Asil Oztekin

University of Massachusetts Lowell | UML · Department of Operations and Information Systems

Please visit and consider submitting to the Business Analytics Track of DSI: https://decisionsciences.org/annual-meetings/national-dsi/tracks-and-track-chairs/

Modeling, synthesis, and diagnosis for large and complex manufacturing systems, with applications in automobile assembly systems.

Data Mining & Decision Analytics (DMDA) Workshop November 12, 2016 Nashville, TN The Data Mining, Analytics, Artificial Intelligence, Quality, Statistics & Reliability, Multi-Criteria Decision Making Sections, and Health Applications Society of INFORMS is organizing the 2016 INFORMS Workshop on Data Mining and Decision Analytics on November 12, 2016 in Nashville, TN in conjunction with the 2016 INFORMS Annual Conference. Timeline: June 30: maximum of 15-page papers due August 5: First round of review decisions sent out September 5: Revised papers due October 5: Second round of review decisions sent out November 12: Workshop Registration Fees All participants should pay the full amount of the regular Informs Conference Registration fee and additionally below listed fee to participate at this workshop. These below listed fees include full-day meal courses (breakfast, lunch, and dinner) for the day of November 12. Only the registered participants (both to the Informs Conference and to the DMDA Workshop itself) would be eligible to present, participate, and audit the event. Students: $75.00 per student Non-Students: $150.00 per non-student Sponsors of the DMDA Workshop TBA soon… Highlights of the DMDA Workshop • Best Paper Presentation Contest Authors of all papers which are accepted after a rigorous two-round review process AND after an in-person presentation at the workshop would be eligible for this contest. The contest is focused on coherence between the content of the paper as well as the presentation. It will be judged by a panel of DMDA Workshop co-chairs and session chairs on any topic related to data mining & decision analytics. In addition to a name-engraved plaque, following monetary awards would be presented to the winners: 1st place: $300; 2nd place: $200; 3rd place: $100 • Publication opportunity at the special issue: Participants of this workshop are encouraged to submit their extended manuscripts to the special issue of Data Mining & Decision Analytics at the Decision Sciences journal. For more information, contact the special issue guest editor Dr. Asil Oztekin at Asil_Oztekin@uml.edu • Editors’ Panel: How to publish in top-tier journals? Top-tier premier outlets of the leading journals in the field of data mining and decision analytics would be represented by their respective editors. After a short presentation of the editors (5 minutes each), there will be a Q&A session, in which the audience would have chance to ask questions to the editors. The following list of editors (and the corresponding journals they would represent in alphabetical order) will be participating at this panel:  Annals of Operations Research—Dr. Endre Boros  Decision Sciences—Dr. Cheri Speier-Pero  Decision Support Systems—Dr. James Marsden  European Journal of Operational Research—Dr. Roman Slowinski  Information Systems Frontiers—Dr. Ram Ramesh  INFORMS Journal on Computing—Dr. David Woodruff  Journal of the Association of Information Science & Technology—Dr. Javed Mostafa  Journal of Multi-Criteria Decision Analysis—Dr. Gilberto Montibeller  Manufacturing & Service Operations Management—Dr. Brian Tomlin  Omega: the International Journal of Management Science—Dr. Ben Lev  Production & Operations Management—Dr. Subodha Kumar • Keynote Speakers of the DMDA Workshop: Dr. Amit Basu is the Carr P. Collins Chair of Management Information Sciences at the Edwin L. Cox School of Business at Southern Methodist University where he serves as the Chairman of the Information Technology and Operations Management department. His research and teaching interests are in the areas of decision support systems, knowledge and data base systems, and ecommerce. He has published papers on these topics in a variety of top-tier outlets such as Management Science, Information Systems Research, Decision Support Systems, European Journal of Operational Research, Journal of Management Information Systems, and Omega. He has served on the editorial boards of several leading academic journals – he has been the Area Editor for INFORMS Journal on Computing, and Associate Editor for Management Science, Information Systems Research, the Information Technology and Management Journal, and an Editorial Board Member for the POMS Journal. From 2012-2013, he served as the President of the INFORMS Information Systems Society. Dr. David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor’s Professor at the University of Nebraska. He has published research in over 150 refereed journal articles, primarily on the topic of data mining, multi-objective decision making, and information technology. Additionally, he has co-authored the books Advanced Data Mining Techniques, Introduction to Business Data Mining, Enterprise Risk Management, Enterprise Information Systems, Enterprise Risk Management Models, and Financial Enterprise Risk Management. He has served as associate editor of Decision Support Systems, Decision Sciences, and Service Business, and co-editor in chief of International Journal of Services Sciences. