Viet Pham ☕️
Viet Pham

Research @JHU | CS @TUM

Computer science student with a strong interest in AI and computer vision, particularly in their applications to modern medicine and broader societal challenges. Currently part of the IMERSE Lab at Johns Hopkins University to conduct research for my Master’s Thesis.

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Experience

  1. Visiting Graduate Scholar

    Johns Hopkins University

    Part of the Intelligent Medical Robotic Systems and Equipment (IMERSE) Lab:

    • Research for Master’s thesis on imitation-learning-based nephrectomy
    • Software Engineering for medical robotics

  2. Working Student - Research & Innovation

    Carl Zeiss AG

    Part of the Corporate Research Team in Karlsruhe (CRT-KM):

    • Software Engineering for medical robotics and assistance systems for ophthalmology
    • Reinforcement Learning in medical simulation environments

  3. Intern - Research & Innovation

    Carl Zeiss AG

    Part of the Corporate Research Team in Karlsruhe (CRT-KR):

    • Software Engineering for medical robotics and assistance systems for ophthalmology
    • Reinforcement Learning in medical simulation environments
    • Performing robotic experiments in the lab
    • Modelling and prototyping using 3D printers
    • Contributed to a paper submission to the IEEE ICRA 2024 as a co-author

  4. Student Research Assistant

    Karlsruhe Institute of Technology

    Part of the Laboratory for Health Robotics and Automation (HERA) at the Institute of Anthropomatics and Robotics (IAR) at KIT:

    • Performing semantic image segmentation using computer vision and machine learning methods such as OpenCV and U-Net CNN
    • Porting the magnetic continuum robot (m-CR) simulator developed at ETH Zurich to apply reinforcement learning

  5. Working Student - Software / Data Engineer

    apic.ai GmbH
    • Development of ETL data pipelines for cloud-based video data analysis using AI, processing more than 35 TB annually (Apache Airflow, Celery)
    • Optimization of the Kubernetes cluster with up to 256 NVIDIA GPU instances (Google Kubernetes Engine, Amazon EKS)
    • Setting up an IoT infrastructure to process incoming data from numerous beehives throughout Germany (Mainflux, Node-RED, MQTT)
    • Developing and deploying microservices via Docker and Kubernetes
    • Management of relational databases (PostgreSQL, Amazon RDS)
    • Migration of the entire cloud infrastructure from Google Cloud to AWS

Education

  1. Technical University of Munich

    Master of Science (TUM), Computer Science
    Focus Area: Artificial Intelligence in Medicine

  2. Johns Hopkins University

    Master's Thesis
    Topic: Imitation-learning based partial nephrectomy

  3. Karlsruhe Institute of Technology

    Bachelor of Science, Computer Science

    Bachelor’s Thesis:

    • Topic: Reinforcement Learning for laparoscopic tissue retraction during the cholecystectomy procedure
    • Task: Training a laparoscopic grasper to perform a tissue retraction task using Deep-RL in a cholecystectomy simulation environment based on Unity
    • Grade: 1.0
Publications
Highly Accurate Real-time Surgical Scene Rendering using Gaussian Surfels
2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ∙ November 2025
Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning
2024 IEEE International Conference on Robotics and Automation (ICRA) ∙ August 2024