Shekhar teaches computer science, is a board member of the Computing Research Association, and is co-editor-in-chief of the international, GIS-focused journal GeoInformatica. His publications include more than 350 refereed papers, a textbook and an encyclopedia.
He has received the 2015 Education Award from the University Consortium for GIS Science and the 2006 Technical Achievement Award from the Institute of Electrical and Electronics Engineers Computer Society, among others.
Expertise: Computer science, spatial computing, geographic information systems
Delaram Kahrobaei is a Professor at the City University of New York. She is also an Adjunct Professor of Computer Science at the New York University. Kahrobaei is an expert on Cybersecurity, Cryptography, Information Security, and Data Science.
She is a member of the Advisory Committee for the newly created CUNY Hub for Innovation and Entrepreneurship. Kahrobaei is on the faculty advisory board of the Data Science @CUNY and she is the founder of New York Women in Mathematics and Computing Network.
She is President and co-founder of Infoshield, Inc., a startup that works on storing information in encrypted form.
She is also Deputy Executive Officer at the MS program in Data Analysis and Visualization at CUNY Graduate Center.
Areas of Expertise: Cybersecurity, Cryptography, Information Security, Data Science
Pedro Domingos teaches computer science at the University of Washington in Seattle. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.
A Fellow of the Association for the Advancement of Artificial Intelligence, Domingos is also a winner of the SIGKDD Innovation Award, the highest honor in data science. He has held visiting positions at Stanford, Carnegie Mellon, and MIT.
Dr. Daily is an Associate Professor in the School of Computing at Clemson University directing MorphLab. Her research is in human centered computing, which has led her to projects as wide-ranging as creating a computing system to address the emotional needs of teenage girls, to designing a system that uses physiological measures to give teachers feedback on student engagement. Dr. Daily has been profiled in the American Association for Advancement in Science website profiling African American Scientists; Engineer Your Life, geared towards encouraging young women to pursue engineering careers; and WGBH’s Science City. Trinity Broadcasting Network, Science Update Radio Program, National Public Radio, and Under the Microscope have also recognized her work. Currently, she is an Institute for the Advancement of Health Care Scholar and a Diverse Issues in Higher Education Emerging Scholar.
Associate Professor in the School of Computing at Clemson University
Areas of expertise: Broadening participation in computing, Affective computing, Positive technology
Charles Isbell is Senior Associate Dean and professor at Georgia Tech’s College of Computing and an expert in artificial intelligence. To let his bio explain:
Dr. Isbell’s research passion is artificial intelligence. In particular, he focuses on applying statistical machine learning to building autonomous agents that must live and interact with large numbers of other intelligent agents, some of whom may be human.
Lately, Dr. Isbell has turned his energies toward adaptive modeling, especially activity discovery (as distinct from activity recognition); scalable coordination; and development environments that support the rapid prototyping of adaptive agents. As a result he has begun developing adaptive programming languages, worrying about issues of software engineering, and trying to understand what it means to bring machine learning tools to non-expert authors, designers, and developers.
Senior Associate Dean at the College of Computing, Professor of Interactive Computing, Georgia Institute of Technology
Areas of Expertise: Artificial Intelligence, Interactive Computing, Software Engineering, Computer Programming Languages
Armando Fox is a professor of computer science at the University of California Berkeley. His focus is on online education, and he co-designed and co-taught Berkeley’s first Massive Open Online Course (MOOC) on Engineering Software as a Service, which has certified more than 10,000 students.
Fox was honored as one of Scientific American’s “Top 50” researchers in 2003 for his work in software engineering and innovation, and was a keynote speaker for the 2013 Tapia Celebration of Diversity in Computing. In addition to his own personal blogging on the history of computing, cloud computing and software practice, Fox has appeared on WBUR’s On Point to discuss HealthCare.gov’s rocky rollout.
Professor of Computer Science at University of California, Berkeley
Areas of Expertise: Computer Engineering, Software, Cloud Computing, Computing and Society, Online Education, Computer Programming