About me

Research

My primary interests in research are [updated Sep-2024]:

• Hyperparameter Optimization
• Data-efficient Learning
• Large Language Models
• AutoRL
• Learning on Tabular Data

International research stays and cooperations

• 04/24/2017 - 05/13/2017: Research stay at the George Mason University, Fairfax at the Department of Computational and Data Sciences (CDS)
• 09/22/2016 - 12/17/2016: Research stay at the University of California, Berkeley at the Berkeley Institute for Data Science (BIDS)
• 07/29/2016 - 08/10/2016: Research stay at the Hong Kong University of Science and Technology and University of Hong Kong
• 09/10/2015 - 09/25/2015: Research stay at the University of California, Berkeley at the Berkeley Institute for Data Science (BIDS)

Misc.

Peer reviewed for conferences in …

• 2015: CIKM'15, SIGSPATIAL'15
• 2016: SIGSPATIAL'16, KDD'16, SSDBM'16
• 2017: ICDE'17, DASFAA'17, KDD'17, VLDB'17
• 2018: ICDE'18, DASFAA'18, CIKM'18
• 2019: VLDB'19
• 2020: SDM'20, DAMI'20
• 2021: ICDM'21, ECMLPKDD'21
• 2023: SIGMOD'23, EJOR'23
• 2024: ECML PKDD'24 [PC Member], EJOR'24

Supervised Theses:

• MT - "Attention-driven Learning of Temporal Abstractions in deep Reinforcement Learning"
• MT - "Relation Disambiguation in Knowledge Graphs"
• MT - "Application of Energy Consumption Forecasts using Deep Learning"
• MT - "Analysis Framework for spatio-temporal soccer data"

[wip: work in progress]