Lakshmanan Shanmugam

66 papers Journal 64Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel sand-dust image enhancement model using intuitionistic fuzzy generator. Comput. Electr. Eng. Chithra Selvam, Reegan Jebadass Johnson Jebadass, Dhanasekar Sundaram, Lakshmanan Shanmugam
2026	J	`jnl`	Finite-time H∞ boundedness of delayed interconnected systems using sliding mode control with partitioned interval strategy. Commun. Nonlinear Sci. Numer. Simul. Ayyappan N, Nallappan Gunasekaran, A. Manivannan, Lakshmanan Shanmugam
2026	J	`jnl`	Finite-time Stability of Delayed Recurrent Neural Networks with the Effect of Impulsive Control. Neural Process. Lett. Jayabharathi Jayavel, Khang Wen Goh, Lakshmanan Shanmugam
2025	J	`jnl`	Deep Learning-Based Multimodal Fusion Approach for Predicting Acute Dermal Toxicity. J. Chem. Inf. Model. Monnishkaran Madheswaran, Keerthana Jaganathan, Lakshmanan Shanmugam
2025	J	`jnl`	Fixed-Time Synchronization of Leaderless and Leader-Following Multi-Agent Networks With Delayed Impulses. IEEE Trans. Signal Inf. Process. over Networks Jayabharathi Jayavel, Lakshmanan Shanmugam
2025	J	`jnl`	Fractional Exponent-Based Looped-Lyapunov Functional for Mode-Dependent Sampled-Data Control of T-S Fuzzy Markovian Jump Systems With $\mathscr {H}_{\infty }$ Performance. IEEE Trans. Fuzzy Syst. Karpagavalli Sundararajan, Padmaja Narasimman, Tae H. Lee, Lakshmanan Shanmugam
2025	J	`jnl`	Secure Multiplicative Sampled-Data Control for T-S Fuzzy-Based Cyber-Physical Systems Subject to Deception Attacks. Circuits Syst. Signal Process. S. Arunagirinathan, Lakshmanan Shanmugam, Tae H. Lee
2025	J	`jnl`	Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach. Neurocomputing Haripriya Muralikrishnan, N. Padmaja, E. Umamaheswari, Lakshmanan Shanmugam
2024	J	`jnl`	A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique. Inf. Fusion Chithra Selvam, Reegan Jebadass Johnson Jebadass, Dhanasekar Sundaram, Lakshmanan Shanmugam
2024	J	`jnl`	Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines. IEEE Trans. Cybern. Lakshmanan Shanmugam, Kumarasamy Palanimuthu, Young Hoon Joo
2024	J	`jnl`	Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. Bhuvaneshwari Ganesan, Mani Prakash, Lakshmanan Shanmugam, Manivannan Annamalai
2023	J	`jnl`	Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems. Appl. Math. Comput. Lakshmanan Shanmugam, Young Hoon Joo
2023	J	`jnl`	Dynamical analysis and reachable set estimation of T-S fuzzy system with permanent magnet synchronous motor. Commun. Nonlinear Sci. Numer. Simul. R. Vadivel, Zeric Tabekoueng Njitacke, Lakshmanan Shanmugam, Porpattama Hammachukiattikul, Nallappan Gunasekaran
2022	J	`jnl`	Stability Criteria for Fuzzy-Based Sampled-Data Control Systems via a Fractional Parameter-Based Refined Looped Lyapunov Functional. IEEE Trans. Fuzzy Syst. Lakshmanan Shanmugam, Young Hoon Joo
2021	J	`jnl`	Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and its Application to PMSM. IEEE Trans. Syst. Man Cybern. Syst. Lakshmanan Shanmugam, Young Hoon Joo
2021	J	`jnl`	Further Stability and Stabilization Condition for Sampled-Data Control Systems via Looped-Functional Method. IEEE Trans. Circuits Syst. II Express Briefs Lakshmanan Shanmugam, Young Hoon Joo
2021	J	`jnl`	Investigation on stability of delayed T-S fuzzy interconnected systems via decentralized memory-based sampled-data control and validation through interconnected power systems with DFIG-based wind turbines. Inf. Sci. Lakshmanan Shanmugam, Young Hoon Joo
2021	J	`jnl`	Stability and Stabilization for T-S Fuzzy Large-Scale Interconnected Power System With Wind Farm via Sampled-Data Control. IEEE Trans. Syst. Man Cybern. Syst. Lakshmanan Shanmugam, Young Hoon Joo
2021	J	`jnl`	Stabilization of permanent magnet synchronous generator-based wind turbine system via fuzzy-based sampled-data control approach. Inf. Sci. Lakshmanan Shanmugam, Young Hoon Joo
2020	J	`jnl`	Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. IEEE Trans. Cybern. Lakshmanan Shanmugam, Mani Prakash, Rajan Rakkiyappan, Young Hoon Joo
