Fay Zhong Faculty Profile
Fay Zhong
Associate Professor
Department of Computer Science
- E-mail: jiaofei.zhong@csueastbay.edu
- Phone: (510) 885-3437
- Office: SF 550
- Office Hours: Spring 2024 Thursday 11 am - 1 pm (Zoom Office Hour) by appointments
Extended Reality, Data Engineering, STEM Education
- Ph.D., The University of Texas at Dallas
| Course # | Sec | Course Title | Days | From | To | Location | Campus |
|---|---|---|---|---|---|---|---|
| CS 411 | 02 | Automata and Computation | TH | 4:15PM | 5:30PM | SC-N125 | Hayward Campus |
| CS 611 | 01 | Theory of Computation | TH | 9:30AM | 10:45AM | SC-N119 | Hayward Campus |
| CS 692 | 01 | Capstone Examinations | F | 3:00PM | 4:30PM | VBT-0124 | Hayward Campus |
| CS 692 | 02 | Capstone Examinations | F | 3:00PM | 4:30PM | VBT-0124 | Hayward Campus |
Selected Recent Publications:
- S. Clark, E. Kamalinejad, C. Magpantay, S. Sahota, J. Zhong, Y. Hu. A Review of CNN on Medical Imaging to Diagnose COVID-19 Infections. The 34th International Conference on Computer Applications in Industry and Engineering (CAINE'21), October 11th-13th, 2021.
- R. Eskandar, J. Zhong, Y. Hu. Diagnosing COVID-19 Using Convolutional Neural Networks and Deep Learning Approaches. The 7th International Conference on Health Informatics & Medical Systems (HIMS'21), Las Vegas, NV, United States, July 26-29, 2021.
- A. Chidumije, F. Gowher, E. Kamalinejad, J. Mercado, J. Soni, J. Zhong. A Survey of CNN and Facial Recognition Methods in the Age of COVID-19. The 5th International Conference on Information System and Data Mining (ICISDM'21), Silicon Valley, California, United States, May 27th-29th, 2021.
- A. Kim, E. Kamalinejad, K. Madal-Hellmuth, J. Zhong. Deep Learning Based Face Recognition Application with Augmented Reality Devices, the Future of Information and Communications Conference (FICC'20), San Francisco, California, March 5th-6th, 2020.
- D. Haley, E. Kamalinejad, J. Zhong. IsoClustering: A Generalized Framework for Local Data Clustering, the 18th IEEE International Conference on Machine Learning and Applications (ICMLA'19), Boca Raton, Florida, December 16th-19th, 2019.
- J. Zhong. Actively Engage Students with Diverse Background Using a More Personalized Approach, The 48th IEEE Frontiers in Education Conference (FIE'18) Fostering Innovation Through Diversity, San Jose, California, October 3rd-6th, 2018.
- J. Zhong. Designing Adaptive Learning Objects for Enhanced Student Engagement in Data Structures and Algorithms, Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE'18), pp. 1089-1089, Baltimore, Maryland, February 21st-24th, 2018.
- “Collaborative Research: A Technology Pathway Program in Data Technology and Applications,” National Science Foundation, NSF-DUE-1626612, 10/1/2016-9/30/2020.
- “Collaborative proposal: Faculty and Undergraduate Research Student Teams (FURST),” National Science Foundation, NSF-DMS-1620500, 1/1/2017-12/31/2020.
Undergraduate Coordinator: BS Computer Science (Fall 2023)