プロフィール詳細

プロジェクトを作成

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Dr. Ioannis K.に依頼

Belgium

AI Engineer & Machine Learning Research Scientist

プロフィール概要

Multidisciplinary computational scientist and software engineer at the intersection of Computer Vision, Machine Learning, and Bioscience Engineering — with 10+ years of combined experience across academia, industry, and R&D. Passionate about building systems that turn complex data into actionable insight, from insect optical sensors to planetary-scale satellite imagery.

専門分野

• ★ Neural Networks
• ★ Artificial Intelligence
• ★ Computer Vision
• ☆ Remote Sensing
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Predictive Modeling & Analytics
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Pattern Recognition
• ☆ Deep Learning
• ☆ Python
• ☆ Scikit-learn

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research User Research, Feasibility Study, Technology Scouting, Scientific and Technical Research

Consulting Digital Strategy Consulting

Data & AI Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

職務経験

Remote Sensing & AI Researcher

Flemish Institute for Technological Research

3月 2024 - 現在

PhD Researcher

KU Leuven

11月 2018 - 3月 2024

Machine Learning Engineer

Faktion

12月 2017 - 10月 2018

PhD Researcher

KU Leuven

11月 2015 - 11月 2017

学歴

PhD in Bioscience Engineering (MeBioS, Biophotonics)

KU Leuven

11月 2018 - 11月 2022

Master of Science (Machine Learning)

Kungliga Tekniska Högskolan

9月 2013 - 10月 2015

Bachelor of Science (Informatics)

Aristotle University of Thessaloniki Faculty of Sciences

1月 2006 - 3月 2013

認定資格

• Cubes & Clouds - EO College Certificate

  EO College

  https://eo-college.org/verify/78099043FC-7809901C26-7337B0AEFD/

  4月 2024 - 現在

出版物

JOURNAL ARTICLE

Ioannis Kalfas, Astrid Tempelaere, Bart De Ketelaere, Jiaqi He, Michiel Pieters, Wouter Saeys, Remi Van Belleghem, Leen Van Doorselaer, Pieter Verboven, Bart Nicolai(2023). An introduction to artificial intelligence in machine vision for postharvest detection of disorders in horticultural products . Postharvest Biology And Technology. 206. (112576). Elsevier

Ioannis Kalfas, Bart De Ketelaere, Klaartje Bunkens, Wouter Saeys(2023). Towards automatic insect monitoring on witloof chicory fields using sticky plate image analysis . Ecological Informatics. 75. (ARTN 102037). ELSEVIER

Ioannis Kalfas, Bart De Ketelaere, Tim Belien, Wouter Saeys(2022). Optical Identification of Fruitfly Species Based on Their Wingbeats Using Convolutional Neural Networks . Frontiers In Plant Science. 13. (ARTN 812506). FRONTIERS MEDIA SA

Ioannis Kalfas, Bart De Ketelaere, Niels Wouters, Remi Van Belleghem, Wouter Saeys(2022). A fresh look at computer vision for industrial quality control . Quality Engineering. 34. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 152--158. TAYLOR \& FRANCIS INC

Ioannis Kalfas, Stefania Bracci, J Brendan Ritchie, Hans Op de Beeck(2019). The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks . Journal Of Neuroscience. 39. (33). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 6513--6525. SOC NEUROSCIENCE

Ioannis Kalfas, Nikolaus Kriegeskorte, Kasper Vinken, Rufin Vogels(2018). Representations of regular and irregular shapes by deep Convolutional Neural Networks, monkey inferotemporal neurons and human judgments . PLOS Computational Biology. 14. (10). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString e1006557. Public Library of Science ({PLoS})

Ioannis Kalfas, Kasper Vinken, Rufin Vogels(2018). Representations of regular and irregular shapes by deep Convolutional Neural Networks, monkey inferotemporal neurons and human judgments . Plos Computational Biology. 14. (40). Public Library of Science (PLoS)

Ioannis Kalfas, Veerle Neyens, Rose Bruffaerts, Antonietta G. Liuzzi, Ronald Peeters, Emmanuel Keuleers, Rufin Vogels, Simon De Deyne, Gert Storms, Patrick Dupont, et al. (2017). Representation of Semantic Similarity in the Left Intraparietal Sulcus: Functional Magnetic Resonance Imaging Evidence . Frontiers in Human Neuroscience.

Ioannis Kalfas, Satwant Kumar, Rufin Vogels (2017). Modeling the shape selectivity of single neurons of a macaque body patch . Journal of Vision.

Ioannis Kalfas, Satwant Kumar, Rufin Vogels(2017). Shape selectivity of middle Superior Temporal Sulcus body patch neurons . eNeuro. Society for Neuroscience

Ioannis Kalfas, Satwant Kumar, Rufin Vogels(2017). Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons . eneuro. 4. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString ENEURO.0113--17.2017. Society for Neuroscience

Ioannis Kalfas, Satwant Kumar, Rufin Vogels(2017). Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons . eneuro. 4. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString ENEURO.0113--17.2017. Society for Neuroscience

Ioannis Kalfas, Veerle Neyens, Rose Bruffaerts, Antonietta Gabriella Liuzzi, Ronald Peeters, Emmanuel Keuleers, Rufin Vogels, Simon De Deyne, Gert Storms, Patrick Dupont, et al.(2017). Representation of semantic similarity in the left intraparietal sulcus: Functional magnetic resonance imaging evidence . Frontiers In Human Neuroscience. 11. (402). Frontiers Research Foundation

Ioannis Kalfas, Bart De Ketelaere, Wouter Saeys Towards in-field insect monitoring based on wingbeat signals: The importance of practice oriented validation strategies . Computers And Electronics In Agriculture. (105849). Elsevier

DISSERTATION THESIS

Ioannis Kalfas, Wouter Saeys(2022). Optical insect identification using artificial intelligence: towards reliable in-field insect monitoring.

OTHER

Ioannis Kalfas, Stefania Bracci, Hans Op de Beeck(2017). The ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks . Cold Spring Harbor Laboratory

Ioannis Kalfas, Stefania Bracci, Hans Op de Beeck(2017). The ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks . bioRxiv. Cold Spring Harbor Laboratory