2019	J	`jnl`	Adaptive Fractional Fuzzy Integral Sliding Mode Control for PMSM Model. IEEE Trans. Fuzzy Syst. Mani Prakash, Rajan Rakkiyappan, Lakshmanan Shanmugam, Young Hoon Joo
2019	J	`jnl`	Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption. Inf. Sci. Mani Prakash, Rajan Rakkiyappan, Lakshmanan Shanmugam, Young Hoon Joo
2019	J	`jnl`	Dissipativity analysis of complex-valued BAM neural networks with time delay. Neural Comput. Appl. Rajivganthi Chinnathambi, Fathalla A. Rihan, Lakshmanan Shanmugam
2019	J	`jnl`	Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays. IEEE Trans. Cybern. Muthukumar Palanisamy, S. Arunagirinathan, Lakshmanan Shanmugam
2019	J	`jnl`	Optimal control of tumour-immune model with time-delay and immuno-chemotherapy. Appl. Math. Comput. Fathalla A. Rihan, Lakshmanan Shanmugam, Helmut Maurer
2018	J	`jnl`	A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Lakshmanan Shanmugam
2018	J	`jnl`	Applications of Delay Differential Equations in Biological Systems. Complex. Fathalla A. Rihan, Cemil Tunç, S. H. Saker, Lakshmanan Shanmugam, R. Rakkiyappan
2018	J	`jnl`	Delay-Dependent Functional Observer Design for Linear Systems With Unknown Time-Varying State Delays. IEEE Trans. Cybern. Reza Mohajerpoor, Lakshmanan Shanmugam, Hamid Abdi, Saeid Nahavandi, Ju H. Park
2018	J	`jnl`	Finite-time stability analysis for fractional-order Cohen-Grossberg BAM neural networks with time delays. Neural Comput. Appl. Rajivganthi Chinnathambi, Fathalla A. Rihan, Lakshmanan Shanmugam, Muthukumar Palanisamy
2018	J	`jnl`	Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. Saba Al-Wais, Reza Mohajerpoor, Lakshmanan Shanmugam, Hamid Abdi, Saeid Nahavandi
2018	J	`jnl`	State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties. Appl. Math. Comput. K. Subramanian, Muthukumar Palanisamy, Lakshmanan Shanmugam
2018	J	`jnl`	Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. Lakshmanan Shanmugam, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi
2017	J	`jnl`	Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays. IEEE Trans. Neural Networks Learn. Syst. Lakshmanan Shanmugam, Chee Peng Lim, Saeid Nahavandi, Mani Prakash, P. Balasubramaniam
2017	J	`jnl`	Functional observer design for retarded system with interval time-varying delays. Int. J. Syst. Sci. Reza Mohajerpoor, Lakshmanan Shanmugam, Hamid Abdi, Saeid Nahavandi, Mehrdad Saif
2017	—	`conf`	H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays. ASCC Saba Al-Wais, Tae H. Lee, Lakshmanan Shanmugam, Hamid Abdi, Saeid Nahavandi
2017	J	`jnl`	Improved delay-dependent stability criteria for neutral systems with mixed interval time-varying delays and nonlinear disturbances. J. Frankl. Inst. Reza Mohajerpoor, Lakshmanan Shanmugam, Hamid Abdi, Rajan Rakkiyappan, Saeid Nahavandi, Ju H. Park
2017	J	`jnl`	Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach. Neurocomputing Lakshmanan Shanmugam, Chee Peng Lim, Mani Prakash, Saeid Nahavandi, Pagavathigounder Balasubramaniam
2017	J	`jnl`	Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. IMA J. Math. Control. Inf. K. Sivaranjani, R. Rakkiyappan, Lakshmanan Shanmugam, Chee Peng Lim
2016	J	`jnl`	Partial state estimation of LTI systems with multiple constant time-delays. J. Frankl. Inst. Reza Mohajerpoor, Hamid Abdi, Lakshmanan Shanmugam, Saeid Nahavandi
2016	J	`jnl`	Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays. J. Frankl. Inst. Muthukumar Palanisamy, K. Subramanian, Lakshmanan Shanmugam
2016	J	`jnl`	Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. Complex. Rajan Rakkiyappan, Gandhi Velmurugan, Fathalla A. Rihan, Lakshmanan Shanmugam
2016	J	`jnl`	Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays. Complex. Muhammed Syed Ali, Pagavathigounder Balasubramaniam, Fathalla A. Rihan, Lakshmanan Shanmugam
2016	J	`jnl`	Synchronization of Markovian jumping inertial neural networks and its applications in image encryption. Neural Networks Mani Prakash, Pagavathigounder Balasubramaniam, Lakshmanan Shanmugam
