Summit and Joint Conference Keynote Speakers

(New speakers will be added soon)

Lily Mei

Fremont Mayor

Mayor Lily Mei was sworn in December 2016 as Fremont’s first woman and minority mayor in Fremont’s 63 year history. She first was elected to the Fremont City Council in 2014.

Mayor Mei actively represents Fremont’s interest on critical infrastructure issues including transportation and housing. Currently, she serves on the Alameda County Transportation Commission as Chair for the I-680 Sunol Express Lane Joint Powers Authority, Vice Chair for the Goods Movement Planning Committee, and as a Member of the Planning, Policy and Legislation Committee.

In 2019, Mayor Mei was nominated to serve on the National League of Cities policy committees of Transportation & Infrastructure Services. Most recently she was appointed as Co-Chair of the NLC Transportation Technology subcommittee. She also serves on the League of California Cities’ Housing, Community and Economic Development policy committee as an East Bay representative

Mayor Mei was instrumental in initiating Fremont’s first Mobility Task Force, which successfully guided the development of the City’s Mobility Action Plan focused on addressing the need for comprehensive citywide traffic congestion planning, safety of all travel modes, emerging transportation trends, such as autonomous vehicles, and producing an action agenda checklist planning for Fremont’s future initiatives.

Mayor Mei is proud to be a contributor to the growing success of Fremont’s public education where she was elected twice as a School Board Trustee to the Fremont Unified School District serving from January 2008 to December 2014. Regionally for education, Mayor Mei served two terms as a Delegate Assembly member for Region 7 representing Alameda and Contra Costa counties school districts. Statewide for California Mayor Mei is a past President of the Asian Pacific Islander School Board Members Association (APISBMA).

Mayor Mei embraces diverse recreational and cultural programs serving as a volunteer and leader supporting local scouting and sports programs. She is a board member/advisor of Citizens for Better Community, Music for Minors II and South Bay Chinese Service Club. Mayor Mei also has been a dedicated supporter involved with community focused groups encouraging civic engagement such as the Silicon Valley Leadership Group – Minority Women Leadership Day/Education Summit and American Association of University Women.

Mayor Mei grew up in suburban Philadelphia, Pennsylvania where she earned a Bachelor of Science in Business from Drexel University. Her professional experience includes over 20 years in competitive analysis, product and channel management, supply chain practices and serving as a worldwide sales operations controller. Most recently she led a global high-technology trade association representing industry leaders to develop best practices to advance intellectual property protection.

Mayor Mei lives in Fremont with her husband, Peter, and their children, Katie and Calvin.

Vincenzo Piuri

IEEE Director-Elect and Past President of the IEEE Systems Council
IEEE Fellow and ACM Distinguished Scientist
Professor, University of Milan, Italy

Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy and Visiting Professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA.

His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and internet-of-things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters.

He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is IEEE Region 8 Director-elect (2021-22), will be IEEE Region 8 Director (2023-24), and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Systems Council, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.

He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of the IEEE Transactions on Cloud Computing and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access.

He received the IEEE Instrumentation and Measurement Society Technical Award (2002) and the IEEE TAB Hall of Honor (2019). He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; Galgotias University, India; Chandigarh University; and BIHER, India.

Topic: Artificial Intelligence to Write Applications and Manage Cloud/Fog/Edge Computing and IoT Infrastructures

Hong-Yuan Lee

“who can make his country great again”
Professor of National Taiwan University (1986 – present)
Minister of the Ministry of the Interior (2012 – 2014)
Minister of the Public Construction Commission (2011 – 2012)
Deputy Magistrate of Taipei County (2005 – 2009)
Director-General of Water Resources Department (1997 – 1998)

