Public Lecture on Challenges in Smart Patient Monitoring

The Department of Mathematical Sciences presents a public lecture, "Challenges in Smart Patient Monitoring: from Raw Data to Decision Support," by Sabine Van Huffel of KU Leuven, Belgium, at 6 p.m., Wednesday, May 4, in the Reynolds Center Auditorium.

The talk is part of the 47th annual Spring Lecture Series which includes:

• 15 lectures
• Public lecture
• Contributed talk and poster sessions
• Women in STEM panel

Van Huffel is the full professor of biomedical engineering at the Department of Electrical Engineering (ESAT) of the KU Leuven (period: 2002-2020) and programme director of the Bachelor-Master of Science in Biomedical Engineering KU Leuven (period: 2016-2020). Since October 1, 2020, she has been a professor emerita with duties. She received a master's degree in computer science engineering, a postgraduate in biomedical engineering and a Ph.D. in electrical engineering from the KU Leuven in 1981, 1985 and 1987, respectively. She extended her Ph.D. research on Total Least Squares fitting to a popular book (The Total Least Squares Problem, SIAM, 1991). She was a guest professor at Stanford University in 2000 and at Uppsala University, Sweden, in 2002. She is IEEE, SIAM and EAMBES founding fellow and member of the Royal Flemish Academy of Belgium for Sciences and the Arts. In April 2013 she received an honorary doctorate from Eindhoven University of Technology, Netherlands, together with an appointment as a Distinguished Professor (period: 2014-2020).

She has built up a large biomedical data processing research group (more than 30 people) renowned for their expertise in numerical (multi)linear algebra, biosignal processing, machine learning & AI, as well as the development of numerical algorithms and software and their applications in biomedical multimodal and multichannel processing for improving medical diagnostics. In these fields she supervised more than 80 PhDs. In 2014-2019 she was awarded an ERC advanced grant BIOTENSORS (no. 339804), entitled "Biomedical Data Fusion using Tensor based Blind Source Separation."

The event is free and open to the public, but registration is required for participation. There is a reception before the talk. For more information and registration, please visit the conference website.

This lecture series is organized by Tulin Kaman, assistant professor and Lawrence Jesser Toll Jr. Endowed Chair of Mathematical Sciences, and supported by the National Science Foundation and the U of A's Department of Mathematical Sciences.