Solmaz Seyed Monir

Solmaz Seyed Monir

PhD Student, University of Washington

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.

Vector Search Illustration
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search

VectorSearch enhances document retrieval by leveraging advanced embeddings, multi-vector search operations, and indexing techniques to improve retrieval accuracy, particularly in large-scale tasks.

[paper] 2024

VecLSTM Research Diagram
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration

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.

[View PDF – 2024]

Efficient Feature Extraction Illustration Efficient Feature Extraction Illustration 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.

ICICT 2024

Time Series Research
Enhanced Chaotic Transition Prediction Using Hierarchical Clustering for the Lorenz System

This research focused on using deep neural networks and hierarchical clustering to predict chaotic transitions in natural convection systems, specifically in the Lorenz system.

IMECE 2023

Conference & Journal Reviewing

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.