Salman Seyedi

12 papers Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025.
CoRR
Matthew A. Reyna, Zuzana Koscova, Jan Pavlus, Soheil Saghafi, James Weigle, Andoni Elola, Salman Seyedi, Kiersten Campbell, Qiao Li, Ali Bahrami Rad, Antônio H. Ribeiro, Antonio Luiz P. Ribeiro, Reza Sameni, Gari D. Clifford
2025 J jnl
Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews.
ACM Trans. Manag. Inf. Syst.
Ruiyang Qin, Kai Yang, Ahmed Abbasi, David G. Dobolyi, Salman Seyedi, Emily Griner, HyeokHyen Kwon, Robert O. Cotes, Zifan Jiang, Gari D. Clifford, Ryan A. Cook
2024 J jnl
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations.
CoRR
Xiaofan Mu, Salman Seyedi, Iris Zheng, Zifan Jiang, Liu Chen, Bolaji Omofojoye, Rachel Hershenberg, Allan I. Levey, Gari D. Clifford, Hiroko H. Dodge, HyeokHyen Kwon
2024 J jnl
Disentangling Visual Exploration Differences in Cognitive Impairment.
IEEE Trans. Biomed. Eng.
Zifan Jiang, Salman Seyedi, Kayci L. Vickers, Cecelia M. Manzanares, James J. Lah, Allan I. Levey, Gari D. Clifford
2024 J jnl
ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis.
CoRR
Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Kshama Kodthalu Shivashankara, Soheil Saghafi, Sepideh Nikookar, Mohsen Motie Shirazi, Yashar Kiarashi, Salman Seyedi, Gari D. Clifford, Reza Sameni
2024 J jnl
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.
IEEE J. Biomed. Health Informatics
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, HyeokHyen Kwon, Robert O. Cotes, Gari D. Clifford
2023 — conf
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
CinC
Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, HyeokHyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford
2021 J jnl
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms.
CoRR
Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
2021 J jnl
Privacy-Preserving Eye-tracking Using Deep Learning.
CoRR
Salman Seyedi, Zifan Jiang, Allan I. Levey, Gari D. Clifford
2021 — conf
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
CinC
Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford
2020 — conf
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
CinC
Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford
2019 — conf
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.
CinC
Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.