Director

Professor
Computer Science, ECE, Biomedical Engineering
219 PGH
Prof. Ioannis A. Kakadiaris is an Eckhard Pfeiffer 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
231 PGH
Research Assistant Professor
Uday is pursuing research in Cardiovascular Informatics (CARDIA).
Computational Biomedicine Lab, University of Houston
Research Assistant Professor
Dr. Michael Mavroforakis is a Research Assistant Professor at the Computational Biomedicine Lab, University of Houston. He 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.
681 PGH
Associate Professor
Dr. Papadakis is an associate professor at the University of Houston Department of Mathematics. His interest includes 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.
564 PGH
Assistant Professor
Shishir Shah is an Assistant 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.
Department of Informatics, University of Athens
Associate Professor
Theoharis is an Associate Professor at the Department of Informatics, University of Athens and an Adjunct Associate Professor at UH. 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 the recent textbook: 'Graphics & Visualization: Principles & Algorithms', A.K. Peters, 2008.
227 PGH
Research Assistant Professor
Zhihong Zeng earned his Ph.D. from the Institute of Automation, Chinese Academy of Sciences in 2002. He was a Beckman PostDoc Fellow at University of Illinois at Urbana-Champaign before he joined CBL. Zhihong's research interests are in computer vision, biometrics, machine learning, multimedia processing, human computer interaction, and affective computing.
Visiting Scholars
Department of Electrical and Electronic Engineering, Imperial College London
Visiting Scholar
Research Scientists
212 PGH
Research Scientist
Boris is pursuing research in biometrics.
231 PGH
Research Scientist
Shan received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Intelligent Information Processing, Xidian University, Xi’an, China, in 2007. His research interests include biomedical image analysis, computer vision, sparse representations, and statistical analysis of natural images.
Ph.D. Students
235 PGH
Ph.D. Student
Deepak is a Ph.D. student in the Department of Computer Science at University of Houston. His research interests broadly encompass the areas of Computer Vision, Computer Graphics, and Artificial Intelligence. He is currently working in the area of Cardivascular Informatics.
4012 SERC
Ph.D. Student
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 interest are in biometrics, web application development, GPGPU and open source development.
4012 SERC
Ph.D. Student
Michael is an enthusiastic programmer who loves to put things to implementation. His main focus is computer vision and computer graphics. He is especially interested in high performance graphics rendering and GPU computing.
235 PGH
Ph.D. Student
Yen joined the Computational Biomedicine Lab in Fall 2008 as a new Ph.D. student. Her research interests include machine learning, image processing and bioinformatics.
231 PGH
Ph.D. Student
Paul obtained a BSc. in Mathematics at the UV in Mexico in 2008. He joined the Computational Biomedicine Lab in the fall of 2008 as an intern and he became a Ph.D. Student at the University of Houston in the fall of 2009. His research interests include probability, biomedical image analysis, and segmentation. He is currently working on the ORION project which focuses on 3D morphological reconstruction of dendrites.
212 PGH
Ph.D. Student
Emil Ismailov received a B.S. degree in Computer Engineering in 2005 from KTU "Manas", MEE from University of Houston in 2008. Currently, he is working towards a Ph.D. in Computer Science. His current research is in profile based face recognition.
235 PGH
Ph.D. Student
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.
235 PGH
Ph.D. Student
Danil grew up in Russia, moved to Houston with his family in 2002. He is interested in math and numerical computing. At UH Downtown, his previous projects dealt with computer clusters, traffic simulation and text mining. He spends his free time playing soccer, guitar and chess.
235 PGH
Ph.D. Student
Eleni joined the Computational Biomedicine Lab in the Spring of 2008 as a new Ph.D. student. Her research interests include image processing, image analysis, and segmentation.
235 PGH
Ph.D. Student
Raja is an M.Sc. student in the Computer Science department. His interests are biomedical image analysis, pattern recognition, and machine learning. He is currently working on pericardial fat computation.
M.Sc. Students
235 PGH
M.Sc. Student
Olga is a Biomedical Engineering student from the Antioquia School of Engineering and CES University in Colombia. Her primary research interest is in the area of biomedical image analysis. She is working in Cardiovascular Informatics (CARDIA project) and currently she is involved in developing methods for automated segmentation of the ascending and descending aorta from cardiac CT scans.
235 PGH
M.Sc. Student
Application Developer
Uttam is an M.Sc. student in the Computer Science Department, and joined CBL in Fall 2008.
Undergraduate Students
212 PGH
Undergraduate Student
Fahd is an Undergraduate student of UH-central majoring in pre-med biology. He joined CBL in Fall 2009 to learn and gain experience in the field of biomedical research.