Rajat Agrawal - RankMe

16 papers A* 1A 1C 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Evaluating Operational Efficiency Trends in India's Major Ports: A Data Envelopment Analysis (DEA) with Variable Returns to Scale. ICORES Pankaj Kumar Detwal, Rajat Agrawal
2026	C	`conf`	Probabilistic Risk Assessment Framework for Nascent Supply Chain Demonstrated through the Case of CBG in India Integrating Synthetic and Real Data. ICORES Anindita Sarker, Rajat Agrawal
2025	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints. IEEE Trans Autom. Sci. Eng. Manav Mishra, Prithvi Poddar, Rajat Agrawal, Jingxi Chen, Pratap Tokekar, P. B. Sujit
2024	A	`conf`	OAS-GPUCB: On-the-way Adaptive Sampling Using GPUCB for Bathymetry Mapping. IROS Rajat Agrawal, Karthik Nambiar, Bhawana Chhaglani, Mandar A. Chitre, P. B. Sujit
2024	J	`jnl`	Optimal establishment of processing unit and partner selection problem of perishable product supply chain: apple case study of India. RAIRO Oper. Res. Manisha Bhardwaj, Rajat Agrawal
2023	J	`jnl`	A COLREGs-Compliant Conflict Resolution Strategy for Autonomous Surface Vehicles. CoRR Raghav Thakar, Rajat Agrawal, Sujit PB
2023	J	`jnl`	Metaheuristics in circular supply chain intelligent systems: A review of applications journey and forging a path to the future. Eng. Appl. Artif. Intell. Pankaj Kumar Detwal, Rajat Agrawal, Ashutosh Samadhiya, Anil Kumar
2023	J	`jnl`	Regenerating the logistics industry through the Physical Internet Paradigm: A systematic literature review and future research orchestration. Comput. Ind. Eng. Ashutosh Samadhiya, Rajat Agrawal, Anil Kumar, Jose Arturo Garza-Reyes
2022	J	`jnl`	PADaaV: Blockchain-Based Parking Price Prediction Scheme for Sustainable Traffic Management. IEEE Access Riya Kakkar, Jafar Ahmad Abed Alzubi, Amit Dua, Smita Agrawal, Sudeep Tanwar, Rajat Agrawal, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma
2021	—	`conf`	Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages - Using Thunderstorm and Cyclone as Case Studies. ICRMAT Annie Singla, Rajat Agrawal, Nguyen Thi Dieu Linh
2021	—	`conf`	Exploring Critical Events of Perishable Product Supply Chain Using Fault Tree Methodology to Deal with Impacts of COVID-19. IEEM Manisha Bhardwaj, Rajat Agrawal
2020	—	`conf`	Application of Fault Tree Analysis and Petri Net Modeling in Perishable Product Supply Chain. IEEM Manisha Bhardwaj, Rajat Agrawal
2015	J	`jnl`	IT enablement in sugar supply chain: an approach for farmers. Int. J. Bus. Perform. Supply Chain Model. Rupesh Kumar, Rajat Agrawal, Vinay Sharma
2015	J	`jnl`	Making strategy process intelligent with business intelligence: an empirical investigation. Int. J. Data Anal. Tech. Strateg. Sanjeev Arora, Vinay Kumar Nangia, Rajat Agrawal
2012	A*	`conf`	Improving literacy in developing countries using speech recognition-supported games on mobile devices. CHI Anuj Kumar, Pooja Reddy, Anuj Tewari, Rajat Agrawal, Matthew Kam
2008	J	`jnl`	On the Thermal Elevation of a 60-Electrode Epiretinal Prosthesis for the Blind. IEEE Trans. Biomed. Circuits Syst. Vinit Singh, Arup Roy, Richard Castro, Kelly McClure, Rongching Dai, Rajat Agrawal, Robert J. Greenberg, James D. Weiland, Mark S. Humayun, Gianluca Lazzi

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.