麻豆传媒

James Hendler is the Director of the Future of Computing Institute; Tetherless World Professor of Computer, Web and Cognitive Sciences; and Director of the RPI-IBM Artificial Intelligence Research Collaboration. 

Hendler is a data scientist with specific interests in open government and scientific data, data science for healthcare, AI and machine learning, semantic data integration, and the use of data in government. One of the originators of the Semantic Web, he has authored over 450 books, technical papers, and articles in the areas of Open Data, the Semantic Web, artificial intelligence, and data policy and governance. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the first computer scientist ever to have served on the Board of Reviewing editors for Science. In 2010, Hendler was selected as an 鈥淚nternet Web Expert鈥� by the US government and helped in the development and launch of the US data.gov open data website. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information, in 2017 a member of the Director鈥檚 Advisory Committee of the National Security Directorate of PNNL, and in 2021 became chair of the ACM鈥檚 global Technology Policy Council. Hendler is a Fellow of the US National Academy of Public Administration, the AAAI, AAAS, ACM, BCS and IEEE.

Dr. Mark Esposito is recognized internationally as a top global thought leader in matters relating to The Fourth Industrial Revolution, the changes and opportunities that technology will bring to industry.

Mark has held numerous senior positions at prestigious Institutes. He has been a member of the teaching faculty at Harvard University鈥檚 Division of Continuing Education where he has taught Economic Strategy and Competitiveness. He also has served as a Co-Leader at the Institutes Council for the Microeconomics of Competitiveness program (MOC) at Harvard Business School. 

Besides being a Professor at Thunderbird/ASU, Mark has been a Professor of Business & Economics at Hult International Business School, globally. 

He is an appointed Research Fellow in the Circular Economy Center, at the University of Cambridge's Judge Business School.

He is also a Fellow for the Mohammed Bin Rashid School of Government in Dubai.

Mark is the Co-Founder and Chief Learning Officer of Nexus Frontier Tech, an AI Studio, dedicated to the productions of AI solutions. 

He is a prolific author and his articles can be found on ResearchGate and his books on Amazon.

Mark serves as a global expert for the World Economic Forum.
He is the co-author of the best seller Understanding How the Future Unfolds: Using DRIVE to Harness the Power of Today's Megatrends. The framework contained therein was nominated for the CK Prahalad Breakthrough Idea Award by Thinkers50, the most prestigious award in business thought leadership.  His latest book, The AI Republic (2019) explores the nexus between humans and intelligent automation under the dome of the 4IR.

Mark holds a Ph.D. in Business and Economics from the International School of Management in Paris/ New York and an Executive Doctorate in Business Administration from Ecole des Ponts ParisTech in Paris. 

Areas of Expertise:
Fourth Industrial Revolution
Megatrends
Artificial Intelligence/Digital
Leading change
Competitiveness
Economic Strategy
Growth and Competitive Strategy

Languages of Instruction:
English
French
German
Italian
Spanish

Education
Executive Doctorate of Business Administration, Ecole des Ponts Paris Tech
PhD in Business and Economics, International School of Management, Paris/New York
B.A and M.A in Social Sciences, University of Turin, Italy

Adam Waytz is the Morris and Alice Kaplan Chair in Ethics and Decision Mangement and professor of Management and Organizations. His research uses methods from social psychology and cognitive neuroscience to study the causes and consequences of perceiving mental states in other agents and to investigate processes related to social influence, social connection, meaning-making, and ethics. Professor Waytz's research has been published in leading journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology, and Psychological Review. In recognition of his work, Professor Waytz received the 2008 and 2013 Theoretical Innovation Award from the Society for Personality and Social Psychology, the SAGE Foundation Young Scholar Award, and the International Social Cognition Network's Early Career Award. He was also a visiting scholar at the Russell Sage Foundation from 2018-2019. Professor Waytz received his BA in Psychology from Columbia University, his PhD in social psychology from the University of Chicago, and received a National Service Research Award from the National Institute of Health to complete a post-doctoral fellowship at Harvard University.

