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Trends and Opportunities in the Connected World

Date: 
Friday, November 14, 2014 - 13:00 - 19:00
Venue: 
Wilson Sonsini Goodrich & Rosati (WSGR)
Venue: 
650 Page Mill Rd, Palo Alto, CA 94304, USA

Conference Abstract

The topics of discussion at this conference will start with the global view of the trends and opportunities across Pacific Ocean. Then, the state of the art of the technology intended for the connected world will be presented covering from the devices at the edge of the network such as the sensors, the system application of the sensors deployed at the edge of the network, the big data analytics from the prediction modeling to business intelligence solutions, from the framework for the security in the connected world to the software defined network (SDN) controller in volume deployment. In summary, the speakers of this conference will share their insight into the connected world from one end (at the edge of the network) to the other end (in the heart of the cloud).

Conference Registration

Date: Friday, November 14, 2014 - 13:00 - 19:00
Venue: Wilson Sonsini Goodrich & Rosati (WSGR)
           650 Page Mill Rd, Palo Alto, CA 94304, USA

online registration before Nov. 14:  $10/person
online registration for student: $5/person (show student ID on-site)
on-site registration: $20/person

Registration Link: http://www.ucgef.org/events/registrationform?id=1220

Conference Agenda   

Registration: starts at 1 pm   

Opening Speech: 1:30 pm – 1:45 pm, 15 min talk
Title: Trends and Opportunities across Pacific Ocean
Speaker: Professor Robert Wu, Chairman and CEO, US China Green energy Council

Sponsor’s Notes: 1:45 pm – 1:50 pm, 5 min talk

Track No. 1: The Making of the Connected World, 1:50 pm - 1:55 pm
Session Chair: Dr. Richard Xu, Founder and CTO, Persistent Efficiency Inc.; also a Postdoctoral Researcher at Berkeley Energy and Climate Institute, UC Berkeley

Talk No. 1.1: 1:55 pm – 2:35 pm, 30 min talk, 10 min Q&A
Title: MEMS Electric Energy and Atmospheric Particulate Monitoring
Speaker: Professor Dr. Richard M. White, EECS Department, UC Berkeley

Talk No. 1.2: 2:40 pm – 3:20 pm, 30 min talk, 10 min Q&A
Title: Mass-producing Energy Efficiency in Buildings through Stick-on Metering Platforms
Speaker: Dr. Richard Xu, Founder and CTO, Persistent Efficiency Inc.; also a Postdoctoral Researcher at Berkeley Energy and Climate Institute, UC Berkeley

Coffee Break: 3:20 pm – 3:50 pm   

Track No. 2: Data, Data, and More Data, What could be done with all that Data?  3:50 pm - 3:55 pm
Session Chair: Dr. Shiying Hao, Visiting Scholar, Translational Medicine Laboratory, Stanford University

Talk No. 2.1: 3:55 pm – 4:35 pm, 30 min talk, 10 min Q&A
Title: Prediction Modeling in the Eyes of a Statistician
Speaker: Professor Dr. Lu Tian, Department of Health Research and Policy, Stanford University

Talk No. 2.2: 4:40 pm – 5:20 pm, 30 min talk, 10 min Q&A
Title: Decoding Big Data with Business Intelligence solutions
Speaker: Dr. Bruce Ling, Principal Investigator, Translational Medicine Laboratory, Stanford University

Track No. 3: Enabling Technology for the Cloud, 5:20 pm - 5:25 pm
Session Chair: Dr. Michael Hsieh, VP of Green IT, US China Green Energy Council

Talk No. 3.1: 5:25 pm – 6:05 pm, 30 min talk, 10 min Q&A
Title: SDN (Software Defined Network) and Network Design: Beyond Core Networking Legacy and into an Automated, Policy-Based Approach
Speaker: Mr. Amir Sharif, Business Development, Nuage Networks

Networking Reception: 6:05 pm - 6:50 pm

Conference Adjourn: 7:00 pm

Speaker's Abstract and Biography

Opening Speech: 1:30 pm - 1:45 pm, 15 min talk
Title: Trends and Opportunities across Pacific Ocean

Abstract

With rapid technology advances, the world is now thoroughly interconnected. Globalized manufacturing and worldwide transportation have dramatically accelerated the flow and consumption of energy which produces environmental impacts around the world.   The two largest economic production and energy consumption countries are U.S. and China.  Both have gradually realized the critical importance of global collaboration in starting a green revolution to sustain future economic growth and environmental quality.

