Raghavendra Pradyumna Pothukuchi

25 papers A* 5A 2B 4Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Dataflow-Specific Algorithms for Resource-Constrained Scheduling and Memory Design. SPAA Abhishek Bhattacharjee, Quanquan C. Liu, Rajit Manohar, Raghavendra Pradyumna Pothukuchi, Muhammed Ugur
2025	J	`jnl`	Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation. CoRR Renee Sirbu, Jessica Morley, Tyler Schroder, Mariarosaria Taddeo, Raghavendra Pradyumna Pothukuchi, Muhammed Ugur, Abhishek Bhattacharjee, Luciano Floridi
2024	J	`jnl`	Distributed Brain-Computer Interfacing With a Networked Multiaccelerator Architecture. IEEE Micro Raghavendra Pradyumna Pothukuchi, Karthik Sriram, Michal Gerasimiuk, Muhammed Ugur, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee
2024	B	`conf`	FriendlyFoe: Adversarial Machine Learning as a Practical Architectural Defense against Side Channel Attacks. PACT Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas
2024	J	`jnl`	Swapping-Centric Neural Recording Systems. CoRR Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee
2024	J	`jnl`	The Interplay of Computing, Ethics, and Policy in Brain-Computer Interface Design. CoRR Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee
2024	J	`jnl`	Towards Forever Access for Implanted Brain-Computer Interfaces. CoRR Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee
2023	J	`jnl`	A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing. CoRR Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michal Gerasimiuk, Oliver Ye, Muhammed Ugur, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee
2023	J	`jnl`	Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation. CoRR Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas
2023	J	`jnl`	HALO: A Hardware-Software Co-Designed Processor for Brain-Computer Interfaces. IEEE Micro Karthik Sriram, Ioannis Karageorgos, Xiayuan Wen, Ján Veselý, Nick Lindsay, Michael Wu, Lenny Khazan, Raghavendra Pradyumna Pothukuchi, Rajit Manohar, Abhishek Bhattacharjee
2023	J	`jnl`	Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks. CoRR Ketaki Joshi, Raghavendra Pradyumna Pothukuchi, Andre Wibisono, Abhishek Bhattacharjee
2023	A	`conf`	Prefetching Using Principles of Hippocampal-Neocortical Interaction. HotOS Michael Wu, Ketaki Joshi, Andrew Sheinberg, Guilherme Cox, Anurag Khandelwal, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee
2023	J	`jnl`	Quantum Cognitive Modeling: New Applications and Systems Research Directions. CoRR Raghavendra Pradyumna Pothukuchi, Leon Lufkin, Yu Jun Shen, Alejandro Simon, Rome Thorstenson, Bernardo Eilert Trevisan, Michael Tu, Mudi Yang, Ben Foxman, Viswanatha Srinivas Pothukuchi, Gunnar Epping, Bryant J. Jongkees, Thi Ha Kyaw, Jerome R. Busemeyer, Jonathan D. Cohen, Abhishek Bhattacharjee
2023	A*	`conf`	SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing. ISCA Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michal Gerasimiuk, Muhammed Ugur, Oliver Ye, Rajit Manohar, Anurag Khandelwal, Abhishek Bhattacharjee
2022	A	`conf`	Distill: Domain-Specific Compilation for Cognitive Models. CGO Ján Veselý, Raghavendra Pradyumna Pothukuchi, Ketaki Joshi, Samyak Gupta, Jonathan D. Cohen, Abhishek Bhattacharjee
2021	J	`jnl`	Cognac: Domain-Specific Compilation for Cognitive Models. CoRR Ján Veselý, Raghavendra Pradyumna Pothukuchi, Ketaki Joshi, Samyak Gupta, Jonathan D. Cohen, Abhishek Bhattacharjee
2021	A*	`conf`	Maya: Using Formal Control to Obfuscate Power Side Channels. ISCA Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Alexander G. Schwing, Josep Torrellas
2020	—	`—`	Intelligent systems for efficiency and security Raghavendra Pradyumna Pothukuchi
2019	J	`jnl`	Maya: Falsifying Power Sidechannels with Operating System Support. CoRR Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas
2019	A*	`conf`	Tangram: Integrated Control of Heterogeneous Computers. MICRO Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros G. Voulgaris, Josep Torrellas
2018	—	`conf`	Structured Singular Value Control for Modular Resource Management in Multilayer Computers. CDC Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas
2018	A*	`conf`	Yukta: Multilayer Resource Controllers to Maximize Efficiency. ISCA Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas
2017	B	`conf`	Multilayer Compute Resource Management with Robust Control Theory. PACT Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas
2017	B	`conf`	Sthira: A Formal Approach to Minimize Voltage Guardbands under Variation in Networks-on-Chip for Energy Efficiency. PACT Raghavendra Pradyumna Pothukuchi, Amin Ansari, Bhargava Gopireddy, Josep Torrellas
2016	A*	`conf`	Using Multiple Input, Multiple Output Formal Control to Maximize Resource Efficiency in Architectures. ISCA Raghavendra Pradyumna Pothukuchi, Amin Ansari, Petros G. Voulgaris, Josep Torrellas

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.