About me

I graduated with a degree in Electronics Engineering in 2001 and worked in industry for a while. I then 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. I’m interested in uncertainty quantification and how it can be combined with 3D projective geometry to discover hidden strucures in data.

Current FWO-postdoctoral work

Work Experience

• Sep 2024 - ongoing, postdoctoral research fellow FWO
• May 2024 - Sep 2024, postdoctoral researcher University of Antwerp
• Feb 2021 - May 2024, PhD student University of Antwerp
• Feb 2009 - Jan 2021, Lecturer and Research Coordinator, Karel de Grote Hogeschool
• Feb 2017 - Jun 2017, Unity Developer, BUT (part time)
• Feb 2002 - Feb 2007, Application Engineer VRT
• Mar 2007 - Jan 2009, Project Engineer Test & Maintenance, Atlas Copco

Acquired Grants

Total: € 1,639,428.76

• Project Title: Symposium on How to Exploit Uncertainty in Research, Timeframe: applied November 2024, symposium will be held on 3/9/2025, Funding Source: OJO Call UAntwerp, Funding Amount: € 4.000, Role: supervisor and grant holder, Status: Approved

• 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: Applied for funding

• 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

Scientific Output and Impact

Patent

Patent: COMPUTER IMPLEMENTED METHOD AND SYSTEM FOR MAPPING SPATIAL ATTENTION Publication number: WO2022/122834

Patentscope

YouTube video

Talks

• 20/01/2025, How to do more with uncertainty in AI, invited talk, Applied Computer Science Conference Days, Karel de Grote University College, >100 attendees
• 4/12/24, How to Exploit Uncertainty in AI for XR development, invited talk, Multimedia and Creative Technologies, Karel de Grote University College, >100 attendees
• 22/10/24, Gauss is GOAT @Mathfest24, 100 attendees
• 23/01/2024, How to do more with uncertainty in AI, invited talk, Applied Computer Science Conference Days, Karel de Grote University College, 100 attendees
• 27/11/2023, How to turn your camera into a perfect pinhole model, 26th Iberoamerican Congress on Pattern Recognition at Coimbra (Portugal), 80 attendees
• 5/10/2023, How to get more out of endoscopic images, Cancer Research Day, University of Antwerp, 100 attendees
• 24/5/2023, On straight lines and machine learning, invited talk, Systems and Robotics of the university of Coimbra (Portugal), 15 attendees
• 1/2/2023, Straight lines in robotics, Machine Learning Research Group of Oxford (UK), 10 attendees
• 7/4/2022, How to improve the accuracy of laser-based systems using straight lines, Metromeet conference (Spain), 50 attendees
• 7/9/2020, A taxonomy of contemporary artificial intelligence techniques used in virtual reality training and simulations, SciFi-It conference, 20 attendees
• 12/12/2019, Gaussian Processes – Literature Study 2019, lunch seminar hosted by InViLab University of Antwerp, 32 attendees
• 16/11/2018, Unlock the power of AR, invited talk, Applied Computer Science Conference Days, Karel de Grote University College, 100 attendees
• 18/4/2018, ImmersiMed: a future-proof immersive platform for medical training at the SciFi-It conference 20 attendees
• 16/11/2017, Jumpstart into Hololens development with Unity, invited talk, Applied Computer Science Conference Days, Karel de Grote University College, 100 attendees

Science Communication

• 22/10/24, Gauss is GOAT @Mathfest24, 100 attendees, I won the audience award for my pitch
• 4/03/24, AI skeleton tracking fitness mirror, Flanders Technology and Innovation closing event, >1000 attendees
• 24/11/2019, Dag van de wetenschap, VR demonstration ImmersiMed, an application to train medical personnel, >1000 attendees
• 29/9-30/9 2018, ImmersiMed, Tech and Innovation Festival SuperNova, Flanders DC, >2000 attendees
• 25/11/2018, Dag van de wetenschap, AR demonstration on Smart Vending Machines, >1000 attendees

Network on Gaussian Processes

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.

Member of

• 24 - ongoing, BAP representative Faculty Educational Council (OWC)
• 24 - ongoing, Vlaamse Interuniversitaire Raad, postdoc representative for University of Antwerp
• 24 - ongoing, Member of COST Action Randomised Optimisation Algorithms Research Network, WG4 Optimisation under uncertainty, www.cost.eu/actions/CA22137 https://www.roar-net.eu/
• 22-24 Antwerp Doctoral School, PhD student representative in both board and council
• 22-24 PhD student representative in both board and council of Antwerp Doctoral School
• 22-24 PhD student representative in Faculty Doctoral Committee (FDOC)
• 22-24 PhD student representative in Faculty Research Council (OZC)

Awards

• I won the audience award for my pitch on Gauss as GOAT @MathFest24.
• Best paper award for my paper “IMMERSIMED: A Future-Proof Immersive Platform for Medical Training” at the SCIFI-IT’2018 Conference (April 18-20 2018).
• Our paper “Dynamic Line Scan Thermography Parameter Design via Gaussian Process Emulation” was selected for the cover story of Algorithms, Volume 15, Issue 4 (April 2022) link
• In 2019, I received the audience best project award (publieksprijs) “Prijs Frank Swaelen”, at the Karel de Grote Hogeschool congress for my Innovation Project “ImmersiMed - training hospital procedures in VR”.

Reviews

• IEEE Transactions on Instrumentation and Measurement
• Springer Autonomous Intelligent Systems and Springer Nonlinear Dynamics
• Springer Nonlinear Dynamics
• The 12th International Conference on Control, Mechatronics and Automation (ICCMA 2024), ICCMA
• I also review for VLAIO (afdeling Innovatiesteun van het Agentschap Innoveren & Ondernemen) as an expert on AI and AR/VR.

Publications

2025

A1 Journal

Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere, Safe Bayesian optimization with simulation-informed Gaussian process for the constraints, ICAAI ‘24: Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence, Pages 66 - 72, https://doi.org/10.1145/3704137.3704157

Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne, On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation, Sensors 2025, 25, 298. https://doi.org/10.3390/s25020298

2024

PhD thesis

Gaussian processes for 3D measurements. De Boi Ivan, Dissertation. University of Antwerp, 2024, https://repository.uantwerpen.be/desktop/irua

A1 Journal

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

P1 Conference

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

2023

A1 Journal

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

P1 Conference

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

2022

A1 Journal

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

2020

A1 Journal

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

P2 Conference

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

2018

A1 Journal

ImmersiMed: Cross-platform simulation training, Jorissen Pieter, De Boi Ivan, http://www.digitmedicine.com/text.asp?2018/4/4/166/248975

Mock Publications

Do not take these seriously. Although, …

• Happy Edward Goodwin Day, aka the more sensible pi-day pdf
• On the Tardiness of my Coworkers and How To Exploit it pdf