Assistant Professor (Tenure Track)
CurrentExplainable AI for Life.https://www.uu.nl/en/research/ai-data-science/ai-technology-for-life
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Wilson Silva is listed as Assistant Professor in Explainable AI (tenure track) at Utrecht University at Utrecht University, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a matched LinkedIn profile for Wilson Silva.
Wilson Silva previously worked as Assistant Professor (tenure track) at Utrecht University and Research Fellow at The Netherlands Cancer Institute. Wilson Silva holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering (Computer Vision | Machine Learning | Medical Image Analysis) from Faculdade De Engenharia Da Universidade Do Porto.
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I am an Assistant Professor (tenure-track) at Utrecht University and a Guest AI Researcher at the Department of Radiology, The Netherlands Cancer Institute. My research is focused on Trustworthy AI.
Listed skills include C, Programming, Electronics, Matlab, and 9 others.
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Utrecht, Netherlands
Explainable AI for Life.https://www.uu.nl/en/research/ai-data-science/ai-technology-for-life
Amsterdam, North Holland, Netherlands
https://radiology.nkiai.nl/research/trustworthy-ai/Leading the research line on Trustworthy AI: - Generalizability (inductive bias, disentanglement learning)- Privacy (visual anonymization, federated learning)- Explainable AI (concept discovery, causal learning)
Teaching position.Responsible for the practical classes of Programming and Artificial Intelligence courses: - Computer-Aided Diagnostics (M.BIO001)- Machine Learning (M.EEC006)- Fundamentals of Machine Learning for Computer Vision (MVCOMP02)- Data Structures and Algorithms (L.EEC009)
Porto, Portugal
Visual Computing and Machine Intelligence Group (http://vcmi.inesctec.pt/)Breast Research Group (http://vcmi.inesctec.pt/breast/)Research topics of interest: - Interpretable/Explainable Machine Learning;- Privacy-preserving Machine Learning for Healthcare;- Aesthetic Evaluation of Breast Cancer Conservative Treatment;- Ordinal Classification;Co-supervision of Master's Thesis Students: Tiago Gonçalves (2018/2019). "Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes"(https://repositorio-aberto.up.pt/bitstream/10216/121865/2/346267.pdf)Helena Montenegro (2020/2021). "A privacy-preserving framework for case-based interpretability in machine learning" (https://repositorio-aberto.up.pt/bitstream/10216/135434/2/486982.pdf)Diogo Mata (2021/2022). "Biomedical multimodal explanations – increasing diversity and complementarity in Explainable Artificial Intelligence" Maria Carvalho (2021/2022). "Towards Biometrically-morphed Medical Case-based Explanations"Co-Organizer: VISUM SUMMER SCHOOL 2018, 2019, 2020, 2021, and 2022. (http://visum.inesctec.pt/)Co-Organizer: - iMIMIC at MICCAI 2020, 2021, 2022 (http://imimic-workshop.com/) - XAI4Biometrics at WACV 2021, 2022 (http://vcmi.inesctec.pt/xai4biom_wacv/)- MICCAI Hackathon at MICCAI 2021, 2022 (https://2021.miccai-hackathon.com/)Reviewer at: iMIMIC at MICCAI 2019 (http://imimic-workshop.com/)MICCAI 2019, 2020, 2021, 2022 (https://www.miccai2021.org/)EMBC 2022 (https://embc.embs.org/2022/Applied AI Letters Journal (https://onlinelibrary.wiley.com/journal/26895595)
Porto, Portugal
Integrated Master in Bioengineering.Responsible for the practical classes of the following courses:1st Semester 2020/2021 - Computer-Aided Diagnostics (EBE0149);Computer-Aided Diagnostics (EBE0149) program:- Introduction to Learning Theory.- Introduction to Linear Regression.- Generative Classifiers.- Non-Generative Classifiers.- Model Selection and evaluation.- Introduction to Neural Networks.- Introduction to Deep Neural Networks. Introduction to Convolutional Neural Networks.- Unsupervised Learning.
Bern, Berne, Switzerland
University of Bern | Insel Data Science Center (Inselspital - Bern University Hospital)Worked under the supervision of Professor Mauricio Reyes and PD Dr Alexander Poellinger:- Interpretability-guided Content-based Medical Image Retrieval (MICCAI 2020 paper)- MICCAI 2020 Student Travel Award
Porto, Portugal
Integrated Master in Electrical and Computers Engineering. Responsible for the laboratories and practical classes of the following courses:1st Semester 2018/2019 - Laboratory of Digital Systems (EEC0006);2nd Semester 2018/2019 - Programming 2 (EEC0009);Laboratory of Digital Systems (EEC0006) program: - Binary arithmetic. Boolean Algebra.- Analysis and synthesis of combinational circuits.- Synchronous sequential circuits and finite state machines.- Structural description and simulation of digital circuits using Verilog.- Introduction to the architecture of microprocessors and identification of its main components.- Assembly language programming. Subroutines and structured programming. Programming 2 (EEC0009) program:- Programming in C and Development Methodologies.- Low-level programming.- Fundamentals about algorithms.- Data structures (lists, queues, stacks, hash tables, trees, heaps, graphs).
Lisbon, Portugal
IT Audit and Financial Audit Support:- QoS Audit in Healthcare- CAATS / Substantive Testing (Industries: Insurance, Wholesale, Financial Services) - General IT Controls (Industries: Financial Services, Information Technology)
Porto, Portugal
Software Defined Radar for Medical Imaging (Grade: 19/20)Supervisor: Prof. João Paulo Cunha
Porto, Portugal
Integrated Master in Electrical and Computers Engineering. Worked alongside the Professor to assist students during practical classes of the following courses:1st Semester 2015/2016 - Laboratory of Digital Systems (EEC0006);1st Semester 2013/2014 - Programming 1 (EEC0005);
FCT Ph.D. Grant Main Publications: - A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. (IJCNN 2018).
Major: Telecommunications, Electronics and Computers Specialization: Communication Technologies Master Thesis: Software Defined Radar.
Visiting Student / Erasmus + First Semester (Winter Semester): - Optical Engineering (Karlsruhe School of Optics and Photonics,KSOP).
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Wilson Silva works for Utrecht University.
Wilson Silva is listed as Assistant Professor in Explainable AI (tenure track) at Utrecht University at Utrecht University.
Wilson Silva is based in Amsterdam, North Holland, Netherlands while working with Utrecht University.
Wilson Silva has worked for Utrecht University, The Netherlands Cancer Institute, Faculdade De Engenharia Da Universidade Do Porto, Inesc Technology And Science - Associate Laboratory, and Artorg Center For Biomedical Engineering Research.
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Wilson Silva holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering (Computer Vision | Machine Learning | Medical Image Analysis) from Faculdade De Engenharia Da Universidade Do Porto.
Wilson Silva is listed with skills including C, Programming, Electronics, Matlab, Leadership, Digital Signal Processing, Radar Systems, and Agilent Ads.
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