Bangyu Lan
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Ph.D Student |
About me
I am a Ph.D student from RAM Lab, University of Twente, supervised by Dr. Ir. Kenan Niu.
In my research, I am fond of exploring new directions for building robust, transferable and powerful robotics intelligence. Inspired by human's intention, perception, and kinematics, the working mechanism could be transferred from human to robotics.
Before joining RAM lab, I have one year research experience doing audio-visual generation using Deep Learning on Action Lab and DeFake Group, supervised by Dr. Yu Kong and Dr. Matthew Wright. I am deeply grateful to them for any guidance, efforts and supports! Hope everything is going well with them!
I received my bachelor's degree in Electronic Engineering from School of Information Science and Engineering at Harbin Institute of Technology in 2020. I gain broad knowledge in various signals processing and system analysis there.
News
[2024-09] Start Ph.D career in UTwente!
[2024-04] Graduate as a Master Student, unlocking Ir. title!
[2023-02] Doing research about ultrasound signal recognition, supervised by Dr. Kenan Niu.
[2022-09] Move to University of Twente for Master study.
[2022-05] Pass the Research Potential Assessment for Ph.D. students!
[2021-09] Remote research on audio-visual generation task
[2021-05] I am proud to join in Action Lab and DeFake Group, RIT!
[2020-06] Receive the Outstanding Undergraduate Thesis and the HIT Outstanding Graduate Award!
Working Experience
Research assistant at Action Lab and DeFake Group, Rochester Institute of Technology. (Sep. 2021 to Jan. 2023)
Worked on DeepFake Generation.
Professional Activities
Conference Reviewer of ICRA2024, ICCV2022, CVPR2022, AAAI2022, ACM Multimedia2022, etc.
Journal Reviewer of IJCARS in 2025.
Social Media Reporter of Dutch BME 2025 Conference.
Teaching Experience
Teaching Assistant of the following courses:
202400338, AI & Image Processing, Spring 2025.
202200103, Image Processing and Computer Visio, Autumn 2024.
201200168, Segmentation and Visualisation, Spring 2024.
CSCI-631, Foundations of Computer Vision, Spring 2022. at Rochester Institute of Technology