About Me
My research interest is broadly in the convergence of geospatial data science, computational analytics, operations research, deep learning, and GenAI.
Working Papers
- Ma, Y., Foda, A., Hassini, E., & Mohamed, M. Classifying E-Commerce Vehicle Trajectories Using Vision-Based Representation Learning and LLM-Augmented Metadata Labeling.
- Ma, Y., Hassini, E., & Razavi, S. Impact of Bus Rapid Transit on Freight Movement: A Telematics Approach.
- Ma, Y., Hassini, E., & Razavi, S. Evaluation of Emission Trade-offs in Optimized Urban Truck Routes under Dynamic Traffic.
Publications
- Ma, Y., Liu, C. A., Hassini, E., & Razavi, S. (2024). A Network-Based, Data-Driven Methodology for Identifying and Ranking Freight Bottlenecks. Data Science for Transportation, 6(3), 20. https://doi.org/10.1007/s42421-024-00107-z
- Ma, Y., Amiri, A., Hassini, E., & Razavi, S. (2022). Transportation data visualization with a focus on freight: a literature review. In Transportation Planning and Technology (Vol. 45, Issue 4, pp. 358–401). Informa UK Limited. https://doi.org/10.1080/03081060.2022.2111430
Patent
- Ma, Y., & Liu, C. A. (2024). Systems and methods for identifying and ranking traffic bottlenecks. U.S. Patent Application No. US20240161606A1.
Projects
| Project | Description |
|---|---|
| MBC AI Dashboard | LLM-driven pipeline for sermon analytics, featuring a data dashboard with NLP-based feature extraction and visualization toolkit. |
| WerewolfGPT | Multi-agent LLM system simulating conversational deduction in Werewolf game, leveraging natural language reasoning. |
| TumorRxGPT | LLM fine-tuned on EMRs for tumor phenotyping and treatment recommendation, integrating structured/unstructured data processing. |
| MosaicNFT Generator | C++ optimized mosaic generator using kd-trees for spatial indexing and LUV color space for perceptual similarity matching. |
| TriCount Proof Protocol | Interactive sum-check protocol implementation with prover/verifier for triangle counting in graphs, leveraging polynomial verification. |