The Biomedical Artificial Intelligence & Robotics (BAIR) Lab, National Taiwan Normal University (NTNU), is now recruiting senior college students (3rd and 4th year) and master students to do internships in 2022/2023.

The internship duration is quite flexible and can be determined in consultation with each candidate. The BAIRLab, supervised by Dr. Cheng-Kai Lu, is engaged in developing tailor-made artificial intelligence (AI) solutions for biomedical applications and robotics. In particular, the BAIR Lab closely cooperates with international R&D teams from the UK (Edinburgh University), Malaysia (Universiti Teknologi PETRONAS, UTP; UCSI University, UCSI), Singapore (Tan Tock Seng Hospital), India (Amity University Noida) individually in three aspects of research works: music therapy (MT) robot, explainable artificial intelligence (XAI), and federated learning (FL)for diagnosis of Ophthalmic Diseases. Conducting these projects will allow us to realize "cross-domain innovation" and "smart health" and to nurture a new generation of AI talents for Taiwan and the world. A multimodal emotion recognition for AI robotic system, an FL framework for retinal fluid and layer segmentation model, and their corresponding XAI system are currently under investigation. To achieve these objectives, several critical techniques, including object detection, audio+/video emotion recognition, development of FL algorithms and deployment of Internet of Things (IoT) devices, and XAI methods (i.e., case-based reasoning) are required.

Participating students can have the opportunity to build knowledge in deep learning and robotics, IoT to design, build and test the corresponding developed system. Students are expected to work with fellow students here at BAIR Lab under the guidance from a mentor. The students are expected to produce solid research results and write a report before the end of the internship. After the internship, those with excellent research capabilities can receive financial support to pursue their postgraduate studies at NTNU.

  • Contact Person:Prof. Cheng-Kai Lu
  • Phone:+886(0)27749-3554