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AR/VR/MR/XE Technologies and User Experience
Time: 8:30-10:00 am
SE-1: Human-Machine Interface Technologies in the Metaverse Era
With the emergence of VR, AR, and MR technologies and products, the Metaverse has become a technological and social reality, requiring near-eye and head-mounted displays as well as other human-machine interfaces. As opposed to touch sensors, the technology of choice for human-machine interfaces with mobile devices and personal computers, AR/VR/MR gadgets rely heavily on eye-tracking and haptic devices. Early AR/VR devices don’t deliver a good immersive experience due to lack of intuitive eye-tracking, and early tactile sensors are incapable of performing multiple functionalities and cannot compete with human hands/skin. In this seminar, an overview of human-machine interface technologies will be conducted, followed by prospects for human-machine interface technologies required in the Metaverse era. Last but not least, the recent research on sensors for human-machine interfaces will be discussed.
Kai Wang is currently a full professor with the School of Electronics and Information Technology at Sun Yat-Sen University in China. He earned his PhD from the University of Waterloo in Canada in 2008 and was thereafter appointed an NSERC postdoctoral fellow at Thunder Bay Health Science Centre in Canada, where he conducted research on flat-panel X-ray detectors until joining Apple in the US as a senior hardware development engineer in 2011. He then worked in the Department of Electrical and Computer Engineering at Carnegie Mellon University as an adjunct professor before joining Sun Yat-Sen University in 2014. His current research focuses on emerging applications of thin-film transistors for non-display applications including image sensors and human-machine interfaces. He has published more than 100 journal papers/conference proceedings and coauthored more than 20 patents, many of which have been transferred to industry.
Moderator: Rashmi Rao, Philips Healthcare
AR/MR/VR Technologies and User Experience
Time: 10:20-11:50 am
SE-4: AR/VR Light Engines: Present Status and Future Challenges
College of Optics and Photonics, University of Central Florida
Light-engine and imaging optics jointly determine the performance of augmented-reality (AR) and virtual-reality (VR) displays in terms such as power consumption, form factor, field-of-view, eye box, image quality, contrast ratio, cost, etc. In immersive VR headsets, high-dynamic-range miniLED backlit LCDs and organic light-emitting diode (OLED) displays are currently the two dominant technologies, while high-efficiency pancake lenses and beam-shaping films help to reduce the form factor and power consumption. In optical see-through AR displays, high brightness yet ultracompact liquid-crystal-on-silicon, OLED-on-silicon, microLED displays, MEMS, and laser beam scanners are strong contenders to offer a high ambient contrast ratio for outdoor applications. In terms of optical combiner, geometric optics, diffractive waveguide, achromatic waveguide, and metalens visor are promising candidates for expanding the eye box while keeping a compact and lightweight form factor.
Shin-Tson Wu is a Trustee Chair professor at the College of Optics and Photonics, University of Central Florida (UCF). He is an Academician of Academia Sinica, a Charter Fellow of the National Academy of Inventors, and a Fellow of the IEEE, OSA, SID, and SPIE. He is a recipient of the Optica Edwin H. Land Medal (2022), SPIE Maria Goeppert-Mayer Award (2022), Optica Esther Hoffman Beller Medal (2014), SID Slottow-Owaki Prize (2011), Optica Joseph Fraunhofer Award (2010), SPIE G. G. Stokes Award (2008), and SID Jan Rajchman Prize (2008). He has published seven books and 660 journal papers and obtained 95 U.S. patents. In the past, he served as the founding Editor-In-Chief of the Journal of Display Technology, Optica publications council chair and board member, and SID honors and awards committee chair.
Time: 12:50-2:20 pm
SE-7: Flexible Hybrid Electronics Toward Cyber-Physical Interactive Systems
Cyber-physical systems are transforming the way that people interact with the physical world by seamlessly integrating sensing, computation, control, and networking into various physical objects and infrastructures. Flexible hybrid electronics (FHE) that involve both flexible thin-film transistor (TFT) circuits and systems with thinned low-power silicon chips show great potential in cyber-physical interactive systems such as internet of things (IoT), telemedicine, virtual/mixed-reality, and unmanned vehicles. However, the challenges of FHE system design, including manufacturing and integration with physical objects, are not trivial. In this presentation I will walk through the recent advances of FHE systems, then discuss potential solutions to make low-power light-weight cyber-physical systems a reality.
