Shuhao Zhang

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Assistant Professor

Email: 
Website: https://intellistream.github.io/
Telephone: 64997153
Office #: 2.401.29
Pillar / Cluster: Information Systems Technology and Design
Research Areas:Software Design, Artificial and Augmented Intelligence, Data Science, Networked and Autonomous Systems

Biography

Shuhao Zhang is an Assistant Professor at the Singapore University of Technology and Design. Previously, he was a postdoctoral researcher at Technische Universität Berlin under Prof. Volker Markl. He earned his PhD and BEng from the National University of Singapore and Nanyang Technological University, respectively. His research focuses on designing database systems and big data processing frameworks for modern hardware (NUMA multicore, GPU, mobile CPUs) with a special interest in stream processing systems. His work has been published in top conferences/journals including SIGMOD, VLDB, ICDE, SC, USENIX ATC, IEEE TPDS, and IEEE TKDE. He has open-sourced most of his stream processing and database systems, including BriskStream (ICDE’17, SIGMOD’19), TStream/MorphStream (ICDE’20, SIGMOD’23), and OmniDB/FineStream (VLDB’13, ATC’20, TPDS’21).

Recent Services

  • PC Member: CIKM 2019, ICDCS 2020, HiPC 2020, CCgrid 2021, ICPP 2021, SC 2021, SC 2022, DEBS 2022, EDBT 2023, SC 2023, ICPP 2023 …
  • Invited Reviewer: TPDS, TKDE, TCC, ICPP, IS …

Selected Recent Publications

For the full list, please check out https://scholar.google.com/citations?user=Xwn7lCEAAAAJ

  • [SIGMOD’23] MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores. Yancan Mao, Jianjun Zhao, Shuhao Zhang, and Haikun Liu, Volker Markl. SIGMOD 2023 (Full Regular Research Track)
  • [ICDE’23] Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores. Xianzhi Zeng, and Shuhao ZhangICDE 2023 (Full Regular Research Track)
  • [SIGMOD’21] Parallelizing Intra-Window Join on Multicores: An Experimental Study. Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, and Volker Markl. SIGMOD 2021 (Full Regular Research Track)
  • [USENIX ATC’20] FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du. USENIX ATC 2020 (Full Regular Research Track)
  • [ICDE’20] Towards Concurrent Stateful Stream Processing on Multicore Processors. Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He. IEEE ICDE 2020 (Full Regular Research Track)
  • [SIGMOD’19] BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He. SIGMOD 2019 (Full Regular Research Track)
  • [ICDE’17] Revisiting the design of data stream processing systems on multi-core processors. Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze. IEEE ICDE 2017 (Full Regular Research Track)
  • [ICDE’17] Multi-Query Optimization for Complex Event Processing in SAP ESP. Shuhao Zhang, Hoang Tam Vo, Daniel Dahlmeier, Bingsheng He. IEEE ICDE 2017 (Industrial and Application Track)

Group Members

  • Xianzhi Zeng (PhD student; from: University of Electronic Science and Technology of China (BA))
  • Zhonghao Yang (PhD student; from: Singapore University of Technology and Design (BA))
  • Haolan He (Research assistant; from: Singapore University of Technology and Design (BA))
  • Yuhao Wu (Visiting student; from: Huazhong Agricultural University (BA))
  • Luv Singhal (UROP student; from: Singapore University of Technology and Design (BA))
  • Xin Wang (Remote visiting student; from: Sichuan University, China (BA))
  • Jianjun Zhao (Remote visiting student; from: Huazhong University of Science and Technology, China (PhD))
  • Zhengru Wang (Remote visiting student; from: Huazhong University of Science and Technology, China (BA))

Group Alumni

  • Huilin Wu (Master Student; Got full marks for his master thesis; from: Technical University of Berlin (MA))
  • Zhenyu Wu (Visiting research assistant; from: University of Edinburgh (MA))
  • Yancan Mao (Visiting PhD student; from: National Univeristy of Singapore (Phd))
  • Xuemeng Cai (Visiting student; from: Singapore University of Technology and Design (BA))
  • Chenyu Wang (Visiting student; from: Singapore University of Technology and Design (BA))
  • Yuan Li (Master Student; from: Technical University of Berlin (MA))

Recent Research Grants

  • Co-PI, SUTD KICKSTARTER INITIATIVE (SKI) (2022-2025), S$477k, PI: Meixia Lin 
  • Principal Investigator, Singapore Ministry of Education (MOE) Academic Research Fund (AcRF) Tier 2 (2022-2025), S$650k, Sole PI; Collaborators: Mian LuTony Quek 
  • Principal Investigator, FCP Research Grant (2022-2025), S$496k, Sole PI; Collaborators: Mian Lu
  • Principal Investigator, FCP Research Grant (2022-2025), S$496k, Co-PI: Binbin Chen
  • Principal Investigator, TL@SUTD Seed Grant (2023-2024), S$100k, Co-PI: Chunwei Seah, Wei Lu
  • Principal Investigator, TL@SUTD Seed Grant (2022-2023), S$67k, Co-PI: Wei Lu
  • Principal Investigator, SUTD-ZJU (VP) Grant (2022-2025), S$80k, Sole PI, Visiting Prof: Dongxiang Zhang
  • Principal Investigator, SUTD-Startup Grant (2021-2024), S$100k, Sole PI

Awards

  • Research Achievement Award, School of Computing, National University of Singapore, 2018-2019
  • Research Achievement Award, School of Computing, National University of Singapore, 2017-2018
  • SAP Industrial PhD Scholarship, 2014-2018
  • Dean’s List, School of Computer Engineering, Nanyang Technological University, 2010-2013
  • Singapore MOE Undergraduate Scholarship, 2010-2014

Research Interests

  • Transactional stream processing systems: stream processing + ACID
  • Network function virtualization (NFV) and Software-defined networking (SDN)
  • Energy-efficient distributed and parallel low latency data processing on novel hardware
  • Large-scale online machine learning and data stream mining at edges of cloud

Open Positions

Research Fellow (Postdoc)/Research Assistant/Visiting Students/PhDs/Interns positions are available. Please check out our recent projects to see if you are interested to join our team.

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