David Darian Muresan

The thesis of my research interest is to “develop software tools, hardware, processes, frameworks and systems that can be used to efficiently collect and process data from sensors to control hardware, and to use image processing, signal processing, computer vision, and machine learning algorithms to extract useful and actionable information from data.”

The totality of my research interests can be described using a sunflower model. At the center of the sunflower is a set of processes, data acquisition and processing software libraries, software development kits (SDKs), and hardware that provide data acquisition, processing, and interaction with the real world. The petals of the sunflower are the application of the framework to different industries. The petals of the sunflower are the image processing, signal processing, and machine learning algorithms, together with systems integration processes, applied to specific industries: geospatial, medical, eCommerce, financial, industrial, gaming and more.

Industry experience:

► Chief Technical Officer and Partner: Iconasys.com
► Chief Technical Office and Founder: DMMD (dba: https://pictomic.com)
► Senior Scientist and Partner: Geospatial Intelligence and Analysis (GIA), Springfield VA.
► Chief Software Architect: Leidos and SAIC, Alexandria VA.
► Chief Technology Officer: Van Gogh Imaging, Inc. (VGI), Springfield VA.
► Hardware Design Engineer: Hewlett Packard (now Keysight), Rohnert Park, CA.

Available to provide consulting services in systems engineering, with particular focus in the development of hardware and software systems based on image processing, signal processing, computer vision, and data acquisition.

► Teaching Professor in the Department of Systems and Enterprises (SSE).

Co-Founder or Partner:

► Iconasys.com
► Digital Multi-Media Design (DMMD) -- dba: https://pictomic.com
► Geospatial Intelligence and Analysis (GIA)
► Van Gogh Imaging, Inc. (VGI)

► 2024 Henry Morton Distinguished Teaching Professor Award

[1] D. Darian Muresan and Andrew Weitz Real Time 3D Vehicle Based LIDAR Scanning System, Patent No. 7,752,483, July 6, 2010.
[2] D. Muresan and D. Darian Muresan Multi-Flash Analog to Digital Converter Using Floating Voltages, Patent No. 6,091,346, July 18, 2000.
[3] D. Darian Muresan and D. Muresan Procedure to Attach a Lamp on the Ceiling, Patent No. 6,609,692, August 2003.
[4] D. Darian Muresan and D. Muresan Fast Edge Directed Polynomial Interpolation, Patent No. 7,212,689 B2.
[5] D. Darian Muresan and D. Muresan Computer Mouse, Patent No. 7,015,895.
[6] D. Darian Muresan and D. Muresan Synchronized Processing of Views and Drawing Tools In a Multiple Document Interface Application, Patent pending, 2003.
[7] D. Darian Muresan Fast Edge Directed Demosaicing, Patent No. 7,525,584 B2.
[8] D. Darian Muresan and D. Muresan Moving-Pixel Procedure for Digital Picture Edge-Smoothing Procedure for Digital Picture Edge-Smoothing Patent No. 6,885,383.

Google Scholar:

https://scholar.google.com/citations?hl=en&user=JCItc00AAAAJ

Journal Publications:

[1] D. D. Muresan and T.W. Parks, Orthogonal, Exactly Periodic Subspace Decomposition, IEEE Journal On Signal Processing. Sept. 2003 Page(s): 2270-2279.
[2] D. D. Muresan and T. W. Parks, Adaptively Quadratic (AQua) Image Interpolation, IEEE Journal on Image Processing, May 2004, Volume 13, Number 5, Pages: 690-698.
[3] D. D. Muresan and T. W. Parks, Demosaicing Using Optimal Recovery, IEEE Journal on Image Processing, February 2005, Volume 14, Number 2, Pages: 267-278.

Conference Publications:

[1] D. D. Muresan, Fast, Adaptively Quadratic Image Interpolation, International Conference on Image Processing, Genoa, Italy 2005.
[2] D. D. Muresan and T. W. Parks, Adaptive Principal Components and Image Denoising, IEEE International Conference on Image Processing (ICIP), Barcelona 2003.
[3] D. D. Muresan and T. W. Parks Optimal Face Reconstruction Using Training, IEEE International Conference on Image Processing (ICIP) 2002, Rochester, NY.
[4] D. D. Muresan and T. W. Parks Optimal Recovery Demosaicing, IASTED Signal and Image Processing, Hawaii 2002.
[5] D. D. Muresan and T.W. Parks Optimal-Recovery Approach to Image Interpolation, IEEE International Conference on Image Processing (ICIP), Greece, 2001.
[6] D. D. Muresan and T.W. Parks Adaptive, Optimal-Recovery Image Interpolation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, Utah, 2001.
[7] K Kinebuchi, D. D. Muresan, and T.W. Parks Image Interpolation using Wavelet-Based Hidden Markov Trees, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, Utah, 2001.
[8] D. D. Muresan and T.W. Parks Prediction of Image Detail, IEEE International Conference on Image Processing (ICIP), Vancouver, 2000.
[9] D. D. Muresan and T. W. Parks A New Approach to Period Estimation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Turkey, 2000.
[10] D. D. Muresan and T. W. Parks Orthogonal Subspace Decomposition of Periodic Signals, Conference Record of the Thirty-Third Assilomar Conference on Signals, Systems and Computers, 1999

Workshop Publications:

[1] D. D. Muresan and T. W. Parks Image Interpolation Techniques Using Adaptive Linear Functions and Domains, IEEE Western New York Image Processing Workshop, 2001.
[2] D. D. Muresan and T. W. Parks New Image Interpolation Techniques, IEEE 2000 Western New York Image Processing Workshop, Oct. 13, 2000.
[3] D. D. Muresan, Steve Luke, and T. W. Parks Reconstruction of Color Images from CCD Arrays, Texas Instruments DSP Fest, Houston TX, August 2000.
[4] D. D. Muresan, Ashish Raj, Harold K. Figueroa and T. W. Parks Review of Image Interpolation Techniques, IEEE Western New York Image Processing Workshop, 1999.
[5] D. D. Muresan and T. W. Parks Orthogonal Subspace Decomposition Of Periodic Signals, Texas Instruments DSP Fest, Houston TX, August 1999.

► Software Engineering Design VII & VIII (SSW-423 & 424)
► Software Requirements Analysis and Engineering (SSW-564)
► Model-based Software Engineering (SSW-345)
► Software Architecture & Component-Based Design (SSW-565)
► Digital System Design with FPGAs (VHDL) and ASICs (CPE-487)
► Senior Innovation and Venture Planning (IDE-400, 401, 402)
► Pre-College Program of Exploring Career Options in Engineering and Science (ECOES)