Degrees

Ph.D. Operations Research (Stochastics). School of Industrial and Systems Engineering, Georgia Institute of Technology, September 1998.
M.S. Operations Research. School of Industrial and Systems Engineering, Georgia Institute of Technology, Spring 1995.
B.S. Systems Science and Mathematics. Washington University, St. Louis. Spring 1991.

Research/Teaching Interests

Dr. Hasenbein's specialty is Operations Research with a focus on stochastic models. His current research interests involve scheduling and analysis of queueing networks that arise from manufacturing and communication models. In particular, he is interested in fluid and diffusion approximations to such networks, and stability analysis of these models. He is currently also doing some work in the area of large deviations. In 2002 Dr. Hasenbein received a CAREER award from the National Science Foundation (NSF) for a project entitled "Scheduling of Multiclass Queueing Networks via Fluid Models."

1. Stochastic fluid networks and stochastic programming.
2. Fluid holding cost algorithms, linear and nonlinear approximations.
3. Game-theoretic queueing models and pricing.
4. Scheduling multiclass networks and jobshops via fluid approximations.
5. Stability of multiclass fluid and queueing networks.
6. Scheduling and analyis of semiconductor wafer fabs, scheduling with disruption management, robust scheduling.
7. Queueing systems with wait-dependent service times, stability and optimal policies.
8. Large deviations of reflected Brownian motion, associated variational problems.
9. Diffusion approximations to queueing networks.

Courses Taught:

1. ME 335 Probability and Statistics for Engineers
2. ORI 390R.1 Applied Probability
3. ORI 390R.4 Applied Stochastic Processes
4. ORI 390R.8 Queueing Theory
5. ME 366L Operations Research Models

Publications

Journal Articles:

1. B. Buke, J. J. Hasenbein, and D. P. Morton, "The Stochastic Makespan Problem," Submitted to Operations Research, October 2005.
2. U. Yildirim and J. J. Hasenbein, "The Finite Decomposition Property in Fluid Networks," Submitted to Queueing Systems, June 2005.
3. N. Smith, D. Garza, and J. J. Hasenbein, "Strategic Level Models for Co-Supplier Evaluation Considering Delivery Interaction Effects, Quality Levels, and Disaster Distributions," Submitted to International Journal of Production Research, 2005.
4. D. Gamarnik and J. J. Hasenbein, "Instability in Stochastic and Fluid Queueing Networks," Annals of Applied Probability, Vol. 15, pp. 1652-1690 (2005).
5. J. Zogbhy, J.W. Barnes, and J.J. Hasenbein, "Modeling the Reentrant Job Shop Scheduling Problem with Setups for Metaheuristic Searches," European Journal of Operational Research, Vol. 167, pp. 336-348 (2005).
6. J. J. Hasenbein, S. Sigireddy, and R. Wright, "Taking a Queue from Simulation," Industrial Engineer, Vol. 36, No. 8, pp. 39-43 (2004).
7. J. G. Dai, J. J. Hasenbein, and J. H. Vande Vate, "Stability and Instability of a Two-Station Queueing Network," Annals of Applied Probability, Vol. 14, No. 1, pp. 326-377 (2004).
8. J. J. Hasenbein, "Stability of Fluid Networks with Proportional Routing," Queueing Systems, Vol 38, pp. 327-354 (2001).
9. F. Avram, J. G. Dai and J. J. Hasenbein, "Explicit Solutions for Variational Problems in the Quadrant," Queueing Systems, Vol 37, pp. 259-289 (2001).
10. J. G. Dai, J. J. Hasenbein and J. H. Vande Vate, "Stability of a Three-Station Fluid Network," Queueing Systems, Vol 33, pp. 293-325 (1999).
11. J. J. Hasenbein, "Necessary Conditions for Global Stability of Multiclass Queueing Networks," Operations Research Letters, Vol 21, pp. 87-94 (1997).
12. J. W. Clark, S. Gazula, K. A. Gernoth, J. Hasenbein, J. Prater, and H. Bohr, "Collective computation of many-body properties by neural networks," Recent Progress in Many-Body Theories, Vol. 3, T. L. Ainsworth, C. E. Campbell, B. E. Clements, and E. Krotscheck, eds. (Plenum, New York, 1992), pp. 371-386.

 

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