Sofie Van Hoecke
Sofie Van Hoecke graduated from the Engineering Department from the Ghent University in 2003. Following up on her studies in computer science, she achieved a PhD in computer science engineering at the Department of Information Technology at the same university on Efficient service management in healthcare. After being a postdoctoral research engineer at the Department of Information Technology, she started as lecturer ICT and ICT research coordinator at the University College West-Flanders. Currently, she is associate professor at Ghent University, IDLab - Data Science Lab. Her specialties are: multi-sensor and service oriented architectures, novel services, condition monitoring, emotion recognition, machine learning, semantic dashboards, and the fusion of machine learning and semantic technologies, applied in both predictive maintenance and predictive healthcare.
Keywords: hybrid modelling, fusion of machine learning and semantics, fusion of machine learning and physical modelling, dynamic dashboards, expert-driven machine learning
Janssens, Olivier, Rik Van de Walle, Mia Loccufier, and Sofie Van Hoecke. 2018. “Deep Learning for Infrared Thermal Image Based Machine Health Monitoring.” Ieee-asme Transactions on Mechatronics 23 (1): 151–159.
Janssens, Olivier, Mia Loccufier, Rik Van de Walle, and Sofie Van Hoecke. 2017. “Data-driven Imbalance and Hard Particle Detection in Rotating Machinery Using Infrared Thermal Imaging.” Infrared Physics & Technology 82: 28–39. Impact factor: 1.851, category: PHYSICS, APPLIED, rank: 68/146.
Janssens, Olivier, Viktor Slavkovikj, Bram Vervisch, Kurt Stockman, Mia Loccufier, Steven Verstockt, Rik Van de Walle, and Sofie Van Hoecke. 2016. “Convolutional Neural Network Based Fault Detection for Rotating Machinery.” Journal of Sound and Vibration 377: 331–345. Impact factor: 2.593, category: ACOUSTICS, rank: 5/31.
Janssens, Olivier, Nymfa Noppe, Christof Devriendt, Rik Van de Walle, and Sofie Van Hoecke. 2016. “Data-driven Multivariate Power Curve Modeling of Offshore Wind Turbines.” Engineering Applications of Artificial Intelligence 55: 331–338. Impact factor: 2.894, category: ENGINEERING, MULTIDISCIPLINARY, rank: 14/85.
Janssens, Olivier, Raiko Schulz, Viktor Slavkovikj, Kurt Stockman, Mia Loccufier, Rik Van de Walle, and Sofie Van Hoecke. 2015. “Thermal Image Based Fault Diagnosis for Rotating Machinery.” Infrared Physics & Technology 73: 78–87. Impact factor: 1.588, category: INSTRUMENTS & INSTRUMENTATION, rank: 24/56.