Professor Jonathan Rossiter is Head of SoftLab, the Soft Robotics Group in the Bristol Robotics Laboratory. He leads on the development of smart materials and highly flexible soft robots for applications ranging from human health and environmental protection to construction and smart clothing. His work includes major research projects on soft robotic implantable medical devices, power trousers, and printable, biodegradable and edible robots. His work on environmental protection and low-cost healthcare includes collaborations with India and Africa, tracking and removing pollutants in waterways and investigating low cost prosthetic interfaces. His core soft robotics technologies have been extended to investigate the state of pipes, ducts and roads. Professor Rossiter's background is in artificial intelligence, electrical engineering, computer science and engineering mathematics. He was awarded a Royal Society Fellowship to study robots in Japan and a EPSRC Research Fellowship. His current post is funded by a Royal Academy of Engineering Chair in Emerging Technologies award, and aims to make soft robotics ubiquitous. He has presented a Ted Talk on 'A Robot That Eats Pollution', which has had more than 1.3 million views, and has had significant global media interest in his work. Most prominently, his project on the use of 鈥榮mart trousers鈥� received widespread acclaim, for its approach to using artificial muscles to improve the lives of people with mobility problems.

Bruce Young is an Information Security Executive with 25 years of experience in corporate and public organizations. Bruce has designed and led programs including Information Security (CISO), leading Threat Management, Security Operations, Assessment, Vulnerability Analysis and Information Risk Management.

Bruce aligns with business management and considers how security initiatives can reduce risk and provide competitive advantage. Researches security vulnerability and compromise trends and develops strategies to combat emerging threats. Recognized as a change agent. Has proven problem solving, project management, and interpersonal skills. Effects cultural change through awareness programs and security advocacy.

Teaching & Research Interests:
Cybersecurity, research in cloud, artificial intelligence, and analytic computing security

Charles Clancy is senior vice president, general manager of MITRE Labs, and chief futurist. He is responsible for sparking innovative disruption, accelerating risk-taking and discovery, and delivering real-time technology capabilities and execution through the company鈥檚 laboratories, solution platforms, and MITRE Fellows program. He leads technical innovation to anticipate and meet the future demands of government sponsors and industry and academic partners.

Clancy is an internationally recognized expert on topics at the intersection of wireless, cybersecurity, and artificial intelligence. 

Before joining MITRE in 2019 as vice president for intelligence programs, Clancy served as the Bradley Distinguished Professor in Cybersecurity at Virginia Tech and executive director at the Hume Center for National Security and Technology. There, he led Virginia Tech鈥檚 research and experiential learning programs in defense and intelligence.

He started his career at the National Security Agency, filling a variety of research, engineering, and operations roles, with a focus on wireless communications. He has co-authored more than 250 patents and academic publications, as well as six books. He co-founded several venture-backed security startup companies that apply commercial innovation to national security challenges.

Clancy is an IEEE Fellow and sits on the AFCEA International Board of Directors鈥� Executive Committee, the AFCEA Intelligence Committee, the Intelligence and National Security Alliance Advisory Committee, the Systems Engineering Research Center Advisory Board, the Alliance for Telecommunications Industry Solutions Next G Alliance, and the Center for New American Security Task Force on Artificial Intelligence and National Security. He also serves on advisory boards at Howard University, Norfolk State University, North Carolina A&T State University, and Virginia Tech. In 2021, WashingtonExec magazine named Clancy one of the nation鈥檚 Top Climate Executives to Watch.

Clancy holds a bachelor鈥檚 degree in computer engineering from the Rose-Hulman Institute of Technology, a master鈥檚 degree in electrical engineering from the University of Illinois at Urbana-Champaign, and a doctorate in computer science from the University of Maryland, College Park.

