Mehmet U.S. Ayvaci. University of Texas at Dallas Jindal School of Management Information Systems and Operations Management January 2016

Transcription

1 EDUCATIONAL HISTORY University of Wisconsin Madison, WI August 2012 Ph.D. in Industrial & Systems Engineering Stanford University Palo Alto, CA 2005 M.S. in Management Science & Engineering Texas A&M University College Station, TX 2003 B.S. in Industrial Engineering EMPLOYMENT HISTORY Mehmet U.S. Ayvaci University of Texas at Dallas Jindal School of Management Information Systems and Operations Management January 2016 Information Systems & Operations Management at the University of Texas, Dallas, TX Assistant Professor (2012-Current) Industrial and Systems Engineering at the University of Wisconsin, Madison, WI Research Assistant ( ) Radiology Department at the University of Wisconsin, Madison, WI Research Assistant ( ) Center for Operations Excellence (COE), Vancouver, BC Project Manager ( ) EPCGlobal-GS1 US (RFID Standardization Consortium), Lawrenceville, NJ Business Analyst (2005) PROFESSIONAL RECOGNITIONS AND HONORS Young Researcher Award, WHITE Workshop (2016), Information Aggregation and Classification Under Anchoring Bias: An Application to Judgments Based on Breast Imaging (coauthors ME Ahsen and S Raghunathan) Best Paper Finalist, CIST Workshop (2015), WHITE Workshop (2015) An Empirical Study of HIE Adoption and Its Implications on Operational Performance in Emergency Departments (With T Ayer, Z Karaca, H Wong, J Vlachy) Best Student Paper Finalist, Decision Analysis Society, INFORMS (2015), Information Aggregation and Classification Under Anchoring Bias: An Application to Judgments Based on Breast Imaging (ME Ahsen is the student entrant) UT Dallas Undergraduate Research Scholar Award (2015), Student ($500) & Faculty ($300) Effects of New Deceased Donor Kidney Allocation Policy on Candidate Access and Wait Times, Faculty Adviser to FG Torlak, the awardee (2015) Best Student Paper Award, Decision Analysis Society, INFORMS (2012) & Honorable Mention, Doing Good with Good OR Competition, INFORMS (2012) The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions (Self)

2 PROFESSIONAL MEMBERSHIPS Association for Information Systems (AIS), 2012-Current The Institute For Operations Research and The Management Sciences (INFORMS), Health Information Management Systems Society (HIMSS), Society of Medical Decision Making (SMDM), Radiological Society of North America (RSNA), Current ACHIEVEMENTS IN ORIGINAL INVESTIGATION MANAGEMENT JOURNALS Clinical Decision Making and Machine Learning 1. The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions Ayvaci MUS, Alagoz O, Burnside ES Manufacturing & Service Operations Management, 14 (4) p , Timing the Use of Breast Cancer Risk Information in Biopsy Decision Making Ayvaci MUS, Ahsen ME, Raghunathan S, Gharibi Z Forthcoming at Production and Operations Management. The research findings attracted some attention from more than a dozen news outlets including Science Daily, MedicalXpress, Medical News Today etc The Role of Patient Preferences in Optimally Managing Post-Mammography Diagnostic Decisions Ayvaci MUS, Alagoz O, Burnside ES Under Review. 4. Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis Ahsen ME, Ayvaci MUS, Raghunathan S Under Review. Young Researcher Award at WHITE, finalist at DAS best student paper competition at INFORMS Economics of Health Information and Technology 5. An Empirical Study of HIE Adoption and Its Implications on Operational Performance in Emergency Departments (Authors Ordered Alphabetically) Ayer T, Ayvaci MUS, Karaca Z, Vlachy J Under Review. The study was finalist at CIST best paper competition at INFORMS, and finalist at WHITE best paper competition. 