Marco Della Vedova
Associate Professor In Applied Artificial Intelligence
Gothenburg, Sweden
Summary
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Senior🎓
Top SchoolMarco Della Vedova is an Associate Professor in Applied Artificial Intelligence and Director of the Master's programme in Data Science and AI at Chalmers, bringing 18 years of experience at the intersection of computer science, robotics, and energy-efficient systems. He holds a PhD in Computer Engineering and a teaching diploma from Chalmers, and has a track record of translating research on real-time systems, load scheduling, and autonomous robotics into teaching and applied projects. Comfortable in multiple programming languages, he has combined academic roles with industry consulting in machine learning and NLP, and has taught core CS courses from algorithms to object-oriented programming. His work often crosses disciplinary boundaries—melding GIS, cloud computing, and ML—to tackle practical problems in buildings, grids, and mobile systems. Based in Gothenburg, he brings a hands-on, curiosity-driven approach to curriculum leadership and research, and is an avid orienteer who applies map-based thinking to spatial and algorithmic challenges.
17 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at University of California, BerkeleyDoctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Università di PaviaDiploma of Teaching and Learning in Higher Education, Diploma of Teaching and Learning in Higher Education at Chalmers University of Technology
English, Italian
Github Skills (3)
rest7
react7
javascript6
Programming languages (1)
Github contributions (5)
mldv/unibg-tcm22
Mar 2022 - May 2022
Contributions:6 commits, 4 pushes, 1 branch in 1 month
mldv/yaavs
Oct 2022 - Oct 2023
Contributions:8 pushes in 1 year
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