Jim Spohrer
Director, IBM
Future of AI and Post-Pandemic Society: A Service Science Perspective

Jim Spohrer directs IBM’s open source Artificial Intelligence developer ecosystem effort. He led IBM Global University Programs, co-founded IBM Almaden Service Research, and was IBM CTO Venture Capital Group. After his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In the 1990’s, he attained Apple Computers’ Distinguished Engineer Scientist and Technologist role for next generation learning platforms. With over ninety publications and nine patents, he received the Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing service science.

Dr. Roberto Desimone
Executive Manager, BAE Systems
Global crisis response management using AI, ML and quantum technologies

Roberto has over 30 years expertise in exploiting emerging technologies for government/commercial clients, especially for military command decision-making and crisis response management tasks, with a PhD in machine learning (1989) from Edinburgh University. Since 2010, he has been leading a team of maverick scientists, engineers and consultants at BAE Systems Applied Intelligence, exploiting these emerging technologies for disruptive business applications. He is also working part-time as an Entrepreneur in Residence at the Quantum Engineering Technology Laboratory at Bristol University (funded by the Royal Society), and a Visiting Professor of quantum systems engineering at Loughborough University.

Dr. Rita Singh
Associate Research Professor, Carnegie Mellon University
The effect of Covid-19 infection on the bio-mechanics of voice production: a computational perspective

Dr. Rita Singh is an Associate Research Professor at the School of Computer Science at Carnegie Mellon University, USA. Her academic career spans over two decades of research on a wide range of topics in the areas of speech and audio processing, Her current work is focused on developing the science of profiling humans from their voice, a sub-area of Artificial Intelligence and Voice Forensics. The technology pioneered by her group has led to two world firsts: In September 2018, her team created the world’s first live voice-based human profiling system, demonstrated live at the World Economic Forum. In 2019 her group also created the world’s first instance of human voice – that of the artist Rembrandt – generated entirely based on evidence from facial images.

Dr. Xin Gao
Associate Professor, KAUST
A Rapid, Accurate and Machine-agnostic Segmentation and Quantification Method for CT-based COVID-19 Diagnosis

Dr. Xin Gao is an Associate Professor of Computer Science at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He is also the Associate Director of the Computational Bioscience Research Center, Deputy Director of Smart Health Initiative, and the lead of the Structural and Functional Bioinformatics Group at KAUST. Dr. Gao’s research group works on building computational models, developing machine learning techniques, and designing efficient and effective algorithms to tackle key open problems along the path from biological sequence analysis, to 3D structure determination, to function annotation, to understanding and controlling molecular behaviors in complex biological networks, and, recently, to biomedicine and healthcare. He has published more than 200 papers in the fields of bioinformatics and machine learning. He is the associate editor of Genomics, Proteomics & Bioinformatics, BMC Bioinformatics, and Quantitative Biology, Journal of Bioinformatics and Computational Biology.,

Abhinav Agrawal
Co-Founder & CEO, Rocket
Covid19’s impact on technology work practices and recruiting

Rocket (www.getrocket.com) is an AI enabled recruiting company funded by top VCs. Rocket pairs machine learning with human recruiters to help companies hire top talent. Previously Abhinav was VP @ SurveyMonkey, Co-founder & CEO @Renzu (acquired by SurveyMonkey), VP of Product @ Zynga, PM @ Amazon EC2, and Engagement Manager @ McKinsey & Company. Abhinav has an MBA from Harvard Business School (Baker Scholar) and BSE in Electrical Engineering from Princeton (Summa cum Laude).

Dr. Yasumichi Aiyama
Research Associate Professor, University of Tsukuba
Robot Remote Operation/Teaching with VR TeleWork System

Yasumichi Aiyama received PhD in Engineering in 1995 from the University of Tokyo. From 1995 to 1999, he was a research associate in the University of Tokyo. Since 1999, he was a lecturer, an associate professor and currently he is a professor in Faculty of Engineering, Information and Systems, University of Tsukuba. His research interests
are in dexterous robot manipulation and advanced industrial robot. He is a member of the Industrial Robotics Competition Committee, the World Robot Summit. He is a member of IEEE Robotics and Automation Society and a fellow of RSJ (the Robotics Society of Japan).

