T. Chandrasekar

Chandrasekar T. , a distinguished professional with a Ph.D. in Management Studies from Anna University, Chennai, currently leads as the Head of Business Administration at Kalasalingam Academy of Research and Education, India. With a Six Sigma Black Belt certification from MSME, he brings over 18 years of teaching experience. Author of three impactful textbooks, he has 16 publications in Scopus indexed journals, holds a patent, and serves as a Reasoner for MoUs with MSME. His expertise spans Operation Management, Strategic Management, Human Resource Management, Marketing Management, Lean Six Sigma, Control System, and Digital Signal Processing. Formerly the Controller of Examinations at an autonomous institution, he exhibits administrative powers and a commitment to academic excellence.

Publications

Efficient Detection of QR Code Image-Based Attacks in Industries Through Lightweight Deep Learning Models and Monarch Butterfly Optimization Algorithm
Efficient Detection of QR Code Image-Based Attacks in Industries Through Lightweight Deep Learning Models and Monarch Butterfly Optimization Algorithm
P. Sathyaraj, A. Siva Kumar, R. Sabitha, R. Dhanalakshmi, T. Chandrasekar, S. D. Lalitha. © 2024. 34 pages.
In the industrial landscape, cyber threats challenge information security, especially in industrial cybersecurity. Attack vectors like malware, phishing, and ransomware...
The Usage of Artificial Intelligence in Manufacturing Industries: A Real-Time Application
The Usage of Artificial Intelligence in Manufacturing Industries: A Real-Time Application
Renugadevi Ramalingam, Malathi Murugesan, S. Vaishnavi, N. Priyanka, S. Nalini, T. Chandrasekar. © 2024. 19 pages.
Artificial intelligence (AI) has the capacity to revolutionize the manufacturing sector. Positive effects include things like more output, lower costs, better quality, and less...
Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care
Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care
A. V. Kalpana, T. Chandrasekar, Renugadevi Ramalingam, S. P. Tamizhselvi, T. Ramesh, M. Chitra. © 2024. 35 pages.
In addressing healthcare challenges, especially in nations like India, the authors propose integrating cutting-edge machine learning algorithms for multi-disease prediction. The...