Dana Rezazadegan

16 papers B 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. PAKDD (1) Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy
2024	J	`jnl`	Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. CoRR Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy
2024	—	`conf`	Real-Time Lightweight 3D Hand-Object Pose Estimation Using Temporal Graph Convolution Networks. AI (2) Yue Yin, Chris McCarthy, Dana Rezazadegan
2023	J	`jnl`	Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review. Int. J. Medical Informatics David Fraile Navarro, Kiran Ijaz, Dana Rezazadegan, Hania Rahimi-Ardabili, Mark Dras, Enrico W. Coiera, Shlomo Berkovsky
2022	J	`jnl`	Symbolic and Statistical Learning Approaches to Speech Summarization: A Scoping Review. Comput. Speech Lang. Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera
2021	J	`jnl`	A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021	J	`jnl`	Empirical analysis of Zipf's law, power law, and lognormal distributions in medical discharge reports. Int. J. Medical Informatics Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera
2021	B	`conf`	Real-Time 3D Hand-Object Pose Estimation for Mobile Devices. ICIP Yue Yin, Chris McCarthy, Dana Rezazadegan
2021	J	`jnl`	Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT. Inf. You-Zhen Feng, Sidong Liu, Zhong-Yuan Cheng, Juan C. Quiroz, Dana Rezazadegan, Ping-Kang Chen, Qi-Ting Lin, Long Qian, Xiao-Fang Liu, Shlomo Berkovsky, Enrico W. Coiera, Lei Song, Xiao-Ming Qiu, Xiang-Ran Cai
2020	J	`jnl`	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2020	J	`jnl`	Automatic Speech Summarisation: A Scoping Review. CoRR Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, Ahmet Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico W. Coiera
2020	—	`conf`	Conversational Agents for Health and Wellbeing. CHI Extended Abstracts Ahmet Baki Kocaballi, Juan C. Quiroz, Liliana Laranjo, Dana Rezazadegan, Rafal Kocielnik, Leigh Clark, Q. Vera Liao, Sun Young Park, Robert J. Moore, Adam S. Miner
2020	J	`jnl`	Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports. CoRR Juan C. Quiroz, Liliana Laranjo, Catalin Tufanaru, Ahmet Baki Kocaballi, Dana Rezazadegan, Shlomo Berkovsky, Enrico W. Coiera
2020	J	`jnl`	Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners. J. Am. Medical Informatics Assoc. Ahmet Baki Kocaballi, Kiran Ijaz, Liliana Laranjo, Juan C. Quiroz, Dana Rezazadegan, Huong Ly Tong, Simon Willcock, Shlomo Berkovsky, Enrico W. Coiera
2020	J	`jnl`	Identifying relevant information in medical conversations to summarize a clinician-patient encounter. Health Informatics J. Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Agustina Briatore, Shlomo Berkovsky, Dana Rezazadegan, Enrico W. Coiera
2019	J	`jnl`	Challenges of developing a digital scribe to reduce clinical documentation burden. npj Digit. Medicine Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi, Shlomo Berkovsky, Dana Rezazadegan, Enrico W. Coiera

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.