Dr. Kentaro Watanabe
Senior Researcher, AIST
Augmented teleworking for sustainable work

Dr. Kentaro Watanabe is a senior researcher at Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology (AIST). He is specialized in design research (esp. engineering design and service design) and service engineering. His research interest includes service system design, human augmentation, digitalization in service sectors and servitization of manufacturing. He also serves as an expert in ISO TC 159 (Ergonomics) and 324 (Sharing Economy), and as a board member of Society for Serviceology (Japanese academic society for service research). Website LinkedIn

Nathan Collins
Chief Strategy Officer, SRI International
Combining automation and artificial intelligence for rapid discovery of diagnostics and therapeutics in respond to COVID-19

Nathan Collins is responsible for the discovery and translation of strategic research and development programs at Stanford Research Institute’s (SRI) Biosciences Division into advanced platforms that have societal and commercial impact. He is currently leading SRI’s SynFini™ program combining AI guided data interpretation and decision making with fully automated research to streamline discovery and development of high impact products such as drugs and pharmaceutical diagnostics. He has a built a growing pipeline of several cutting-edge technologies in SRI Biosciences that are innovating drug discovery, and has led drug programs in cancer, infectious disease, CNS and immunology.

Marissa Fisher
Senior Software Engineer, Broad Institute
From the Basement to the Cloud: Developing a Covid-19 Testing Pipeline

With a background in biomedical research and software engineering, Marissa joined the Broad Institute in 2019. When the pandemic struck the northeast in March, the Broad made a quick pivot to provide much-needed testing for hospitals and care facilities around New England. With this, there was a need for informatics support to store patient information safely and securely, while also processing test results at scale and delivering those results back to patients. Marissa led the design and implementation of the informatics for the Broad’s testing pipeline, which has since evolved to process more than 70,000 Covid-19 tests per day.

Dr. Kentaro Tomii
Computational Biologist, AIST
Structure Prediction and Ligand-Binding Prediction for Analysis of Structure-Unknown Proteins and Unknown Pockets in Proteins of SARS-CoV-2

Kentaro Tomii, Ph.D. is a computational biologist working in the field of protein science and genomics. He works at National Institute of Advanced Industrial Science and Technology (AIST) as a leader of Intelligent Bioinformatics Research Team of Artificial Intelligence Research Center (AIRC). He also serves as a visiting professor at University of Tokyo, Yokohama City University, and Nara Institute of Science and Technology. He completed his doctorate in biological sciences from Kyoto University in 1998. He has developed computational methods and databases for data analysis of DNA/RNA/protein sequences and structures

Junzhou Huang
Associate Professor, Tencent
Early triage of critically ill COVID-19 patients using Deep Learning

Junzhou Huang is an associate professor in Computer Science department at the University of Texas at Arlington. Currently he is on leave from UT Arlington and directs the machine learning and AI healthcare center in Tencent AI Lab. He received the Ph.D. degree in Computer Science at Rutgers University. He is developing novel machine learning methods and deploying them for big medical data analytics and computational drug discovery. His work won several Best Paper Awards in top conferences on medical image computing and big biomedical data.

Kazuo Yano
Fellow, Hitachi
Computation for Happiness of People

Kazuo Yano is a Fellow, Hitachi, and CEO, Happiness Planet. He is known for the pioneering works in the world-first room-temperature single-electron memories. He has pioneered the measurement and analysis of social big data and have succeeded quantifying the happiness from physical motion. He has founded Happiness Planet. in 2020. He has applied over 350 patents and his papers are cited by over 2500 papers. His book, “The Invisible Hand of Data,” is cited as one of top-10 business books in Japan. He received 2020 IEEE Frederik Phillips Award and other international awards. He is a Fellow of the IEEE.

Dr. Nobuo Kawaguchi
Professor, Nagoya University
Autonomous Mobile Robot System for Human Machine Harmonization using Harmoware

NOBUO KAWAGUCHI received the Ph.D. in computer science from Nagoya University in 1997. Since 2014, he has been a Professor with the Institutes of Innovation for Future Society, Nagoya University. He founded a NPO called Lisra (Location Information Service Research Agency) for promoting location system research in 2012. He is one of the founders of the autonomous vehicle startup, TierIV Inc, and served a board member since 2015. His research interests are in the areas of human activity recognition, smart city/society systems, and ubiquitous information systems.

