Utkarsh Upadhyay

32 papers A* 5A 5Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Starlink Constellation: Deployment, Configuration, and Dynamics. CoRR Muaz Ali, Utkarsh Upadhyay, Sean McCormick, Joseph Hill, Beichuan Zhang
2025	—	`conf`	Secure Data Transmission via Integrity-Preserving and Lossless File-to-Image Sequence Encoding. ICACDS Jatin Joshi, Kuhu Vyas, Utkarsh Upadhyay, Kunj Bihari Meena, Vipin Tyagi
2023	—	`conf`	Access, Excellence and Scale in India's National Programme for Technology-Enabled Learning (NPTEL): Identifying the Hidden Gaps. TALE Philip Rachel, Utkarsh Upadhyay
2021	—	`—`	Models and Methods for Dissemination of Information and Knowledge Online. Utkarsh Upadhyay
2020	A	`conf`	Can A User Guess What Her Followers Want? WSDM Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2020	—	`conf`	Classification of Cuisines from Sequentially Structured Recipes. ICDE Workshops Tript Sharma, Utkarsh Upadhyay, Ganesh Bagler
2020	J	`jnl`	Classification of Cuisines from Sequentially Structured Recipes. CoRR Tript Sharma, Utkarsh Upadhyay, Ganesh Bagler
2020	—	`conf`	Hierarchical Clustering of World Cuisines. ICDE Workshops Tript Sharma, Utkarsh Upadhyay, Jushaan Singh Kalra, Sakshi Arora, Saad Ahmad, Bhavay Aggarwal, Ganesh Bagler
2020	J	`jnl`	Hierarchical Clustering of World Cuisines. CoRR Tript Sharma, Utkarsh Upadhyay, Jushaan Singh Kalra, Sakshi Arora, Saad Ahmad, Bhavay Aggarwal, Ganesh Bagler
2020	J	`jnl`	Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively. CoRR Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez
2020	A*	`conf`	Learning to Crawl. AAAI Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2020	J	`jnl`	RecipeDB: a resource for exploring recipes. Database J. Biol. Databases Curation Devansh Batra, Nirav Diwan, Utkarsh Upadhyay, Jushaan Singh Kalra, Tript Sharma, Aman Kumar Sharma, Dheeraj Khanna, Jaspreet Singh Marwah, Srilakshmi Kalathil, Navjot Singh, Rudraksh Tuwani, Ganesh Bagler
2019	J	`jnl`	Can A User Anticipate What Her Followers Want? CoRR Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2019	J	`jnl`	Learning to Crawl. CoRR Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2019	A	`conf`	On the Complexity of Opinions and Online Discussions. WSDM Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2018	A*	`conf`	Deep Reinforcement Learning of Marked Temporal Point Processes. NeurIPS Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez
2018	J	`jnl`	Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
2018	J	`jnl`	On the Complexity of Opinions and Online Discussions. CoRR Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2018	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2018	J	`jnl`	Stochastic Optimal Control of Epidemic Processes in Networks. CoRR Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2017	A*	`conf`	A Broad View of the Ecosystem of Socially Engineered Exploit Documents. NDSS Stevens Le Blond, Cédric Gilbert, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, David R. Choffnes
2017	J	`jnl`	Optimizing Human Learning. CoRR Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A	`conf`	RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. WSDM Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. J. Mach. Learn. Res. Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	A	`conf`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2016	A*	`conf`	Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. KDD Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song
2016	J	`jnl`	RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. CoRR Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2016	J	`jnl`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2012	A	`conf`	MPTCP is not pareto-optimal: performance issues and a possible solution. CoNEXT Ramin Khalili, Nicolas Gast, Miroslav Popovic, Utkarsh Upadhyay, Jean-Yves Le Boudec
2012	A*	`conf`	Real-time automated modeling and control of self-assembling systems. ICRA Grégory Mermoud, Massimo Mastrangeli, Utkarsh Upadhyay, Alcherio Martinoli
2010	—	`conf`	A Parallel Algorithm for Solving Large Convex Minimax Problems. SEAL Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, Joydeep Dutta
2010	—	`conf`	Top-Down vs. Bottom-Up Model-Based Methodologies for Distributed Control: A Comparative Experimental Study. ISER Grégory Mermoud, Utkarsh Upadhyay, William C. Evans, Alcherio Martinoli

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.