CSE 165 - 3D User Interactions

Meet Your Instructors

Professors:

Jurgen Schulze, jschulze@ucsd.edu
Nadir Weibel, weibel@ucsd.edu

Office Hours: By Appointment

Teaching Assistants

Chen Chen, chenchen@ucsd.edu
Office: DIB 337
Office Hours: Monday 5pm - 6pm in CSE B210
If you need to meet during non-office timeslot, feel free to send me an email. You could refer to here for my calendar.

Weichen Liu, wel008@ucsd.edu
Office: DIB 336

XR Lab Manager

Robert Kaufman, rokaufma@ucsd.edu
Office: DIB 337

Hello and Welcome to CSE 165: 3D User Interactions!

We are Professor Jurgen Schulze and Nadir Weibel, in the Computer Science and Engineering Department at UC San Diego, and we will be co-teaching this class.

Prof. Schulze is an Adjunct Professor in the Computer Science and Engineering department at UCSD, and a Senior Staff Engineer at Qualcomm, where he manages and develops novel use cases of XR devices. He is a leading expert in XR research and has a strong background in developing innovative VR and AR applications, 3D HCI techniques, and medical data visualization methods. He teaches computer graphics and 3D user interfaces. His research is in scientific visualization, immersive virtual environments, human-computer interaction, real-time volume rendering, and mobile devices for graphics applications. He holds an M.S. degree from the University of Massachusetts and a Ph.D. from the University of Stuttgart, Germany. After his graduation he spent two years as a post-doctoral researcher in the Computer Science Department at Brown University, before he joined UC San Diego in 2005.

Prof. Weibel is a Professor in CSE, the Associate Faculty Director of the Design Lab, and a Research Health Science Specialist at the VA San Diego Health System. At UCSD he directs the Human-Centered eXtended Intelligence Lab, and his work on Human-Centered Computing is situated at the intersection of computer science, design, and the health sciences. Prof. Weibel is a computer scientist who investigates tools, techniques, and infrastructure supporting the deployment of innovative interactive multimodal and tangible devices in context, and an ethnographer using novel methods for studying and quantifying the cognitive consequences of the introduction of this technology in the everyday life. His main interests range from software engineering to human-computer interaction, particularly focusing on mobile health, computer-supported cooperative work, medical informatics, mobile, and ubiquitous computing.

For CSE 165, Winter 2024, we will be assisted by your Teaching Assistants (TAs), Chen Chen, and Weichen Liu

Chen is a Ph.D. Candidate in Computer Science advised by Prof. Nadir Weibel. He is affiliated with the Department of Computer Science and Engineering, The Design Lab, as well as Human-Centered eXtended Intelligence Lab. He is an incoming research intern at Microsoft Research and was a former researcher at Adobe Research San Francisco and Carnegie Mellon University. His research focus on Human-Computer Interactions, Accessibility, AI-powered Creativity Support Tools, and Mobile Sensing Systems. His dissertation focuses on enhancing future document interaction experience by leveraging eXtended Reality, Conversational Voice Assistant and Generative AI. His past works have been recognized by the ACM Best Poster Award, Qualcomm Innovation Fellowship (Finalist), and Adobe Research Fellowship (Finalist). He received a M.S. in Electrical and Computer Engineering from Carnegie Mellon University, as well as a B.Eng. in Electrical and Electronic Engineering from The University of Nottingham in the UK. For more about his past work, please refer to his website: https://chen-chen.me.

Weichen is a Ph.D. student in CSE working at the intersection of Human-Computer Interaction (HCI), Mixed Reality, and Brain-Computer Interfaces (BCI). As a member of both the HXI lab and the SCCN lab, his works span behavioral VR study, human-agent teaming and interaction, and visualization, with applications ranging from attentional bias evaluation, bio-signals analysis to remote intervention. His current research investigates the potential of integrating large language models (LLMs) with real-time emotion recognition in XR environments to develop emotion-adaptive AI assistants. By leveraging multimodal physiological markers such as EEG, GSR, and eye-tracking, these adaptations aim to provide personalized guidance and support, enhancing user engagement and experience across various domains. Weichen's work focuses on evaluating the effectiveness of emotion-adaptive AI assistants in XR through user studies and exploring their potential applications in mental health, learning, and entertainment.

The lab space of CSE B210 would be managed by Rob.

Rob is a Ph.D. student in Cognitive Science and a Human-Computer Interaction researcher in the Design Lab at University of California, San Diego. He is broadly interested in how people interact with complex information systems. Robert’s current research is focused on bridging the “trust gap” between Artificial Intelligence systems and their users in the domains of autonomous driving, healthcare, and social media. Robert has a particular interest in the role of AI explainability and communication, and his interdisciplinary research projects often aim at improving trust between people and intelligent machines using personalized and needs-based approaches. For more information, please refer to his personal website: robertalexkaufman.com. Feel free to also refer to this website for more information about our lab space.

CSE 165 - 3D User Interactions

Meet Your Instructors

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