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Bio

Hi! I am Hao Wang. My research interests are in object detection and pose estimation, and their application in robotics and manufacturing. I have background in signal and image processing, embedded system, machine learning, computer vision, and automation. In 2026, I received my Ph.D. in Product and Production Development from Chalmers University of Technology. In 2019, I received my M.Sc. with Distinction in Informatics from The University of Edinburgh. In 2018, I received my B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications.

Education

Ph.D. in Product and Production Development, Chalmers University of Technology, 2021–2026
M.Sc. in Informatics, The University of Edinburgh, 2018–2019
B.Eng. in Telecommunication Engineering, Beijing University of Posts and Telecommunications, 2014–2018

Publication

Google Scholar
--- Journal ---
Vision-based human–robot collaboration for wire harness assembly in automotive manufacturing
Robotics and Computer-Integrated Manufacturing (2027)
Hao Wang, Omkar Salunkhe, Annalena Hartmann, Sven Ekered, Patrick Bründl, Jörg Franke, Johan Stahre, Björn Johansson
Accelerating industrial vision: Systematic robot-assisted dataset preparation for object detection and pose estimation
Engineering Applications of Artificial Intelligence (2026)
Hao Wang, Gonzalo Urbanos Uriel, Karim El-Nahass, Sven Ekered, Björn Johansson
Challenges and opportunities to advance manufacturing research for sustainable battery life cycles
Frontiers in Manufacturing Technology (2024)
Björn Johansson, Mélanie Despeisse, Jon Bokrantz, Greta Braun, Huizhong Cao, Arpita Chari, Qi Fang, Clarissa A González Chávez, Anders Skoogh, Henrik Söderlund, Hao Wang, Kristina Wärmefjord, Lars Nyborg, Jinhua Sun, Roland Örtengren, Kelsea A. Schumacher, Laura Espinal, K. C. Morris, Jason Nunley Jr., Yusuke Kishita, Yasushi Umeda, Federica Acerbi, Marta Pinzone, Hanna Persson, Sophie Charpentier, Kristina Edström, Daniel Brandell, Maheshwaran Gopalakrishnan, Hossein Rahnama, Lena Abrahamsson, Anna Öhrwall Rönnbäck, Johan Stahre
A systematic literature review of computer vision applications in robotized wire harness assembly
Advanced Engineering Informatics (2024)
Hao Wang, Omkar Salunkhe, Walter Quadrini, Dan Lämkull, Fredrik Ore, Mélanie Despeisse, Luca Fumagalli, Johan Stahre, Björn Johansson
Beyond 3DMM: Learning to capture high-fidelity 3D face shape
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)
Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
--- Conference ---
Developing code agents for robot programming: technical and managerial perspectives
2025 IFIP International Conference on Advances in Production Management Systems (APMS)
Omkar Salunkhe, Clarissa A. González Chávez, Hao Wang, Anna Syberfeldt, David Romero & Johan Stahre
Overview of computer vision techniques in robotized wire harness assembly: Current state and future opportunities
2023 CIRP International Conference on Manufacturing Systems (CIRP CMS)
Hao Wang, Omkar Salunkhe, Walter Quadrini, Dan Lämkull, Fredrik Ore, Björn Johansson, Johan Stahre
Review of current status and future directions for collaborative and semi-automated automotive wire harnesses assembly
2023 CIRP International Conference on Manufacturing Systems (CIRP CMS)
Omkar Salunkhe, Walter Quadrini, Hao Wang, Johan Stahre, David Romero, Luca Fumagalli, Dan Lämkull
Battery production systems: State of the art and future developments
2023 IFIP International Conference on Advances in Production Management Systems (APMS)
Mélanie Despeisse, Björn Johansson, Jon Bokrantz, Greta Braun, Arpita Chari, Xiaoxia Chen, Qi Fang, Clarissa A. González Chávez, Anders Skoogh, Johan Stahre, Ninan Theradapuzha Mathew, Ebru Turanoglu Bekar, Hao Wang, Roland Örtengren
Deep learning-based connector detection for robotized assembly of automotive wire harnesses
2023 IEEE International Conference on Automation Science and Engineering (CASE)
Hao Wang, Björn Johansson
Face forgery detection by 3D decomposition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Oral)
Xiangyu Zhu*, Hao Wang*, Hongyan Fei, Zhen Lei, Stan Z. Li (*Equal contribution)
Beyond 3DMM space: Towards fine-grained 3D face reconstruction
2020 European Conference on Computer Vision (ECCV)
Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
--- Report ---
2024 World manufacturing report - New perspectives for the future of manufacturing: Outlook 2030
World Manufacturing Foundation (2024)
2023 World manufacturing report - New business models for the manufacturing of the future
World Manufacturing Foundation (2023)
--- Thesis ---
Computer vision for non-rigid object assembly automation: With applications in automotive wire harness assembly
Doctoral thesis, 2026
Toward Enabling Robotic Visual Perception for Assembly Tasks: An Application in Wire Harness Assembly onto Electric Vehicles
Licentiate thesis, 2024
Gender identification from 3D facial surface model
Master thesis, 2019
Realization of image super-resolution by implementing convolutional neural network on sub-pixel
Bachelor thesis, 2018

Research Projects

MAXBATT - Centre for Battery Manufacturing, Products and Systems
Region Västra Götaland, 2025-2028
Code Agents: AI-powered end-to-end solutions for flexible manufacturing
VINNOVA, 2024-2025
PLENary multi-User developMent arena for future industrial workspaces (PLENUM)
VINNOVA, 2022-2025
Boosting the Exploitation of Standardisation Inputs from European Projects (STAND4EU)
EU, 2022-2024
Empowering Human Workers for Assembly of Wire Harnesses (EWASS)
VINNOVA, 2022-2025
DIGITAL work InStructions for cognitive work (DIGITALIS)
VINNOVA, 2022-2024
A Pan-European Network of Robotics DIHs for Agile Production (DIH2)
EU, 2019-2023

Other Research Experience

Research Intern, Oct. 2019 - June 2021
Center for Biometrics and Security Research (CBSR) & National Laboratory of Pattern Recognition (NLPR)
Institute of Automation, Chinese Academy of Sciences (CASIA)
Undergraduate Research Assistant, May 2017 - Oct. 2017
Next Generation Internet Research Center
Beijing University of Posts and Telecommunications (BUPT)

Contact

Feel free to get in touch! I'll get back to you ASAP :D

       
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