Wright State University
2011-12
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Graduate Programs

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Industrial and Human Factors Engineering

Introduction

The Department of Biomedical, Industrial, and Human Factors Engineering offers a program of graduate study leading to a Master of Science in Engineering (M.S.E.) degree with a major in industrial and human factors engineering. The M.S.E. program is broad in scope and emphasizes portable concepts in the design and analysis of complex physical systems using modeling, synthesis, and optimization techniques, and bridges interdisciplinary engineering areas such as controls, robotics, electronics, and communications. The M.S.E. in Human Factors Engineering can also be obtained through E*Course classes. Additional information for the E*Course program can be found at www.cs.wright.edu/bie/dl.
A Ph.D. in engineering with an emphasis in the human factors engineering area is also available. For details, see Engineering Ph.D. program.

Admission

To be considered for admission to the M.S.E.-Industrial and Human Factors Engineering program, students must first satisfy basic requirements of the Graduate School. This includes having a bachelor’s degree in engineering or a related area with an overall undergraduate grade point average of at least 2.7 (on a 4.0 scale) or an overall undergraduate grade point average of
at least 2.5 with an average of 3.0 or better for the last 90 quarter hours (60 semester hours) earned toward the undergraduate degree. International students must have a TOEFL score of at least 550/213 or an IELTS score of at least six. In addition, the program requires students from non-ABET accredited undergraduate programs to submit general GRE test scores. Program admission decisions are based on complete application information including overall academic performance and standardized test scores where applicable.

Collaboration

The Dayton Area Graduate Studies Institute provides collaboration opportunities through the graduate engineering courses, faculty, and research resources of the Air Force Institute of Technology, the University of Dayton, The Ohio State University, and the University of Cincinnati.

Degree Requirements

Students should plan a program of study in consultation with a faculty advisor. The program of study should be finalized by the time the student completes 12 credit hours of graduate study.

The following requirements must be met for the Master of Science in Engineering degree:

1. Completion of 45 graduate credit hours in courses that have prior approval by a BIE graduate advisor.

2. At least 36 of the total 45 graduate credit hours must be engineering or computer engineering courses. At least 24 of these must be human factors engineering courses.

3. At least 24 of the 45 graduate credit hours must be courses numbered 700 or above.

4. At least 6 of the total 45 graduate credit hours must be courses in mathematics, statistics, or computer science.

5. Students may choose either a thesis option or a 45 credit
hours graduate advanced course work option. The thesis option consists of a research project satisfying all requirements of the Graduate School. The final report (thesis) must be completed and successfully defended in an oral examination before the major committee. Up to 12 credit hours of 899, Thesis, may count toward degree requirement of 45 graduate credit hours.

Facilities

Graduate students have access to a wide range of computer systems interconnected by local and wide-area networks. Access is available to three DEC Alpha AXP 4000/610’s; numerous Sun, DEC, and Silicon Graphics fileservers and workstations; X-windowing terminals; and personal computers. Access is also available to the Ohio Supercomputer via the Ohio Academic and Research Network (OARNET). In addition, each graduate faculty member has a well equipped research laboratory with a network of heterogeneous computers and peripherals. Please visit http://www.cs.wright.edu/bie/ for details. Also see section on Computing and Telecommunications Services (CaTS).

Faculty

Professors
Jennie J. Gallimore, human factors engineering, human computer interaction, virtual environments, aviation human factors, medical systems
Raymond R. Hill, development and application of optimization, meta-heuristics, and simulation methodologies to problems in various domains such as pilot disorientation, logistics, and resource planning
S. Narayanan (Chair), modeling, interactive systems, simulation, decision aiding
Chandler A. Phillips, human control systems, biomechanical modeling, orthotic and ergonomic engineering
Malcolm L. Ritchie (Emeritus), human factors engineering, engineering psychology

Associate Professor
Frank Ciarallo, modeling of uncertainty in systems, vehicle traffic systems, inventory and supply chain systems
Tarun Goswami, developing wear prediction models for longer lasting total joint replacements and developing materials for such applications
David B. Reynolds, prosthetics/orthotics engineering, biomechanics, biomimetics, pneumatic muscle, biofluid mechanics

Assistant Professors
Misty Gripper, speech intelligibility testing, usability engineering, physical ergonomics, human workload effectiveness Xinhui Zhang, large scale linear and integer optimization in manufacturing, logistics, service management, and engineering design

Lecturer
David M. Kender, biomedical electronics, human factors engineering

Graduate Assistantship

Assistantships are available to students on a competitive basis. Students awarded assistant-ship support are eligible for stipends and remission of tuition fees. Interest in financial support should be indicated at the time of application.

Research

Faculty research interests focus on three primary areas. Typical activities within these areas include:
Human-Computer Interaction, Human Factors in Aviation, and Usability
• Design of information retrieval systems using cognitive modeling techniques
• Biologically inspired adaptive aiding
• Models and multi-model interfaces for supervisory control
• Development of a model for implementing usability early in the design process
• Modeling human performance through soft computing techniques
• Operational modeling of spatial disorientation effects in flight
• Aviation systems
• Visual information presentation
• Spatial orientation
• Virtual environments
• Adaptive displays
• Display measurement
• Human factors medical systems and processes

Ergonomics and Orthopedic Biomechanics
• Biomechanical modeling in the context of human-machine system design
• Quantitative modeling of the human task informatic transfer function, including the underlying strategy
• Design and optimization methods for industrial ergonomic tasks.

Modeling and Simulation-Based Optimization
• Interactive optimization and logistics systems analysis
• Modeling of swarms of unmanned aerial vehicles
• Modeling of uncertainty in systems
• Large scale linear and integer optimization in manufacturing
• Logistics
• Vehicle traffic management
• Applications in logistics, transportation, manufacturing and supply chain management
• Heuristic development and application for design and optimization




Research at Wright State is not limited to the laboratory facilities on campus. Several industrial companies, laboratories, and Wright-Patterson Air Force Base are involved in joint research efforts with the university and have unique facilities that are available for faculty and graduate research.

Graduate School
E344 Student Union
Voice: (937) 775-2976
Fax: (937) 775-2453
E-mail: wsugrad@wright.edu
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