A. Arockia Bazil Raj

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Mode-Switchable Photonic Radar System for Aerial LSS Targets Detection and Classification. IEEE Trans. Aerosp. Electron. Syst. Amalorpava Selvi, S. P. K. Babu, A. Arockia Bazil Raj
2025	J	`jnl`	An X-Band Photonics Radar-Based Autonomous Technique for Parameter Measurement of sUAV Targets Using Micro-Doppler TF Images. IEEE Trans. Aerosp. Electron. Syst. Sampurna De, A. Arockia Bazil Raj
2024	J	`jnl`	A VMD-Assisted Spectral Segmentation Technique for LSS Targets' Accurate r-D/m-D Imaging Photonic Radar System. IEEE Trans. Instrum. Meas. Nargis Akhter, A. Arockia Bazil Raj
2024	J	`jnl`	Waveform and Receiver Design for OTFS-Based SAR Under Interference and Low SNR Conditions. IEEE Geosci. Remote. Sens. Lett. Gaurav Sharma, A. Arockia Bazil Raj
2023	J	`jnl`	Development of RF-Photonic System for Automatic Targets' Nonlinear Rotational/Flapping/Gliding Signatures Imaging Applications. J. Circuits Syst. Comput. Nargis Akhter, Harish C. Kumawat, A. Arockia Bazil Raj
2023	J	`jnl`	Editorial - Special Issue on "Optical and RF Atmospheric Propagation". Sensors Natan S. Kopeika, A. Arockia Bazil Raj
2023	J	`jnl`	OTFS Based SAR With Low Complexity Receiver. IEEE Access Gaurav Sharma, A. Arockia Bazil Raj
2022	J	`jnl`	Application of DNN for radar micro-doppler signature-based human suspicious activity recognition. Pattern Recognit. Lett. Mainak Chakraborty, Harish C. Kumawat, Sunita Vikrant Dhavale, A. Arockia Bazil Raj
2022	J	`jnl`	DIAT-RadHARNet: A Lightweight DCNN for Radar Based Classification of Human Suspicious Activities. IEEE Trans. Instrum. Meas. Mainak Chakraborty, Harish C. Kumawat, Sunita Vikrant Dhavale, A. Arockia Bazil Raj
2022	J	`jnl`	DIAT-RadSATNet - A Novel Lightweight DCNN Architecture for Micro-Doppler-Based Small Unmanned Aerial Vehicle (SUAV) Targets' Detection and Classification. IEEE Trans. Instrum. Meas. Harish C. Kumawat, Mainak Chakraborty, A. Arockia Bazil Raj
2022	J	`jnl`	DIAT-μSAT: Small Aerial Targets' Micro-Doppler Signatures and Their Classification Using CNN. IEEE Geosci. Remote. Sens. Lett. Harish C. Kumawat, Mainak Chakraborty, A. Arockia Bazil Raj, Sunita Vikrant Dhavale
2022	J	`jnl`	Low Complexity Interference Mitigation Technique in IRCI-Free SAR Imaging Algorithms. IEEE Geosci. Remote. Sens. Lett. Gaurav Sharma, A. Arockia Bazil Raj
2022	J	`jnl`	RIS Assisted Triple-Hop RF-FSO Convergent With UWOC System. IEEE Access L. Bhargava Kumar, Ramavath Prasad Naik, Prabu Krishnan, A. Arockia Bazil Raj, Arun K. Majumdar, Wan-Young Chung
2022	J	`jnl`	SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets' Nonlinear Micro-Doppler Signature/Pattern Imaging System. Sensors Harish C. Kumawat, A. Arockia Bazil Raj
2022	J	`jnl`	Spectrum Localization and Hough Transform-Based β Tuning for LSS Targets' Accurate Micro-Doppler Imaging System. IEEE Trans. Instrum. Meas. Harish C. Kumawat, A. Arockia Bazil Raj, Piotr Samczynski
2015	J	`jnl`	Design of Cognitive Decision Making Controller for Autonomous Online Adaptive Beam Steering in Free Space Optical Communication System. Wirel. Pers. Commun. A. Arockia Bazil Raj, Arputha J. Vijaya Selvi, D. Kumar, S. Raghavan
2014	J	`jnl`	Intensity feedback-based beam wandering mitigation in free-space optical communication using neural control technique. EURASIP J. Wirel. Commun. Netw. A. Arockia Bazil Raj, Arputha J. Vijaya Selvi, Kumar D. Durai, Raghavan S. Singaravelu

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.