Digital Twin Meets Digital Cousin: From Paradox to Paradoxical Paradigm?
Shoumen Palit Austin Datta, MIT Auto-ID Labs, Massachusetts Institute of Technology and MDPnP Lab and Cybersecurity Program, Massachusetts General Hospital, Harvard Medical School, United States
Innovative Uses of Drones for Logistics in Healthcare and Production
Alice Smith, Auburn University, United States
Keynote Lecture
Marco Cococcioni, University of Pisa, Italy
Digital Twin Meets Digital Cousin: From Paradox to Paradoxical Paradigm?
Shoumen Palit Austin Datta
MIT Auto-ID Labs, Massachusetts Institute of Technology and MDPnP Lab and Cybersecurity Program, Massachusetts General Hospital, Harvard Medical School
United States
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Brief Bio
Dr Shoumen Palit Austin Datta is a Senior Member of the MIT Auto-ID Labs, Research Affiliate at the Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT) (http://autoid.mit.edu/people-2) and Senior Scientist, Medical Device Interoperability Lab and Cybersecurity Program, Department of Anesthesiology, Massachusetts General Hospital, Harvard Medical School http://mdpnp.mgh.harvard.edu. He is also affiliated with Purdue University (Sensors for Humans) and the University of Florida (Agricultural & Biological Engineering). He is the Co-Founder & former Executive/ Research Director of the MIT Forum for Supply Chain Innovation (2001-2010) at the MIT School of Engineering. Former Member of the MIT Auto ID Center (1999-2003), MIT Data Center (2004-2006) & MIT Energy Initiative (2008-2009). As a Research Scientist in the Engineering Systems Division, MIT School of Engineering, he explored technology innovation, RFID, IoT, digital supply chain, data, analytics and decision systems. He taught & teaches Supply Chain, Strategy and Management at the MIT Sloan School of Management, Chalmers University (Sweden), ESSEC (France), KEDGE (France), Cambridge University (School of Engineering) and Harvard Medical School (Molecular Medicine, Biochemistry and Metabolism for first year MD students). He has offered MBA & executive education courses at MIT and other institutions in US, EU and APAC. He was the founding Senior Vice President for the Industrial Internet Consortium (IIC). He is interested in healthcare, digital economy and technology innovation for science as a service to society. The latter includes IoT as a design metaphor and the value of ubiquitous connectivity to catalyze economic growth and access to global public goods (FEWSH - food, energy, water, sanitation, healthcare). His interests include additive manufacturing, robotics, nano-bio sensor engineering systems. He has authored books, papers, articles related to evolution of IoT and the industrial internet (2003), intelligent software agents (2001), predictive analytics, supply chain management, sensors in public health (SARS-CoV-2), healthcare platforms, energy, digital transformation. He has served/serves as an advisor for start-ups, corporations and governments including US Dept of Defense, US Dept of Commerce, United Nations (UNDP), World Customs Organization (WCO), President’s Science and Technology Advisory Group (PSTAG) for the President of Taiwan (ROC), TEKES (Government of Finland), etc. He earned his BSc (Biochemistry, Physiology, Physics, Chemistry) from the Presidency College, University of Calcutta. He attended University of Pittsburgh & earned his PhD from Rutgers University School of Medicine in collaboration with Dept of Molecular Biology at Princeton University. He was briefly associated (tumor virus research) with Paris VI Université Pierre-et-Marie-Curie and Institut du Cancer et d'Immunogénétique, Villejuif (ICIG, Hôpital Paul Brousse). He was a Research Fellow in Medicine (Thyroid and Neuro-Endocrine Labs, Molecular Oncology) at MGH (Massachusetts General Hospital) and Instructor in Medicine at Harvard Medical School (HMS). He was a Research Associate at the Whitehead Institute at MIT and a founding member of the MIT Human Genome Project. He was a Research Scientist in Molecular Parasitology at University of California UCSF School of Medicine, San Francisco, California. Dr Datta has served the public sector to improve public education and technology as Special Assistant to the Mayor of the City and County of San Francisco, California; Science Education Partnership at UCSF School of Medicine; Berkeley Pledge initiative at the University of California, Berkeley and Chair of the National Task Force on Education, Economy, Workforce and Technology sponsored by Information Technology Association of America (ITAA), Dept of Commerce, US Dept of Labor & White House Council of Economic Advisers (Clinton). Currently he is an advisor to NIH funded research related to CoVID-19.
