NALLAPPAN GUNASEKARAN

About

Dr. N. Gunasekaran received the B.Sc. degree from the Mahendra Arts and Science College, Periyar University, Salem, Tamil Nadu, India, in 2009, the M.Sc. degree from the Jamal Mohamed College affiliated to Bharathidasan University, Trichy, Tamil Nadu, India, in 2012, the Master of Philosophy degree from Bharathidasan University, in 2013, and the Ph.D. degree in mathematics from Thiruvalluvar University, Vellore, India, in 2018. He was a Postdoctoral Research Fellow with the Research Center for Wind Energy Systems, Kunsan National University, Gunsan, South Korea, from 2017 to 2018. He is currently working as a Postdoctoral Research Fellow with the Computational Intelligence Laboratory, Department of Advanced Science and Technology, Toyota Technological Institute, Nagoya, Japan. He has authored or coauthored more than 50 research articles in various SCI journals. His research interests include complex-valued NNs, complex dynamical networks, control theory, stability analysis, sampled-data control, multi-agent systems, T-S fuzzy theory, and cryptography. He serves as a reviewer for various SCI journals.

Employment

• Beibu Gulf University Associate Professor
  2023 - Present
• Toyota Technological Institute Artificial intelligence in games
  2020 - 2023
• Shibaura Institute of Technology
  2018 - 2020
• Kunsan National University
  2017 - 2018

Education

• Thiruvalluvar University Ph.D
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (94)

• KAN-Based Parameter Estimation of the FitzHugh–Nagumo Model Under Noisy Conditions
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3659339
  +Save
• Finite-time H∞ boundedness of delayed interconnected systems using sliding mode control with partitioned interval strategy
  Communications in Nonlinear Science and Numerical Simulation 2026 DOI: 10.1016/j.cnsns.2026.109673
  +Save
• Event-Triggered Fault Detection for Discrete-Time Networked UAV Control Systems with Stochastic Deception Attacks
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3729009
  +Save
• Study on bifurcation analysis and Takagi–Sugeno fuzzy sampled‐data stabilization of permanent magnet synchronous motor systems
  Mathematical Methods in the Applied Sciences 2026 DOI: 10.1002/mma.7953
  +Save
• Finite-time H∞ synchronization control for nonlinear time-varying systems through the state-dependent switching PI controller and interval matrix method
  Journal of the Franklin Institute 2026 DOI: 10.1016/j.jfranklin.2025.108257
  +Save
• Modeling Pandemic Dynamics via Fuzzy Fractional SEIQR Framework with ABC Derivatives: Qualitative Analysis and Computational Approaches
  Fractal and Fractional 2025 DOI: 10.3390/fractalfract10010002
  +Save
• Event-triggered reachable set estimation for synchronization of Markovian jump complex-valued delayed neural networks under cyber-attacks
  The European Physical Journal Special Topics 2025 DOI: 10.1140/epjs/s11734-024-01372-3
  +Save
• Fractional-Order Dynamics and Fear-Induced Bifurcation in Delayed Food Chain Model
  International Journal of Bifurcation and Chaos 2025 DOI: 10.1142/S0218127425500798
  +Save
• Novel Results on Global Asymptotic Stability of Time-Delayed Complex Valued Bidirectional Associative Memory Neural Networks
  Symmetry 2025 DOI: 10.3390/sym17060834
  +Save
• Frobenius Norm-Based Global Stability Analysis of Delayed Bidirectional Associative Memory Neural Networks
  Symmetry 2025 DOI: 10.3390/sym17020183
  +Save