Forum Chairman

Report Title 1: Design Methods and Key Technologies for Information Physical Fusion Edge Computing Nodes

Report Summary: Edge computing provides solutions to meet the low overhead and real-time requirements of innovative applications such as intelligent production, networked collaboration, personalized customization, and predictive maintenance. This report will address the current lack of models and architectures, programming methods, operating environments, hardware platforms, testing platforms, and industry solutions for edge computing, and present information physical fusion edge computing models, architectures, and computing methods; resource management and task scheduling methods for information physical fusion edge computing, software development system architecture, and function-composable software development environments and operating environments; and finally provide examples of information physical fusion edge computing nodes, edge computing testing and verification methods, and personalized customization and self-organizing production solutions in the automotive manufacturing industry.

Speaker Introduction: Zeng Peng, researcher at the Shenyang Institute of Automation, Chinese Academy of Sciences, Doctoral Supervisor, currently serves as the Director of the Key Laboratory of Networked Control Systems of the Academy of Sciences, Council Member of the Chinese Automation Society, and Chairman of the Edge Computing Committee. He was selected as a leading talent in technological innovation under the National “Ten Thousand Talents Plan” and a member of the Ministry of Science and Technology’s “Networked Control System Innovation Team.” His main research areas include industrial wireless, edge computing, and intelligent manufacturing technology. In recent years, he has undertaken more than 10 projects, including major national science and technology special projects, national key R&D programs, and leading special projects of the Chinese Academy of Sciences. He has published over 130 papers, authorized more than 50 domestic invention patents, and 10 international invention patents, formulated 2 national standards and 3 international standards, and has received 6 provincial and ministerial science and technology awards, including the First Prize for National Standard Innovation Contribution and the First Prize for Technological Invention in Liaoning Province.

Report Title 2: Several Key Technologies of Wireless Charging in the Internet of Things

Report Summary: The Internet of Things, as a key technology for extending information systems into the physical world, has been included in the national medium- and long-term science and technology development plan and has been widely applied in recent years. According to statistics, the number of IoT connected devices is expected to reach 26 billion by 2020. However, traditional IoT nodes are often powered by batteries, whose lifespan is limited by battery capacity, which is one of the main obstacles to IoT applications. Therefore, more and more research efforts are dedicated to solving this problem using wireless charging technology. The report will introduce several key technologies such as secure charging, directed charging, and connected charging; the technical difficulties lie in designing centralized and distributed approximation algorithms based on computational geometry, combinatorial optimization, and other theoretical tools.

Speaker Introduction: Dai Haipeng, PhD, Associate Professor in the Department of Computer Science and Technology at Nanjing University. He obtained his bachelor’s degree in biomedical engineering from Shanghai Jiao Tong University in 2007, a master’s degree in power electronics and power transmission from Shanghai Jiao Tong University in 2010, and a PhD in computer science and technology from Nanjing University in 2014. He has received honors such as the ACM China Rising Star Award (ranked first among two nationwide), Excellent Doctoral Dissertation from the Jiangsu Computer Society, and First Prize in the National College Student Internet of Things Innovation Competition and Best Mentor Award. His main research directions include the Internet of Things, mobile computing, and data mining. He has published and received over 110 papers (including 40 in CCF Class A), including top international conferences and journals such as ACM SIGMETRICS, ACM MobiHoc, ACM MobiSys, ACM UbiComp, IEEE INFOCOM, VLDB, IEEE ICDCS, ACM/IEEE TON, IEEE JSAC, and IEEE TPDS.

Report Title 3: StereoEngine: An FPGA-based Accelerator for Real-Time High-quality Stereo Estimation with Binary Neural Network

Report Summary: Stereo estimation is essential to many applications such as mobile autonomous robots, most of which require real-time response, high energy, and storage efficiency. Deep neural networks (DNNs) have shown to yield significant gains in improving accuracy. However, these DNN-based algorithms are challenging to deploy on energy and resource-constrained devices due to the high computational complexities of DNNs. In this talk, we present StereoEngine, a fully pipelined end-to-end stereo vision accelerator that computes accurate dense depth in real-time and energy-efficient manner. The design of StereoEngine is a standalone DNN-based stereo vision system where all processing procedures are implemented on a hardware platform. Compared with software-based implementations on high-end and embedded Nvidia GPUs, StereoEngine achieves up to 3X, 13X, and 50X speedups, as well as up to 211X, 58X, and 73X energy efficiency improvements, respectively. Furthermore, StereoEngine achieves leading accuracy when compared to state-of-the-art hardware implementations on the challenging KITTI dataset.

Speaker Introduction: Chen Gang, Associate Professor and Doctoral Supervisor at the School of Data Science and Computer at Sun Yat-sen University, part of the Hundred Talents Program at Sun Yat-sen University, obtained his PhD from the Department of Computer Science at Technical University of Munich. He obtained his bachelor’s degree in biomedical engineering and master’s degree in control science and engineering from Xi’an Jiaotong University in 2008 and 2011, respectively. He served as Associate Professor at Northeastern University from 2016 to 2018. His research directions include embedded systems, intelligent perception, and robotics chips. He has received the Best Paper Nomination Award at CODES+ISSS 2020 and the Best Paper Award at IEEE ESTIMedia 2013. He has guided students to win the First Prize in the Northern Division and National Division of the National College Student Robotics Competition in 2017, and the Second Prize and Special Prize in the National Division of the National College Student Robotics Competition in 2018, and the First Prize in the South China Division of the 15th China Graduate Electronic Design Competition in 2020, as well as the Best Work Award from Xilinx.

Report Title 4: Secure IoT Operating System MS-RTOS

Report Summary: MS-RTOS (Micro Safe RTOS) is a new operating system designed by Yihui Information to meet the future needs of the Internet of Things, innovatively supporting multi-process and dynamic loading on MCU, allowing for separate development and independent upgrades of applications and systems; it supports kernel space memory protection (applications access the kernel through syscall), providing a very high level of security for the kernel. MS-RTOS offers a rich set of open-source functional modules and a powerful integrated development environment (IDE), enabling developers to quickly design secure IoT devices. Currently, MS-RTOS has been applied in power metering devices and train communication devices, among others, where reliability and security requirements are stringent.

Speaker Introduction: Xu Guizhou, with a bachelor’s and master’s degree from South China University of Technology, currently serves as the Deputy General Manager of Beijing Yihui Information Technology Co., Ltd. He has participated in the development of kernel components such as SyixOS operating system architecture support, audio subsystem, and network subsystem, and is responsible for the development of aerospace products in the company. Currently, he is responsible for the commercial satellite project