Victor Anguix
Associate Director Of Student Affairs
Valencian Community, Spain
Summary
👤
Senior🎓
Top SchoolVictor Anguix is an academic and AI practitioner with over a decade of experience bridging research, teaching and industry applications in artificial intelligence, data science and optimization. He holds a Summa Cum Laude PhD in AI from Universitat Politècnica de València and has progressed from PhD researcher and postdoc to associate professor and Associate Director of Student Affairs at ETSINF UPV. His work spans multi-agent systems, complex negotiation models and coalition formation, and he has applied machine learning and big data tools (Hadoop, Pig, Spark) in commercial settings as a data scientist. Victor combines rigorous research (visits to CMU and TU Delft) with extensive teaching and curriculum design across undergraduate and MSc programs. Colleagues describe him as equally comfortable publishing novel algorithms and translating them into practical analytics workflows for business decision-making. Based in Valencia, he quietly blends administrative leadership with hands-on technical mentorship and a sustained focus on computational models for collective decision problems.
11 years of coding experience
9 years of employment as a software developer
Erasmus Intensive Programme .ES/07/PAP-ERA/IP/17 Usifami: User Interfaces for Ambient Intelligence Computer Science, Erasmus Intensive Programme .ES/07/PAP-ERA/IP/17 Usifami: User Interfaces for Ambient Intelligence Computer Science at Hochschule für Technik und Wirtschaft DresdenUniversitat Politècnica de València
Spanish, English, French, Spanish
Github Skills (9)
genetic-algorithm9
genetic9
pareto-optimality8
metaheuristics8
allocation7
optimization7
python5
artificial-intelligence5
machine-learning4
Programming languages (1)
Github contributions (5)
vicsana1/AIJigsaw
Oct 2017 - Nov 2017
Contributions:26 pushes, 1 branch in 7 days
rithinch/pareto-optimal-student-supervisor-allocation
Sep 2019 - Oct 2020
🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.
Contributions:3 commits, 3 pushes in 1 year
pythonsupervisorsai-in-educationgeneticpareto-optimality
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