Arpad Kelemen, PhD
Associate Professor, OSAH
Address:
455B
Phone Number:
410-706-1417
Fax Number:
410-706-3289
Education:
- PhD, Computer Science, University of Memphis, 2002
- MS, Computer Science, University of Szeged, Hungary, 1995
- BS, Computer Science, University of Szeged, Hungary, 1993
Research:
- Robert Wood Johnson Foundation. "Advancing the Role of Nurses as Anticoagulation Educators through Innovative Technologies" call for "The Future of Nursing: Campaign for Action". Pending. Role: Principal Investigator
- University of Maryland, School of Nursing DRIF Fund. "Improving Patient Outcomes in Low Health Literacy Populations with Mobile Games" 5/2012-Present. Funded for $10,000.
- Health Resources and Services Administration (HRSA) “Nursing Informatics Program Focused on Diversity and the Underserved”, Advanced Education Nursing Grants, Role: Principal Investigator 1/1/2010-6/30/2011. Funded for $467,741.00. Award Number: 6 D09HP08061-03-02.
- National Science Foundation (NSF) DMS Statistics Program “Advanced Bayesian Approaches for Heterogeneous Temporal Genomic Data” Role: Co-Principal Investigator. 6/1/2006-5/31/2009. Funded for $144,999.
- National Science Foundation "CISE Computing Research Infrastructure (CRI)" as part of a consortium of WNY universities and research institutions. Role: Co-Investigator. 2005 – 2008. $800,000
- Buffalo Center for Biomedical Computing grant from National Institute of General Medical Sciences (NIH) grant. Title: "Bayesian Meta-Analysis of Heterogeneous Genomic Data through Hybrid Systems", Role: Co-PI. 2004-2005. $30,000.
- Niagara University's Research Grant, titled "Pattern Differentiations and Formulations for Heterogeneous Genomic Data through Hybrid Approaches", Role: PI. 2006. Funded for $9,720.
- Niagara University’s Mini Grant (2006), Role: Principal Investigator. Funded for $1720.
- Niagara University’s Research Support Grant (2006), Role: Principal Investigator. Funded for $2800.
- NYSTAR faculty development grant, Role: PI (subcontract). 2003-2004, $37,750
- University of Mississippi's Research Grant, titled: "Bioinformatics Research with Intelligent Techniques", Role: PI. 2002. $30,000.
Recent Publications:
- Faddoul, B., Kelemen, A., Hoffman, J., Connerney I. (2012) “The Development and Use of a Web-Based Game as a Teaching Tool for Adult Patients on Warfarin Therapy” Games For Health Journal. (in review)
- Faddoul, B., Kelemen, A, Connerney, I., Grover, B., Hoffman, J. (2012). Patients’ Perceptions of a Game about Vitamin K and Warfarin: A Pilot Study. Games for Health Journal: Research, Development, and Clinical Applications. Volume 1, Number 5, 2012 DOI: 10.1089/g4h.2012.0013.
- Kelemen, A., Liang, Y. (2012). Multi-Center Correction Functions for Magnetization Transfer Ratios of MRI Scans. Journal of Health & Medical Informatics. S3. doi:10.4172/2157-7420.S3-002
- Liang, Y., Kelemen, A. (2011). “Sequential support vector regression with embedded entropy for SNP selection and disease classification”, Journal of Statistical Analysis and Data Mining, DOI: 10.1002/sam.10110.
- Kelemen, A., Vasilakos, A., Liang, Y. (2009). "Computational Intelligence for Genetic Association Study in Complex Diseases: Review of Theory and Applications", International Journal of Computational Intelligence in Bioinformatics and Systems Biology, 1(1):15-31.
- Liang, Y., Kelemen, A., (2009) "Bayesian Finite Markov Mixture Model for Temporal Multi-Tissue Polygenic Patterns" Biometrical Journal51(1):56-69.
- Liang, Y., Kelemen, A., (2009). "Time Lagged Recurrent Neural Network for Temporal Gene Expression Classification",International Journal of Computational Intelligence in Bioinformatics and Systems Biology 1(1):86-99.
- Tayo, B., Liang, Y., Kelemen, A., Miller, A., Trevisan, M., Cooper,R., (2009). “Use of supplementary phenotype to identify additional rheumatoid arthritis loci in a linkage analysis of 342 UK affected sibling pair families”, BMC Medical Genetics 10(1):142. doi:10.1186/1471-2350-10-142
- Dalaker, T. O., Larsen, J. P, Bergsland, N., Beyer, M., Alves, G., Dwyer, M.G., Tysnes, O. B., Benedict, R. H. B., Kelemen, A., Zivadinov, R. (2009) “Brain atrophy and white matter hyperintensities in early Parkinson’s Disease”, Movement Disorders, DOI 10.1002/mds.22754.
