Abhairaj Singh

20 papers A 4C 3Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	SABCIM: Self-Adaptive Biasing Scheme for Accurate and Efficient Analog Compute-in-Memory. ASP-DAC Yashvardhan Biyani, Abhairaj Singh, Rajendra Bishnoi, Said Hamdioui
2025	A	`conf`	Energy-Efficient Multi-Operand XOR Logic-Based CIM Accelerator using RRAM technology. ICCAD Abhairaj Singh, Konstantinos Stavrakakis, Rajendra Bishnoi, Rajiv V. Joshi, Said Hamdioui
2024	J	`jnl`	Designing Circuits for AiMC Based on Non-Volatile Memories: A Tutorial Brief on Trade-Off and Strategies for ADCs and DACs Co-Design. IEEE Trans. Circuits Syst. II Express Briefs Riccardo Vignali, Riccardo Zurla, Marco Pasotti, Pier Luigi Rolandi, Abhairaj Singh, Manuel Le Gallo, Abu Sebastian, Taekwang Jang, Alessio Antolini, Eleonora Franchi Scarselli, Alessandro Cabrini
2023	—	`conf`	A 115.1 TOPS/W, 12.1 TOPS/mm AICAS Abhairaj Singh, Rajendra Bishnoi, Ali Kaichouhi, Sumit Diware, Rajiv V. Joshi, Said Hamdioui
2023	J	`jnl`	Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi
2022	J	`jnl`	A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian
2022	J	`jnl`	A Voltage-Controlled, Oscillation-Based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMs. ACM J. Emerg. Technol. Comput. Syst. Mahta Mayahinia, Abhairaj Singh, Christopher Bengel, Stefan Wiefels, Muath Abu Lebdeh, Stephan Menzel, Dirk J. Wouters, Anteneh Gebregiorgis, Rajendra Bishnoi, Rajiv V. Joshi, Said Hamdioui
2022	A	`conf`	Accelerating RRAM Testing with a Low-cost Computation-in-Memory based DFT. ITC Abhairaj Singh, Moritz Fieback, Rajendra Bishnoi, Filip Bradaric, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui
2022	—	`conf`	CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out. AICAS Abhairaj Singh, Mahdi Zahedi, Taha Shahroodi, Mohit Gupta, Anteneh Gebregiorgis, Manu Komalan, Rajiv V. Joshi, Francky Catthoor, Rajendra Bishnoi, Said Hamdioui
2022	C	`conf`	Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs. VLSI-SoC Anteneh Gebregiorgis, Abhairaj Singh, Sumit Diware, Rajendra Bishnoi, Said Hamdioui
2022	J	`jnl`	Energy-efficient In-Memory Address Calculation. ACM Trans. Archit. Code Optim. Amirreza Yousefzadeh, Jan Stuijt, Martijn Hijdra, Hsiao-Hsuan Liu, Anteneh Gebregiorgis, Abhairaj Singh, Said Hamdioui, Francky Catthoor
2022	J	`jnl`	HERMES-Core - A 1.59-TOPS/mm IEEE J. Solid State Circuits Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Brändli, Feng Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou
2022	A	`conf`	KrakenOnMem: a memristor-augmented HW/SW framework for taxonomic profiling. ICS Taha Shahroodi, Mahdi Zahedi, Abhairaj Singh, Stephan Wong, Said Hamdioui
2022	A	`conf`	Referencing-in-Array Scheme for RRAM-based CIM Architecture. DATE Abhairaj Singh, Rajendra Bishnoi, Rajiv V. Joshi, Said Hamdioui
2022	J	`jnl`	Reliability aspects of binary vector-matrix-multiplications using ReRAM devices. Neuromorph. Comput. Eng. Christopher Bengel, Johannes Mohr, Stefan Wiefels, Abhairaj Singh, Anteneh Gebregiorgis, Rajendra Bishnoi, Said Hamdioui, Rainer Waser, Dirk J. Wouters, Stephan Menzel
2022	C	`conf`	System Design for Computation-in-Memory: From Primitive to Complex Functions. VLSI-SoC Mahdi Zahedi, Taha Shahroodi, Geert Custers, Abhairaj Singh, Stephan Wong, Said Hamdioui
2021	—	`conf`	HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing. VLSI Circuits Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Braendli, Femg Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou
2021	C	`conf`	Low-Power Memristor-Based Computing for Edge-AI Applications. ISCAS Abhairaj Singh, Sumit Diware, Anteneh Gebregiorgis, Rajendra Bishnoi, Francky Catthoor, Rajiv V. Joshi, Said Hamdioui
2021	J	`jnl`	SRIF: Scalable and Reliable Integrate and Fire Circuit ADC for Memristor-Based CIM Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. Abhairaj Singh, Muath Abu Lebdeh, Anteneh Gebregiorgis, Rajendra Bishnoi, Rajiv V. Joshi, Said Hamdioui
2020	J	`jnl`	In-Memory Database Query. Adv. Intell. Syst. Iason Giannopoulos, Abhairaj Singh, Manuel Le Gallo, Vara Prasad Jonnalagadda, Said Hamdioui, Abu Sebastian

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.