Umesh A. Deshpande

18 papers B 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Social characteristics-based routing algorithm for a mobile social network. Computing Milind R. Penurkar, Umesh A. Deshpande
2019	J	`jnl`	A Thermal Aware Routing Algorithm for a Wireless Body Area Network. Wirel. Pers. Commun. K. S. Kathe, Umesh A. Deshpande
2018	J	`jnl`	Geotagging Text Data on the Web - A Geometrical Approach. IEEE Access Mansi A. Radke, Nitin Gautam, Akhil Tambi, Umesh A. Deshpande, Zareen Syed
2016	J	`jnl`	Agent-Based Deterministic Modeling of the Bone Marrow Homeostasis. Adv. Bioinformatics Manish P. Kurhekar, Umesh A. Deshpande
2016	—	`conf`	An asynchronous algorithm for providing energy efficient coverage and connectivity in Wireless Sensor Networks. ANTS Nishat Afshan Ansari, Umesh A. Deshpande, S. P. Mohammad
2016	—	`conf`	OPPRES: Opportunistic Routing algorithm for routing messages in emergency situations using vehicular delay tolerant network. ANTS Milind R. Penurkar, Umesh A. Deshpande
2015	J	`jnl`	Agent based deterministic model of the adult subventricular neurogenesis. Nano Commun. Networks Manish P. Kurhekar, Umesh A. Deshpande
2014	—	`conf`	A Deterministic Model of the Adult Subventricular Neurogenesis. BICT Manish P. Kurhekar, Umesh A. Deshpande
2014	—	`conf`	Geo skip list data structure - storing spatial data and efficient search of geographical locations. ICACCI Amol Barewar, Mansi A. Radke, Umesh A. Deshpande
2013	J	`jnl`	A stock market portfolio recommender system based on association rule mining. Appl. Soft Comput. Preeti Paranjape-Voditel, Umesh A. Deshpande
2012	—	`conf`	A Deterministic Model of Bone Marrow with Homeostatic Properties and with Steady Production of Differentiated Cells. BIOINFORMATICS Manish P. Kurhekar, Umesh A. Deshpande
2012	—	`conf`	Hierarchical Action Selection for Reinforcement Learning in Infinite Mario. STAIRS Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh A. Deshpande, Shiwali Mohan
2012	B	`conf`	Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario. ICTAI Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh A. Deshpande, Shiwali Mohan
2011	J	`jnl`	A DIC-based Distributed Algorithm for Frequent Itemset Generation. J. Softw. Preeti Paranjape-Voditel, Umesh A. Deshpande
2005	J	`jnl`	Performance enhancement of a contract net protocol based system through instance-based learning. IEEE Trans. Syst. Man Cybern. Part B Umesh A. Deshpande, Arobinda Gupta, Anupam Basu
2004	J	`jnl`	Coordinated problem solving through resource sharing in a distributed environment. IEEE Trans. Syst. Man Cybern. Part B Umesh A. Deshpande, Arobinda Gupta, Anupam Basu
2004	J	`jnl`	Task assignment with imprecise information for real-time operation in a supply chain. Appl. Soft Comput. Umesh A. Deshpande, Arobinda Gupta, Anupam Basu
2002	—	`conf`	Adaptive Fault Tolerant Hospital Resource Scheduling. OTM Umesh A. Deshpande, Arobinda Gupta, Anupam Basu

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.