Javier Segovia-aguas
Tenure Track Professor at Universitat Pompeu Fabra - Barcelona
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolJavier Segovia-Aguas is a Tenure Track Professor in Artificial Intelligence and Machine Learning based in Barcelona with a decade of research and teaching experience spanning academia and industry. He completed a PhD in AI at Universitat Pompeu Fabra and has progressed from research assistant roles to postdoctoral positions in AI and robotics, including a visiting researcher stint at the University of Melbourne. His work blends theoretical AI, robotics, and practical teaching—he has taught graphs, complexity, and applied machine learning in both university masters and professional programs. Javier’s background in telecommunications and early industry roles in SOA and SAP development give him a rare combination of systems-level engineering and academic rigor. He is known for bridging hands-on sensor-network and robotic research with curriculum design, mentoring the next generation of AI practitioners in Barcelona.
11 years of coding experience
15 years of employment as a software developer
Master in Intelligent Interactive Systems, Ingeniería informática, Master in Intelligent Interactive Systems, Ingeniería informática at Universitat Pompeu FabraDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Universitat Pompeu Fabra - BarcelonaCCNA, Routing, Switching, Networking, CCNA, Routing, Switching, Networking at Cisco Networking Academy at Universitat Pompeu Fabra (UPF)
Spanish, Catalan, English
Github Skills (9)
pacman8
agent4
ai3
pddl2
algorithm2
algorithms1
description-logics1
parser1
parsing1
Programming languages (4)
Github contributions (5)
jsego/unified-planning
May 2023 - Dec 2023
The AIPlan4EU Unified Planning Library
Contributions:8 PRs, 26 pushes, 9 branches in 7 months
aig-upf/automated-programming-framework
May 2018 - Nov 2019
Contributions:1 release, 7 commits, 10 pushes in 1 year 5 months
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