- Kelemen, A., Abraham, A., Chen, Y. (2008) "Computational Intelligence in Bioinformatics" in the Series in Studies in Computational Intelligence, Springer-Verlag, Germany, Vol. 94, ISBN: 978-3-540-76802-9.
- Kelemen, A., Abraham, A., Liang, Y. (2008) "Computational Intelligence in Medical Informatics" in the Series in Studies in Computational Intelligence, Springer-Verlag, Germany, Vol. 85, ISBN: 978-3-540-75766-5.
- Liang, Y., Kelemen, A., (2008) "Bayesian Models and Meta Analysis for Multiple Tissue Gene Expression Data Following Corticosteroid Administration" BMC Bioinformatics, 9:354.
- Liang, Y., Kelemen, A., (2008) "Statistical Advances and Challenges for Analyzing Correlated High Dimensional SNP Data in Genomic Study for Complex Diseases", Statistics Surveys Vol. 2, 43-60.
- Liang, Y., Kelemen, A., (2007) “Bayesian State Space Models for Inferring and Predicting Temporal Gene Expression Profiles”. Biometrical Journal 49(6) 801-814.
- Liang, Y., Kelemen, A., Tayo, B. O., (2007) “Model Based or Algorithms Based? Gene Expression Based Statistical Methods to Find Evidence of Diabetes”. Journal of Statistical Methods in Medical Research, 16(2): 139-153.
- Liang, Y., Kelemen, A., (2006) “Associating phenotypes with molecular events: a review of statistical advances and challenges underpinning microarray analyses”. Journal of Functional and Integrative Genomics, Vol. 6, pp. 1-13.
- Kelemen, A., Franklin, S., Liang, Y., (2005) “Constraint Satisfaction in Conscious Software Agents - A Practical Application”, Journal of Applied Artificial Intelligence. 19:491-514.
- Kelemen, A., Liang, Y., Franklin, S. (2005) “Learning High Quality Decisions with Neural Networks in “Conscious” Software Agents”, Journal of World Scientific and Engineering Academy and Society, 9(4), pp.1482-1492.
- Liang, Y., Tayo, B., Cai, X., Kelemen, A., (2005) “Differential and Trajectory Methods for Time Course Gene Expression Data”. Bioinformatics, 20(13): 3009-3016.
- Liang, Y., Kelemen, A., (2005) “Temporal Gene Expression Classification with Regularised Neural Network”. International Journal of Bioinformatics Research and Applications, 1(4), 399-413.
- Liang, Y., Kelemen, A., (2004) “Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns”, Journal of Statistical Applications in Genetics and Molecular Biology: Vol. 3: No. 1, Article 20. http://www.bepress.com/sagmb/vol3/iss1/art20
Primary Teaching Areas:
- NURS 405: An Introduction to Informatics in Nursing and Health Care
- NRSG 720: The Changing World of Informatics in Health Care
- NURS 770: Human Factors and Human-Computer Interaction
- NURS 785: Health Care Database Systems
- NURS 786: Systems Analysis and Design
- NDNP 807: Information Systems and Technology for the Improvement and Transformation of Health Care
Academic & Professional Activities:
- Editor:
International Journal of Computational Intelligence Research (IJCIR); International Journal of Hybrid Intelligent Systems (IJHIS); International Journal of Computational Intelligence in Bioinformatics and Systems Biology (IJCIBSB) - Scientific Review Committee:
Emerging Technologies and Training in Neurosciences, National Institutes of Health (09) Review Panel; NIH Challenge Grant (09) Recview Panel; NSF's Intelligent Information Systems 07-577(08) Review Panel; Science Center programs of the U.S. Department of State: (06) Review Panel - Conference Organizer:
World Congress on Information and Communicaion Technologies; 7th International Conference on Intelligent Systems Design and Applications; 7th Atlantic Symposium on Computational Biology & Genome Information - Professional Memberships:
American Medical Informatics Association; Hungarian Academy of Sciences; Phi Kappa Phi Academic Honor Society; Upsilon Pi Epsilon Academic Honor Society for Computing Sciences; Institute of Electrical and Electronics Engineers; American Mathematical Society; Hungarian Operations Research Society; Bolyai Janos Mathematical Society; International Mensa - Reviewer:
International Journal of Hybrid Intelligent Systems; International Journal of Computational Intelligence Research; Journal of Bioinformatics; Journal of IEEE Transactions on Systems, Man and Cybernetics; Journal of IEEE Transactions on Neural Networks; Journal of Neural Comp. and Applications; Journal of Fuzzy Sets and Systems; Journal of Expert Systems; Journal of BMC Bioinformatics; International Journal of Bioinformatics Research and Applications; Journal of Statistical Application in Genetics and Computational Biology; Journal of Neurocomputing; Journal of Hybrid Evolutionary Systems