Dr. Hong-Yuan Lee obtained his B.S. from the Department of Hydraulic Engineering, National Cheng-Kung University (NCKU) in 1978 in Taiwan. Both his M.S. (1982) and Ph.D. (1984) were delivered by the department of civil and environmental engineering, The University of Iowa, U.S.A. He is currently a professor of the department of civil engineering, National Taiwan University. He is also the visiting professor of Wageningen University, UNESCO-IHE (The Netherlands), Nanjing Hydraulic Research Institute, Hohai University, and China Institute of Water Resources and Hydropower Research (China). During his academic period, Dr. Lee has advised 11 Ph.D. and 50 M.S. thesis since 1986 and published more than 100 academic papers in the field of hydraulic engineering and relevant fields. Moreover, he has won numerous prizes and honors regarding academic accomplishment and research projects, such as Research Project Award, Outstanding Contribution Award, and Outstanding Achievement Award.

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Dr. Lee was invited to be the consultant of the Water Resources Bureau of Taiwan Provincial Government from 1986 to 1997. He instructed the most important hydraulic projects, such as, Nan-Hua Reservoir, Chi-Chi common water intake project, Li-Yu-Tan Reservoir, and Kao-Ping-Hsi Weir. Typhoon Hurb, the most severe typhoon in recent Taiwan history, attacked Taiwan and caused a lot of casualties in 1996. Dr. Lee published his incisive viewpoint and analysis about the inappropriate hydraulic policy of Taiwan government. After that he was requested to conduct a comprehensive report on the country's water resources policy, strategy and organization by the governor of Taiwan Province, James Soong. All the water related agencies in the Taiwan government were then restructured and unified because of his contribution. He was also appointed as the Director-General of the Water Resources Department in Taiwan Provincial Government. That was a minister level position, and Dr. Lee was responsible for policy-making of all water sectors in the government. During his term in the Water Resources Department, the Taipei flood protection project which was the largest infrastructure project was completed under his guidance. The budget of this project was more than 6 billion US dollars, and Taipei City was then protected from the 200-year flood.

Dr. Lee conducted hydro-informatics concepts to develop the e-Government system based on his aforementioned experience. The Water Resources Agency is now the most efficient agency in the government due to his effort. Dr. Lee also advocates the sustainable concept and non-engineering method in watershed management. In order to promote these concepts, he established nonprofit organizations: The Foundation Dr. James Soong Taiwan-IHE Scientific and Technology Cooperation in 1998, the Foundation of China-Europe Dialogues & Exchange for Sustainable Development in 2002, and the Cleaner Production Foundation in 2005. Two of them are international foundations registered in the Netherlands. Since he raised those organizations, Dr. Lee offered his professional advice to various universities and government agencies of various countries. Moreover, he devoted himself to disaster mitigation, the national and regional planning, and water resource cycling issues for climate change.

Dr. Lee was invited to become the Deputy Magistrate of Taipei County in 2005. Taipei County is the largest administrative unit in Taiwan, and it includes ten cities, four urban townships, and fifteen rural townships. The total population of it is 3.8 million people and the annual budget is about 4 billion US dollars. There are two deputy magistrates of Taipei County. Dr. Lee was the most important role in proceeding the sustainable concept of the policy-making, and oversaw 16 departments of the county. He engaged in all Taipei County’s master plan, and communicated among several bureaus. One of the pilot projects, Chung-Kang Drainage Cannel reformation was initiated and accomplished by Dr. Lee. He organizes an integrated team from a diversity of bureaus and professional sectors to implement the project. This project was completed to improve water quality, to reduce flooding risks, to create a sustainable urban environment, to enhance good life quality, and eventually to rebuild the city landscaping. The budget was only 100 million US dollars; however, it could create a revenue of over 10 billion US dollars. Another pilot project was to promote the application of the constructed wetland to treat the wastewater in urban areas. The wetland could function as parks and treat the wastewater during normal flow conditions, but become the detention basin when flooding. Other than his specialties, Dr. Lee advocates himself to improve the living and educational quality of immigrants and their children. Many programs, including education, medical care, social security and job training, have been developed and significant results have been achieved.

