Academic foundation
Qualifications
Master of Engineering, Computer Science Engineering
Vinayaka Mission’s Research Foundation, Salem
University websiteMaster of Science, Information Technology
Bharathidasan University, Tiruchirappalli
University websiteResearch · Academic service · Speaking
Documented credentials and contributions
Original evidence for conference presentations, publication, research reviewing and an invited guest lecture. Academic participation, reviewer recognition and speaking invitations are shown in their own categories.
Industry 4.0 factory operations and route planning
Indian Institute of Technology (Indian School of Mines), Dhanbad
RAIT 2025
“Industry 4.0: Revolutionizing Factory Operations and Route Planning with AI, Machine Learning and Immersive 360° Metaverse Integration”.
Next-generation CPR training and AI-driven workplace safety
Indian Institute of Technology (Indian School of Mines), Dhanbad
RAIT 2025
“Next-Generation CPR Training System: Real-Time Insights and AI-Driven Solutions for Employee Safety in Industry 4.0”.
AI-powered computational framework for smart manufacturing
Amity University, Greater Noida
IC3SE 2025
Integrating MPS, MRP, Kanban and ERP for enhanced production efficiency. Certificate of participation in research.
Smart workplace safety and evacuation for Industry 4.0
Amity University, Greater Noida
IC3SE 2025
Using IoT, AI and data visual analytics. Certificate of participation in research.
Research reviewing in computer science and communication technologies
Graphic Era Hill University, Bhimtal Campus
CE2CT 2025
Certificate of appreciation recognising service as a reviewer for the First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies.
Artificial intelligence and automation — guest lecture
PSG Polytechnic College · Department of Computer Engineering
Chief guest invitation
The event poster names Dr. Kannan Ramasamy as chief guest for a guest lecture on artificial intelligence and automation. This document is an invitation, not an attendance certificate.
Deep learning for cardiac-disease prediction and diagnosis
Guru Nanak Institutions Technical Campus & Guru Nanak Institute of Technology
ICICSE 2019
Skype presentation of “Deep Learning Framework to Predict and Diagnose the Cardiac Diseases by Image Segmentation”, in the AI/Machine Learning technical session.
MRI segmentation, prediction and diagnostic accuracy
International Journal of Engineering and Advanced Technology / Blue Eyes Intelligence Engineering & Sciences Publication
IJEAT · Volume 9, Issue 2 · pages 333–342
Publication certificate for the paper co-authored by R. Kannan and V. Vasanthi. The historical certificate is reproduced without making a current indexing or impact-factor claim.
Predicting and visualising heart diseases with machine learning
Hindusthan College of Engineering and Technology, Coimbatore
ICGICCS 2018
Paper presentation: “Predicting and Visualizing the Heart Diseases by Machine Learning Algorithms with Big Data”.
Deep learning and disease prediction through image segmentation
Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur
ICAST 2018
Virtual participation/presentation, as annotated on the supplied certificate.
MXNet image segmentation for cardiac diagnosis
Karpagam College of Engineering, Coimbatore
ICAIC 2018
Participation and paper presentation. The certificate’s printed title is “MXNET IMAGE SEGMENTATION TO PREDICT AND DIAGNOSE THE CARDIAC”.
Machine-learning algorithms and ROC analysis for heart disease
Sree Vidyanikethan Engineering College, Tirupati
ICCSAI 2018
Paper presentation: “Machine Learning Algorithms with ROC Curve for Predicting and Diagnosing the Heart Disease”.
Machine learning and data visualisation for big data
Rathinam College of Arts & Science, Coimbatore
ICDSA 2017 · Department of Computer Science
Certificate of participation for the paper “Machine Learning with an Effective Tools of Data Visualization for Big Data”.