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Director

Prof. Ioannis A Kakadiaris
Hugh and Lillie Cranz Cullen Distinguished University Professor
Computer Science, ECE, Biomedical Engineering
219 PGH

Prof. Ioannis A. Kakadiaris is a Hugh and Lillie Cranz Cullen Distinguished University Professor of Computer Science, Electrical & Computer Engineering, and Biomedical Engineering at the University of Houston, Houston, TX, USA. He also holds an adjust position at the School of Health Information Sciences at the University of Texas, Health Sciences Center. He joined UH in August 1997 after a postdoctoral fellowship at the University of Pennsylvania.

Ioannis earned his B.Sc. in physics at the University of Athens in Greece, his M.Sc. in computer science from Northeastern University and his Ph. D. at the University of Pennsylvania. He is the founder and director of the Computational Biomedicine Lab. His research interests include cardiovascular informatics, biomedical image analysis, biometrics, computer vision, and pattern recognition.

Dr. Kakadiaris is the recipient of a number of awards, including the NSF Early Career Development Award, Schlumberger Technical Foundation Award, UH Computer Science Research Excellence Award, UH Enron Teaching Excellence Award, and the James Muller Vulnerable Plaque Young Investigator Price. His research has been featured on Discovery Channel, National Public Radio, KPRC NBC News, KTRH ABC News, and KHOU CBS News.

Faculty

Manos Papadakis
Associate Professor, UH Mathematics
681 PGH

Dr. Papadakis interests include Wavelet Analysis, Frame Theory, Biomedical Image Analysis (Atherosclerotic Plaque in Coronary and Carotid Arteries, Neurobiology), and Seismic Imaging. The primary focus of his research is to find ways to eliminate the errors in computer vision applications resulting from the directional preference of software due to the use of one-dimensional filter designs. Dr. Papadakis and his collaborators propose that the best antidote to this is the use of isotropic filtering methods, treating all directions equally and enabling the handling of multidimensional data sets in their original dimensionality. Moreover, coupling these new filtering techniques with state-of-the-art artificial intelligence methods seems to be promising for future breakthroughs in diagnostic medical imaging.

Michael E Mavroforakis
Research Assistant Professor, UH CS

Dr. Michael Mavroforakis earned his B.Sc. in Physics, his M.Sc. degree with honors and his Ph.D. with honors in Computer Science at the University of Athens in Greece. His research interests lie in the areas of machine learning (support vector machines, the application of convex analysis and optimization, game theory, fractal analysis and computational algebraic geometry to machine learning problems) and biomedical image analysis (image processing, computer aided detection and diagnosis). Dr. Mavroforakis is the recipient of several awards, including the 2008 IEEE Transactions on Neural Networks Outstanding Paper Award, the Best Student Paper award of EUSIPCO-2005, the award of the National Scholarship Foundation of Greece for the 1st place of the M.Sc. studies in the University of Athens.

Nikos Paragios
Professor, UH CS
Computational Biomedicine Lab, University of Houston

Nikos Paragios is professor at the Ecole Centrale de Paris - one of most exclusive engineering schools "Grande Ecoles" - leading the Medical Imaging and Computer Vision Group at the Applied Mathematics Department. He is also affiliated with INRIA Saclay Ile-de-France, the French Research Institute in Informatics and Control heading the GALEN group, a joint research team between ECP/INRIA. Prior to that he was professor/research scientist (2004-2005) at the Ecole Nationale de Ponts et Chaussees, affiliated with Siemens Corporate Research (Princeton, NJ, 1999-2004) as a project manager, senior research scientist and research scientist. In 2002 he was an adjunct professor at Rutgers University and in 2004 at New York University. Professor Paragios has co-edited four books, published more than hundred-fifty papers (DBLP server) in the most prestigious journals and conferences of medical imaging and computer vision, sixteen US issued patents and more than twenty pending. His work has approx 5,000 citations according to googlescholar and 2,500 according to scopus, and and his H-number according to scholar is 31 and 25 according to scopus. Professor Paragios is a Senior member of IEEE, associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), area editor for the Computer Vision and Image Understanding Journal (CVIU) and member of the Editorial Board of the International Journal of Computer Vision (IJCV), the Medical Image Analysis Journal (MedIA), the Journal of Mathematical Imaging and Vision (JMIV) and the Imaging and Vision Computing Journal (IVC). Professor Paragios is one of the program chairs of the 11th European Conference in Computer Vision (ECCV'10, Heraklion, Crete).

