Fateme Rajabiyazdi

32 papers A* 2B 6Misc 2Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Metacognitive Demands and Strategies While Using Off-The-Shelf AI Conversational Agents for Health Information Seeking. CHI Shri Harini Ramesh, Foroozan Daneshzand, Babak Rashidi, Shriti Raj, Hariharan Subramonyam, Fateme Rajabiyazdi
2026	J	`jnl`	Metacognitive Demands and Strategies While Using Off-The-Shelf AI Conversational Agents for Health Information. CoRR Shri Harini Ramesh, Foroozan Daneshzand, Babak Rashidi, Shriti Raj, Hariharan Subramonyam, Fateme Rajabiyazdi
2026	J	`jnl`	Pulli Kolam: A Traditional South Indian Craft Practice for Representing Data. CoRR Shri Harini Ramesh, Fateme Rajabiyazdi
2025	A*	`conf`	AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking. CHI Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal, Saiyyam Kochar, Kara M. Smith, Fateme Rajabiyazdi, Vidya Setlur, Narges Mahyar, Ali Sarvghad
2025	J	`jnl`	AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking. CoRR Mashrur Rashik, Shilpa Sweth, Nishtha Agrawal, Saiyyam Kochar, Kara M. Smith, Fateme Rajabiyazdi, Vidya Setlur, Narges Mahyar, Ali Sarvghad
2025	—	`conf`	Enhancing Clinician-Patient Communication: The Use of Large Interactive Displays in Clinical Consultations. HCI (9) Mariana Perez Rodriguez, Juan Jimenez Garcia, Babak Rashidi, Fateme Rajabiyazdi
2024	B	`conf`	A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation. Graphics Interface Shri Harini Ramesh, Alicia Ouskine, Elahe Khorasani, Mona Ebrahimipour, Hillel Finestone, Adrian D. C. Chan, Fateme Rajabiyazdi
2024	J	`jnl`	Challenges and Opportunities in Data Visualization Education: A Call to Action. IEEE Trans. Vis. Comput. Graph. Benjamin Bach, Mandy Keck, Fateme Rajabiyazdi, Tatiana Losev, Isabel Meirelles, Jason Dykes, Robert S. Laramee, Mashael AlKadi, Christina Stoiber, Samuel Huron, Charles Perin, Luiz Morais, Wolfgang Aigner, Doris Kosminsky, Magdalena Boucher, Søren Knudsen, Areti Manataki, Jan Aerts, Uta Hinrichs, Jonathan C. Roberts, Sheelagh Carpendale
2024	—	`conf`	Challenges and Opportunities of Teaching Data Visualization Together with Data Science. EduVIS@VIS Shri Harini Ramesh, Fateme Rajabiyazdi
2024	J	`jnl`	Challenges and Opportunities of Teaching Data Visualization Together with Data Science. CoRR Shri Harini Ramesh, Fateme Rajabiyazdi
2024	J	`jnl`	Co-Designing Unstructured Text Data Visualization Systems. CoRR Beck Langstone, Fateme Rajabiyazdi
2024	J	`jnl`	Design and Development of PainBit: a Portable Device for Supporting Patients with Chronic Pain to Log their Pain. CoRR Arsh Saleem, Beck Langstone, Alicia Ouskine, Fateme Rajabiyazdi
2024	J	`jnl`	Designing interactive data visualizations representing recovery progress for patients after stroke. CoRR Alicia Ouskine, Adrian D. C. Chan, Fateme Rajabiyazdi
2024	J	`jnl`	Practical Challenges of Progressive Data Science in Healthcare. CoRR Faisal Zaki Roshan, Abhishek Ahuja, Fateme Rajabiyazdi
2024	B	`conf`	TextVista: NLP-Enriched Time-Series Text Data Visualizations. Graphics Interface Fateme Rajabiyazdi, Shri Harini Ramesh, Beck Langstone, Daniil Kulik, Justin Pontalba
2024	J	`jnl`	The Elephant in the Room: Expert Experiences Designing, Developing and Evaluating Data Visualizations on Large Displays. Proc. ACM Hum. Comput. Interact. Mahsa Sinaei Hamed, Pak Kwan, Matthew Klich, Jillian Aurisano, Fateme Rajabiyazdi
