Chaoming Wang
Doctoral Student
Department of Computer Science
Room J3322, Karlskrona
Research domain: Computer Science
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Chaoming Wang is a Ph.D. student in Computer Science at Blekinge Institute of Technology. The focus of her Ph.D. study is to assess visual analytics solutions for intelligent realities. She obtained MSc in Computer Science from Chalmers University of Technology (2023),with a focus on Data Science and AI, and she holds a BSc in Automation from Donghua University, China (2020). Her diverse background spans electrical engineering, automation, and computer engineering. Her research interest lies at the convergence of machine learning, computer vision, and visualization techniques from industry to arts.
Latest publications
- Veronica Sundstedt, Yan Hu, Patrik Arlos, Shahrooz Abghari, Prashant Goswami, Kurt Tutschku, Majed Elwardy, Chaoming Wang, Bowen Qin, "Human-Centered Intelligent Realities Laboratory", Proceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025
- Chaoming Wang, Veronica Sundstedt, Valeria Garro, "Generative Artificial Intelligence for Immersive Analytics", Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, ISSN 2184-5921, EISSN 2184-4321, pp. 938-946, SciTePress, 2025
Completed projects
No information available