Yan Jia - RankMe

26 papers A 1B 1Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models. CoRR Yash Deo, Yan Jia, Toni Lassila, Victoria J. Hodge, Alejandro F. Frangi, Chenghao Qian, Siyuan Kang, Ibrahim Habli
2026	J	`jnl`	Design Principles for Human-Centred Explainable AI: A Scoping Review. ACM Trans. Interact. Intell. Syst. Nathan Gerard Jayy Hughes, Yan Jia, Mark Sujan, Tom Lawton, Ibrahim Habli, John A. McDermid
2025	J	`jnl`	A deployment safety case for AI-assisted prostate cancer diagnosis. Comput. Biol. Medicine Yan Jia, Clare Verrill, Kieron White, Monica Dolton, Margaret Horton, Mufaddal Jafferji, Ibrahim Habli
2025	J	`jnl`	MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation. CoRR Ernest Lim, Yajie Vera He, Jared Joselowitz, Kate Preston, Mohita Chowdhury, Louis Williams, Aisling Higham, Katrina Mason, Mariane Melo, Tom Lawton, Yan Jia, Ibrahim Habli
2025	J	`jnl`	Metrics that matter: Evaluating image quality metrics for medical image generation. CoRR Yash Deo, Yan Jia, Toni Lassila, William A. P. Smith, Tom Lawton, Siyuan Kang, Alejandro F. Frangi, Ibrahim Habli
2025	J	`jnl`	Safety assurance of Machine Learning for autonomous systems. Reliab. Eng. Syst. Saf. Colin Paterson, Richard Hawkins, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli
2025	J	`jnl`	The BIG Argument for AI Safety Cases. CoRR Ibrahim Habli, Richard Hawkins, Colin Paterson, Philippa Ryan, Yan Jia, Mark Sujan, John A. McDermid
2025	J	`jnl`	The case for delegated AI autonomy for Human AI teaming in healthcare. CoRR Yan Jia, Harriet Evans, Zoë Porter, Simon Graham, John A. McDermid, Tom Lawton, David R. J. Snead, Ibrahim Habli
2025	J	`jnl`	Upstream and Downstream AI Safety: Both on the Same River? CoRR John A. McDermid, Yan Jia, Ibrahim Habli
2025	J	`jnl`	WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue. CoRR Zachary Ellis, Jared Joselowitz, Yash Deo, Yajie He, Anna Kalygina, Aisling Higham, Mana Rahimzadeh, Yan Jia, Ibrahim Habli, Ernest Lim
2024	A	`conf`	Development and translation of human-AI interaction models into working prototypes for clinical decision-making. Conference on Designing Interactive Systems Muhammad Hussain, Ioanna Iacovides, Tom Lawton, Vishal Sharma, Zoë Porter, Alice Cunningham, Ibrahim Habli, Shireen Hickey, Yan Jia, Phillip Morgan, Nee Ling Wong
2024	J	`jnl`	The Safety of Autonomy: A Systematic Approach. Computer John A. McDermid, Radu Calinescu, Ibrahim Habli, Richard Hawkins, Yan Jia, John Molloy, Matt Osborne, Colin Paterson, Zoë Porter, Philippa Ryan Conmy
2023	—	`conf`	The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems. ICHI Yan Jia, John A. McDermid, Nathan Gerard Jayy Hughes, Mark Sujan, Tom Lawton, Ibrahim Habli
2022	J	`jnl`	The Role of Explainability in Assuring Safety of Machine Learning in Healthcare. IEEE Trans. Emerg. Top. Comput. Yan Jia, John A. McDermid, Tom Lawton, Ibrahim Habli
2021	J	`jnl`	A Framework for Assurance of Medication Safety using Machine Learning. CoRR Yan Jia, Tom Lawton, John A. McDermid, Eric Rojas, Ibrahim Habli
2021	B	`conf`	Enhancing the Value of Counterfactual Explanations for Deep Learning. AIME Yan Jia, John A. McDermid, Ibrahim Habli
2021	J	`jnl`	Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS). CoRR Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli
2021	—	`conf`	Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems. SAFECOMP Workshops Paul Festor, Ibrahim Habli, Yan Jia, Anthony C. Gordon, A. Aldo Faisal, Matthieu Komorowski
2021	J	`jnl`	Prediction of weaning from mechanical ventilation using Convolutional Neural Networks. Artif. Intell. Medicine Yan Jia, Chaitanya Kaul, Tom Lawton, Roderick Murray-Smith, Ibrahim Habli
2021	J	`jnl`	Safety-driven design of machine learning for sepsis treatment. J. Biomed. Informatics Yan Jia, Tom Lawton, John Burden, John A. McDermid, Ibrahim Habli
2021	J	`jnl`	The Role of Explainability in Assuring Safety of Machine Learning in Healthcare. CoRR Yan Jia, John A. McDermid, Tom Lawton, Ibrahim Habli
2020	J	`jnl`	Development and piloting of a software tool to facilitate proactive hazard and risk analysis of Health Information Technology. Health Informatics J. Ibrahim Habli, Yan Jia, Sean White, George Gabriel, Tom Lawton, Mark Sujan, Clive Tomsett
2020	—	`conf`	Safe Reinforcement Learning for Sepsis Treatment. ICHI Yan Jia, John Burden, Tom Lawton, Ibrahim Habli
2020	—	`conf`	Safety of Artificial Intelligence: A Collaborative Model. AISafety@IJCAI John A. McDermid, Yan Jia
2019	—	`conf`	Developing a Safety Case for Electronic Prescribing. MedInfo Yan Jia, Tom Lawton, Sean White, Ibrahim Habli
2019	—	`conf`	Towards a Framework for Safety Assurance of Autonomous Systems. AISafety@IJCAI John A. McDermid, Yan Jia, Ibrahim Habli

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.