Dr. Lee served as Minister of the Public Construction Commission (PCC) and Minister without Portfolio from April 2011 to February 2012. As the most popular commentator he engaged himself on difficult issues related to infrastructure planning and sustainable development for Taiwan. He promoted large-scale national land use planning and initiated many pilot projects in the field of water engineering.

The above foreseeing concepts for Taiwan present Dr. Lee’s capabilities to master the national scale projects. He was then announced as Minister of the Ministry of the Interior from February 2012 to 2014. He was in charge of the most important ministry in the central government. Dr. Lee worked on many programs, such as social welfare, local governance, immigration, police, disaster prevention and etc. Many important and innovative policy actions have been initiated by him. He developed the country’s disaster mitigation maps, the integration of national GIS data, holistic water management, and the national land-use planning. These results turned out to be the country’s foundation and Dr. Lee became the most trusted politician in Taiwan.

With his professional and working experience, Dr. Lee now advocates that the Sustainable Development, Non-engineering method, and Green Infrastructure are the proper approach to solve or mitigate the problems provoked by population growth and climate change. The essential value of sustainable development is to achieve social justice, environmental protection, and humanistic and economic growth in a balanced rhythm. Since the above statements, Dr. Lee is domestically and internationally invited as consultants in the fields of water resources, land-use planning, and master planning for undeveloped regions. Many cities and counties in Taiwan have announced Dr. Lee as their Chief Consultants. He will help these governments on flood prevention, waste water cycling, and etc. Even the US government consulted him related to hurricane-proofing programs in Houston and DC. He also helps Beijing City and Chengdu City with sustainable development programs and wastewater treatment programs. After a devastating flood happened in Bangkok, Dr. Lee is invited by Changwat Nonthaburi Province in Thailand to help them design flood prevention systems and initiate the smart water city program for urban areas. Dr. Lee is also invited as the national consultant for the water resource management, constructing the flood early warning system and the disaster mitigation center for the Vietnam government.

Topic: Resilience Smart City for Natural Disaster Risk Reduction and Climate Change

Wei-Tek Tsai

Ph.D., Professor, Digital Society&Blockchain Laboratory Director, Beihang University

Wei-Tek Tsai currently is a professor at Beihang University, as the Director of Digital Society & Blockchain Laboratory. He received S.B. in Computer Science & Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, and M.S. and Ph.D. in Computer Science, University of California at Berkeley, Berkeley, CA, USA. He has been a professor at University of Minnesota and Arizona State University before joining Beihang University. He has authored more than 600 papers and 8 books, H-index 64. He has led projects related to blockchain and digital currencies in the last 7 years. His articles on blockchains have more than 40M readerships.

Topic: Digital Economy: Digital Currencies, Arts, and Brands

Abstract
We will discuss several important digital economy directions: digital currencies, arts, and brands. We will present architecture issues, policy issues, as well as business strategies around these topics. Digital currencies will be used in metaverse environments and digital arts will be an important means to support digital brands. These are complex and interrelated issues that must be discussed in an integrated manner in the coming new digital economy.

Liang Min

Managing Director for the Bits and Watts Initiative, Precourt Institute for Energy, Stanford University

Dr. Liang Min is the Managing Director of the Bits & Watts Initiative at Stanford University. Bits & Watts is a Stanford initiative bringing together multi-disciplinary research teams to enable digital transformation for the 21st century electric grid. Prior to joining Stanford, Liang has worked at the Lawrence Livermore National Laboratory since 2011, as the founding group leader of the energy delivery group and associate program leader for the national lab’s cyber & infrastructure resilience program. He was the Research Director for Livermore’s CES-21 Electric Operations program and had previously worked at the Electric Power Research Institute (EPRI) as a senior project manager. Liang earned his Ph.D. in electrical engineering from Texas A&M University in 2007. He holds two U.S. patents in voltage stability assessment.

