I graduated with a degree in Electronics Engineering in 2001 and worked in industry for a while. Later, I became a lecturer and research coordinator at Karel de Grote Hogeschool, teaching Unity3D game engine, AR/VR, and machine learning. I completed my PhD at the University of Antwerp’s Industrial Vision Group (InViLab), focusing on Gaussian processes for 3D measurements. Currently, I’m a postdoctoral researcher working on using Gaussian processes to calibrate unconventional cameras. My main interest involves uncertainty quantification and how it can be combined with 3D projective geometry to discover hidden strucures in data.

Project Title: Symposium on How to Exploit Uncertainty in Research II
Timeframe: applied November 2025, symposium will be held on x/9/2026
Funding Source: OJO Call UAntwerp
Funding Amount: € 4,000
Role: supervisor and grant holder
Status: Approved
Project Title: PreMaNRM2 – Predictive Maintenance for Non-Road Mobile Machinery
Timeframe: applied June 2025, project November 2025 - October 2026
Funding Source: AUHA Zaaifonds voor onderzoekssamenwerking
Funding Amount: € 25,000
Role: supervisor and grant holder
Status: Approved, ongoing
Project Title: Symposium on How to Exploit Uncertainty in Research
Timeframe: applied November 2024, symposium was be held on 3/9/2025
Funding Source: OJO Call UAntwerp
Funding Amount: € 4,000
Role: supervisor and grant holder
Status: Completed
Project Title: Implicit Camera Calibration
Timeframe: applied November 2024, project April 2025 – October 2025
Funding Source: BOF KP UAntwerp
Funding Amount: € 10,000
Role: supervisor and grant holder
Status: Completed
Project Title: Wireless capsule endoscopy based on Gaussian process latent variable models,
Timeframe: October 2024 – September 2027
Funding Source: FWO Postdoctoral Fellowship
Funding Amount: € 380.000
Role: grant holder, fellow
Status: Approved, ongoing
Project Title: Virtual Reality application for Treatment of Spatial Neglect
Timeframe: September 2020 – August 2021
Funding Source: IOF POC UAntwerp
Funding Amount: € 86,034.55
Role: 50/50 effort with MOVANT University of Antwerp
Status: Completed
Project Title: AI in XR, toolkit for AI-development in XR-applications
Timeframe: September 2019 – August 2020
Funding Source: PWO Karel de Grote University College
Funding Amount: € 138,223
Role: supervisor and grant holder
Status: Completed
Project Title: ImmersiMed
Timeframe: September 2019 – August 2020
Funding Source: Innovation Fund Karel de Grote University College
Funding Amount: € 37,860
Role: supervisor and grant holder
Status: Completed
Project Title: Education 4.0
Timeframe: September 2018 – August 2021,
Funding Source: VLAIO Living Lab (Proeftuinen)
Funding Amount: € 343,968.00
Role: supervisor for our part, grant application 25% me, 25% Catalisti, 25% IMEC, 25% ACTA
Status: Completed
Project Title: IoTTo, IoT-platform for real time vehicle data
Timeframe: September 2019 – August 2020
Funding Source: PWO Karel de Grote University College
Funding Amount: € 191,765
Role: grant application
Status: Completed
Project Title: ELGAS, Effecten van Luchtkwaliteit op de Gezondheid in Accommodaties van Schepen
Timeframe: September 2019 – August 2020
Funding Source: VLAIO TETRA
Funding Amount: € 197,154.75
Role: grant application 25% me, 50% Antwerp Maritime Academy (Hogere Zeevaartschool), 25% VITO
Status: Completed
Project Title: Collaborative XR Lab
Timeframe: September 2018 – August 2020
Funding Source: VLAIO, Steun voor onderzoeksinfrastructuur bij hogescholen
Funding Amount: € 250,423.46
Role: supervisor, grant application 50/50 effort with coworker
Status: Completed
Patent: COMPUTER IMPLEMENTED METHOD AND SYSTEM FOR MAPPING SPATIAL ATTENTION Publication number: WO2022/122834

In December 2019 we launched an interdisciplinary interest group regarding the possibilities and the challenges of Gaussian Processes. The objective was (and still is) the organic expansion of a platform for discussions and sharing of ideas on theoretical contributions and practical applications, creating a fertile soil for future cooperation and project proposals. We have had the pleasure to welcome various speakers such as professor Søren Hauberg (Technical University of Denmark), professor Stephen Roberts (Oxford University), professor Carl Henrik Ek (Cambridge University) and many more. Find all of them here. Do not hesitate to contact me if you want to get involved.
