Rahul Sengupta

24 papers C 6Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation. CoRR Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangarajan, Sanjay Ranka, Yashaswi Karnati, Jeremy Dilmore, Tushar Patel, Ryan Casburn
2026	J	`jnl`	Enactor: From Traffic Simulators to Surrogate World Models. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. PAKDD (6) Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. IEEE Trans. Intell. Transp. Syst. Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	Inttrajsim: Trajectory Prediction for Simulating Multi-Vehicle Driving at Signalized Intersections. ITSC Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors. ITSC Nooshin Yousefzadeh, Rahul Sengupta, Jeremy Dilmore, Sanjay Ranka
2025	J	`jnl`	TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Sanjay Ranka
2024	C	`conf`	A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. IV Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Sanjay Ranka
2024	J	`jnl`	Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2024	—	`conf`	MTDT: A Multi-Task Deep Learning Digital Twin. ITSC Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	MTDT: A Multi-Task Deep Learning Digital Twin. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2023	J	`jnl`	Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. IEEE Trans. Intell. Transp. Syst. Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2023	C	`conf`	Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
2023	C	`conf`	Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
2022	—	`conf`	A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. ITSC Tania Banerjee, Ke Chen, Alejandro Almaraz, Rahul Sengupta, Yashaswi Karnati, Bryce Grame, Emmanuel Posadas, Subhadipto Poddar, Robert Schenck, Jeremy Dilmore, Siva Srinivasan, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Trans. Intell. Transp. Syst. Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2021	C	`conf`	Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2021	—	`conf`	TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. ITSC Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2020	—	`conf`	A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. ITSC Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka
2017	C	`conf`	DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning. ICMLA Wei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li
2016	C	`conf`	Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning. ICMLA Rajendra Rana Bhat, Rodrigo Daniel Trevizan, Rahul Sengupta, Xiaolin Li, Arturo S. Bretas

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.