business analytics, data science, data mining, decision support systems, big data, medical informatics, healthcare systems engineering, healthcare analytics
Dr. Asil Oztekin is an Associate Professor of Analytics & Operations Management and the Coordinator of the Ph.D. Concentration in Management Science 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. He is currently serving as a tenure-track faculty at-large representative of all UML faculty within the Board of Massachusetts Society of Professors (MSP) Lowell, serving as the INFORMS Subdivisions Council member to represent the 20+ INFORMS sections and also currently serving in the Decision Sciences Institute (DSI) Professional Development Committee.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 and Decision Sciences Institute. His work has been published in high-impact journals such as Journal of Management Information Systems, European Journal of Operational Research, Decision Support Systems, International Journal of Production Research, OMEGA, Information Systems Frontiers, and Annals of Operations Research 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.Oztekin has 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 is serving as a Senior Editor of the Decision Support Systems journal and the Industrial Management & Data Systems journal (Data Science & Analytics section). He is also an Associate Editor of Decision Sciences journal (Business Analytics section), Associate Editor of OMEGA journal (Data-driven Decision Making & Analytics section), Journal of the Operational Research Society, Journal of Decision Systems, Journal of Business Analytics, and Service Business: an International Journal, also the Coordinating Editor of the Information Systems Frontiers journal within its executive group and an Editor of Annals of Operations Research, 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 member for the Journal of the Association for Information Systems, European Journal of Operational Research, Journal of Business Research (Big Data & Business Analytics section), Journal of Computer Information Systems, , International Journal of Medical Engineering & Informatics, Journal of Information & Knowledge Management among others. He serves as an ad-hoc reviewer for Management Science, Journal of Management Information Systems, Production & Operations Management journal, Journal of the Association for Information Systems, International Journal of Forecasting, International Journal of Production Research, International Journal of Production Economics, Annals of Operations Research, Computers & Industrial Engineering, Information Technology & Management, Applied Mathematical Modelling, Journal of Manufacturing Systems, 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. Oztekin received the Teaching Excellence Award in April 2014 and has 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.