Tanuja Chitnis

11 papers A* 1A 1B 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	From Structured EHR Data to Narratives: Large Language Models for Early Prediction of Multiple Sclerosis Relapse. ICDM (Workshops) Yijun Zhao, Evan Madill, Akayou A. Kitessa, Benjamin Castle, Aakruti R. Katre, Tanuja Chitnis
2022	B	`conf`	Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients. IJCNN Yijun Zhao, Tanuja Chitnis
2020	J	`jnl`	Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. npj Digit. Medicine Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis
2020	J	`jnl`	Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. npj Digit. Medicine Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis
2020	—	`conf`	GRU-DF: A Temporal Model with Dynamic Imputation for Missing Target Values in Longitudinal Patient Data. ICHI Yijun Zhao, Matias Berretta, Tong Wang, Tanuja Chitnis
2019	J	`jnl`	Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis. npj Digit. Medicine Tanuja Chitnis, Bonnie I. Glanz, Cindy Gonzalez, Brian C. Healy, Taylor J. Saraceno, Neda Sattarnezhad, Camilo Diaz-Cruz, Mariann Polgar-Turcsanyi, Subhash Tummala, Rohit Bakshi, Vikram Bajaj, David Ben Shimol, Nikhil Bikhchandani, Alexander W. Blocker, Joshua Burkart, Raphael Cendrillon, Michael P. Cusack, Emre Demiralp, Sarel Kobus Jooste, Alaa Kharbouch, Amy A. Lee, Joseph Lehar, Manway Liu, Swaminathan Mahadevan, Mark Murphy, Linda C. Norton, Tushar Anil Parlikar, Anupam Pathak, Ali Shoeb, Erin Soderberg, Philip Stephens, Aaron H. Stoertz, Florence Thng, Kashyap R. Tumkur, Hongsheng Wang, Jane Rhodes, Richard A. Rudick, Richard M. Ransohoff, Glenn A. Phillips, Effie Bruzik, William J. Marks, Howard L. Weiner, Thomas M. Snyder
2015	A*	`conf`	Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. ICDM Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley
2015	J	`jnl`	Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients. Artif. Intell. Medicine Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis
2015	J	`jnl`	Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis. NeuroImage Alicia S. Chua, Svetlana Egorova, Mark C. Anderson, Mariann Polgar-Turcsanyi, Tanuja Chitnis, Howard L. Weiner, Charles R. G. Guttmann, Rohit Bakshi, Brian C. Healy
2014	A	`conf`	Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients. SDM Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy
2013	—	`conf`	Removing Confounding Factors via Constraint Based Clustering: An Application to Finding Homogeneous Groups of Multiple Sclerosis Patients. ICHI Jingjing Liu, Carla E. Brodley, Brian C. Healy, Tanuja Chitnis

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.