Saisubramaniam Gopalakrishnan

21 papers A* 1A 4B 4Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget. CoRR Saisubramaniam Gopalakrishnan, Harikrishnan P. M., Dagnachew Birru
2026	J	`jnl`	Surrogate-Guided Quantum Discovery in Black-Box Landscapes with Latent-Quadratic Interaction Embedding Transformers. CoRR Saisubramaniam Gopalakrishnan, Dagnachew Birru
2025	A*	`conf`	IDPFlow: A No-Code Agentic Framework for Multimodal Intelligent Document Processing. ACM Multimedia Goutham Vignesh, Harikrishnan P. M., Siddartha Reddy, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2025	J	`jnl`	Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration. CoRR Himabindu Thogaru, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar
2025	J	`jnl`	Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance. CoRR Rishi Yash Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar
2025	J	`jnl`	Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data. CoRR Zishan Ahmad, Saisubramaniam Gopalakrishnan
2024	A	`conf`	Accelerating Pharmacovigilance using Large Language Models. WSDM Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina
2024	A	`conf`	Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks. WSDM Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024	B	`conf`	Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CEC Siddartha Reddy, Sai Prakash MV, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024	J	`jnl`	Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CoRR Siddartha Reddy, Sai Prakash MV, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2024	A	`conf`	Mitigating Factual Inconsistency and Hallucination in Large Language Models. WSDM Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2023	J	`jnl`	Minimizing Factual Inconsistency and Hallucination in Large Language Models. CoRR Muneeswaran I, Shreya Saxena, Siva Prasad, Mukkamala Venkata Sai Prakash, Advaith Shankar, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2023	—	`conf`	Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. BCB Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2023	J	`jnl`	Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. CoRR Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2022	J	`jnl`	Classify and generate: Using classification latent space representations for image generations. Neurocomputing Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2022	A	`conf`	Knowledge Capture and Replay for Continual Learning. WACV Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2021	B	`conf`	Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
2020	J	`jnl`	Classification Representations Can be Reused for Downstream Generations. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2020	B	`conf`	Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Ivan Ho Mien, Arulmurugan Ambikapathi
2020	B	`conf`	Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. ICIP Tin Lay Nwe, Oo Zaw Min, Saisubramaniam Gopalakrishnan, Dongyun Lin, Shitala Prasad, Sheng Dong, Yiqun Li, Ramanpreet Singh Pahwa
2020	J	`jnl`	Knowledge Capture and Replay for Continual Learning. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi

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.