Departments
Admin

Dr. Valanto Alappatt

Associate Professor

Areas of Specialization

Network Security
Areas of Interest

Computer Networks
Internet of Things
Edge and Cloud Computing
Artificial Intelligence
Machine Learning

Educational Summary


Course University Year
PhD in Computer Science & Engineering Sathyabama University,Chennai 2022
MTech in Computer & Information Technology Manonmaniam Sundaranar University 2010
BE in Computer Science & Engineering Tamilnadu College of Engineering 2002

Experience


From Date To Date Institution Name Designation
2023-02-01 continuing Jyothi Engineering College Associate Professor
2010-08-04 2023-01-31 Thejus Engineering College Assistant Professor
2006-07-10 2010-08-03 Royal College of Engineering and Technology Senior Lecturer
2005-05-17 2006-07-04 Poornam Info Vision Pvt. Ltd Jr.Software Engineer

Achievements


Achievement Year
NPTEL MOOC Course :NBA Accreditation and Teaching and Learning in Engineering (NATE) 2025
Reviewer of Journal Soft Computing Journal 2023
Reviewer of Journal Cybernetics and Systems 2023
NPTEL MOOC Course : Introduction to Internet of Things- Elite Gold with Topper 5% 2023

Papers Published


Valanto Alappat and Joe Prathap PM "Trust-Based Energy Efficient Secure Multipath Routing in MANET Using LF-SSO and SH2E." International Journal of Computer Networks and Application Vol 8, No 4 (2021): 400-411 Scopus Indexed
Valanto Alappatt and Joe Prathap PM "A Hybrid Approach Using Ant Colony Optimization and Binary Particle Swarm Optimization (ACO: BPSO) for Energy Efficient Multi-path Routing in MANET." In 2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA 2020), July 2-4, 2020.pg 175-178,IEEE Conference -2020.
Sanaj M S ,Joe Prathap PM,Valanto Alappat “Profit maximization based task scheduling in hybrid clouds using whale optimization technique”. March 2020 Information Security Journal A Global Perspective 29(13):1-14
Saju P.John , Valanto Alappat, Needhu Varghese, and Serin V. Simpson. "Edge-Cloud Computing for IoT Data Analytics Using Optimized Progressive Graph Convolutional Networks." IETE Journal of Research (2025): 1-8.

Projects Guided


Projects Name Details Year
Image Forgery Detection Using Machine Learning Algorithms: An Integration of Detection and Retrieval Methods An efficient image forgery detection and retrieving from dataset images system by utilizing deep learn ing methods, in the form of Convolutional Neural Networks (CNNs) 2025
Intelligent Travel Recommendation System using Route Optimization Technique. Based on users preferences, locations ,hotels will be selected. Also using the optimization techniques, the effecient route to destination will be selected. 2023