Aaryan Gupta - RankMe

20 papers A* 4A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DEXNet: An Ensemble Model Integrating DenseNet, EfficientNetB3, and XGBoost for Histopathological Lung and Colon Cancer Classification. SN Comput. Sci. Aaryan Gupta, Varun Tiwari, Divyansh Pandey, Jaydeep Kishore
2025	J	`jnl`	Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets. CoRR Aaryan Gupta, Rishi Saket, Aravindan Raghuveer
2025	A	`conf`	Learning Algorithms for Multiple Instance Regression. UAI Aaryan Gupta, Rishi Saket
2024	A*	`conf`	Approximation Schemes for Geometric Knapsack for Packing Spheres and Fat Objects. ICALP Pritam Acharya, Sujoy Bhore, Aaryan Gupta, Arindam Khan, Bratin Mondal, Andreas Wiese
2024	J	`jnl`	Approximation Schemes for Geometric Knapsack for Packing Spheres and Fat Objects. CoRR Pritam Acharya, Sujoy Bhore, Aaryan Gupta, Arindam Khan, Bratin Mondal, Andreas Wiese
2024	A*	`conf`	Identification for Tree-Shaped Structural Causal Models in Polynomial Time. AAAI Aaryan Gupta, Markus Bläser
2023	J	`jnl`	A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation. Appl. Intell. Inder Khatri, Dhirendra Kumar, Aaryan Gupta
2023	—	`conf`	Adversarial Adaptation for French Named Entity Recognition. ECIR (2) Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
2023	J	`jnl`	Adversarial Adaptation for French Named Entity Recognition. CoRR Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
2023	A*	`conf`	CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). AAAI Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
2023	J	`jnl`	Identification for Tree-shaped Structural Causal Models in Polynomial Time. CoRR Aaryan Gupta, Markus Bläser
2023	J	`jnl`	MCD: A modified community diversity approach for detecting influential nodes in social networks. J. Intell. Inf. Syst. Aaryan Gupta, Inder Khatri, Arjun Choudhry, Sanjay Kumar
2023	A*	`conf`	Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). AAAI Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
2022	J	`jnl`	A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. CoRR Aaryan Gupta, Inder Khatri, Arjun Choudhry, Pranav Chandhok, Dinesh Kumar Vishwakarma, Mukesh Prasad
2022	J	`jnl`	CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. CoRR Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
2022	J	`jnl`	CSR: A community based spreaders ranking algorithm for influence maximization in social networks. World Wide Web Sanjay Kumar, Aaryan Gupta, Inder Khatri
2022	J	`jnl`	Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation. Soft Comput. Dhirendra Kumar, Inder Khatri, Aaryan Gupta, Rachana Gusain
2022	J	`jnl`	MCD: A Modified Community Diversity Approach for Detecting Influential Nodes in Social Networks. CoRR Aaryan Gupta, Inder Khatri, Arjun Choudhry, Sanjay Kumar
2022	J	`jnl`	Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. CoRR Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
2020	—	`conf`	Interplay of Machine Learning and Software Engineering for Quality Estimations. CCCI Hamza Abubakar Kheruwala, Mohammad S. Obaidat, Aaryan Gupta, Pronaya Bhattacharya, Sudeep Tanwar

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.