Photo of Guodong (Gordon) Pang

Guodong (Gordon) Pang

Associate Professor


  • Industrial and Manufacturing Engineering

363 Leonhard Building


Personal or Departmental Website

Research Areas:

Operations Research; Operations, Services, and Analytics

Interest Areas:

Applied Probability, Stochastic Modeling, Stochastic Control, Stochastic Networks, Queueing Systems, Operations Management, Large-Scale Service Systems, Financial Engineering (Econometrics), Risk Theory, Game Theory, Numerical Methods and Simulation




  • Ph D, Operations Research, Columbia University, 2010


Book, Chapters

  • W. Kang and G. Pang, 2019, Equivalence of fluid models for G_t/GI/N+GI queues, pp. 38
  • A. Arapostathis, H. Hmedi, G. Pang and N. Sandric, 2019, Uniform polynomial rates of convergence for a class of Levy-driven controlled SDEs arising in multiclass many-server queues

Journal Articles

  • A. Arapostathis, L. Caffarelli, G. Pang and Y. Zheng, 2019, "Ergodic control of a class of jump diffusions with finite Levy measures and rough kernels", SIAM Journal of Control and Optimization, 52, (2)
  • Guodong Pang and Murad Taqqu, 2019, "Non-stationary self-similar Gaussian processes as scaling limits of power-law shot noise processes and generalizations of fractional Brownian motion", High Frequency. (Special issue in honor of Larry Shepp), 2, (2)
  • A. Arapostathis, A. Das, G. Pang and Y. Zheng, 2019, "Optimal control of Markov-modulated multiclass many-server queues", Stochastic Systems, 9, (2)
  • A. Arapostathis, G. Pang and N. Sandric, 2019, "Ergodicity of Levy-driven SDEs arising from multiclass many-server queues", Annals of Applied Probability, 29, (2)
  • A. Arapostathis and G. Pang, 2019, "Infinite horizon asymptotic average optimality for large-scale parallel server networks", Stochastic Processes and their Applications, 129, (1)
  • A. Arapostathis and G. Pang, 2018, "Infinite horizon average optimality of the N-network queueing model in the Halfin-Whitt regime", Mathematics of Operations Research
  • G. Pang and Y. Zhou, 2018, "Two-parameter process limits for infinite server queue with dependent service times via chaining bounds", Queueing Systems, 88, (1-2)
  • G. Pang and Y. Zhou, 2018, "Functional limit theorems for a new class of non-stationary shot noise processes", Stochastic Processes and their Applications, 128, (2)
  • G. Pang and Y. Zheng, 2017, "Functional and local limit theorems for Markov-modulated compound Poisson processes", Statistics and Probability Letters, 129
  • G. Pang, Y. Zhou and Jiankui Yang, 2017, "On functional limit theorems for alternating renewal processes", Operations Research Letters, 45, (2), pp. 145-150
  • G. Pang and Y. Zhou, 2017, "Two-parameter process limits for an infinite server queue with arrival dependent services", Stochastic Processes and their Applications, 127, (5), pp. 3110-3153
  • H Lu and Guodong Pang, 2017, "Heavy-traffic limits for an infinite-server fork-join queueing system with dependent and disruptive services", Queueing Systems, 85, (1), pp. 67-115
  • G. Pang and A. L. Stolyar, 2016, "A service system with on-demand agent invitations", Queueing Systems, 82, (3)
  • H. Lu, G. Pang and M. Mandjes, 2016, "A functional central limit theorem for Markov additive arrival processes and its applications in queueing systems", 84, (3)
  • G Pang and N Sandric, 2016, "Ergodicity and fluctuations of a fluid particle driven by diffusions with jumps", Communications in Mathematical Sciences, 14, (2)
  • H. Lu and G. Pang, 2016, "Heavy-traffic limits for a fork-join network in the Halfin-Whitt regime", Stochastic Systems, 6
  • Guodong Pang and Y Zhou, 2016, "G/G/infinity queues with renewal alternating service interruptions", Advances in Applied Probability, 48, (3)
  • H. Lu, G. Pang and Y. Zhou, 2016, "G/GI/N(+GI) queues with service interruptions in the Halfin-Whitt regime", Mathematical Methods of Operations Research, 83, (1)
  • A. Arapostathis and G. Pang, 2016, "Ergodic diffusion control of multiclass multi-pool networks in the Halfin-Whitt regime", Annals of Applied Probability, 26, (5)
  • A. Arapostathis, A. Biswas and G. Pang, 2015, "Ergodic control of multi-class M/M/N+M queues in the Halfin-Whitt regime: asymptotic convergence results", Annals of Applied Probability, 25, (6), pp. 3511-3570
  • H. Lu and G. Pang, 2015, "Gaussian Limits for a fork-join network with non-exchangeable synchronization in heavy traffic", Mathematics of Operations Research, 41, (2)
  • G. Pang and O. Perry, 2014, "A logarithmic safety staffing rule for contact centers with service blending", Management Science, 61, (1), pp. 73-91
  • G. Pang and D. D. Yao, 2013, "Heavy-traffic limits for a multiclass many-server queueing network with switchovers", Advances in Applied Probability, 45, (3), pp. 645-672
  • G. Pang and W. Whitt, 2013, "Heavy-traffic limits for infinite-server queues with dependent service times", Queueing Systems, 73, pp. 119-146
  • G. Pang and W. Whitt, 2012, "On infinite-server queues with batch arrivals and dependent service times", Probability in Engineering and Informational Sciences, 26, pp. 197-220
  • G. Pang and W. Whitt, 2012, "The impact of dependent service times on large-scale service systems", Manufacturing & Service Operations Management, 14, (2), pp. 262-278
  • G. Pang and W. Whitt, 2010, "Continuity of a queueing integral representation in the M1 topology", Annals of Applied Probability, 20, (1), pp. 214-237
  • G. Pang and W. Whitt, 2010, "Two-parameter heavy-traffic limits for infinite-server queues", Queueing Systems, 65, pp. 325-364
  • G. Pang and V. de la Pena, 2009, "Exponential inequalities for self-normalized processes with applications", Electronic Communications in Probability, 14, pp. 372-381
  • G. Pang and W. Whitt, 2009, "Heavy-traffic extreme value limits for Erlang models", Queueing Systems:Special Issue: 100 Years of Queueing - The Erlang Centennial, 63, pp. 13-32
  • G. Pang and W. Whitt, 2009, "Heavy-traffic limits for many-server queues with service interruptions", Queueing Systems, 61, pp. 167-202
  • G. Pang and W. Whitt, 2009, "Service interruptions in large-scale service systems", Management Science, 55, (9), pp. 1499-1512
  • G. Pang and M. V. Day, 2007, "Fluid limits of optimally controlled queueing networks", Journal of Applied Mathematics and Stochastic Analysis
  • G. Pang, R. Talreja and W. Whitt, 2007, "Martingale proofs of many-server heavy-traffic limits for Markovian queues", Probability Surveys, 4, pp. 193-267
  • Guodong Pang, Andrey Sarantsev, Yuri Suhov and Yana Belopolskaya, , "Stationary distributions and convergence for M/M/1 queues in interactive random environment", Queueing Systems
  • G. Pang and Y. Zhou, , "Functional limit theorems for shot noise processes with weakly dependent noises"

