Shuhao Zhang (张书豪)
Postdoctoral ResearcherTechnische Universität Berlin
Database Systems and Information Management Group (DIMA)
Office: EN level 7 Room 721, Einsteinufer 17, EN721 Technische Universität Berlin, 10587 Berlin Germany
tel: +49 3031476663
NEWS: I'll be starting as a tenure-track Assistant Professor at the Singapore University of Technology and Design (SUTD), Singapore in early 2021. I have a few positions for full PhD scholarhip at SUTD [More Information]
Shuhao Zhang will be joining ISTD Pillar of SUTD as a faculty in early 2021. He is currently a postdoctoral researcher at Technische Universität Berlin working with Prof.Volker Markl on the topic of data stream processing and management.
He obtained his Ph.D. degree from the school of computing at National University of Singapore in 2019, under the supervision of Prof. Bingsheng He.
He had previously worked as Research Scientist/Assistant with Prof. Bingsheng He, Dr. Daniel Dahlmeier, and Dr. Khin Mi Mi Aung at NUS, SAP and I2R.
He had published a list of papers in top-tier conferences and journals including SIGMOD, VLDB, ICDE, ATC and TPDS.
He is also the first inventor of two patents registered in the US.
His current research interest include big data management systems (with special interests in stream processing and timeseries management), distributed and parallel computing and emerging ML/AI applications.
[Hardware Conscious Stream Processing]
FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures [Paper]
To appear in the USENIX Annual Technical Conference (USENIX ATC), 2020.
Towards Concurrent Stateful Stream Processing on Multicore Processors [paper]
Proceedings of the 36st IEEE International Conference on Data Engineering (ICDE), 2020.
Hardware-Conscious Stream Processing: A Survey [Paper]
ACM SIGMOD Record (SIGMOD Rec), Volume: 48 , Issue: 4 , December 31 2019.
Proceedings of the 2019 International Conference on Management of Data (SIGMOD), 2019.
Proceedings of the 33st IEEE International Conference on Data Engineering (ICDE), 2017.
[Hardware Conscious Batch Processing]
Understanding Co-running Behaviors on Integrated CPU/GPU Architectures [Paper]
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 28 , Issue: 3 , March 1 2017.
Melia: A MapReduce Framework on OpenCL-Based FPGAs [Paper]
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 27 , Issue: 12 , Dec. 1 2016.
Elastic Multi-Resource Fairness: Balancing Fairness and Efficiency in Coupled CPU-GPU Architectures [Paper]
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2016.
Proceedings of the 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2015. (short-paper)
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures [Paper]
Proceedings of the 39th International Conference on Very Large Data Bases (VLDB), 2013.
[Stream Processing and Machine Learning Applications and Optimizations]
NebulaStream: Complex Analytics Beyond the Cloud
To appear in International Workshop on Very Large Internet of Things (VLIoT), 2020. (vision paper)
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
To appear in International Joint Conference on Artificial Intelligence --Pacific Rim International Conference on Artificial Intelligence (IJCAI), 2020.
TraV: An Interactive Trajectory Exploration System For Massive Data Sets [Paper]
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data (IEEE BIGMM), 2019. (demo)
Multi-Query Optimization for Complex Event Processing in SAP ESP [Paper]
Proceedings of the 33st IEEE International Conference on Data Engineering (ICDE), 2017. (Industrial and Application)
[Program Committee Member]
Disclaimer: The publications (pdf) are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders (e.g., ACM and IEEE). All Rights Reserved to Shuhao Zhang © 2020