Department of Health Informatics
Faculty
Chair
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Syed Haque is Professor and Chair of the Department of Health Informatics at UMDNJ. His interest areas include health care outcomes measurement and research and health care data mining. He has published extensively in journals and in several conferences, and has also served as Chair in several international conferences. He has been Recognized/Certified as Internationally Registered Technology Specialist (IR7), by the Secretariat to the IRTS Council, International Technology Institute, San Diego, CA. He is also on the Editorial Board of The Journal on Information Technology in Healthcare.
Phone: 973 972 6871
Email: haque@umdnj.edu
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Faculty
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Dinesh Mital is currently a Professor
in the Department of Health Informatics.
His areas of research include
biomedical signal and image processing,
decision support systems, neural
and fuzzy logic based applications,
and artificial intelligence. He
has published over 200 technical
papers in various international
conferences and journals.
Phone: 973 972 5241
Email: mitaldp@umdnj.edu
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Helen Gu is currently an Associate
Professor in the Department of
Health Informatics. Her research
interests include controlled medical
terminologies, conceptual and
object-oriented data modeling,
databases, ontologies, semantic
network, and vocabulary and schema
partitioning. She has published
papers in various international
journals and conference proceedings.
Phone: 973 972 0995
Email: guhy@umdnj.edu
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Masayuki Shibata is currently
an Associate Professor in the
Department of Health Informatics.
His areas of research include
drug discovery and molecular modeling.
He has published in various international
conference proceedings and journals.
Phone: 973 972 0996
Email: shibatma@umdnj.edu
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Alexander Kister is currently
an Assistant Professor in the
Department of Health Informatics.
His main area of research is on
structural proteomics specifically
(in recent years) on the investigation
of the relation between sequences
and 3D structures of the beta
proteins. Some of his recent publications
are listed here.
Phone: 973 972 8596
Email: kisterae@umdnj.edu
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Shankar Srinivasan is currently
an Associate Professor in the
Department of Health Informatics.
He has taught in universities
in Singapore and Australia. His
research interests are mainly
in the areas of health care data
management and eHealth Care Systems
and Services. He has published
in various international conference
proceedings and journals.
Phone: 973 972 4279
Email: srinivsh@umdnj.edu
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FACULTY AREAS OF EXPERTISE:
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BioMedical Knowledge representation, data modeling, and algorithm design. Application of computer programming techniques and database design for BioMedical and health care environments.
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Research Methods in Biomedical Sciences, Biostatistics and Clinical Trials, Health Care Outcomes Measurement and Research, Health Services Research, and Advanced Research Methods in Biomedical Informatics.
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Molecular Modeling and Drug Design: Molecular Dynamics Simulations of Biological Systems, Docking, Structure-Function Relationships Analysis of Biomacromolecules, Three Dimensional Quantitative Structure Activity Relationships Analysis, Protein Structure Predictions and Modeling.
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Bioinformatics: Sequence Analysis, Comparative Genomics, Microarray Analysis, Gene Expression Profiling, Signal Transduction Networks Modeling.
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Biomedical imaging and image analysis, Imaging technologies and medical diagnosis, medical imaging and networking, medical image processing and visualization, and advanced techniques for functional MRI applications.
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Internet-based Health Systems, Telemedicine, and Design of Webbased (multimedia) Health care transaction systems.
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Biomedical modeling & decision-making systems, and Biomedical instrumentation.
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Health Information Systems Integration, hospital/health care management systems, Clinical information systems design, health care database management systems.
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Public Health Informatics, and Geographical Information Systems.
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Clinical problem solving & decision-making, Applications of AI and expert systems, Health care decision support systems, clinical decision analysis
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