During their thesis defense, PhD candidates introduce and motivate the problems they attacked during their course of studies, defend the novelty and significance of their research, and contextualize their contributions within their field. This is the final step in the process of obtaining a PhD, and a successful defense indicates the acknowledgment of the doctoral #committee that the candidate is an expert in their field. The defense talks are open to all members of the RPI community, and we welcome those interested to attend.
Computer Science Thesis Defense - Quitong Wang
Name: Qitong Wang
Advisor: Prof. Mohammed J. Zaki
Enhanced Text Embeddings and Language Models: Integrating Word Senses and Lexical Relationships with Knowledge Distillation
Computer Science Thesis Defense - Linh Tran
Name: Linh Tran
Advisors: Ana Milanova and Stacy Patterson
Private and Efficient Federated Learning: Empowering Data-Sensitive Sectors
Abstract:
Computer Science Thesis Defense - Zhenhan Huang
PhD Candidate: Zhenhan Huang
Advisor: Prof. Jianxi Gao
Meta Learning of Deep Learning Models Through Architecture Design and Optimization
Abstract:
Computer Science Thesis Defense - Brandon Rozek
Name: Brandon Rozek
Advisor: Selmer Bringsjord
Title: Towards Automated Planning and Goal Recognition under Qualitative Uncertainty
