PUBLICATIONS TEACHING FUNDINGS RESEARCH TALK SERVICE AWARDS

Tuo Shi

Postdoctoral Researcher

Department of Computer Science
Aalto University

Email
tuo.shi [AT] aalto.fi

Address
Konemiehentie 2,
Espoo, Finland


Hi, I am Tuo Shi, now a postdoctoral researcher at the Department of Computer Science, Aalto University, supervised by Prof. Mario Di Francesco and Prof. Bo Zhao. Previously, I was a postdoctoral researcher at the Department of Computer Science, City University of Hong Kong, supervised by Prof. Jianping Wang. Before that, I was an associate research fellow at the College of Intelligence and Computing, Tianjin University. I received my PhD degree in Computer Science (in 2021) from the Massive Data Computing Lab, Harbin Institute of Technology, advised by Prof. Jianzhong Li. I also worked as a visiting student at George Washington University from 2019 to 2020, advised by Prof. Xiuzhen Cheng.


My research focuses on resource-efficient computing for intelligent systems across diverse hardware and system scales, ranging from highly constrained edge devices, through real-time autonomous platforms, to large-scale machine learning infrastructures.
I investigate how to deliver reliable intelligence through theoretical modeling and system design, addressing diverse efficiency and performance trade-offs across energy, latency, resource utilization, and scalability.


PUBLICATIONS (Google Scholar)

Preprint

Selected Conference Papers

Selected Journal Papers

TEACHING

  • Fall 2024-2025. CS-E4780 Scalable Systems and Data Management, Aalto University. (Co-teacher)
  • Fall 2022. Operating System. Tianjin University. (Teaching Assistant)
  • Fall 2018. Database Management. Harbin Institute of Technology. (Teaching Assistant)
  • Spring 2016-2017. Computational Complexity. Harbin Institute of Technology. (Teaching Assistant)
  • Fall 2015. Data Structure. Harbin Institute of Technology. (Teaching Assistant)
  • Spring 2014. Compiler Principles. Harbin Institute of Technology. (Teaching Assistant)

Student Supervision

  • Master thesis project on "Observability in Machine Learning Systems Using eBPF", Mr. Ingi Þór Sigurðsson, January 2025-August 2025, Aalto University, Finland. (Co-Supervisor)
  • Master thesis project on "Performances and Trade-offs between Real-Time and Micro-Batch Distributed Stream Processing Systems in Stateful and Stateless Processing", Mr. Binh Pham, December 2024-June 2025, Aalto University, Finland. (Co-Supervisor)
  • Master thesis project on "Research on General DNN Inference Optimization Techniques for Resource-Constrained Edge Devices", Mr. Tao Wang, September 2022-June 2024, Tianjin University, China. (Supervisor) (The results have been published in IEEE INFOCOM 2024.)

FUNDINGS

  • IoT Data Enhanced DNN Inference in Collaborative Edge Computing. CCF-Baidu Open Fund, PI, Aug. 2021 – Aug. 2022.
  • Resources Allocation in Edge Servers for the Sensory Data Query. Young Scientists Fund of the National Natural Science Foundation of China, PI, Jan. 2023-Dec. 2025.

RESEARCH TALK

  • May 2025: Invited Talk at Helsinki CS Theory Seminar. Machine Learning Task Processing Under Resource Constraints. Aalto University, Finland.
  • August 2024: Invited talk at China Database Strategic Seminar Series. Task processing on Resource limited Edge networks. Virtual Event, China.
  • November 2022: Invited talk at the International Conference on Advanced Cloud and Big Data. Service Placement and Task Processing in Edge Computing. China.
  • July 2022: International Conference on Distributed Computing Systems (ICDCS). Query recombination: To process a large number of concurrent top-k queries towards IoT data on an edge server. Virtual Event, Bologna, Italy.
  • July 2022: Invited talk at Young Scholars Forum on IoT Big Data Processing, Virtual Event, China.
  • July 2019: International Conference on Distributed Computing Systems (ICDCS). The energy-data dual coverage in battery-free sensor networks. Dallas, USA.
  • May 2018: IEEE Conference on Computer Communications (INFOCOM). Coverage in battery-free wireless sensor networks. Honolulu, USA.
  • May 2017: IEEE Conference on Computer Communications (INFOCOM). Constructing connected dominating sets in battery-free networks. Atlanta, USA.
  • May 2016: IEEE Conference on Computer Communications (INFOCOM). Adaptive connected dominating set discovering algorithm in energy-harvest sensor networks. San Francisco, USA.

SERVICE

Program Committees

  • ACM International Conference on Information and Knowledge Management, (CIKM 2024)
  • International Workshop on Databases and Machine Learning, (DBML 2023, 2024)
  • IEEE International Conference on Sensing, Communication, and Networking, (SECON 2022, 2023)
  • International Conference on Wireless Algorithms, Systems, and Applications, (WASA 2021, 2022)

Peer Review

  • IEEE Transactions on Mobile Computing (TMC)
  • ACM/IEEE Transactions on Networking (TON)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Parallel and Distributed Systems (TPDS)
  • IEEE Transactions on Vehicular Technology (TVT)
  • IEEE Transactions on Wireless Communications (TWC)
  • IEEE Internet of Things Journal (IOT-J)
  • IEEE Transactions on Network Science and Engineering (TNSE)
  • IEEE Transactions on Sensor Networks (TOSN)

AWARDS

  • 2022 ACM SIGCOMM China Doctoral Dissertation Award
  • 2021 Outstanding Ph.D. Graduate in Harbin Institute of Technology
  • 2019 Baidu Scholarship Top 20
  • 2018 National Scholarship for Ph.D. candidate
  • 2015 National Scholarship for Ph.D. candidate