A Unified Complex-Fresnel Model for Physically Based Long-Wave Infrared Imaging and Simulation, ter Heerdt, Peter, William Keustermans, Ivan De Boi, and Steve Vanlanduit. 2026. Journal of Imaging 12, no. 1: 33. https://doi.org/10.1016/j.nimb.2025.165859
Isotope Separator On-Line system tuning: Bayesian optimization applied to the transport beamline case, Santiago Ramos Garces, Line Le, Mia Au, Alexander Schmidt, João Pedro Ramos, Marc Dierckx, Dinko Atanasov, Ivan De Boi, Sebastian Rothe, Lucia Popescu, Stijn Derammelaere. 2025. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2025/11/1. Volume 568. https://doi.org/10.1016/j.nimb.2025.165859
Use of Immersive Virtual Reality to Explore Visual Search Behaviour in Individuals with Visuospatial Neglect after Stroke, Elissa Embrechts, Ivan De Boi, Quirine Schatteman, Tanja C. W. Nijboer, Steven Truijen, and Wim Saeys. 2025, Neuropsychological Rehabilitation, June, 1–28. https://doi:10.1080/09602011.2025.2511193.
On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation, Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne, Sensors 2025, 25, 298. https://doi.org/10.3390/s25020298
The Creation of Ruled Surfaces in a Hall of Mirrors, Ivan De Boi, Rudi Penne, Proceedings of Bridges 2025 : Mathematics and the Arts - ISSN 1099-6702 - Tessellations Publishing, 2025, p. 483-486, https://archive.bridgesmathart.org/2025/bridges2025-483.html#gsc.tab=0.
Safe Bayesian optimization with simulation-informed Gaussian process for the constraints, Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere, ICAAI ‘24: Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence, Pages 66 - 72, https://doi.org/10.1145/3704137.3704157
Gaussian processes for 3D measurements, De Boi Ivan, Dissertation. University of Antwerp, 2024, https://repository.uantwerpen.be/desktop/irua

Geometric optimization through CAD-based bayesian optimization with unknown constraint, Abdelmajid Ben Yahya, Robbe De Laet, Santiago Ramos Garces, Nick Van Oosterwyck, Ivan De Boi, Annie A.M. Cuyt, Stijn Derammelaere, 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA), 11-13 November, 2024, London, United Kingdom, p. 394-402, https://doi.org/10.1109/ICCMA63715.2024.10843905
Efficient Tuning of an Isotope Separation Online System Through Safe Bayesian Optimization with Simulation-Informed Gaussian Process for the Constraints, Garces, Santiago Ramos, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, and Stijn Derammelaere, 2024, Mathematics 12, no. 23: 3696. https://doi.org/10.3390/math12233696
Mechanism design optimization through CAD-based Bayesian optimization and quantified constraints, Ben Yahya Abdelmajid, Ramos Garces Santiago, Van Oosterwyck Nick, De Boi Ivan, Cuyt Annie, Derammelaere Stijn, Discov Mechanical Engineering 3, 21 (2024). https://doi.org/10.1007/s44245-024-00054-7
Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression, De Boi Ivan, Embrechts Elissa, Schatteman Quirine, Penne Rudi, Truijen Steven, Saeys Wim, Artificial intelligence in medicine - ISSN 0933-3657 - 149(2024), https://doi.org/10.1016/J.ARTMED.2024.102770
