The Display Week Seminars provide lectures on diverse topics related to information display.

 

  • Learn the current state of the art in the hottest display technologies
  • Fast paced, covering recent advances in approximately 90 minutes
  • 16 different seminars to choose from in three tracks across multiple topics

  • 2023 Seminar Chair: Arokia Nathan
    Shin-Tson Wu 
  • 2023 Deputy Seminar Chair: George Zhaojun Liu

    Shin-Tson Wu

 

Track 1:

AR/VR/MR/XR Technologies and User Experience

 

Time: 8:30-10:00 am

 

Room: 408A

 

Shin-Tson Wu

SE-1: Human-Machine Interface Technologies in the Metaverse Era

Kai Wang

Professor

Sun-Yat-Sen University

 

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

Track 1:

AR/VR/MR/XR Technologies and User Experience

 

Time: 10:20-11:50 am


Room: 408A
 

 

Shin-Tson Wu

SE-4: AR/VR Light Engines: Present Status and Future Challenges

Shin-Tson Wu

Professor
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.

Moderator: Rashmi Rao, Philips Healthcare

Track 1:

AR/VR/MR/XR Technologies and User Experience

 

Time: 12:50-2:20 pm 

 

Room: 408A

 

 

 

 

Kuan-Ting Chen

SE-7: Flexible Hybrid Electronics Toward Cyber-Physical Interactive Systems

Tsung-Ching Huang


SID Member

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

Track 1:

AR/VR/MR/XR Technologies and User Experience

 

Time: 2:40-4:10 pm

 

Room: 408A

 

 

Fu-Ming (Fleming) Chuang

SE-10: Display Glass Innovations for Backlights

Xiang-Dong Mi
 

Senior Research Associate

Corning, Inc.

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. 

Moderator: Ian Underwood, University of Edinburgh

Track 1:

AR/VR/MR/XR Technologies and User Experience

 

Time: 4:30-6:00 pm

 

Room: 408A

 

 

 

Hiroyasu Ujike

SE-13: Design Challenge of Various Optical Architectures for AR/VR HMDs 

Huajun Peng
 

CEO

NED Optics

 

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

Track 2:

Display Technologies

 

Time: 8:30-10:00 am

 

Room: 408B

 

 

 

Shin-Tson Wu

SE-2: Thin-Film Transistor Modeling

John F. Wager

 Professor Emeritus

School of EECS, Oregon State University 

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.

Moderator: Arokia Nathan, Darwin College, Cambridge University

Track 2:

Display Technologies and Applications 

 

Time: 10:20-11:50 am

 

Room: 408B

Shin-Tson Wu

SE-5: Thin-Film Transistor Technologies for Advanced Displays and Beyond-Display Applications

Xiaojun Guo

Professor

Shanghai Jiao Tong University

 

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

Track 2:

Display Technologies and Applications 

 

Time: 12:50-2:20 pm

 

Room: 408B

 

 

Tsuyoshi Sekitani

SE-8: Emerging Designs for Organic Infrared Photodetectors 

Tse Nga Tina Ng

Professor

 

University of California San Diego  

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

Track 2:

Display Technologies and Applications 

 

Time: 2:40 – 4:10 pm

 

Room: 408B

 

Zhaojun (George) Liu

SE-11: Polycrystalline-Oxide TFTs in Comparison to Amorphous-Oxide Semiconductors for Display Applications

Jin Jang

Professor 

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

Track 2:

Display Technologies and Applications 

 

Time: 4:30-6:00 pm

 

Room: 408B

 

Yifan (Evan) Peng

SE-14: Quantum-Dot Patterning for Display Applications

 

Xiao Wei Sun
 

Chair Professor

Southern University of Science and Technology

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.

Moderator: Neetu Chopra, Apple

 

Track 2:

Display Technologies and Applications

 

Time: 8:30 – 10:00 am

 

Room: 403B

 

 

Peter Palomaki

 

SE-16: From Quantum Dots and Nanowires to RGB-Emitting Micro- and NanoLEDs 

 

Lars Samuelson
 

Professor, Lund University

Chair Professor, SUSTech

Progress in different fields of display technologies is often enabled by advancements in crystal growth and improved properties of semiconductor materials in their role as active emissive materials. In this seminar, I will give a survey of break-through steps in nano-materials, with examples from epitaxial heterostructures to quantum dot and nanowire technologies. I will then focus on nanoscale materials technologies with potential for current and future microLEDs and nanoLEDs, to enable direct RGB emission based on the GaN/InGaN materials system.

