Students

Doctoral Dissertations Directed

1. Hamed Elwarfalli, University of Dayton, 2023 (Electrical Engineering).

2. Supun Manawaduge de Silva, "Image Screening and Patient-Specific Lung Segmentation Algorithm for Chest Radiographs," University of Dayton, 2022 (Electrical Engineering).

3. Redha Ali, "IMNets: Deep Learning Using an Incremental Modular Network Synthesis Approach for Medical Imaging Applications," University of Dayton, 2021 (Electrical Engineering).

4. Richard van Hook, "Scene Motion Detection in Imagery with Anisoplanatic Optical Turbulence," University of Dayton, 2021 (Electrical Engineering).

5. Barath Narayanan Narayanan, “New classifier architecture and training methodologies for lung nodule detection in chest radiographs and computed tomography,” University of Dayton, December 2017 (Electrical Engineering).

6. Barry Karch, “ImprovedSuper-Resolution Methods for Division-of-Focal-Plane Systems in Complex andConstrained Imaging Applications,” University of Dayton, May 2015 (Electrical Engineering).

7. Khaled Mohamed Ahmied Mohamed, “ACollaborative Adaptive Wiener Filter for Image Restoration and Multi-FrameSuper-Resolution,” University of Dayton, May 2015 (Electrical Engineering).

8.  Bernard Olushola Abayowa, “Automatic Registration of Optical Aerial Imagery to a LiDAR Point Cloud for Generation of Large Scale City Models”,  University of Dayton, December 2013 (Electrical Engineering).

9. Timothy Tuinstra, “An artificial neural network approach to the segmentation of pulmonary nodules in computed tomography imagery,” University of Dayton, December 2008 (Electrical Engineering).

10. Doug Droege, “A MAP Estimator for Simultaneous Super-Resolution and Detector Nonuniformity Corection”, University of Dayton, May 2008 (Electrical Engineering).

11. Yong Lin, “Partition-Based Filters for Image restoration,” University of Dayton, December 2005 (Electrical Engineering).

12.  Balaji Narayanan, “Nonuniformity Correction for Focal Plane Arrays and Partition Based Superresolution of Video with Application to an Infrared Imaging System,” University of Dayton, December 2005 (Electrical Engineering).

13. Michael T. Eismann, “Application of the Stochastic Mixing Model to Hyperspectral Resolution Enhancement,” University of Dayton, May 2004 (Electro-Optics).

14. Frank O. Baxley, “High Resolution Image Reconstruction Using Color Constraints and Geometric Distortion,” University of Dayton, May 2001 (Electro-Optics).

15. Elizabeth Thompson, “Adaptive Nonlinear Filtering for Noise Suppression in Images,” University of Dayton, August 1999 (Electrical Engineering).

16.  Radaan Dosari, “Multichannel Nonlinear Filters for Signal and Image Restoration,” University of Dayton, August 1997 (Electrical Engineering).

17. Ahmad Sarhan, “Nonlinear Partition Based Filters for Signal Restoration,” University of Dayton, August 1996 (Electrical Engineering).

M.S. Theses Directed

1. Matthew Hoffmire, "Deep Learning for Anisoplanatic Optical Turbulence Mitigation in Long Range Imaging," University of Dayton, December 2020 (Electrical Engineering).

2. Nathan Kueterman, "Comparative Study of Classification Methods for the Mitigation of Class Imbalance Issues in Medical Imaging Applications," University of Dayton, May 2020 (Electrical Engineering).

3. Matthew J. Sprague, “A Genetic Algorithm Approach to Feature Selection for Computer Aided Detection of Lung Nodules,” University of Dayton, December 2016 (Electrical Engineering).

4. Redha A. Almahdi, “Recursive Non-Local Means Filter for Video Denoising,” University of Dayton, August 2016 (Electrical Engineering).

5. Jonathan Power, “Modeling Anisoplanatic Effects from Atmospheric Turbulence across Slanted Optical Paths in Imagery”, University of Dayton, May 2016 (Electrical Engineering).

6. Stephen Bricker, "Anomaly Detection and Microstructure Characterization in Fiber Reinforced Ceramic Matrix Composites," University of Dayton, 2015 (Electrical Engineering).