Simulation-informed Gaussian Processes for Accelerated Bayesian Optimisation, Santiago Ramos Garces, Ivan De Boi, Rudi Penne, João Pedro Ramos, Marc Dierckx, and Stijn Derammelaere, Intelligent Management of Data and Information in Decision Making. August 2024, 219-226 https://doi.org/10.1142/9789811294631_0028
A phase correlation based peak detection method for accurate shape from focus measurements, Gladines Jona, Sels Seppe, De Boi Ivan, Vanlanduit Steve, Measurement / International Measurement Confederation - ISSN 1873-412X - 213(2023), https://doi.org/10.1016/J.MEASUREMENT.2023.112726
Enhanced checkerboard detection using Gaussian processes, Hillen Michaël, De Boi Ivan, De Kerf Thomas, Sels Seppe, Cardenas Edgar, Gladines Jona, Steenackers Gunther, Penne Rudi, Vanlanduit Steve, Mathematics - ISSN 2227-7390 - 11:22(2023), https://doi.org/10.3390/MATH11224568
On the angular control of rotating lasers by means of line calculus on hyperboloids, Penne Rudi, De Boi Ivan, Vanlanduit Steve, Sensors - ISSN 1424-8220 - 23:13(2023), https://doi.org/10.3390/S23136126
Surface approximation by means of Gaussian process latent variable models and line element geometry, De Boi Ivan, Ek Carl Henrik, Penne Rudi, Mathematics - ISSN 2227-7390 - 11:2(2023), https://doi.org/10.3390/MATH11020380
How to turn your camera into a perfect pinhole model, De Boi Ivan, Pathak Stuti, Oliveira Marina, Penne Rudi, Lecture notes in computer science - ISSN 0302-9743 - Springer, (2024), p. 90-107, https://doi.org/10.1007/978-3-031-49018-7_7
Dynamic line scan thermography parameter design via Gaussian process emulation, Verspeek Simon, De Boi Ivan, Maldague Xavier, Penne Rudi, Steenackers Gunther, Algorithms - ISSN 1999-4893 - 15:4(2022), https://doi.org/10.3390/A15040102
Input and output manifold constrained Gaussian process regression for galvanometric setup calibration, De Boi Ivan, Sels Seppe, De Moor Olivier, Vanlanduit Steve, Penne Rudi, IEEE transactions on instrumentation and measurement / Institute of Electrical and Electronics Engineers - ISSN 1557-9662 - 71(2022), https://doi.org/10.1109/TIM.2022.3170968
Semi data-driven calibration of galvanometric setups using Gaussian processes, De Boi Ivan, Sels Seppe, Penne Rudi, IEEE transactions on instrumentation and measurement / Institute of Electrical and Electronics Engineers - ISSN 1557-9662 - 71(2022), https://doi.org/10.1109/TIM.2021.3128956
Feasibility of Kd-trees in Gaussian process regression to partition test points in high resolution input space, De Boi Ivan, Ribbens Bart, Jorissen Pieter, Penne Rudi, Algorithms - ISSN 1999-4893 - 13:12(2020), https://doi.org/10.3390/A13120327
A taxonomy of contemporary artificial intelligence techniques used in virtual reality training and simulations, De Boi Ivan, Jorissen Pieter, International Science Fiction Prototyping Conference 2020(SciFi-It’2020), 23-25 March, 2020, Ghent, Belgium - ISBN 978-94-92859-10-5 - Ostend, EUROSIS-ETI, 2020, p. 41-48
ImmersiMed: Cross-platform simulation training, Jorissen Pieter, De Boi Ivan, http://www.digitmedicine.com/text.asp?2018/4/4/166/248975
Do not take these seriously. Although, …