Daria Terekhov

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J. Christopher BeckProfessor of Mechanical and Industrial Engineering, University of TorontoVerified email at mie.utoronto.ca
Taewoo LeeUniversity of PittsburghVerified email at pitt.edu
Douglas DownMcMaster UniversityVerified email at mcmaster.ca
Tony T. TranUniversity of TorontoVerified email at mie.utoronto.ca
Timothy ChanUniversity of TorontoVerified email at mie.utoronto.ca
Yingcong TanIBS softwareVerified email at ibsplc.com
Andrew DelongAssistant Professor (former), Concordia UniversityVerified email at concordia.ca
Kenneth N. BrownInsight Centre for Data Analytics, School of Computer Science and IT, University College CorkVerified email at cs.ucc.ie
Rafid MahmoodUniversity of Ottawa, NVIDIAVerified email at mail.utoronto.ca
Aaron BabierServiceNowVerified email at servicenow.com
Kimia GhobadiJohns Hopkins UniversityVerified email at jhu.edu
Houra MahmoudzadehUniversity of WaterlooVerified email at uwaterloo.ca
Ulas OzenAssociate Professor of Supply Chain Management, EM Normandie Business School - DubaiVerified email at em-normandie.fr
Onur KuzgunkayaConcordia University, Mechanical and Industrial EngineeringVerified email at encs.concordia.ca
Navneet VidyarthiJohn Molson School of Business, Concordia UniversityVerified email at concordia.ca
Daniel M. FrancesProfessor, Teaching Stream, University of TorontoVerified email at mie.utoronto.ca
Stephanie AllenAMSC UMD, College Park Ph.D.Verified email at umd.edu
Steven A. GabrielUniversity of Maryland, Norwegian University of Science and Technology, Aalto UniversityVerified email at umd.edu
Maryam HemmatiMaster Student in Industrial Engineering, Concordia University

Daria Terekhov

Former Associate Professor (resigned), Industrial Engineering, Concordia University

Verified email at concordia.ca - Homepage

Operations Research Scheduling Queueing Theory Inverse Optimization Machine Learning


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Inverse optimization: Closed-form solutions, geometry, and goodness of fit TCY Chan, T Lee, D Terekhov Management Science 65 (3), 1115-1135, 2019	85	2019
Robust inverse optimization K Ghobadi, T Lee, H Mahmoudzadeh, D Terekhov Operations Research Letters 46 (3), 339-344, 2018	37	2018
Queueing-theoretic approaches for dynamic scheduling: A survey D Terekhov, DG Down, JC Beck Surveys in Operations Research and Management Science 19 (2), 105-129, 2014	34	2014
Integrating queueing theory and scheduling for dynamic scheduling problems D Terekhov, TT Tran, DG Down, JC Beck Journal of Artificial Intelligence Research 50, 535-572, 2014	31	2014
An ensemble learning framework for model fitting and evaluation in inverse linear optimization A Babier, TCY Chan, T Lee, R Mahmood, D Terekhov Informs Journal on Optimization, ijoo. 2019.0045, 2021	28	2021
Solving two-machine assembly scheduling problems with inventory constraints D Terekhov, MK Doğru, U Özen, JC Beck Computers & Industrial Engineering 63 (1), 120-134, 2012	28	2012
An extended queueing control model for facilities with front room and back room operations and mixed-skilled workers D Terekhov, JC Beck European Journal of Operational Research 198 (1), 223-231, 2009	27	2009
A constraint programming approach for solving a queueing design and control problem D Terekhov, JC Beck, KN Brown INFORMS Journal on Computing 21 (4), 549-561, 2009	26	2009
Learning linear programs from optimal decisions Y Tan, D Terekhov, A Delong Advances in Neural Information Processing Systems 33, 2020	23	2020
A robust optimization model for tactical capacity planning in an outpatient setting N Aslani, O Kuzgunkaya, N Vidyarthi, D Terekhov Health Care Management Science 24, 26-40, 2021	21	2021
Deep inverse optimization Y Tan, A Delong, D Terekhov International Conference on Integration of Constraint Programming …, 2019	21	2019
Solving a stochastic queueing design and control problem with constraint programming D Terekhov, JC Beck, KN Brown PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 22 (1), 261, 2007	17	2007
Long-run stability in dynamic scheduling D Terekhov, T Tran, D Down, JC Beck Proceedings of the International Conference on Automated Planning and …, 2012	12	2012
A constraint programming approach for solving a queueing control problem D Terekhov, JC Beck Journal of Artificial Intelligence Research 32, 123-167, 2008	12	2008
Investigating two-machine dynamic flow shops based on queueing and scheduling D Terekhov, TT Tran, JC Beck Proceedings of ICAPS’10 Workshop on Planning and Scheduling Under Uncertainty, 2010	9	2010
Comparing Inverse Optimization and Machine Learning Methods for Imputing a Convex Objective Function EH Iraj, D Terekhov arXiv preprint arXiv:2102.10742, 2021	7	2021
Inverse integer optimization with an imperfect observation M Moghaddass, D Terekhov Operations Research Letters 48 (6), 763-769, 2020	6	2020
A Case-Based Undergraduate Operations Research Course DM Frances, D Terekhov INFORMS Transactions on Education 19 (2), 67-80, 2019	6	2019
Logic-based Benders decomposition for two-stage flexible flow shop scheduling with unrelated parallel machines Y Tan, D Terekhov Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018	6	2018
Hybrid queueing theory and scheduling models for dynamic environments with sequence-dependent setup times TT Tran, D Terekhov, DG Down, JC Beck Twenty-Third International Conference on Automated Planning and Scheduling, 2013	6	2013

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