Zhegong Shangguan

Zhegong Shangguan

Dr

Personal profile

Overview

I am a Research Associate/Postdoctoral Researcher at the University of Manchester, specializing in cognitive robotics, human-robot interaction, and psychology. My research explores the development of human cognition, employing cognitive and developmental robotics approaches to investigate this process. By integrating these methodologies, I aim to enhance robots with advanced cognitive capabilities and expressive emotional interactions. Currently, I am working on the ERC-funded e-TALK project under the supervision of Prof. Angelo Cangelosi at the Cognitive Robotics Lab, University of Manchester.

I obtained my Ph.D. in Computer Science from École Nationale Supérieure de Techniques Avancées (ENSTA), Institut Polytechnique de Paris, where I conducted research at the U2IS (L'unité d'Informatique et d'Ingénierie des Systèmes) Laboratory under the supervision of Prof. Adriana Tapus. 

In addition to my research, I serve as a reviewer for leading journals and conferences, including The International Journal of Robotics Research (IJRR), the International Journal of Human-Computer Interaction (IJHCI), CSCW, IROS, and ICRA. I am also a member of the Editorial Board for Embodied Intelligence and Robotics and a committee member of the ECSCW 2025 Exploration Session.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Doctor of Philosophy, https://personalpages.manchester.ac.uk/staff/zhegong.shangguan/home.html, ENSTA Paris-tech Universite

1 Nov 20201 Nov 2024

Award Date: 19 Nov 2024

Areas of expertise

  • BF Psychology
  • Human Factors
  • Experimental Psychology
  • Human-Computer Interaction
  • QA75 Electronic computers. Computer science
  • Machine Learning
  • Computational Statistics
  • Robotics
  • Cognitive Robotics

Keywords

  • Cognitive Science
  • Human factors
  • Human-Centered AI
  • Machine Learning

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