Meet The Team

Sofie Van Hoecke logo

Sofie Van Hoecke

Professor

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Associate professor at UGent-imec. Lead of the PreDiCT research team of IDLab, UGent-imec. Coordinating the research on predictive maintenance and predictive healthcare.

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Femke Ongenae

Professor

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Associate professor at UGent-imec. Co-lead of the PreDiCT research team of IDLab, UGent-imec. Coordinating the research on predictive maintenance and predictive healthcare.

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Diego Nieves Avendano

Postdoctoral researcher

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PhD promotion December 2022. PhD topic was “Towards Machine Learning-Based Predictive Maintenance in Industry Using Vibration and Acoustic Data”. Doing research on the potential of AI for neuromodulation. Supervised by Sofie Van Hoecke and Femke Ongenae.

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Bram Steenwinckel

Postdoctoral researcher

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PhD promotion January 2023. PhD topic was “Knowledge Graph Creation and Embedding to Realize Explainable Hybrid AI Applications”. Doing research and project management on context-aware and hybrid AI for health. Supervised by Femke Ongenae and Sofie Van Hoecke.

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Mathias De Brouwer

Postdoctoral researcher

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PhD promotion August 2023. PhD research was on semantic reasoning on data streams in complex IoT contexts. Doing research and project management on behavioral monitoring apps, cloud and dynamic dashboards for health. Supervised by Femke Ongenae and Sofie Van Hoecke.

Jeroen Van Der Donckt logo

Jeroen Van Der Donckt

Postdoctoral researcher

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PhD promotion December 2023. Machine learning research on different projects related to predictive healthcare. Supervised by Sofie Van Hoecke.

Marija Stojchevska logo

Marija Stojchevska

Postdoctoral researcher

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PhD promotion December 2023. Postdoctoral researcher on using wearables for user behavior modelling and predictive healthcare. Supervised by Sofie Van Hoecke and Femke Ongenae.

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Anahita Rouze

Visiting postdoctoral researcher

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Visiting postdoctoral researcher and intensivist. PhD promotion June 2024. Doing research on exploring the heterogeneity of suspected ventilator-associated pneumonia among critically ill patients using machine learning techniques to optimize empiric antibiotic treatment use. Supervised by Jan De Waele and Sofie Van Hoecke.

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Pieter Moens

Postdoctoral researcher

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PhD promotion September 2024. PhD research was on Industry 4.0 and cloud infratructures to bring data from the sensor to the dashboard. Doing research on leak detection and project management on dynamic dashboard. Supervised by Sofie Van Hoecke and Femke Ongenae.

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Nathan Vandemoortele

Researcher

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Machine learning research on different projects related to predictive maintenance. Supervised by Sofie Van Hoecke.

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Nicolas Vandenbussche

Doctoral researcher

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PhD research on hybrid machine learning and the potential of wearables for improved migraine management. Supervised by Koen Paemeleire and Sofie Van Hoecke.

Colin Soete logo

Colin Soete

Doctoral researcher

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PhD research on predictive maintenance. Supervised by Sofie Van Hoecke and Bruno Volckaert.

Emiel Deprost logo

Emiel Deprost

Doctoral researcher

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PhD research on fixed and mobile sensors for feature and event detection in smart homes (fixed sensors) and outdoors (grassland - UAV footage/mobile sensors). Supervised by Sofie Van Hoecke and Peter Lambert.

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Jonas Van Der Donckt

Doctoral researcher

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PhD research on effective time series data wrangling applied to wearables (and speech) for user behavior modelling in ambulatory settings. Supervised by Sofie Van Hoecke.

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Michael Weyns

Doctoral researcher

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PhD research on hybrid and explainable AI for the Internet of Things (IoT) domain. Supervised by Femke Ongenae and Filip De Turck.

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Jelle Van Haeverbeke

Doctoral researcher

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Doctoral researcher working on machine vision and applications. Supervised by Steven Verstockt and Sofie Van Hoecke.

Matthias Van Onsem logo

Matthias Van Onsem

Doctoral researcher

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PhD research on context-aware anomaly detection in network data. Baekeland PhD in collaboration with Skyline Communications. Supervised by Sofie Van Hoecke and Dennis Dreesen (Skyline Communications).

Stijn Verstichel logo

Stijn Verstichel

Senior developer

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Senior developer and postdoctoral researcher working on the dynamic dashboard back-end. Supervised by Femke Ongenae.

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Emile Deman

Project researcher

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Machine learning research on different projects related to predictive maintenance. Supervised by Sofie Van Hoecke.

Jarne Verhaeghe logo

Jarne Verhaeghe

Doctoral researcher

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PhD research on hybrid machine learning for antibiotic therapy management in the intensive care. Supervised by Sofie Van Hoecke, Jan De Waele and Femke Ongenae.

Peter Ward logo

Peter Ward

Doctoral researcher

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PhD research on the design and development of an AI-driven digital pathology device. Supervised by Sofie Van Hoecke, Bruno Levecke (veterinary science, UGent) and Lieven Stuyver (JnJ).

