Summary
Sebastian Palacio is an AI research scientist and leader with over a decade of experience building and deploying deep learning systems for computer vision, time series, text and tabular data. He holds a summa cum laude PhD in Artificial Intelligence and has led multimedia analysis and data mining teams at DFKI before driving industrial AI research at ABB on anomaly detection, generative and secure AI for automation and robotics. His research emphasizes Explainable AI and neural network understanding, with practical work spanning vehicle tracking, near-duplicate image retrieval, adversarial robustness and video-based analytics. Comfortable bridging academia and industry, he has also collaborated internationally as a visiting researcher at ICSI and consistently moves models from prototype to production in real-world automation settings. Based in Schwabenheim, Germany, he combines deep technical rigor with team leadership and a knack for translating complex ML research into operational solutions.
10 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, M. Sc. on Intelligent Systems, Master of Science (M.Sc.), Computer Science, M. Sc. on Intelligent Systems at Technische Universität Kaiserslautern
Engineer's degree, Computer Science, Engineer's degree, Computer Science at EAFIT University
Doctor of Philosophy - PhD, Artificial Intelligence, summa cum laude, Doctor of Philosophy - PhD, Artificial Intelligence, summa cum laude at RPTU Kaiserslautern-Landau
High School Diploma, High School Diploma at Deutsche Schule Medellin
Spanish, English, German, French