Dr. M. Prabhu

Dr. M. Prabhu

Head & Assistant Professor
PG Department of Computer Applications
Cloud Computing Big Data Analytics Load Balancing Front End (React JS) Ph.D. Awarded (2025)
MP
Qualifications
  • Ph.D. Computer Science, EGS Pillay College, Bharathidasan University (Awarded 2025)
  • M.Phil. Computer Science, EGS Pillay College (2017) – 86%, I Class
  • Master of Computer Applications (MCA), Mohamed Sathak Engineering College, Anna University (2008) – 76%, I Class
  • B.Sc. (Information Technology), SCSVMV Deemed University (2005) – 66%, I Class
Experience
  • Head & Assistant Professor, Mohamed Sathak College of Arts and Science (June 2017 – Present)
  • Faculty & Academic Coordinator, Sathak Institute of Information Technology (July 2008 – August 2016)
  • 17+ Years of cumulative academic and teaching experience
Core Responsibilities
  • Delivering lectures across Programming, Operating Systems, Algorithms, and Cloud Frameworks
  • Designing core institutional question paper tools and validation metrics
  • Guiding graduates in building foundational research papers and college symposium tracks
  • Collaborating across departments to address structural pedagogical developments
Academic Output
17+Yrs Teaching
5+Scopus/IEEE
Ph.D.Awarded
Personal Details
  • Father's Name: Mr. R. Muniyasamy
  • Date of Birth: 10 Dec 1983
  • Languages Known: Tamil and English
Contact Links
Mobile+91 97890 67805 / +91 80723 70966
Office AddressNo: 13, Medavakkam High Road, Sholinganallur, Chennai-600119.
Research Publications (Scopus / IEEE)
"Gaussian Algorithms for Load Balancing and Secure Data Outsourcing in Cloud Networks" – International Journal of Intelligent Systems and Applications in Engineering, No. 21s, 2024 (Scopus).
"Multilayer Perceptive Network with Gaussian Distributed Efficient Cryptography for Load Balancing" – International Journal of Intelligent Systems and Applications in Engineering, No. 21s, 2024 (Scopus).
"Implementing Real-Time Analytics for Enhanced Energy Efficiency in IoT-Integrated Smart Grid System" – 10th IEEE International Conference on Communication and Signal Processing (ICCSP), 2024.
"Deep Learning Algorithms for Enhanced Precision in Automated Medical Imaging Diagnoses to Improve Healthcare Outcomes" – 10th IEEE International Conference on Communication and Signal Processing (ICCSP), 2024.
"A Study on Cloud Based Secure Outsourcing Computation" – Shodhasamhita: Journal of Fundamental & Comparative Research, Vol. VIII, No. 1S, 2022.
Workshops & Seminars Organized
June 2026: Organized one day workshop on "Front End Development with React JS Frame Work".
February 2026: Organized one day workshop on "Data Analytics using Power BI".
January 2026: Organized one day online workshop on "AI Tools for Research Paper Writing".
December 2025: Organized one day online FDP on "Generative AI for Teaching & Research".
Conferences & Guest Expertise
Resource Expert Talk (Feb 2026): Delivered masterclass presentation on "Process of Innovation Development & Technology Readiness Level (TRL) & Commercialisation of Lab Technologies and Tech Transfer" at St. Thomas College of Arts and Science.
AMC Bengaluru (Aug 2025): Presented research paper entitled "Performance Evaluation Learning Algorithm in Parkinsons Disease Classification" inside NC21A-2K25 tracks.
Malawi Multidisciplinary Conference (April 2024): Presented "Health Disease using Supervised and Unsupervised Techniques" in alliance with DMI-St. John the Baptist University, Africa.
NCRCIM (Feb 2024): Presented paper titled "Federated Hybrid Cloud Optimization and Computational Load Balancing Security using K-Means Clustering" at Idhaya College for Women, Kumbakonam.
Advanced Academic Certifications & Training
FDP Frameworks (Jan-Feb 2026): Attended advanced technical tracks including "AI Tools for Research Paper Writing" and intensive modules covering "Front end Development with React JS Frame Work".
AI Innovation Tracks (Sept-Dec 2025): Completed multiple certifications across AI domains including "Advancing with Agentic AI & Prompt Engineering next-gen capabilities", "Generative AI Roadmap in DevSecOps", "AI in Digital Marketing", and "Quantum-Driven Computational Intelligence 2K25".
Historical Seminars: Participated in Machine Learning Using Python tracks (MSCAS 2021 & 2023), Artificial Intelligence platforms (2022), E-National Workshop on Research Tool Validation (Mandsaur University 2022), and embedded automation development systems.
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