Asil Oztekin

Asil Oztekin, Ph.D.

Professor

College
Manning School of Business
Department
Operations and Information Systems
Phone
(978) 934-2714
Office
Pulichino Tong Business Center - 442
Email
Asil_Oztekin@uml.edu
Profile Links

Research Interests

business analytics, data science, data mining, decision support systems, big data, medical informatics, healthcare systems engineering, healthcare analytics

Education

  • Ph D: Industrial Engineering and Management, (2010), Oklahoma State University - Stillwater, OK

Biography

Dr. Asil Oztekin is a Full Professor of Analytics and the Founding Coordinator of the Ph.D. Concentration in Decision Sciences at the Manning School of Business. He is also serving as an affiliated faculty member for the UMASS system-wide inter-campus Biomedical Engineering & Biotechnology (BMEBT) graduate program including UMass Boston, UMass Dartmouth, UMass Lowell, and UMass Medical School-Worcester. Additionally, Dr. Oztekin is a member of UMASS inter-campus, interdisciplinary initiative, the Center of Biomedical and Health Research in Data Sciences (CHORDS) and represents the Manning School of Business in this capacity as well as at the UML's Center for Population Health, and a Member (Adjunct Fellow) of the Baystate Health, Institute for Healthcare Delivery & Population Science and conducts research with interdisciplinary teams in all those capacities and mentors graduate students.

He has served as the Vice Chair (Chair-Elect) of the INFORMS Data Mining Society for the 2016-2017 academic year and as its Chair within 2017-2018, which is the world's largest data mining community within the business schools. Then he served as the INFORMS Subdivisions Council member to represent the 20+ INFORMS sections and now is serving as the INFORMS Data Mining Society representative in the same council between 2023 thru 2025. Dr. Oztekin is a member of the Decision Sciences Institute (DSI) Executive Board (AY 2023-2025) as the Vice President for Publications and a member on its Professional Development Committee. In 2024, he founded the DAta Science, MAchine Learning & AI (DASMALAI) Specific Interest Group within the Decision Sciences Institute and is now serving as its Inaugural/Founding Chair. He is also currently serving as a Tenure-Track Faculty At-Large Representative of entire UML faculty within the Board of Massachusetts Society of Professors (MSP).

Oztekin is certified by SAS® as a Predictive Modeling & Data Mining expert and as a Causal Analytics expert by Neusrel®. He is a member of INFORMS, Decision Sciences Institute, and The OR Society (Honorary Membership). His work has been published in high-impact journals such as Journal of Management Information Systems, European Journal of Operational Research, Decision Sciences, Decision Support Systems, International Journal of Production Research, Journal of Business Research, Journal of the American Medical Informatics Association, International Journal of Medical Informatics, Information Systems Frontiers, Annals of Operations Research, IEEE Transactions among others. One of his publications entitled "An RFID Network Design Methodology for Asset Tracking in Healthcare" was listed amongst the Most Cited journal articles at the Decision Support Systems journal in 2014. Similarly, another scholarly article of him entitled "Deep learning in business analytics and operations research: Models, applications and managerial implications" has been listed amongst the Most Cited journal articles at the European Journal of Operational Research (EJOR) in 2022. The same work was selected by the EJOR Co-Editors-in-Chief among the top two papers "which are best representative of EJOR and raised high interest" to be presented at the 32nd EURO Conference in Espoo-Finland, 2022.

