Bio

Gabriel Haas received his B.Sc. in Computer Science from the Technical University of Munich (TUM) in 2016 and his M.Sc. in Software Engineering from the TUM, LMU, and the University of Augsburg in 2019.

He joined the Chair of Decentralized Information Systems and Data Management at TUM in 2022 as a Ph.D. candidate. His research interests include database systems for fast NVMe storage arrays and modern storage technologies.

Publications

DFG SPP	Managing Very Large Datasets on Directly Attached NVMe Arrays Gabriel Haas, Adnan Alhomssi, Viktor Leis  Part of the SPP 2037 Book on Scalable Data Management for Future Hardware PDF
VLDB 2023	What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines Gabriel Haas, Viktor Leis  PDF
CIDR 2020	Exploiting Directly-Attached NVMe Arrays in DBMS Gabriel Haas, Michael Haubenschild, Viktor Leis PDF

Thesis Topics

I currently have the following ideas for theses:

• What happens to LeanStore's MVCC / Snapshot Isolation when running thousands of simultaneous active user-space threads­­­­­­­­­­­­/transactions? (see: https://www.vldb.org/pvldb/vol16/p1426-alhomssi.pdf) [Requires high motivation and good C++ knowledge.]

If you are interested in a topic, please read this first www.cs.cit.tum.de/dis/teaching/student-thesis/ and contact me by mail.