08/15/2022
By Sokny Long
The Francis College of Engineering, Department of Electrical & Computer Engineering (ECE), invites you to attend a Ph.D. proposal defense by Dayang Wang on “Machine learning and application to medical imaging & food science.”
Ph.D. Candidate: Dayang Wang
Defense Date: Monday, Aug. 29, 2022
Time: 9:30 to 11 a.m.
Location: This will be a virtual defense via Zoom. Those interested in attending should contact the student (Dayang_Wang@student.uml.edu) or committee advisor (Hengyong_Yu@uml.edu) at least 24 hours prior to the defense to request access to the meeting.
Committee Chair (Advisor): Hengyong Yu, Professor, Electrical and Computer Engineering, University of Massachusetts Lowell
Committee Members:
- Tricia Chigan, Ph.D., Professor, Electrical & Computer Engineering, University of Massachusetts, Lowell
- Yan Luo, Ph.D., Professor, Electrical & Computer Engineering, University of Massachusetts, Lowell
- Thanuka Wickramarathne, Ph.D., Assistant Professor, Electrical & Computer Engineering, University of Massachusetts, Lowell
Abstract:
In recent years, artificial intelligence has been prevailing over various science and engineering fields. Inspired by the great success, the candidate is motivated to engage in the machine/deep learning research and its applications in various fields. In this proposal, the candidate will present what he has done during his Ph.D. studies and what's coming soon. First, he will introduce a new type of machine learning model that can derive the decision boundaries directly from the raw data. Second, he will introduce deep learning application for medical image denoising where we developed a new convolution-free transformer model. Third, he will introduce the application of the deep learning in the lettuce browning prediction field by prototyping a new high-order transformer. Finally, he will present his plan for the dissertation organization, timeline, etc.
All interested students and faculty members are invited to attend the online defense via remote access.