Delin An

Delin An

Ph.D. Candidate at University of Notre Dame

Research Profile

I am a Ph.D. Candidate in Department of Computer Science and Engineering at the University of Notre Dame, advised by Prof. Chaoli Wang. I hold a B.Eng. and an M.Eng. in Mechanical Engineering from UESTC and Xi’an Jiaotong University.

My research focuses on data-efficient generative modeling (diffusion), segmentation-guided learning, and representation learning that tightly couples images, masks, and geometry. Looking ahead, I aim to integrate geometry- and graphics-aware AI with robotic visual perception and control, and to leverage large language models to program and coordinate wearable devices and robots—toward reliable, uncertainty-aware, end-to-end systems that bridge medical imaging and embodied intelligence.

Awards & Fellowships

Only CSE

SAI Graduate Fellowship Pilot

University of Notre Dame · 2025

Inaugural pilot; first and only recipient from the Department of Computer Science & Engineering (CSE).

Graduate Professional Development Award

University of Notre Dame · 2025

Professional development support for graduate research and training.

Education

Education — Two-Row Layout
Current

University of Notre Dame

09/2022 — Present · Department of Computer Science & Engineering

Ph.D. Student in Computer Science and Engineering GPA 3.8 / 4.0

  • Research interests: advanced AI methodologies for medical imaging, 3D modeling, and computer graphics.
  • Awards: SAI Graduate Fellowship (Spring 2025); Zahm Professional Development Fund (Spring 2025).
Completed

Xi’an Jiaotong University (XJTU)

09/2019 — 06/2022 · School of Mechanical Engineering

M.Eng. in Mechanical Engineering GPA 86.28 / 100

  • Research area: design and visual perception study of lower-limb ankle cable-driven exoskeleton.
  • Honors: Special Scholarship (2019); First-Class Scholarship (2020).
  • Awards: 3rd Prize, National Graduate Robotics Contest; Grand Prize, Robot Creativity Contest.
Completed

University of Electronic Science and Technology of China (UESTC)

09/2015 — 06/2019 · School of Mechanical Engineering

B.Eng. in Mechanical Engineering GPA 3.61 / 4.0 Top 10%

  • Research area: system design and key technology of the main transmission of machine tools.
  • Honors: Outstanding Graduate (2019); People’s Second Scholarship (2017); People’s Third Scholarship (2016).

Publications

  1. AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation VIS 25
    AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation
    Delin An, Pan Du, Jian-Xun Wang, Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026.
    PDF
  2. AI-powered automated model construction for patient-specific CFD simulations of aortic flows Sci. Adv.
    AI-powered automated model construction for patient-specific CFD simulations of aortic flows
    Pan Du*, Delin An*, Chaoli Wang, Jian-Xun Wang
    Science Advances
    PDF ⭐ Equal Contribution (Co-First Author)
  3. SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization TVCG
    SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization
    Delin An, Chaoli Wang
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.
    PDF Code
  4. Hierarchical LoG Bayesian neural network for enhanced aorta segmentation ISBI
    Hierarchical LoG Bayesian neural network for enhanced aorta segmentation
    Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang
    IEEE International Symposium on Biomedical Imaging (ISBI), 2025.
    PDF Code
  5. Sli2Vol+: Segmenting 3D medical images based on an object estimation guided correspondence flow network WACV
    Sli2Vol+: Segmenting 3D medical images based on an object estimation guided correspondence flow network
    Delin An, Pengfei Gu, Milan Sonka, Chaoli Wang, Danny Z Chen
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
    PDF Code
  6. Research on Lower Limb Rehabilitation Exoskeleton Control based on Improved Dynamic Motion Primitives ICARM
    Research on Lower Limb Rehabilitation Exoskeleton Control based on Improved Dynamic Motion Primitives
    Xian Yue, Aibin Zhu, Peifeng Ma, Delin An, Diyang Dang, Yulin Zhang
    IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2022.
    PDF
  7. Environmental obstacle detection and localization model for cable-driven exoskeleton UR
    Environmental obstacle detection and localization model for cable-driven exoskeleton
    Delin An, Aibin Zhu, Xian Yue, Diyang Dang, Yulin Zhang
    IEEE International Conference on Ubiquitous Robots (UR), 2022.
    PDF
  8. The Design and Implementation of Human Motion Capture System Based on CAN Bus UR
    The Design and Implementation of Human Motion Capture System Based on CAN Bus
    Xian Yue, Aibin Zhu, Jiyuan Song, Guangzhong Cao, Delin An, Zhifu Guo
    IEEE International Conference on Ubiquitous Robots (UR), 2020.
    PDF

Recent News

[2025.08] Our Science Advances paper "AI-powered automated model construction for patient-specific CFD simulations of aortic flows" has been published.
[2025.07] AortaDiff is accepted to IEEE VIS 2025!
[2025.06] SurfPatch appears in IEEE TVCG (PacificVis 2025 issue).
[2025.04] Presented LoGB-Net at IEEE ISBI 2025 (Houston; Apr 14–17).
[2025.02] Sli2Vol+ appears in the WACV 2025 proceedings.
[2025.01] Received the Graduate Professional Development Award from the University of Notre Dame.
[2024.12] Selected for the SAI Graduate Fellowship Pilot at the University of Notre Dame.

Funding & Support

Supported by the SAI Graduate Fellowship Pilot (University of Notre Dame). I am grateful to Dr. Emily Johnson and Don Brower for mentorship through SAI and for their guidance and encouragement during the writing of AortaDiff. I also thank Prof. Jian-Xun Wang (Cornell University) for generous collaboration across our joint projects, and Prof. Danny Chen for guidance on Sli2Vol+.