T. Senthil Kumar

21 papers Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Innovative Ladybug Beetle Optimized Multi-Granularity Gated Temporal Convolutional Network for Resource Allocation in 5G Wireless Networks. Int. J. Commun. Syst. T. Senthil Kumar, N. Kanimozhi, V. Sangeetha, S. Lavanya
2025	J	`jnl`	Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks. J. King Saud Univ. Comput. Inf. Sci. T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali
2025	J	`jnl`	Deep learning-based malignancy prediction in thyroid nodules. Int. J. Medical Eng. Informatics L. Mohana Sundari, M. S. Maharajan, T. Senthil Kumar, Leo John Baptist Andrews
2025	J	`jnl`	Detection and classification of Alzheimer's using super-resolution algorithm and convolutional neural network. Int. J. Medical Eng. Informatics T. Senthil Kumar, Ashok Vajravelu, R. Muthalagu, P. Sri Latha
2025	J	`jnl`	Detection of diabetic retinopathy severity from fundus images: DCNN. Int. J. Medical Eng. Informatics T. Senthil Kumar, R. Muthalagu, L. Mohana Sundari, M. Nalini
2025	J	`jnl`	Develop a novel, faster mask region-based convolutional neural network model with leave-one-subject-out to predict freezing of gait abnormalities of Parkinson's disease. Neural Comput. Appl. J. Ezhilarasi, T. Senthil Kumar
2025	J	`jnl`	Improved Interpretation Model for Heart Disease Diagnosis Using Artificial Neural Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. F. Syed Anwar Hussainy, J. Jayapradha, Mardeni Roslee, T. Senthil Kumar, Chilakala Sudhamani, Sufian Mousa Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali
2025	J	`jnl`	Ticket-Based Schemes for Anonymity and Authentication on Wireless Mobile Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. J. Jayapradha, Mardeni Roslee, T. Senthil Kumar, Chilakala Sudhamani, Sufian Mousa Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali
2024	J	`jnl`	A novel method to detect and classify Alzheimer using naive Bayes classification algorithm. Int. J. Medical Eng. Informatics C. Ravichandran, T. Senthil Kumar, K. Balaji, Kavitha Sandanam, Chandrasekaran Sivakumaran
2024	J	`jnl`	An efficient VLSI architecture for fast motion estimation by hybridizing parallel spiral and adaptive threshold star diamond search algorithm-based search algorithm in HEVC. Concurr. Comput. Pract. Exp. R. Satheeskumar, Bonam Raghavaiah, Geerthik S, T. Senthil Kumar
2024	—	`conf`	Detection of Malware Utilizing Neural Networks and Machine Learning Methods. ICCCNT Velpula Nithin Krishna, T. Senthil Kumar, T. Gireesh Kumar, Anjali Tibrewal, Kartik Srinivasan, Sulakshan Vajipayajula
2023	J	`jnl`	A deep learning neural network strategy for secure wireless communication in electronic health record surveillance. Int. J. Electron. Heal. T. Senthil Kumar, L. Mohana Sundari, R. Muthalagu, K. Periyarselvam
2023	J	`jnl`	Security enhancement in wireless sensors using blockchain technology. Int. J. Electron. Secur. Digit. Forensics C. Ravichandran, Ravi Kumar, T. Senthil Kumar, Ravi Kishore Veluri
2023	J	`jnl`	Utilising blockchain technology to provide safety for smart home networks. Int. J. Electron. Secur. Digit. Forensics T. Senthil Kumar, Leo John Baptist Andrews, M. Madhini, K. Hemalatha
2022	J	`jnl`	Deep Learning Methods for Lung Cancer Nodule Classification: A Survey. J. Mobile Multimedia Pavan Kumar Illa, T. Senthil Kumar, F. Syed Anwar Hussainy
2020	J	`jnl`	Comparative Analysis of the Fuzzy C-Means and Neuro-Fuzzy Systems for Detecting Retinal Disease. Circuits Syst. Signal Process. T. Senthil Kumar, D. Kumutha
2018	J	`jnl`	Geometric mean filter with grayscale morphological method to enhance the RNFL thickness in the SD-OCT images. Multim. Tools Appl. T. Senthil Kumar, K. Helen Prabha
2017	—	`conf`	Survey on Various Traffic Monitoring and Reasoning Techniques. CSOC (1) H. Haritha, T. Senthil Kumar
2015	—	`conf`	Debris Detection and Tracking System in Water Bodies Using Motion Estimation Technique. IBICA T. Senthil Kumar, K. S. Gautam, H. Haritha
2015	—	`conf`	Dental Image Retrieval Using Fused Local Binary Pattern & Scale Invariant Feature Transform. SIRS Suganya Suganya, S. Rajaram, S. Vishalini, R. Meena, T. Senthil Kumar
2014	—	`conf`	Improvised Classification Model for Cloud Based Authentication Using Keystroke Dynamics. FCC T. Senthil Kumar, Abhijit Suresh, Aadarsh Karumathil

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.