China’s extraordinary economic growth comes with a price, impacting environment. Chinese Premier Li Keqiang declared “War on pollution”, beefing up environmental protection laws and investing heavily in clean energy.  State Grid Chairman Liu Zhenya delivered a keynote speech at the United Nation Climate Summit held in New York, on September 23 2014.  “Building a Global Energy Internet, promote green low-carbon development”.  Global Internet of Energy will be based on Strong Grid backbone, across borders and continents.  Its goal is to accelerate the use of clean energy to replace fossil energy, increase electricity use to meet energy needs. 

U.S. is the world’s largest economy and the second largest source of carbon emission in the world after China. There are some recent actions to combat climate change: President Obama declared Carbon Rule to accelerate the shift from coal to renewables and natural gas. Former Vice President Al Gore wrote “The Turning Point: New Hope for the Climate“   pointed out that it is time to accelerate the shift toward a low-carbon future.  Recent advances in the Internet, mobile computing, and Web applications have created a much more networked world.  It’ll reduce our environmental impact by encouraging conservation and efficient consumption; develop Internet-enabled energy efficiency and Internet-enabled sustainable products & services. All these development will greatly accelerate the construction of the Global Internet of Energy.

US China Green Energy Council (UCGEC), a nonprofit organization established 8 years ago, is a key element of this global collaboration, especially for promoting technical, business, educational, and government cooperation between US and China.   In this conference, we will focus on the exploration of the trends and opportunities provided by information technology not only as the main driving force of the inter-connected world, but also as the primary solution for increasing the efficiency of energy production and end-use systems to achieve the goal of the green revolution for a sustainable world, especially for U.S. and China.

Speaker: Professor Robert Wu, Chairman and CEO, US China Green energy Council

Robert Wu is Chairman and CEO of the US-China Green Energy Council; Co-Chairman and founding president of the Berkeley Chinese Alumni International Association, the Co-Chairman and founding president of the Fudan University Business Education Foundation and a director of The 1990 Institute. Mr. Wu is a veteran of the Computer and Semiconductor Industry in both the U.S. and China. He received his BSEE with highest honors from University of California, Berkeley in 1953 and his MSEE from Massachusetts Institute of Technology in 1954. He was a project manager in semiconductor development for the Transitron Semiconductor Corporation before returning to China in 1956.

In China, Mr. Wu became a member of the Chinese Academy of Science and played an active role in the early development of the Institute of Semiconductors, the Institute of Computing Technology, and the Institute of Microelectronics. He was a technical director in developing China's first transistor, the first transistorized mainframe and its first microcomputer with silicon IC. He was recognized as a founding member of China's computer and semiconductor industry.
Mr. Wu returned to US in 1978 and joined HP Labs. He facilitated the establishment of HP China, the first joint venture between the US and China. HP China grew to be one of the most successful joint ventures in China with revenue of more than $1 billion in 1999. Early in 1982, he supported immediate VLSI implementation on RISC architecture and became the project manager of HP's first RISC microprocessor. In 1985, he made the initial proposal of utilizing the vast amount of cost effective manpower resources in China and India, and became the program manager of HP International Contract Programming. Mr. Wu cofounded Silicon Magic Corporation in 1994, where he served as the Director of Human Resources, Planning, and China Business Development until 1999.

Talk No. 1.1: 1:55 pm - 2:35 pm, 30 min talk, 10 min Q&A
Title: MEMS Electric Energy and Atmospheric Particulate Monitoring   

Abstract

This talk concerns two different microfabricated wirelessly enabled sensors.  The first are sensors that can be used in the vicinity of energized conductors to measure currents and electric fields on conventional circuit breakers in buildings, or on overhead power distribution systems where they could both sense and also harvest energy that might be used to power widely distributed atmospheric sensors.  The second are small portable wirelessly enabled particulate matter monitors for measuring airborne pollution. 

