On Thursday, February 13, 2025, the AY 2024 Spring Doctoral Dissertation Presentations were held.

13 students gave presentations on the achievements of their doctoral research at the Graduate School of Computer Science and Engineering. After the introduction of the students, each student gave a presentation as the culmination of his/her research. Faculty and administrative personnel, and current UoA students in attendance listened to the presentations with great interest.

Following the presentations, there was a lively exchange of questions and answers. At the end, their research advisors honored the students' research achievements, and gave them words of encouragement expecting their success in the future as researchers.

The names of the students and the titles of their dissertations are listed below.

Name

Supervisor

Title

LI Qin

Prof. CHEN, W.

Cardiac Computer Simulation and Its Parallelization

WANG Zitong

Prof. PEI, Y.

A Study on Search Strategy of Evolutionary Multi-Objective Optimization Algorithms

QIU Chen

Prof. SU, C.

Communication-Efficient and Trustworthy IoT Information Systems Based on Federated Edge Computing

LI Pengzhi

Prof. PEI, Y.

Study on Fusion Technology of Kernel Method and Autoencoder

GUO Enting

Prof. SU, C.

Scalable and Efficient Approaches for Deep Learning Security

PENG Boyuan

Prof. HUANG, J.

Deep Learning Based Segmentation and Classification of MRI and Ultrasound Medical Images

PINKL, James Jonathon

Prof. VILLEGAS, J.

Didactic Application of Extended Reality for Drumming and Polyrhythms

LIU Xinkai

Prof. HUANG, J.

Computer-Aided Analysis of Renal Pathological Images Using Deep Learning

SUN Yao

Prof. CHEN, W.

Computer Simulation of Unipolar and Bipolar Radiofrequency Ablation

WANG Yanan

Prof. PEI, Y.

Study on Sound Synthesis and Analysis With Human Factors Using Interactive Computational Intelligence Methods

WENG Weihao

Prof. CHEN, W.

Segmentation and Classification for Flexible Endoscopic Evaluation of Swallowing

AMIN Md Faizul Ibne

Prof. WATANOBE, Y.

Program Code Analysis Techniques Using Machine Learning and Large Language Models for Programming Activities

JIA Lei

Prof. YEN, N. Y.

Fusion of Domain Knowledge and Data-Driven Methods for Modeling and Predicting Complex Spatiotemporal Dynamic Environmental Systems

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