Aleksandar Bojchevski

Professor at University of Cologne

Cologne, North Rhine-Westphalia, Germany
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Summary

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Aleksandar Bojchevski is a full professor of Computer Science at the University of Cologne and head of the Trustworthy Artificial Intelligence research group, with 11 years of experience bridging academic research and applied engineering. His work focuses on making machine learning—especially graph-based models like graph neural networks—robust, uncertainty-aware, privacy-preserving, fair, and interpretable, combining deep generative models, anomaly detection, and adversarial defenses. He progressed from a PhD and postdoc at TUM to faculty at CISPA, and has industry experience at Google and in medical-device and mobile software engineering, giving him a rare blend of theoretical depth and production-grade systems know-how. Aleksandar’s background in large-scale graph mining and security-conscious ML informs both foundational research and practical defenses for real-world systems. He holds an M.Sc. from TUM and a top-ranked B.Sc. in Software Engineering, and is based in Cologne, Germany.
code11 years of coding experience
job11 years of employment as a software developer
bookBachelor of Science (BS), Software Engineering, 9.9/10, Bachelor of Science (BS), Software Engineering, 9.9/10 at Faculty of Computer Science and Engineering - Skopje
bookMaster of Science (M.Sc.), Informatics, 1.2, Master of Science (M.Sc.), Informatics, 1.2 at Technische Universität München
bookSecondary Municipality School Gymnasium "Kiril Pejcinovikj" - Tetovo
languagesEnglish, Macedonian, German
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Stackoverflow

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53reputation
756reached
0answers
3questions
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Github Skills (105)

python10
relationship-extraction10
mcmc10
bayesian-inference10
relationship10
mining10
rule-based10
nlp10
entity10
pubmed10
bag-of-words10
bayesian10
letter10
text-mining10
nltk10

Programming languages (8)

TypeScriptC++TeXJavaScriptHTMLJupyter NotebookPythonFortran

Github contributions (5)

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abojchevski/graph2gauss

Apr 2018 - Dec 2019

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
Contributions:25 commits, 1 PR, 23 pushes in 1 year 8 months
embeddingsgraphstensorflow
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:67 commits, 10 PRs, 88 pushes in 2 years 1 month
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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Aleksandar Bojchevski - Professor at University of Cologne