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Gordon Feller

Director, Cisco Internet Business Solutions Group (IBSG)

Gordon Feller is the Co-Founder of Meeting of the Minds, a global thought leadership network and knowledge-sharing platform focused on the future of sustainable cities, innovation and technology. He serves as a consultant to Cisco focused on Internet of Things and Talent. Gordon has worked in the area of emerging technology for three decades, most recently consulting on projects which harness the power of data (whether in the cloud, pulled via mobile networks from IoT-enabled end-points, or other advanced technologies) for solving complex problems. From 2010-2016, Feller was the Director of Urban Innovation at Cisco Systems headquarters in Silicon Valley where he served in an executive capacity within the company's programs focused on cities. Prior to joining Cisco, Feller was the CEO of Urban Age Institute, an international non-profit research and training organization which began inside the World Bank and spun off in 2001. For 30 years, Gordon has advised on economic and technology issues with leaders of multinational companies, cities, NGOs, foundations, and national governments. His clients have included The World Bank, UN, German and Canadian national governments, The Rockefeller Foundation, IBM, Reuters, Metropolis, United Cities & Local Governments, among others. Gordon advises leaders on harnessing the power of advanced technologies which can enable them to solve complex problems with a special focus on practical solutions where economics, technology, and sustainability intersect. Gordon's work has had broad and deep impacts. He published hundreds of articles including in CFO Magazine, Urban Land Magazine, TIME, Financial Times. He was appointed as an Abe Fellow by the Japan Foundation Center for Global Partnership. He was formerly the Editor of Urban Age Magazine. Columbia University awarded him a Bachelors and a Masters (cum laude). At Columbia he served as a Lehman Fellow, a Wallach Fellow and a Dean's Fellow. He serves as a Fellow at the Urban Sustainability Lab within the Smithsonian Institution's Wilson Center.

Topic: Connected Citizens Enable 21st Century Urban Systems: Cities Powered by Rich Data and Smarter People


Charles Mee

Senior Utility Manager, California Public Utility Manager

Charles Mee graduated from Tsinghua University with a bachelor’s degree in electrical engineering. He is registered as Professional Engineer in electrical engineering with the State of California, U.S.A. He has worked in electric power industry both in China and in the U.S. for more than 20 years. He gained knowledge and experiences in the area of electric power de-regulation, electric power market, smart grid and micro grid, renewable energy, distributed energy resources, demand side management, electric resource planning and project development, electricity rate design. From 2002 to 2010, working for California Department of Water Resources, Charles Mee worked on power transmission rate design, and managed electric power contracts. Most importantly, he participated in the California electric power market redesign and technology upgrade to mitigate the damage of the 2000-2001 energy crisis. From 2010 to present, working for California Public Utilities Commission, Charles Mee is in charge of reviewing power transmission and distribution plans and resource interconnection processes, transmission and distribution project construction proposals, distributed resource development strategies, energy efficiency incentives, demand response mechanisms, energy storage procurement goals, electric vehicles and charging station programs, resource portfolio procurement, electricity rate design, and power supply reliability and safety. In his spare time, Charles Mee actively volunteered fecr IEEE local chapter technical meetings in order to promote technology and engineering. He also encourages young p ofessionals and students to study electric power technologies to be ready for the upcoming electric power revolution as par of the smart city movement. He also helped the electric power deregulation in China by writing articles and by giving presentations to media and magazines, Chinese governmental entities, universities, and electric power companies.

Topic: Smart Grid

James Caldwell

President, E3 Regenesis Solutions

Dr. Caldwell, a founder of E3 Regenesis Solutions (E3RS), www.e3regenesis.com. He has a strong background in management, alliance building and organizational engineering in the USA and Asia. Dr. Caldwell brings more than 25 years of experience in business leadership, development and alliance building with Corporate, Governmental and Non-Governmental Organizations. He has over 10 years of university teaching experience in American, Comparative, Chinese and International Politics, Applied Political Science and Organizational Behavior. All of these disciplines deal with solving problems in business, government, and NGO collaboration -- in various historical and cultural contexts. He was a post-doctoral Fellow at The Institute for East Asian Studies at the University of California, Berkeley, and Assistant Director of the Center for East Asian Studies at Stanford University. He currently serves as a Director, US-China Green Energy Council, and Chairman of its Green Building and Eco-City Task forces. UCGEC organizes conferences between US and Chinese organizations to create collaborative projects for mutual benefit through sustainable growth. He is currently Consultant and System Integrator for Smart Buildings and Smart Cities at the Silicon Valley Chinese Technology & Business Association (SVCTBA). He is a member of the California Biomass Collaborative, and Sustainable San Mateo County, California, USA. He is fluent in Chinese and conversant in Spanish and Japanese. He is skilled in electronic communications in multiple languages. His work in multilingual electronic communications laid the foundation for his current work -- which is explaining, harmonizing and applying international, national and local standards in the fields of green energy, smart Grids, green building and smart, resilient city and community development in the face of increasing pollution, wasted resources and climate change.

