ISE has high quality facilities to support research across the range of industrial systems and engineering disciplines including physical and cognitive ergonomics research, data intensive/computational research, and advanced manufacturing.
ISE Faculty members Victor Paquet (Center director), Ann Bisantz, and Lora Cavuoto are leading the development of new person-centered information technologies, sensing systems, assistive technologies, and home environments to advance health and function via the home as part of a new UB Center of Excellence, Home Health and Well-being through Adaptive Smart Environments (Home-BASE). The center capitalizes on ISE collaborations with UB faculty from Biomedical Engineering, Rehabilitation Sciences, Nursing, and Architecture to complete research which will transform health and health care practice. Current projects include the development of new ways to continuously monitor asthma in the home, and new home-based rehabilitation approaches that provide significant long-term functional benefits to those who have experience stroke or have COPD. One project involves the used of a portable exercise measurement system for people who have suffered a stroke. The system uses everyday objects such as a “smart can” to track performance and provide real-time feedback, with the aim to enhance motor function and gain greater independence.
For more information see www.ubhomebase.org.
The Healthcare Engineering Research Center at University at Buffalo's Industrial and Systems Engineering Department focuses on developing methods and applications using systems engineering and human factors. Since 2000, faculty members have worked on research in analysis and design of health care information technology in hospitals, evaluation of health care IT implementation, efficiency improvement in hospitals, financial analysis of health care systems, in primary, acute and home care settings. Research at the center has been funded by health care agencies at the federal level (e.g., Agency for Health care Research and Quality, AHRQ), state level (New York State Department of Health) and local county health department. A large number of efficiency and financial improvement projects have also been completed at several hospitals (e.g., Erie County Medical Center, Mercy Hospital of Buffalo, Sisters of Charity Hospital, Kenmore Mercy Hospital, and St. Vincent Health Center in Erie, PA). Research collaborators in many of the center's research projects are from MedStar (Washington, D.C.), Cornell Weill Medical College, University of Florida Medical School, Virginia Common University Medical School, and University of Rochester Medical School. Students graduated from the center are employed by health systems (e.g., Catholic Health, Mayo Clinic), insurance firms (e.g., Progressive Insurance), and consulting companies (e.g., Milliman).
The mission of this center is to integrate logistics, operations research and game theory to better prepare for, mitigate, and manage both natural and man-made hazards in transportation systems. For more information contact Dr. Jun Zhuang.
This laboratory is used for research activities in the area of physical ergonomics, safety, and occupational biomechanics. Research in this lab involves the investigation of workplace injury mechanisms, human capacity, and physical performance along with the development and evaluation of ergonomic controls and interventions. In addition, students utilize the laboratory equipment to identify and assess the physical risks of work environments. This laboratory is equipped with a 3D motion capture system, a full body dynamometer system, EMG measurement equipment, a force platform, and data collection and analysis software. For more information contact Dr. Lora Cavuoto.
This laboratory is configured to support research in collaborative/team decision-making, visualization for decision support, and human factors studies. This facility supports research on individual and team decision making and system control. The laboratory contains several large screen displays and three configurable individual workstations, each equipped with positionable flat panel displays, networked computers, microphones and high quality headphones for team communication or control over the auditory environment. The room includes partitions to create individual or team workspaces. Data collection is supported through screen and voice recording software via and experimenter control room equipped with one-way glass. There are several additional workstations supporting experimental control and data analysis. For more information contact Dr. Ann Bisantz.
In the Cognitive System Laboratory, we are integrating cognitive science and engineering system design, to model human cognition system with its applications in system design, improve transportation safety, promote human performance in human-computer interaction, and invent innovative sustainable and smart energy systems with human in the loop. There is various equipment in the lab for research, including an interactive human-vehicle simulator, a portable 40-channel brain signal measurement system, human-system/machine interface design and prototyping hardware and software, and intelligent energy system test-bed and test-room for smart vehicles and smart buildings.
Dedicated to solving engineering domain specific challenges by integrating process and sensor data via data analytics and machine learning, and generate actionable knowledge/decision-making. Our research focuses on:
· Data Analytics/Machine Learning for Advanced Manufacturing Processes Modeling, Monitoring, and Control: analysis of heterogeneous data such as functional, graph, and point cloud data, with applications in semiconductor manufacturing, additive manufacturing, flexible electronics, etc.
· Data Fusion Modeling and Design Optimization for Health and Energy Systems: integrating process data, domain knowledge, physical models, etc. for system modeling, forecasting, and control, with applications in warehouse worker fatigue, microbial fuel cell, 2D material synthesize, etc.
The Multimodal Transportation System (MTS) Laboratory focuses its research on multimodal transportation system modeling and simulation including both highway and railway systems. Specifically, the research topics include intelligent transportation systems, connected vehicles, event-based traffic management, transportation data analytics, logistics, infrastructure management, decision support for transportation operations, recommendations for preparedness and response to natural disasters and other emergencies. MTS is equipped with the hardware-in-the-loop traffic signal control system, which consists of a microscopic simulation program, Naztec TS2 type 1 traffic signal controller and a Naztec TS2 test box. The Naztec TS2 test box is treated as a controller interface device (CID), which is used to provide a real-time link between the simulation program and the traffic controller. Lab possesses many popular traffic simulation modeling and simulation packages including: VISSIM, PARAMICS, AIMSUN, CORSIM, INTEGRATION, and DYNASMART; and signal optimization software such as TRANSYT-7F and SYNCHRO. For more information contact Dr. Qing He or see http://www.acsu.buffalo.edu/~qinghe/.
The Social Optimization Laboratory supports research efforts in social network analysis, social influence, social behavior modeling, crowdsourcing, collaborative learning, and more broadly, inference and mining of large social media, transportation system and healthcare data. For more information, contact Dr. Alex Nikolaev or see http://www.nikolaev-sollab.com.
The OPTIMATOR Lab focuses on optimization for industrial and military applications through operations research. Students in the lab design algorithms and systems to solve difficult vehicle routing and scheduling problems. The OPTIMATOR Lab features a flight simulator for unmanned aerial vehicles (UAVs, also more popularly known as drones), as well as a fleet of five quadcopter UAVs. Student work stations and a group meeting space facilitate collaborative research within the lab. For more information contact Dr. Chase Murray.
The Industrial and Systems Engineering department owns and operates a Dell PE high-performance computing cluster, composed of 12 shared-memory computer nodes, each having a 12-core Intel Xeon E5-2620 v3 2.4GHz processor, 128 GB of RAM, and QDR Infiniband. The cluster is currently hosted and maintained by the University at Buffalo’s Center for Computational Research (CCR) and is used to support the research endeavors of the ISE students and faculty members, serving as a useful computational platform for testing complex algorithms and processing large amounts of data. For more information contact Dr. Jose Walteros, Dr. Jee Eun Kang, or Dr. Sara Behdad.
The formal human systems laboratory conducts research that focuses on the use of formal methods, human performance modeling, theories of human error, and judgement analysis to provide reliability and performance guarantees about complex, safety-critical systems. Tools and techniques developed in the laboratory are used in the evaluation of aerospace, medical, military, and automotive systems. For more information please contact Matthew Bolton or see http://fhsl.eng.buffalo.edu/.
In addition to research centers and laboratories organized within the ISE department, ISE faculty and students contribute to the following UB centers and strategic initiatives: