Barathi Subramanian

13 papers Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT images. Comput. Medical Imaging Graph. Chenhui Qiu, Sarah Miller, Barathi Subramanian, Angela Ryu, Haiyu Zhang, George A. Fisher, Nigam H. Shah, John Mongan, Curtis Langlotz, Peter Poullos, Jeanne Shen
2025	J	`jnl`	From Data to Decisions: The Power of Machine Learning in Business Recommendations. IEEE Access Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung
2025	J	`jnl`	Rhythm in the Air: Vision-based Real-Time Music Generation through Gestures. CoRR Barathi Subramanian, Rathinaraja Jeyaraj, Anand Paul, Kapilya Gangadharan
2025	J	`jnl`	STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology. CoRR Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, Curtis P. Langlotz, Andrew Y. Ng, Jeanne Shen
2024	J	`jnl`	APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. CoRR Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim
2024	J	`jnl`	Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints. CoRR Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim
2024	J	`jnl`	From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations. CoRR Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramanian, Rathinaraja Jeyaraj
2024	—	`conf`	YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks. ICAIC Rathinaraja Jeyaraj, Barathi Subramanian, Karnam Yogesh, Aobo Jin, Hardik A. Gohel
2023	—	`conf`	Airy YOLOv5 for Disabled Sign Detection. ICUFN Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Taehun Kim, Jeonghong Kim
2023	J	`jnl`	Extensive Knowledge Distillation Model: An End-to-End Effective Anomaly Detection Model for Real-Time Industrial Applications. IEEE Access Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bekhzod Olimov, Jeonghong Kim
2022	J	`jnl`	Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare. IEEE Access Barathi Subramanian, Jeonghong Kim, Mohammed Maray, Anand Paul
2022	—	`conf`	Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization. ICUFN Bekhzod Olimov, Barathi Subramanian, Jeonghong Kim
2021	J	`jnl`	Blockchain for public health care in smart society. Microprocess. Microsystems M. Junaid Gul, Barathi Subramanian, Anand Paul, Jeonghong Kim

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.