Huanzhuo Wu

M.Sc. Huanzhuo Wu

PhD Researcher

Huanzhuo Wu is a Ph.D. researcher at the Deutsche Telekom Chair of Communication Networks (ComNets) at TU Dresden, Germany. His work includes contributing to research projects, teaching, and supervising students of the faculty. His particular research interest is Big Data analysis on Blind Source Separation (BSS) and COmputing In the Network (COIN).

From 2017 to 2020, he worked on a research project named 5Gang, together with Ericsson, Robert Bosch GmbH, RWTH Aachen, and other key partners. He is the lead of the research project with the name of Software Campus NetBliSS starting 2021, in cooperation with Huawei Munich Research Center. Both projects are funded by the Federal Ministry of Education and Research Germany (BMBF). Huanzhuo holds a Master of Science in Computer Science at TU Dresden with honors. During his studies, he worked as a student assistant and completed internships at BMW AG in 2015 and Audi AG in 2016. He received his Bachelor degree in Engineering with honors in Computer Science in 2011 from Chang’an University, China.

Contact

Phone: +49 351 463-38611
Email: huanzhuo.wu(at)tu-dresden.de

Research Interests

  • Algorithm Optimization for In-network Computing
  • End-to-end Transport Layer for In-network Computing

Teaching

SS 22

  • Cooperative Communication Systems

SS 21

  • Cooperative Communication Systems

WS 20/21

  • Problem-Based Learning

SS 20

  • Communication Networks 2

WS 19/20

  • Communication Networks 3
  • Oberseminar Kommunikationsnetze – TA

SS 19

  • Oberseminar Kommunikationsnetze – TA
  • Hauptseminar

WS 18/19

  • Oberseminar Kommunikationsnetze – TA

SS 18

  • Oberseminar Kommunikationsnetze – TA
  • Hauptseminar

WS 17/18

  • Oberseminar Kommunikationsnetze – TA

Supervision

Open Topics and SHK Positions

  • End-to-end Transport Layer for In-network Computing (knowledge of network stack and experience of ComNetsEmu)
  • Progressive ICA for In-network Computing (knowledge of statistic and experience of ComNetsEmu)
  • Information Abstraction for In-network Computing (knowledge of CNN and experience of ComNetsEmu)

Master Thesis

  • Streaming Data Management for COIN-enabled Blind Source Separation (26.02.2021 – 05.08.2021)
  • Computing in the Network for Cooperative Blind Source Separation (25.01.2021 – 05.07.2021)
  • Information Abstraction for Big Data Analysis: A Case Study of Multi-object Acoustic Anomaly Detection (09.11.2020 – 19.04.2021)
  • Blind Source Separation based Anomaly Detection (06.08.2018 – 11.01.2019)
  • Compressed Sensing and Blind Source Separation based Audio Signal Analysis (26.04.2018 – 04.10.2018)

Bachelor Thesis

  • Audio Signal based Anomaly Detection (03.04.2020 – 07.07.2020)

StudentThesis

  • Fast Source Separation (08.07.2019 – 15.11.2019)

Hauptseminar/Oberseminar/Actual Topics

  • Green In-network Computing – OS (WS 21/22)
  • Cooperative Blind Source Separation – PBL (WS 20/21)
  • Blind Source Separation Testbed (SS 19)
  • Build a XDK Network for IoT – HS (SS 17)

Review / TPC member service

  • IEEE Transactions on Very Large Scale Integration Systems
  • Reviewer IEEE European Wireless 2021
  • Reviewer IEEE Globecom 2020

Publications

20 entries « 1 of 2 »

2022

Zhang, Jiajing; Wu, Huanzhuo; Shen, Shiwei; Bassoli, Riccardo; Nguyen, Giang T.; Fitzek, Frank H. P.

Evaluation of an Intelligent Task Scheduling Algorithm for 6G 3D Networking Inproceedings

In: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022), Palermo, Italy, 2022.

BibTeX

Wu, Huanzhuo; He, Jia; Tömösközi, Máté; Zhang, Jiajing; Fitzek, Frank H. P.

You Only Hear Once: Lightweight In-Network AI Design for Multi-Object Anomaly Detection Inproceedings

In: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022), Palermo, Italy, 2022.

BibTeX

Zhang, Jiajing; Wu, Huanzhuo; Bassoli, Riccardo; Bonetto, Riccardo; Fitzek, Frank H. P.

Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid Inproceedings

In: 2022 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC'22 - GCSN Symposium), Seoul, Korea (South), 2022.

Abstract | BibTeX

Wu, Huanzhuo; Shen, Yunbin; Tömösközi, Máté; Nguyen, Giang T.; Fitzek, Frank H. P.

Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories Inproceedings

In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), virtual, 2022.

Links | BibTeX

Tömösközi, Máté; Taghouti, Maroua; Wu, Huanzhuo; Fitzek, Frank H. P.

Bitteiler: Demonstration of Efficient and Private Massive Industrial IoT Communications Inproceedings

In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), virtual, 2022.

Links | BibTeX

2021

Wu, Huanzhuo; Shen, Yunbin; Xiao, Xun; Hecker, Artur; Fitzek, Frank H. P.

In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory Inproceedings

In: 2021 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom2021 IoTSN), Madrid, Spain, 2021.

BibTeX

Wu, Huanzhuo; He, Jia; Tömösközi, Máté; Xiang, Zuo; Fitzek, Frank H. P.

In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks Inproceedings

In: 2021 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2021 NGNI), Madrid, Spain, 2021.

BibTeX

Wu, Huanzhuo; Xiang, Zuo; Nguyen, Giang T.; Shen, Yunbin; Fitzek, Frank H. P.

Computing Meets Network: COIN-aware Offloading for Data-intensive Blind Source Separation Journal Article

In: IEEE Network Magazine, Special Issue , 2021.

BibTeX

Wu, Huanzhuo; He, Jia; Tömösközi, Máté; Fitzek, Frank H. P.

Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis Inproceedings

In: WS17 IEEE ICC 2021 Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (WS17 ICC'21 Workshop - CCN-CPS), Montreal, Canada, 2021.

Abstract | BibTeX

2020

Wu, Huanzhuo; Shen, Yunbin; Zhang, Jiajing; Salah, Hani; Tsokalo, Ievgenii A.; Fitzek, Frank H. P.

Adaptive Extraction-Based Independent Component Analysis for Time-Sensitive Applications Inproceedings

In: 2020 IEEE Global Communications Conference: Selected Areas in Communications: Internet of Things and Smart Connected Communities (Globecom2020 SAC IoTSCC), 2020.

BibTeX

20 entries « 1 of 2 »