SUSAN P. IMBERMAN PH.D. -
CURRICULUM VITAE
Address: College of Staten Island, 2800 Victory Blvd, Staten Island NY 100314
Voice mail: 1-718-982-3273
Email: imberman@mail.csi.cuny.edu
Web Site: www.cs.csi.cuny.edu/~imberman/
Education:
Institution Degree & Field Date Conferred
CUNY Graduate Center Ph.D., Computer Science 6/99
CUNY College of Staten Island MS Computer Science 6/89
CUNY Queens College BA Biology 6/76
DISSERTATION
Comparative Statistical Analyses of Automated Booleanization Methods, Graduate Center City University of New York, June 1999.
Advisors: Michael Kress, Bernard Domanski
RESEARCH AREAS
Medical Data Mining, Frequent Itemset Mining, Educational Robotics
REFERRED BOOK CHAPTERS
Frequent Itemset Mining and Association Rules, Encyclopedia of Knowledge Management, October 2005, Idea Group Reference, pgs 195 - 201
REFEREED
JOURNAL PUBLICATIONS
Leveraging online/distance learning methodologies in face to face instruction. : faculty poster Susan P. Imberman. 2012. J. Comput. Sci. Coll. 27, 6 (June 2012), 73-75.
The computer science club: Building a student community with projects and activities that extend beyond the classroom: faculty poster Susan P. Imberman. 2012J. Comput. Sci. Coll. 26, 6 (June 2011), 178-179.
Creating the technologically savvy K-12 teacher: faculty poster Susan P. Imberman and Roberta Klibaner. 2010. J. Comput. Small Coll. 25, 6 (June 2010), 237-238
A Robotics Lab for CS1, Susan P. Imberman, Roberta Klibaner, Journal of Computing Sciences in Colleges, Volume 21 Issue 2 December 2005
Three Fun
Assignments for an Artificial Intelligence Class, Susan P. Imberman, Journal of Computing Sciences in
Colleges, Volume 21 Issue 2
December 2005
A Perspective Study of Accommodative Esotropia, Irene H. Ludwig, MD, Susan P. Imberman, PhD, Hilary Thompson, PhD, Marshall M. Parks, MD, December 2005, Journal of the American Association for Pediatric Ophthalmology and Strabismus
An Intelligent Agent Approach for Teaching Neural Networks Using LEGOŇ Handy Board Robots, Susan P. Imberman, Ph.D. ACM Journal of Educational Resources in Computing, Volume 4 issue 2, September 2004 (published September 2005)
Long Term Study of Accommodative Esotropia, Irene H. Ludwig, MD, Susan P. Imberman, PhD, Hilary Thompson, PhD, Marshall M. Parks, MD, Transactions of the American Ophthalmological Society, Vol. 101, 2003
The KDD Process And Data Mining For Computer
Performance Professionals, Susan
P. Imberman. Journal of Computer Resource
Management, Summer 2002 Issue 107, pgs
68-77
REFEREED CONFERENCE
PROCEEDINGS
Using Frequent Pattern Mining To Identify Behaviors In A Naked Mole Rat Colony, Susan P. Imberman, Michael E. Kress, Daniel P. McCloskey, Florida Artificial Intelligence Research Seminar, May 2012.
From Market Baskets To Mole Rats:
Using Data Mining Techniques To Analyze RFID Data Describing Laboratory Animal
Behavior. Daniel P. McCloskey, Michael E. Kress, Susan P. Imberman, Igor Kushnir, and Susan Briffa-Mirabella. Proceedings of the 17th ACM SIGKDD
international conference on Knowledge discovery and data mining (KDD '11).
ACM, San Diego, CA 301-306.
Using Decision Trees To Find Patterns in
a Clinical Ophthalmology Dataset,
Susan P. Imberman, Sarah Zelikovitz, Florida
Artificial Intelligence Research Seminar, May 2011.
Making Nifty Assignments Niftier
and Not So Nifty Assignments Nifty with Online Technologies, Susan P. Imberman, AI Education Workshop at
Association for Advancement of Artificial Intelligence 2008, Chicago July 2008
Robotics As a Component of a General Education Course, Susan P. Imberman, Sarah Zelikovitz, Spring 2008 Symposium of the American Association for Artificial Intelligence.
Discovery of Association rules
in Temporal databases, Abdullah Uz Tansel, Susan P. Imberman, to
appear: IEEE Proceedings 4th
International Conference on Information Technology: New Generations, April 2007
Student Feedback on Robotics in CS1, Susan P. Imberman, Roberta Klibaner, Sara Zelikovitz, to appear Spring 2007 Symposium of the American Association for Artificial Intelligence.
Extra-Curricular Robotics:
Entry-level Soccer for Undergraduates, Susan P. Imberman, Aleksandr Barkan, Elizabeth Sklar, to appear Spring 2007 Symposium of the
American Association for Artificial Intelligence.