In 2008 N. Paragios was the laureate of one of Greece's highest honor for young academics and scientists of nationality or descent (world-wide), the Bodossaki Foundation Prize in the field of applied sciences. In 2006, he was named one of the top 35 innovators in science and technology under the age of 35 from the MIT's Technology Review magazine (article). His research interests include image processing, computer vision, medical image analysis and human computer interaction.

Shishir Shah
Associate Professor, UH CS
564 PGH

Shishir Shah is an Associate Professor in the Department of Computer Science at the University of Houston. He joined the department in 2005 and founded the Quantitative Imaging Laboratory. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from The University of Texas at Austin. He received his B.S. degree in Mechanical Engineering from The University of Texas at Austin. Dr. Shah's research interests are in the fields of computer vision, video analytics, biomedical image analysis, and pattern recognition. His research has a broad and diverse application base, but the areas are inter-related and complement each other from the perspective of basic vision sciences and practical applications. His goal is to further research and development in the areas of statistical learning, modeling, and decision support, video processing and surveillance, and pattern analysis. Dr. Shah has co-edited one book, and authored several book chapters and papers on object recognition, sensor fusion, statistical pattern analysis, and biomedical image computing.

Theoharis Theoharis
Adjunct Associate Professor, UH CS
Associate Professor, Department of Informatics, University of Athens

Theoharis received a B.Sc. degree in Computer Science from the University of London in 1984, M.Sc. degree in Computation from the University of Oxford in 1985 and Ph.D. in Computer Graphics and Parallel processing from the University of Oxford in 1988. He served as a Research Fellow at the University of Cambridge between 1987 and 1990 and as a Consultant with Andersen Consulting between 1992 and 1993. His main research interests lie in Biometrics and 3D Object Retrieval and Archaeological Reconstruction. He has co-authored a textbook titled: 'Graphics & Visualization: Principles & Algorithms', A.K. Peters, 2008.

Uday Kurkure
Research Assistant Professor, UH CS
231 PGH

Dr. Uday Kurkure received his B.E. in Electronics and Telecommunication Engineering from Govt. Engineering College at Jabalpur, India and his Ph.D. in Computer Science from the University of Houston, Houston, TX. He joined CBL as Postdoctoral Fellow and now he is Research Assistant Professor at the Department of Computer Science, University of Houston. His research interests lie in the areas of biomedical image analysis and pattern recognition.

Postdoctoral Fellows

David Jimenez
Postdoctoral Fellow
227 PGH

Dr. David Jimenez received his B.Sc. degree from the Department of Mathematics of the University of Costa Rica in 2001, and his Ph.D. in Mathematics from the Georgia Institute of Technology in 2008. His research interests lie in the areas of Computational Harmonic Analysis and Image and Signal Processing.

Eleni Zacharia
Postdoctoral Fellow
231 PGH

Dr. Eleni Zacharia received the B.Sc. degree in Informatics and Telecommunications, the M.Sc. in Signal Processing and Multimedia with honors, and the Ph.D. degree in Computer Science from the Department of Informatics and Telecommunications, University of Athens, Greece, in 2004, 2006, and 2009, respectively. Her research interests lie in the areas of biomedical image analysis and pattern recognition.