Topic: Big Data 101


Shireen Santosham

Chief Innovation Officer for Mayor Sam Liccardo

Shireen Santosham is the Chief Innovation Officer for Mayor Sam Liccardo where she leads efforts to make San Jose the most innovative city in America by 2020. She has a passion for using technology to broaden opportunity and improve the lives of everyone in the city- especially for San Jose's youth. Previously, she worked at the GSMA where she was a Director in the Mobile for Development group that aimed to close the digital divide for base of the pyramid populations in the developing world through mobile technology and the internet. She has extensive experience working on innovative initiatives across sectors, including working at McKinsey & Company, with international NGOs, and as an impact investor at Vulcan Capital. Shireen holds a M.B.A. from Harvard Business School, an M.P.A. from Harvard Kennedy School, and a B.S. and B.A. from the University of Pennsylvania. She is a term member at the Council on Foreign Relations and a Global Governance Futures Fellow at the Robert Bosch Foundation.

Topic: Smart City Progress: The City of San Jose










Medhat Mahmoud

Senior Director, Technology & Strategy - IoT solutions, US Competence Center
HUAWEI TECHNOLOGIES U.S.A

Medhat Mahmoud is a Senior Telecommunication professional and IoT global industry expert. He has international profile and career-long records of leadership and product management with the telecommunication industry leaders. He has held various senior positions and managed international assignments in NA, MEA and APAC. He is a strategic and visionary leader with entrepreneurial mind-set, known for creativity and fresh thinking, transforming concepts into innovative products from definition to market. He is a recognized writer of IoT focused articles in industry specialized media.

Topic: IoT in the city, what technology to use?










Dharma Rajan

Lead Solution Architect, VMware, USA

Dharma Rajan is a leading expert in cloud technology working as Lead Solution Architect at VMware, USA. His areas of expertise span infrastructure virtualization, hybrid cloud, NFV, and cloud security. Prior to joining VMware, Dharma has worked at Ericsson, USA for over a decade, building 4G platform architectures, carrier grade networks, and network management systems. He has also worked at Cisco Systems, USA on enterprise architecture. He has patents, several technical publications and is an invited keynote speaker at major industry events and world conferences. He holds an MS in Computer Engineering from NCSU, USA and M.Tech in CAD from IIT-Kanpur, India.

Title : Industry Transformation to the Future with NFV, HPC and IoT

Abstract:

Two years ago Network Function Virtualization was at the design labs with concepts being derived. Today it is real and in production carrying live traffic in various mobile networks globally. Concepts like Micro data centers, service function chaining, network slicing are making networks more agile and intelligent. Content data networks, Smart city networks, high performance computing and Internet of Things are riding on top of the NFV wave and begin built on NFV architecture base. Next Gen 5G networks can be a fully virtualized ecosystem. Where and who are deploying NFV, what benefits are they seeing, what are the research areas of Interest, how is Industry research partnership on NFV, security, clean slate software defined infrastructure changing the minds, what are the challenges, potential research areas for academia is what you can hear from this keynote.


Ashok N. Srivastava

VP, Data and Artificial Intelligence Systems, Chief Data Scientist, Verizon

Ashok N. Srivastava, Ph.D. is the VP of Data and Artificial Intelligence Systems and the Chief Data Scientist at Verizon. His global team focuses on building new revenue-generating products and services powered by big data and artificial intelligence. He is a Consulting Professor at Stanford in the Electrical Engineering Department and is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. Ashok is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), and the American Institute of Aeronautics and Astronautics (AIAA). Formerly he was the Principal Scientist for Data Sciences at NASA Ames Research Center and led the System-Wide Safety and Assurance Technologies project at NASA which has a 5 year budget of nearly $150M. Ashok has significant experience in the internet, adtech, e-commerce, banking, finance, and securities areas. He has lead major engagements as a private consultant and as Senior Director at Blue Martini Software and Senior Consultant at IBM. He served as a Venture Advisor focusing on big-data analytics at Trident Capital, and was on the advisory board of several startups.

Title: The Evolution of Data Science

Abstract:

This talk will provide an overview of the technical and business aspects of building a big data platform with numerous vertical applications. We highlight the need for algorithms and data pipelines that can scale to massive data volumes and velocities. In addition we discuss the key approaches to building business cases around new products and considerations regarding the marketing and sales of data products.



