Ph.D. Student · Civil Engineering (Transportation) · University at Buffalo
I study how pedestrians, drivers, and micromobility users perceive and interact with vehicles — at the intersection of transportation safety, human factors, and AI.
Immersive Experiments Capturing Behavioral And Physiological Responses In Simulated Urban Environments
Vision-Language Models For Scene Understanding, Intent Inference, And Automated Behavioral Annotation
How Pedestrians, Drivers, And Micromobility Users Perceive And Interact With Vehicles
I am a Ph.D. student in Civil Engineering (Transportation) at the University at Buffalo, advised by Dr. Austin Valentine Angulo in the TRAVL Lab. My work draws on Virtual Reality (VR), Computer Vision, and physiological sensing to study behavior and emotional response in simulated urban environments, leveraging Vision-Language Models (VLMs) for scene understanding and intent inference.
| Category | Tools & Technologies |
|---|---|
| Programming | Python, C#, C++, Julia, JavaScript |
| AI / ML | PyTorch, Deep Learning, Reinforcement Learning, VLMs |
| Simulation | VR (Unity, Unreal Engine), VISSIM, SUMO |
| Sensing / Biometrics | EEG, Eye-tracking, Physiological sensing |
| Statistics | Mplus, SPSS, STATA |
| GIS & Design | QGIS, ArcGIS, AutoCAD, SketchUp, Adobe Suite |