Klaske van Heusden

Assistant Professor

Mechanical, School of Engineering
Office: EME 4286
Phone: 250.807.8596
Email: klaske.vanheusden@ubc.ca

Graduate student supervisor



Research Summary

Data-driven and learning control; system identification; control of robotics and mechatronic systems; emerging applications in agriculture and health care

Biography

Klaske van Heusden is an assistant professor in Mechanical Engineering at the School of Engineering at The University of British Columbia (Okanagan campus). Her research enables high performance and high precision in robotics and mechatronics through data-driven and learning control. Her work on emerging applications in agriculture and health care uses sensor and control technology to improve sustainability, safety and health outcomes.

Dr. van Heusden earned her PhD at the EPFL, the Swiss Federal Institute of Technology in Lausanne, where she developed the first data-driven feedback-controller design method that guarantees closed-loop stability.  She holds an MSc (Mechanical Engineering) from Delft University of Technology in the Netherlands. Dr. van Heusden was a postdoctoral fellow at the University of California, Santa Barbara, where she worked on algorithms for the artificial pancreas.

Prior to joining the School of Engineering, Dr. van Heusden led interdisciplinary biomedical research projects at UBC in the Department of Electrical and Computer Engineering. In her roles as postdoctoral fellow and research associate, she developed a robust closed-loop device for administering anaesthesia. Most recently, she has been working on sensing and control for robotic welding.

Degrees

PhD – EPFL, Swiss Federal Institute of Technology in Lausanne, Switzerland (Control Engineering)
MSc – Delft University of Technology, The Netherlands (Mechanical Engineering)

Research Interests & Projects

Systems & control engineering

Data-driven and learning control

System identification

Student Opportunities

Dr. van Heusden is looking to recruit MSc and PhD students in the field of data-driven and learning control. Interested candidates can email Dr. van Heusden, providing their motivation, objectives and CV.

Professional Services/Affiliations/Committees

Professional Engineer (PEng), Engineers and Geoscientists BC

 

Apologies, but no results were found.