Tsung-Ching Huang received his PhD in electrical & computer engineering and MA in business economics from the University of California at Santa Barbara. He has held research positions at the University of Tokyo, Tsmc North America, and Hewlett Packard Labs. He led funded research projects to develop process design kits (PDK) for flexible hybrid electronics (FHE) and flexible thin-film transistor (TFT) circuits toward sensing and computation applications. He invented a TFT design style, “Pseudo-CMOS,” which is now widely used by researchers around the world toward flexible microprocessors and analog amplifications. His book Design, Automation, and Test for Low-Power and Reliable Flexible Electronics (ISBN: 1601988400) is the first book dedicated to design automation toward flexible electronics. Huang is a Fellow of NextFlex, a senior member of IEEE, and a member of SID.
Moderator: Ian Underwood, University of Edinburgh
Time: 2:40-4:10 pm
SE-10: Display Glass Innovations for Backlights
Senior Research Associate
Glass has been essential to display industry advancements for more than 80 years – from the days of glass cathode ray tubes through the evolution of flat-panel liquid-crystal displays. Highly engineered glass has helped achieve breakthroughs in display performance and style from within the stack as a display substrate, when used as a carrier substrate for flexible technologies, when used as a cover material for mobile consumer electronics, and when used as a light guide in augmented- and mixed-reality applications. The key to this material’s versatility is the fact that many of its desired attributes are tunable by refining its chemical composition and applying highly precise manufacturing processes. In this seminar, we will showcase some recent progress in using highly engineered glass to help address the challenges of emerging display technologies, such as brightness, thinness, and novel form factors. Applications covered will include a glass light guide for edge-lit backlights, as well as a glass diffuser plate, a patterned glass diffuser, and a glass circuit board for direct-lit miniLED backlights.
Xiang-Dong Mi is a senior research associate in optics and display at Corning, Inc. He earned his PhD in chemical physics from the Liquid Crystal Institute of Kent State University, his MBA from the Rochester Institute of Technology, and his BS from Beijing Normal University. He is a senior member of the Society for Information Display, with a career spanning more than 20 years in the industry. Throughout this time, his focus areas have ranged from display technologies to components and systems using displays. His work has resulted in more than 30 published papers, more than 70 US patents, and more than 100 US patent applications, with patents assigned to several companies. Most recently, he has specialized in glass-based innovations for backlights and displays.
Time: 4:30-6:00 pm
SE-13: Design Challenge of Various Optical Architectures for AR/VR HMDs
This seminar will review and analyze various optical architectures, display technologies, and optical building blocks used in head-mounted displays (HMDs) for augmented reality (AR) and virtual reality (VR). Basic concepts for near-eye display optics and key design parameters will be explained. Design challenges caused by the constraints between various parameters will be analyzed. Some typical optical architectures, including bird bath, pancake, free form, and waveguide will be presented.
Huajun Peng received his doctoral degree from the Center for Display Research (CDR) of Hong Kong University of Science and Technology (HKUST) in 2005. He has been engaged in cutting-edge work in the information display field for the past 20 years, covering OLED devices, LED local dimming BLUs, HDR algorithm systems, LCoS/OLEDoS fabrication, and near-eye display optics. Peng founded Shenzhen NED Optics, Ltd., and serves as CEO, focusing on AR/VR optics and headsets. He has published 20 academic papers and is an inventor of 40 issued patents.
Moderator: Arokia Nathan, Darwin College, Cambridge University
SE-2: Thin-Film Transistor Modeling
John F. Wager
A fresh approach to thin-film transistor (TFT) modeling is overviewed, involving use of the Enz, Krummenacher, Vittoz (EKV) compact model. The EKV model is used to define an EKV mobility and to connect EKV mobility to drain current such that transfer or output curves can be accurately simulated. Accurate simulation requires precise modeling of the drift mobility, which is accomplished as a consequence of accumulation layer electrostatics assessment of the TFT structure of interest. The utility of this EKV-based model is demonstrated via simulation of several types of single- and dual-layer amorphous oxide semiconductor TFTs.
