Sandeep Chandran

17 papers A* 1A 1B 2C 1Misc 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Attention-Enhanced CNN-BiLSTM Model for Speech Assessment of Hard-of-Hearing Speakers. IEEE Access Sandeep Chandran, Jesna Mohan, S. Sreejith, N. R. Raji, A. V. Anjana
2026	J	`jnl`	Dynamically Reprogrammable Runtime Monitors for Bounded-time MTL. CoRR Chirantan Hebballi, Akash Poptani, Amrutha Benny, Rajshekar Kalayappan, Sandeep Chandran, Ramchandra Phawade
2025	J	`jnl`	Consequence-based Clustered Architecture. ACM Trans. Archit. Code Optim. Shruthi Karunakar, Rajshekar Kalayappan, Sandeep Chandran
2024	—	`conf`	CASH: Criticality-Aware Split Hybrid L1 Data Cache. ACM Great Lakes Symposium on VLSI Shruthi Karunakar, Meenakshi Atkade, Akash Poptani, Rajshekar Kalayappan, Sandeep Chandran
2024	B	`conf`	On Decomposing Complex Test Cases for Efficient Post-silicon Validation. ASPDAC C. Harshitha, Sundarapalli Harikrishna, Peddakotla Rohith, Sandeep Chandran, Rajshekar Kalayappan
2024	B	`conf`	faRM-LTL: A Domain-Specific Architecture for Flexible and Accelerated Runtime Monitoring of LTL Properties. RV Amrutha Benny, Sandeep Chandran, Rajshekar Kalayappan, Ramchandra Phawade, Piyush P. Kurur
2023	J	`jnl`	Dynamic Ineffectuality-based Clustered Architectures. CoRR Rajshekar Kalayappan, Sandeep Chandran
2023	Misc	`conf`	SANNA: Secure Acceleration of Neural Network Applications. VLSID Akash Poptani, Abhishek Mittal, Rishit Saiya, Rajshekar Kalayappan, Sandeep Chandran
2019	A*	`conf`	DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring. DAC Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli
2017	J	`jnl`	Managing Trace Summaries to Minimize Stalls During Postsilicon Validation. IEEE Trans. Very Large Scale Integr. Syst. Sandeep Chandran, Preeti Ranjan Panda, Smruti R. Sarangi, Ayan Bhattacharyya, Deepak Chauhan, Sharad Kumar
2016	Misc	`conf`	A Generic Implementation of Barriers Using Optical Interconnects. VLSID Sandeep Chandran, Eldhose Peter, Preeti Ranjan Panda, Smruti R. Sarangi
2016	J	`jnl`	Area-Aware Cache Update Trackers for Postsilicon Validation. IEEE Trans. Very Large Scale Integr. Syst. Sandeep Chandran, Smruti R. Sarangi, Preeti Ranjan Panda
2016	—	`conf`	Extending trace history through tapered summaries in post-silicon validation. ASP-DAC Sandeep Chandran, Preeti Ranjan Panda, Deepak Chauhan, Sharad Kumar, Smruti R. Sarangi
2015	J	`jnl`	Fundamental Results for a Generic Implementation of Barriers using Optical Interconnects. CoRR Sandeep Chandran, Eldhose Peter, Preeti Ranjan Panda, Smruti R. Sarangi
2014	J	`jnl`	Architectural Support for Handling Jitterin Shared Memory Based Parallel Applications. IEEE Trans. Parallel Distributed Syst. Sandeep Chandran, Prathmesh Kallurkar, Parul Gupta, Smruti R. Sarangi
2013	A	`conf`	Space sensitive cache dumping for post-silicon validation. DATE Sandeep Chandran, Smruti R. Sarangi, Preeti Ranjan Panda
2002	C	`conf`	Heuristic random optimizer-version II. ACC Sandeep Chandran, R. Russell Rhinehart

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.