Georgios Evangelopoulos
Postdoctoral Fellow
235 PGH

Dr. Georgios Evangelopoulos holds the Diploma and M. Eng. (2001) degrees in Electrical and Computer Engineering from National Technical University of Athens (NTUA), Greece and the Ph.D. degree (2007), working with the Computer Vision, Speech Communication & Signal Processing Group, NTUA. His thesis, in the areas of image analysis and computer vision, involved developing texture models for image decomposition, feature extraction and low-level vision. As a graduate research assistant, he participated in diverse research projects involving biomedical, audio, visual and multimodal information processing. Holding a Post-Doc research associate position at NTUA, he worked primarily on audiovisual saliency and computational attention models for video summarization. His research interests lie in the areas of nonlinear signal and audio processing, visual texture analysis, saliency/abstraction/selection of multimodal sensory information and generalized event detection in audiovisual streams with applications related to image analysis, computer vision, multimedia processing and computer graphics.




Xi Zhao
Postdoctoral Fellow
235 PGH

Dr.Xi Zhao earned his B.Sc. and M.Sc. degree with honors from the School of Electronic & Information Engineering, Xi’an Jiaotong University in China, and his Ph.D. in Computer Science at the Ecole Centrale de Lyon in France. His research interests lie in 3D face analysis and statistical pattern analysis.



Yifeng Jiang
Postdoctoral Fellow
235 PGH
Yifeng Jiang received the B.Sc. and M.Sc. degrees from Xi’an Jiaotong University, China, and Ph.D. from The Chinese University of Hong Kong, all in electronic engineering. From 2007 to 2011, he was a Postdoctoral Associate in the Image Processing and Analysis Group, Dept of Diagnostic Radiology, at Yale University. He is awarded a NLM postdoc fellowship in 2012. His research interests lies in shape analysis (registration, modeling, and comparison) and vascular image processing. He also has some R&D experience on a few medical imaging systems, including DSA and 3D Ultrasound.

Ph.D. Students

Ph.D. Student
235 PGH

Bassam's research interests are in areas such as AI (neural network, fuzzy logic, and machine learning ), data processing and retrieval, as well as parallel computing.

Ph.D. Student
235 PGH

Gerardo's research interests include medical image analysis, numerical methods, pattern recognition and genetic algorithms. He is currently working in the UIVUS project which involves the analysis of intravascular ultrasound data for the development of methods and computational tools that will help physicians better characterize the instability and vulnerability of plaque in coronary arteries.

Ph.D. Student
235
Ph.D. Student
235 PGH
Panagiotis' research interests include Data Mining, Speech Recognition, Tracking-Match Moving, Image Processing, Machine Learning, Pattern Recognition, Probability, Decision Theory, Simulation Methods, Multivariate Statistics, Bayesian Theory, Stochastic Processes, and Computational Statistics.
Ph.D. Student
227 PGH

Paul obtained a BSc. in Mathematics at the UV in Mexico in 2008. His research interests include probability, biomedical image analysis, and segmentation.

Ph.D. Student
235 PGH
Pengfei's research interest includes computer vision, data mining, and pattern recognition.
Ph.D. Student
235 PGH
Sanat Upadhyay received his B.Sc. degree in Applied physical Sciences from St Stephen’s College, University of Delhi, in New Delhi, India and M.S. degree in Applied Mathematics from University of Houston, USA. He is currently a PhD–student in the Department of Mathematics at University of Houston. His area of research includes 3D-Texture classification, multivariable sparse representations with applications to face recognition and Medical Imaging.
Ph.D. Student
235 PGH
Ph.D. Student
235 PGH

Yen's research interests include machine learning, image processing and bioinformatics.

M.Sc. Student

M.Sc. Student
212 PGH

Dat Chu is a lively individual who loves to write web applications that improve the workflow of CBL. He received a perfect GPA while pursuing a B.S. degree at University of Houston. His interests are in biometrics, web application development, GPGPU and open source development.

Undergraduate Students

Undergraduate Student
231 PGH
Noah Kessler is a Biochemistry and Computer Science undergraduate at UH. He is working with Dr. Zacharia on zebrafish image analytics.
Undergraduate Student
227 PGH

Zakariyya Mughal is an undergraduate student at UH studying biomedical engineering (Neural Engineering Option).