Xiaodong He

Principal Researcher, Deep Learning Technology Center of Microsoft Research

Xiaodong He is a Principal Researcher in the Deep Learning Technology Center of Microsoft Research, Redmond, WA, USA. He is also an Affiliate Full Professor in the Department of Electrical Engineering at the University of Washington (Seattle). His research interests are mainly in artificial intelligence including deep learning, natural language processing, computer vision, speech, information retrieval, and knowledge representation. He has published more than 100 papers in these areas. He received several awards including the Outstanding Paper Award at ACL 2015. He has led the development of Machine Translation Systems that won the No. 1 Place in the 2008 NIST MT Eval and the 2011 IWSLT Eval, respectively. More recently, he and colleagues developed the MSR image captioning system that won the first prize, tied with Google, at the COCO Captioning Challenge 2015. He was interviewed by Communications of the ACM in January 2016. He is leading the image captioning effort now is part of Microsoft Cognitive Services and CaptionBot.ai. The work receives widely media coverage including Business Insider, Forbes, The Washington Post, CNN, BBC. He has held editorial positions on several IEEE Journals, served as an area chair for NAACL-HLT 2015, and served in the organizing committee/program committee of major speech and language processing conferences. He is an elected member of the IEEE SLTC for the term of 2015-2017. He is a senior member of IEEE and a member of ACL. He was the Chair of the IEEE Seattle Section in 2016.

Title: Deep Learning in Natural Language and Vision Intelligence

Abstract:

Deep learning, which exploits multiple levels of data representations that give rise to hierarchies of concept abstraction, has been the driving force in the recent resurgence of Artificial Intelligence (AI). In this talk, I will summarize rapid advances in cognitive AI applications, particularly including comprehension, reasoning, and generation across vision and natural language, as demonstrated in the Microsoft Vision/Image Captioning Cognitive Service and the recent AI Bot (e.g., http://CaptionBot.ai). Next, some key limitations of current deep learning technology are analyzed, including the lack of structure-to-structure transformation and learning for bridging symbolic and neural processing required to achieve human-like deep understanding of and reasoning in natural language with embedded common-sense knowledge. Finally, outlooks for future AI breakthrough are discussed by considering potential solutions to overcoming the current weaknesses of deep learning, and by examining the similarities and differences between existing deep learning-based AI systems and their neuroscientific/cognitive counterparts.


Wei-Tek Tsai

Beihang University, Beijing, China
Arizona State University, Tempe, Arizona, USA

Wei-Tek Tsai is currently a 1000-Talent Program Professor at Beihang University, Beijing, China. He earned his SB from MIT, Cambridge, MA, and M.S. and Ph.D. from University of California at Berkeley. He has worked as a professor at University of Minnesota and Arizona State University for 30 years before joining Beihag University. He also serves as a chief scientist for many organizations within China including Beijing Tiande Technologies. He has published widely with over 500 papers in software engineering, distributed systems, service-oriented computing, and computer networks.

Title: Blockchain-based Software Engineering, Databases, and Clouds

Abstract:

Blockchain (BC) starts as a data structure used to maintain the integrity of digital currency, but recently it has been used for a variety of applications including clearing and settlement, CBDC (Central Bank issued Digital Currency), IoT, and copyright protection. Our team has been developing and applying BCs using high-speed BCs in two domains, financial applications and copyright protection, and learned many lessons.
1) BC applications have unique architecture and design to satisfy functionality, performance, security such as privacy, legal, and scalability aspects of the system. We have used ABCs (Account BCs) and TBCs (Trading BCs) in our design to address some of these issues. The architecture and design techniques are different from traditional system design.
2) Currently, there is no database specifically designed for BCs, thus existing databases such as MySQL, LevelDB, and other database systems need to be used. As BC data are kept consistent via Byzantine General Protocols rather than database consistency protocols, these two kinds of protocols offer different mechanisms and tradeoffs. Many new issues are encountered in managing BC data, the problem becomes more complex when one needs to design bigdata applications with BCs.
3) It is necessary to have high-speed BCs with load balance. Each financial application has its unique requirements, such as high throughput, low delay, or both. Specifically, the media project initially targets at 10K tps, financial applications require even more. Even though the initial financial application requires less than 10K tps, however, each business transaction may be converted into 6 or more BC transactions due to book keeping and other activities. Thus 5K business tps may need 30K or more BC tps.
4) While many are offering BaaS (Blockchain-as-a-Service), yet a cloud that offers high-speed blockchains needs new design techniques. For example, how can a cloud system offer BC services with load balancing?
We have designed systems TDChain to meet these challenges recently.