Dr. Lu Tang
Associate Professor, Texas A&M University
Using Social Media During Emerging Infectious Diseases

Dr. Lu Tang is an Associate Professor of Health Communication at Department of Communication, Texas A&M University. She conducts research on health and social media from a variety of approaches, such as network analysis, machine learning, and traditional content analysis. Her recent studies examine topics such emerging infectious diseases and vaccines on Twitter, YouTube, and Sina Weibo. Her research has been published in leading journals such as Journal of Health Communication, Health Communication, and Journal of Medical Internet Research.

Dr. Jianxi Luo
Professor, Singapore Universuty of Technology and Design
COVID-19 Pandemic Forecasting: Uncertainty Challenges and Predictive Monitoring

Professor Jianxi Luo is Director of Data-Driven Innovation Lab at Singapore University of Technology & Design (SUTD). He holds a PhD in Engineering Systems and MS in Technology Policy from MIT, and MS and BE in Engineering from Tsinghua University. His research fuses design science, system science and data science to develop artificial intelligence for innovative decision making. He has over one hundred publications and a dozen international academic awards. He serves on the editorial boards of IEEE Transactions on Engineering Management, Design Science Journal, and Research in Engineering Design. He was the chair of INFORMS TIMES Section.

Logan Thrasher Collins
Lead Scientist, Conduit Computing
Simulation of SARS-CoV-2 envelope assembly to help develop treatments for COVID-19

Logan Thrasher Collins is the lead scientist at Conduit Computing and the principal investigator on an active project under the COVID-19 High-Performance Computing Consortium. He is also directing a project at Conduit on a new method of diagnosing respiratory infection. Logan started doing scientific research when he was in high school and has ever since been working in the areas of synthetic biology, infectious disease, connectomics, and nanotechnology. He was a speaker at TEDxMileHigh and a recipient of the Dudley R. Herschbach SIYSS award. Logan applies his interdisciplinary skills and collaborative leadership to help build a bright future.

Dr. David Romero
Senior Research Scientist, Tecnológico de Monterrey
Evolution of the Operator 4.0 Vision: Pre-, During-, and Post-COVID-19 Pandemic

Professor Dr. David Romero is a Senior Research Scientist and Scientific Project Manager at the Center for Innovation in Design and Technology of the Tecnológico de Monterrey University in Mexico, as well as National Academia Representative and Coach for the Regional Secretariat of Intelligent Manufacturing Systems (IMS) – Mexico. His research interests include: Circular Manufacturing, Service Engineering, Cyber-Physical Systems & Human Systems, Advanced Production Management Systems, Green Virtual Enterprises, and Technology and Engineering Management. He is a member of the Society of Collaborative Networks, the IFAC TC5.3 on Enterprise Integration and Networking, the IFIP WG5.7 on Advances in Production Management Systems, the IFIP WG5.12 on Architectures for Enterprise Integration, the IEEE Technology and Engineering Management Society and the IEEE Internet of Things Community.

Dr. Takafumi Terasawa
Associate Professor, Okayama University
Possibility of highly precise educational big-data collected by controlling the timing of occurrence of learning/testing events

Ph.D. in Psychology, Tsukuba University, Japan (1994). Assistant Professor at Tsukuba University (-1997). Lecturer, Associate Professor, and Professor at Okayama University (1997-). The main theme of presenter’s research is to construct the theory of human cognition (AI). In the theorizing process, it was found that the effects of slight encounters experienced several months ago continue to remain (Terasawa, 1997). This led to the invention of the Microstep scheduling method, which enables the measurement of the effect of large data of each event that occurred during long-term, continuous, and daily learning activities. In addition, systems that can collect a large amount of longitudinal data controlled by time dimension conditions were built, and individual unconscious improvement in performance was observed.

Dr. Peter Ylén
Principal Scientist, VTT
Rebooting cities after crisis and preventing future risks with the help of data, foresight and systems thinking – Case COVID

Dr. Peter Ylén is Principal Scientist and Team leader of Smart City Impact Assessment team at VTT in Espoo, Finland. He is the product owner of VTT CityTune® solution used widely in impact assessment and solving complex challenges in city context. Recent applications include energy optimization, sustainable traffic policies, managing youth social exclusion and mental health challenges, improving quality and productivity in construction, determining leverage points for regional attractiveness, developing regional circular economy and planning future hospital. Previously he has worked as a professor for industrial automation at Vaasa University and research director for a market research company.