Qaiser Chaudry

14 papers C 3Misc 1Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A Systematic Review of Online Exams Solutions in E-Learning: Techniques, Tools, and Global Adoption. IEEE Access Abdul Wahab Muzaffar, Muhammad Tahir, Muhammad Waseem Anwar, Qaiser Chaudry, Shamaila Rasheed Mir, Yawar Rasheed
2020	J	`jnl`	A Systematic Review on Online Exams Solutions in E-learning: Techniques, Tools, and Global Adoption. CoRR Abdul Wahab Muzaffar, Muhammad Tahir, Muhammad Waseem Anwar, Qaiser Chaudry, Shamaila Rasheed Mir
2017	Misc	`conf`	Clinical decision support system for Parkinson's disease and related movement disorders. ICASSP Muhammad Asad Raza, Qaiser Chaudry, Syed Muhammad Tahir Zaidi, Muhammad Babar Khan
2016	J	`jnl`	Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training. IEEE Access Sheikh Waqas Akhtar, Saad Rehman, Mahmood Akhtar, Muazzam Ali Khan, Farhan Riaz, Qaiser Chaudry, Rupert C. D. Young
2014	—	`conf`	A comparative analysis on pixel-based blind cloning techniques. ICCSCE Mariam Saleem, M. Qasim Altaf, Qaiser Chaudry
2012	—	`conf`	Development of a novel 2D color map for interactive segmentation of histological images. ISBI Qaiser Chaudry, Yachna Sharma, Syed Hussain Raza, May D. Wang
2011	—	`conf`	Automatic batch-invariant color segmentation of histological cancer images. ISBI Sonal Kothari, John H. Phan, Richard A. Moffitt, Todd H. Stokes, Shelby E. Hassberger, Qaiser Chaudry, Andrew N. Young, May D. Wang
2009	—	`conf`	Automated Cell Counting and Cluster Segmentation Using Concavity Detection and Ellipse Fitting Techniques. ISBI Sonal Kothari, Qaiser Chaudry, May D. Wang
2009	J	`jnl`	Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features. J. Signal Process. Syst. Qaiser Chaudry, Syed Hussain Raza, Andrew N. Young, May D. Wang
2009	C	`conf`	Development of a High Resolution 3D Infant Stomach Model for Surgical Planning. CAIP Qaiser Chaudry, S. Hussain Raza, Jeonggyu Lee, Yan Xu, Mark Wulkan, May D. Wang
2008	C	`conf`	Improving renal cell carcinoma classification by automatic region of interest selection. BIBE Qaiser Chaudry, S. Hussain Raza, Yachna Sharma, Andrew N. Young, May D. Wang
2007	—	`conf`	An Integrated Image Quantification System for Colorectal Cancer Risk Assessment Using Quantum Dots and Molecular Profiling. ISBI Qaiser Chaudry, Koon Yin Kong, Thomas U. Ahearn, Vaunita Cohen, Roberd M. Bostick, May D. Wang
2007	C	`conf`	Computer Aided Histopathological Classification of Cancer Subtypes. BIBE Sohaib Waheed, Richard A. Moffitt, Qaiser Chaudry, Andrew N. Young, May D. Wang
2006	—	`conf`	Detecting and Quantifying Biomarkers of Risk for Colorectal Cancer Using Quantum Dots and Novel Image Analysis Algorithms. EMBC Roberd M. Bostick, Koon Yin Kong, Thomas U. Ahearn, Qaiser Chaudry, Vaunita Cohen, May D. Wang

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.