Hello, I’m Larry.

I am wrapping up my Dual PhD at Indiana University Bloomington, where I was an NSF-NRT Fellow. I am co-advised by Yong-Yeol Ahn and Gregory Lewis.

I study how physiological and behavioral signals can help us understand how people think, feel, and interact with technology. My work spans human-centered AI, affective computing, and multimodal sensing.

• Email: larzhang@iu.edu
• CV: cv.pdf · resume.pdf
• Research areas: Affective computing, cognitive science, human-computer (AI) interaction, physiological and behavioral sensing

📰 News#

• 2026-05: 📄 Our paper Wow, Now I See It! — Leveraging the Physiology of Surprise to Help Designers Uncover Desirable Generative Designs was accepted at ACM Creativity & Cognition 2026.
• 2026-03: 📜 New patent published: Cardiovascular Biomarker Estimation Using PPG and BCG from a Wearable Device (US20260069166A1).
• 2026-02: 💼 Continuing at Dolby Laboratories as a Research Intern (Part-Time) in the Multimodal Experiences Lab, Advanced Technology Group.
• 2025-09: 💼 Started an Internship at Dolby Laboratories as a Neuroscience + AI Research Intern in the Multimodal Experiences Lab, Advanced Technology Group.
• 2025-04: 📄 Our paper Towards Cardiac Output Estimation Using Earbud Photoplethysmography Sensor was published at EMBC 2025.
• 2025-03: 📜 Two patents from Samsung Research America published: Cardiac signal quality check and feature extraction pipeline using morphological features for stress level estimation (US20250082277A1) and Extracting biomarkers for stress monitoring using mobile devices (US20250087366A1).
• 2024-12: 📄 Our paper Know Your Heart: Multimodal Cardiac Output Monitoring using Earbuds was accepted at ICASSP 2025.
• 2024-09: 💼 Started an internship at Toyota Research Institute on the Human-Centered AI team.
• 2024-06: 💼 Started an internship at Sony R&D Tokyo on the Human Sensing and Interaction team.
• 2024-01: 💼 Started an internship at Samsung Research America on the Digital Health team.

🌐 Explore#

• 📄 See my publications
• 📓 Wander through LZiki — notes, tips, links, and essays
• 📋 Read my CV

🎓 Education#

• Dual PhD in Intelligent Systems Engineering and Complex Network Systems, Indiana University Bloomington, 2020–present (NSF-NRT Fellow)
• BS in Electrical Engineering (Machine Learning and Controls), University of California, San Diego, 2013–2017

🤝 Let’s Connect#

If you’re interested in collaborating, please reach out! I’m also available to consult on data science and research projects, specifically related to human-centered AI, digital health, and affective computing.