Topic: Bits & Watts

Jie Xu

Professor, Chair of Computing, University of Leeds
Director of the UK White Rose Grid e-Science Center

Jie Xu is Chair of Computing at the University of Leeds, Director of the UK White Rose Grid e-Science Centre, involving the three White Rose Universities of Leeds, Sheffield and York, and Head of the Distributed Systems and Services (DSS) Theme at Leeds. Xu has worked in the field of Distributed Computing Systems for over thirty-five years, engaging closely with industrial leaders such as Alibaba, BAE Systems, JLR, and Rolls-Royce. He received a PhD in Computing Science from the University of Newcastle upon Tyne, and was Professor of Distributed Systems at the University of Durham before joining Leeds in 2003.

Professor Xu is an executive member of UKCRC (UK Computing Research Committee) and an awarded Turing Fellow in AI and Data Science. He has served as an academic expert of governments and industries, including Singapore IDA, Lenovo, UK EPSRC Peer Review College, and UK DTI and EPSRC. He is currently an associate editor of ACM Computing Surveys and was an editor of IEEE Distributed Systems, acting as editor/guest editor for several international journals. He is a Steering Committee member for IEEE SRDS, IEEE ISORC, IEEE HASE, IEEE SOSE, and IEEE BigDataService etc, and has served as General Chair/PC Chair of numerous IEEE international conferences. Professor Xu has had over 300 academic publications, including papers in world-leading IEEE and ACM Transactions, received international research prizes (e.g. BCS/AT&T Brendan Murphy Prize), and led or co-led more than 20 research projects worth over £25M. He is the co-founder of two university's spin-outs that specialise in data analytics and AI software for maximising data centre performance and in co-simulation and digital twins.

Topic: Acceleration of Training Deep Neural Networks (DNNs) through Fine-Grained GPU Scheduling

Abstract
This talk reports our latest experience with speeding up pre-trained DNN models through fine-grained GPU parallelism.

There is a growing interest in training deep neural networks (DNNs) in a GPU Cloud environment. This is typically achieved by scheduling and running parallel training workers on multiple GPUs across computing nodes. However, the overheads of such a setup (e.g. due to synchronization, coordination, and communication) are often too high, leading to long training time and poor scalability. By collaborating with Alibaba Group, we have investigated the root causes of the problem and developed a new approach that is able to dynamically reduce the overheads of distributed training based on input DNN workloads and the underlying network infrastructure. Experiments performed on representative DNN workloads show that our new approach outperforms existing solutions, improving the training throughput and scalability by a large margin.

Sagnik Nandy

CTO & President of Technology, Okta

Sagnik Nandy is the President of Technology and Chief Technology Officer at Okta. He is responsible for leading engineering, business technology and strategic planning of product development activities.

Prior to Okta, he served as the Vice President of Engineering at Google where he oversaw several critical components of Google’s core advertising business, the backbone of the company’s growth and revenue. During his 15 years at Google, Sagnik also helped build Google’s measurement and analytics offerings and took several products from inception to becoming market leaders. He has extensive experience in Senior leadership positions and end-to-end technology development and design. He received a Ph.D. in Computer Science & Engineering from UCSD.

Topic: Opportunities and challenges in applying data & ML in identity and threat management

Abstract
Identity management solutions help manage user's rights and allows them to access any technology in a safe and compliant manner. Implementing such rights via access control methods are often tedious, error prone and subjective to threats from bad actors. We present how artificial intelligence can help monitor traffic, learn user behavior, and apply more granular access. We explain challenges in applying AI techniques and research directions which will further accelerate this field as a whole.

