Dr. Shadi Abpeikar

Instructor

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Biography

Shadi Abpeikar is a Senior Research Associate at the University of New South Wales, Canberra, in the School of Engineering and Technology. He holds a Bachelor's degree in Applied Mathematics, as well as a Master's and a PhD in Computer Science from AmirKabir University of Technology in Iran, which he completed in 2019. Shadi has been recognized for his academic achievements, receiving an award for the highest graduation score from the Iran University of Science and Technology in 2011. His research interests include machine learning, swarm robotics, swarm intelligence algorithms, big data, feature selection, decision support systems, neural networks, neural trees, and intelligent transportation systems. He completed a sabbatical research project at the University of Udine in Italy in 2017 and has been active in various research initiatives since joining UNSW in July 2019. Shadi also has technical expertise in programming languages including C#, Python, Java, Android, MATLAB, and HTML.

Research Interests

Experience

Senior Research Associate

2019-07-01 — Present

University of New South Wales • Canberra, Australia

Conducting research in machine learning and swarm robotics.

Awards

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Highest Graduation Score

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Associate Fellowship Higher Education Academy (AFHEA)

Requirements for University of New South Wales

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.