6. Role of Payment Mechanisms In the Value and Adoption of Health Information Exchages (HIEs) Ayvaci MUS, Cavusoglu H, Raghunathan S. Under Review. 7. Medical Guideline Making Under Widespread HIT Adoption When Litigation is a Concern Kim Y, Ayvaci MUS, Raghunathan S, Ayer T. Under Review 8. To Bundle or not To Bundle: Aligning Incentives for Hospitals and Physicians With Ayer T, Vlachy J. Working Paper. Other 9. Uniformization in Markov Decision Processes Alagoz O, Ayvaci MUS Encyclopedia for Operations Research and Management Science edited by James J. Cochran, John Wiley & Sons, Inc (Refereed book chapter) 10. Optimally Solving Markov Decision Processes with Total Expected Discounted Reward Function: Linear Programming Revisited Alagoz O, Ayvaci MUS, Linderoth J T Computers & Industrial Engineering, 2015 doi: Searching for a Hotel Room: Real-time Management of Agents Search Behavior With Bhattacharjee A, Mookerjee R. Working Paper 1 See for example

3 CLINICAL AND INFORMATICS JOURNALS Health Economics (Primarily Comparative and Cost-Effectiveness Analysis) 12. Cost-effectiveness Analysis of Immunosuppression Therapy in Primary Deceased Donor Renal Transplantation Gharibi Z, Ayvaci MUS, Hahsler M, Tanriover B Accepted at Transplantation, (2016). 13. Acute Rejection Rates and Graft Outcomes According to Induction Regimen among Recipients of Kidneys from Deceased Donors Treated with Tacrolimus and Mycophenolate Tanriover B, Zhang S, Gao A, Sandikci B, Ayvaci MUS, Mete M, Tsapepas D, Rajora N, Mohan P, Lakhia R, Lu C, Vazquez M CJASN 2, (2016) 14. Induction therapies in live donor kidney transplantation on tacrolimus and mycophenolate with or without steroid maintenance Tanriover B, Zhang S, Gao A, Sandikci B, Ayvaci MUS, Mete M, Tsapepas D, Rajora N, Mohan P, Lakhia R, Lu C, Vazquez M CJASN 2, (2015) (An editorial was accompanied). 15. Cost-effectiveness of adjuvant FOLFOX and LV5FU2 chemotherapy for patients with stage II colon cancer Ayvaci MUS, Shi J, Alagoz O, Lubner S Medical Decision Making 3, 33 (4), p , (Was included in Tufts Medical Center cost-effectiveness analysis registry, therefore has a direct impact - Analytics in Healthcare 16. Estimating Waiting Time for Deceased Donor Renal Transplantation in the Era of New Kidney Allocation System Torlak F, Ayvaci MUS, Ahsen ME, Arce C, Miguel Vasquez, Tanriover B. Accepted at Transplantation Proceedings. (Was highlighted by Kidney News monthly magazine of American Society of Nephrology as the cover story) 17. Predicting Invasive Breast Cancer versus DCIS in Different Age Groups Ayvaci MUS, Alagoz O, Chhatwal J, del Rio AM, Sickles E, Nassif H, Kerlikowske K, Burnside ES BMC Cancer 4, 14:584, A Comprehensive Methodology for Determining the Most Informative Mammographic Features Wu Y, Alagoz O, Ayvaci MUS, del Rio MJ, Vanness DJ, Woods R, Burnside ES Journal of Digital Imaging 5, 26 (5), p , Computer Aided Diagnostic Models in Breast Cancer Screening Ayer T, Ayvaci MUS, Liu ZX, Alagoz O, Burnside ES Imaging in Medicine, 2(3) p , (Invited paper) 20. Uncovering Age-Specific Invasive and DCIS Breast Cancer Rules Using Inductive Logic Programming Nassif H, Page D, Ayvaci MUS, Shavlik J, and Burnside E S 1st ACM International Health Informatics Symposium (IHI 10), Arlington, VA, pp , (Refereed conference paper) 21. Information Extraction for Clinical Data Mining: A Mammography Case Study Nassif H, Woods R, Burnside E S, Ayvaci MUS, Shavlik