Prior to his January 2018 retirement, John F. Wager held the Michael and Judith Gaulke Endowed Chair in the School of EECS at Oregon State University. He is lead author of a book entitled Transparent Electronics. Transparent electronics technology developed in his group at OSU was licensed to Hewlett-Packard Company, which continued advanced joint-development with the group. This technology is finding emerging, high-value applications in flat-panel display thin-film transistor backplanes. Professor Wager is an IEEE, NAI, and SID Fellow.
Display Technologies and Applications
SE-5: Thin-Film Transistor Technologies for Advanced Displays and Beyond-Display Applications
Thin-film transistors (TFTs) are important elements for making active-matrix displays, imagers, and various human-machine interfaces. For advanced displays of better image/video quality and lower power consumption, there is continuous pursuit of TFT performance toward higher mobility, lower leakage current, and better operational stabilities. To drive different display technologies (LCDs, OLEDs, and microLEDs) of various panel sizes, the operational modes and biasing regimes of TFTs differ. This results in the need to explore the inherent mechanisms of display non-idealities related to the electrical characteristics and reliability of TFTs. Due to the difficulties of developing a TFT with all merits, hybrid TFT backplanes (e.g. LTPO) have been developed. TFTs have also been adopted for implementing active-matrix imagers and various sensor arrays. Low-temperature-processed TFTs attract lots of interest for the possibility of using common plastic substrate materials of low cost and good optical transparency to make flexible displays, circuits, and systems. This seminar will review these TFT technologies for advanced displays and beyond-display applications.
Xiaojun Guo is currently a professor at Shanghai Jiao Tong University in China. He received his PhD in electronic engineering from the University of Surrey, UK, in 2007. He worked at Plastic Logic, Cambridge, UK, before joining the School of Electronic Information and Electrical Engineering at Shanghai Jiao Tong University in 2009. He is working on thin-film transistor devices and circuits for displays, sensors, and emerging compute-in-sense systems. Guo has more than 100 publications in journals and conference proceedings. He is member of the active-matrix devices sub-committee of the SID, and a distinguished lecturer of the IEEE Electron Devices Society. He received 2018/2020 SID Presidential Citation awards.
Moderator: Samantha Phenix, Phenix Consulting
Display Technologies and Applications
Time: 12:50-2:20 pm
SE-8: Emerging Designs for Organic Infrared Photodetectors
Tse Nga Tina Ng
The shortwave infrared spectral region (SWIR: 1-3 mm) is particularly powerful for health and environmental monitoring, enabling greater penetration depth and improved resolution in comparison to visible light. However, conventional SWIR sensors are limited by complex die transfer and bonding processing. This tutorial will discuss the advances made in organic infrared detectors to overcome the issues in conventional SWIR detectors. The organic devices show photo-response spanning from the visible to 1.7 microns, using a new generation of semiconducting polymers that are processed by solution-processing techniques and allow simple direct deposition. This seminar will discuss the recent progress in organic SWIR photodetectors and identify avenues that will improve sensor detector. Several demonstrations will show the various potential applications of organic infrared imagers, particularly for an up-conversion structure that combines photo-sensing and display in a compact structure without the need for pixilation. The imaging active area of 2 cm2 enables concurrent recording of blood vessel location and blood flow pulses. Finally, the seminar will conclude by examining future device designs that promote photomultiplication and spectral selectivity to enhance the functionalities of organic photodetector systems.