Dr. Oztekin is serving as the Editor-in-Chief Elect (Co-EiC) of the Applied Operations & Analytics journal published by the Taylor & Francis on behalf of The Operational Research Society (UK’s largest in the field). He has also edited four special issues as a guest co-editor: "Data Mining & Decision Analytics" at the Decision Sciences journal, "Business Analytics: Defining the field and identifying a research agenda" at the European Journal of Operational Research, "Data Mining & Analytics" at the Annals of Operations Research journal, and "Intelligent Computational Techniques in Science, Engineering, and Business" at the Expert Systems with Applications journal. Asil Oztekin has first served as an Associate Editor (2016-2020) and then as a Senior Editor of the Decision Support Systems journal (2020-2022). He was also an Associate Editor of OMEGA: the International Journal of Management Science (Data-driven Decision Making & Analytics section) from 2020 to 2024 and an AE for the Journal of the Operational Research Society from 2021 to 2024. Currently, he is the Senior Editor of the Industrial Management & Data Systems journal (Data Science & Analytics section) and the Area Editor of the Health Systems journal for the Health Informatics section. He is the Founding & the Lead Editor of the "Special Section on Data Science" within the Annals of Operations Research journal, also an Associate Editor of the Journal of the Association for Information Systems, Decision Sciences journal (Business Analytics section), Communications of the Association for Information Systems, Journal of Computer Information Systems, Journal of Decision Systems, Journal of Business Analytics, as well as the Coordinating Editor of the Information Systems Frontiers journal within its Executive Group, and the Area Editor of Business Analytics & Big Data section for the Journal of Modelling in Management. He is listed as an official Editorial Review Board-ERB member for the European Journal of Operational Research, Journal of Business Research (Big Data & Business Analytics section) among others. He serves as an ad-hoc reviewer for Management Science, Journal of Management Information Systems, Production & Operations Management journal, International Journal of Forecasting, International Journal of Production Research, International Journal of Production Economics, Computers & Industrial Engineering, Information Technology & Management, Applied Mathematical Modelling, Computer Methods & Programs in Biomedicine, and Computers in Biology & Medicine journals among others. Dr. Oztekin often leads mini-tracks and sessions at INFORMS and HICSS conferences such as Data, Text, & Web Mining for Business Analytics, Data Mining in Decision Making, Predictive Analytics & Big Data, Data Mining & Analytics and etc. He has chaired the INFORMS 2015 Data Mining & Analytics Workshop and INFORMS 2016 Data Mining & Decision Analytics Workshop. He has also chaired the Business Analytics Track of Decision Sciences Institute Conference 2018.

Asil Oztekin has been selected as the "Faculty Honoree of 29 Who Shine" in May 2014 by the Governor and Department of Higher Education in Massachusetts. He has also been nominated by the nominating committee as one of two finalists for the prestigious INFORMS Data Mining Society’s Lifetime Achievement Award after years of service and leadership to INFORMS, DSI, and others and data mining/data science field at large. Oztekin received the Teaching Excellence Award in April 2014 and 2021, has also been the Outstanding Recognized Researcher of the Manning School of Business awarded by the Vice Provost for Research of UMass Lowell in February 2014 and in March 2016. Additionally, he has been recognized on the Faculty Honors & Awards Wall of UMass Lowell in Summer 2016. Dr. Oztekin has received the Teradata University Network Faculty Scholarship Award in 2017 for his advising within the Analytics Challenge contest. He was also the recipient of the Alpha Pi Mu Outstanding Industrial Engineering & Management Research Assistant Award from Oklahoma State University in 2009.

