Ph.D., Industrial Engineering, Northeastern University
M.S., Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
B.S., Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
An expert in industrial engineering and engineering education, Dr. Kongar’s research focuses on reverse supply chain management, reverse logistics systems, and economically and environmentally sustainable waste recovery systems and operations. She is a co-author of “Responsible Manufacturing: Issues Pertaining to Sustainability” as well as “Nutrition at the Crossroads: Food at the Intersection of Environmental, Economic, and Social Sustainability.”
She also studies female participation in engineering disciplines and K-12 STEM education.
Prior to joining the University of New Haven in 2022, Dr. Kongar served as served as associate dean of graduate studies at Fairfield University. Prior to that, she was chair of the Department of Technology Management in the School of Engineering at the University of Bridgeport.
She also previously served as a visiting scholar with the Center for Industrial Ecology in the Yale’s School of Forestry and Environmental Studies and taught at Yildiz Technical University in Istanbul, Turkey.
Dr. Kongar serves as department editor of the Institute of Electrical and Electronics Engineers’ peer-reviewed journal Transactions on Engineering Management. She is a member of IEEE’s Professional and Educational Activities Committee that is part of the organization’s Technology and Engineering Management Society. She is also a member of the Society of Women Engineers and the Logistics Association.
See MoreBrem, A., Kongar, E., Eckert, C., Santiago, L.P., and Daim, T.U., “Editorial: Publishing in Peer-Reviewed Journals,” in IEEE Transactions on Engineering Management, vol. 68, no. 1, pp. 5-10, Feb. 2021, doi: 10.1109/TEM.2020.3006327.
Zel, S., Kongar, E., “Engaging Learners in Synchronous Online Training Using Facial Expression Analysis Technology”, IEEE Engineering Management Review, Manuscript ID: EMR-20-0227.R1, Accepted for publication on January 25, 2021.
Singh, J.G., Kongar, E., “Value Creation via Accelerated Digital Transformation”, IEEE Engineering Management Review”, Manuscript ID: EMR-21-0010, Accepted for publication on January 15, 2021.
Adebayo, O., Kongar, E., “Impact of Social Media Marketing on Business Performance: A Hybrid Performance Measurement Approach Using Data Analytics and Machine Learning”, Manuscript ID: EMR-21-0002, IEEE Engineering Management Review, Accepted for publication on Jan. 3, 2021.
Zel, S., and Kongar, E., “Influential Factors in Design And Implementation Of Virtual Reality Technology”, International Journal of Science and Technology, 6(3), 72-86. https://doi.org/10.20319/mijst.2020.63.7286, 2020.
Büyüközkan, G., Mukul, E., Kongar, E., “Health tourism strategy selection via SWOT analysis and integrated hesitant fuzzy linguistic AHP-MABAC approach”, Socio-Economic Planning Sciences, Accepted: 7/31/2020, Submission #: SEPS_2020_391_R1.
Tozanli, O., Kongar E., Gupta S.M., “Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the era of Blockchain”, Sustainability, Manuscript ID: sustainability-846479, Published: July 4, 2020.
Duman, G. M., Kongar, E. and Gupta, S. M., “Predictive Analysis of Electronic Waste For Reverse Logistics Operations: A Comparison of Improved Univariate Grey Models”, Soft Computing, SOCO-D-19-01926R2, Accepted, March 2020, Published: April 2020.
Vo, B. and Kongar, E., Suárez Barraza, M.F., “Root-Cause Problem Solving in an Industry 4.0 Context”, IEEE Engineering Management Review, pp. 1-9, Print ISSN: 0360-8581, Online ISSN: 1937-4178 Digital Object Identifier: 10.1109/EMR.2020.2966980, January 2020.
Tozanli, O., Kongar, E. and Gupta, S. M., “Trade-in-to-Upgrade as a Marketing Strategy in Disassembly-to-Order Systems at the Edge of Blockchain Technology”, International Journal of Production Research, Vol. 58, No. 23, 7183-7200, 2020.
Duman, G. M., Kongar, E. and Gupta, S. M., “Estimation of electronic waste using optimized multivariate grey models”, Waste Management, Volume 95, Pages 241-249, 2019.
