I'm a Ph.D. student at the University of Washington, advised by Professor Dongfang Zhao. My research focuses on the intersection of database systems and data retrieval. I develop efficient indexing techniques to optimize data retrieval strategies in large-scale vector databases.
Research Areas: Database Systems, Large-Scale Data Management, Information Retrieval, Indexing Techniques
Current Research
I am currently researching advanced indexing and search techniques.
NexusIndex: A Self-Optimizing Multimodal Framework for Fake News Detection with Dynamic Indexing and Retrieval
NexusIndex is a self-optimizing multimodal framework that integrates multi-model embeddings, attention mechanisms, and a FAISSNexusIndex layer. It enables efficient fake news detection by combining dynamic vector indexing and real-time retrieval.
Accepted at IEEE MIPR 2025 (Multimedia Information Processing and Retrieval)
This research introduces VecLSTM, a hybrid framework that enhances trajectory prediction by integrating vectorization techniques and a CNN-LSTM architecture. It efficiently processes trajectory data, significantly improving both accuracy and training time over traditional LSTM models.
Efficient Feature Extraction for Image Analysis through Adaptive Caching in Vector Databases This research introduces a caching subsystem leveraging in-memory vector databases to enhance the efficiency of image feature extraction. Using advanced models like MobileNetV3 and ResNet50, the framework integrates batch insertion and parallel processing to optimize computational performance.
This research focused on using deep neural networks and hierarchical clustering to predict chaotic transitions in natural convection systems, specifically in the Lorenz system.
Conference & Journal Reviewing
- Reviewer, ACM Web Conference 2025 (The Web Conference, formerly WWW)—Review Area: Search and Retrieval-Augmented AI
- Reviewer, IEEE eScience 2025
- Reviewer, IPDPS 2025 (IEEE International Parallel & Distributed Processing Symposium)
- Reviewer, ICDCS 2025 (IEEE International Conference on Distributed Computing Systems)
- Reviewer, CIKM Conference 2024 (ACM International Conference on Information and Knowledge Management)
- Reviewer, Journal of Big Data (2024–2025)
Teaching Experience
Lecturer — North Seattle College
Department of Math & Science
September 2023 – Present, Seattle, WA
• CSC 110: Python Programming
• CSC 142: JAVA Computer Programming I (LEC)
Instructor Page
Lecturer — Central Washington University
Department of Computer Science
September 2022 – 2023, Ellensburg & Des Moines, WA
• CS380: Software Engineering (Java and Project Management)
• CS470: Operating Systems (Online – C, C++, and Linux)
Education
I received my second Master’s degree in Information Technology Infrastructure from Illinois Institute of Technology, Chicago, USA, with a 4.0 GPA. I also received a Master’s degree in Data Science, where my thesis focused on providing a model for optimizing customer value at the contact center. Additionally, I completed a Bachelor's degree in Computer Software Engineering.