Keynote Speakers


Dr. Carla E. Brodley
Professor and Dean,
College of Computer and Information Science,
Northeastern University, USA


Dr. Alan Edelman
Professor
MIT's Computer Science and AI Lab.
MIT, USA


Dr. Satoshi Matsuoka
Professor
Global Scientific Information and Computing Center
Tokyo Institute of Technology, Japan

Human-in-the-loop Applied Machine Learning

Dr. Carla E. Brodley, Professor and Dean, Northeastern University, USA

Abstract:Machine learning research in academia is often conducted in vitro, divorced from motivating practical applications. As a result researchers often lose the ability to ask the question: how can my human expert’s knowledge be used to best improve the machine learning outcome? In this talk, we present three motivating applications that all benefit from human-guided machine learning: systematic reviews for evidence-based medicine, generating maps of global land cover of the Earth from remotely sensed data, and finding lesions in the MRI’s of treatment resistant epilepsy patients. Our machine learning contributions span active learning, both supervised and unsupervised learning, and their combination with human input. The methods we created are applicable to a wide range of applications in science, medicine and business.

Carla E. Brodley is the Dean of the College of Computer and Information Science at Northeastern University. Prior to joining Northeastern, she was a professor of the Department of Computer Science and the Clinical and Translational Science Institute at Tufts University (2004-2014). Before joining Tufts she was on the faculty of the School of Electrical Engineering at Purdue University (1994-2004). A Fellow of the ACM and AAAI, Dean Brodley’s interdisciplinary machine learning research led to advances not only in computer and information science, but in many other areas including remote sensing, neuroscience, digital libraries, astrophysics, content-based image retrieval of medical images, computational biology, chemistry, evidence-based medicine, and predictive medicine. Dean Brodley’s numerous leadership positions in computer science as well as her chosen research fields of machine learning and data mining include serving as program co-chair of ICML, co-chair of AAAI, and serving as associate editor of the Journal of AI Research, and the Journal of Machine Learning Research. She has previously served on the Defense Science Study Group, the board of the International Machine Learning Society, the AAAI Council and DARPA’s Information Science and Technology (ISAT) Board. She is currently serving on the CRA Board of Directors, the executive committee of the Northeast Big Data Hub, and as a member-at-large of the section on Information, Computing, and Communication of AAAS.

TBD

Dr. Alan Edelman, Professor of Applied Mathematics, MIT, USA

Abstract:TBD

Alan Edelman is Professor of Applied Mathematics, and member of MIT's Computer Science and AI Lab. He has received many prizes for his work on mathematics and computing, and is a founder of Interactive Supercomputing, Inc. and Julia Computing, Inc. He received the B.S. and M.S. degrees in mathematics from Yale in 1984, and the Ph.D. in applied mathematics from MIT in 1989 under the direction of Lloyd N. Trefethen. Edelman's research interests include Julia, high-performance computing, numerical computation, linear algebra and random matrix theory. He has consulted for Akamai, IBM, Pixar, and NKK Japan among other corporations.

TBD

Dr. Satoshi Matsuoka, Professor, Tokyo Institute of Technology, Japan

Abstract:TBD

TBD