TBSI 2019 Retreat Conference
Date: July 15-17, 2019
Tsinghua Shenzhen International Graduate School, University Town, Nanshan District, Shenzhen·China
The Tsinghua-Berkeley Shenzhen Institute (TBSI) 2019 Retreat Conference will be held in Tsinghua Shenzhen International Graduate School, University Town, Shenzhen, July 15-17. This Conference will facilitate in-depth technical discussions and networking opportunities between TBSI faculty, students, invited world-class experts and registered attendees.
It features 2 plenary sessions and 7 parallel workshops featuring advanced research themes， which are all open to the external participants, including material science, environmental science, transportation systems, learning theory, 3D optical imaging, data science and precision medicine. Hope these workshops will create a stimulating environment for open and in-depth technical discussions for everybody from academia and industry.
One of the major research directions in TBSI center 1 is to develop innovative materials and devices with essential industrial applications. In this proposed workshop, we will specifically focus on materials related to energy and information technologies, which are the two of the most active research fronts in modern science. Through discussions with the leading experts in the field, we will demonstrate how we study and discover new materials with exceptional electrical, optical, thermal, and mechanical properties. We will show how these materials are implemented in technologies such as energy conversion (e.g., photovoltaics, thermoelectric), energy storage (e.g., batteries, supercapacitor), transistor, photodetector, and light modulation etc. The significant advances in these fields will provide viable solutions to the energy problem in the modern society and boost the information exchange, thus eventually shape the future of our world.
Environmental Challenges and Sustainable Development in the Guangdong-Hong Kong-Macau Greater Bay Area
The Guangdong-Hong Kong-Macau Greater Bay Area is one of the most rapid and well developed regions in the world. However, the pressure from the fast population increment as well as the old style of urbanization and industrialization in the past decades had posed threats to environmental sustainability and public health. To improve the quality of atmosphere, hydrosphere, biosphere, and anthroposphere and propose better management in the food-water-energy nexus are the major challenges that we need to provide interdisciplinary solutions.
Through this workshop, we would like to provide interdisciplinary solutions with a solid scientific foundation, not only the scientific and engineering approach but also the management, to solve the environmental challenges in the Guangdong-Hong Kong-Macau Bay Area.
Our workshop will cover recent research advances in power, energy, and transportation systems, especially on their intersections. It includes the following three sessions:
(i) “Power & Transportation Networks”, is related with electric power vehicles, including both EV with human drivers and autonomous EV, for inter- and intra- city level mobility services.
(ii) “Energy Internet”, is related with integrated system composed of energy in forms of heat, water, electricity, etc. It could include system modeling, planning, control, fault detection, market participation, etc.
(iii) “Innovations in Electricity Markets”, is related with most recent innovations in electricity market, comparison analysis across markets in China, Australia, Europe, and the U.S. It also includes discussions of next step innovation and future vision of the electricity market.
The goal of TBSI-WOLT is to bring together the world's leading researchers in information theory, computer science, and related fields, as well as the next generation of outstanding young scholars, to explore deep unsolved problems about the learning theory. TBSI-WOLT aims to provide a relaxed and enthusiastic discussion environment for cutting edge research problems, in which the multi-discipline collaborations are also encouraged.
Three-dimensional (3D) optical ranging, imaging and sensing are crucial enabling capabilities for a wide range of applications, including facial ID in smart phones and augmented and virtual reality. Future applications include autonomous vehicles, robotics, medical instrumentation, manufacturing 4.0, medicine, microscopy and metrology etc. The projected market is enormous. In this workshop, we would like bring experts from different technical areas related to 3D imaging together to brainstorm future systems and applications. The areas include photonic and optoelectronic components, novel algorithms, new systems and applications.
International Workshop on Data Science Research and Business Applications: This workshop is jointly organized and sponsored by TBSI and Hylink Digital Solutions. The Workshop aims to address key developments and fundamental issues in the field of data science and its innovative applications in various industries. In particular, the following topics will be included:1) Big-data analysis methodology; 2) Data-driven engineering; 3) Enterprise data; 4) Service and health big-data; 5) Big data applications; 6) Tensor Flow-like platform for data analytics; 7) Data mining with data security and user privacy.
Precision medicine is embracing personalized treatment for diseases at lower cost and side-effects but with the higher expectation for therapeutic efficacy. Engineering developments that aim at real impact in disease treatment need to draw on adequate understanding of the biological mechanisms that lead to disease and that determine the action and performance of medicines and therapies. This workshop will cover a broad range of the cutting edge developments in molecular engineering, cellular engineering, tissue engineering and materials engineering for the precision understanding and manipulation of human disease-related fundamental biology, disease diagnosis, modelling, personalized therapy and new drug discovery, etc.
Tsinghua-Berkeley Shenzhen Institute
University of California, Berkeley
Tsinghua-Berkeley Shenzhen Institute