Selected Awards and Honors

  • Runner-Up at the INFORMS 19th Data Mining & Decision Analytics Workshop Best Paper Competition, Applied Track (2024)
  • Nominated as one of two finalists for the INFORMS Data Mining Society’s Lifetime Achievement Award (2024) - INFORMS
  • Listed among the Most Cited Articles in the European Journal of Operational Research (EJOR) (2022)
  • Selected by the EJOR Co-Editors-in-Chief among the top two papers “which are representative of EJOR and raised high interest” for the 32nd EURO Conference in Espoo-Finland. (2022)
  • Runner-Up (2nd Place) for the international-level Decision Sciences Institute Regional Best Paper Award across 6 regions (2021)
  • Best Application of Theory Paper Award (2021), Scholarship/Research - Northeast Decision Sciences Institute (NEDSI)
  • Recognized Researcher Awardee (2020) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • Winner of the international-level Decision Sciences Institute Regional Best Paper Award across 6 regions (2020)
  • Finalist, Best Paper Award in Data Mining (2020), Scholarship/Research - INFORMS
  • Best Contribution to Theory Paper Award (2020), Scholarship/Research - Northeast Decision Sciences Institute (NEDSI)
  • Best Overall Conference Paper Award (2020), Scholarship/Research - Northeast Decision Sciences Institute (NEDSI)
  • Editors’ Award for Excellence in Reviewing (2019), Service, Professional - European Journal of Operational Research
  • Recognized Researcher Awardee (2019) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • Chair of INFORMS Data Mining Section (2018)
  • Editors’ Award for Excellence in Reviewing (2018), Service, Professional - European Journal of Operational Research
  • INFORMS Data Mining Section, Vice Chair (Chair-Elect) (2017)
  • Recognized Researcher Awardee (2017) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • Teradata University Network Faculty Scholarship Awardee, Analytics Challenge Contest (2017)
  • Recognized Researcher Awardee (2016) - UMass Lowell Vice Provost for Research
  • UMass Lowell Honors & Awards Wall Honoree (2016) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • 29 Who Shine--the Most Influential Campus Mentor Honoree (2014) - Massachusetts Department of Higher Education
  • Listed in the Most Cited Articles Author List in Decision Support Systems journal (2014)
  • Recognized Researcher Awardee (2014) - UMass Lowell Vice Provost for Research
  • Teaching Excellence Award (2014) - University of Massachusetts Lowell
  • Participating Faculty Member of UMASS system-wide inter-campuses Biomedical Engineering & Biotechnology Program (2012) - University of Massachusetts
  • Hanel Storage Systems Honor Scholarship (2010) - Material Handling Education Foundation
  • Alpha Pi Mu Outstanding Researcher Award (2009) - Oklahoma State University, Industrial Engineering & Management

