A cutting-edge computer science research program in data perceptualization, visual analytics, human interface, and computer graphics focuses on advancing the equitable and accessible representations of and interaction with large and complex data sets. The program explores innovative techniques for rendering and visually representing data in intuitive and aesthetically pleasing ways, enables users to interactively explore and analyze data through use of visual representations to gain insight, identify patterns and make data-driven decisions, and enhances user experiences through interactive interfaces. By leveraging state-of-the-art computational technologies, this program aims to bridge the gap between data analytics and human cognition, enabling more effective data-driven decision-making and communication.
Academics and Coursework
In addition to broader requirements for a CS undergraduate or graduate degree, students may specialize their education around Data Perceptualization and User Experience topics via these undergraduate and graduate level courses:
Undergraduate Courses
| CSC 630 | Computer Graphics Systems Design |
| CSC 642 | Human-Computer Interaction |
| CSC 698 | Topics in Computing - Information Visualization |
| CSC 699 | Independent Study |
Graduate Courses
| CSC 805 | Data Visualization: Concepts, Tools, Techniques, and Paradigms |
| CSC 842 | Human-Computer Interaction |
| CSC 895 | Applied Research Project |
| CSC 897 | Research |
| CSC 898 | Master's Thesis |
| CSC 899 | Independent Study |
Faculty and Focus Areas
Publications and Reports
Nina Mir, Ragaad AlTarawneh, and Shah Rukh Humayoun: “Circles: Inter-Model Comparison of Multi-Classification Problems with High Number of Classes”. IEEE VIS 2023: Visualization and Visual Analytics. Melbourne, Australia, 22-27 October, 2023. https://arxiv.org/abs/2309.05672
Syed Ahsan Ali Dilawer and Shah Rukh Humayoun: “MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes”. IEEE VIS 2023: Visualization and Visual Analytics. Melbourne, Australia, 22-27 October, 2023. https://arxiv.org/abs/2309.05676
Ilya Nemtsov, MST Jasmine Jahan, Chuting Yan, and Shah Rukh Humayoun: “TECVis: A Visual Analytics Tool to Compare People's Emotion Feelings”. IEEE VIS 2023: Visualization and Visual Analytics. Melbourne, Australia, 22-27 October, 2023. https://arxiv.org/abs/2309.04722
Snehal Patil and Shah Rukh Humayoun: “A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data”. IEEE VIS 2023: Visualization and Visual Analytics. Melbourne, Australia, 22-27 October, 2023. https://arxiv.org/abs/2309.04724
Shimizu M.* and Kulkarni A. (2023) Quantitative Measures of Online Health Information (QMOHI): Broadening the impact through improved usability, applicability, and effectiveness. Appears in 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI). IEEE
Shah Rukh Humayoun, Salman Zaidi, and Ragaad AlTarawneh: “SamS-Vis: A Tool to Visualize Summary View Using Sampled Data”. 19th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2023), York, UK, August 28 – September 1, 2023, Lecture Notes in Computer Science book series (LNCS, volume 14145), Springer, 557-562
Shah Rukh Humayoun, Yael Dubinsky, Kerri Kariti, Moshe Kariti: “Where Do All Stakeholders Find the Software Product Blueprint?” 19th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2023), York, UK, August 28 – September 1, 2023, Lecture Notes in Computer Science book series (LNCS, volume 14145), Springer, 590-594
Jenna Wong, Shah Rukh Humayoun, Khanh Nguyen, and Yongjian Pan: “Reinforcing Human-Technology Interaction Theory through a Virtual Reality Engineering Training Application”. In the American Society for Engineering Education Annual Conference (ASEE 2023), Balyimore Convention Center, MD, USA, June 25-28, 2023.
Zihao Wang and Shah Rukh Humayoun: “Vertex2Image: Construct Human Figure Based On A Monocular Video”. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI '23 Companion). Association for Computing Machinery, New York, NY, USA, 108–111.
René Reinhard, Erinchan Telatar, and Shah Rukh Humayoun: “Comparison of Object Detection in Head-Mounted and Desktop Displays for Congruent and Incongruent Environments”. Big Data and Cognitive Computing Journal, 6(1): 28 (2022).
Jenna Wong and Shah Rukh Humayoun. “Expanding Structural Engineering Education through Virtual Reality”. In American Society for Engineering Education Annual Conference (ASEE 2022), Minneapolis, Minnesota, USA, June 26-29, 2022.
Shah Rukh Humayoun and Likhitha Brahmadevara: “Chord2DS: An Extension to Chord Diagram to Show Data Elements from Two Heterogeneous Data Sources”. In 24th EG/VGTC Conference on Visualization (EuroVis 2022), Rome, June 13-17, 2022.
Kulkarni A, Wong M, Belsare T*, Shah R*, Yu Yu D**, Coskun B**, Holschuh C, Kakar V, Modrek S, Smirnova A. (2022) Quantifying the Quality of Web-Based Health Information on Student Health Center Websites Using a Software Tool: Design and Development Study. JMIR Form Res 2022;6(2):e32360. https://doi.org/10.2196/32360
Shah Rukh Humayoun and Siddhita Chimote: “An Interactive Visualization Tool to Explore People's Tweets towards COVID-19”. In International Conference on Advanced Visual Interfaces (AVI 2022), Rome, June 06-10, 2022.
Shah Rukh Humayoun, Ghazanfar Abbas, and Ragaad AlTarawneh: “Touch-behavioral Authentication on Smartphones using Machine Learning”. In ACM 27th International Conference on Intelligent User Interfaces (IUI ’22 Companion), March 22–25, 2022, Helsinki, Finland. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3490100.3516456
Kakar V, Kulkarni A, Holschuh C, Smirnova A, Modrek S. (2022) Contraception information on the websites of student health centers in the United States. Contraception. 2022 Jan 25:S0010-7824(22)00011-7. https://doi.org/10.1016/j.contraception.2022.01.007.
Modrek, S., Wong, M., Kulkarni, A., Holschuh, C., & Kakar, V. (2022). Medication abortion: State of information on Student Health Center websites. Journal of American College Health, 1-5. https://doi.org/10.1080/07448481.2022.2155472
Peer-Timo Bremer, Georgia Tourassi, Wes Bethel, Kelly Gaither, Valerio Pascucci, and Wei Xu. Visualization for Scientific Discovery, Decision-Making, and Communication. Summary Report from the ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, and Communication, United States, January 2022. https://www.osti.gov/biblio/1845708
Shah Rukh Humayoun, Ibrahim Mansour, Ragaad AlTarawneh: “TEVisE: An Interactive Visual Analytics Tool to Explore Evolution of Keywords' Relations in Tweet Data”. The IFIP Technical Committee 13 18th International Conference on Human–Computer Interaction (INTERACT ’21), 579-599, August 30 – September 03, 2021.
Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, and Remco Chang: “CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs”. IEEE Transactions on Visualization & Computer Graphics (TVCG), 27(2): 1731-1741, Feb. 2021.
Shah Rukh Humayoun, Muhammad Faizan, Zuhair Zafar and Karsten Berns: “Space-free Gesture Interaction with Humanoid Robot”. International Conference on Advanced Visual Interfaces (AVI 2020), Island of Ischia, Italy September 28 - October 2, 2020.
Grants and Awards
Structural Engineers Association of Northern California (SEAONC). SAP Evaluator Training/SEAONC.). PI: Jenna Wong (School of Engineering), Co-PI: Shahrukh Humayoun (Department of Computer Science), $10,000, Feb. – June 2022.