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He is a Fellow of the Decision Sciences Institute. Dr. Nick Street received a Ph.D. in Computer Sciences from the University of Wisconsin-Madison in 1994. He is currently professor, departmental executive officer, and Henry B. Tippie Research Professor in the Management Sciences Department at the University of Iowa, with joint appointments in the Computer Science Department, the College of Nursing, and the Interdisciplinary Graduate Program in Informatics. He is also the director of the interdisciplinary graduate program in Health Informatics. His research interests are in algorithmic approaches to machine learning and data mining, particularly the use of mathematical optimization in inductive learning techniques. His recent work has focused on ensemble construction methods, knowledge transfer, correlation analysis, statistical relational learning, personalized medical decision making, and social network analysis. He has published over 110 journal, conference and workshop papers, and has received an NSF CAREER award and an NIH INRSA postdoctoral fellowship. He is a member of INFORMS, IEEE, ACM, AAAI, and AMIA. Dr. Olivia Sheng is Presidential Professor and Emma Eccles Jones Presidential Chair of Information Systems at the David Eccles School of Business, and an Adjunct Professor at School of Computing, University of Utah. She also directs the Global Knowledge Management Center to seek research and education extension of business intelligence and analytics, and organizes one of the first academic conferences on business intelligence annually. Her research focuses on web, text, and data mining as well as optimization techniques for clickstream analysis, social network analysis, search marketing, crowd-based predictive analytics, behavior targeting, bio-medical, digital government, telemedicine and telework applications. Her research has received funding from U.S. Food and Drug Administration, National Science Foundation, Overstock, Yahoo!, U.S. Army, IBM Tivoli, Toshiba Corp., Sun Microsystems, SAP University Alliance, and Wasatch Advisors. Currently, she engages companies in Utah such as Backcountry and Intermountain Healthcare Company to collaborate on research and capstone projects related to text mining and data mining. Papers should follow the belowlisted guidelines: • Maximum of 15 pages (including all-abstract, references, tables, and figures) • 11-point font with one-inch margins on four sides • Double-spaced Making Your Presentation 1. Go to the registration area of the Informs conference between 7:00am -5:00pm and pick up your name badge and other registration materials. 2. Arrive at your session at least 15 minutes early for A/V set-up and to check in with the session chair. 3. Limit your presentation to key issues with a brief summary. 4. Time your presentation to fit within your designated time span, leaving time for audience questions. Time per speaker is determined by the number of papers in the session, with equal time given to each paper. 5. Bring copies of your paper or other handouts to distribute to the audience. Courtesy to Fellow Speakers Attendees are asked to be respectful of their colleagues by turning off cell phones and mobile devices before the presentations begin. In addition, please note that use of cameras and all recording devices is prohibited during sessions unless you have received prior permission from the speaker and the session chair. Session Chair Guidelines The role of the Chair is to coordinate the smooth running of the session. The Chair: 1. Begins and ends the session on time. Each session lasts 90 minutes, with the time per presentation determined by the number of papers in the session. Equal time should be given to each paper. 2. Introduces each presentation (just the title of the paper and the name of the presenting author). 3. Ensures that presentations are made in the order shown in the program. This allows for “session jumping.” If a speaker cancels or does not attend, the original time schedule should be adhered to rather than sliding every talk forward. 4. Completes the session attendance forms (forms will be in the room). 5. Reminds the audience to (a) turn off all mobile devices and (b) that photography is not allowed without the prior permission of the speaker. Late Cancellations & No-Shows Please don’t be a “no-show.” While we understand that last-minute emergencies may prevent speakers from attending, we urge you to inform us so we can alert attendees. Speakers who fail to notify us that they are not attending are being unfair to their colleagues and the Organizing Committee. In an effort to improve the quality of the meeting, we maintain records of individuals who are late cancellations and “no-shows.” These people may be required to register in advance for future meetings in order for their papers to be scheduled. Send cancellation in writing a couple days prior the workshop to the managing chair, Dr. Asil Oztekin, with the reason for canceling. If a speaker is a “no-show,” the original time schedule should be adhered to rather than sliding every talk forward. This allows for effective session jumping. For inquiries, please contact Workshop co-Chairs: Asil Oztekin (University of Massachusetts Lowell, Department of Operations & Information Systems): Asil_Oztekin@uml.edu (Managing Chair) Cem Iyigun (Middle East Technical University, Department of Industrial Engineering): Iyigun@metu.edu.tr Ramin Moghaddess (University of Miami, Department of Industrial Engineering): Ramin@miami.edu Management Committee: Tom Au (AT&T Labs) Victoria Chen (University of Texas at Arlington) Kwok-Leung Tsui (Georgia Institute of Technology) Cynthia Rudin (MIT) George Runger (Arizona State University)