Tarun Varma

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Application of Gaussian Distribution Crayfish Optimization in Adaptive FIR Filter Bank: Four-Channel Uniform and Nonuniform Designs. IEEE Trans. Artif. Intell. Himani Daulat, Krishna Chauhan, Tarun Varma
2025	J	`jnl`	Design and Optimization of a Symmetrical Phase-Frequency Detector (SPFD) Through Statistical Techniques. Circuits Syst. Signal Process. Jyoti Sharma, Archana Singhal, Tarun Varma, Dharmendar Boolchandani
2025	J	`jnl`	QMF banks: A survey of high-fidelity reconstruction strategies. Multim. Tools Appl. Himani Daulat, Tarun Varma
2024	J	`jnl`	Design and optimization of phase frequency detector through Taguchi and ANOVA statistical techniques for fast settling low power frequency synthesizer. Integr. Jyoti Sharma, Riyaz Ahmad, Ashutosh Yadav, Tarun Varma, Dharmendar Boolchandani
2024	J	`jnl`	Discrete combined fractional Fourier transform and its application to image enhancement. Multim. Tools Appl. Shobha Sharma, Tarun Varma
2023	J	`jnl`	A method for simplifying the spoken emotion recognition system using a shallow neural network and temporal feature stacking & pooling (TFSP). Multim. Tools Appl. Krishna Chauhan, Kamalesh Kumar Sharma, Tarun Varma
2023	J	`jnl`	Generalised homomorphic and root filtering in 2D-nonseparable discrete linear canonical transform domains in the image enhancement applications. Int. J. Comput. Vis. Robotics Shobha Sharma, Tarun Varma
2023	J	`jnl`	Improved Speech Emotion Recognition Using Channel-wise Global Head Pooling (CwGHP). Circuits Syst. Signal Process. Krishna Chauhan, Kamalesh Kumar Sharma, Tarun Varma
2023	J	`jnl`	Novel Programmable Readout Amplifier and Potentiostat for Glucose Sensing Applications. SN Comput. Sci. Riyaz Ahmad, Amit M. Joshi, Dharmendar Boolchandani, Tarun Varma
2023	J	`jnl`	Optimization of Performance Parameters of Phase Frequency Detector Using Taguchi DoE and Pareto ANOVA Techniques. J. Circuits Syst. Comput. Jyoti Sharma, Gaurav Kumar Sharma, Tarun Varma, Dharmendar Boolchandani
2022	J	`jnl`	A High Speed Phase Detection Circuit with No Dead Zone Suitable for Minimal Jitter and Low Power Applications. J. Circuits Syst. Comput. Jyoti Sharma, Gaurav Kumar Sharma, Tarun Varma, Dharmendar Boolchandani
2021	—	`conf`	A brief review of the various phase-frequency detector architectures. iSES Jyoti Sharma, Tarun Varma, Dharmendar Boolchandani
2021	—	`conf`	Design of potentiostat and current mode read-out amplifier for glucose sensing. iSES Riyaz Ahmad, Amit M. Joshi, Dharmendar Boolchandani, Tarun Varma

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.