2016	J	`jnl`	Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. J. Frankl. Inst. R. Rakkiyappan, Rathinasamy Sasirekha, Lakshmanan Shanmugam, Chee Peng Lim
2016	J	`jnl`	Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. Complex. Rajivganthi Chinnathambi, Fathalla A. Rihan, Lakshmanan Shanmugam, Rajan Rakkiyappan, Muthukumar Palanisamy
2015	—	`conf`	Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) Lakshmanan Shanmugam, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi
2015	J	`jnl`	Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. Complex. R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2015	J	`jnl`	Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays. Neural Process. Lett. G. Velmurugan, R. Rakkiyappan, Lakshmanan Shanmugam
2015	J	`jnl`	Synchronization of singular Markovian jumping complex networks with additive time-varying delays via pinning control. J. Frankl. Inst. R. Rakkiyappan, B. Kaviarasan, Fathalla A. Rihan, Lakshmanan Shanmugam
2014	J	`jnl`	A time delay model of tumour-immune system interactions: Global dynamics, parameter estimation, sensitivity analysis. Appl. Math. Comput. Fathalla A. Rihan, D. H. Abdel Rahman, Lakshmanan Shanmugam, A. S. Alkhajeh
2014	J	`jnl`	Delay-dependent H Neurocomputing Lakshmanan Shanmugam, K. Mathiyalagan, Ju H. Park, Rathinasamy Sakthivel, Fathalla A. Rihan
2014	J	`jnl`	Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2014	J	`jnl`	Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. Neurocomputing A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Lakshmanan Shanmugam
2014	J	`jnl`	State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. Complex. R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2014	J	`jnl`	Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Lakshmanan Shanmugam
2013	J	`jnl`	A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays. Neurocomputing Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung, O. M. Kwon, R. Rakkiyappan
2013	J	`jnl`	Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks with Time-Varying Delays. Circuits Syst. Signal Process. R. Rakkiyappan, Lakshmanan Shanmugam, Pagavathigounder Balasubramaniam
2013	J	`jnl`	Design of state estimator for genetic regulatory networks with time-varying delays and randomly occurring uncertainties. Biosyst. Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam, Sang-Moon Lee
2013	J	`jnl`	Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. Neurocomputing R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung
2013	J	`jnl`	Robust Delay-Dependent Stability Criteria for Dynamic Systems with Nonlinear Perturbations and Leakage Delay. Circuits Syst. Signal Process. Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung
2013	J	`jnl`	Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. Appl. Math. Comput. Lakshmanan Shanmugam, Ju H. Park, Tae H. Lee, Ho Y. Jung, R. Rakkiyappan
2012	J	`jnl`	Design of state estimator for neural networks with leakage, discrete and distributed delays. Appl. Math. Comput. Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung, Pagavathigounder Balasubramaniam
2012	J	`jnl`	LMI optimization problem of delay-dependent robust stability criteria for stochastic systems with polytopic and linear fractional uncertainties. Int. J. Appl. Math. Comput. Sci. Pagavathigounder Balasubramaniam, Lakshmanan Shanmugam, Rajan Rakkiyappan
2011	J	`jnl`	Delay-interval-dependent robust-stability criteria for neutral stochastic neural networks with polytopic and linear fractional uncertainties. Int. J. Comput. Math. Pagavathigounder Balasubramaniam, Lakshmanan Shanmugam
2011	J	`jnl`	LMI Conditions for Robust Stability Analysis of Stochastic Hopfield Neural Networks with Interval Time-Varying Delays and Linear Fractional Uncertainties. Circuits Syst. Signal Process. Pagavathigounder Balasubramaniam, Lakshmanan Shanmugam
2009	J	`jnl`	Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. Neurocomputing Pagavathigounder Balasubramaniam, Lakshmanan Shanmugam, R. Rakkiyappan

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.