Speaker: Professor Dr. Richard M. White, EECS Department, UC Berkeley

Richard M. White received the Ph.D. degree from Harvard University in Applied Physics and then conducted microwave device research at General Electric before joining the faculty of the University of California, Berkeley. He is a Founding Director of the Berkeley Sensor & Actuator Center (1986). He holds numerous U.S. patents, has co-authored reference books on Solar Cells (1983) and Acoustic Wave Sensors (1997), and a freshman text on electronics “Electrical Engineering Uncovered” (2001). In addition to the 2003 IEEE Rayleigh Award for seminal contributions to surface acoustic wave technology, White was elected a member of the National Academy of Engineering, is a Fellow of the IEEE and the American Association for the Advancement of Science, and is the recipient of many academic awards including a Guggenheim Fellowship (1968), IEEE Cledo Brunetti Award (1986), and U.C. Berkeley Chancellor's Professorship, and is a co-recipient of the Wolfson James Clerk Maxwell Award, awarded jointly by the Royal Society of Edinburgh and the IEEE (2013). His present research interests include wireless microsensors and energy scavenging devices for use in electric power systems, and portable sensors for measuring concentrations of airborne aerosols and particulates.

Talk No. 1.2: 2:40 pm – 3:20 pm, 30 min talk, 10 min Q&A
Title: Mass-producing Energy Efficiency in Buildings through Stick-on Metering Platforms

Abstract

Buildings account for nearly 40% of total US energy use and greenhouse gas emission. In this talk, I am going to cover existing challenges and opportunities for improving energy efficiency in buildings. Particularly, it will focus on how to leverage internet of things and advanced data analytics tools to provide scalable and low-cost monitoring-based commissioning services. A number of novel smart building sensing technologies, including tape-on electricity, gas and water meters, indoor gas sensors, and etc., will be introduced.

Speaker: Dr. Richard Xu, Founder and CTO, Persistent Efficiency Inc.;
also a Postdoctoral Researcher at Berkeley Energy and Climate Institute, UC Berkeley

Richard Xu is a postdoctoral researcher at Berkeley Energy and Climate Institute. He co-founded and serves as the CTO of Persistent Efficiency Inc., a startup that focuses on advanced energy monitoring platform and data analytic tools for energy efficiency in buildings. His technical expertise encompasses sensing technologies, electromechanical transducers, wireless sensor networks and non-intrusive energy monitoring. He holds a B.S. (Summa Cum Laude) in Mechanical Engineering from University of Michigan, Ann Arbor, and M.S. and Ph.D. in Mechanical Engineering from UC Berkeley. Richard believes that the future quality of life depends on a healthy, sustainable environment. Originally from China, he has advocated and participated in a number of clean energy campaigns in both U.S. and China. He sees himself in future as a cultural translator, who leads and inspires collaborations between U.S. and China in the area of environmental technologies.

Talk No. 2.1: 3:55 pm – 4:35 pm, 30 min talk, 10 min Q&A
Title: Prediction Modeling in the Eyes of a Statistician

Abstract

With the coming age of Big Data, how to accurately predict future outcome becomes center of many practical problems.  In this talk, I will provide an overview on the recent development in statistical prediction modelling. Firstly, I will introduce several statistical models including Cox’s proportional hazards and accelerated failure time regression for survival type of outcome, which may be subject to right censoring.  We will focus on how those regression models can be employed in practice to make prediction on the distribution of survival time from future subjects. Secondly, we will present a set of new methods for developing classifiers for predicting future binary outcome aiming for optimizing ROC-based criterion such as sensitivity and specificity. Lastly, we will also present de-convolution techniques developed for analyzing cell-specific gene expression data for recovering differences of interest from multiple sources.  With the advent of big data, we believe that the effective application of statistical learning approaches can be one of the cornerstones of digital transformation to drive business benefits.

Speaker: Professor Dr. Lu Tian, Department of Health Research and Policy, Stanford University

Lu Tian is an Associate Professor of the Department of Health Research and Policy at Stanford University. He received Sc.D. in Biostatistics from Harvard University. He has rich experience in conducting statistical methodological research, planning large epidemiological studies, running data management for randomized clinical trials and conducting applied data analysis. Dr. Lu Tian’s current research interest is in developing statistical methods in personalized medicine, causal inference, survival analysis and high throughput data analysis. The proposed future study requires comprehensive statistical input on dimension reduction and large scale statistical inferences.

