David Darian Muresan, Ph.D.
Teaching Professor,
Department of Systems Engineering
Stevens Institute of Technology
David Darian Muresan, Ph.D.
Teaching Professor,
Department of Systems Engineering
Stevens Institute of Technology
Embedded Files
Teaching Professor,
Department of Systems Engineering
Stevens Institute of Technology
My research focuses on developing software tools, hardware systems, processes, frameworks, and technologies to efficiently collect and process data from sensors, control hardware, and extract actionable insights using image processing, signal processing, computer vision, and machine learning algorithms.
My research focuses on developing software tools, hardware systems, processes, frameworks, and technologies to efficiently collect and process data from sensors, control hardware, and extract actionable insights using image processing, signal processing, computer vision, and machine learning algorithms.
I conceptualize my research interests through a sunflower model. At its core is a robust foundation of data acquisition processes, software libraries, software development kits (SDKs), and hardware that enable seamless data collection, processing, and interaction with the physical world. The petals of the sunflower represent the application of this core framework to a variety of industries. These include the integration of image processing, signal processing, machine learning algorithms, and systems engineering processes into fields such as geospatial, medical, eCommerce, financial, industrial, gaming, and beyond. This model highlights the interplay between a strong central framework and the adaptability required to innovate across diverse industries, creating impactful solutions.
I conceptualize my research interests through a sunflower model. At its core is a robust foundation of data acquisition processes, software libraries, software development kits (SDKs), and hardware that enable seamless data collection, processing, and interaction with the physical world. The petals of the sunflower represent the application of this core framework to a variety of industries. These include the integration of image processing, signal processing, machine learning algorithms, and systems engineering processes into fields such as geospatial, medical, eCommerce, financial, industrial, gaming, and beyond. This model highlights the interplay between a strong central framework and the adaptability required to innovate across diverse industries, creating impactful solutions.
Education
Education
- PhD (2002), Cornell University – Electrical and Computer Engineering
- M Eng (1997), Cornell University – Electrical and Computer Engineering
- BS (1996), University of Washington – Electrical and Computer Engineering
- BS (1996), University of Washington – Mathematics
Industry Experience
Industry Experience
- Chief Technical Officer and Partner (past): Iconasys
- Senior Scientist and Partner (past): Geospatial Intelligence and Analysis (GIA), Springfield, VA
- Chief Software Architect (past): Leidos and SAIC, Alexandria, VA
- Chief Technology Officer (past): Van Gogh Imaging, Inc. (VGI), Springfield, VA
- Scientific, Engineering, and Technical Assistance (SETA) (past): Defense Advanced Research Projects Agency (DARPA), Arlington, VA.
- Hardware Design Engineer (past): Hewlett-Packard (now Keysight), Rohnert Park, CA
This blend of academic and industry experience underscores my commitment to bridging foundational research with practical, real-world applications across multiple sectors.
This blend of academic and industry experience underscores my commitment to bridging foundational research with practical, real-world applications across multiple sectors.
Page updated
Report abuse