Chenyang Lu is Director, Cyber-Physical Systems Laboratory (CPSL) at the McKelvey School of Engineering, Washington University in St. Louis. He uses innovations in artificial intelligence and Internet of Things to transform health care and cyber-physical systems. He is using FitBit technology to help improve outcomes for both medical professionals and patients, alike. 

Lu's work is highly influential; He is the recipient of a 2022 Test of Time Award from the ACM Conference on Embedded Networked Sensor Systems (SenSys), the flagship conference on the Internet of Things (IoT). This award recognizes papers that are at least 10 years old and have had a longstanding impact on the field.

Lu is also the current Editor-in-Chief of ACM Transactions on Cyber-Physical Systems. He is a fellow both of ACM and IEEE.

I am an Associate Professor of Innovation & Technology Management. My research focuses on the intersection of Innovation Management and Data Science, with a particular emphasis on Science, Technology & Innovation (STI) intelligence, technology foresight, and technology roadmapping. I have also conducted research on policy development and assessment of emerging technologies such as blockchain, AI, and nanotechnology. To support my work, I use a variety of research methods including text intelligence, natural language processing, machine learning, patent analysis, scientometrics, and social media analytics. My research is informed by theories and models such as diffusion of innovations, systems of innovation, and general purpose technology. I published in the top journals of Innovation Management and Engineering Management fields. I worked as a project lead and consultant in various innovation management and text intelligence-related projects.

Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Edward J. Bloustein School of Planning and Public Policy at Rutgers University-New Brunswick. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel鈥檚 primary research covers human intelligence and artificial intelligences interaction and information philosophy. 

Dr. Samuel鈥檚 applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias.

Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College 鈥� City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

I am a Professor of Information Systems and hold the John T. Chambers Chair of Internet Systems in the Kelley School of Business at Indiana University. My research focuses on AI agents, fake news, cybersecurity, and team collaboration. A 2020 analysis listed me as one of the top 1% most influential researchers in the world, across all scientific disciplines. My teaching focuses on IT infrastructure and networks, and I have written four textbooks. I am a Past President of the Association for Information Systems, and also served as Vice President for Conferences. I was named a Fellow of the AIS in 2012, and received the LEO Award (our highest honor) in 2021.

Dr. Eman El-Sheikh is Associate Vice President at the University of West Florida. She leads the Center for Cybersecurity and is also a Professor of Computer Science at UWF. Eman has extensive expertise in cybersecurity education, research, and workforce development. She received several awards related to cybersecurity education and diversity and was recognized among the 2020 Women Leaders in Cybersecurity by Security Magazine. 

Dr. El-Sheikh leads several national and regional initiatives, including the National Cybersecurity Workforce Development Program and the Southeast Regional Hub for the National Centers of Academic Excellence in Cybersecurity. Eman received numerous grants to enhance cybersecurity education, workforce development, and capacity building. She launched the Cybersecurity for All庐 Program to enhance competencies and hands-on skills for evolving cybersecurity work roles. The program was recognized among the 2020 Innovations in Cybersecurity Education. 

Dr. El-Sheikh teaches and conducts research related to the development and evaluation of Artificial Intelligence and Machine Learning for cybersecurity. She has published several books, including most recently, Computer and Network Security Essentials by Springer Publishing, over 75 peer-reviewed articles and given over 100 invited talks and presentations. 

Eman also co-founded the Florida Women in Cybersecurity Affiliate. She holds an M.S. and Ph.D. in Computer Science from Michigan State University.

Artificial Intelligence, history of digital media, history of computing, media and the supernatural, social imaginaries of media and technology.

Dr Natale is an expert in the history of digital media and in technology's relationship with secular and spiritual beliefs. His current research examines the interactive and communicative dimension of AI, interrogating how humans perceive and react to communications with intelligence agents such as AI voice assistants.

Artificial Intelligence, Business, and Economics

Professor Holland has worked at the interface of business and technology for over 30 years with a range of international business organizations on technology implementation, evaluation of Information Technology (IT) projects, and digital strategy.

