Associate Professor in mechanical engineering specialized in non-destructive evaluations and imaging systems, including optical metrology, digital holography, and tomographic methods.
Davood Khodadad is an accomplished academic and researcher with expertise in various areas of applied physics and electronics. He specializes in imaging systems, including optical metrology, industrial and biomedical imaging systems, digital holography, electrical impedance tomography, and X-ray tomographic methods. Throughout his career, he has made significant contributions to the development of advanced imaging techniques for applications in both industrial and medical area such as Nondestructive Testing (NDT), geometry and production quality control, intensive care units, and additive manufacturing verification.
Professional Experience
1. Associate Professor, Department of Applied Physics and Electronics, Umeå University (March 2020 - Present):
2. Assistant Professor, Örebro University (2019-2020):
3. Post-Doctoral Research Fellow, Waves, Signals and Systems Research Group, Linnaeus University (2016-2018):
Currently teaches the following courses:
• Introductory course in mechanical engineering
• Applied mechanics (statics and dynamics)
• Strength of materials
• Machine elements
Previously taught courses include:
• 3D CAD
• Digital Signal Processing
• Signals and systems
• Random Variables and Stochastic Processes
• Biomedical Signal Processing (BSP)
• Physics and Principles of Computed Tomography (CT)
• Fundamentals of Dosimetry
• Medical Physics
• Technical principles and maintenance of lab equipment
• General Physics
• General Mathematics
• Computer Applications in Medical Imaging (MATLAB)
• Statistics and Probability
• Differential Equations
Supervisional Experience
Supervised 39 Bachelor students and 3 postdoctoral students:
• Dr. Eng. Younes Mohammadi (2022 - 2024)
• Dr. Eng. Hamed Sabahno (2023 - Present)
• Dr. Eng. Vipin Tiwari (2025 - Present)
Davood Khodadad's expertise in imaging systems has been instrumental in advancing the field of applied physics and electronics. His research contributions encompass optical metrology, industrial and biomedical imaging systems, digital holography, electrical impedance tomography, and X-ray tomographic methods. His work has focused on developing advanced imaging techniques for a variety of applications in both industrial and medical domains, including geometry and quality control, intensive care units, and additive manufacturing verification. Through his teaching and supervision of students, he continues to inspire and educate the next generation of engineers and researchers in these areas.
Keywords
Mechanical Engineering, Medical Engineering, Electrical Engineering,Industrial Automation, Production Quality Control, Optical Metrology, Digital holography, Speckle Metrology, Shape Measurement, Non-Destructive Testing (NDT), Computed Tomography (CT), Electrical Impedance Tomography (EIT), Imaging and Image Formation, Signal and Image Analysis.
Currently teaches the following courses:
• Introductory course in mechanical engineering
• Applied mechanics (statics and dynamics)
• Strength of materials
• Machine elements
Previously taught courses include:
• 3D CAD
• Digital Signal Processing
• Signals and systems
• Random Variables and Stochastic Processes
• Biomedical Signal Processing (BSP)
• Physics and Principles of Computed Tomography (CT)
• Fundamentals of Dosimetry
• Medical Physics
• Technical principles and maintenance of lab equipment
• General Physics
• General Mathematics
• Computer Applications in Medical Imaging (MATLAB)
• Statistics and Probability
• Differential Equations