Selected Publications

  • Nasir, M. (Wichita State University), Summerfield, N., Carreiro, S. (University of Massachusetts Medical School & UMass Memorial Healthcare), Berlowitz, D., Oztekin, A. (2024). A Machine Learning Approach for Diagnostic and Prognostic Predictions, Key Risk Factors & Interactions. Health Services and Outcomes Research Methodology.
  • Nasir, M. (Wichita State University), Summerfield, N., Simsek, S. (Montclair State University), Oztekin, A. (2024). An Interpretable Machine Learning Methodology to Generate Interaction Effect Hypotheses from Complex Datasets. Decision Sciences.
  • Cankaya, B., Roberts, R., Douglas, S., Vigness, R., Oztekin, A. (2024). What postpones degree completion? Discovering key predictors of undergraduate degree completion through explainable artificial intelligence (XAI). Journal of Marketing Analytics.
  • Jabbari, M., Sheikh, S., Rabiee, M., Oztekin, A. (2022). A Collaborative Decision Support System for Multi-Criteria Automatic Clustering. Decision Support Systems, 153.
  • Yucel, A., Dag, A., Oztekin, A., Carpenter, M. (2022). A Novel Text Analytic Methodology for Classification of Product and Service Reviews. Journal of Business Research, 151 287-297.
  • Sheikh, S., Rabiee, M., Nasir, M., Oztekin, A. (2022). An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house. Computers & Industrial Engineering, 166.
  • Nasir, M., Dag, A., Simsek, S., Ivanov, A., Oztekin, A. (2022). Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement. Journal of Management Information Systems, 39(4) 1116-1145.
  • Simsek, S., Dag, A., Tiahrt, T., Oztekin, A. (). A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories. Omega, 100.
  • Bogaert, M., Ballings, M., Van den Poel, D., Oztekin, A. (2021). Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms. Decision Support Systems.
  • Nasir, M., Summerfield, N., Oztekin, A., Knight, M., Ackerson, L.K., Carreiro, S. (2021). Machine Learning-based Outcome Prediction and Novel Hypotheses Generation for Substance Use Disorder Treatment. Journal of the American Medical Informatics Association.
  • Rouyendegh, B.D., Oztekin, A., Ekong, J., Dag, A. (2020). A Data Scientific Approach to Measure Hospital Productivity (290:). International Series in Operations Research & Management Science, Springer
  • Hindle, G., Kunc, M., Mortensen, M., Oztekin, A., Vidgen, R. (2020). Business Analytics: Defining the field and identifying a research agenda. European Journal of Operational Research, 281(3) 483-490.
  • Kraus, M., Feuerriegel, S., Oztekin, A. (). Deep learning in business analytics and operations research: Models, applications and managerial implications. European Journal of Operational Research, 281(3) 628-641.
  • Nasir, M., Summerfield, N., Dag, A., Oztekin, A. (2020). A Service Analytic Approach to Studying Patient No-Shows. Service Business, 14(2) 287–313.
  • Albashrawi, M., Kartal, H., Oztekin, A., Motiwalla, L.F. (2019). Self-Reported and Computer-Recorded Experience in Mobile Banking: a Multi-Phase Path Analytic Approach. Information Systems Frontiers.
  • Oztekin, A., Al-Ebbini, L., Sevkli, Z., Delen, D. (2018). A Decision Analytic Approach to Predicting Quality of Life for Lung Transplant Recipients: A Hybrid Genetic Algorithms-based Methodology. European Journal of Operational Research.
  • Oztekin, A., Delen, D., Sharda, R. (2018). Data Mining & Decision Analytics. Decision Sciences.
  • Turkyilmaz, A., Temizer, L., Oztekin, A. (2017). A Causal Analytic Approach to Student Satisfaction Index Modeling. Annals of Operations Research.
  • Chen, Y., Chen, Y., Oztekin, A. (2017). A hybrid data envelopment analysis approach to analyse college graduation rate at higher education institutions. INFOR: Information Systems and Operational Research, 55(3) 188–210.
  • Rouyendegh, B.D., Topuz, K., Dag, A., Oztekin, A. (2017). An AHP-IFT Integrated Model for Performance Evaluation of E-commerce Web Sites. Information Systems Frontiers.
  • Oztekin, A. (2017). Creating a marketing strategy in healthcare industry: a holistic data analytic approach. Annals of Operations Research, 1–22.
  • Dag, A., Oztekin, A., Yucel, A., Bulur, S., Megahed, F. (2017). Predicting heart transplantation outcomes through data analytics. Decision Support Systems, 94 42–52.
  • Topuz, K., Uner, H., Oztekin, A., Yildirim, M.B. (2017). Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network. Annals of Operations Research, 1–21.
  • Albashrawi, M., Kartal, H., Oztekin, A., Motiwalla, L.F. (2017). The Impact of Subjective and Objective Experience on Mobile Banking Usage: An Analytical Approach. Proceedings of the 50th Hawaii International Conference on System Sciences (HICCS-50)
  • Oztekin, A. (2016). A hybrid data analytic approach to predict college graduation status and its determinative factors. Industrial Management & Data Systems, 116(8) 1678–1699.
  • Dag, A., Topuz, K., Oztekin, A., Bulur, S., Megahed, F.M. (2016). A Probabilistic Data-Driven Framework for Scoring the Preoperative Recipient-Donor Heart Transplant Survival. Decision Support Systems, 86 1–12.
  • Kartal, H., Oztekin, A., Gunasekaran, A., Cebi, F. (2016). An Integrated Decision Analytic Framework of Machine Learning with Multi-Criteria Decision Making for Multi-Attribute Inventory Classification. Computers & Industrial Engineering.
  • Hindle, G., Kunc, M., Mortensen, M., Oztekin, A., Vidgen, R. (2016). Business Analytics: Defining the field and identifying a research agenda. European Journal of Operational Research.
  • Misiunas, N., Oztekin, A., Chen, Y., Chandra, K. (2016). DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status. Omega, 58 46 - 54.
  • AlEbbini, L., Oztekin, A., Chen, Y. (2016). FLAS: Fuzzy Lung Allocation System for US-based Transplantations. European Journal of Operational Research, 248(3) 1051–1065.
  • Oztekin, A. (2016). Information fusion-based meta-classification predictive modeling for ETF performance. Information Systems Frontiers.
  • Rouyendegh, B.D., Oztekin, A., Ekong, J., Dag, A. (2016). Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach. Annals of Operations Research, 1–18.
