Wai Kong (Johnny) Pang, Ph.D.
- Associate Professor
Department: Mathematics
Office: James and Marlene Howard Hall 234
Phone: 732-571-4483
Email: wpang@monmouth.edu
Education
Ph.D., Texas Tech University
Research Interests
Functional Data Analysis, Image Analysis, Multi-Sample Problems in Hilbert Space
Scholarly Articles
The Intricacies of College and University Closures: A Generalized Linear Model Perspective
Prof. Pang and Ryan Sonn Co-Publish in International Journal of Business Management
Additional Information
Professor Pang, alongside colleague Dr. Sandra Zak, coordinates our annual Math Day each spring semester. Designed as a celebration of mathematics, Math Day welcomes students from three to four local high schools for a half-day of engaging activities. Participants attend three breakout sessions led by our faculty, each highlighting creative and enjoyable approaches to learning mathematics. The event concludes with Monmouth University trivia, pizza and dessert, and a tour of our beautiful campus.
Courses
Recently Taught Classes
2026 Spring
- Probability and Statistics for Data Science – DS 501
- Probability and Statistics I – MA 220
- Statistics With Applications – MA 151
2025 Fall
- Applied Discrete Mathematics – MA 130
- Design of Experiments and Anova – MA 421
- Probability and Statistics for Data Science – DS 501
- Probability and Statistics I – MA 220
- Theoretical Foundations of Computer Science – CS 502
2025 Spring
- Probability and Statistics for Data Science – DS 501
- Probability and Statistics I – MA 220
- Statistics With Applications – MA 151
2024 Fall
- Probability and Statistics for Data Science – DS 501
- Probability and Statistics I – MA 220
- Regression and Time Series Analysis – MA 440
- Statistics With Applications – MA 151
2024 Summer A
- Statistics With Applications – MA 151
2024 Spring
2023 Fall
- Applied Discrete Mathematics – MA 130
- Probability and Statistics I – MA 220
- Statistics With Applications – MA 151
2023 Summer A
- Statistics With Applications – MA 151
2023 Spring
Frequently Taught Classes
- Applied Discrete Mathematics (MA 130)
- Mathematical Modeling in the Social Sciences (MA 105)
- Probability and Statistics for Data Science (DS 501)
- Probability and Statistics I (MA 220)
- Probability and Statistics II (MA 320)
- Regression and Time Series Analysis (MA 440)
- Statistics With Applications (MA 151)
- Theoretical Foundations of Computer Science (CS 502)