faculty bio photo

Sofia Visa

Associate Professor of Computer Science

Department/Affiliation: Computer Science
Phone: 330-263-2363
Office Address: 304 Taylor
Email

Degrees

  • B.S., University of Lucian Blaga, Romania, 1998
  • M.S., University of Cincinnati, 2002
  • Ph.D, University of Cincinnati, 2007

Courses Taught

  • Scientific Computing
  • Computer Networking and Communication
  • Data Structures and Algorithms
  • Machine Intelligence
  • Computer Organization
  • Bioinformatics
  • Calculus for Social Sciences
  • First Year Seminar
  • Problem Seminar

Recent Senior Theses Advised

  • On Designing and Implementing Graphical Interface for Mild Dementia and Early-Stage Alzheimer's Patients (Michelle Blackwood, 2014)
  • Optimizing Merit Scholarhips for Enrollment Management at The College of Wooster (Tin Nguyen, Computer Science and Business Economics, 2014)
  • Don't Get Boxed In: Connecting the Dots of Game Theory Through Computer Simulations (Trevor Pozderac, Computer Science and Math, 2014)
  • An Agent-based Model of Influenza Within a College Population (Matt Lambert, Math and Computer Science, 2013)
  • Optimizing Integer Arithmetic for Public Key Cryptography (Spencer Hall, Math and Computer Science, 2013)
  • Exploring the Capabilities of the Scribbler Robot for Introductory CS Classes (David Mar, 2010)
  • BitTorrent-Enhanced Distributed Internet Caching: Applying Peer-to-Peer Protocols to Enhance Performance and Scalability of Browser-Accessible Internet Resources (Max Rafferty,2010)
  • GraffiWii The Wiimote as a Text Entry Device (Joseph Henrich, 2009)

Memberships

Association for Computing Machinery

Recent Publications

  • S. Visa, C. Cao, B. McSpadden-Gardener, E. van der Knaap, Modeling Tomato Fruits into Nine Shape Categories using Elliptic Fourier Shape Modeling and Bayesian Classification of Contour Morphometric Data, Euphytica, June 2014.
  • M. Blackwood, S.Visa, E. van der Knaap. Finding regulatory motifs in the Solanum Lycopersicum genome, In Proceedings of the International Students Conference on Informatics - Imagination, Creativity, Design, Development Conference, Romania, 2013.
  • Book chapter: N. Jiang, S. Visa, S. Wu, E. van der Knaap, Rider Transposon Insertion and Phenotypic Change in Tomato. Plant Transposable Elements, Topics in Current Genetics. 24, Chapter 15, 297-312. 2013.
  • S. Visa, S. Strand, R.D. Pasteur, W. Morgan. Interdisciplinary Teaching and Research at a Liberal Arts College on Computational Biology, In Proceedings of The 16th World Multi-Conference on Systemics, Cybernetics and Informatics, Special Track on Interdisciplinary Research, Education, and Communication, pages 196-201, Orlando, 2012.
  • S. Visa, A. Ralescu, M. Ionescu. A Framework for Segmentation using Edge Guided Image Clustering, International Journal of Information and Electronics Engineering, Vol 2(1), 29-37. 2012.
  • S. Visa. The effect of class imbalance, complexity, size, and learning distribution on classifier performance, International Journal of Advanced Intelligence Paradigms Vol 3(3/4), 341-366. 2011.
  • J.Thomas, M.Lambert, B. Snyder, M. Janning, J. Haning, Y. Hu, M. Ahmad, S. Visa. Learning Morphological Data of Tomato Fruits, In Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference, Cincinnati, OH, 2011.
  • S.Visa, B. Ramsay, A.Ralescu, E. van der Knaap. Confusion Matrix-based Feature Selection, In Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference, Cincinnati, OH, 2011.
  • S.Visa. S.Strand, T.Vrolijk. Genomic Comparison of North American Strains of Histoplasma Capsulatum, Proceedings of the 3rd International Conference on Future Computer and Communication Conference, Iasi, Romania, June 2011.
  • S.Visa. M.Ionescu, A. Ralescu. Edge Coincidence Based Technique for Image Segmentation, Proceedings of the 3rd International Conference on Future Computer and Communication Conference, Iasi, Romania, June 2011.
  • M.Rafferty, S.Visa. BitTorrent-Enhanced Distributed Internet Caching (BEDIC), Midstates Conference For Undergraduate Research in Computer Science and Mathematics, Wittenberg University, OH, November 2010.
  • A.Ralescu, S.Visa, S.Popovici. A Stochastic Treatment of Similarity, In Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference, Dortmund, Germany, July 2010.
  • S.Visa, A.Ralescu, Data-driven fuzzy sets for classification, International Journal of Advanced Intelligence Paradigms, Volume 1, No. 1, pages 3-30, 2008.
  • A.Ralescu, S.Visa. On Filling-in Missing Attribute Values for Bayes and Fuzzy Classifiers, In Proceedings of the North American Fuzzy Information Processing Society Conference, New York, May 2008.
  • S.Visa, D.Guerra, S. Garcia. Detecting Atmospheric Buoyancy Waves in Lidar Data, In Proceedings of the 19th Midwest Artificial Intelligence and Cognitive Science Conference, Cincinnati, OH, pages 62-69, April 2008.
  • M.Ionescu, S.Visa, A.Ralescu. Evaluation of the Similarity between Heterogeneous Data using a Fuzzy Sets based Approach, In Proceedings of the North American Fuzzy Information Processing Society Conference, San Diego, pages 463-466, June 2007.
  • A.Ralescu, S.Visa. Obtaining Fuzzy Sets from Data using the Mass Assignment Theory - Consistency with Interpolation, In Proceedings of the North American Fuzzy Information Processing Society Conference, San Diego, pages 436-440, June 2007.
  • S.Visa, A.Ralescu, M.Ionescu. Investigating Learning Methods for Binary Data, In Proceedings of the North American Fuzzy Information Processing Society Conference, San Diego, pages 441-444, June 2007.
  • S.Visa, A.Ralescu. On the Relation between Bayes and Fuzzy Classifiers, In Proceedings of the IEEE Conference on Fuzzy Systems (FuzzIEEE), Vancouver, Canada, pages 863- 868, July 2006.
  • S.Visa, A.Ralescu. Bayes Classifiers – a Particular Case of Fuzzy Classifiers, In Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference, Paris, France, July 2006.
  • S.Visa, A.Ralescu. Fuzzy Classifiers Versus Cost-Based Bayesian Classifiers, In Proceedings of the North American Fuzzy Information Processing Society Conference, Montreal, Canada, pages 302-305, June 2006.
  • S.Visa, A.Ralescu. Fuzzy Classifiers versus Cost-based Bayesian Classifiers – A Preliminary Study, In Proceedings of the Midwest Artificial Intelligence and Cognitive Science Conference, Valparaiso, IN, pages 117-122, April 2006.