Jane Wu

Managing Director, BRI Capital Partners

Trained as a physicist, Ms. Wu has more than 30 years experience in marketing, sales, business development, venture investment, research/technology development in semiconductor and solar sector. As member of Corporate Executives, she helped 3 companies IPO in US, HK and China stock market. Before BRI Capital Partners, Jane served as Chief Strategy Officer at JYT technology, a silicon wafer equipment company. She successfully managed the corporate reformation and exit at Shanghai Stock Exchange in 2011. Before JYT, Jane was President of global Operation at Comtec Solar, a clean energy manufacture company, where her main responsibilities include formulating market penetration strategy, positioning and branding new products, improving operational efficiency and creating new business models with both upstream and downstream partners. The company successfully closed an IPO on HongKong stock exchange under the challenging economic environment in 2009.

Before joining Comtec Solar, Jane was General Partner of TD Growth Capital, a venture capital fund focusing in Cleantech sector. As a Managing Director, Jane helped portfolio company design strategic business plan, identify threats and exit methodology. Before TD Growth served as Corporate Officer, Executive Vice President of Business Development for JA Solar (NASD: JASO) and was responsible for forging global strategic alliances, establishing corporate marketing and supplier chain, directing technology development and licensing business. Prior to JASO, Ms.Wu served 12 years at Applied Materials, where she had various technical and managerial roles from technology development, field engineering support, business management and corporate strategy. Ms. Wu also worked 4 years at Rockwell Semiconductor on device process engineering for space wireless communication applications. In addition, Ms. Wu was an entrepreneur and co-founded CiWest Corporation which was acquired by a major semiconductor foundry.

• 30 years of operating, M&A IPO and Investment experience in the Semiconductor, spaceTech and cleantech sector
• Managing Director, BRI Capital Partners
• President, Comtec Solar System (HKSE:712)
• CSO,JYT Technology (601908.SH)
• CMO, JA Solar (NASD: JASO)
• Board Director, TDG (SSE: 600330)
• BG Head, New Business New Product AMAT (NASDAQ:AMAT)
• Technology Director, Rockwell Wireless Communications (NYSE: ROK)

Topic: Path to Zero Emission Community

Abstract
Now is the time to take credible action for net-zero commitments. Today, the Earth is already about 1.1°C warmer than it was in the late 1800s, and emissions continue to rise. It is well known that in order to avert the devastating disaster of the planet and preserve a livable environment, global temperature increase needs to be limited to 1.5°C. Therefore, the Paris Agreement called for emissions to be reduced by 45% by 2030 and reach net zero by 2050.

However, transitioning to a net-zero world is one of the greatest challenges humankinds has faced and it takes a great amount of effort in both vertical and horizontal partnership among industry sectors. Let me introduce some recent technological developments that can pave the way towards net zero emission. And how we plan to engage with the industry, government, academic and community developers who will be needed to make the net zero community concept a reality.

Qin Wang

Technical Lead at Electric Power Research Institute, Palo Alto, CA

Qin Wang received the bachelor’s degree from the Department of Electrical Engineering, Tsinghua University, Beijing, China, in 2015, and the master’s degree from the Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland, in 2018. He is currently pursuing the Ph.D. degree with ETH Zürich.,His research interests include weakly supervised learning and domain adaptation.

Topic: Grid Integration of Solar and Battery Storage in the Smart Communities

Taghi M. Khoshgoftaar

Ph.D., Chair Professor, Department of Electrical Engineering and Computer Science, Florida Atlantic University

Dr. Taghi M. Khoshgoftaar is Motorola Endowed Chair professor of the Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University and the Director of NSF Big Data Training and Research Laboratory. His research interests are in big data analytics, data mining and machine learning, health informatics and bioinformatics, social network mining, security analytics, fraud detection, and software engineering. He has published more than 850 refereed journal and conference papers in these areas. He was the conference chair of the IEEE International Conference on Machine Learning and Applications (ICMLA 2019 and ICMLA 2016). He is the Co-Editor-in Chief of the journal of Big Data.  He has served on organizing and technical program committees of various international conferences, symposia, and workshops. Also, he has served as North American Editor of the Software Quality Journal and was on the editorial boards of the journals Multimedia Tools and Applications, Knowledge and Information Systems, and Empirical Software Engineering and is on the editorial boards of the journals Software Quality, Software Engineering and Knowledge Engineering, and Social Network Analysis and Mining.

