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The Rawl Engineering Practice Facility provides the equipment and space required to bring an idea from concept to finished product. The REPF houses our engineering competition teams and provides them with space in the practice bays as well as access to a machine shop for building their projects. Specific tools available in the REPF machine shop include: MIG welder, TIG welder, bench grinder, disc sander, horizontal lathe, vertical mill, metal break, metal shear, vertical and horizontal band saws, 3D printers, jig table, CNC mill, CNC plasma torch, and miter and table wood saws.

Optimization and Intelligent Systems Lab

(CEC 28)


The Laboratory of Optimization and Intelligent Systems provides basic research in optimization, intelligent systems and automated learning methods, including predictive data mining, statistical methodology, machine learning and knowledge discovery, algorithms for fast training of Support Vector Machines (SVMs) and kernel methods. Applications are related to weather prediction, manufacturing, medical prognosis, financial engineering, automatic categorization of gene expression data from DNA microarrays. 

Machining and Precision Lab I

(CEC S14)


Manufacturing process equipment housed in this lab, for teaching and research purposes, include a research engine lathe for friction and wear studies, a 3-axis CNC milling machine for research in sculptured surface machining, a CNC 3-axis miniature milling machine, two additive manufacturing machines for printing plasters and plastics, an optical projector, a micro-computer based data acquisition system (including piezoelectric tool force dynamometer with amplifiers), a high-resolution data acquisition system with card/box for isothermal compensation (cold junction), amplification, linearization, calibration, and A/D conversion, a tool makers microscope, and acoustic emission measurement equipment. 

Carroll G. Webb IE Team Room

(CEC 217)


The Carroll G. Webb IE Team Room is a room dedicated to collaborative and individual study by ISE students. The room provides a comfortable environment for team work with conference tables, a computer projection system, desktop computers, and a small seating area for group conversation. 

The Systems Realization Lab

(CEC 218/219)


The Systems Realization Laboratory SRL is a multicultural, multidisciplinary academic family focused on educating the next generation of professors. Current research in the SRL is focused on model-based realization of complex systems. The lab has three primary research thrusts: 1) Architecting Failsafe Engineered Networks, 2) Integrated Realization of Engineered Materials, Products, and Associated Manufacturing Processes, and 3) Knowledge-Based Platform for Decision Support in the Design of Engineered Systems (PDSIDES). This research lab provides modern facilities for advanced study and computing. 

Distributed Analytics Lab

(CEC 443)


The Distributed Analytics research laboratory is an interdisciplinary lab comprised of professors and students from Industrial and Systems Engineering and Computer Science. The research focus of the lab is on distributed optimization problems in the presence of decentralized and real- time collection of datasets. Such problems require developing new solution approaches in a distributed computing environment. Application focus of the lab is on smart integration of renewable energy sources (wind, solar, and geothermal resources), electric vehicles, and the grid.  The lab contains three computers for graduate research and a meeting space for group discussions and presentations 

Moore-Norman Technology Center Precision Machining Lab


The School of ISE contracts with the MNTC to provide ISE 3304 students access to the equipment, facilities, and technicians in the Precision Machining Lab. ISE students are trained on-site at MNTC in basic machine shop safety, in addition to machine and tool usage. They learn the safe operation and application of lathes and milling machines, turning, threading, drilling, milling, and grooving, and tool grinding. Students build various parts with rotational and prismatic (box-type with slots and pockets) features. They learn how to plan the sequence of machining operations, how to hold tolerances and tolerance stackup and analysis, make measurements and plan cuts, and how to fixture parts during machining. They also learn about chip formation, surface roughness generation/optimization, cutting tool wear, and then observe these phenomena in the physical experiments. 

