New venture creation and technology commercialization; financial modeing and valuation of startup companies; corporate management and finance.
Modeling physiological systems: experiments and modeling analysis of the human arm, head and eye movement systems, with applications to clinical medicine and the science of baseball. Knowledge engineering: computer techniques for verifying and validating decision support systems. Systems engineering: system design, quality function deployment (QFD), concurrent engineering, design for manufacturability, sensitivity analyses discovering requirements, etc.
CRC Press Series in Systems Engineering
Economic analysis, financial strategies, retirement strategies, estate protection, cash flow analysis, and comparison of economic alternatives.
Human factors, ergonomics, systems safety, and productivity improvement issues.
Mathematically modeling and optimizing systems under uncertainty, especially using stochastic programming. It includes theory and algorithms for stochastic programming using Monte Carlo sampling-based methods, simulation-based optimization and computational enhancements to stochastic programming algorithms such as parallel computing. Other research interests involve applications arising in transportation, supply chain management, and revenue management.
Application of Bayesian decision theory in statistical quality control, and application of Bayesian decision theory in reliability testing, reliability growth modeling, reliability systems analysis. Large scale availability systems analysis.
IEEE Transactions on Reliability;
Past Guest Editor,IIE Transactions Issue on Quality and Reliability
Combinatorial and information systems; applied combinatorial optimization in transportation, logistics and manufacturing; agent-based systems and distributed solutions for information and operations management, cooperative game theory and cost allocation in inventory.
IIE Transactions on Operations Engineering;
Editorial Board,Computers & Operations Research and Foundations of Computing and Decision Sciences
Systems modeling: fuzzy set and stochastic models and modern system theory; applications to rainfall, runoff, water quality problems (sediments, eutrophication), short-term and long-term forecasting of floods, drought, water demand; also, to the design of knowledge bases under uncertainty. Managerial problems: regional multiobjective analysis; design of water and natural resource systems; decision-making under uncertainty; multi-criterion decision problems; multiattribute utility; fuzzy and bayesian approaches to design reliability and risk; forecasting-response systems.
Revue intermationale des sciences de l'eau, Applied Mathematics and Computation, Group Decision and Negotiation
Modeling and measuring human performance in information processing tasks such as probability assessment, decision-making, diagnosis, and inspection; design of methods and systems to augment human performance as in expert systems and responsive computer interfaces.
Departmental Editor for judgmental and probabilistic methods
Editorial Board Member,Journal of Behavioral Decision Making
Applied optimization modeling and solution. Examples include designing standard modules for use in many end products, determining optimal or near-optimal base locations for emergency vehicles, and determining cost effective low variance process designs.
Engineering Education
System design and architecture, algorithms for estimation, control, and optimization, embedded systems with applications to real-time traffic signal control and transportation management systems.
Transportation Research Part C: Emerging Technologies;
Chairman, Transportation Research Board Traffic Signal Systems Committee (AHB25)Integer programming and computational optimization. Applications in logistics, supply chain management and communications network design.
Mathematical programming, numerical optimization, continuous approximation methods, and model based simulation. Specific applications include 1) planning, design, and operations of intelligent transportation systems; 2) logistics systems and supply chain management; and 3) analysis of traffic dynamics.
Transportation Research
Representing the essential aspects of concrete problems as (usually, but not always, mathematical) objects and using those objects to improve decsion-making; making decisions here and now which take into account: uncertainty about the future; and future opportunities to review policies; developing algorithms that combine the right amount of mathematical theory and brute force to take advantage of modern computing architectures
Effective strategies for problem solution. Computer programming approaches that lead to robust, easily maintained and modified program code. Intuitive user interface design in software. Intelligent transportation system methodologies.
Models and algorithms for: (1) optimization, (2) control of stochastic systems, and (3) logistics, routing, location and scheduling. Applications in: (1) transportation and traffic, (2) integrated manufacturing, and (3) telecommunications.
Mathematics of Industrial Systems
Numerical methods in probability and stochastic models, stochastic processes, in particular the theory of Markov renewal processes, queuing systems and biomedical applications, modeling of communication and data processing systems.
Journal of Applied Probability and The Advances in Applied Probability;
Coordinating Editor,Stochastic Models
Engineering statistics, experiment design, quality engineering, robust design, total quality and digital computer simulation, including methodologies for quality planning, improvement and control. Application to semiconductor manufacturing and computer simulation modeling.
Journal of Quality Technology and International Journal of Reliability, Quality and Safety Engineering
The use of control theory and optimization for the solution of practical engineering problems. Applications include a variety of areas, such as the crushing of ore, the optimal control of insects in cotton, the prediction of engineering manpower requirements, and the on-line digital control of nuclear rocket engineers. The underlying factors common to all of those areas are the need for mathematical modeling and the desire to optimize a quantitative performance index.
Mathematical programming theory: large scale and stochastic programming, nonlinear and disjunctive programming. Applied mathematical modeling: production planning, telecommunications, power systems and traffic networks.
Informs Journal in Computing and Journal of Telecommunications Systems;
Area Editor (Optimization),Operations Research
Shop floor control: intelligent control system performing decision-making and execution. Modeling manufacturing systems: simulation, finite state automata, petri-net, IDEF series, UML, EXPRESS, object oriented design. Design and development of virtual enterprises and supply chain: distributed simulation. Internet-based manufacturing: intelligent planning and control systems operated in the internet environment.
International Journal of Modeling and Simulation
Numerical methods, game theory, systems theory, dynamical economic systems, multiobjective programming, modeling industrial processes and natural resources.
Pure Mathematics and Application and Southwest Journal of Pure and Applied Mathematics
Mathematical theory of intelligent machines: non-monotonic deduction and knowledge-base; fuzzy logic, neural nets, and distributed learning; coordination and task plan translation; complexity and reliability analysis. Robotics and Automation: dynamics, control, and computer vision; space robotics and structures. Manufacturing systems: specification, design, control synthesis, and evaluation of CIM systems; discrete event dynamic systems with applications in CIMs.
International Journal of Intelligent Control Systems;
Editor-in-Charge,Series in Intelligent Control of Intelligent Automation
Mathematical system theory and its applications to system design methodology. Application of system design methodology to the design of large-scale, complex, man/machine/software systems in several areas; social service systems, communication systems, transportation systems, weapons systems, industrial systems, agricultural production systems and information systems.
© 2006. Department of Systems & Industrial Engineering.
College of Engineering, University of Arizona
1127 E. James E. Rogers Way, Engineering Building #20
PO Box 210020 · Tucson, AZ · 85721-0020
Phone: 520.621.6551
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