7. Ranga Burada, "Joint Resampling and Restoration of Hexagonally Sampled Images Using Adaptive Wiener Filter," University of Dayton, 2015 (Electrical Engineering).

8. Chris Morman, University of Dayton, 2015 (Electrical Engineering).

9. Michael A. Rucci, “Computationally Efficient Video Restoration for Nyquist Sampled ImagingSensors Combining and Affine-Motion Based Temporal Kalman Filter and AdaptiveWiener Filter,” University of Dayton, May 2014 (Electrical Engineering).

10. Iman Namroud, “An Analysis of Aliasing and Image Restoration Performance for Digital Imaging Systems”, University of Dayton, May 2013 (Electrical Engineering).

11.  Barath Narayanan Narayanan, “Multiframe Super Resolution with JPEG2000 Compressed Images”, University of Dayton, May 2013 (Electrical Engineering).

12.  Brandon Brys, “Bad PixelDetection and Replacement”, University of Dayton, December 2010 (Electrical Engineering).

13. Temessguen Messay, “A New Computationally Efficient CAD System for Pulmonary Nodule Detection in CT Imagery”, University of Dayton, December 2008 (Electrical Engineering).

14. Mark Burky, “Restoration of Imagery from Incoherently Illuminated Imaging Systems with Modeled Point Spread Functions and Wiener Filters”, University of Dayton, August 2008 (Electro-Optics).

15.   Bernard Abayowa, “A Comparative Study of Blob Detection Methods: Evaluation on Nodule Candidate Detection in Chest Radiographs,” University of Dayton, May 2008 (Electrical Engineering).

16. Patrick Hytla, “Anomaly Detection in Hyperspectral Imagery: A Comparison of Methods Using Seasonal Data,” University of Dayton, December 2007 (Electrical Engineering).

17. Ross Knappick, “Missile Threat Detection Using Correlated Two-Color Imaging Sensors,” University of Dayton, December 2007 (Electrical Engineering).

18. Joe Meola, “Hyperspectral Change detection,” University of Dayton, Aug. 2006 (Electrical Engineering).

19. Doug Droege, “Optimal Contrast Enhancement Algorithm Suitable for Real-Time Digital Hardware,” University of Dayton, May 2004 (Electrical Engineering).

20. Jeffrey Weinschenk, “Broadband Image Steering and Hyperspectral Image Reconstruction Using a Liquid Crystal Device,” University of Dayton, August, 2001 (Electrical Engineering).

21. Taufiq Widjanarko, “An Image Post-Processing Technique for Extending a Microscope’s Depth-of-Focus,” University of Dayton, December, 2000 (Electro-Optics).

22. James Suhr, “The Effects of Block Transform Image Compression on the Formation of Interferometric Synthetic Aperture Radar,” University of Dayton, December, 1999 (Electrical Engineering).

23. Karen Connair, “Optimal Estimation of Automobile Chassis Motion from Wheel Based Sensors Using Adaptive IIR filters,” University of Dayton, December 1998 (Electrical Engineering).

24. Richard Porter, “Enhancement of Radar Cross Sections Using Wavelet Techniques,” University of Dayton, December 1998 (Electrical Engineering).

25. Timothy Tuinstra, “Exploitation of Non-global Motion in FLIR Imagery for Resolution Enhancement,” University of Dayton, December 1998 (Electrical Engineering).

26. Md. Iqbal Younus,  “Analysis of Phase Stepped Interferometry and Novel Robust Phase Unwrapping,” University of Dayton, August 1998 (Electrical Engineering).

27. William Muller, “A Study of Digital Filter Design Implementation in an Infrared Seeker Tracking Simulation,” University of Dayton, May 1998 (Electrical Engineering).

28. Eric Kaltenbacher, “High Resolution Infrared Image Reconstruction,” University of Dayton, August 1996 (Electro-Optics).

29. Ajay Kanodia, “Band Selection and Performance Analysis for Multispectral Target Detectors Using Truthed Bomem Spectrometer Data,” University of Dayton, May 1996 (Electrical Engineering).

30. Thomas Stadtmiller, “Motion Estimation Based Microscanning for Aliasing Reduction in FLIR Imagery,” University of Dayton, May 1995 (Electro-Optics).

31. Joeseph Gillette, “Infrared Image Restoration and Enhancement,” University of Dayton, December 1994 (Electrical Engineering).