John Aleshunas
Professor
Mathematics & Computer Science
Webster University
Office: 376 WSBT Building
Phone: 314.246.7565
e-mail: jalesh@webster.edu
PhD, Applied Mathematics, University of Missouri - Saint Louis, 2013
MS, Computer Science, Missouri University of Science and Technology, 1994
Courses Taught
Current Courses
Undergraduate
MATH 3010 Discrete Mathematics
MATH 3020 Numerical Analysis
MATH 3160 Linear Algebra
MATH 3210 Data Mining Foundations
Graduate
Other Courses
Undergraduate
GNST 1200 Freshman Seminar - Vicious Cycles
COSC 2810 Systems Analysis and Design
COSC 3500 IT Project Management
MATH 4200 Data Mining Foundations
MATH 4500 Applications of Mathematics - Foundations of Data Mining
Graduate
COSC 5030 Agile Software Development Methodologies
COSC 5040 Distributed Database Systems
COSC 5050 Distributed Database Applications
COSC 5130 Computer Security & Reliability
CSIS 5400 Data Warehousing
Research Work
Canary - Software Suite for Data Mining Education The Canary Software Suite helps data mining students experiment with data mining algorithms. Canary is written in standard C++ and uses a graphical user interface developed with Qt. Each algorithm is packaged separately and can be used as a stand-alone application.
R Learning Infrastructure This project will develop an infrastructure that can help individuals easily learn and use R and RStudio. This infrastructure will include elements like: concept descriptions [modules], tutorials, exercises, example projects, resources, and references.
Presentations
Data Mining Demystified an informal presentation (26 September 2006)
Baseball by the Numbers a Brown Bag presentation (27 March 2008)
Teaching the Building Blocks of Undergraduate Research, Webster University Teaching Festival, Transformational Learning Panel, (20 February 2012)
Questioning the Truth: Sabermetrics and Baseball, Walker School of Business and Technology Recruiting event, (6 March 2012)
In the Blink of an Eye? A discussion of digital insecurity, Foreign Policy Association Great Decisions Speakers Series, (26 March 2012)
Teaching the Building Blocks of Undergraduate Research, Webster University 2012 Teaching Festival (3 April 2012)
Problem-based Learning, Webster University Reflective Teaching Community (27 November 2017)
Teaching Climate Change Policy with a Little Number Crunching, Webster University 2018 Teaching Festival (4 April 2018)
Verify it for yourself, Webster University Global Citizenship 2018 Collaboratory (21 May 2018)
Publications
Classification characteristics of SOM and ART2, J. J. Aleshunas, Daniel C. St. Clair, and W. E. Bond, Proceedings of the 1994 ACM symposium on Applied computing (SAC '94). ACM, 1994
Works citing this paper:
Desarrollo de un Sistema Experto Simbólico Conexionista de Ayuda al Diagnóstico del Glaucoma, María Aránzazu Simón Hurtado, Doctoral Thesis, Universidad de Valladolid, Escuela Técnica Superior de Ingeniería Informática, Junio 2002
Data Mining in Geosciences, D. Pokrajac, K. Amoako, H. Patel, J. Brooks, N. Cenat, K. Marcus, S. Darden, TELSIKS 2003, Serbia and Montenegro, NiS, October 1-3, 2003
Unified Vectorization of Numerical and Textual Data using Self-Organizing Map, Farid Bourennani, Ken Q. Pu, Ying Zhu, International Journal on Advances in Systems and Measurements, vol 2 no 2&3, 2009
Multiscale cancer modeling: In the line of fast simulation and chemotherapy,E. Bavafaye-Haghighi, M.J. Yazdanpanaha, B. Kalaghchi, H. Soltanian-Zadeh, Mathematical and Computer Modelling 49 (2009) 1449-1464
Building Block Emergence in Genetic Programming, John Aleshunas, unpublished, University of Missouri - Saint Louis, 2011
Cost-benefit Analysis of Using Heuristics in ACGP, John Aleshunas and Cezary Janikow, 2011 IEEE Congress on Evolutionary Computation (CEC), New Orleans, LA, 2011
Second Order Heuristics in ACGP, Cezary Z Janikow, John Aleshunas and Mark W Hauschild, ACM GECCO?11, July 12-16, 2011, Dublin, Ireland, 2011
GP Representation Space Reduction Using a Tiered Search Scheme, John Aleshunas, Doctoral Dissertation, University of Missouri - Saint Louis, 2013
Impact of Commutative and Non-commutative Functions on Symbolic Regression with ACGP, John Aleshunas and Cezary Janikow, 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 2013
Works citing this paper:
A Survey of Modularity in Genetic Programming, George Gerules and Cezary Janikow, Conference: 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 2016
Challenges of Supporting Specialized Diagramming in the e-Learning Environment, Janet L. Kourik, Jiangping Wang, and John Aleshunas, EEE'16 - The 15th International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, Las Vegas, Nevada, 2016
