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Federico Garbuglia : “S-Parameter Modeling and Optimization Using Deep Gaussian Processes” #mikon2022 mrw2022.org/mikon/

Federico, e,.a.: Bayesian Optimization for Microwave Devices using Deep GP Spectral Surrogate Models ieeexplore.ieee.org/document/99971…

Honored to be listed in the “World’s Top 2% Scientist List” from Stanford University University / Elsevier, among several IDLab colleagues See the full list at: elsevier.digitalcommonsdata.com/datasets/btchx…

Our research proposal "Bayesian preferential many-objective optimization with imperfect knowledge" was accepted! Thanks FWO for the support and congratulations to Ivo Couckuyt ! IDLab

new IEEE paper by SUMOLAB researcher Geethika, e,.a.: "Open-Set Patient Activity Recognition with Radar Sensors and Deep Learning" ieeexplore.ieee.org/document/10011…

Congrats Jixiang e.a. Jixiang Qing . Accepted paper @ #AISTATS2023 : Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints #BayesianOptimization #FlandersAI arxiv.org/abs/2204.05411

We are hiring: PhD position: Machine Learning for engineering (ML4ENG) lnkd.in/eJ-adF87

A great experience to present our work at the Adaptive Experimentation (AE) workshop. Thanks to our colleagues and peers for the fruitful discussion on Gaussian Process and much more! Kudos to Max Balandat eytan bakshy and the AE team of Meta for organizing.

Great work of Jixiang Qing at IDLab SUMOlab @ UGent-imec

Non-invasive sensing using a radar device. Perfect to demonstrate how uncertainty quantification is important for smart edge-cloud interaction to reduce bandwidth (and much more!). ConnectedMinds day @ IDLab SUMOlab @ UGent-imec

Federico Garbuglia #IEEE_SPI2023: “Modeling S-parameters of Interconnects using Periodic Gaussian Process Kernels" IDLab SUMOlab @ UGent-imec

📣 Excited to announce the Workshop on "Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences", co-located with ECML PKDD 2023 in Turin, Italy. #ml4eng #GP #BayesOpt 🗓️ Submit your paper until June 12. ℹ️ sites.google.com/view/exml23

Federico, congratulations on winning the IEEE EPS Student Travel Grant!

Deadline extended to June 19th!

Final extension! Deadline June 26th. Submit at: sites.google.com/view/exml23/ho… ECML PKDD

Prof. Peter Frazier (Cornell and Uber) will give a keynote at the Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences workshop at ECML PKDD #ECMLPKDD2023. "Incorporating Human Expertise into Bayesian Optimization". sites.google.com/view/exml23/sp…

A full room (even this early!) for the Expert-informed ML workshop. Great talk by Prof. Sašo Džeroski on automated scientific modeling at ECML PKDD #ECMLPKDD2023 More to come in part 2 this afternoon at 14:30 with a Keynote from Prof. Peter Frazier! sites.google.com/view/exml23/pr…

We have several open PhD positions at IDLab-SUMO, Belgium. Interested in joining a dynamic team working on surrogate modeling, data-efficient machine learning, and engineering? Drop us an e-mail. See ugent.be/ea/idlab/en/jo… and sumo.ilabt.imec.be/home/research

Congrats Nasrulloh Loka with your PhD on: “Bayesian Optimization for Engineering Design and Process Optimization"

Great IDLab talk on respiratory monitoring by Thomas!