For my selected publications, please see my Google Scholar link below:
https://scholar.google.com/citations?user=-PgNSCAAAAAJ&hl=en

 

Topic: Imbalanced Big Data and Machine Learning Challenges

Abstract
Predictive modeling with class-imbalanced data has proven to be a challenging task. This problem is well studied, but the era of big data is producing extreme levels of imbalance that are increasingly difficult to model. In addition to the modeling challenges that are associated with these highly imbalanced data sets, we have found that performance evaluation also requires careful considerations. In this talk, we demonstrate how the popular area under the receiver operating characteristic curve can provide misleading results and recommend that any evaluation of imbalanced big data also includes the area under the precision-recall curve.

Jai Menon

Chief Scientist, Fungible, Inc.
IEEE Fellow and IEEE Wallace McDowell Award Winner
IBM Fellow Emeritus

Jai Menon (Jai) is currently the Chief Scientist at Fungible, a company he joined in 2019 after serving as Chief Technology Officer (CTO) for the combined Server, Storage and Networking businesses at first IBM and then later at Dell. He had several roles at IBM including Corporate VP of Technical Strategy and Vice-Chair of the IBM Academy of Technology. He was an IBM Fellow, IBM’s highest technical honor, and one of the early pioneers who helped create RAID technology. He also led the IBM team that created the industry’s first, and still one of the most successful, storage virtualization products. His team at IBM also built one of the fastest and earliest parallel file systems in the world. Jai left IBM In 2012, and joined Dell as VP and CTO for Dell Enterprise Solutions Group. In 2013, he became Head of Research and Chief Research Officer for Dell.

Jai earned a Doctorate from Ohio State University, holds 53 patents and has published 82 papers. Jai is an IEEE Fellow. He is a recipient of the IEEE Wallace McDowell Award and the IEEE Reynold B. Johnson Information Systems Award. He is a Distinguished Alumnus from both Indian Institute of Technology, Madras (from where he got his B.Tech in EE) and from Ohio State University (where he got his Ph.D in Computer Science). He is a member of the OSU Computer Science External Advisory Council. He is a contributing author to three books on database and storage systems.

Topic: Data processing Units (DPUs) will be Key to Building Next-Generation Data Centers

Abstract
More and more of the cores of general-purpose servers are being consumed by data-centric tasks such as networking, storage, security, and data analytics. General-purpose CPUs are ill-suited for these data-centric tasks which require the stateful processing of multiple high bandwidth streams of data. As networking and storage speeds continue to increase rapidly, the problem is only getting worse. This has led to the development of a new class of programmable processor called the DPU or data processing unit which are 10x faster at data-centric tasks than general-purpose CPUs. Such DPUs will coexist with CPUs and GPUs in modern data centers. In this talk, we will discuss the market dynamics driving the rise of Data processing Units. We discuss DPUs using the Fungible DPU as an example. We describe how DPUs are being used and the kind of differentiated products that can and are being built using DPUs. We conclude with a vision of a next-generation data center which will use CPUs, GPUs and DPUs.

Tom Nadeau

Vice President, Fellow and Chief Cloud Architect - Spirent Communications

Tom Nadeau is a Fellow and Vice President at Spirent Communications where he is The Chief Architect of Cloud. Tom works across Spirent’s products and business units. He is responsible for Spirent's Open Source strategy and approach, as well as working on new and emerging technologies. Tom has served on the Linux Foundation Edge Boards, TAC and Networking Technical Advisory Council (TAC) and Board and held similar roles in the Akraino, OPNFV and OpenDaylight projects. Tom is an Apache Software Foundation Committer where he was a committer on the AriaTosca project, and is co-Maintainer of The Public Yang Repository on GitHub.