  • Oztekin, A., Kizilaslan, R., Freund, S., Iseri, A. (2016). A Data Analytic Approach to Forecasting Daily Stock Returns in an Emerging Market. European Journal of Operational Research, 253(3) 697–710.
  • Cimenler, O., Reeves, K., Skvoretz, J., Oztekin, A. (2015). A Causal Analytic Model to Evaluate the Impact of Researchers’ Individual Innovativeness on Their Collaborative Outputs. Journal of Modelling in Management, 11(2).
  • Yayla, A.Y., Oztekin, A., Gumus, A.T., Gunasekaran, A. (2015). A Hybrid Data Analytic Methodology for 3PL Transportation Provider Evaluation Using Fuzzy Multi-Criteria Decision Making. International Journal of Production Research, 53(20) 6097–6113.
  • Oztekin, A., Masterson, R. (2015). A Predictive Analytic Approach to Determine Construction Cost Estimates. International Journal of Operational Research.
  • Chen, V., Oztekin, A., Sundaramoorthi, ., Duraikannan, ., Kim, S. (2015). Data Mining & Analytics. Annals of Operations Research.
  • Misiunas, N., Raspopovic, M., Chandra, K., Oztekin, A. (2015). Sensitivity of Predictors in Educational Data: A Bayesian Network Model.
  • Oztekin, A., Delen, D., Zaim, H., Turkyilmaz, A., Zaim, S. (2015). The Influence of Knowledge Management on Financial and Non-Financial Performance. Journal of Information & Knowledge Management, 14(2) 1550013.
  • Oztekin, A., Best, K., Delen, D. (2014). Analyzing the Predictability of Exchange Traded Funds Characteristics in the Mutual Fund Market on the Flow of Shares Using a Data Mining Approach (pp. 779–788).
  • Sevim, C., Oztekin, A., Bali, O., Gumus, S., Guresen, E. (2014). Developing an Early Warning System to Predict Currency Crises. European Journal of Operational Research, 237(3) 1095–1104.
  • Delen, D., Oztekin, A. (2014). Introduction to Data, Text, and Web Mining for Managerial Decision Support Minitrack (pp. 768–768).
  • Cimenler, O., Oztekin, A., Reeves, K., Kasti, M. (2014). Testing a Multisource Feedback Instrument in Healthcare Organizations. International Journal of Decision Sciences, 5(1) 1–22.
  • Oztekin, A., Riaz Khan, M. (2014). A business-analytic approach to identify critical factors in quantitative disciplines. Journal of Computer Information Systems, 54(4) 60-70.
  • Oztekin, A., Delen, D., Turkyilmaz, A., Zaim, S. (2013). A Machine Learning-based Usability Evaluation Method for eLearning Systems. Decision Support Systems, 56 63–73.
  • Oztekin, A., Iseri, A., Zaim, S., Nikov, A. (2013). A Taguchi-based Kansei Engineering Study of Mobile Phones at Product Design Stage. Production Planning & Control, 24(6) 465–474.
  • Delen, D., Oztekin, A., Demirkan, H. (2013). Introduction to Predictive Analytics and Big Data Minitrack (pp. 1268–1268).
  • Turkyilmaz, A., Oztekin, A., Zaim, S., Demirel, O.F. (2013). Universal Structure Modeling Approach to Customer Satisfaction Index. Industrial Management & Data Systems, 113(7).
  • Delen, D., Oztekin, A., Tomak, L. (2012). An Analytic Approach to Better Understanding and Management of Coronary Surgeries. Decision Support Systems, 52(3) 698–705.
  • Oztekin, A. (2012). An Analytical Approach to Predict the Performance of Thoracic Transplantations. JCC: The Business and Economics Research Journal, 5(2) 185–206.
  • Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., Delen, D. (2012). Development of a Fuzzy ANP-based SWOT Analysis for the Airline Industry in Turkey. Expert Systems with Applications, 39(1) 14–24.
  • Delen, D., Oztekin, A., Kolkiran, A. (2012). Intelligent Computational Techniques in Science, Engineering, and Business. Expert Systems with Applications, 39(1) 1–2.
  • Oztekin, A. (2011). A Decision Support System for Usability Evaluation of Web-based Information Systems. Expert Systems with Applications, 38(3) 2110–2118.
  • Oztekin, A., Kong, Z.J., Delen, D. (2011). Development of a Structural Equation Modeling-based Decision Tree Methodology for the Analysis of Lung Transplantations. Decision Support Systems, 51(1) 155–166.
  • Delen, D., Oztekin, A., Kong, Z.J. (2010). A Machine Learning-based Approach to Prognostic Analysis of Thoracic Transplantations. Artificial Intelligence in Medicine, 49(1) 33–42.
  • Oztekin, A., Pajouh, F.M., Delen, D., Swim, L.K. (2010). An RFID Network Design Methodology for Asset Tracking in Healthcare. Decision Support Systems, 49(1) 100–109.
  • Oztekin, A., Mahdavi, F., Erande, K., Kong, Z., Swim, L.K., Bukkapatnam, S.T. (2010). Criticality Index Analysis-based Optimal RFID Reader Placement Models for Asset Tracking. International Journal of Production Research, 48(9) 2679–2698.
  • Oztekin, A. (2010). Data mining-based Survival Analysis and Simulation Modeling for Lung Transplant. Oklahoma State University
  • Kong, Z., Oztekin, A., Beyca, O.F., Phatak, U., Bukkapatnam, S., Komanduri, R. (2010). Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling. IEEE Transactions on Semiconductor Manufacturing, 23(2) 316–327.
  • Oztekin, A., Kong, Z.J., Uysal, O. (2010). UseLearn: A Novel Checklist and Usability Evaluation Method for eLearning Systems by Criticality Metric Analysis. International Journal of Industrial Ergonomics, 40(4) 455–469.
  • Oztekin, A., Delen, D., Kong, Z.J. (2009). Predicting the Graft Survival for Heart–Lung Transplantation Patients: An Integrated Data Mining Methodology. International Journal of Medical Informatics, 78(12) e84–e96.
  • Oztekin, A., Nikov, A., Zaim, S. (2009). UWIS: An Assessment Methodology for Usability of Web-based Information Systems. Journal of Systems and Software, 82(12) 2038–2050.
  • Kong, Z., Huang, W., Oztekin, A. (2009). Variation Propagation Analysis for Multistation Assembly Process with Consideration of GD&T Factors. Journal of manufacturing science and engineering, 131(5) 051010.
  • Oztekin, A., Nikov, A., Zaim, S., Guner, A.R. (2006). Measuring the Usability of Web-Based Services Exemplified by University Student Information System. Integration, 19(Q21) Q22.
  • Nikov, A., Zaim, S., Oztekin, A. (2006). Usability evaluation of web services by structural equation modeling. CMAIA2006, 25–26.

