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Safal Thapaliya

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Hello there. I’m a second-year PhD student at the University of Connecticut’s School of Computing, advised by Prof. Chuxu Zhang. My work sits at the intersection of large language models, resource-efficient ML, trustworthy graph neural networks, and AI for healthcare.

Before UConn, I was a research assistant at NAAMII under Dr. Bishesh Khanal, where I worked on vision-language models, medical image segmentation, and object detection, and shipped healthcare AI prototypes alongside KIAS and Dr. Taman Upadhaya. I earned my B.E. in Computer Engineering from IOE, Pulchowk Campus in 2022. Earlier, I was a founding developer at Clamphook (2019–2022) and interned at Logpoint on Linux server administration and distributed log handling.


Publications

* indicates equal contribution

Safal Thapaliya*, Zehong Wang*, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang

arXiv pre-print

Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal

Asian Conference on Computer Vision (ACCV 2024)
Oral Presentation

Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

Kanchan Poudel*, Manish Dhakal*, Prasiddha Bhandari*, Rabin Adhikari*, Safal Thapaliya*, Bishesh Khanal

Medical Imaging in Deep Learning 2024
Oral Presentation

For a complete list of publications, see my Google Scholar.


Projects

AI Assisted Smartphone Microscopy (2024)

Built and deployed a role-based web platform that enabled multi-site collection and annotation of 400K+ microscopic images using Django; benchmarked state-of-the-art object detection models for parasite detection on these images.

Lower Limb Angle Measurement for Corrective Osteotomy (2023)

Built and deployed a CT-scan-based pipeline using U-Net/nnU-Net for bone segmentation and landmark detection to automatically compute lower-limb alignment angles, containerized with Docker and served via Flask for clinical-style use.

Public Discourse Analysis System (2022)

Architectured a real-time tweet analysis platform using Flask and MongoDB; containerized the application with Docker for scalable deployment.