Aashaka Desai - RankMe

15 papers A* 4A 5Journal 4Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Race, Disability, and Technology: A Call to Action for Accessibility Researchers. ACM Trans. Access. Comput. Aashaka Desai, Aaleyah Lewis, Sanika Moharana, Anne Spencer Ross, Jennifer Mankoff, Christina N. Harrington
2025	A	`conf`	Beyond Beautiful: Embroidering Legible and Expressive Tactile Graphics. ASSETS Margaret Ellen Seehorn, Claris Winston, Bo Liu, Gene S.-H. Kim, Emily White, Nupur Gorkar, Kate S. Glazko, Aashaka Desai, Jerry Cao, Megan Hofmann, Jennifer Mankoff
2025	A	`conf`	Exploring Disability Culture Through Accounts of Disabled Innovators of Accessibility Technology. ASSETS Aashaka Desai, Jennifer Mankoff, Richard E. Ladner
2025	A*	`conf`	Exploring Reduced Feature Sets for American Sign Language Dictionaries. CHI Ben Kosa, Aashaka Desai, Alex X. Lu, Richard E. Ladner, Danielle Bragg
2025	—	`conf`	Investigating Dictionary Expansion for Video-based Sign Language Dictionaries. EMNLP (Findings) Aashaka Desai, Daniela Massiceti, Richard E. Ladner, Hal Daumé III, Danielle Bragg, Alex Xijie Lu
2025	A*	`conf`	Toward Language Justice: Exploring Multilingual Captioning for Accessibility. CHI Aashaka Desai, Rahaf Alharbi, Stacy Hsueh, Richard E. Ladner, Jennifer Mankoff
2024	J	`jnl`	Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas. CoRR Aashaka Desai, Maartje de Meulder, Julie A. Hochgesang, Annemarie Kocab, Alex X. Lu
2023	A*	`conf`	ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. NeurIPS Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg
2023	J	`jnl`	ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. CoRR Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg
2023	A	`conf`	An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility. ASSETS Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, Jennifer Mankoff
2023	J	`jnl`	An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility. CoRR Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, Jennifer Mankoff
2023	A	`conf`	Maintaining the Accessibility Ecosystem: a Multi-Stakeholder Analysis of Accessibility in Higher Education. ASSETS Kelly Avery Mack, Natasha A Sidik, Aashaka Desai, Emma J. McDonnell, Kunal Mehta, Christina Zhang, Jennifer Mankoff
2023	A*	`conf`	Understanding and Enhancing The Role of Speechreading in Online d/DHH Communication Accessibility. CHI Aashaka Desai, Jennifer Mankoff, Richard E. Ladner
2023	A	`conf`	Working at the Intersection of Race, Disability and Accessibility. ASSETS Christina N. Harrington, Aashaka Desai, Aaleyah Lewis, Sanika Moharana, Anne Spencer Ross, Jennifer Mankoff
2022	—	`conf`	Enhancing access to high quality tangible information through machine embroidered tactile graphics. SCF Margaret Ellen Seehorn, Gene S.-H. Kim, Aashaka Desai, Megan Hofmann, Jennifer Mankoff

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.