The UXID Lab (User Experience and Interaction Design Lab) at Ontario Tech University conducts cutting-edge research in Human-Computer Interaction (HCI), with a strong emphasis on human-AI interaction, information visualization, and wearable technologies. We design intuitive, data-driven interfaces that enhance user experience and accessibility across digital platforms. Our interdisciplinary team explores how AI can better understand and support user needs, particularly through adaptive and responsive design. With a diverse group of students, researchers, and collaborators, the UXID Lab is committed to shaping the future of interaction design through innovation and inclusivity.
Focused on impactful advancements across a range of areas, from Human-Computer Interaction to AI in User Experience.
Exploring how AI systems can interact with users seamlessly, enhancing human-AI collaboration across diverse applications.
Exploring AI's potential in creating adaptive and personalized interfaces to enhance user engagement and accessibility.
Focusing on designing interaction techniques for wearable devices, aimed at accessibility and user-friendly interaction.
Authors: Sakil Sarker, Carlos Carrasco Garcia, Patrick Hung, Heidar Davoudi, Ali Neshati
Read Full PaperAuthors: Yasaman AkhoundzadehBasti, Heidar Davoudi, Ali Neshati
Read Full PaperAuthors: Syed Mekael Wasti, Ken Q Pu, Ali Neshati
Intelligent Systems Conference, 2024 - Springer, pp 639–655
Read Full PaperAuthors: Shaikh Shawon Arefin Shimon, Ali Neshati, Junwei Sun, Qiang Xu, Jian Zhao
Read Full PaperAuthors: Shimon Shaikh Shawon, Ali Neshati, Qiang Sun, Junwei, Xu, Jian Zhao
Read Full PaperAuthors: Xinyu Shi, Mingyu Liu, Ziqi Zhou, Ali Neshati, Ryan Rossi, Jian Zhao
Read Full PaperAuthors: Arman Hafizi, Jay Henderson, Ali Neshati, Wei Zhou, Edward Lank, Daniel Vogel
Read Full PaperAuthors: Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan Rossi, Shunan Guo, Fan Du, Jian Zhao
Read Full PaperAuthors: Jay Henderson, Ali Neshati, Sachi Mizobuchi, Wei Zhou, Daniel Vogel, Edward Lank
Read Full PaperAuthors: Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao
Read Full PaperAuthors: Jay Henderson, Ali Neshati, Sachi Mizobuchi, Wei Zhou, Daniel Vogel, Edward Lank
Read Full PaperAuthors: A Neshati, A Salo, SA Faleel, Z Li, HN Liang, C Latulipe, P Irani
ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction Pages 288 - 29
Read Full PaperAuthors: B Rey, K Zhu, ST Perrault, S Bardot, A Neshati, P Irani
Read Full PaperAuthors: Fouad Alallah, Ali Neshati, Nima Sheibani, Yumiko Sakamoto, Andrea Bunt, Pourang Irani, Khalad Hasan
Read Full PaperAuthors: A Neshati, B Rey, AS Mohommed Faleel, S Bardot, C Latulipe, P Irani
Read Full PaperAuthors: A Neshati, F Alallah, B Rey, Y Sakamoto, M Serrano, P Irani
Read Full PaperAuthors: Y Vasylkiv, A Neshati, SAM Faleel, Y Sakamoto, P Irani
Read Full PaperAuthors: S Bardot, S Rempel, B Rey, A Neshati, Y Sakamoto, C Menon, P Irani
AH '20: Proceedings of the 11th Augmented Human International Conference Article No.: 1, Pages 1 - 8
Read Full PaperAuthors: A Neshati, Y Sakamoto, L Leboe-Mcgowan, J Leboe-McGowan, M Serrano, P Irani
GI '19: Proceedings of the 45th Graphics Interface Conference Article No.: 23, Pages 1 - 9
Read Full PaperAuthors: W Delamare, A Neshati, P Irani, X Ren
Read Full PaperAuthors: Y Vasylkiv, A Neshati, Y Sakamoto, R Gomez, K Nakamura, P Irani
Read Full PaperAuthors: A Neshati, Y Sakamoto, P Irani
Read Full PaperAuthors: F Alallah, A Neshati, Y Sakamoto, K Hasan, E Lank, A Bunt, P Irani
Read Full PaperAuthors: M Saeed, A Mackvandi, M Taghavi, MZ Bidoki, M Ghasemi, A Neshati
2014 IEEE 17th International Conference on Computational Science and Engineering
Read Full PaperMaster's student specializing in AI, focusing on Human-AI Interaction and LLMs.
Co-supervisor: Dr. Kourosh Davoudi
Researching HCI with a focus on interaction design and usability in complex systems.
Co-supervisor: Dr. Christopher Collins
Exploring data-driven UX improvements and interactive system development.
Co-supervisor: Dr. Kourosh Davoudi
Final-year student with a research focus on wearable technologies like smartwatches.
Engage in cutting-edge research in HCI, focusing on adaptive interfaces, wearables, and the ethical design of interactive systems to improve user experiences.
Learn More & ApplyExplore advanced topics in Human-AI Interaction, including emotional AI, real-time feedback, and adaptive, AI-driven interfaces for enhanced user engagement.
Learn More & ApplyCollaborate with us on projects in input devices, ubiquitous analytics, and mobile interfaces, advancing Information Visualization and wearable UX.
Learn More & ApplySpecializing in Human-Computer Interaction, software design, and mobile development.
Practical courses in HCI and foundational computer science.
Programming fundamentals and object-oriented principles.
Have a question, collaboration idea, or want to join the lab? Drop us a message and we’ll get back to you!