Professor Holland has published research articles in leading strategy, management, and technology journals, including Strategic Management Journal, Organization Science, Sloan Management Review, Communications of the ACM, Journal of Strategic Information Systems, Journal of Medical Internet Research, Decision Support Systems and the International Journal of Electronic Commerce.

New systems for text and image generation can support many types of behavior and goals that are only now being considered, said John Behrens, director of technology initiatives for Notre Dame鈥檚 College of Arts and Letters. 

鈥淲hile many of us may look at ChatGPT and think, 鈥榃ow, it can write a 500-word essay or help me be more efficient,鈥� others may look at it and say, 鈥業鈥檓 really shy and this can help me learn how to write or discuss topics with my friends in new ways,鈥欌�� he said.

Although there are many clear benefits to society, we unfortunately do not yet know when they work well enough to use appropriately and how people should interact with them, Behrens noted.

鈥淔or example, is it appropriate for a young person to interact with a chatbot if the software is so human-sounding that the young person becomes emotionally attached and vulnerable?鈥� he asked. 鈥淭he fundamental issue is that the technology and its applications are evolving faster than those in the social sciences, the humanities and the arts can keep up.鈥�

The first step in addressing the many emerging concerns is educational, said Behrens, a former vice president of AI development for Pearson

鈥淎rtificial intelligence is a type of software, and the more people treat it that way 鈥� rather than as some robotic being 鈥� the better off we will be,鈥� he said. 鈥淏ut we need to support education at all levels to get there. The questions society is facing because of AI are not only ethical but involve all the liberal arts: What are the economic impacts? What are the psychological impacts? What questions does this human-like fluency in language raise for issues of philosophy and theology? 

鈥淣otre Dame has a unique opportunity to bring to bear the full range of the liberal arts to help society tackle these issues.鈥�

Qihang Lin, associate professor of business analytics at the University of Iowa’s Tippie College of Business, studies artificial intelligence and discrimination with a National Science Foundation grant.
Based on his research, he believes an independent third-party organization must be created to regulate AI systems specifically to ensure decisions made by the algorithms are fair and don’t discriminate against disadvantaged groups.
He said that without safeguards in place, algorithms can easily become discriminatory if the people who are designing and programming them are not careful.
Lin says the regulatory organization could be a government agency, in a similar way that the U.S. Department of Agriculture holds food producers to standards that ensure our food is safe to eat. Or it could be an industry group, similar to the way ISO certification is awarded to businesses that meet certain management or operational standards by an independent third party. In fact, he said there already are ISO standards that apply to AI for things like security, but none of them pertain to discrimination.
The body, whether a government agency or industry group, would consult with AI researchers, legal experts, and domain experts to develop and standardize a procedure for assessing the fairness of a business’ AI systems. Laws and policies would be put in place that require AI systems to be certified as fair and unbiased before deployment.
Lin’s proposed new body would have the authority to audit the data-driven decision-making systems used by businesses, governments, hospitals, and other organizations to ensure they are fair, transparent and trustworthy.
He believes such a certification system would add credibility to AI products and reduce public concern that decisions made with algorithms are being done so unfairly. It would also help businesses by reducing the likelihood that their decisions are biased and in violation of state or federal discrimination laws. 
Regulations and standards would also promote the applications of AI, and eventually increase both the efficiency and fairness of our society.
 

