Data Citizens: A Distinguished Lecture Series presents NIST’s Dr. Ram Sriram 4/19

Ram Sriram

Data Citizens: A Distinguished Lecture Series presents NIST’s Dr.…

Join us for another cutting-edge lecture as Ram D. Sriram, PhD, Chief of the Software and Systems Division at the National Institute of Standards and Technology’s (NIST) IT Lab, takes a look at the third wave of AI combining neural networks and knowledge structures and how it is impacting his health care research at NIST.

Data Citizens: A Distinguished Lecture Series is an ongoing course of in-depth talks by experts in the field of data science on a wide variety of topics including data visualization, big data, AI, and predictive analytics. The Data Citizens lecture series is co-sponsored by the Miami Clinical and Translational Science Institute (CTSI) and is free and open to the public.

Tuesday, April 19, 2022| 4:00-5:00 PM IN PERSON or via ZOOM

Richter Library, 3rd Floor Conference Room
1300 Memorial Drive, Room #343, Coral Gables, FL 33146
Map, Directions, and Parking Information

Register Now | Free

TALK TITLE:  ”Transforming Health Care Through Artificial Intelligence Revolutions”

Artificial Intelligence (AI) is concerned with the development of computer programs that emulate the intelligence of humans, i.e., AI is deeply concerned with the understanding of human problem-solving strategies and incorporating (or simulating) these strategies into computer programs. Since the 1950s, when the term AI was coined, there has been considerable progress in this area. The 1980s was dominated with the rise of knowledge-based systems, which is also called “the first wave.” Advancements in computer hardware facilitated multilayered neural networks, which led to significant improvements in machine learning for certain classes of problems in 2000s. This was the “second wave.” Now, we are witnessing the “third wave,” which will include a combination of neural networks and knowledge structures. In the talk, I will provide a brief overview of AI methods and discuss how these methods can be used to address problems in health care. AI Topics will include: the derivation-formation spectrum of problem solving, knowledge-based expert systems, neural networks and other machine learning techniques. I will also discuss several current projects at NIST, and will address some challenges for the future.

About Ram D. Sriram

Ram D. Sriram, PhD, is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology.

Before joining the Software and Systems Division, Dr. Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems.

Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory.

Dr. Sriram has co-authored or authored more than 275 publications, including several books, and was a founding co-editor of the International Journal for AI in Engineering.

Dr. Sriram has received several awards including:

Dr. Sriram is a Fellow of AAIA Asia Pacific Artificial Intelligence Association, AIBME American Institute for Medical and Biological Engineering, ASME American Society of Mechanical Engineers, AAAS, IEEE, INCOSE, SMA, and the Washington Academy of Sciences. He is a Distinguished Member (life) of ACM and Senior Member (life) of AAAI.

Dr. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.