Alshibli, M., ElSayed, A., Kongar, E., Sobh, T., Gupta, S.M., “Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation”, Robotics, 8(1), 20, 2019.
Duman, G. M., El Sayed, A., Kongar, E. and Gupta, S. M., “An Intelligent Multi-Attribute Group Decision Making Approach with Preference Elicitation for Performance Evaluation”, IEEE Transactions on Engineering Management, TEM-18-0629, Accepted (19-Feb-2019).
Vo, B. and Kongar, E., Suárez Barraza, M.F., “Kaizen Event Approach: A Case Study In Packaging Industry”, International Journal of Productivity and Performance Management (IJPPM), Manuscript ID IJPPM-07-2018-0257, Accepted 12-Feb-2019, Published June 2019.
ElSayed, A., Kongar, E., Mahmood, A., Sobh, T., and Boult, T., Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition, https://arxiv.org/pdf/1811.04358.pdf, 2018.
Duman, G.M., Taskaynatan, M., Kongar, E., Rosentrater, K.A., “Integrating Environmental and Social Sustainability into Performance Evaluation: A Balanced Scorecard-Based Grey-DANP Approach for the Food Industry”, Frontiers in Nutrition, Vol. 5, DOI 10.3389/fnut.2018.00065, 2018.
Ahmed El Sayed, Kongar, E., A., Mahmood, A., and Sobh, T, “Unsupervised Face Recognition in the Wild using High Dimensional Features under Super Resolution and 3D Alignment Effect”, Signal, Image and Video Processing, May 2018.
Alshibli, M., El Sayed, A., Tozanli, O., Kongar, E./, Sobh, T. and Gupta, S.M., “A Decision Maker-Centered End-of-Life Product Recovery System for Robot Task Sequencing”, Journal of Intelligent and Robotic Systems, pp 1–14, November, 2017.
Tozanli, O, Duman, G.M., Kongar, E., and Gupta, S. M., “Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey”, Logistics, 1(1), 4; 2017.
Duman, G. M., Tozanli, O., Kongar, E. and Gupta, S. M., “A Holistic Approach for Performance Evaluation Using Quantitative and Qualitative Data: A Food Industry Case Study”, Expert Systems with Applications, Vol. 81, No. 1, 410-422, 2017.
Shrivastav, H., Kongar, E. , “Information Overload in Organization: Impact on Decision Making and Influencing Strategies”, Session: NA3: Engineering Management I, 2021 IEEE Technology & Engineering Management Conference (TEMSCON) – Europe, Innovation Networks, Entrepreneurship, Information Technology And Artificial Intelligence, Virtual Conference, 17th -21st May 2021.
Famodimu, E., Kongar, E. , “The Role of Robotic Process Automation on Business Transformation”, Presentation-Full Paper, Track: Cyber Security, IT, and Emerging Technologies, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Adebayo, O., Kongar, E. , “Using Artificial Intelligence to Guide SME Social Media Marketing Strategy”, Presentation-Abstract, Track: Big Data, Analytics, and Knowledge Management, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Duman, G.M., Kongar, E. , and Gupta, S.M., “Optimized Support Vector Machine in Multi-Class Text Classification”, Presentation-Abstract, Track: DSS, Machine Learning, and Artificial Intelligence, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Famodimu, E., Kongar, E. , “Leadership in the Implementation of ERP Systems: A Case Study of a Global Pharmaceutical Organization ERP migration to the Cloud”, Presentation-Full Paper, Track: Cyber Security, IT, and Emerging Technologies, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Singh, J.G., Kongar, E. , “Online consumer purchase decisions in the age of automation and artificial intelligence”, Presentation-Full Paper, Track: Human-Technology Interface, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Zel, S., Kongar, E. , “Transforming Digital Employee Experience with Artificial Intelligence”, The IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G 2020), Virtual, September 21-25, 2020.
Zel, S. Kongar, E. , “Success Factors in Design And Implementation of Virtual Reality Technology”, 2nd ICSTR Istanbul – International Conference on Science & Technology Research, 08-09 October 2020.