Lars Samuelson has been a professor at Lund University since 1988 and, since 2021, a chair professor at Southern University of Science and Technology as well as dean of the Institute of Nanoscience and Applications at SUSTech.  His research is focused on nanoscale materials physics, with a special focus on epitaxial growth, optical properties, and potential applications in opto-electronics. He also serves as chief scientist to high-tech companies such as Glo AB and Hexagem AB. He is a member of the Royal Swedish Academy of Sciences (Physics) and of the Royal Swedish Academy of Engineering Sciences and was awarded the Einstein Professorship by the Chinese Academy of Sciences. Samuelson is the author of well over 700 articles (h-index 90, Web-of-Science, listed in the top 1% highly cited researchers by Web-of-Science), and has given  more than 300 plenary/invited talks at international conferences and workshops. 

 

Moderator: Neetu Chopra

 

Track 3:

Machine Learning and AI

 

Time: 8:30 – 10:00 am

 

Room: 403A

 

 

Peter Palomaki

 

SE-3: Force Touch Technologies and Applications for Interactive Displays 

 

Shuo Gao 
 

 Associate Professor 

Beihang University

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

Track 3:

Machine Learning and AI

 

Time: 10:20 – 11:50 am

 

Room: 403A

 

Timo Kunkel637826100133814440

SE-6: AI for Displays, and Displays for AI

Guangtao Zhai 
 

Professor

Shanghai Jiao Tong University

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

Track 3:

Machine Learning and AI

 

Time: 12:50 – 2:20 pm

 

Room: 403A

 

Jang Hyuk Kwon637826058357165940

SE-9: Artificial Intelligence and Smart Wearables for Movements, Interactions, Metaverse, and Health

Peyman Servati

CEO 

Texavie Technologies

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

Track 3:

Machine Learning and AI

 

Time: 2:40 – 4:10 pm

 

Room: 403A

 

Jin Jang

SE-12: An Enabling Metal-Oxide Thin-Film Transistor Technology for Smart Sensor Construction and 3D Monolithic Integration

Man Wong

Professor, Department of Electronic and Computer Engineering

The Hong Kong University of Science and Technology 

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

Track 3:

Machine Learning and AI

 

Time: 4:30 – 6:00 pm

 

Room: 403A

 

Björn Lüssem

SE-15: Pushing AI to the Edge -- AI Acceleration in Edge Computing

 

Terry Ye 
 

 Professor, Department of Electrical and Electronic Engineering

Southern University of Science and Technology

Complementary to cloud computing, edge computing brings critical benefits to future AI applications, especially for IoT deployments that demand swift response times, heightened security, and cost-effectiveness. By processing data locally, edge computing not only alleviates congestion to the centralized cloud, it also enables close-loop and real-time local operations. This is of great importance for applications that require immediate decision-making, such as self-driving cars or industrial automation. In this presentation, we showcase how AI computation can be accelerated at various implementation levels on edge platforms. This includes tailor-made instruction sets and optimized memory accesses, as well as in-sensor analog computing designs that directly process the sensors' signals through analog circuits. The presentation aims to provide solutions to implement neural networks on edge platforms with optimized hardware overhead and resource usage. 

 

Terry Ye is a professor in the department of electrical and electronics engineering at Southern University of Science and Technology (SUSTech), and by courtesy, an adjunct professor for the department of electrical and computer engineering at Carnegie Mellon University. Ye is active in academic research as well as industrial applications in many engineering areas that include IC designs, neuromorphic computing ICs, internet of things (IOT), and wireless sensor devices. He also serves as a research fellow at the University of Hong Kong and as a chief scientist at IOT Lab at Hong Kong University of Science and Technology. Beside his academic activities, Ye has held various engineering and consulting roles at China Academy of Science, Impinj, Synopsys, Analog Devices, Magma Design Automation, Silicon Architects, and many other Silicon Valley companies. He received his PhD in electrical engineering from Stanford University and a BS in electronic engineering from Tsinghua University.

 

Moderator: Xiaojun Guo, Shanghai Jiao Tong University

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