S. Gopalakrishnan

37 papers Journal 30Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hybrid Keyless Encryption Framework for Scalable and Privacy-Preserving IoMT Systems. Secur. Priv. D. Dhinakaran, S. Gopalakrishnan, Edwin Raja S., J. Jeno Jasmine, M. Thiyagarajan, V. Logapriya
2026	J	`jnl`	Fusion-Driven Medical Image Encryption Framework with Entropy-Calibrated Control and Integrity Assurance. KSII Trans. Internet Inf. Syst. S. Gopalakrishnan, D. Dhinakaran, Edwin Raja S., P. Raghavan, M. S. Girija, R. Sugumar
2026	J	`jnl`	Smart detection of autism spectrum disorder using optimized deep learner for transforming early diagnosis and intervention. Evol. Intell. P. Kamaraja Pandian, R. Chithambaramani, M. Sujaritha, C. Gnanaprakasam, P. Rama Mohan, S. Gopalakrishnan
2025	J	`jnl`	An efficient data mining technique and privacy preservation model for healthcare data using improved darts game optimizer-based weighted deep neural network and hybrid encryption. Biomed. Signal Process. Control. D. Dhinakaran, L. Srinivasan, S. Gopalakrishnan, T. P. Anish
2025	J	`jnl`	Gradient-enhanced focal-pooling vision transformer with adaptive tuning for robust and accurate vehicle detection in smart environments. Iran J. Comput. Sci. Priyanka Ankireddy, S. Gopalakrishnan, V. Lokeswara Reddy
2025	J	`jnl`	UNCA: A Neutrosophic-Based Framework for Robust Clustering and Enhanced Data Interpretation. CoRR D. Dhinakaran, Edwin Raja S., S. Gopalakrishnan, D. Selvaraj, S. D. Lalitha
2024	J	`jnl`	A turbulent flow optimized deep fused ensemble model (TFO-DFE) for sentiment analysis using social corpus data. Soc. Netw. Anal. Min. E. Aarthi, S. Jagan, C. Punitha Devi, Jeffin Gracewell, Shruti Bhargava Choubey, Abhishek Choubey, S. Gopalakrishnan
2024	—	`conf`	Image-Based Bone Marrow Malignancy Detection: Motivation, Challenges and Recommendations. ICCCNT V. Kumari Isukapalli, R. Dinesh Kumar, S. Gopalakrishnan
2024	—	`conf`	Internet of Things in Health Care: Motivation and Challenges: A Survey. ICCCNT Y. Sowjanya, S. Gopalakrishnan, R. Dinesh Kumar
2024	J	`jnl`	Toward Deep Generation of Guided Wave Representations for Composite Materials. IEEE Trans. Artif. Intell. Mahindra Rautela, J. Senthilnath, Armin Huber, S. Gopalakrishnan
2023	J	`jnl`	Comparative analysis of new meta-heuristic-variants for privacy preservation in wireless mobile adhoc networks for IoT applications. Comput. Commun. P. Satyanarayana, G. Diwakar, B. V. Subbayamma, N. V. Phani Sai Kumar, M. Arun, S. Gopalakrishnan
2023	J	`jnl`	Implementation of Hybrid Particle Swarm Optimization for Optimized Regression Testing. Intell. Autom. Soft Comput. V. Prakash, S. Gopalakrishnan
2023	J	`jnl`	IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support. CoRR D. Dhinakaran, S. Gopalakrishnan, M. D. Manigandan, T. P. Anish
2022	J	`jnl`	IIoT Framework Based ML Model to Improve Automobile Industry Product. Intell. Autom. Soft Comput. S. Gopalakrishnan, M. Senthil Kumaran
2022	J	`jnl`	Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search. CoRR Mahindra Rautela, Motahareh Mirfarah, Christian Silva, Shirley Dyke, Amin Maghareh, S. Gopalakrishnan
2021	J	`jnl`	Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks. Expert Syst. Appl. Mahindra Rautela, S. Gopalakrishnan
2020	—	`conf`	Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks. ICPHM Mahindra Rautela, S. Gopalakrishnan, Karthik Gopalakrishnan, Yiming Deng