Adebayo, O., Kongar, E. , Tozanli, O, Sarkis, J., “Retail Social Media Usage and Ramification to Business Performance: A Comparative Analytical Study”, 2020 POMS Annual Conference, Minneapolis, MN, April 23-27, 2020.
Duman, G.M., Kongar, E. , Gupta, S.M., “A Comparison of Machine Learning Methods in Multi-Class Text Classification”, NEDSI 2020, Cambridge, MA, March 26-28, 2020, (Submitted: December 14, 2019).
Duman, G.M., Kongar, E. , Abstract (093-1332), “Estimation of electronic Waste to Improve Reverse Logistics Operations: A Comparison of Optimized Grey Models”, 2019 POMS Annual Conference, May 3 - 6, Washington, D.C., U.S.A, 2019.
Tozanli, O., Kongar, E. , and Gupta, S.M., “Supplier Selection Model for End-of- Life Product Recovery: An Industry 4.0 Perspective”, Chapter 14, Responsible Manufacturing: Issues Pertaining to Sustainability, Alqahtani, A.Y., Kongar, E., Pochampally, K.K., Gupta, S.M., CRC Press, February 25, 2019, ISBN 9780815375074.
Duman, G.M., Kongar, E. , and Gupta, S.M., A Holistic Grey-MCDM Approach for Green Supplier Elicitation in Responsible Manufacturing, Chapter 5, Responsible Manufacturing: Issues Pertaining to Sustainability, Alqahtani, A.Y., Kongar, E. , Pochampally, K.K., Gupta, S.M., CRC Press, February 25, 2019, ISBN 9780815375074.
Tozanli, O., and Kongar, E. , “Integration of Industry 4.0 Principles into Reverse Logistics Operations for Improved Value Creation: A Case Study of a Mattress Recycling Company,” Enterprise and Business Management - Industry 4.0, Accepted for Publication, 2018.
ElSayed, A., Duman, G. M., Tozanli, O., and Kongar, E. , “Computer Vision Application for Environmentally Conscious Smart Painting Truck”, Auer M., Zutin D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham, 510-516, 2018.
ElSayed, A., Kongar, E. , Gupta, S.M., and Sobh, T., “A Genetic Algorithm Approach to End-of-life Disassembly Sequencing for Robotic Disassembly”, Chapter 15, Prototyping of Robotic Systems: Applications of Design and Implementation, Xiong, X. and Sobh, T., Eds., IGI Global, Hershey, PA, 2011.
Rosentrater, K., and Kongar, E. , “Modeling the Addition of a Pelleting Operation at a Fuel Ethanol Plant and Examining the Effects on the Transportation and Logistics of DDGS”, Encyclopedia of Energy Engineering and Technology, Sohail Anwar, Ed., Taylor & Francis Group, New York, NY, 2011.
Kongar, E. and Gupta, S. M., “A Data Envelopment Analysis Approach for Household Appliances and Automobile Recycling”, Book chapter, Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization, Editor(s): Prof. Hsiao-Fan Wang, 2008.
Kongar, E. and Gupta, S. M., “The Promise of the Real-Time Supply Chain”, The Handbook of Technology Management, 3 Volume Set, Hossein Bidgoli, Editor-in-Chief, Copyright © John Wiley & Sons, Inc., 2009, Hoboken, N.J, 07030.
Kongar, E. and Gupta, S. M., “End-of-Life Processing via Data Envelopment Analysis”, in Research Methodology on Data Envelopment Analysis (DEA), Edited by Jibendu Kumar Mantri, Universal Publishers, Boca Raton, Florida, pp. 197-215, Chapter 12, ISBN: 978-1-59942-950-2, 2008.
Kongar, E. and Gupta, S. M., “Multi-Objective Optimization of Lot Size Balancing for Multi Products Selective Disassembly,” Multiple Criteria Decision Making in the New Millennium, Edited by Murat Koksalan and Stanley Zionts, Springer-Verlag, Lecture Notes in Economics and Mathematical Systems, Vol. 507, Berlin, Germany, pp. 338-347, ISBN: 3-540-42377-X, 2001.
In the Media
Elif Kongar, professor of economics and business analytics, says many factories that closed during the pandemic have yet to reopen, even though the demand for products has surged.