Adam Anthony Baldwin-Wallace College Voice: (440) Department of Mathematics and Computer Science 275 Eastland Rd

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1 Adam Anthony Baldwin-Wallace College Voice: (440) Department of Mathematics and Computer Science 275 Eastland Rd Berea, OH apanthon Updated July 16, 2012 RESEARCH INTERESTS Applications of Artificial intelligence. Current projects/interests involve: Planning and Prediction for college completion, assitive devices for nurses, and mobile technology. EDUCATION May 2009 May 2007 May 2004 PhD. in Computer Science, University of Maryland Baltimore County Thesis title: Stochastic and Iterative Techniques for Relational Data Clustering My research focused on development of novel data clustering algorithms for data in which relational links between objects are present. The first contribution is a single-relational clustering algorithm that takes into account the assumption that links exist because of both class membership and relationfeature correlation. The second contribution was a fast iterative technique for block-model type clustering in relational data that is much faster than its stochastic counterparts. The final contribution is a technique for relation selection in multi-relational data that identifies the most informative relations out of a set of many potential relation sets. M.S. in Computer Science, University of Maryland Baltimore County B.A. magna cum laude in Computer Science, The College of Wooster

2 EMPLOYMENT HISTORY August 2009 Present January 2008 May 2009 August 2007 December 2007 June 2007 August 2007 May 2006 June 2007 Assistant Professor Dept. of Mathematics and Computer Science, Baldwin-Wallace College Tenure-track faculty position. Duties include instruction in several undergraduate courses, departmental and campus service, advising students, and conducting undergraduate research. Research Assistant Graduate research assistantship position in the Multi-Agent Planning and Learning lab at UMBC. Research investigates both relational clustering techniques and team formation models for networked multi-agent systems. Full Instructor Assigned as a full instructor for CMSC 203 Discrete Structures. Responsible for all aspects of instruction including: syllabus design, three hours of lecture per week, assignment of homework, development of on-line resources, writing exams and grading. Graduate Mathematics Program Intern National Security Agency Security Clearance: Top Secret/SCI Collaborated with 8 graduate students and numerous agency employees to determine new methods and techniques applicable to a large scale collection and data mining problem. Improved analysts ability to interpret data by implementing a novel subgraph extraction algorithm Research Assistant Graduate research assistantship position in the Multi-Agent Planning and Learning lab at UMBC. Research investigates team formation models for networked multi-agent systems.

3 August 2005 May 2006 August 2004 August 2005 Teaching Assistant & Laboratory Lecturer Graduate teaching assitantship position. Responsibilities include Grading, office hours and independent laboratory instruction. Computer Science Department Intern Department of Mathematics and Computer Science, The College of Wooster Internship involved joint duties with the computer science and networking/telecom departments. Instructional support/teaching experience involved: development of technology solutions such as data base accounts for a course and distributed computing software for a student project, authoring of HTML documents, installation and testing of software and lab procedures for multiple classes and instructional assistance for Programming I and II for majors.

4 TEACHING EXPERIENCE Fall 2011 Fall 2011 Fall 2011 Fall 2010 Fall 2010 Spring 2010 Spring 2010 Fall 2009 Fall 2009 Lecturer Assignments Spring 2009 Fall 2007 Spring 2006 Fall 2005 Teaching Assistantships Spring 2006 Spring 2005 Spring 2005 Fall 2004 Fall 2004 Spring 2003 Spring Spring 2002 CSC 430, Design and Analysis of Algorithms, Baldwin-Wallace College. CSC 459, Faculty Student Collaboration, Baldwin-Wallace College. CSC 470, Internship Coordinator, Baldwin-Wallace College. CSC 459, Faculty Student Collaboration, Baldwin-Wallace College. CSC 470, Internship Coordinator, Baldwin-Wallace College. MTH 161, Discrete Mathematics I, Baldwin-Wallace College. CSC 459, Faculty Student Collaboration, Baldwin-Wallace College. CSC 470, Internship Coordinator, Baldwin-Wallace College. CSC 463, Artificial Intelligence, Baldwin-Wallace College. CSC 280, Introduction to Database Systems, Baldwin-Wallace College. CSC 141, Advanced Applications for Information Analysis, Baldwin- Wallace College. CSC 430, Algorithm Design and Analysis, Baldwin-Wallace College. CSC 141, Advanced Applications for Information Analysis, Baldwin- Wallace College. CMSC 202, Programming II for Majors, UMBC. CMSC 203, Discrete Structures, UMBC. CMSC 201, Programming I for Majors, UMBC. CMSC 201, Programming I for Majors, UMBC. CMSC 461, Database Management Systems, UMBC CS 151, Programming I, The College of Wooster. CS 152, Programming II, The College of Wooster. CS 151, Programming I, The College of Wooster. CS 152, Programming II, The College of Wooster. CS 151, Programming I, The College of Wooster. Senior mathematics tutor, College of Wooster Math Center.

