Tahir Qasim Syed

15 papers B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations. CoRR Hiba Azeem, Behraj Khan, Tahir Qasim Syed
2026	J	`jnl`	Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images. CoRR Annayah Usman, Behraj Khan, Tahir Qasim Syed
2026	J	`jnl`	Rethinking Test-Time Training: Tilting The Latent Distribution For Few-Shot Source-Free Adaptation. CoRR Tahir Qasim Syed, Behraj Khan
2025	J	`jnl`	Adapting to Fragmented and Evolving Data: A Fisher Information Perspective. CoRR Behraj Khan, Tahir Qasim Syed, Muhammad Nouman Durrani
2025	B	`conf`	An Agentic System with Reinforcement-Learned Subsystem Improvements for Parsing Form-Like Documents. EMAS Ayesha Amjad, Saurav Sthapit, Tahir Qasim Syed
2025	J	`jnl`	An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents. CoRR Ayesha Amjad, Saurav Sthapit, Tahir Qasim Syed
2025	J	`jnl`	Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift. CoRR Behraj Khan, Tahir Qasim Syed, Nouman M. Durrani, Bilal Naseem, Shabir Ahmad, Rizwan Qureshi
2025	J	`jnl`	Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift. CoRR Behraj Khan, Tahir Qasim Syed
2025	—	`conf`	Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models. CVPR Workshops Behraj Khan, Rizwan Qureshi, Nouman M. Durrani, Tahir Qasim Syed
2025	—	`conf`	Human-in-the-Loop Active Learning for Real-Time Endoscopic Diagnostics on Edge Devices. EMA4MICCAI Shabir Ahmad, Sheeraz Ahmad, Sujeong Kim, Behraj Khan, Tahir Qasim Syed, Junwon Chung
2025	J	`jnl`	Mitigating covariate shift in non-colocated data with learned parameter priors. Neurocomputing Behraj Khan, Tahir Qasim Syed, Behroz Mirza, Muhammad Nouman Durrani
2025	J	`jnl`	Technical note on Fisher Information for Robust Federated Cross-Validation. CoRR Behraj Khan, Tahir Qasim Syed
2025	J	`jnl`	Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting. CoRR Behraj Khan, Tahir Qasim Syed
2016	J	`jnl`	Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns. J. Electronic Imaging Sadaf Iqbal Behlim, Tahir Qasim Syed, Muhammad Yameen Malik, Vincent Vigneron
2011	—	`—`	Analyse du potentiel migratoire de cellules cancéreuses par prétraitement, segmentation et classification d'images. (Analysis of the migratory potential of cancerous cells by image preprocessing, segmentation and classification). Tahir Qasim Syed

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.