faculty
Hua Fang, PhD
Professor
Computer & Information Science
Contact
508-910-6411
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Violette Research 220B
Education
2006 | Ohio University | PhD in Statistics |
2006 | Ohio University | MA/ MFE in Financial Economics |
1998 | Sichuan International Studies University, Chongqing, China | BA in Business, English |
Teaching
Programs
Programs
- Computer Science BS, BS/MS
- Computer Science Cybersecurity
- Computer Science Graduate Certificate
- Computer Science MS
- Data Science BS, BS/MS
- Data Science Graduate Certificate
- Data Science MS
- Engineering and Applied Science PhD
- Mobile Applications Development
- Software Engineering
Teaching
Courses
Graphics devices. Two dimensional and three dimensional image representations and transformations. Graphics systems software architecture; graphics standards; packages.
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.
Research
Research interests
- Machine learning/ statistical learning/ pattern recognition
- Computational statistics
- Behavioral trajectory pattern recognition in longitudinal studies
- Wireless health
Additional links
Latest from Hua
Mentioned in
- May 18, 2022 Salvador Balkus '22: A data-driven mindset
- Dec 20, 2021 Year in Review: Top 21 stories of 2021
- Aug 11, 2021 UMass Dartmouth faculty member receives prestigious National Institutes of Health grant
- Mar 10, 2021 Professor receives patent for breakthrough invention
- Jun 17, 2020 College of Engineering professors receive $452,178 research grant from the National Institute of Health for development of statistical learning tool
- May 19, 2020 Increasing the safety of self-driving vehicles