Talk No. 2.2: 4:40 pm – 5:20 pm, 30 min talk, 10 min Q&A
Title: Decoding Big Data with Business Intelligence solutions

Abstract

We use disruptive information technology to transform healthcare delivery, by translating data into actionable insights for clinicians. For the past two years, we implemented large scale data platforms and applications in the US State of Maine.  This included integrating data stores from 475 disparate systems including 376 physician offices, 12 behavioral health facilities, 15 critical access hospitals, 37 federally qualified health centers (FQHC), 23 hospitals, and 12 long-term care facilities, supporting health management for over 1.3 million people:

  • Confronted with significant big data related obstacles (scale of the data, lack of standards, insufficient and inflexible integration of device, clinical, pharmaceutical, claims, accounting, and scheduling data, variable formats, and disconnected critical information), we innovated in the areas of unified data model, entity extraction, Hadoop leverage in the enterprise architecture, dashboard visualization, predictive models and natural language processing of unstructured clinical notes.
  • Our statistical learning approach overcomes the challenges of large variable numbers (> 200K), large class imbalance, and temporal patterns, validating accurate inferences about risk stratification for personalized medicine.  In addition, applying data from multiple sites to predictions at a single target site presents an opportunity for transfer learning.

We believe our approach in turning messy swamps of information into intuitively visualized maps, histograms and link charts can be further deployed to any other industry.

Speaker: Dr. Bruce Ling, Principal Investigator, Translational Medicine Laboratory, Stanford University

During the past nine years in the Stanford Translational Medicine Program, Dr. Bruce Ling has led numerous projects in this groundbreaking program designed to generate a broad array of potentially new diagnostic devices that clinicians will use for years to come. Through these efforts, the future will witness the development of better diagnostic and predictive tools that promise to deliver improved preventive and curative treatments in the years to come. Dr. Ling has proven “wet laboratory” capability as demonstrated by his having developed mass spectrometry based high throughput biomarker discovery platform and novel biosensor innovations to translate the discovery from the bench side to the bedside, with which the collaboration teams have been productive in the biomarker discoveries in various disease areas: cancer, woman pre-eclampsia, renal allograft dysfunction, systemic juvenile idiopathic arthritis, Kawasaki Disease, and necrotizing colitis. Every year between 2011 and 2014, Dr. Ling was awarded as the Stanford Spark Scholar for his translational efforts to develop novel diagnostics. In addition to the translational wet laboratory team, Dr. Ling has developed a multi-faceted team of computer science, statistics, and biomedicine staff members. Dr. Ling’s computational lab currently focuses on novel statistical learning algorithm innovation, large scale scientific computing and robust experimental design. Together with Dr. Andrew Shin, Dr. Ling has launched patient-centered outcome research collaboration with the LPCH CVICU to expand the evidence (key performance indicator, KPI) -based care to include high throughput predictive analytics together with a patient centered approach.  Drs. Shin and Dr. Ling were awarded as the first place in the 2013 Stanford Cardiovascular Institute clinical research retreat.

Talk No. 3.1: 5:25 pm – 6:05 pm, 30 min talk, 10 min Q&A
Title: SDN (Software Defined Network) and Network Design: Beyond Core Networking Legacy and into an Automated, Policy-Based Approach

Abstract

Software Defined Networking (SDN) has radically changed that way networks are designed.  This presentation will provide an overview of what SDN is and how it is unlocking innovation in the networking world.  The discussion will also analyze the “intense” debate between those who argue for an “intelligence” network core and those who argue of a simpler, more powerful, scalable, , and cost effective approach.  Finally, the talk will provide an overview of what a “Policy-base” approach to networking is, why it is relevant to emerging, large-scale cloud environments, and why it is essential for application cloud-based application developers.

Speaker: Mr. Amir Sharif, Business Development, Nuage Networks

Amir Sharif brings more than 15 years of experience to Nuage Networks. He is responsible for developing a Nuage Networks ecosystem with its partners to offer the best value possible to customers who want to have an efficient cloud implementation. Mr. Sharif has extensive experience in virtualization, networking technologies, and low latency storage. Prior to Nuage Networks, Mr. Sharif ran technical marketing and solutions engineering at Violin Memory and was the vice president of server virtualization infrastructure at Parallels. He was also a product manager at VMware, where he worked on ESX and the core platform, Cisco and Tasman Networks.

Mr. Sharif is a frequent public speaker and blogger.  He holds two US patents and an MBA from UC Berkeley.