Abhishek Vashist

16 papers C 3Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Evaluation of 60 GHz Wireless Connectivity for an Automated Warehouse Suitable for Industry 4.0. Inf. Rahul Singh Gulia, Abhishek Vashist, Amlan Ganguly, Clark Hochgraf, Michael E. Kuhl
2022	C	`conf`	DQN Based Exit Selection in Multi-Exit Deep Neural Networks for Applications Targeting Situation Awareness. ICCE Abhishek Vashist, Sharan Vidash Vidya Shanmugham, Amlan Ganguly, Sai Manoj P. D.
2022	C	`conf`	Evaluation of Wireless Connectivity in an Automated Warehouse at 60 GHz. ICCE Rahul Singh Gulia, Sayed Ashraf Mamun, Abhishek Vashist, Amlan Ganguly, Clark Hochgraf, Andres Kwasinski, Michael E. Kuhl
2022	J	`jnl`	KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware. IEEE Consumer Electron. Mag. Abhishek Vashist, Maojia Patrick Li, Amlan Ganguly, Sai Manoj P. D., Clark Hochgraf, Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl
2021	J	`jnl`	AWARe-Wi: A jamming-aware reconfigurable wireless interconnection using adversarial learning for multichip systems. Sustain. Comput. Informatics Syst. M. Meraj Ahmed, Amlan Ganguly, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao
2020	—	`conf`	Architecting a Secure Wireless Interconnect for Multichip Communication: An ML Approach. AsianHOST M. Meraj Ahmed, Abhishek Vashist, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2020	—	`conf`	Improving Multimodal Localization Through Self-Supervision. IRIACV Robert Relyea, Darshan Ramesh Bhanushali, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
2020	C	`conf`	Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. ICCE Abhishek Vashist, Darshan Ramesh Bhanushali, Robert Relyea, Clark Hochgraf, Amlan Ganguly, Sai Manoj P. D., Raymond W. Ptucha, Andres Kwasinski, Michael E. Kuhl
2020	—	`conf`	LiDAR-Camera Fusion for 3D Object Detection. Autonomous Vehicles and Machines Darshan Ramesh Bhanushali, Robert Relyea, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
2019	—	`conf`	Multimodal Localization for Autonomous Agents. IRIACV Robert Relyea, Darshan Ramesh Bhanushali, Abhishek Vashist, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond W. Ptucha
2019	—	`conf`	Securing a Wireless Network-on-Chip Against Jamming Based Denial-of-Service Attacks. ISVLSI Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2019	J	`jnl`	Securing a Wireless Network-on-Chip Against Jamming-Based Denial-of-Service and Eavesdropping Attacks. IEEE Trans. Very Large Scale Integr. Syst. Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2019	J	`jnl`	Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips. ACM Trans. Embed. Comput. Syst. Abhishek Vashist, Andrew Keats, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2018	J	`jnl`	A Traffic-Aware Medium Access Control Mechanism for Energy-Efficient Wireless Network-on-Chip Architectures. CoRR Naseef Mansoor, Abhishek Vashist, M. Meraj Ahmed, Md Shahriar Shamim, Syed Ashraf Mamun, Amlan Ganguly
2018	—	`conf`	Testing WiNoC-Enabled Multicore Chips with BIST for Wireless Interconnects. NOCS Abhishek Vashist, Amlan Ganguly, Mark A. Indovina
2017	—	`conf`	Intra-chip Wireless Interconnect: The Road Ahead. NoCArc@MICRO Amlan Ganguly, Naseef Mansoor, Md Shahriar Shamim, M. Meraj Ahmed, Rounak Singh Narde, Abhishek Vashist, Jayanti Venkataraman

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.