Rajalakshmi Pachamuthu

14 papers B 1C 1Misc 2Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Aligning LiDAR to Vision Language Space: A Fusion Approach for Steering Angle Regression of a Vehicle. IJCNN Parvez Alam, Shri Vishnu Sathvik, Rajalakshmi Pachamuthu
2025	J	`jnl`	Real-Time LPV-Based Non-Linear Model Predictive Control for Robust Trajectory Tracking in Autonomous Vehicles. CoRR Nitish Kumar, Rajalakshmi Pachamuthu
2025	J	`jnl`	TDMBPLD: A Dataset Focusing on Marker Scene for UAV Landing. IEEE Geosci. Remote. Sens. Lett. Sanjukumar NT, A. V. V. Meghashyam, Bhuvanesh, Rajalakshmi Pachamuthu
2025	—	`conf`	TiHAN-V2X: A Comprehensive Dataset for Dynamic C-V2X Communication in Indian Context. VTC2025-Spring Annu, V. S. S. Phaneendra, Rajalakshmi Pachamuthu, Sunnam Venkata Srikanth, Munjagala Prasad
2024	J	`jnl`	Evaluating Federated Learning-Based Intrusion Detection Scheme for Next Generation Networks. IEEE Trans. Netw. Serv. Manag. Gurpreet Singh, Keshav Sood, Rajalakshmi Pachamuthu, Dinh Duc Nha Nguyen, Yong Xiang
2024	—	`conf`	LiDAR-OdomNet: LiDAR Odometry Network Using Feature Fusion Based on Attention. VTC Fall Parvez Alam, Rajalakshmi Pachamuthu
2024	—	`conf`	Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition. ICVGIP Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri, Rajalakshmi Pachamuthu
2024	J	`jnl`	Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition. CoRR Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri, Rajalakshmi Pachamuthu
2024	Misc	`conf`	Real-Time Object Detection as a Service for UGVs Using Edge Cloud. COMSNETS Yuvraj Chowdary Makkena, Prashanth P. S, Praveen Tammana, Praveen Chandrahas, Rajalakshmi Pachamuthu
2024	C	`conf`	TIAND: A Multimodal Dataset for Autonomy on Indian Roads. IV Nitish Kumar, Abhilash S, Abhishek Thakur, Omkarthikeya Gopi, Ayush Dasgupta, Arpitha Algole, Bhaskar Anand, Venkata Satyanand Mutnuri, D. Santhosh Reddy, Naga Praveen Babu Mannam, Srikanth Saripalli, Rajalakshmi Pachamuthu
2024	—	`conf`	YoloV8 Based Novel Approach for Object Detection on LiDAR Point Cloud. VTC Spring Sriya Behera, Bhaskar Anand, Rajalakshmi Pachamuthu
2023	—	`conf`	Enhancing Sidelink 5G V2V Communication: A Distributed Probabilistic Congestion Control for Dynamic Resource Allocation. ANTS Annu, Rajalakshmi Pachamuthu
2023	Misc	`conf`	Experience: Implementation of Edge-Cloud for Autonomous Navigation Applications. COMSNETS Yuvraj Chowdary Makkena, Rajashekhar Reddy Tella, Nisarg Parekh, Prem Kumar Saraf, Annu, Hershita Shukla, Akhila Matathammal, Sarat Chandra Sai Danda, Praveen Chandrahas, Akshay Ramesh Jadhav, Praveen Tammana, Koteswararao Kondepu, Rajalakshmi Pachamuthu
2023	—	`conf`	Optimizing Latency for Real-time Traffic and Road Safety Applications through MEC-based V2X System. SmartNets Annu, Rajalakshmi Pachamuthu, Praveen Tammana

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.