J, and Page D 9th IEEE International Conference on Data Mining Workshops (ICDMW 09), Miami, pp , (Refereed conference paper). REFEREED EXTENDED CONFERENCE ABSTRACTS ( indicate the presenter) 22. Medical Guideline Making Under Widespread HIT Adoption When Litigation is a Concern Kim Y*, Ayvaci MUS, Raghunathan S, Ayer T. CIST Workshop (2016), WHITE Workshop (2016) 23. Optimal Use of Multiple Sources of Information Under Anchoring Bias: An Application to Judgments on Breast Imaging Ahsen ME, Ayvaci MUS*, Raghunathan S WHITE Workshop (2016) impact factor: 5.250, #6 among 74 in urology & nephrology SCI Impact Factor: 2.890, #4 among 23 in medical informatics, #12 among 83 in Health Services subjects SCI Impact Factor: 3.319, #72 among 202 in Oncology SCI Impact Factor: 1.421, #68 among 121 in medical imaging subject

4 24. Incentivizing Health Information Exchange Adoption Through Alternative Payment Models WISE Workshop (2015) Ayvaci MUS*, Cavusoglu H, Raghunathan S. 25. Does Health Information Exchange Move Patients Through Emergency Departments Faster? INFORMS Healthcare Conference, WHITE, CIST (2015), WHITE (2014) (authors alphabetically ordered) Ayer T, Ayvaci MUS*, Karaca Z, Vlachy J, Wong H. 26. An Analytic Approach to Preference-Sensitive Decision Making in Health Care: Case of Post-Mammography Diagnostic Decisions WHITE (2013), INFORMS Healthcare Conference (2013) Ayvaci MUS*, Alagoz O, Burnside ES 27. How Budgetary Restrictions Effect Post-Mammography Management Decisions: An Analytical Model 97th Annual Meeting of Radiology Society of North America, Chicago, IL (2011) Ayvaci MUS*, Alagoz O, Burnside ES 28. Expected Utility Model Used to Compare the Value of Screening Versus Diagnostic Mammography Proceedings of the 33rd Annual Meeting of the SMDM (2011) Wu Y*, Vanness D J, Ayvaci MUS, Alagoz O, Burnside ES 29. Determining the Most Informative Features in Breast Cancer Diagnosis by Multidimensional Mutual Information Analysis and Bayesian Reasoning Proceedings of the 33rd Annual Meeting of the SMDM (2011) Wu Y*, Ayvaci MUS, Alagoz O, Vanness D J, Burnside ES 30. The Effect of Budgetary Restrictions on the Optimal Decision Thresholds for Breast Cancer Diagnosis Proceedings of the 32nd Annual Meeting of the SMDM (2010) Ayvaci MUS*, Alagoz O, Burnside ES 31. Mutual Information Analysis Used to Determine Most Informative Features in Breast Cancer Diagnosis Proceedings of the 32nd Annual Meeting of the SMDM (2010) Wu Y*, Alagoz O, Burnside ES, Ayvaci MUS, Page D, Shachter R 32. Superior Performance of Bayesian Networks in Predicting the Risk of Invasive versus In-Situ Breast Cancer in Older Women Proceedings of the 31st Annual Meeting of the SMDM (2009) Ayvaci MUS*, Alagoz O,Chhatwal J, Burnside ES Invited Talks Mendoza College of Business, University of Notre Dame, IN (2016) Agency for Healthcare Research and Quality, Rockville, MD (2016). Smeal College of Business, Pennsylvania State University (2015). Patient-Centric Healthcare Management in the Age of Analytics Conference, Kelley School of Business, Indiana University (2015). Booth School of Business, University of Chicago (2015) Industrial and Systems Engineering, Georgia Institute of Technology (2014) Clinical Sciences Department, UT Southwestern Medical Center (2013) INFORMS Doing Good woth Good OR Student Competition (2012) INFORMS Decision Analysis Society Best Student Paper Winner Presentation, Decision Analysis Society Meeting (2012) ISOM at Jindal School of Management, University of Texas at Dallas (2012) Industrial Engineering, Arizona State University (2012) Department of