2018	J	`jnl`	Differential quadrature element for second strain gradient beam theory. CoRR Md. Ishaquddin, S. Gopalakrishnan
2018	J	`jnl`	Novel differential quadrature element method for higher order strain gradient elasticity theory. CoRR Md. Ishaquddin, S. Gopalakrishnan
2018	J	`jnl`	Novel weak form quadrature elements for non-classical higher order beam and plate theories. CoRR Md. Ishaquddin, S. Gopalakrishnan
2018	J	`jnl`	Novel weak form quadrature elements for second strain gradient Euler-Bernoulli beam theory. CoRR Md. Ishaquddin, S. Gopalakrishnan
2017	J	`jnl`	On the construction of approximation space to model discontinuities and cracks with linear and quadratic extended finite elements. Adv. Model. Simul. Eng. Sci. Marcel Ndeffo, Patrick Massin, Nicolas Moës, Alexandre Martin, S. Gopalakrishnan
2015	J	`jnl`	Secure and Efficient Transmission in Mobile Ad hoc Network to Identify the Fake ID's Using Fake ID Detection Protocol. J. Comput. Sci. S. Gopalakrishnan, P. Ganeshkumar
2013	J	`jnl`	Anomaly Detections in Internet traffic Using Empirical Measures. CoRR A. S. Syed Navaz, S. Gopalakrishnan, R. Meena
2013	J	`jnl`	Human Resource Management System. CoRR A. S. Syed Navaz, A. S. Syed Fiaz, C. Prabhadevi, V. Sangeetha, S. Gopalakrishnan
2012	J	`jnl`	Automatic energy-momentum conserving time integrators for hyperelastic waves. J. Comput. Appl. Math. Amuthan Arunkumar Ramabathiran, S. Gopalakrishnan
2011	J	`jnl`	Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures. Appl. Soft Comput. S. N. Omkar, J. Senthilnath, Rahul Khandelwal, G. Narayana Naik, S. Gopalakrishnan
2011	J	`jnl`	Mapping of nanoscience and nanotechnology research in India: a scientometric analysis, 1990-2009. Scientometrics R. Karpagam, S. Gopalakrishnan, M. Natarajan, B. Ramesh Babu
2011	J	`jnl`	Nature inspired optimization techniques for the design optimization of laminated composite structures using failure criteria. Expert Syst. Appl. G. Narayana Naik, S. N. Omkar, Dheevatsa Mudigere, S. Gopalakrishnan
2010	J	`jnl`	A Legendre spectral element model for sloshing and acoustic analysis in nearly incompressible fluids. J. Comput. Phys. D. Krishna Kishor, S. Gopalakrishnan, Ranjan Ganguli
2010	—	`conf`	Emergent digital value chain optimizing software spend. ISEC S. Gopalakrishnan
2009	J	`jnl`	Quantum behaved Particle Swarm Optimization (QPSO) for multi-objective design optimization of composite structures. Expert Syst. Appl. S. N. Omkar, Rahul Khandelwal, T. V. S. Ananth, G. Narayana Naik, S. Gopalakrishnan
2008	J	`jnl`	Artificial immune system for multi-objective design optimization of composite structures. Eng. Appl. Artif. Intell. S. N. Omkar, Rahul Khandelwal, Santhosh Yathindra, G. Narayana Naik, S. Gopalakrishnan
2003	—	`conf`	A Nonlinear Spectral Finite Element Model for Analysis of Wave Propagation in Solid with Internal Friction and Dissipation. ICCSA (2) D. Roy Mahapatra, S. Gopalakrishnan
2003	—	`conf`	Finite Element Simulation of BAW Propagation in Inhomogeneous Plate Due to Piezoelectric Actuation. ICCSA (2) A. Chakraborty, D. Roy Mahapatra, S. Gopalakrishnan
2000	J	`jnl`	A Lagrangian Quadratic Triangular Fluid Finite Element for Fluid-Structure Interaction Problems. Int. J. Comput. Eng. Sci. S. Gopalakrishnan, G. Devi
1996	—	`conf`	The offshore model for software development: the Infosys experience. SIGCPR S. Gopalakrishnan, V. P. Kochikar, S. Yegneshwar

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.