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Agustinus's Portrait

Agustinus Kristiadi

Last-year Ph.D. student at the University of Tübingen

Email
agustinus[at]kristia.de
Google Scholar
https://scholar.google.com/citations?user=_1qe2mYAAAAJ&hl=en
LinkedIn
https://www.linkedin.com/in/agustinus-kristiadi/
Github
https://github.com/wiseodd
Twitter
https://twitter.com/akristiadi7

Interests

Bayesian deep learning
Riemannian and information geometry

Education

University of Tübingen, Germany

Ph.D., Computer Science, 2019-2022
Topic: Bayesian Deep Learning
Thesis: Low-Cost Bayesian Methods for Fixing Neural Networks' Overconfidence

University of Bonn, Germany

M.Sc., Computer Science, 2017-2019
Focus: Theoretical Computer Science, Intelligent Systems
Grade: 1.1 (3.9 GPA equivalent)

Universitas Atma Jaya Yogyakarta, Indonesia

B.Eng., Informatics Engineering, 2009-2013
Focus: Numerics, Soft Computing
Thesis: Parallel Particle Swarm Optimization for Image Segmentation
GPA: 3.9

Teaching

University of Tübingen

Supervision
Philipp von Bachmann, 2021
Naman Deep Singh, 2021
Tobias Ludwig, 2020
Runa Eschenhagen, 2020
Courses
Tutor, Data Literacy, Winter Semester 2021-2022
Tutor, Probabilistic Machine Learning, Summer Semester 2021
Tutor, Data Literacy, Winter Semester 2020-2021
Tutor, Probabilistic Machine Learning, Summer Semester 2020
Tutor, Data Literacy, Winter Semester 2019-2020

Universitas Atma Jaya Yogyakarta

Courses
Tutor, Advanced Data Structure, 2012
Tutor, Database, 2011

Academic Experience

Methods of Machine Learning group, University of Tübingen

Research Assistant, 2019-

Smart Data Analytics (SDA) group, University of Bonn

Student Research Assistant, 2017-2019

Universitas Atma Jaya Yogyakarta

Research Assistant, 2016-2017

Industry Experience

GDP Labs

Software Engineer, 2013-2015

Astra International

Software Engineering Intern, 2012

Languages

English
Indonesian
Javanese
German (limited)