2024 Future of Semiconductor Workshop: Intelligent Photonic Materials, Devices, and Systems
May 20, 2024
8:30 am–5 pm
WEB L105
Free-space and integrated photonic systems have created many new opportunities for computing, imaging, and sensing applications. In addition, new approaches, including machine learning, have created fresh perspectives for designing photonic materials and devices to improve system performance. This workshop will feature invited speakers to discuss recent advancements and state-of-the-art solutions to current challenges and explore future opportunities in these two domains.
Workshop Organizers
Weilu Gao
weilu.gao@utah.edu
Tsung-wei Huang
tsung-wei.huang@wisc.edu
Angela Rasmussen
angela.rasmussen@utah.edu
Bob Knudsen
robert.knudsen@utah.edu
Workshop Sponsors
Registration
Registration is free, but is required to attend.
Registration closes May 12, 2024.
Invited Speakers
Shengxi Huang (Rice University)
Vasili Perebeinos (University at Buffalo)
Mona Jarrahi (UCLA)
Mo Li (University of Washington, Seattle)
Carlos A. Rios Ocamp (University of Maryland, College Park)
Darius Bunandar (Lightmatter)
Jonathan Fan (Stanford University)
Yongmin Liu (Northeastern University)
Yuebing Zheng (University of Texas at Austin)
Zongfu Yu (University at Wisconsin-Madison)
Mahdi Nikdast (Colorado State University)
David Pan (University of Texas at Austin)
Agenda
| Start | End | Presenter | Institute | Talk Title |
|---|---|---|---|---|
| 8:00 | 8:30 | - | - | Breakfast |
| 8:30 | 8:45 | Jakob D. Jensen | University of Utah | Opening Remarks |
| 8:45 | 9:15 | Jonathan Fan | Stanford University | Data-driven electromagnetic surrogate simulators and their applications |
| 9:15 | 9:45 | Yongmin Liu | Northeastern University | Accelerating Photonic Design by Deep Learning |
| 9:45 | 10:15 | Yuebing Zheng | University of Texas at Austin | Machine Learning in Optical Imaging and Inverse Design |
| Break | ||||
| 10:30 | 11:00 | Mona Jarrahi | University of California, Los Angeles | Integrated Terahertz Optoelectronics |
| 11:00 | 11:30 | Mo Li | University of Washington, Seattle | Direct-write and rewritable phase-change photonic integrated circuits for in-package photonics |
| 11:30 | 12:00 | Carlos A. Rios Ocamp | University of Maryland, College Park | Photonic computational memories based on chalcogenide phase change materials |
| Lunch | ||||
| 1:15 | 1:45 | Shengxi Huang | Rice University | Designer 2D materials and machine-learning-assisted characterization |
| 1:45 | 2:15 | Vasili Perebeinos | University at Buffalo | Optical Properties of Two-Dimensional Materials for Quantum Technologies |
| 2:15 | 2:45 | Weilu Gao | University of Utah | Chiro-optics in Macroscopic Assemblies of Ordered Carbon Nanotubes with Controlled Structural Chirality |
| Break | ||||
| 3:00 | 3:30 | Zongfu Yu | University at Wisconsin-Madison | Spontaneous emergence of eyes in reinforcement learning agent |
| 3:30 | 4:00 | Darius Bunandar | Lightmatter | Accelerating AI through Photonic Computing and Communication |
| 4:00 | 4:30 | Mahdi Nikdast | Colorado State University | Integrated Photonics for Artificial Intelligence: Shedding Light on the Limitations! |
| 4:30 | 5:00 | David Pan | University of Texas at Austin | Closing the Virtuous Cycle of Photonics for AI and AI for Photonics |