Uttam D. Kolekar

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Resource Allocation in Macrocell-Femtocells via Combined Rain and Whale Optimization Algorithm. Cybern. Syst. Shailaja Sanjay Mohite, Uttam D. Kolekar
2024	J	`jnl`	Interference management and power scheduling in femtocell networks with the optimized power scheduling BiLSTM. Comput. Electr. Eng. Shailaja Sanjay Mohite, Uttam D. Kolekar, Juber Shaphi Mulla, Santoshi Bhakte, Priya Shinde, Patil Jaydip
2023	J	`jnl`	Firefly-Aquila optimized Deep Q network for handoff management in context aware video streaming-based heterogeneous wireless networks. Web Intell. Uttam Waghmode, Uttam D. Kolekar
2022	J	`jnl`	A hybrid optimization model for resource allocation in OFDM-based cognitive radio system. Evol. Intell. Sameer Suresh Nanivadekar, Uttam D. Kolekar
2022	J	`jnl`	Fuzzy-based decisive approach for call admission control in the LTE networks. Evol. Intell. Vaishali Satish Jadhav, Uttam D. Kolekar
2022	J	`jnl`	T-TOHIP: Trust-based topology-hiding multipath routing in mobile ad hoc network. Evol. Intell. Rahul K. Ambekar, Uttam D. Kolekar
2021	J	`jnl`	Modified Naïve Bayes Classifier for Mode Switching and Mobility Management Using Cellular Networks. Wirel. Pers. Commun. Pallavi V. Sapkale, Uttam D. Kolekar
2020	J	`jnl`	E-TDGO: An encrypted trust-based dolphin glowworm optimization for secure routing in mobile ad hoc network. Int. J. Commun. Syst. Moresh Madhukar Mukhedkar, Uttam D. Kolekar
2019	J	`jnl`	Heuristics approach to speeding up saliency detection. Signal Image Video Process. Omprakash S. Rajankar, Uttam D. Kolekar, Sanjay N. Talbar
2019	J	`jnl`	Trust-Based Secure Routing in Mobile Ad Hoc Network Using Hybrid Optimization Algorithm. Comput. J. Moresh Madhukar Mukhedkar, Uttam D. Kolekar
2018	J	`jnl`	FL-TOHIP (Fractional Lion Algorithm to Topology-Hiding Multipath Routing Protocol) in Mobile ad hoc Network. J. Intell. Syst. Rahul K. Ambekar, Uttam D. Kolekar
2018	J	`jnl`	Optimal transmit antenna selection for LTE system using self-adaptive grey wolf optimization. Multiagent Grid Syst. Nitin Deotale, Uttam D. Kolekar, Anuradha Kondelwar
2008	—	`conf`	Performance Analysis of Real and Non Real Time Traffic over WLAN Using Connection Admission Control Policy. EMS Deepak Chatrabhuj Karia, Uttam D. Kolekar

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.