Greetings! Welcome to Yun's design and research portfolio!
I hold a Ph.D. in Human-Computer Interaction from Iowa State University and currently serve as an Assistant Teaching Professor in the Departments of Information Technology and Management (ITM) and Computer Science (CS) at the Illinois Institute of Technology. My strong foundation in design and deep passion for it have been cultivated through both academic training and practical experience.
I am particularly enthusiastic about sharing my knowledge and igniting a passion for design in others, evident in my dedication to teaching and mentoring. My aim is to inspire the same level of excitement for design in my students as I have felt throughout my academic and professional journey.
My research interests are centered on Design Thinking and UX Design across diverse domains. What truly captivates me is the opportunity to view the world through the lens of design. Engaging in design research is akin to embarking on an enthralling journey, where every project unfolds as a captivating chapter in an ever-evolving story.
Please click the top bar or below to review each category:
UX Design, Art and Graphic Design, Product Design, Academic Research, Students' Work
EDUCATION
Iowa State University Ames, Iowa, United States
Ph.D. in Human-Computer Interaction 05/2022
Master of Design in Sustainable Environments 12/2017
Southwest Jiaotong University Chengdu, Sichuan, China
Master of Fine Art in Art 06/2016
Bachelor of Art in Industrial Design 06/2012
HONORS AND AWARDS
Superior Student Paper Award in ASEE Annual Conference 2022
Meritorious Student Paper Award in ASEE Annual Conference 2021
Graduate Student Innovation & Practice Project Grant (in China) 2016
Red Dot Award (concept design category) 2015
National Scholarship for Graduate Students (in China, the highest scholarship) 2015
Excellent Design Award at Competition of Design (in China) 2014
PUBLICATIONS
Li, J., Pang, M., Dong, Y., Wang., B. (2025). Deterministic Certification of Graph Neural Networks against Poisoning Attacks with Arbitrary Perturbations. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.48550/arXiv.2503.18503
Li, J., Pang, M., Dong, Y., Jia, J., Wang., B. (2025). Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. International Conference on Learning Representations (ICLR). https://doi.org/10.48550/arXiv.2502.04224
Zhang, B., Noorbakhsh, S.L., Dong, Y., Hong, Y., & Wang, B. (2025). Learning robust and privacy-preserving representations via information theory. AAAI Conference on Artificial Intelligence (AAAI). https://doi.org/10.48550/arXiv.2412.11066
Li, J., Pang, M., Dong, Y., Jia, J., Wang., B. (2024). Graph Neural Network Explanations are Fragile. International Conference on Machine Learning (ICML).
https://doi.org/10.48550/arXiv.2406.03193
Arevalo, C. A., Noorbakhsh, S. L., Dong, Y., Hong, Y., & Wang, B. (2024). Task-agnostic privacy-preserving representation learning for federated learning against attribute inference attacks. AAAI Conference on Artificial Intelligence (AAAI). https://doi.org/10.48550/arXiv.2312.06989
Wang, B., Pang, M., & Dong, Y. (2023). Turning Strengths into Weaknesses: A certified robustness inspired attack framework against graph neural networks. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.48550/arXiv.2303.06199
Dong, Y.*, Ahn, B.*, & Akinci-Ceylan, S. (2023). Actions recent engineering graduates undertake to integrate into the workplace–a case study from the aerospace industry. International Journal of Engineering Education, 39(2), 464-475. https://www.ijee.ie/1atestissues/Vol39-2/18_ijee4325.pdf (*The two authors contributed equally to this work)
Dong, Y., Roy, S., & Reber, M. (2022, August). Similarities and differences between the actions of newly-hired engineers and engineering managers during the organizational socialization period. In 2022 ASEE Annual Conference & Exposition. https://peer.asee.org/41830
Reber, M., Dong, Y., Roy, S., & Ahn, B. (2022, August). Identifying the challenges aerospace engineers face during the transition from university to industry. In 2022 ASEE Annual Conference & Exposition. (Superior Student Paper Award in the Aerospace Division). https://peer.asee.org/41824
Roy, S., Dong, Y., Baber, L., & Ahn, B. (2022). Classroom to workplace: knowledge and skills learned by recently hired aerospace engineers. Journal of Aerospace Information Systems, 19(4), 317-329. https://doi.org/10.2514/1.I011043
Dong, Y., Ahn, B., & Tobey, U. J. (2022). Exploring engineering managers’ perspectives on the actions of engineering managers and newly hired engineers during the new engineers’ socialization period. Engineering Management Journal, 34(3), 343-356. https://doi.org/10.1080/10429247.2021.1922220
Dong, Y., Roy, S., Baber, L. D., & Ahn, B. (2021, July). Identifying the proactive actions of newly hired engineers during the socialization period. In 2021 ASEE Annual Conference & Exposition. (Meritorious Student Paper Award in the Aerospace Division) https://peer.asee.org/37272
Davis, L., Ahn, B., Dong, Y., & Campbell, R. N. (2020, June). Factors that affect retention and satisfaction among newly hired aerospace engineers. In 2020 ASEE Virtual Annual Conference & Exposition. https://peer.asee.org/34659
Dong, Y., Huang, T., & Liu, G. (2015, May). The design research of improving safety facility based on user experience: a case study of fire extinguisher box. In 2015 International Conference on Applied Science and Engineering Innovation. https://doi.org/10.2991/asei-15.2015.354