Umar Farooq - RankMe

31 papers A* 2A 3B 4C 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems. CoRR Daniel Liu, Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq
2026	J	`jnl`	MobileDev-Bench: A Comprehensive Benchmark for Evaluating Language Models on Mobile Application Development. CoRR Moshood A. Fakorede, Krishna Upadhyay, A. B. Siddique, Umar Farooq
2025	J	`jnl`	A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions. CoRR Vinaik Chhetri, Yousaf Reza, Moghis Fereidouni, Srijata Maji, Umar Farooq, A. B. Siddique
2025	B	`conf`	A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems. IEEE Big Data Daniel Liu, Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq
2025	J	`jnl`	Analyzing the Evolution and Maintenance of Quantum Computing Repositories. CoRR Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq
2025	—	`conf`	Analyzing the Evolution and Maintenance of Quantum Software Repositories. QSW Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq
2025	J	`jnl`	Assessing and Enhancing Quantum Readiness in Mobile Apps. CoRR Joseph Strauss, Krishna Upadhyay, A. B. Siddique, Ibrahim Baggili, Umar Farooq
2025	A	`conf`	Exploring Runtime Evolution in Android: A Cross-Version Analysis and Its Implications for Memory Forensics. RAID Babangida Bappah, Lauren G. Bristol, Lamine Noureddine, Sideeq Bello, Umar Farooq, Aisha I. Ali-Gombe
2025	J	`jnl`	Exploring Runtime Evolution in Android: A Cross-Version Analysis and Its Implications for Memory Forensics. CoRR Babangida Bappah, Lauren G. Bristol, Lamine Noureddine, Sideeq Bello, Umar Farooq, Aisha I. Ali-Gombe
2025	A	`conf`	GraCFL: A Holistically Designed Vertex-Centric Graph System for CFL Reachability. ICS Sakib Fuad, Amir Hossein Nodehi Sabet, Umar Farooq, Zhijia Zhao
2025	—	`conf`	INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems. ICSC Muhammad Hasan Maqbool, Moghis Fereidouni, Umar Farooq, A. B. Siddique, Hassan Foroosh
2025	J	`jnl`	INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems. CoRR Muhammad Hasan Maqbool, Moghis Fereidouni, Umar Farooq, A. B. Siddique, Hassan Foroosh
2025	B	`conf`	Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps. IEEE Big Data Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique, Umar Farooq
2025	J	`jnl`	Teaching Quantum Computing through Lab-Integrated Learning: Bridging Conceptual and Computational Understanding. CoRR Umar Farooq, Krishna Upadhyay
2025	J	`jnl`	Understanding Robustness of Model Editing in Code LLMs: An Empirical Study. CoRR Vinaik Chhetri, A. B. Siddique, Umar Farooq
2025	J	`jnl`	What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps. CoRR Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique, Umar Farooq
2024	J	`jnl`	Looking into Black Box Code Language Models. CoRR Muhammad Umair Haider, Umar Farooq, A. B. Siddique, Mark Marron
2024	J	`jnl`	MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations. CoRR Srijata Maji, Moghis Fereidouni, Vinaik Chhetri, Umar Farooq, A. B. Siddique
2023	C	`conf`	Detecting Potential User-data Save & Export Losses due to Android App Termination. AST Sydur Rahaman, Umar Farooq, Iulian Neamtiu, Zhijia Zhao
2023	B	`conf`	Linker Code Size Optimization for Native Mobile Applications. CC Gai Liu, Umar Farooq, Chengyan Zhao, Xia Liu, Nian Sun
2023	A*	`conf`	MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. SIGIR Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh
2023	J	`jnl`	MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation. CoRR Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh
2023	J	`jnl`	Proactive Prioritization of App Issues via Contrastive Learning. CoRR Moghis Fereidouni, Adib Mosharrof, Umar Farooq, A. B. Siddique
2022	B	`conf`	Proactive Prioritization of App Issues via Contrastive Learning. IEEE Big Data Moghis Fereidouni, Adib Mosharrof, Umar Farooq, A. B. Siddique
2021	—	`—`	Runtime, Analysis, and Tools for Reliable Management of Mobile App States. Umar Farooq
2020	J	`jnl`	AARSynth: App-Aware Response Synthesis for User Reviews. CoRR Umar Farooq, A. B. Siddique, Fuad T. Jamour, Zhijia Zhao, Vagelis Hristidis
2020	—	`conf`	App-Aware Response Synthesis for User Reviews. IEEE BigData Umar Farooq, A. B. Siddique, Fuad T. Jamour, Zhijia Zhao, Vagelis Hristidis
2020	J	`jnl`	LiveDroid: identifying and preserving mobile app state in volatile runtime environments. Proc. ACM Program. Lang. Umar Farooq, Zhijia Zhao, Manu Sridharan, Iulian Neamtiu
2019	A*	`conf`	Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach. ASPLOS Lin Jiang, Xiaofan Sun, Umar Farooq, Zhijia Zhao
2018	A	`conf`	RuntimeDroid: Restarting-Free Runtime Change Handling for Android Apps. MobiSys Umar Farooq, Zhijia Zhao
2018	J	`jnl`	RuntimeDroid: Restarting-Free Runtime Change Handling for Android Apps. GetMobile Mob. Comput. Commun. Umar Farooq, Zhijia Zhao

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.