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Itai Gurvich


Professor, Cornell School of Operations Research and Information Engineering and Cornell Tech

Email: gurvich@cornell.edu

My vita













Applied Probability and Queues

1.       S. Singh, I Gurvich and J.A. Van Mieghem. Feature-based design of priority queues: Digital triage in healthcare

2.       A. Vero, A. Arlotto, I. Gurvich and E. Levin. Dynamic resource allocation: The geometry and robustness of constant regret.

3.       A. Zhang, I. Gurvich. Low-rank MDP Approximation via Moment Coupling.

4.       S. Banerjee, I. Gurvich and A. Vera. Online optimization with samples.

5.       A. Vera, S. Banerjee and I. Gurvich. Online Allocation and Pricing: Constant Regret via Bellman Inequalities. Operations Research. Forthcoming

6.       A. Arlotto and I. Gurvich. Uniformly Bounded Regret in the Multi-Secretary Problem. Stochastic Systems 9(3):231-260.

7.       A. Braverman and I. Gurvich and J. Huang. On the Taylor Expansion of Value Functions. Operations Research. Forthcoming.

8.       S-B. Soh and I. Gurvich. Duality in staffing problems: Between holding costs and waiting constraints. (Under revision)

9.       J. Huang and I. Gurvich. Beyond heavy-traffic regimes: Universal bounds and controls for the single-server queue. Operations Research 66(4), 1168-1188.

10.   I. Gurvich, M. Lariviere and C. Ozkan. Coverage, coarseness and classification: Determinants of social efficiency in priority queues. Management Science 65(3):955—1453.

11.   I. Gurvich and J.A. Van Mieghem. Collaboration and multitasking in networks: Prioritization and achievable capacity. Management Science 64(5), 2390-2406.

12.   S-B.  Soh and I. Gurvich. Call center staffing: Service-level constraints and index priorities (2016).  Operations Research 65(2), 537-555.

13.   J. Zhang, E. Park, I. Gurvich, J.A Van Mieghem, R.S. Young, and M.V. Williams (2016). Hospital readmission reduction program: An economic and operational analysis. Management Science, 62(11), 3351–3371

14.   I. Gurvich and A. Ward (2014). On the dynamic control of matching queues. Stochastic Systems, 4, 1-45.

15.   I. Gurvich and J.A. Van Mieghem (2014). Collaboration and multitasking in networks: Architectures, bottlenecks and throughput. Manufacturing & Service Operations Management, 17(1), 16-33.

16.   I. Gurvich (2014). Diffusion models and steady-state approximations for exponentially ergodic Markovian queues. Annals of Applied Probability, 24(6), 2527-2559.

17.   I. Gurvich, J. Huang, and A. Mandelbaum (2014). Excursion-based universal approximations for the Erlang-A queue in steady-state. Mathematics of Operations Research, 39(2), 325-373.

18.   R. Atar and I. Gurvich (2014). Scheduling parallel servers in the non-degenerate slowdown diffusion regime: Asymptotic optimality results. Annals of Applied Probability, 24(2), 760-810.

19.   I. Gurvich (2013). Validity of heavy-traffic steady-state approximations in multiclass queueing networks: The case of queue-ratio disciplines. Mathematics of Operations Research, 39(1), 121-162.

20.   B. Ata and I. Gurvich (2012). On optimality gaps in the Halfin-Whitt regime. Annals of Applied Probability, 22(1), 407—455.

21.   I. Gurvich and O. Perry (2011). Overflow networks: approximations and implications to call center outsourcing. Operations Research, 60(4), 996—1009.

22.   G. Allon, A. Bassamboo, and I. Gurvich (2011). “We will be right with you”: Managing customers with vague promises and cheap talk. Operations Research, 59(6), 1382—1394

23.   I. Gurvich and W. Whitt (2010). Service-level differentiation in many-server service systems via queue-ratio routing. Operations Research, 58(2), 316—328.

24.   I. Gurvich, J. Luedtke, and T. Tezcan (2010). Staffing call centers with uncertain demand forecasts: A chance-constrained optimization approach. Management Science, 56(7), 1093—1115.

25.   M. Armony and I. Gurvich (2010). When promotions meet operations: Cross selling and its effect on call-center performance. Manufacturing & Service Operations Management 12(3), 470—488.

26.   G. Allon and I. Gurvich (2010). Pricing and dimensioning competing large-scale service providers. Manufacturing & Service Operations Management, 12(3), 449—469,

27.   I. Gurvich and W. Whitt (2009). Scheduling flexible servers with convex delay costs in many-server service systems. Manufacturing & Service Operations Management, 11(2), 237—253.

