P. Suresh Kumar

15 papers Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Real-Time Performance Validation With Hardware-in-the-Loop and Energy Optimization of Electric Vehicle Motor Drives Using Fuzzy Logic Controller. IEEE Access S. Gokul Krishnan, P. Suresh Kumar, S. Sowrish Karthick, R. Abhinav, E. Porpatham, Thangaraja Jeyaseelan
2025	J	`jnl`	Intelligent Predictive Battery Management System with Optimized Bayesian LSTM Network for Lithium-Ion Batteries. Int. J. Pattern Recognit. Artif. Intell. P. Suresh Kumar, Niresh Jayarajan
2024	J	`jnl`	Real-time testing of AI enabled automatic emergency braking system for ADAS vehicle using 3D point cloud and precise depth information. Internet Things Nadheem Nassar Matara, P. Suresh Kumar, O. Karthik Krishnan, Yashas Katte
2023	J	`jnl`	Fuzzy clustering and optimal routing in wireless sensor network. J. Intell. Fuzzy Syst. P. Suresh Kumar, A. Barkathulla
2022	J	`jnl`	A pragmatic ensemble learning approach for effective software effort estimation. Innov. Syst. Softw. Eng. P. Suresh Kumar, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik
2021	J	`jnl`	Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature. Innov. Syst. Softw. Eng. P. Suresh Kumar, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik
2021	—	`conf`	In-Vehicle Speech Command Operated Driver Assist System for Vehicle Actuators Control using Deep Learning Techniques. ICCCSP Prasanna Gawade, P. Suresh Kumar
2021	J	`jnl`	Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India. SN Comput. Sci. H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, P. Suresh Kumar
2021	—	`conf`	Object detection, 3-D coordinate extraction and pose estimation for an autonomous medical robot. ICCCSP A. V. S. Bharath Chandra, P. C. Manojkumar, M. Bhargav Tharun, G. Rahul, P. Suresh Kumar
2020	J	`jnl`	Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades. Comput. Sci. Rev. P. Suresh Kumar, Himansu Sekhar Behera, Anisha Kumari K, Janmenjoy Nayak, Bighnaraj Naik
2019	J	`jnl`	Segmentation and Boundary Detection of Fetal Kidney Images in Second and Third Trimesters Using Kernel-Based Fuzzy Clustering. J. Medical Syst. S. Meenakshi, M. Suganthi, P. Suresh Kumar
2019	—	`conf`	Teaching Learning Aspects for Current Technical Education. AHFE (12) N. Prasanthi Kumari, P. Suresh Kumar
2018	J	`jnl`	A study on impact of untrustworthy and older recommendations over T-Grid computational model. Int. J. Syst. Assur. Eng. Manag. P. Suresh Kumar, S. Ramachandram
2017	—	`conf`	Fuzzy-Based Integration of Security and Trust in Distributed Computing. SocProS (1) P. Suresh Kumar, S. Ramachandram
2012	J	`jnl`	Purging of untrustworthy recommendations from a grid CoRR P. Suresh Kumar, P. Sateesh Kumar, Ramachandram Sirandas

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.