Headshot of Chris Alvin, new professor

Chris Alvin

Associate Professor of Computer Science

Curriculum Vitae
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Chris Alvin grew up in Madison, Wisconsin. After graduating with a Bachelor of Arts in Mathematics and Computer Science from Ripon College, he continued his computer science education at the University of Wisconsin at Madison where he completed a Master's degree. After a two-year stint as a software engineer, he turned to teaching high school mathematics for 7 years. A computer scientist at heart, he completed his PhD in Computer Science with a dissertation that focused on automated solving and generating high school geometry problems. Dr. Alvin spent the next 3 years teaching at Bradley University before joining Furman University in August 2018. Dr. Alvin has an interest in student research, computer science pedagogy and best practices, AI-driven Drug Discovery, as well as applying AI techniques to better help teachers teach and students learn.

Education

  • Ph.D. Computer Science, Louisiana State University at Baton Rouge
  • M.S. Mathematics, Marquette University
  • M.S. Computer Science, University of Wisconsin at Madison
  • B.A. Mathematics, Computer Science, Ripon College

Research Interests

  • Intelligent Tutoring
  • Drug Discovery
  • Static Program Analysis
  • Games

Publications

  • Durham, C., Alvin C., Shortest Walk in a Dungeon Graph, Proceedings of the 37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, Miramar Beach, Florida, USA, May 19-21, 2024.
  • Henning J., King H., Gardner, A., Ngo, S., Shore, J., Alvin C., Stadnyk, G., Lattice-Based Generation of Euclidean Geometry Figures, Proceedings of the 37th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, Miramar Beach, Florida, USA, May 19-21, 2024.
  • Ranjan, A., Bess, A., Alvin, C., Mukhopadhyay, S., MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction, Journal of Chemical Information and Modeling, May 2024.
  • Bess A., Berglind F., Mukhopadhyay, S., Brylinski, M., Alvin C., Fattah, F., Wasan, K., Identification of Oral Therapeutics using an AI Platform Against the Virus Responsible for COVID-19, SARS-CoV-2, Frontiers in Pharmacology, December 2023.
  • Ho V., Alvin C., Lawson J., Mukhopadhyay S., Peterson B., Program Analysis Using Empirical Abstraction, International Journal of Software Tools for Technology Transfer (STTT) Special Issue, May 2023.
  • Alvin C., Student Generation of an Optimal Decision Procedure using Guess Who?, The Journal of Computing Sciences in Colleges, 2019, 34(6): 26-34
  • Stocker, A., Alvin C., Non-Linear Quest Generation, Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018
  • Alvin C., Peterson B., Mukhopadhyay S., Static Generation of UML Sequence Diagrams, Proceedings of Fundamental Approaches to Software Engineering - 20th International Conference, FASE 2017
  • Naderi M., Alvin C., Ding, Y., Mukhopadhyay S., Brylinski M., A Graph-Based Approach to Construct Target-Focused Libraries for Virtual Screening, Journal of Cheminformatics, 8(1): 14:1-14:16, 2016.
  • Alvin C., Gulwani S., Majumdar R., Mukhopadhyay S., Synthesis of Geometry Proof Problems, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence, 2014

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