👨🏫 Summary
Dr. Chandrasekar A is an esteemed Assistant Professor Senior Grade I in the Department of Mathematics at Vellore Institute of Technology, India. With extensive expertise in differential equations and neural networks, he has contributed significantly to these fields through his research and teaching. His commitment to advancing mathematical knowledge is evident in his impactful publications and active involvement in academic activities.
🎓 Education
Dr. Chandrasekar earned his Ph.D. in Mathematics from Bharathiar University (2013-2017), with a thesis on “Dynamic Characteristics of Neural Networks with Time-Varying Delays,” which was highly commended. He also holds an M.Phil. in Mathematics (2011-2012) from Bharathiar University, focusing on the effects of leakage time-varying delays in neural networks, and an M.Sc. in Mathematics (2009-2011) from the same institution. His undergraduate degree in Mathematics was completed at Thiruvalluvar Government Arts College/Periyar University (2006-2009), where he graduated with first-class honors.
💼 Professional Experience
Dr. Chandrasekar currently serves as an Assistant Professor Senior Grade I at Vellore Institute of Technology (Sep 2022 – Present), after previous roles at Sona College of Arts and Science (Jun 2018 – Aug 2022) and Karpagam College of Engineering (Jan 2017 – May 2018). His career also includes experience as a UGC-BSR Junior Research Fellow at Bharathiar University (Sep 2013 – Nov 2016), where he honed his research skills and expertise.
🔬 Research Interests
Dr. Chandrasekar’s research focuses on several intriguing areas: stability analysis of neural networks with time delay, synchronization of chaotic systems, image encryption, T-S fuzzy systems, and complex dynamical networks. His work in these domains has made notable contributions to both theoretical and applied mathematics.
📚 Additional Information
Dr. Chandrasekar has taught various courses including Complex Analysis, Differential Equations and Transforms, and Advanced Mathematical Methods. He has organized several academic events and lectures, such as on the role of statistical techniques and fundamental theorems of algebra. He is a reviewer for numerous prestigious journals, including the IEEE Transactions on Neural Networks and Learning Systems, and has published 27 papers in SCI journals with a total impact factor of 133.973.