Conference Proceedings

  • A Arapostathis, A Biswas and G Pang, 2015, "Optimal scheduling of a large-scale multiclass parallel server system with ergodic cost", 2015 IEEE Conference on Computer Communications (INFOCOM), pp. 954-962
  • G Kesidis and G Pang, 2014, "Tit-for-tat capacity allocation for distributed delay management in peer-to-peer networks"
  • B. Zhang, G. Pang and B. Zwart, 2014, "Refining piecewise stationary approximation for a Markov-regulated fluid queue", The 32nd International Symposium on Computer Performance, Modeling, Measurements and Evaluation. ACM SIGMETRICS, 42, (2)
  • H. Lu, G. Pang and G. Kesidis, 2013, "Automated scheduling of deferrable PEV/PHEV load by power-profile unevenness", IEEE International Conference on Smart Grid Communications, Vancouver, Canada
  • W. Kang, H. Lu and G. Pang, 2013, "Fluid approximations of many-server queues with delayed feedback and heterogeneous service and patience times", Workshop on Mathematical performance Modeling and Analysis (MAMA) in conjunction with ACM Sigmetrics, 41, (3), pp. 46-48
  • G. Pang, G. Kesidis and T. Konstantopoulos, 2012, "Avoiding overages by deferred aggregate demand for PEV charging on the smart grid", IEEE ICC 2012 Selected Areas in Communications Symposium: Smart Grids
  • A. Kurve, Guodong Pang, G. Kesidis and G. de Veciana, 2012, "Decentralized capacity reallocation for a loss network", IEEE 46th Annual Conference on Information Science

Research Projects

Honors and Awards


Service to Penn State:

Service to External Organizations:




Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745