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Haijian Shao
Associate professor
Email:
jsj_shj@just.edu.cn
Office:
CS 9# 5th
Address:
666 changhui road
PostCode:
212003
Fax:
+86-511-8440901

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  • Introduction

    Ph.D. in Engineering from Southeast University, with experience as a Postdoc Fellow/Postdoctoral Researcher at the University of Nevada, Las Vegas. He is a member of the National Postdoctoral Association and an Academic Bridge Review Expert. Currently, he serves as an Associate Professor and Master's Research Supervisor in the fields of Computer Science and Technology, Software Engineering, Electronic Information and Artificial Intelligence. He has participated in the first high-speed railway track inspection project for Brightline West in the USA, served as a railway safety employee in Southern Nevada (Federal Railroad Administration 49 CFR Part 243), acted as a reviewer for the NASA EPSCoR project, and volunteered at a welfare home.

  • Research Focus

    Most of my current research focuses on advancing the analysis of medical images, including edge detection, texture features, morphological filtering, and building shape models and template matching, primarily using deep learning to implement the analysis of automated tasks in a data-driven manner and to automatically learn relevant model features and data characteristics from large data sets pertaining to specific problems. My research also focuses on the extensive integration of new time series and the newest generation of digital information technology in order to achieve extensive interconnection and intelligent interaction. (A complete list of published works can be found on the Google Scholar Profiles

    https://scholar.google.com/citations?user=d3mvChQAAAAJ&hl=en)

  • Education Background

    Ph.D., Doctor of Engineering, Recipient of the Phoenix Scholarship

    M.S., Master of Science in Natural Sciences, Recipient of the Outstanding Master's Thesis, Excellent Graduate and First-Class Scholarship

    B.S., Bachelor of Science in Management, Recipient of the Subject-Specific Scholarship

  • Teaching

    Fall 2016 - Spring 2017, undergraduate course Digital and Electronic Forensics

    Fall 2016 - Spring 2017, graduate course Image Understanding and Analysis

    Fall 2017 - Spring 2018, undergraduate courses Mathematics for Information Security and Discrete Mathematics

    Fall 2017 - Spring 2018, undergraduate course Digital and Electronic Forensics, graduate course Image Understanding and Analysis

    Fall 2018 - Spring 2019, undergraduate courses Mathematics for Information Security and Discrete Mathematics

    Fall 2018 - Spring 2019, international student course Operating Systems, undergraduate course Discrete Mathematics

    Fall 2019 - Spring 2020, undergraduate course Discrete Mathematics

    Fall 2020 - Spring 2021, undergraduate courses Principles of Communication and Signal Communication and Control Systems

    Fall 2020 - Spring 2021, graduate courses Neural Networks and Quantum Computing and Communication Technology

    Fall 2021 - Spring 2022, undergraduate course Signal Communication and Control Systems

    Fall 2021 - Spring 2022, undergraduate course Mathematics for Information Security

    Fall 2023 - Spring 2024, graduate course Communication Technology, international student course Operating Systems

    Fall 2024 - Spring 2025, undergraduate course IoT Communication Technology