Cognitive Engineering and Decision Making Lab

(CEC 23 & 26)


Features state-of-the-art eye trackers including Tobii TX 300 and Gazepoint. Researchers in the School of Industrial and Systems Engineering are using the devices to investigate human behavior and performance in a human-computer interaction environment. Both eye trackers are placed under computer monitors, and have 4 infrared cameras that tracks humans’ eye movements. The eye tracking technology is being applied to diversified fields such as air traffic control, weather forecasting, and online healthcare systems. The room has a HP integrated desktop computer, one laptop computer, and two 40 inch display monitors.

This lab also features a STISIM Drive M100 interactive driving simulator. Researchers in ISE are using the simulator to develop and test infrastructure-based collision prevention systems for intersections. The simulator includes a display with 45-degree field-of-view, Logitech game-type driving controls, and customizable simulation software. Users can program common driving scenarios using the STISIM Drive software or can write their own Visual Basic programs for custom applications, such as testing novel warning devices.

Precision Engineering Lab II

(CEC 33)


Used both for teaching and research in manufacturing engineering, the equipment in this lab includes three Coordinate Measuring Machines (CMM s), with full computerized controls, for measurement and metrology of tolerances, an Accordion Fringe Interferometer, mounted on an optical table for precision non-contact measurement, a machine vision system, optical measurement accessories (lenses, linear and circular stages, laser light source), tool-maker's microscope, a contact surface roughness profilometer, ultrasonic pulser/receiver, oscilloscope, and a precision lathe modified for specimen rotation in roughness measurement experiments. 

Data Science and Analytics Lab

(CEC 34)


The Data Science and Analytics Laboratory focus on the development of theory and tools for advancing the science of analytics. A broad range of data-intensive problems are in scope as they pertain to improving data-mining and predictive modeling techniques or represent novel applications. The lab contains four desktop computers for graduate computational work and a conference area for discussions and presentations. 

Precision Metrology Lab

(CEC 24)


Used largely for research in manufacturing engineering, the equipment in this lab uses a cutting- edge Laser Radar Tracker by Leica with T-Scan for full scale, high precision metrology of aerospace and automobile components, a Photon Scanner for full range object scanning by Faro, and a flexible CMM scan/arm by Faro mounted on an optical table for flexible measurements of small components. All these equipment are computer interfaced. Modeling systems include Polyworks, Geomagic, and PC-DMIS. This lab also has a high precision lapping machine capable of making very fine surface finishes. 

Human Factors and Ergonomics Lab

(CEC 42)


The Human Factors and Ergonomics Lab supports undergraduate and graduate teaching and research in the areas of physical and cognitive human performance as related to industrial ergonomics and systems design. The laboratory has been recently renovated to provide more space for instruction and collaborative team work to facilitate solving simulated design problems in human-machine systems. The lab also provides a variety of tools and equipment to enable testing and measurement of human performance, including strength, anthropometry, physiological endurance, and psychomotor performance.

Community Resilience CORE Research Lab

(CEC 442)


The Community Resilience CORE Research Laboratory is an interdisciplinary research lab comprised of professors and students from Industrial and Systems Engineering and Civil Engineering.  The CORE lab exists to support research in the domain of "community resilience".  In particular, the lab focuses on investigating approaches to help communities (e.g., cities, towns) withstand and recover rapidly from disasters. We have active collaborators across the nation from Civil Engineering, Economics, Social Science, and Computer Science to study and quantify how disruptions in the complex interdependent infrastructure systems that underpin modern society impact economic measures and social norms. Research in the lab contributes new mathematical models to capture the many levels of complexities in the system and novel machine learning methods to support resilience in general.  The lab contains seven desktop computers for graduate research and a central meeting space for group discussions and presentations.

Risked-Based Systems Analysis Lab

(CEC 448)


The Risk-Based Systems Analysis Laboratory focuses on the development of theory, methodology, and application towards risk-based decision making in engineering systems. Primary areas of interests lie in data-driven predictive and prescriptive analytics for modeling and enhancing the reliability, resilience, and interdependent economic impacts of disruptions to critical infrastructure systems. This is primarily a research lab containing seven desktop computers for undergraduate and graduate computational research endeavors, as well as central meeting space for group meetings and presentations.