saveetha Deemed University and Co-Supervisor at Hindustan University, Chennai. His research interests include Ad Hoc Communication, Wireless Networks, and Sensor Networks, areas vital to the development of next-generation communication technologies.
With an impressive 22 years of teaching experience across undergraduate and postgraduate levels and 2 years of industry experience, Dr. H Anwer Basha is deeply invested in both academic theory and practical application. He is currently guiding 2 Ph.D. scholars, has mentored 7 M.Phil. students, and has overseen project work for over 50 M.Sc. Computer Science students.
A prolific researcher, Dr. Anwer Basha has published 40 research papers in high-impact journals including Scopus, Web of Science, and SCI-indexed journals. His active participation in the global research community is reflected in his presentations at more than 20 international conferences, and attendance in over 70 national and international conferences and Faculty Development Programs (FDPs).
His editorial and peer-review roles extend across 12 international journals and 20 global conferences, where he has served as reviewer, advisory board member, resource person, and chairperson. He also holds more than 20 professional memberships and fellowships in prestigious academic bodies, reflecting his influence and reputation in the field of computer science and education.
In the area of innovation and authorship, Dr. Anwer Basha has an impressive record of 12 published patents (including both utility models and granted patents), 7 book chapters, and 9 textbooks, all of which contribute to the enrichment of the academic ecosystem.
His work has been recognized with over 20 awards for excellence in teaching, research, and academic leadership. Dr. Anwer Basha has also represented India on the global stage, having visited four international countries to participate in educational conferences and exchange programs.
At the helm of RAAK Arts and Science College, affiliated with Annamalai University, Dr. Anwer Basha continues to inspire students and faculty alike, blending innovation with tradition, and academic rigor with a forward-looking vision.
Employment
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RAAK ARTS AND SCIENCE COLLEGE & RAAK INSTITUTE OF HOTEL MANAGEMENT AND CATERING TECHNOLOGY PRINCIPAL2024 - Present
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Saveetha college of liberal arts and Sciences Saveetha Deemed University Associate Professor2023 - 2024
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Jeppiaar Educational Trust Associate Professor2022 - 2023
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raak arts and Science College vice Principal2014 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Dijkstra's Algorithm with Bellman-Ford for Shortest Path Discovery in Big Data Save
- A Machine Learning Approach for Predictive Analysis of Jasmine Flower Yield and Plant Health Monitoring Save
- Cloud Computing Based POC Diagnostic Device: Rapid Infectious Disease Testing by Data Analytics Save
- EFFICIENT NON-DEGRADABLE WASTE PROCESSING TECHNOLOGIES INTEGRATED WITH MANETS FOR SUSTAINABLE WASTE MANAGEMENT MODELS Save
- Enhancing Bankruptcy Prediction with White Shark Optimizer and Deep Learning: A Hybrid Approach for Accurate Financial Risk Assessment Save
- A Comparative Study on the Application of Internet of Things in Smart Farming for Monitoring the Farming Save
- A Novel Method for Finger-Vein Recognition Based on MFAGNET Approach Save
- Advanced Insights in Nursing Science: Applying ARIMA-CLSTM for Concept Analysis Save
- Machine Learning Approaches for Proactive Phishing Attack Detection Save
- Perceived Stress Prediction among Working Employees Based on CAT-DCNN Technique Save