28.   I. Gurvich and W. Whitt (2009). Queue-and-idleness-ratio controls in many-server service systems. Mathematics of Operations Research, 34(2), 363—396.

29.   I. Gurvich, M. Armony, and C. Maglaras (2009). Cross-selling in a call center with a heterogeneous customer population. Operations Research, 57(2), 299—313.

30.  I. Gurvich, M. Armony, and A. Mandelbaum (2008). Service level differentiation in call centers with fully flexible servers. Management Science, 54(2), 279—294.

Healthcare Operations

31.   B. Grant, I. Gurvich, R. K. Mutharasan and J. A. Van Mieghem. Optimal Dynamic Appointment Scheduling of Base and Surge Capacity. Manufacturing & Service Operations Management. Forthcoming.

32.   R. K. Mutharasan, F. S. Ahmad, I. Gurvich, H. Alphs Jackson, J. A. Van Mieghem, C. W. Yancy. Buffer or Suffer: Redesigning Heart Failure Discharge Clinic Using Queuing Theory. Circulation: Cardiovascular Quality and Outcomes 11(7).

33.   I. Gurvich, J. A. Van Mieghem, L. Wang, and N. D. Soulakis.  Digital and Physical Team Interaction: How Team Size and Stability Determine Individual Productivity. Journal of Case Reports and Studies 5(6):606, 2017.

34.   L. Wang, I. Gurvich, and J. A. van Mieghem. Collaboration, Interruptions and Changeover Times: Workflow Model and Empirical Study of Hospitalist Charting. Manufacturing & Service Operations Management. Forthcoming.

35.  Wang et. al.  Resident Supervision and Patient Care: A Comparative Time Study in a CommunityAcademic Versus a Community Emergency Department. Academic Emergency Medicine Education and Training 3(4):308-316.

36.   J. Zhang, E. Park, I. Gurvich, J.A Van Mieghem, R.S. Young, and M.V. Williams (2016). Hospital readmission reduction program: An economic and operational analysis. Management Science, 62(11), 3351–3371. (The paper won the 2014 best paper award of the POMS college of healthcare operations management)

37.   S. Deo and I. Gurvich (2011). Centralized vs. decentralized ambulance diversion: A network perspective. Management Science, 57(3), 1300—1319.

Other Publications

38.   Yue Yin, Itai Gurvich, Jan A. Van Mieghem, Stephanie McReynolds and Debora Seys (2018)." Learning by Doing versus Learning by Viewing: An Empirical Study of Data Analyst Productivity on a Collaborative Platform. The 21st ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW).

39.   Itai Gurvich, Martin Lariviere and Antonio Moreno-Garcia (2017). Operations in the On-Demand Economy: Staffing Services with Self-Scheduling. Sharing Economy: Making Supply Meet Demand, Ming Hu (ed), Springer Series in Supply Chain Management, 2018.

Advised Students

Eric Park. 2014. Assistant Professor at the Faculty of Business and Economics, University of Hong Kong

Seung Bum Soh. 2014. Assistant Professor at Yonsei University, Seoul

Lu Wang (co-advised with Jan Van Mieghem). 2016. McKinsey & Company, Chicago

Dissertation committee member for Seyed Emadi. 2013. Assistant Professor at Kenan-Flagler Business School, University of North Carolina at Chapel Hill.

Dissertation committee member for Jiajun (Dennis) Zhang. 2016. Assistant Professor at the Olin School of Business, Washington University of St. Louis

Can Ozkan. 2017. The Gap, San Francisco.  (co-advised with Martin Lariviere and Antonio Moreno-Garcia)

Benjamin Grant (5th year PhD student at Northwestern). Co-advised with Jan Van Mieghem.

Yue Yin (5th year PhD student at Northwestern). Co-advised with Jan Van Mieghem.

Bing-Zhen Zhang (3rd  year PhD student at Cornell ORIE). Co-advised with Huseyin Topaloglu

Alberto Vera (4th year PhD student at Cornell ORIE). Co-advised with Sid Banerjee

Haici Tan (2nd year PhD student at Cornell ORIE). Co-advised with Shane Henderson

Current Teaching (Cornell Tech’s Master of Engineering in Operations Research)

Services and Online Markets (ORIE 5132).

This is a course in development. I am happy to share all material of this course (and have other people test and validate it).

Modeling under uncertainty (ORIE 5130)

            This course is taught this coming fall. See here for the canvas syllabus


Previous Teaching (at the Kellogg School of Management)

Operations Management (MBA core class)

Service Operations (MBA elective)

Stochastic Foundations (PhD core class)

Fundamentals of Stochastic networks (PhD elective)


Important links:

Stochastic Network Conference (June 2020, Ithaca)