5 STUDENT ADVISEMENT Undergraduate Research at Baldwin-Wallace College Fall 2011 Thomas Hood, Aric Gady, Ben Hamilton, Collin Simpson, Paul Kaminsky (topic: automated pre-registration of freshmen students at Baldwin-Wallace College) Eric Kaminsky, Anna Marchuk, Christina Rios (topic: Collaborative Filtering to Predict College Course Satisfaction) Shawn Biesan (topic: Fast data clustering in Relational Data) Publication: Block Modeling in Large Social Networks with Many Clusters, AAAI Fall Symposium on Social Networks and Social Contagion Fall 2010 Aric Gady 14, Brandon Vincent 12, Bryan Young 11, and Drew Binkley 11 (topic: automated pre-registration of freshmen students at Baldwin-Wallace College). Mitch Raney 11 (topic: Using Bayesian Networks to Predict Student Grades.) Publication: Bayesian Network Analysis of Computer Science Grade Distributions, The 43rd Technical Symposium on Computer Science Education March Drew Binkley 11 (topic: Developing Preference Models for Student Course Selection.) Fall 2009 Spring 2010 Kyle Ungur 10 (topic: Artificial intelligence techniques applied to the game of Starcraft.) Konstantin Dinev 10 (topic: Inferring the number of clusters in a relational data set as a pre-processing step to clustering.) Undergraduate Research at UMBC Michael Lombardi 10 (topic: Relational clustering initialization and optimization techniques.) Paul Guseman 09 (topic: Constrained priors for probabilistic relational clustering.) Steven Martin 08 (topic: Relational clustering and multi-agent team formation.) Joseph C. Montminy 06 (topic: Modifying traditional clustering algorithms to include relational information.)

6 PROFESSIONAL SERVICE Chair, Faculty Development Committee (formerly Faculty Affairs Committee), Baldwin-Wallace College Fall Computer Science Colloquium Series Coordinator, Baldwin-Wallace College, Spring 2010 Present. Internship Coordinator, Computer Science and Information Systems, Baldwin-Wallace College, Fall 2010 Present. Faculty Affairs Committee, Baldwin-Wallace College Fall Ovation Committee, Baldwin-Wallace College, Spring CSC Recruitment Committee, Baldwin-Wallace College, Fall 2009 Present. Reviewer, International Conference in Machine Learning, Student Representative for the UMBC Computer Science Undergraduate Committee Member of planning committee for the Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration at Johns Hopkins University Graduate Student Association senator for the CSEE department, Served on the committee for the UMBC CSEE Research day, Reviewed paper for the special issue of Applied Artificial Intelligence on Applications of Grammatical Inference, CMSC 345 (Software Engineering) Customer (2007,2008) PUBLICATIONS 2012 Shawn Biesan, Adam Anthony and Marie desjardins. Block Modeling in Large Social Networks with Many Clusters, in Proceedings of the AAAI Fall Symposium on Social Networks and Social Contagion November Mitchell Raney and Adam Anthony. Bayesian Network Analysis of Computer Science Grade Distributions in Proceedings of The 43rd Technical Symposium on Computer Science Education March Adam Anthony, Marie desjardins and Michael Lombardi, Measuring General Relational Structure Using the Block Modularity Clustering Objective in Proceedings of the Twenty-Second Conference of the Florida Artificial Intelligence Research Society, Poster Presentation Adam Anthony, The Relational Push-Pull Model: A Generative Approach to Relational Data Clustering, in Proceedings of the Twenty-Third Conference on Artificial Intelligence, Doctoral Consortium 2008.

7 Adam Anthony and Marie desjardins, Generative Models for Clustering: The Next Generation, AAAI Spring Symposium on Social Information Processing, Adam Anthony and Marie desjardins, Data Clustering with a Relational Push-Pull Model, in Proceedings of the ICDM Workshop on Optimization-based Data Mining Techniques with Applications, Adam Anthony and Marie desjardins, Data Clustering with a Relational Push-Pull Model, in Proceedings of the Twenty-Second Conference on Artificial Intelligence, Adam Anthony and Marie desjardins, Open problems in relational data clustering, in Proceedings of the ICML 2006 Workshop on Statistical Relational Learning, AFFILIATIONS Association for Computing Machinery. Phi Beta Kappa

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