Elangovan Muniyandy

22 papers Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cloud-assisted IoMT system for brain tumor detection using optimized hinge steerable GNN. Biomed. Signal Process. Control. S. Veena, Elangovan Muniyandy, Thamodharan Arumugam, Mukul Aggarwal
2026	J	`jnl`	Intrusion Detection and Localization Using Deep Learning Approaches in VANET Environments. SN Comput. Sci. M. Vijayakumar, Elangovan Muniyandy, Gayatri Mirajkar, Krovvidi S. B. Ambika, S. P. M. Kannan, R. Venkatesh, R. Mohan Kumar
2026	J	`jnl`	Intrusion Detection in Wireless Sensor Networks Using a Machine Learning-Driven Cyber Security Framework. SN Comput. Sci. M. Meenakshi, M. Mageshwari, S. P. M. Kannan, P. Veeramanikandan, K. Manivannan, Elangovan Muniyandy, R. Mohan Kumar
2025	J	`jnl`	A blockchain and reflection equivariant quantum networks-driven drug supply chain management and recommendation system for the smart pharmaceutical sector. Evol. Syst. Anwar Ahamed Shaikh, Aasim Mir, Elangovan Muniyandy, Boddepalli Kiran Kumar
2025	J	`jnl`	An enhanced asymmetric quantization Boolean encryption for secure routing in wireless sensor networks. Int. J. Model. Simul. Sci. Comput. M. Sudha, M. Saravanakumar, Pradeep Jangir, Elangovan Muniyandy
2025	J	`jnl`	DACNN based predicting tensile strength of friction stir welded aluminium alloy joints. Int. J. Mach. Learn. Cybern. T. Prakash, Abhinav, G. Gnanakumar, Elangovan Muniyandy
2025	J	`jnl`	Global consistent graph convolutional network for amplifying piezoelectric microelectromechanical sensor performance in fluid-dynamic environments. Comput. Networks S. K. Mydhili, Elangovan Muniyandy, Rajeshkannan S, T. R. Vijaya Lakshmi
2025	J	`jnl`	IoT-Cloud-Centric Smart Healthcare Monitoring System for Heart Disease Prediction Using a Gated-Controlled Deep Unfolding Network with Crayfish Optimization. Int. J. Comput. Intell. Appl. Harish Kumar Taluja, Anuradha Taluja, R. Giri Prasad, Elangovan Muniyandy
2024	J	`jnl`	AI Fuzzy Based Prediction and Prorogation of Alzheimer's Cancer. EAI Endorsed Trans. Pervasive Health Technol. Srinivas Kolli, Elangovan Muniyandy, M. Vamsikrishna, Pramoda Patro
2024	J	`jnl`	Brain Tumor Detection and Classification Using Deep Learning Models on MRI Scans. EAI Endorsed Trans. Pervasive Health Technol. L. Chandra Sekhar Reddy, Elangovan Muniyandy, M. Vamsikrishna, Ch Ravindra
2024	J	`jnl`	Improving brain tumor treatment with better imaging and real-time therapy using quantum dots. Biomed. Signal Process. Control. A. Karthik, S. Shiek Aalam, M. Sivakumar, M. V. Rama Sundari, J. Dafni Rose, Elangovan Muniyandy, A. Rajaram
2024	J	`jnl`	Predictive Modelling for Heart Disease Diagnosis: A Comparative Study of Classifiers. EAI Endorsed Trans. Pervasive Health Technol. Nidhi Agarwal, Deepakshi, J. Harikiran, Yampati Bhagya Lakshmi, Aylapogu Pramod Kumar, Elangovan Muniyandy, Amit Verma
2024	J	`jnl`	Predictive Modelling for Parkinson's Disease Diagnosis using Biomedical Voice Measurements. EAI Endorsed Trans. Pervasive Health Technol. Ruby Dahiya, Virendra Kumar Dahiya, Deepakshi, Nidhi Agarwal, Lakshmana Phaneendra Maguluri, Elangovan Muniyandy
2024	J	`jnl`	Rule Based Mamdani Fuzzy Inference System to Analyze Efficacy of COVID19 Vaccines. EAI Endorsed Trans. Pervasive Health Technol. Poonam Mittal, S. P. Abirami, Puppala Ramya, Balajee J, Elangovan Muniyandy
2024	J	`jnl`	Transactive energy management system for smart grids using Multi-Agent Modeling and Blockchain. Sustain. Comput. Informatics Syst. Maganti Syamala, Uma Gowri, D. Vijendra Babu, A. Sahaya Anselin Nisha, Mohammed Altaf Ahmed, Elangovan Muniyandy
2023	J	`jnl`	Adaptive Fuzzy Logic Deep-Learning Equalizer for Mitigating Linear and Nonlinear Distortions in Underwater Visible Light Communication Systems. Sensors Radhakrishnan Rajalakshmi, Sivakumar Pothiraj, Miroslav Mahdal, Elangovan Muniyandy
2023	J	`jnl`	Contextual Cluster-Based Glow-Worm Swarm Optimization (GSO) Coupled Wireless Sensor Networks for Smart Cities. Sensors P. S. Ramesh, P. Srivani, Miroslav Mahdal, Lingala Sivaranjani, Shafiqul Abidin, Shivakumar Kagi, Elangovan Muniyandy
2023	J	`jnl`	Detection and Mitigation of IoT-Based Attacks Using SNMP and Moving Target Defense Techniques. Sensors Rajakumaran Gayathri, Shola Usharani, Miroslav Mahdal, Rajasekharan Vezhavendhan, Rajiv Vincent, Murugesan Rajesh, Elangovan Muniyandy
2023	J	`jnl`	Enhanced Dual-Selection Krill Herd Strategy for Optimizing Network Lifetime and Stability in Wireless Sensor Networks. Sensors Allam Balaram, Rajendiran Babu, Miroslav Mahdal, Dowlath Fathima, Neeraj Panwar, Janjhyam Venkata Naga Ramesh, Elangovan Muniyandy
2023	J	`jnl`	Point Sampling Net: Revolutionizing Instance Segmentation in Point Cloud Data. IEEE Access Nandhagopal Gomathi, Krishnamoorthi Rajathi, Miroslav Mahdal, Elangovan Muniyandy
2023	J	`jnl`	Self-Supervised Wavelet-Based Attention Network for Semantic Segmentation of MRI Brain Tumor. Sensors Govindarajan Anusooya, Selvaraj Bharathiraja, Miroslav Mahdal, Kamsundher Sathyarajasekaran, Elangovan Muniyandy
2022	J	`jnl`	An Efficient Chaos-Based Image Encryption Technique Using Bitplane Decay and Genetic Operators. Sensors Ramesh Premkumar, Miroslav Mahdal, Elangovan Muniyandy

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.