Dr.鈥疪atna Saripalli, PhD in artificial intelligence and machine learning, is the chief data officer of the . With over 20 years of technology leadership experience shipping enterprise data platforms and products, Saripalli leads EMSL's high-performance computing and data platform infrastructures. She works closely with platform and software engineers, data architects, computer scientists, and cybersecurity engineers to develop and deliver EMSL's overall digital infrastructure vision and strategy.  
As a technology leader and software engineer, she has industry experience in conceiving, implementing, and managing artificial intelligence, machine learning, data engineering, and analytics products and platforms. Before rejoining Pacific Northwest National Laboratory (PNNL), she served as the vice president of technology at Berkeley Lights, in charge of developing computational methods for large datasets such as gene expression, metabolomics, and proteomics. Before that, she was a senior global director of data science at GE HealthCare for three years, developing world-class artificial intelligence products to revolutionize health care and improve clinical outcomes. She won the GE HealthCare Key Innovator award twice and has contributed to several patents and publications. She served at Microsoft for 11 years in various lead roles, helping ship Bing AdCenter, Office365, and Windows Data Science and Engineering products. Before joining Microsoft, she was a research scientist at PNNL for six years, contributing to global research projects pivotal to genomics and life sciences. 

Research Interests


Scalable, efficient deep reinforcement learning methods for health care and life sciences鈥� 
Artificial intelligence/machine learning model compression methods鈥� 
High-performance computing and distributed big data management platforms 


Education


MBA, University of California  
PhD in artificial intelligence and machine learning, Colorado State University 
MS in biomedical informatics, Stanford University


Patents


Michael D. Grafham, Kent D. Mitchell, Pei Li, and Venkata Ratnam Saripalli. Attribute Collection and Tenant Selection for Onboarding to a Workload. U.S. Patent US10387212B2, filed 15 June 2017, and issued 20 August 2019. . 
Venkata Ratna Saripalli, Gopal Avinash, Min Zhang, Ravi Soni, Jiahui Guan, Dibyajyoti PATI, and Zili Ma. Medical Machine Time-Series Event Data Processor. U.S. Patent US11404145B2, filed 27 November 2019, and issued 02 August 2022. . 


Publications

2021
Dong, X., T. Tan, M. Potter, Y.-C. Tsai, G. Kumar, and V. R. Saripalli. 2021. "To raise or not to raise: The autonomous learning rate question."鈥痑rXiv preprint arXiv:2106.08767. . 
Dong, X., M. Potter, G. Kumar, Y.-C. Tsai, and V. R. Saripalli. 2021. "Automating Augmentation Through Random Unidimensional Search."鈥痑rXiv preprint arXiv:2106.08756. . 
2020
Saripalli, V. R., D. Pati, M. Potter, G. Avinash, and C. W. Anderson. 2020. "Ai-assisted annotator using reinforcement learning."鈥疭.N. Computer Science鈥�1 (6): 1–8. . 
2019
Soni, R., J. Guan, G. Avinash, and V. R. Saripalli. 2019. "HMC: a hybrid reinforcement learning based model compression for healthcare applications." In鈥�2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). Vancouver, BC, Canada, August 22–26, 2019. . 
Pati, D., C. Favart, P. Bahl, V. Soni, Y.-C. Tsai, M. Potter, J. Guan, X. Dong, and V. R. Saripalli. 2019. "Impact of Inference Accelerators on hardware selection."鈥痑rXiv preprint arXiv:1910.03060. . 
Dong, X., J. Hong, H.-M. Chang, M. Potter, A. Chowdhury, P. Bahl, V. Soni, Y.-C. Tsai, R. Tamada, G. Kumar, C. Favart, V. R. Saripalli, G. Avinash. 2019. "FastEstimator: A Deep Learning Library for Fast Prototyping and Productization."鈥痑rXiv preprint arXiv:1910.04875. . 

Hala Nelson is a professor of mathematics at James Madison University and the author of Essential Math for AI (O'Reilly 2023), and AI Powered Digital Twins (Wiley 2026). She specializes in mathematical modeling, AI and data strategy, digital twins, and consults for the Departments of Defense, State, and emergency and infrastructure services in the public sector. Nelson’s expertise lies at the intersection of mathematical modeling, data, AI, Digital Twins, real world industrial and military applications, and AI and data strategy and governance..
Nelson grew up in Lebanon during its brutal civil war. She lost her hair at a very young age in a missile explosion. This event, and many that followed, shaped her interests in human behavior, the nature of intelligence and artificial intelligence (AI). Her dad taught her math, at home and in French, until she graduated high school. Her favorite quote from her dad about math is, “It is the one clean science”.
Nelson earned a bachelor's degree in mathematics at Beirut Arab University, a master's degree in mathematics at American University of Beirut and a doctorate in mathematics at New York University.

