Categoría: Tech Roundup

Jennifer Tour Chayes is a Technical Fellow and Managing Director of Microsoft Research New England in Cambridge, Massachusetts, which she founded in 2008, and Microsoft Research New York City, which she founded in 2012. Chayes is best known for her work on phase transitions in discrete mathematics and computer science, structural and dynamical properties of self-engineered networks, and algorithmic game theory. She is considered one of the world’s experts in the modeling and analysis of dynamically growing graphs. Chayes has been with Microsoft Research since 1997, when she co-founded the Theory Group. She received her Ph.D. in mathematical physics at Princeton University in 1983. She is Affiliate Professor of Mathematics and Physics at the University of Washington, and was for many years Professor of Mathematics at UCLA. She is an author on almost 120 scientific papers and the inventor on more than 25 patents.

Janet L. Kolodner is an American cognitive scientist and learning scientist and a retired Regents’ Professor in the School of Interactive Computing, College of Computing at the Georgia Institute of Technology. She was Founding Editor in Chief of The Journal of the Learning Sciences and served in that role for 18 years. She was Founding Executive Officer of the International Society of the Learning Sciences (ISLS). From August, 2010 through July, 2014, she was a program officer at the National Science Foundation and headed up the Cyberlearning and Future Learning Technologies program. Since finishing at NSF, she is working toward a set of projects that will integrate learning technologies coherently to support disciplinary and everyday learning, support project-based pedagogy that works, and connect to the best in curriculum for active learning. Currently, she is a Visiting Professor at the Lynch School of Education at Boston College.

Jocelyn Scheirer is an American entrepreneur, scientist, and artist who has been working in wearable technology since the late 1990s. Her research focuses on Affective Computing, which she pursued while pursuing her PhD (pending) at MIT Media’s Lab Affective Computing Group with Rosalind Picard. Scheirer invented and, along with MIT, patented the Galvactivator glove which measured skin conductance through sensors on the palm and relayed the varying intensity through an LED display. She founded the intercommunication equipment and systems company Empathyx, Inc. in 2006 and co-founded the emotional analytics company Affectiva in 2009, serving as their director of operations until 2010. Scheirer has also created several visual and performance art pieces that have been featured in several galleries in Massachusetts including the MIT Museum, the Galatea Fine Art Gallery, and the Bromfield Gallery. She currently serves as CEO of the wearable company Bionolux Labs, LLC.

Lise Getoor is a professor in the Computer Science Department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has multiple best paper awards, an NSF Career Award, and is an Association for the Advancement of Artificial Intelligence (AAAI) Fellow. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor. She is a board member of the International Machine Learning Society, has been a member of AAAI Executive council, was PC co-chair of ICML 2011, and has served as senior PC member for conferences including AAAI, ICML, IJCAI, ISWC, KDD, SIGMOD, UAI, VLDB, WSDM and WWW.

Diane P. Pozefsky earned a Sc.B. Degree in applied mathematics from Brown University in 1972 and her Ph.D. from the Department of Computer Science at UNC in 1979 under the tutelage of Doctor Mehdi Jazayeri. She joined IBM Corporation, Raleigh, NC, in 1979 as a member of the Communication Systems Architecture Department working in the specification and application of the Systems Network Architecture (SNA), a large and complex feature-rich network architecture developed in the 1970s by IBM. Similar in some respects to the OSI reference model, but with a number of differences. SNA is essentially composed of seven layers. She worked for IBM for 25 years and was named an IBM Fellow in 1994 in recognition of her work on APPN and AnyNet architectures and development. She was tasked with the network and application design for the 1998 and 2000 Olympics. Her work life has largely been focused on networking and software engineering, including:

• developing networking protocols
• deploying the network at the Nagano Olympics
• development processes
• storage networking
• application development
• mobile computing

Tamara «Tammy» G. Kolda is an American applied mathematician and Distinguished Member of Technical Staff at Sandia National Laboratories. She is noted for her contributions in computational science, multilinear algebra, data mining, graph algorithms, mathematical optimization, parallel computing, and software engineering. She is currently a member of the SIAM Board of Trustees and serves as associate editor for both the SIAM Journal on Scientific Computing and the SIAM Journal on Matrix Analysis and Applications. She received her bachelors degree in mathematics in 1992 from the University of Maryland Baltimore County and her PhD in applied mathematics from the University of Maryland College Park in 1997. She was a Householder Postdoctoral Fellow at Oak Ridge National Laboratory from 1997 to 1999 before joining Sandia National Laboratories. Kolda received a Presidential Early Career Award for Scientists and Engineers in 2003, best paper prizes at the 2008 IEEE International Conference on Data Mining and the 2013 SIAM International Conference on Data Mining, and has been a distinguished member of the Association for Computing Machinery since 2011. She was elected a Fellow of the Society for Industrial and Applied Mathematics in 2015.

Yolanda Gil is a Spanish computer scientist specializing in knowledge discovery and knowledge-based systems at the University of Southern California (USC). She served as chair of SIGAI the Association for Computing Machinery (ACM) Special Interest Group (SIG) on Artificial Intelligence, and the president of the Association for the Advancement of Artificial Intelligence (AAAI).