Selected Presentations

  • Predicting Patient No-shows via a Hybrid Business Analytics Methodology - 2019 INFORMS Annual Meeting, October 2019 - Seattle, WA
  • Predicting Patient No-Shows via a Hybrid Business Analytics Methodology - Decision Sciences Institute Annual Conference, November 2018 - Chicago, IL
  • Predicting Patient No-Shows via a Hybrid Business Analytics Methodology - INFORMS 13th Data Mining & Decision Analytics Workshop, November 2018 - Phoenix, AZ
  • A Holistic Data Analytic Approach to Determine Impacts of the Caregiver Advise, Record, Enable (CARE) Act on Reducing Readmission and Mortality Rates among Older Adults - INFORMS Annual Meeting, November 2018 - Phoenix, AZ

Selected Contracts, Fellowships, Grants and Sponsored Research

  • A Holistic Data Analytic Modeling of Health Outcomes for Different Vulnerable Risk Groups (2018), Grant - IDEA Leadership Fund
    Oztekin, A. (Principal), Knight, M. (Co-Principal), Evans, K. (Supporting), Summerfield, N. (Supporting), Lee, S. (Supporting), Ackerson, L.K. (Supporting),
  • The CARE Act: Processes Affecting the Community/Caregiver Perspective of Caring for Older Adults (2018), Grant - Manning School of Business and the Zuckerberg College of Health Sciences
    Kronrod, A. (Supporting), Knight, M. (Principal), Evans, K. (Co-Principal), Summerfield, N. (Co-Principal), Abdallah, L.M. (Co-Principal), Oztekin, A. (Supporting)
  • Improving Organ Transplantation with Advanced Analytics (2012), Sponsored Research - Advancing Research, Scholarship, and Creative Work Seed Grants, Funded
    Oztekin, A.