Tse Nga Tina Ng is a professor of electrical and computer engineering at the University of California San Diego (UCSD). She received her PhD in physical chemistry in 2006 from Cornell University under the supervision of Professor John Marohn. Subsequently she worked at industrial research lab Xerox Palo Alto Research Center before joining UCSD in 2015. Her work on organic photodetectors received a 2017 Bell Lab Prize Silver Medal. She was named a Hartwell Investigator in 2017 and received an NSF Mid-Career Advancement Award in 2021. She was elected a Fellow of the National Academy of Inventors in 2021. Her lab website can be found at http://flexible-electronics.ucsd.edu/publications/
Moderator: Samantha Phenix, Phenix Consulting
Time: 2:40 – 4:10 pm
SE-11: Polycrystalline-Oxide TFTs in Comparison to Amorphous-Oxide Semiconductors for Display Applications
Kyung Hee University
Amorphous oxide has a lot of weak bonds and carrier traps, which could be reduced by using crystalline-oxide semiconductors. This seminar explains the comparison between a- and c-phase in terms of mobility, stability, and manufacturing issues. In addition, recent findings on polycrystalline oxide together with LTPO TFTs will be described.
Jin Jang is a Professor in the Department of Information Display and the Advanced Research Center of Kyung Hee University. He is the author or co-author of over 1,000 papers, of which more than 670 are in SCI/SCIE Journals such as Nature, JSID, Advanced Functional Materials, and Advanced Materials. He is working on oxide, LTPS, and LTPO-TFT arrays for displays, flexible AMOLED, AM microLED, and AM-TFT sensors. He reported the first full-color AMLCD, flexible AMOLED, and full-color AMOLED using white OLED at SID’s Display Week. He is currently a Director of the Advanced Display Research Center (ADRC) and has served as general chairs of IMID and Display Week.
Moderator: Neetu Chopra, Apple
SE-14: Quantum-Dot Patterning for Display Applications
Xiao Wei Sun
This seminar begins with the ultimate goal for displays, naked-eye 3D, along with the demands for realizing such 3D displays, while introducing colloidal quantum-dot (QD) displays. Key technologies needed for QD to become a display, especially pixel patterning, are discussed, including the recent development of QD patterning, especially photolithography-based patterning. The presenter cites the use of electrodeposition, inkjet printing, to achieve high-resolution pixilation and highly reliable quantum-dot light-emitting diodes (QLEDs). A QD microdisplay is also demonstrated by integrating QLED onto a silicon backplane. These developments could contribute to the ultimate 2D display panel for light-field 3D displays
Xiao Wei Sun is currently a chair professor and executive dean for nanoscience and applications at the Southern University of Science and Technology in Shenzhen, China. He is also head of the department of electrical and electronic engineering. Before joining Southern University of Science and Technology, he worked at Nanyang Technological University, Singapore, as a full professor. He holds an honorary PhD from the Belarusian State University of Informatics and Radioelectronics and is an Academician of the Asia-Pacific Academy of Materials and a Fellow of SID, Optica (formerly OSA), SPIE, and the Institute of Physics (IoP, UK). Sun is a distinguished lecturer of the IEEE Nanotechnology Council, an Elsevier Highly Cited Scholar, and a Stanford Top-2% Scientist. He is also the SID Slottow-Owaki Prize recipient this year.
Machine Learning and AI
Time: 8:30 – 10:00 am
SE-3: Force Touch Technologies and Applications for Interactive Displays
Interactive displays are one of the must-have technologies in this information-centered era, and numerous techniques have been developed for enhancing the human-machine interactive (HMI) experience. Among them, capacitive-based architectures, which support contact position detection, have met with commercial success. Nevertheless, along with the fast growth of data exchange volume, touch events’ force information is essential for improving HMI efficiency, triggering a generation of force-touch detection methods, which will be discussed in this talk. Mainstream force-touch-supported techniques will be described, followed by piezoelectric techniques. At the end of the seminar, fancy applications created by the integration of force-touch information and AI algorithms will be overviewed.
Shuo Gao received a PhD in electrical engineering from the University of Cambridge, UK, in 2018. From 2017 to 2018, he was a research associate at University College London, UK. He is currently an associate professor at Beihang University, China. His expertise area is human–machine interactive systems. He has over 100 publications, including books, peer-reviewed journals, flagship conferences, and patents. He received the Xiaomi Youth Scholar Award in 2022. In terms of industrial experience, he worked as an optical fiber system engineer at Ciena Corporation in Canada from 2012 to 2013 and as a technique consultant at Cambridge Touch Technologies, Inc., in the UK, from 2013 to 2017.
