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Summary
My research lies at the intersection of Computer Vision and Systems, advancing Edge Intelligence for XR, 3D reconstruction, and multimodal sensing. I design frameworks that combine vision, depth, wireless, and inertial data with system-level components such as WiFi, MEC, SDN, and O-RAN to achieve low-latency, privacy-preserving, and disruption-resilient performance. The broader goal of my work is to enable trustworthy, scalable, and real-time intelligence for healthcare, disaster response, and next-generation immersive environments.
Research Interests
- Edge Intelligence and Distributed System Design
- Multimodal AI Fusion (Vision, Depth, CSI, Inertial)
- XR and 3D Reconstruction in Resource-Constrained Environments
- Resilient, Privacy-Preserving, and Low-Latency Edge–Cloud AI
- Applications in Healthcare, Disaster Response, and Immersive Systems
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News
- 2026-01-26: Website updated with PhD vs collaboration publication grouping.
- 2025-10: MASS 2025 paper on reliable multi-view 3D reconstruction listed on Publications.
- 2025-10: CNSM 2025 papers listed on Publications.
- 2025-10: LCN 2025 paper listed on Publications.
- 2025-05: MobiHoc XR Workshop 2025 paper listed on Publications.
- 2024-12: SEC 2024 poster listed on Publications.
- 2025: Adjunct Lecturer, Hunter College (Computer Architecture).
- 2025: Graduate TA, Hunter College (Operating Systems, Computer Architecture).
- 2023-present: Graduate Research Assistant, CUNY Graduate Center.
- 2025: Frontiers AI dengue framework published (collaboration).
- 2025: MDPI Future Internet YOLOv8 vehicle stabilization paper published (collaboration).
- 2025: IEEE ICNC paper on CDN optimization published.