An Efficient Method For Finding Emerging Large Itemsets, Susan P. Imberman, Abdullah Uz Tansel, Eric Pacuit, The Third Workshop on Mining Temporal and Sequential Data, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2004
A Laboratory Exercise Using LEGO Handy Board Robots to Demonstrate Neural Networks in an Artificial Intelligence Class, Susan P. Imberman, Spring 2004 Symposium of the American Association for Artificial Intelligence. On Accessible Hands-on Artificial Intelligence and Robotics Education
Teaching Neural Networks Using Lego-Handyboard Robots in an Artificial Intelligence Course, Susan P. Imberman. ACM SIGCSE Technical Symposium on Computer Education, February 2003
Effective Use
Of The KDD Process And Data Mining For Computer Performance Professionals, Susan
P. Imberman, Proceedings of CMG 2001, December 2001
Boolean
Analyzer - An Algorithm That Uses A Probabilistic Interestingness Measure to
find Dependency/Association Rules In A Head Trauma Dataset, Susan P.
Imberman, Bernard Domanski, Hilary W. Thompson,
Intelligent Data Analysis in Medicine and Pharmacology, A Workshop at the Tenth World Congress on Health and Medical
Informatics, Medinfo 2001, September 2001
Finding Association Rules From Quantitative Data Using Data Booleanization, Susan P. Imberman, Bernard Domanski, Proceedings of the Seventh Americas Conference on Information Systems, August 2001
Using Booleanized Data to Discover Better Relationships Between Metrics, Susan P. Imberman, Bernard Domanski, Robert Orchard, Proceedings of CMG99, December 1999
RESEARCH GRANTS
Software grant from Microsoft Corporation ($108,000 with B. Domanski, M. Kress, and R. Klibaner) to help provide courseware using Microsoft software products (1996). This grant was renewed for 1997 (additional $108,000), and again in 1999 (additional $40,000).
PSC-CUNY grant, ($5,300) Analysis of Clinical Pediatric Ophthalmology Data Using Intelligent Data Analysis, funded July 1, 2000 - June 30 2001.
Microsoft Instructional Lab Grant ($57,125/year) with B. Domanski, R. Klibaner, E. Chi, N. Gueorguieva, and M. Kress) (6/2000 - 6/2002) provides web based course materials for use by other Universities and Colleges using Microsoft products. This is part of the Microsoft Academic Cooperative.
PSC-CUNY grant, ($4,142) Analysis of Clinical Pediatric Ophthalmology Data Using Intelligent Data Analysis, funded July 1, 2001 - June 30 2002.
GRTI - 6 ($48,658.89) Real Time Interactive Smart Wireless Classrooms with Mike Kress, Roberta Klibaner, Bernie Domanski, Emile Chi funded September 2001
PSC-CUNY grant ($3,453) Cluster Analysis of Clinical Ophthalmologic
Data, funded July 1, 2003 - June 30 2004.
PSC-CUNY grant ($2805) Using Data Mining For Finding Patterns In a Clinical Ophthalmology Dataset, funded July 1, 2005 - June 30 2006.
PSC-CUNY
grant ($3,176) Using Data Mining For Finding Patterns In a Clinical
Ophthalmology Dataset renewal funded
July 1, 2006- June 30 2007
PSC-CUNY
grant ($2,805) Using Data Mining For Finding Patterns In a Clinical
Ophthalmology Dataset, funded July 1, 2005 - June 30 2006.
HONORS
Awarded CSI's Dolphin Award for excellence in teaching
AWARDS
Recipient Journal Best Paper 2002, Computer Measurement Group
OTHER PROFESSIONAL ACTIVITIES
LECTURES PRESENTED
9/14/03 Using
LEGO® Handyboard Robots As a Pedagogical
Tool in the Computer Science Curriculum, CUNY’s
2nd Annual IT Conference - Instructional/Information Technology in CUNY:
Issues, Innovations, Integration
9/14/03 The Smart Wireless Interactive Classroom (SWIC), Susan P. Imberman, with Michael Ziselman, CUNY's 2nd Annual IT Conference - Instructional/Information Technology in CUNY: Issues, Innovations, Integration
9/17/99 Invited
talk at Philadelphia meeting of Computer Measurement Group - Topic: Using Booleanized
Data to Find Relationships in Quantitative Data
5/4/00 Invited talk at Baruch College, CUNY
- Topic: Boolean Analyzer, A
Method for Finding Disjunctive Association Rules
9/25/02 Invited talk at The Graduate Center
CUNY - Topic: Data Mining, KDD,
and ELI
REFEREEING
9/2005 Reviewed paper for Knowledge Engineering Review
9/2004 Reviewed paper for Journal Information Sciences
6/2003 Reviewed paper for International Journal for Artificial Intelligence in Medicine.
8/2002 Reviewed papers for the International Conference on Data Engineering
5/2001 Reviewed papers for Americas Conference on Information Systems
3/30/00 Reviewed journal paper Data Mining of Software Development Databases for Software Quality Journal
CURRENT MEMBERSHIP IN PROFESSIONAL
SOCIETIES
· Association for Computing Machinery (since 1993)
· Special Interest Group in Computer Science Education (SIG CSE)
· Special Interest Group in Artificial Intelligence (SIG ART)
· Special Interest Group in Data Mining (SIG KDD)
· Special Interest Group in Computer Uses in Education (SIG CUE)
· American Association for Artificial Intelligence (since 1996)