Moderator: George Zhaojun Liu, Southern University of Science and Technology
Machine Learning and AI
Time: 10:20 – 11:50 am
SE-6: AI for Displays, and Displays for AI
Recent years have witnessed explosive progress in artificial intelligence (AI). This talk gives a synergetic overview of displays and AI. We first look at the backgrounds of display and AI technologies and then discuss the recent progress in the interaction between these two disciplines, namely AI for displays and displays for AI. The former discusses how to apply AI to display design, implementation, optimization, and application; while the latter describes how various display technologies facilitate the research and application of AI. We will also discuss the unresolved challenges and point out some possible future directions.
Guangtao Zhai is a professor in the department of electronics engineering at Shanghai Jiao Tong University. His research interests are in the fields of multimedia and perceptual signal processing. He has published over 400 research papers in international journals and conferences and has received seven best paper awards, including the 2018 IEEE Multimedia Prize Paper Award and the 2022 IEEE Broadcast Technology Society Best Paper Award. He is a member of IEEE CAS MSA TC and SPS IVMSP TC and serves as editor-in-chief of Displays journal published by Elsevier.
Moderator: George Zhaojun Liu, Southern University of Science and Technology
Time: 12:50 – 2:20 pm
SE-9: Artificial Intelligence and Smart Wearables for Movements, Interactions, Metaverse, and Health
The digitizing and tracking of complex human hand and body movements and interactions have applications in gaming, metaverse, sports, and health. Novel computer vision (CV), artificial intelligence (AI), and wearable technologies have been demonstrated that enable real-time capture of these movements. This talk presents some of the latest advances in smart wearable and apparel technologies, AI, and machine learning (ML) that capture human body, joints, hand movements, and interactions with objects, and assess muscle activities that unlock many applications in remote health, neuromuscular rehab, augmented and virtual reality, fitness, sports, and gaming.
Peyman Servati is CEO of Texavie Technologies Inc., delivering products that combine artificial intelligence (AI) and MarsWear smart apparel for personalized tracking of movements, muscles, and health for a wide range of applications in gaming, metaverse, sports, wellness, space, defense, and remote health. Servati’s research and innovation focus is on ML and AI, digital health, wearable technology, smart textiles, and clean energy. He is also a professor at the University of British Columbia and has worked as a researcher at the University of Cambridge, Stanford University, and the University of Waterloo, where he received his PhD in 2004.
Moderator: Xiaowei Sun, Southern University of Science and Technology
SE-12: An Enabling Metal-Oxide Thin-Film Transistor Technology for Smart Sensor Construction and 3D Monolithic Integration
Professor, Department of Electronic and Computer Engineering
A robust 300 oC thin-film transistor (TFT) technology based on semiconducting metal oxides is presented. Its application to the construction of a parallel, double-gate TFT with a channel sandwiched between two gate electrodes is discussed. The threshold voltage referenced to one electrode of such a TFT can be modulated by the bias applied on the other electrode. Double-gate TFTs are deployed in the construction of the signal-coupling elements of a sensor and the computation units of a neural network. The two can be monolithically integrated to realize “smart” sensors. Three-dimensional monolithic stacking of metal-oxide TFTs on silicon-based transistors is possible, largely enabled by the relatively low process temperature of the former.
Man Wong obtained his BS and MS degrees from the Massachusetts Institute of Technology, and his PhD from Stanford University, all in electrical engineering. After working for a few years at the Semiconductor Process and Design Center of Texas Instruments, he joined the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. His research interests include micro-fabrication technology, device structure and material, physics and technology of thin-film transistors; and modeling and implementation of integrated micro-systems. Publications: https://scholar.google.com/citations?hl=en&tzom=-480&user=KGXAyxYAAAAJ.
Moderator: Kai Wang, Sun Yat-Sen University