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Jianjia Wang

Ph.D., Assistant Professor, MIEEE, MIET, FHEA

Calculated based on number of publications stored in Pure and citations from Scopus
20162024

Research activity per year

Personal profile

Personal profile

I am currently working at XJTLU as the Assistant Professor in the School of AI and Advanced Computing. I received the Ph.D. degree from the Department of Computer Science at the University of York, U.K in 2018, and the M.Sc. degrees in Electronic Engineering from Hong Kong University of Science and Technology (HKUST) in 2013. Before joining XJTLU, I worked as lecturer at Shanghai University in the School of Computer Science and Engineering from 2018 to 2023. During Sept 2020 till 2022, I worked as adjunct professor at Rutgers, the State University of New Jersey USA, with Council on International Educational Exchange (CIEE), and an adjunct lecturer at Monash University. My research interests include statistical and structural pattern recognition, complex networks, information theory, thermodynamic and quantum statistics, especially in graph and network analysis. I received the Shanghai Pujiang Talent Award in 2021, and has been serving as the Associate Editor of Pattern Recognition Journal since 2022. I am now the reviewer of Pattern Recognition, Pattern Recognition Letters, Scientific Reports, CVPR, ICPR, BMVC, ICCV, etc.I am actively looking for self-motivated Ph.D. students or postgraduate and undergraduate students working on pattern recognition, machine learning, complex networks, network neuroscience, etc. If you are interested, please send me an e-mail with your CV or drop by my office. I will be happy talking with you. (Email: Jianjia.Wang@xjtlu.edu.cn)

Research interests

Statistical Mechanics in Pattern Recognition

Complex networks

Machine learning for graph and networks

Thermodynamic and quantum statistics

Information theory

Network neuroscience

Smart city and urban science

Experience

Assistant Professor, School of AI and Advanced Computing, XJTLU, 2023-present

Adjunct Professor, Rutgers, The State University of New Jersey, USA, Council on International Educational Exchange (CIEE), 2020-2022

Lecturer, School of Computer Science and Engineering, Shanghai University, 2018-2023

Teaching

DTS102TC Programming with C++

Awards and honours

2021-2023Shanghai Pujiang Talent Award, Science and Technology Commission of Shanghai Municipality

2021Best Teaching Award, ROSE Program, Rutgers, State University of New Jersey

2020-2022Outstanding/Meritorious Winner, Faculty Advisor in Mathematical Contest in Modeling (MCM)

2021Outstanding Supervisor Award, Undergraduate Academic Conference, Shanghai University

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 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production

Related documents

Education/Academic qualification

Ph.D. Computer Science, University of York, UK, 2018

MS.c. Electronic Engineering, Hong Kong University of Science and Technology (HKUST), 2013

B.Eng. Nanjing University of Posts and Telecommunications, 2011

Person Types

  • Staff

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