Public Health, Division of Health Policy at Weill Cornell Medical College, Cornell University (2012) Invited Conference Presentations Incentivizing Health Information Exchange Adoption Through Alternative Payment Models POMS (2016) INFORMS (2015, 2016) WISE (2016) The Impact of Patient Profile Information on Mammographic Interpretation: Bias in Clinical Decision Making POMS (2014, 2015) Health Systems Optimization Workshop, Northwestern University (2014) Advances in Decision Analysis Conference, Georgetown University (2014) The Role of Patient Preferences in Managing Post-Mammography Diagnostic Decisions INFORMS (2012) POMS (2014) Optimizing Breast Cancer Diagnosis under Resource Constraints INFORMS (2010) Age Stratified Risk Prediction of Invasive versus In-situ Breast Cancer: A Logistic Regression Model INFORMS (2009)

5 TEACHING Doctoral Advisement Yeong In Kim ( Expected to receive PhD in 2018, Co-advise with Raghunathan S), Information Systems at the University of Texas at Dallas, Project Subject: The Optimal use of Health Information under Physicians Defensive Behavior. Jan Vlachy (Expected to receive PhD in co-advise with Turgay Ayer since 2014), Industrial Engineering at the Georgia Institute of Technology, Dissertation Subject: Impact of Health Information Exchange on Healthcare Service Delivery. Zahra Gharibi (Expected to receive PhD in co-advise with M Hahsler and B Tanriover since September 2013), Systems Engineering at the Southern Methodist University, Dissertation Subject: Optimal Kidney Transplantation. Other Notable Advisement/Service Anwesha Bhattacharjee (Committee member, December 2015-May 2016), Information Systems at the Jindal School of Management Mehmet Ahsen (Extracurricular Independent Study, Fall 2013-Spring 2015), PhD student at Bioengineering at the University of Texas at Dallas, Sezgin Ayabakan (Committee member, August 2014), Information Systems at the Jindal School of Management Classroom Teaching University of Texas at Dallas, Jindal School of Management Course Instructor HMGT 6334: Healthcare Analytics GR level (Fall ) HMGT 6323, MIS6317: Healthcare Informatics GR level (Fall ) HMGT 4323, MIS 4320: Intro to Healthcare Information Systems UG level (Fall ) Society of Medical Decision Making Annual Meeting Co-organized and co-instructed Short course on Medical Decision Making with Bayesian Networks ( ) University of Wisconsin, Madison,WI Helped in course preparation and assisted in teaching ISYE 517: Decision Making in Health Care GR level (Spring 2010) Graded and guest lecturer ISYE 723: Dynamic Programming and Associated Topics GR level (Fall 2011) University of British Columbia, Vancouver,BC Co-organized and Co-instructed BAMS 580: Developing Decision Support Tools for Operations Research GR level (Fall 2008) Stanford University, Palo Alto,CA Assisted in teaching SERVICE MS&E 264: Manufacturing Systems Design GR level (Fall 2004) Conferences INFORMS Healthcare Conference Cluster Chair for Health Information Technology and Management (2015), CIST Program Committee (2015, 2016), WISE Workshop Discussant (2015) Judge for INFORMS Pierskalla Student Paper competition, first and final round (2014), INFORMS Decision Analysis Society Best Student Paper Competition (2013), Canadian Operations Research Society Best Student Paper Competition (2013). Ad Hoc Referee for Management Science, ISR, POMS, M&SOM, Operations Research, ICIS, CIST, TMIS, Interfaces, Omega, BMC Health Services Research, National Science Foundation Grant Reviews, Medical Decision Making, Decision Sciences, Breast Cancer Research and Treatment.