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TU Berlin master’s student wins 2nd place at the SIGMOD 2020 Student Research Competition
TU Berlin’s student Hendrik Makait reached the 2nd place at the ACM SIGMOD 2020 Student Research Competition at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data with his paper “Rethinking Message Brokers on RDMA and NVM”. This is a joint work with the Data Engineering Systems Group at the Hasso Plattner Institute in Potsdam led by Prof. Rabl.
Prof. Dr. Kutyniok coordinates new DFG priority program on artificial neural networks
Prof. Dr. Gitta Kutyniok is coordinator of the new DFG (German Research Foundation) priority program „Theoretical Foundations of Deep Learning“, which aims to develop a comprehensive theoretical basis for artificial neural networks.
Dr. Huziel E. Sauceda nominated reviewer of the month by Communications Physics
Dr. Huziel E. Sauceda, postdoctoral researcher in Prof. Dr. Klaus-Robert Müller’s group, was nominated as Reviewer of the month by the Nature Research journal Communications Physics.
Database systems research paper accepted for publication in VLDB Vol. 13
The Paper “Dynamic Parameter Allocation in Parameter Servers” authored by Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch and Volker Markl from was accepted for publication in Proceedings of the VLDB Endowment Vol. 13.
Cloud computing contributes to cancer research
PCAWG, the largest cancer research consortium in the world, has set itself the task of improving our understanding of genetic mutations in tumors. A new study by the international research group, to which researchers in BIFOLD senior researcher Dr. Roland Schwarz’ group at the Max Delbrück Center for Molecular Medicine (MDC) substantially contributed, is now being published in the journal Nature.
New research fellow Olga Nicolaeva
Prof. Dr. Matteo Valleriani’s research group at MPIWG will expand by one research fellow: Olga Nicolaeva. In the frame of BIFOLD they will create a predictive Machine Learning model, which is able to establish a causal connection between distribution of ‘knowledge atoms’ (illustrations, tables, text parts) in the corpus of early modern textbooks on geocentric cosmology.
Paper on adaptive sampling and filtering for IoT accepted at DEBS 2020
The paper “A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things”, authored by D. Giouroukis et al. has been accepted for presentation at the 14th ACM International Conference on Distributed and Event-Based Systems (DEBS 2020), 13. – 17. July 2020 in Montreal, Canada.
BIFOLD researchers receive SIGMOD 2020 best paper award
Database systems researchers at TU Berlin, HPI and DFKI were highly successful this year. Four of their papers were accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data. And, in particular, one of the paper’s received the 2020 ACM SIGMOD Best Paper Award. The paper entitled “Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects,” by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl (now at HPI), and Volker Markl explores the use of GPUs to accelerate database query processing.
Machine Learning meets Quantum Physics
BIFOLD researchers contributed to an in-depth referenced work on the physics-based machine learning techniques that model electronic and atomistic properties of matter.
Researchers in Prof. Abedjan’s group win SIGMOD reproducibility award
The paper “Raha: A Configuration-Free Error Detection System” by Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, and Nan Tang won the ACM SIGMOD Most Reproducible Paper Award.