Richard Hoshino
(he/him/his)
Teaching Professor
Research interests
- Scheduling optimization
- Operations research
- Mathematics pedagogy
Education
- PhD in Mathematics, Dalhousie University – Canada
- MS in Mathematics, Dalhousie University – Canada
- BMath in Combinatorics and Optimization, University of Waterloo – Canada
- BEd in Mathematics Teacher Education, Queen’s University – Canada
Biography
Richard Hoshino is a teaching professor of computer science at the Khoury College of Computer Sciences at Northeastern University's Vancouver campus. His areas of teaching include discrete structures, algorithms, and foundations of artificial intelligence.
Before joining Northeastern’s faculty in 2020, he worked as a professor of mathematics at Quest University in Canada. Prior to this, he was a postdoctoral fellow at the National Institute of Informatics, as well as a research scientist at the Canada Border Services Agency. He is the owner of Hoshino Math Services, a boutique math consulting firm.
Hoshino has published numerous research papers, including two that received the Deployed Application Award from the world's largest artificial intelligence research society. In 2017, he became the youngest-ever recipient of the Adrien Pouliot Award, awarded by the Canadian Mathematical Society as a lifetime achievement award to celebrate significant and sustained contributions to mathematics education. He has been published in various conferences including AAAI and CPAIOR.
Recent publications
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Optimizing Student Course Preferences in School Timetabling
Citation: R. Hoshino and I. Fabris, Optimizing Student Course Preferences in School Timetabling, Proceedings of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria, May 2020. -
Computational Intractability and Solvability for the Birds of a Feather Game
Citation: R. Hoshino and M. Notarangelo, Computational Intractability and Solvability for the Birds of a Feather Game, Proceedings of the 9th EAAI Conference on Artificial Intelligence (EAAI 2019), Honolulu, Hawaii, January 2019. -
An Automated Employee Timetabling System for Small Businesses
Citation: R. Hoshino, A. Slobodin, and W. Bernoudy, An Automated Employee Timetabling System for Small Businesses, Proceedings of the 30th IAAI Conference on Artificial Intelligence (IAAI 2018), New Orleans, Louisiana, February 2018. Winner of the Deployed Application Award.