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Stef Pletinck

Developer

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Developer on our dynamic dashboard and mBrain app, as well as dashboard cluster management. Supervised by Sofie Van Hoecke.

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Thibault Blyau

Doctoral researcher

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PhD research on hybrid machine learning for predictive maintenance and/or healthcare. Supervised by Sofie Van Hoecke and Steven Verstockt.

Sandeep Ramachandra  logo

Sandeep Ramachandra

Doctoral researcher

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PhD research on deep patient representation using transformers for risk evaluation. Supervised by Sofie Van Hoecke and Femke Ongenae.

Thomas Kok logo

Thomas Kok

Doctoral researcher

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PhD research on explainable AI for predictive healthcare. Supervised by Sofie Van Hoecke and Dirk De Schrijver.

Kyana Bosschaerts logo

Kyana Bosschaerts

Doctoral researcher

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PhD on personalized and engaging behavioral change interventions. Supervised by Femke Ongenae, Lieven De Marez (MICT, UGent) and Sofie Van Hoecke.

Stephanie Chen logo

Stephanie Chen

Doctoral researcher

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PhD research on stress monitoring and scalable cloud architectures. Supervised by Sofie Van Hoecke and Bruno Volckaert.

Tom Windels logo

Tom Windels

Doctoral researcher

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PhD research on personalized healthcare by enabling machine learning-driven agents across Solid pods. Supervised by Sofie Van Hoecke and Femke Ongenae.

Mohammed Aliy logo

Mohammed Aliy

Doctoral researcher

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PhD research on automatic detection of parasites in stool and blood smear images using trustworthy machine learning. Supervised by Sofie Van Hoecke, Wesley De Neve and Janarthanan Krishnamoorthy (Jimma Univ. Ethiopia).

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Jef Jonkers

Doctoral researcher

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Doctoral researcher working on conformal prediction and uncertainty quantification for human and veterinary health applications. Supervised by Sofie Van Hoecke, Luc Duchateau and Glenn Van Wallendael.

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Arne Callaert

Doctoral researcher

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PhD research on hybrid AI for neuromodulation and dermatology use cases. Supervised by Sofie Van Hoecke and Femke Ongenae.

Cédric Bruylandt logo

Cédric Bruylandt

Doctoral researcher

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PhD research on using wearables for user behavior modelling and predictive healthcare. Supervised by Sofie Van Hoecke and Femke Ongenae.

Ahmed Mohammed Abagaro logo

Ahmed Mohammed Abagaro

Doctoral researcher

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PhD research on automatic detection of pulmonary tuberculosis in chest X-ray images using trustworthy machine learning. Supervised by Sofie Van Hoecke, Glenn Van Wallendael and Luc Duchateau.

Ayah Aboalrejal logo

Ayah Aboalrejal

Doctoral researcher

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PhD research on predictive maintenance of heatpumps in collaboration with DAIKIN. Supervised by Sofie Van Hoecke, Raheel Afzal and Femke Ongenae.

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Ayko Chevaillier

Doctoral researcher

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PhD research on sustainable and health AI using the combination of knowledge graphs and machine learning. Supervised by Femke Ongenae and Sofie Van Hoecke.

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Emma Nuyts

Doctoral researcher

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PhD research on fusing semantics and machine learning for optimized building management. Supervised by Femke Ongenae and Sofie Van Hoecke.

Warre Avereyn logo

Warre Avereyn

Doctoral researcher

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PhD research on personalized healthcare for different data modalities. Supervised by Sofie Van Hoecke and Femke Ongenae.

Jennifer Sartor logo

Jennifer Sartor

Educational Supervisor (ATP-A)

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Educational supervisor for labs and projects in the Master of Science in Electronics and ICT Engineering Technology, and responsible for STEM. Supervised by Sofie Van Hoecke, Steven Verstockt, Francis wyffels and Johan Lauwaert.

Interested in joining our team?

We are looking for a junior researcher (PhD student) to contribute to (inter-)national research projects on machine learning and hybrid AI within preventive healthcare and/or predictive maintenance domains. You will cooperate with enthusiastic colleagues and diverse external partners to fulfill the project requirements while staying up to date with important changes in the related literature. Projects will allow you to collaborate with researchers and developers from Europe and beyond in the area of machine learning for preventive health and predictive maintenance. You will be given the opportunity to work on new machine learning technologies that will facilitate predictive modeling, anomaly and/or event detection, behavior modelling, .... You might work on both European and/or regional research projects depending of the topic. Experience with semantics, embeddings, graphs, ... is a plus.

Alumni

Thomas De Corte (PhD 2024)
David Vander Mijnsbrugge (PhD 2024)
Ganjour Mazaev (PhD 2023)
Vic Degraeve (project researcher)
Gilles Vandewiele (senior project researcher)
Ziye Fang (project researcher)
Krishna Kumar Thirukokaranam Chandrasekar (PhD 2022)
Wannes De Groote (PhD 2021)
Dieter De Paepe (PhD 2021)
Sander Vanden Hautte (project researcher)
Iman Cocquyt (developer)
Olivier Janssens (PhD 2017)
Viktor Slavkovikj (PhD 2016)
Steven Verstockt (PhD 2011)