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Amanzadeh, Moe
ACADEMIC DEPARTMENT
Cybersecurity
Cybersecurity
ACADEMIC SCHOOL
School of Arts and Sciences
TITLES/RESPONSIBILITIES
School of Arts and Sciences
Adjunct Instructor ACADEMIC DEGREES
- Ph.D., Artificial Intelligence Applications in Mechanical and Mining Engineering, The University of Queensland, present
- M.Phil., Mining Engineering, The University of Queensland, 2013
- M.E., Electrical Engineering, The University of Queensland, 2011
Amanzadeh has a Master’s in Electrical Engineering and a Master of Philosophy in Mining Engineering from The University of Queensland in 2011 and 2013; where he finished as a top 1% graduate in all categories. He is currently finalizing his Ph.D. in artificial intelligence applications in mechanical and mining engineering at The University of Queensland; developing revolutionary robotic algorithms for shape sensing using optimization and statistical methods to increase drilling accuracy in mining. Amanzadeh was previously a visiting researcher at Max Planck Institute in Germany and San Jose State University.
Amanzadeh has been a seasonal academic and project leader at the University of Queensland, Australia, and has extensive public speaking and teaching experience in various engineering courses and international conferences in AI, data science, robotics, and the resources industry.