Principal Investigator (PI)
Professor of Computer Science, University of Hartford
Ingrid Russell is a Professor of Computer Science at the University of Hartford. She served as an Associate Dean in the College of Arts and Sciences between 1995
and 1998. Her research interests are in the areas of machine learning, data and
web mining, pattern recognition, and computer science education. Her work has been
funded by the National Science Foundation (NSF),
the Connecticut Space Grant Consortium.
Currently, she is working on project MLExAI,
funded by an NSF grant.
Russell has published several journal and conference papers.
She serves as an associate editor of the International Journal on Artificial Intelligence
Tools, is a member of the editorial board of the International Journal of Intelligent Systems,
and has served in editorial capacities for several conference proceedings and journal special issues.
In 2006, Russell was among 15 “CRA-W Distinguished Professors”, named by the
Computing Research Association's
Committee on the Status of Women in Computing Research (CRA-W)
for the NSF-funded CAPP program.
She was a finalist for the 2006 Women of Innovation award in the Academic Innovation and
Leadership category, sponsored by the Connecticut Technology Council.
She is the recipient of a Yale Prize Teaching Fellowship, a NASA Fellowship, and a CCSCNE Service Award.
She has served on several NSF review panels and on advisory boards of NSF-funded projects.
In addition, she has done extensive work in the area of computer science education and curriculum.
She served as chair of the "Intelligent Systems Focus Group" and as a member of the "Computing Core
Focus Group" of the IEEE-CS/ACM Task Force on Computing Curricula 2001.
Russell serves on the board of directors of ACM SIGCSE.
She is a member of AAAI,
IEEE Computer Society,
and the Consortium for Computing Sciences in Colleges (CCSC).
Russell is a Past President of CCSC and has served two three-year terms on its board of directors.
She is a founding member and first president of the Northeastern region of CCSC and since its founding
has served as a member of its board of directors.
Co-Principal Investigator (Co-PI)
Zdravko Markov is an Associate Professor of Computer Science at Central Connecticut State University. His research interests are in the areas of Machine Learning, Knowledge Discovery and Data Mining, Logic Programming and Inductive Logic Programming. He has published 3 textbooks and more than 40 conference and journal papers in these areas. He has worked as PI on several European research and educational projects including the Networks of Excellence in Inductive Logic Programming (IPLnet) and Machine Learning (MLnet). Professor Markov teaches undergraduate and graduate courses on core Computer Science areas and advanced AI related topics. He has developed graduate courses on Data Mining and Machine Learning and teaches them regularly for two graduate programs at CCSU. He also developed on-line versions of the Data Mining and Machine Learning courses, which he teaches within the Data Mining program at CCSU, the world's first M.S. program in data mining offered completely on-line. His Machine Learning course is based on a number of projects, which the students develop by using a Prolog interpreter and a set of Prolog programs that implement major Machine Learning techniques and algorithms. Most of the programs are Professor Markov's original implementations. He also developed comprehensive lecture notes, which cover major Machine Learning areas and include advanced topics as Inductive Logic Programming and Conceptual Clustering. Professor Markov has served on a number of program committees of AI conferences. He has been chairing the Machine Learning track at the International FLAIRS Conferences 2001-2004 and is currently a Program co-chair of FLAIRS-2005.
Associate Professor of Computer Science, Central Connecticut State University