Meet the Team
The CDDA is staffed by world-class researchers and is backed by one of the largest universities in the United States. Under the leadership of Dr. Dimitris Metaxas (Director), the CDDA brings together a multitude of talent for a common purpose.
Dimitris Metaxas is a Professor II (Distinguished) in the Division of Computer and Information Sciences at Rutgers University since July 2007. From September 2001 to June 2007 he was a Professor in the same department. He is currently directing the Center for Computational Biomedicine, Imaging and Modeling (CBIM). From January 1998 to September 2001 he was a tenured Associate Professor in the Computer and Information Science ... Read more.
As Managing Director, James Mielke administers CDDA operations and outreach. If you are interested in learning more about the Center, James is a great first point of contact. Prior to joining Rutgers in 2011, James spent 13 years in the IT industry working largely in the Finance and Bio-pharmaceutical space. James holds an MBA from Penn State University.
Prof. Pavlovic is the director of SEQAM Lab. He earned the Ph.D. in electrical engineering at the University of Illinois at Urbana-Chapaign in 1999. He was a research scientist at Compaq’s Cambridge Research Lab in Cambridge, MA from 1999 until 2001. In 2001 he joined Boston University as a research faculty in the Bioinformatics Program. In 2002 he joined Rutgers as an Assistant Professor in the Department of Computer Science, where he is now an Associate Professor. Prof. Pavlovic’s research interests include statistical learning, dynamic system modeling and computer vision... Read more.
Mubbasir Kapadia is an Assistant Professor in the Computer Science Department at Rutgers University. Previously, he was an Associate Research Scientist at Disney Research Zurich. He was the Assistant Director at the Center for Human Modeling and Simulation at University of Pennsylvania, under the directorship of Prof. Norman I. Badler. He was the project lead on the United States Army Research Laboratory (ARL) funded project Robotics Collaborative Technology Alliance (RCTA). He received his PhD in Computer Science at University of California, Los Angeles.
Kapadia's research aims to develop integrated solutions for full-body character animation, planning based control, behavior authoring, and statistical analysis of autonomous virtual human simulations. The far-reaching goal is to provide functional, purposeful embodied virtual humans, that act and interact in meaningful ways to simulate complex, dynamic, narrative-driven, interactive virtual worlds.
My research interests lie at the intersection of Big Data, Social Computing, and Multimodal Information Systems. Feel free to check out my Google Scholar profile.
Michael N. Katehakis is a Professor and the Chair of the Department of Management Science and Information Systems at Rutgers Business School. He is noted for his work in Markov decision process, Gittins index, the multi-armed bandit, Markov chains and other related fields. He received his BS degree from the School of Physics and Mathematics of the University of Athens – Greece, an M.A. degree in Statistics from the University of South Florida, an M.S.. degree in Mathematical methods in Engineering and Operations Research and a Ph.D. degree in Operations Research from Columbia University... Read more.
Chirag Shah is an assistant professor of Information Science and an affiliate member of Computer Science at Rutgers University. His research interests include studies of interactive information retrieval/seeking, especially those involving social and collaborative aspects. He studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. He teaches and applies techniques from Data Science, Machine Learning and Data Analytics/Mining... Read more.
Ahmed Elgammal is an Associate Professor in the Department of Computer Science, Rutgers University. Research Focus: Computer Vision, Visual Learning, Human motion analysis, Activity Recognition, Tracking. Wider interest: Multimedia Computing, Image and Video Processing, Image and Video Databases, Machine Learning, Neural Modeling and AI... Read more.
Dr. Konstantinos Michmizos 's goal is to develop neuro-inspired and neuro-driven computational methods that integrate with the brain function and dysfunction, from the micro (neural) to the macro (behavioral) scale. Dr. Michmizos is an Assistant Professor in Computer Science at Rutgers University and affiliated with the Center for Computational Biomedicine Imaging and Modeling. Since 2013, he has been a Research Affiliate at the McGovern Institute for Brain Research, MIT.
Dr. Ilker Hacihaliloglu is an Assistant Professor in the Department of Biomedical Engineering at Rutgers School of Engineering. He completed his Ph.D. degree in Electrical and Computer Engineering from the University of British Columbia (Vancouver, Canada) in 2010. For the past decade, Dr. Hacihaliloglu has focused on integrating 3D ultrasound imaging modality in various orthopaedic surgery applications by providing computational medical image analysis methods. His broad research interests are medial image analysis, computer vision, image-guided therapy and surgery, and multi-modality and multi-parametric imaging with an emphasis on ultrasound. He is especially interested in the integration of all these research fields into workable clinical systems and translating these systems to clinical use. Dr. Hacihaliloglu is the recipient of various awards including the prestigious Canada’s premiere Network of Centres of Excellence in the mathematical sciences post-doctoral fellowship award for his work on non-iterative multimodal image registration in orthopaedic surgery. Read more.
Jaideep Vaidya is an Associate Professor in the Department of Management Science and Information Systems at Rutgers Business School. He has a Ph.D. and Masters degree in Computer Science from Purdue University, and a Bachelor's degree in Computer Engineering from the University of Mumbai. Dr. Vaidya's work is at the confluence of privacy, security, data mining, and data management. He is particularly interested in Security and Privacy issues raised by data mining -- the area of Privacy preserving data mining; Data Mining techniques applied to... Read more.
Kostas Bekris received his BS degree (2001) in Computer Science at the University of Crete, Greece and completed his MS (2004) and PhD degrees (2008) in Computer Science at Rice University, Houston, TX, under the supervision of Prof. Lydia Kavraki. He was an Assistant Professor and co-director of the Robotics Lab at the University of Nevada, Reno between 2008 and 2012. On July 2012, he joined the Computer Science department of Rutgers University and the Computational Biomedicine, Imaging and Modeling (CBIM) center... Read more.
Spiros Papadimitriou is an Assistant Professor in the Department of Management Science and Information Systems at Rutgers Business School. Spiros' main interests are mobile applications, data mining for graphs and streaming data, clustering, time series and systems for large-scale data processing. He has published more than thirty papers on these topics in refereed conferences and journals. He has three invited journal publications, several book chapters and he has filed multiple patents. He was a Siebel scholarship recipient in 2005 and received the best paper award in SDM 2008... Read more.
Kenny Nguyen was a National Institutes of Heath (NIH) Institutional Research and Academic Career Development Award (IRACDA) and IRACDA New Jersey/New York for Science Partnerships in Research and Education (INSPIRE) Fellow at Rutgers University-Robert Wood Johnson Medical School (Rutgers-RWJ). He is now part of the Center for Applied Genomics (CAG) at The Children's Hospital of Philadelphia (CHOP) in the area of Computational Sciences and High Performance Computing (HPC). Kenny uses molecular modeling and simulation to elucidate the structure, dynamics, energetics, and function of complex biological systems responsible for common, rare, and orphan diseases - as part of the precision, translational, network, and systems medicine pipeline at CAG.