2023	—	`conf`	A 4D visualization tool for treatment planning of non-invasive radioablation in patients with ventricular tachycardia. Image-Guided Procedures Connor Haberl, Andrew M. Crean, Katie Lekx-Toniolo, Elsayed Ali, Pablo B. Nery, Girish M. Nair, Graham Cook, Fateme Rajabiyazdi, Calum Redpath, Robert A. deKemp
2023	—	`conf`	Aging in Place Virtual Care Technology from the User Experience Perspective. HCI (33) Irina Kondratova, Hélène Fournier, Fateme Rajabiyazdi
2023	J	`jnl`	Challenges and Opportunities in Data Visualization Education: A Call to Action. CoRR Benjamin Bach, Mandy Keck, Fateme Rajabiyazdi, Tatiana Losev, Isabel Meirelles, Jason Dykes, Robert S. Laramee, Mashael AlKadi, Christina Stoiber, Samuel Huron, Charles Perin, Luiz Morais, Wolfgang Aigner, Doris Kosminsky, Magdalena Boucher, Søren Knudsen, Areti Manataki, Jan Aerts, Uta Hinrichs, Jonathan C. Roberts, Sheelagh Carpendale
2023	B	`conf`	Designing and Developing a Mobile Application for Monitoring & Visualizing Blood Pressure Data. SAS Mahsa Sinaei Hamed, Laura Reid, Alice Olorunnife, David Casciano, Fateme Rajabiyazdi
2023	J	`jnl`	EduVis: Workshop on Visualization Education, Literacy, and Activities. CoRR Mandy Keck, Samuel Huron, Georgia Panagiotidou, Christina Stoiber, Fateme Rajabiyazdi, Charles Perin, Jonathan C. Roberts, Benjamin Bach
2022	J	`jnl`	Reflections and Considerations on Running Creative Visualization Learning Activities. CoRR Jonathan C. Roberts, Benjamin Bach, Magdalena Boucher, Fanny Chevalier, Alexandra Diehl, Uta Hinrichs, Samuel Huron, Andy Kirk, Søren Knudsen, Isabel Meirelles, Rebecca Noonan, Laura Pelchmann, Fateme Rajabiyazdi, Christina Stoiber
2021	J	`jnl`	Communicating Patient Health Data: A Wicked Problem. IEEE Computer Graphics and Applications Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale
2021	J	`jnl`	Communicating Patient Health Data: A Wicked Problem. CoRR Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale
2020	B	`conf`	Exploring the Design of Patient-Generated Data Visualizations. Graphics Interface Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale
2017	—	`conf`	Differences that matter: in-clinic communication challenges. PervasiveHealth Fateme Rajabiyazdi, Charles Perin, Jo Vermeulen, Haley MacLeod, Diane Gromala, Sheelagh Carpendale
2017	—	`conf`	The challenges of individuality to technology approaches to personally collected health data. PervasiveHealth Fateme Rajabiyazdi, Charles Perin, Lora Oehlberg, Sheelagh Carpendale
2016	B	`conf`	Assessing the Readability of Stacked Graphs. Graphics Interface Alice Thudt, Jagoda Walny, Charles Perin, Fateme Rajabiyazdi, Lindsay MacDonald, Riane Vardeleon, Saul Greenberg, Sheelagh Carpendale
2016	—	`conf`	Designing and Developing Technologies to Facilitate Clinician-Patient Communication. ISS Companion Fateme Rajabiyazdi
2015	B	`conf`	Understanding Researchers' Use of a Large, High-Resolution Display Across Disciplines. ITS Fateme Rajabiyazdi, Jagoda Walny, Carrie Mah, John Brosz, Sheelagh Carpendale
2012	Misc	`conf`	Comparing User Performance on an iPad to a 17-inch BackPad. CISIS Fateme Rajabiyazdi, Tom Gedeon
2012	Misc	`conf`	Hand Grip Strength on a Large PDA: Holding While Reading Is Different from a Functional Task. CISIS Fateme Rajabiyazdi, Tom Gedeon

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.