Graduate PhD Students

 

Shireen Elhabian is currently a PhD student with the ECE department. She received her BSc. and MSc. from Cairo University, Egypt, in 2002 and 2005, respectively. She was awarded the Best Teaching Assistant in Cairo University in 2005. She was awarded the Outstanding ECE Graduate Student Award at the University of Louisville in 2009. Her research domain is computer vision, image processing and machine learning. She is studying topological and photometric object representations for sparse object recognition. Her focus is to develop dynamic surface models and representations for general image formation scenarios. Her applications include facial information processing under variations of pose, illuminations, occlusion and expressions. Elhabian' s CV

 

Amal Farag received her BSc and MEng in Electrical and Computer Engineering from the University of Louisville      in 2008 and 2009, respectively. She joined the Computer Vision and Image Processing Laboratory (CVIP lab) in 2006 as an undergraduate research student, in which time her research domain focused on designing and developing a camera system for 360 viewing of the upper and lower jaw. She decided to pursue her Master of Engineering research with the laboratory in the area of biomedical image analysis, where she established a data-driven approach for lung nodule modeling and classification from chest CT. She completed her Masters degree in Spring 2009. In Summer of 2009, she was enrolled into the PhD program pursuing further research in the domain of geometric computer vision and biomedical image analysis. She is studying variational and statistical approaches for object modeling. Her applications include multimodality image analysis, texture models, and image-based biological tissue characterization.

Melih Aslan is PhD student and Research Assistant in ECE Department. He received the bachelor degree from Fatih University, Turkey in 2005 and the MS degree from University of South Alabama, USA in 2007. His area of expertise includes segmentation and registration methods based on the intensity, spatial interaction, and shape information. More specifically, his objective is to segment vertebral bodies of spine bones accurately to assist the bone mineral density measurements and fracture analysis. His focus is to develop a robust simultaneous segmentation and registration algorithms.  He has 11 IEEE conference papers and 1 book chapter.   Aslan' s CV

Travis Gault is a PhD student in the ECE department with a research domain that uses scale-space methods to with thermal imaging.  My current research focuses on using of thermal imaging to extract the location of blood vessels in the head and neck and determine a patient’s vital signs including heart rate, temperature, and breathing rate.   My primary goal is to recreate the arterial pulse waveforms from thermal video.  Applications for this research is to create a biometric smart-room sensor suite for use in hospitals and homes of both the elderly and non-communicative subjects to remotely monitor the patient using thermal and regular video, without direct contact from medical professionals. Gault' s CV

 

Mostafa Abdelrahman is a PhD student with the ECE department. His research domain is computer Vision, and machine learning. He is studying feature-based object modeling and recognition, and scale-space theory. His focus is to generate robust object representations that maintain characteristic features of the objects for modeling, registration and recognition. His applications include multichannel face detection, facial expression recognition and dynamic texture models.
Aly Abdelrahim is a PhD student with the ECE department. His research domain is computer vision. He is studying Surgical Simulation. His focus is to Medical robots and Real-time update of tool position and orientation in augmented reality environments. His applications include Image-to-patient registration using tracked imaging devices.
Eslam Mostafa is a PhD student with the ECE department. He received his BSc and MSc degrees from the Electrical Engineering department at Alexandria University, Egypt in 2006 and 2009 respectively. His research domain is vital signs, image processing, and biometrics. He is developing image modeling algorithm which is used in segmentation, denoising, and tracking. He is also developing algorithm in the field of vital signs, heart rate wave form, breathing rate, using infra- red camera.
Ali Mahmoud is a PhD student with the ECE department. He received his BSc and MSc degrees from the Electrical Engineering department at Alexandria University, Egypt in 2005 and 2009 respectively. His research domain is vision based mobile robot navigation. He is developing algorithms for aligning images and estimating motion in video sequences. Moreover, he is working in stereo correspondence algorithms to estimate a 3D model of a scene using binocular disparity of its 2D images.
Ahmed Shalaby is a PhD student with the ECE department, University of Louisville, USA. He received the bachelor degree from Alexandria University, Egypt, in 2003. His research domain is computer vision. Specifically, he is studying object detection, recognition and tracking. His focus is to simultaneously recognize and track single and multiple objects based on state space models for motion estimation. He utilizes Kalman, Particle and deformable object tracking approaches. His applications focus on tracking based on robotics, thermal image signatures for large distance recognition.
Ahmed EL Barkouky is a PhD student with the ECE department. He received his BSc degree from Electrical Engineering department at Ainshams University, Egypt in 2002 and MSc degree from Engineering Mathematics department at Ainshams University, Egypt in 2009. His research domain is computer vision and image processing. He is learning different algorithms for object tracking in videos and different algorithms for image fusion to combine information received from several sensors. He is involved in designing the guiding scheme in the navigation of autonomous ground vehicles for both indoor and outdoor. He is also involved in Biometric applications including Video Cocktail Party which is a frame work for Multichannel Facial Activity Modeling from Video.    
Marwa Ismail is a Ph.D. student with the ECE department. Her research interests include medical imaging. She is studying the variational methods for shape representation. Her focus is to study brain disorders like autism, and also studying the virtual colonoscopy approaches.
 

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