Moe Amanzadeh

Moe Amanzadeh is an Adjunct Instructor in the Department of Cybersecurity within the School of Arts and Sciences at St. Bonaventure University. He holds advanced degrees from The University of Queensland and is currently finalizing his Ph.D. in artificial intelligence applications for mechanical and mining engineering. His academic trajectory includes international research engagements and extensive teaching experience.

Education

• Ph.D., Artificial Intelligence Applications in Mechanical and Mining Engineering, The University of Queensland (in progress)
• M.Phil., Mining Engineering, The University of Queensland, 2013
• M.E., Electrical Engineering, The University of Queensland, 2011

Research Focus

Amanzadeh's research spans robotics algorithm development for industrial applications, particularly in shape sensing and drilling accuracy optimization. His interdisciplinary work bridges artificial intelligence, data science, and engineering systems, with emphasis on real-world implementations in mining and cybersecurity domains.

Honors & Awards

• Recognized as top 1% graduate across all academic categories at The University of Queensland

Professional Engagements

He has served as seasonal academic and project leader at The University of Queensland, with visiting researcher positions at Max Planck Institute (Germany) and San Jose State University. His teaching portfolio includes engineering courses and international conference presentations focused on AI, robotics, and industrial applications.