Hadi Fekrmandi
Assistant Professor at South Dakota School of Mines and Technology- Claim this Profile
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Persian Native or bilingual proficiency
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Turkish Native or bilingual proficiency
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English Full professional proficiency
Topline Score
Bio
Credentials
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Learning Industrial Automation
LinkedInJan, 2023- Oct, 2024 -
Licensed Professional Engineer (P.E.)
State of California -
Robotics Certificate
Florida International University
Experience
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South Dakota Mines
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United States
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Higher Education
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400 - 500 Employee
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Assistant Professor
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Aug 2017 - Present
• Served as coordinator of Autonomous Intelligent Mechatronics (AIM) research group and validated Adaptive Neural Networks based method for AUV/UAV drone sensor/actuator fault detection, identification and recovery (FDIR) • Provided technical support in the form of mentoring and advising on data-driven approaches for structural health monitoring (SHM) of laminated aerospace composite plates • Assisted with development of bio-inspired NDT inspection robots for automation of complex pipeline maintenance • Engaged MS thesis advising over the project about camera vision-based robotic localization in relative pose-based guidance, navigation and control settings • Defined specifications of a new distributed state estimation with ability to handle acoustic communication network unreliability in heterogeneous multi-agent settings • Collaborated with colleagues to develop graduate level course titled: Special Topics on Prognostics and Health Management (PHM) • Engaged in a multi-institutional effort for Planning Reliable Precision Autonomous Farming through Integration of Energy Storage with Artificial Intelligence (AI)
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Florida International University: Applied Research Center
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United States
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Research Services
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1 - 100 Employee
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Postdoctoral Fellow: Sensors and Robotics Research Lab
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May 2015 - Aug 2017
• Designed, developed and tested ROBOTIC devices for an inspection task for U.S. Department of Energy, office of environmental management (DOE-EM). • Designed parts for additive manufacturing (AM) using SOLIDWORKS. • Designed and built an experimental set up to test the navigation and obstacle avoidance of inspection tool through simulated refractory air channels. • Designed, developed and tested ROBOTIC devices for an inspection task for U.S. Department of Energy, office of environmental management (DOE-EM). • Designed parts for additive manufacturing (AM) using SOLIDWORKS. • Designed and built an experimental set up to test the navigation and obstacle avoidance of inspection tool through simulated refractory air channels.
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Florida International University
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United States
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Higher Education
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700 & Above Employee
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Research Assistant: Mechatronics and Manufacturing Research Lab
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Aug 2011 - May 2015
• Developed hardware and software for a novel technique based on high-frequency surface guided waves (SGWs) with potential application in manufacturing process monitoring and structural health monitoring of aerospace structures. • Extensive experience with data acquisition (DAQ and LABVIEW), signal processing (MATLAB/SIMULINK) and data analysis (PYTHON,R). • Excelled in data analysis from various laboratory measurement instruments and sensory data including data from MEMS, piezoelectric (PZT) and scanning laser vibrometer (LSV) sensors. • Developed a digital signal processing (DSP) embedded hardware system for implementing multiple measurement tasks using the C/C++ programming. • Experience with multi-physics finite element analysis (FEA) (ANSYS and COMSOL) • Strong written communication skills and familiar with periodical reports, cost and time estimation and standard procedures documentation.
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Education
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2011 - 2014
Florida International University
Doctor of Philosophy (PhD), Mechanical Engineering -
2005 - 2008
University of Tabriz
Master of Science (M.S.), Mechanical Engineering
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