“An investment in knowledge pays the best interest” – Benjamin Franklin
“An investment in knowledge pays the best interest” – Benjamin Franklin
Associate Professor
Department of Computer Science and Engineering
National Institute of Technology Puducherry, Karaikal
Email: venkatesan.msundaram@nitpy.ac.in , venkisakthi77@gmail.com
Phone: 265235-227
Mob: +91 9442314011
Ph.D (2014) - Computer Science and Engineering - VIT University
M.Tech (2006) - Information Technology - VIT University
BE (1999) - Computer Science and Engineering - University of Madras
AI & Machine Learning, Data Science, Data Analytics, Geo-Spatial Analysis, Computational Intelligence, Blockchain, Information Retrieval, Social Network Analysis, Image Processing and Generative AI
Associate Professor, Department of Computer Science & Engineering, NITPuducherry, Karaikal ,Dec 2024 Onwards
Assistant Professor, Department of Computer Science & Engineering, NIT Pondycherry, Karikal. Sept 2021 to Nov 2024
Assistant Professor, Department of Computer Science & Engineering, NIT Karnataka, Srinivasa Nagar, Surathkal, Mangalore, Dec 2016 to Sept 2021
Associate Professor, School of Computing Science & Engineering, VIT University, Vellore, November May 2014 to December 2016.
Assistant. Professor (Selection Grade), School of Computing Science & Engineering, VIT University, Vellore, November 2009 to May 2014
Sr.Lecturer, VIT University, Vellore, January 2007 to October 2009
Lecturer, Vellore Institute of Technology, Vellore, June 2001 to December 2006
Lecturer, Thiruvalluvar college of Engg and Technology,Vandavasi, June 2000 to June 2001
Lecturer, Adhiparasakthi Engg College,Melmaruvathur ,November 1999 to June 2000
Title: “GIS Based Early Warning Landslide Susceptibility Model Using Data Mining Classification Approach” Agency: ISRO,SAC, Ahemadabad under RESPOND Program, Cost:10.95 lakhs Status: Completed
Title: Multi Graph based Anomaly Detection Model for Social Network Analysis using Machine Learning, Agency: DST-ICPS, Cost: 33 lakhs, Status:Onoing
Germany Patent Granted titled “System to Accelerate Fake News Detection Using Quantum Machine Learning-GO6F 18/24”