Dean, College of Computing, Georgia Institute of Technology
Dr. Charles Isbell received his bachelor’s in Information and Computer Science from Georgia Tech, and his MS and PhD at MIT’s AI Lab. Upon graduation, he worked at AT&T Labs/Research until 2002, when he returned to Georgia Tech to join the faculty as an Assistant Professor. He has served many roles since returning and is now The John P. Imlay Jr. Dean of the College of Computing.
Charles’s research interests are varied but the unifying theme of his work has been using machine learning to build autonomous agents who engage directly with humans. His work has been featured in the popular press, congressional testimony, and in several technical collections.
In parallel, Charles has also pursued reform in computing education. He was a chief architect of Threads, Georgia Tech’s structuring principle for computing curricula. Charles was also an architect for Georgia Tech’s First-of-its’s-kind MOOC-supported MS in Computer Science. Both efforts have received international attention and been presented in the academic and popular press.
In all his roles, he has continued to focus on issues of broadening participation in computing and is the founding Executive Director for the Constellations Center for Equity in Computing. He is an AAAI Fellow and a Fellow of the ACM. Appropriately, his citation for ACM Fellow reads “for contributions to interactive machine learning; and for contributions to increasing access and diversity in computing”.
Kirk Borne leads an esteemed panel of guests drawn from industry, academia and government in a debate designed to spark a meaningful distillation of the ideas covered in his keynote and provoke probing questions from the audience.
Data Science is an interdisciplinary subject exploiting and researching methods and tools from statistics, multiple application domains, and computer science to process data, structured or unstructured, in order to gain meaningful insights, knowledge and predictive analytics. Today, one can almost guarantee every scientist and engineer will consistently come into contact with data, no matter the […]