Tanmay Vilas Samak

32 papers A* 1A 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sim2Real Diffusion: Leveraging Foundation Vision Language Models for Adaptive Automated Driving. IEEE Robotics Autom. Lett. Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li, Venkat Krovi
2025	J	`jnl`	A Systematic Digital Engineering Approach to Verification & Validation of Autonomous Ground Vehicles in Off-Road Environments. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Julia Brault, Cori Harber, Kirsten McCane, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Venkat N. Krovi
2025	A*	`conf`	Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy. ICRA Chinmay Vilas Samak, Tanmay Vilas Samak, Ajinkya Joglekar, Umesh G. Vaidya, Venkat N. Krovi
2025	J	`jnl`	Digital Twins in the Cloud: A Modular, Scalable and Interoperable Framework for Accelerating Verification and Validation of Autonomous Driving Solutions. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Giovanni Martino, Pranav Nair, Venkat Krovi
2025	J	`jnl`	Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies. IEEE Robotics Autom. Lett. Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi
2025	J	`jnl`	Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Bing Li, Venkat Krovi
2025	J	`jnl`	When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Driving. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Bing Li, Venkat Krovi
2024	J	`jnl`	A Scalable and Parallelizable Digital Twin Framework for Sustainable Sim2Real Transition of Multi-Agent Reinforcement Learning Systems. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi
2024	J	`jnl`	Autonomy Oriented Digital Twins for Real2Sim2Real Autoware Deployment. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak
2024	J	`jnl`	Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Ajinkya Joglekar, Umesh Vaidya, Venkat Krovi
2024	J	`jnl`	Metaverse for Safer Roadways: An Immersive Digital Twin Framework for Exploring Human-Autonomy Coexistence in Urban Transportation Systems. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Venkat Narayan Krovi
2024	J	`jnl`	Nigel - Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Javad Mohammadpour Velni, Venkat Narayan Krovi
2024	J	`jnl`	Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Joey Binz, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Feng Luo, Venkat Krovi
2024	—	`conf`	Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework. AIM Tanmay Vilas Samak, Chinmay Vilas Samak, Venkat Narayan Krovi
2024	J	`jnl`	Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Venkat Narayan Krovi
2023	J	`jnl`	AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education. Robotics Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy, Venkat Krovi, Ming Xie
2023	A	`conf`	Data-Driven Modeling and Experimental Validation of Autonomous Vehicles Using Koopman Operator: Distribution A: Approved for Public Release; Distribution Unlimited. OPSEC # 7248. IROS Ajinkya Joglekar, Sarang Sutavani, Chinmay Vilas Samak, Tanmay Vilas Samak, Krishna Chaitanya Kosaraju, Jonathon M. Smereka, David J. Gorsich, Umesh Vaidya, Venkat Krovi
2023	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Venkat Krovi
2023	—	`conf`	Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles. AIM Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi
2023	J	`jnl`	Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi
2023	J	`jnl`	Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Venkat Krovi
2022	J	`jnl`	AutoDRIVE - Technical Report. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak
2022	J	`jnl`	AutoDRIVE Simulator - Technical Report. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak
2022	J	`jnl`	AutoDRIVE: A Comprehensive, Flexible and Integrated Cyber-Physical Ecosystem for Enhancing Autonomous Driving Research and Education. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy, Venkat Krovi, Ming Xie
2021	—	`conf`	AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education. CCRIS Tanmay Vilas Samak, Chinmay Vilas Samak, Ming Xie
2021	J	`jnl`	AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Ming Xie
2021	J	`jnl`	Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
2021	—	`conf`	Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars. AIR Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
2021	J	`jnl`	Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
2020	J	`jnl`	Control Strategies for Autonomous Vehicles. CoRR Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
2020	J	`jnl`	Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning. CoRR Sivanathan Kandhasamy, Vinayagam Babu Kuppusamy, Tanmay Vilas Samak, Chinmay Vilas Samak
2020	J	`jnl`	Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation Learning. CoRR Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy

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.