Invited Speakers (in alphabetical order) 

  
1. Zoubin Ghahramani
Professor of Information Engineering
Cambridge University, UK

TITLE:
Nonparametric Bayesian Machine Learning     

BIO:


Zoubin Ghahramani is Professor of Information 
Engineering at the University of Cambridge, UK, and 
is also Associate Research Professor of Machine 
Learning at Carnegie Mellon University, USA. His 
current research focus is on Bayesian approaches to 
statistical machine learning, with applications to 
bioinformatics, econometrics, and information 
retrieval. He has served on the editorial boards of 
several leading journals in the field, including 
JMLR, JAIR, Annals of Statistics, Machine Learning, 
and Bayesian Analysis. He is Associate Editor in 
Chief of IEEE Transactions on Pattern Analysis and 
Machine Intelligence, currently the IEEE's highest 
impact journal. He also serves on the Board of the 
International Machine Learning Society, and as 
Program Chair (2007) and General Chair (2011) of the 
International Conference on Machine Learning.  



2. Tom M. Mitchell
E. Fredkin University Professor
Machine Learning Department
Carnegie Mellon University

TITLE:
Learning to Read the Web

BIO:


Tom M. Mitchell is the E. Fredkin University Professor 
and head of the Machine Learning Department at Carnegie 
Mellon University. His research interests lie in machine 
learning, natural language processing, artificial intelli-
gence, and cognitive neuroscience.  Mitchell is a member 
of the U.S. National Academy of Engineering, a fellow of 
the American Association for the Advancement of Science 
(AAAS), and a fellow and Past President of the Association 
for the Advancement of Artificial Intelligence (AAAI).  
Mitchell believes the field of machine learning will be the 
fastest growing branch of computer science during the 21st 
century.



3. Ishwar K. Sethi
Oakland University, USA

TITLE:
Title to appear shortly

BIO:


Ishwar K. Sethi is currently a professor and chair of the 
Department of Computer Science and Engineering at Oakland 
University in Rochester, Michigan, a position he has held 
since 1999. From 1982 to 1999, he was with the Department 
of Computer Science at Wayne State University, Detroit, 
Michigan. Before that, he was a faculty member at Indian 
Institute of Technology, Kharagpur, India, where he received 
his Ph.D. degree in 1978. 

His current research interests are in data mining, 
pattern classification, and multimedia information indexing 
and retrieval. He has graduated over 20 doctoral students 
and has authored or coauthored over 150 journal and conference 
articles. He has served on the editorial boards of several 
prominent journals including IEEE Trans. Pattern Analysis 
and Machine Intelligence, and IEEE Multimedia. He was elected 
IEEE Fellow in 2001 for his contributions in artificial 
neural networks and statistical pattern recognition.

 

4. Gheorghe Tecuci
George Mason University, USA

TITLE:
Cognitive Agents that Learn, Tutor, and Assist in Problem Solving

BIO:


Gheorghe Tecuci is Professor of Computer Science in the 
Volgenau School of Information Technology and Engineering and 
Director of the Learning Agents Center at George Mason 
University http://lac.gmu.edu.
He is also Visiting Professor and former Chair of Artificial 
Intelligence at the US Army War College, and a member of the 
Romanian Academy. Dr. Tecuci has followed a career-long interest 
in the development of a computational theory and technology that 
allows non-computer scientists to develop intelligent assistants 
that incorporate their problem solving expertise, and can assist 
them in problem solving and decision making. He has published 
over 175 papers with contributions to artificial intelligence 
and its applications, particularly instructable agents, multi-
strategy learning with an evolving knowledge representation, 
integrated logic and probabilistic reasoning in uncertain and 
dynamic environments, mixed-initiative reasoning and collaborative 
problem solving, modeling experts’ reasoning, learning-based 
knowledge engineering, and intelligent tutoring systems. The 
application areas include intelligence analysis, military center 
of gravity determination, course of action critiquing, emergency 
response planning, critical thinking skills, financial services, 
medicine and personalized training.