๐Ÿ”ฅ About me

Welcome to my personal page!

My name is Zhibo Zhang (ๅผ ๅฟ—ๅš), a Phd student at University of New South Wales, Canberra, School of Systems & Computing. My supervisors are Prof. Jiankun Hu and Prof. Hemanshu Pota I am also an external researcher of Khalifa University, C2PS advised by Prof. Ernesto Damiani and Dr. Chan Yeob Yeun. I am now trying to find opportunities in Australia in areas of engineering for internships. My research interests include smart grids, cyber-physical systems, healthcare, and explainable AI (XAI).

I graduated from Northwestern Polytechnical University with a bachelorโ€™s degree in Mechatronic Engineering. During my final year of my bachelorโ€™s, I studied at the National University of Singapore Suzhou Institute as an exchange student. And I finished my Final Year of Project advised by Dr. Peter C. Y. Chen there.

I graduated from Khalifa University with a masterโ€™s degree in Electrical and Computer Engineering. My advisors are Prof. Ernesto Damiani, Dr. Chan Yeob Yeun, and Dr. Fatma Taher at Center for Cyber-Physical Systems (C2PS).

๐Ÿ“– Educations


Northwestern Polytechnical University ๐Ÿ“… [Sep 2017 โ€“ Jun 2021]

Bachelor of Science in Mechatronic Engineering


  • Academic Grades:

    GPA: 85.38/100

  • *Courses:** C Programming, Linear Algebra, Probability Theory and Mathematical Statistics, Electronic Systems Modeling and Simulation and others.


National University of Singapore Suzhou Institute ๐Ÿ“… [Sep 2020 โ€“ Jun 2021]


  • Academic Grades:

    GPA: 89.42/100

  • *Courses:** Modern Control System, Microsystems Design and Applications and Fundamentals of Product Design and Development.

  • Project: Modeling of Human Navigation Behavior Using Reinforcement Learning.


Khalifa University ๐Ÿ“… [Sep 2021 โ€“ July 2023]

Master of Science in Electrical and Computer Engineering


  • Academic Grades:

    GPA: 3.84/4.0

  • Courses: Artificial Intelligence for Cyber Security, Advanced Operating Systems, Data Science, Advanced Computer Network, Deep Learning System Design and Simulation and 8 others.

  • Project: Suspicious Spam Filtering Using Explainable Artificial Intelligence.

๐Ÿ“ Publications

IEEE Access 2022
sym

Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research

Zhibo Zhang, Hussam Hamadi, Ernesto Damiani, Chan Yeob Yeun, Fatma Taher

IEEE Access 2022

PDF๐Ÿ“ƒ Project Page๐Ÿ”—

IEEE Access 2023
sym

Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals

Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi, Sangyoung Yoon, Ernesto Damiani, Claudio Agostino Ardagna, Nicola Bena, Chan Yeob Yeun

PDF๐Ÿ“ƒ Project Page๐Ÿ”—

๐Ÿ”ฅ News

  • 2023.10: ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE Sensors!
  • 2023.09: ๐ŸŽ‰๐ŸŽ‰ I arrive in Hong Kong SAR, China, and start my Research Assistant there!
  • 2023.07: ๐Ÿ‘จโ€๐ŸŽ“๐Ÿ‘จโ€๐ŸŽ“ I get my masterโ€™s degree!
  • 2023.01: ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by Energies!
  • 2022.12: ๐ŸŽ‰๐ŸŽ‰ I am awarded the Prize for Outstanding Young Researcher by Khalifa University!
  • 2022.08: ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE Access!
  • 2021.08: I arrive in Abu Dhabi, UAE, and start my masterโ€™s career there!
  • 2021.07: ๐Ÿ‘จโ€๐ŸŽ“๐Ÿ‘จโ€๐ŸŽ“ I get my bachelorโ€™s degree!

๐Ÿ“ Submitted Papers

  • 2023.07: Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification submitted to IEEE Transactions on Services Computing
  • 2023.06: A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning submitted to IEEE SENSORS, accepted
  • 2023.02: Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals submitted to IEEE ACCESS, accepted
  • 2023.01: Multi-Feature Data Fusion Based Load Forecasting of Electric Vehicle Charging Stations Using Deep Learning Model submitted to Energies, accepted
  • 2022.10: New Late Multi-Modal Fusion Frameworks for Detecting Hybrid Spam E-mail submitted to 2023 the 2nd International Conference on Mechatronics and Electrical Engineering (MEEE 2023), accepted
  • 2022.08: Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network submitted to International Conference on Cyber Resilience (ICCR 2022), accepted
  • 2022.08: Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research submitted to IEEE ACCESS, accepted
  • 2022.06: Person Monitoring by Full Body Tracking in Uniform Crowd Environment submitted to International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022), accepted

โœจ Technical Skills


  • Programming Languages:
    • Python, C/C++, SQL, MATLAB...
  • Script Tools/Text Editor/Management Tools:
    • Shell, Vim, Git, Latex, Office
  • Language:
    • Mandarin (Native)
    • English (IELTS: 7.5, W: 6.5, R: 9.0, L: 8.0, S:6.5)
    • Japanese (Beginner)
  • Media Processing:
    • Adobe PR, Adobe PS

โŒจ Projects

Suspicious Spam and Malware Filtering Using Explainable Artificial Intelligence

Python, LIME, SHAP

Feb 2022 - May 2023(expected)

  • Realize the filtering of suspicious spam messages in Internet using explainable AI. Different Machine Learning and Deep Learning algorithms including CNN, Decision Tree, Random Forest would be deployed whereas explainable approaches including LIME and SHAP would be utilized to provide good explanations for generated decisions.

Human Emotion Analysis based on EEG Signals

Python, Machine Learning, Biometrcis, Explainable Artificial Intelligence

Aug 2022 - June 2023

  • The identification of human emotional states based on EEG signals is effective to detect potential internal threats caused by insider individuals. Therefore, the generation and analysis of EEG data using state-of-the-art Machine Learning and Explainable Artificial Intelligence methods are the main aims of this project.

Modeling of Human Navigation Behavior Using Reinforcement Learning

Python, Reinforcement Learning

Oct 2020 - May 2021

  • Simple modeling of human behavior reacting to moving obstacles in an indoor environment.

  • The original video was gained from Suzhou Center Mall and the annotations were done in Computer Vision Annotation Tool(CVAT).
  • Q-Learning algorithm of Reinforcement Learning was utilized to model target humanโ€™s behavior.

๐Ÿ† Honors and Awards

  • Award for Outstanding Young Researcher, Khalifa University, Dec 2022
  • Mater of Research and Teaching Scholarship, Khalifa University, Sep 2021
  • Outstanding Undergraduate Scholarship of NPU; Dec 2019, Dec 2020
  • First Class Outstanding Undergraduate Scholarship of NPU; Dec 2018

๐Ÿ’ป Experiences


Graduate Record Examinations (GRE)

Apr 2021

  • Verbal: 156; Quantitative: 170; Writing: 3.0.

Teaching Assistant work at Khalifa University

Sep 2021 โ€“ Feb 2022

Teaching Assistant of undergraduate course๏ผŒ Introduction to Computing Using MATLAB(ENGR133)

Instructor: Dr. Jamal Alsawalhi

Sep 2022 โ€“ Feb 2023

Teaching Assistant of undergraduate course๏ผŒ Foundation of Computer Science(COSC101)

Instructor: Dr. Rabeb Mizouni


Zhibo Zhang