Students pursuing a doctoral degree or a master's degree with financial support from The University must meet the OR/IE Area Research Requirements. Both master's and doctoral students are expected to establish a relationship with a OR/IE Area Faculty member for supervision of their research within their first semester in the graduate program.

The Mechanical Engineering Department provides the OR/IE Area with an abundance of Research Resources and Research Facilities. The Department, along with the entire Cockrell School of Engineering and the University of Texas at Austin are recognized as premier research institutions in the world. The cornerstone of our Department is the excellent research talent marshalled here.

Our primary facilities are located on campus in the ten-story Engineering Teaching Center II and on the J.J. Pickle Research Campus. These resources offer everything from wood shops to electron micropes, and microcomputers to an active teaching nuclear reactor.

 

OR/IE AND AFFILIATED RESEARCH GROUPS

ADVANCED MANUFACTURING CENTER (AMC): The Advanced Manufacturing Center (AMC) at The University of Texas at Austin, created to lead innovation and education in key sectors of manufacturing, spans many university disciplines and draws from the expertise of industry and academic leaders. Technical focus areas include semiconductor manufacturing, advanced materials processing, micro- and nano-scale manufacturing, physics-based modeling and control, small-lot and adroit manufacturing technologies and rapid manufacturing. The work within the center also includes policy, operations and management. Within this arena, AMC's mission is education, collaborative research and service to the manufacturing community.

BARD RESEARCH GROUP: Dr. Bard's research centers on the development of efficient algorithms and computational methods for solving large scale optimization problems. Areas of application include scheduling and logistics in manufacturing and reactive planning in the transportation sector. He is also doing fundamental work on generic problems associated with vehicle routing and machine scheduling. Recent projects include the design of joint production / inventory / distribution systems and personnel planning and scheduling in the service industry with a focus on health care workers.

BARNES RESEARCH GROUP: Dr. Barnes' Research Group is primarily interested in Landscape theory in optimization; Group theoretic meaheuristic search; Heuristic methods of combinatorial optimization applied to military logistics problems, manufacturing engineering problems and species conservation; and Applied probability & statistics.

HASENBEIN RESEARCH GROUP: Dr. Hasenbein's Research is primarily interested in Stochastic fluid networks and stochastic programming; Fluid holding cost algorithms, linear and nonlinear approximations; Game-theoretic queueing models and pricing; Scheduling multiclass networks and jobshops via fluid approximations; Stability of multiclass fluid and queueing networks; Scheduling and analyis of semiconductor wafer fabs, scheduling with disruption management, robust scheduling; Queueing systems with wait-dependent service times, stability and optimal policies; Large deviations of reflected Brownian motion, associated variational problems; and Diffusion approximations to queueing networks.

KUTANOGLU RESEARCH GROUP: Dr. Kutanoglu's Research can be roughly categorized as Applied Operations Research (method-wise) and Manufacturing and Service Logistics / Supply Chain Management (application-wise). Under this general heading, I conduct research in all stages of manufacturing and service logistics decision-making process: Network Design - Inventory Management - Manufacturing Planning and Scheduling - Distribution.

MORTON RESEARCH GROUP: Dr. Morton's Research concerns developing models, algorithms and theory for stochastic optimization. His research emphases computational issues, and he has interest in developing approximations for stochastic programs, where the quality of the approximation can be quantified. His applications work arises in a variety of areas from thwarting nuclear smugglers to risk management in electric power generation to portfolio optimization.

POPOVA RESEARCH GROUP: Dr. Popova's main areas of interest and active research include Risk Management for electric power generation; Quantitative finance; and Energy pricing and load forecast.

 

Operations Research / Industrial Engineering | Mechanical Engineering | Cockrell School of Engineering | The University of Texas at Austin
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