Tom is a very well established engineer / engineering leader, he is an architect and industry visionary having worked in both startups and large company environments, within equipment vendors and service providers. He has attentively focused on the details of developing successful products. Strong communication skills have allowed him to participate and share his experiences and knowledge in public presentations, as well as internal communications.

Before joining Spirent, Tom was a Senior Technical Director at Red Hat. He also spent time at Brocade as Chief Architect of Open Source, Software Business Unit and worked as a Distinguished Engineer at Juniper Networks.

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Topic: The Telco Move to The Cloud

Abstract
In this talk, we will address the evolution of telco towards cloud-native configurations and deployments. Specifically we will discuss how this push towards cloud-native deployments and system architectures have motivated an evolution in server and SmartNIC architectures. These changes are being reflected in but not limited to, current 5G deployments which are using disaggregated, multi-vendor and cloud-native/container-native/virtualized deployments built on COGS hardware.

Sudeep Sarkar

Ph.D., Distinguished University Professor and Chair, Computer Science and Engineering
Co-Director, USF Institute for AI+X

Dr. Sudeep Sarkar is a Distinguished University Professor and Chair of Computer Science and Engineering. He has nearly 35 years of experience conducting and directing fundamental research in computer vision, predictive learning, biometrics, and artificial intelligence. His use-inspired fundamental contributions are in systems to recognize persons from the way they walk (gait biometrics), automated recognition of actions, activities, and events in video, economic activity from satellite images, and extracting precise medically relevant information from medical images.

He is a member of the Academy of Science, Engineering, and Medicine of Florida, and Fellows of AAAS, NAI, IEEE, IAPR, and AIMBE. He is a co-Editor-in-Chief of Pattern Recognition Letters, a top-10 journal in computer vision and pattern recognition. He was the President of the IEEE Biometrics Council. Dr. Sarkar is an outstanding educator, having won the Outstanding Undergraduate Teaching Award and the Teaching Incentive Program Award at USF. He has directed 22 Doctoral and 23 Master's students. The Florida Education Fund awarded him the William R. Jones Outstanding Mentor Award.

Topic: Measuring Economy from Space

Abstract
The COVID-19 outbreak forced governments worldwide to impose periodic lockdowns and quarantines to prevent virus transmission. As a result, there were disruptions in human and economic activities around the globe. During world events such as this, decision-makers need timely information to gain insight into economic activity and guide recovery efforts. Information sources such as cell phone mobility data, airline tracking information, social media information, etc., can provide this information. However, they have many limitations that hamper the process of integration, such as multiple providers, varying technologies, lack of infrastructure in some parts of the world, sovereignty restrictions, and language mismatches, to list a few. We hypothesize that disruptions of economic activity (e.g., lockdowns) impact social behaviors and leave signatures in satellite imagery (e.g., empty parking lots) that can be automatically detected and quantified. And unlike other data sources, remote sensing stands out for its global coverage, low cost, and versatility – it can integrate new indicators and locations with little effort – while eliminating collection and format conversion complications. It is a single source for a variety of indicators across geographical boundaries.

An interdisciplinary team from the University of South Florida (USF), the University of California, Berkeley, and Maxar developed a new artificial intelligence (AI) imagery analysis tool to derive insight into indicators of human activity to characterize the economic impact of lockdowns and reopening during the COVID-19 pandemic. Such indicators can provide insight into understanding patterns of activities such as shopping center parking lots, airports, medical facilities, schools, recreational places, and religious sites. In this talk, I will demonstrate this idea using two objects of interest – cars and airplanes as indicators of economic activity. I will share the underlying AI algorithms and show results on actual data. Our airplane detection solution won the Rapid Action Coronavirus Earth observation (RACE) upscaling challenge, sponsored by the European Space Agency and the European Commission, and now is integrated into the RACE dashboard, providing real-time information.