Connecticut College, New London, CT 06320
(Replace at in contact emails above with @).
- Dr. Gary Parker, Overall coordinator of content and module development. Helped develop the entire Machine Learning and Data Mining course, as well as the AI module.
Contact: parker at conncoll.edu. Gary Parker home page.
- Dr. Gregory Piatetsky-Shapiro, Designed and developed all Machine Learning and Data Mining course modules as well as the additional data mining modules for Intro to CS, Algorithms, and AI.
Contact: gregory at kdnuggets.com. Gregory Piatetsky-Shapiro home page.
- Dr. Bridget Baird, Helped develop the Algorithms module.
Contact: bbbai at conncoll.edu.
- Dr. Ozgur Izmirli, Helped develop the Introduction to Computer Science module.
Contact: oizm at conncoll.edu. Ozgur Izmirli home page.
- Dr. Marc Zimmer, Director of the Emerging Technologies grant.
Contact: mzim at conncoll.edu.
- Janet Hayes, Instructional designer/developer, interactive designer.
Contact: jvhay at connoll.edu.
Gary B. Parker
Jean C. Tempel '65 Assistant Professor of Computer Science
Director of the Computer Science Program at Connecticut College
Gary Parker teaches computer science at Connecticut College with an
emphasis on artificial intelligence and robotics. His research
focuses on evolutionary methodologies for learning in autonomous
robots. He developed the Cyclic Genetic Algorithm (a variant of the
standard GA) to provide a means for learning single loop programs to
control cycles of behavior. CGAs have been tested on three different
levels of control complexity (individual leg cycles, gaits, and search
cycles). In current research, he is using a variation of the CGA to
evolve multi-loop programs for robot control. Gary also developed
Punctuated Anytime Learning (PAL), a means of integrating the actual
robot with its simulation during evolutionary computation, which
allows the system to make adjustments to the on board controller while
learning is carried out off line, giving the robot the capability to
adapt to changes in real time. In recent research, the concept of PAL
has been expanded to the co-evolution of cooperative teams of robots.
He also does research in colony robotics, emergent systems, and neural
Gary believes in involving students in research, with over
half of the 25 technical papers that he has had published in the last
5 years being co-authored by students. He also believes in
incorporating research into the classroom. Students in robotics
courses get hands-on experience in the development of robots and the
programming of their controllers. These courses allow students to
observe the results of their labors in real world robotics instead of
just in simulation.
President of KDnuggets, which provides research and consulting services in the
areas of data mining, knowledge discovery, bioinformatics, and business analytics.
Editor and Publisher of KDnuggets News, the leading newsletter for the data mining and knowledge discovery community, and the associated www.KDnuggets.com website, a top-ranked portal for data mining and knowledge discovery.
Gregory is the founder of Knowledge Discovery in Database (KDD)
conference series. He organized and chaired the first three Knowledge
Discovery in Databases workshops in 1989, 1991, and 1993, and later,
helped convert them into leading international conferences on data
mining. He served as General Chair of the KDD-98 conference. Gregory
was elected in June 2005 as the chair of ACM SIGKDD, the leading
professional organization for Knowledge Discovery and Data Mining.
Gregory has over 60 publications, including 2
best-selling books and several edited collections on topics related to
data mining and knowledge discovery.
Professor of Mathematics and Computer Science
Judith Ammerman '60 Director, Ammerman Center for Arts and Technology
Bridget Baird teaches computer science and mathematics at
Connecticut College and directs the Ammerman Center for Arts and
Technology. In computer science, her teaching interests include
introductory courses, algorithms, virtual reality and graphics. In
recent years her research focus has been directed at the intersection
of arts and technology, particularly in the area of virtual reality,
music, and haptics (touch). She has directed extensive student
research and collaborated with colleagues in computer science, music,
art and dance. Some of her projects include the creation of virtual,
multimodal galleries; using haptics and sound to create multimodal
interfaces; conducting music using trackers; computer accompaniment of
music; and visualization of sound. Baird is the recipient of several
awards, including several from NSF, a Full bright scholarship to teach
virtual reality in Mexico, AT&T, and the State of Connecticut. Baird
is also interested in advancing the role of women and minorities in
both computer science and mathematics as well as extending the reach
of arts and technology into K-12 education.
Assistant Professor of Computer Science
Associate Director for Technology at the Center for Arts and Technology
Professor Izmirli teaches Computer Science and his research
interests are concentrated in digital signal processing related to
audio signals, musical signal analysis and representation, musical
information retrieval, music perception and cognition modeling, score
following, tonality tracking, and multimodal computer-user
interfaces. Professor Izmirli is associate director for technology at
the Ammerman Center for Arts and Technology and he is involved in
ongoing activities at the Center. He has a firsthand appreciation of
the values of student and faculty collaboration and exploration.