Abstract
Directly or indirectly, knowingly or unknowingly, in astronomical events or in infinitesimal instances, almost all tools, technologies and techniques (e.g., statistical, operations research [OR], mathematical) converge to catalyze our need to be data-informed, to make sense of data, before the value of the data perishes, and extract actionable information (e.g., process optimization using OR). At the core of almost any system with a popular “buzz” (digital twins, internet of things, cyberphysical systems, cloud, machine learning, smart cities, “big data”, “DL”, “AI”, “Industry X.O”) we commence with data to extract meaningful information of value. The semantics of “meaning” must be rooted in causal context as well as metrics and measurements. Value is inextricably related to “performance” depending on the context and actions (feed-back/feed-forward) which could rapidly become a highly complex decision process (e.g., explosion of state space when synthesizing/analyzing data from percepts, environment, actuators, and sensors, referred to as PEAS and is the superset of the OODA loop which is the cycle observe-orient-decide-act). The underlying glue that permeates the fabric of continuum between meaning and value is causality. Almost every “thing” (made of atoms) or processes or systems we dissect, deconstruct and reconstruct, is made significant when associated with data (bits). The continuum of meaning and value is in dynamic interaction with the continuum between atoms to bits. The key elements of this multi-string, multi-dimensional continuum are connectivity, data, analytics and context (ACDC). In this talk, we will discuss examples of this “electricity” which powers the engines of science, decision science, OR and most data-informed systems across a broad and diverse spectrum of verticals and applications.
Innovative Uses of Drones for Logistics in Healthcare and Production
Alice Smith
Auburn University
United States
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Brief Bio
Alice E. Smith is the Joe W. Forehand/Accenture Distinguished Professor of the Industrial and Systems Engineering Department at Auburn University, where she served as Department Chair from 1999-2011. She also has a joint appointment with the Department of Computer Science and Software Engineering. Previously, she was on the faculty of the Department of Industrial Engineering at the University of Pittsburgh from 1991-99, which she joined after industrial experience with Southwestern Bell Corporation. Dr. Smith has degrees from Rice University, Saint Louis University, and Missouri University of Science and Technology.
Dr. Smith’s research focus is analysis, modeling, and optimization of complex systems with emphasis on computation inspired by natural systems. She holds one U.S. patent and several international patents and has authored more than 200 publications which have garnered over 17,000 citations and an H Index of 52 (Google Scholar). She is the editor of Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics and Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics. Several of her papers are among the most highly cited in their respective journals including the most cited paper of Reliability Engineering & System Safety and the 3rd most cited paper of IEEE Transactions on Reliability. She won the E. L. Grant Best Paper Awards in 1999 and in 2006, and the William A. J. Golomski Best Paper Award in 2002. Dr. Smith is the Editor in Chief of INFORMS Journal on Computing and an Area Editor of Computers & Operations Research.
For accomplishments in research, education, and service she was named the Joe W. Forehand/Accenture Distinguished Professor in 2015. Previously, she was the H. Allen and Martha Reed Professor. In 2017, she received the inaugural Auburn University 100 Women Strong Leadership in Diversity Faculty Award. Dr. Smith was awarded the Wellington Award in 2016, the IIE Albert G. Holzman Distinguished Educator Award in 2012, and the INFORMS WORMS Award for the Advancement of Women in OR/MS in 2009. Dr. Smith was named the Philpott- WestPoint Stevens Professor in 2001, received the Senior Research Award of the College of Engineering at Auburn University in 2001, and the University of Pittsburgh School of Engineering Board of Visitors Faculty Award for Research and Scholarly Activity in 1996.
Dr. Smith is a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Institute for Operations Research and Management Science (INFORMS) and the Institute of Industrial and Systems Engineers (IISE), and a senior member of the Society of Women Engineers, a member of Tau Beta Pi, and a Registered Professional Engineer. She is a current IEEE Distinguished Lecturer and INFORMS Official Speaker. She has served as Chair of the Council of Industrial Engineering Academic Department Heads and as President of the INFORMS Association of Chairs of Operations Research Departments. She was a keynote speaker at the International INFORMS Conference (2019) and at the IEEE World Congress on Computational Intelligence (2018). She was named a 2020 Yellowhammer Women of Impact (20 women are honored each year in the State of Alabama https://alabamawomen.org/#2020) and was an INFORMS Diversity, Equity, and Inclusion Ambassador in 2021.
Abstract
This seminar discusses novel approaches for employing drones to accomplish logistical tasks in diverse environments. Drones, working in tandem with traditional transportation vehicles and with humans, offer environmentally friendly and cost-effective alternatives for moving small items such as medicines, electronic devices, and assembly parts. This talk will cover several research projects which involve a combination of mathematical modeling, computational optimization, simulation in virtual environments, and actual physical experimentation and trials. While using drones has challenges in terms of human interaction and practicality of operating in certain environments, they are more pragmatic than might be expected for some situations. One focus is on rural last mile healthcare supplies delivery where drones resupply trucks with newly available orders and prescriptions. Another focus is on assembly facilities where drones bring needed parts to works at their stations on the line. This latter setting is indoors where GPS cannot be used for drone positioning and guidance so alternative methods must be employed.
Keynote Lecture
Marco Cococcioni
University of Pisa
Italy
Brief Bio
Available soon.