Frana's scholarship and teaching focuses on interdisciplinary approaches to analyzing and understanding artificial intelligence, health informatics, and digital technologies. He is editor and contributor to the Encyclopedia of Artificial Intelligence: The Past, Present, and Future of AI (2021) and advisory board member for the Museum of Science Fiction (MOSF) in Washington, DC. As director of science programming for the MOSF’s annual Escape Velocity convention, he is engaged in the organization’s mission to reinvigorate the interest of young people in science, technology, engineering, art, and math (STEAM) by producing and presenting the most compelling, exciting, educational, and entertaining science festival in the United States, using science fiction as the primary engine.
He received a doctorate in the history of technology, science & medicine from Iowa State University, and a bachelor's degree in history and economics from Wartburg College. He served for many years as software history project director for the Charles Babbage Institute for Computing, Information & Culture at the University of Minnesota-Twin Cities. He is past associate dean of the JMU Honors College and past director of undergraduate research in the Norbert O. Schedler Honors College at the University of Central Arkansas. 

Aivett Bilbao is a computational scientist in the . She conducts research on computational tools for mass spectrometry-based omics, working directly with experimental biologists and chemists in interdisciplinary teams. She has acquired extensive experience developing software for mass spectrometry using multiple programming languages and technologies. Projects include proteomics and and small molecule (e.g., metabolites and lipids) molecular characterization entailing both algorithm design and software implementation for data from different instruments (time-of-flight, quadrupole, and Fourier transform-based mass analyzers) and analytical separation techniques (liquid chromatography, ion mobility, solid phase extraction, and gas chromatography).
She earned her PhD from University of Geneva in Switzerland with special interest in data-independent acquisition mass spectrometry. Her bachelor’s degree is in computer engineering from Universidad de Oriente in Venezuela (cum laude) and her MSc studies were focused on machine learning algorithms and statistical methods at Telecom SudParis in France.

, is the chief medical officer (CMO) and chief digital officer (CDO) at UC San Diego Health. This dual, complementary role provides leadership to medical staff, ensuring that standards and protocols are in place to provide the highest quality of care to patients. He also serves as an associate dean at the School of Medicine, overseeing and aligning our education and research missions within the clinical environment, and leading our journey to become a highly reliable, learning health system.
As CMO, Longhurst is responsible for maintaining excellence in clinical care, including regulatory, patient and clinician satisfaction, quality and safety, and medical affairs. He works alongside leaders at UC San Diego Health, the School of Medicine, and UC Health to improve care delivery and oversees UC San Diego Health’s reputation for delivering safe, innovative, patient-centered care.
Longhurst, MD, is a board-certified pediatrician who specializes in the care of newborns. As a newborn hospitalist, he meets with parents and their babies during their postpartum stay in the hospital, providing daily care to infants. This care includes newborn examinations, screening tests and performing procedures like frenotomy.
Longhurst is passionate about implementing innovative digital solutions that help improve the patient experience. As the CDO, he leads UC San Diego Health’s technology strategy, overseeing initiatives that advance the infrastructure across UC San Diego and the UC Health system. In addition, Longhurst leads the clinical activities of the academic medical center, working alongside clinical leaders to guide the planning of quality, safety, and performance excellence of programs.  He is also faculty in the Departments of Biomedical Informatics and Pediatrics in the UC San Diego School of Medicine, maintaining an active clinical practice as a newborn hospitalist and pursuing scholarship in care quality, patient safety, and health informatics.