Ferdian Jovan
Lecturer at University of Aberdeen
Aberdeen City, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolFerdian Jovan is a lecturer and researcher with 14 years’ experience applying AI, temporal planning and machine learning to real-world robotic and energy systems. His work ranges from devising reactive, adaptive planners for heterogeneous multi-robot coordination in offshore-wind operations to building deep-learning generative models for battery health and remaining useful life at Oxford. He has translated long-horizon human activity modelling for autonomous robots and led ML studies on Parkinson’s progression, reflecting a rare blend of formal computational logic training and hands-on systems deployment. Based in Aberdeen, he combines academic rigour from a PhD at Birmingham and computational-logic masters degrees with practical robotics and FPGA prototyping experience, enabling solutions that bridge simulation and fielded autonomy.
14 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of BirminghamMaster's degree, Computational Logic, 1.8, Master's degree, Computational Logic, 1.8 at Technische Universität Dresden / TU DresdenMaster's degree, Computational Logic, 90, Master's degree, Computational Logic, 90 at Free University BolzanoBachelor, Computer Science, Bachelor, Computer Science at University of Indonesia
English, Indonesian, German
Github Skills (28)
computer-vision6
ros6
object-detection5
semantic5
deep-learning5
machine-learning5
image-processing5
period4
temporal4
pipeline4
python4
morse4
gateway3
scanner3
roi3
Programming languages (6)
Github contributions (5)
ferdianjovan/strands_perception_people
Feb 2015 - Aug 2017
Contributions:52 pushes, 17 branches in 2 years 6 months
long-termdeep-learningrecognitiontracking-detectionobject-detection
ferdianjovan/tro_paper
May 2018 - May 2021
Contributions:2 PRs, 42 pushes, 2 branches in 3 years 1 month
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