• Advanced human modeling lab
  • Advanced materials and manufacturing lab
  • Ballistic lab
  • Driving Simulator Research Laboratory (DSRL)
  • Graphics and imaging lab
  • Machine vision lab
  • Material testing lab
  • Micro/nano device research lab
  • Sled testing lab
  • Spine research lab
  • Sports injury bio-mechanics lab
  • Laboratory for Sustainable computing (LaST)
  • Vehicular sensing and control networking and applications Lab

Advanced human modeling lab

The Advanced Human Modeling Laboratory (AHML) of the Bioengineering Center is equipped with three high-speed clusters linked by Myrinet network for high performance computing and a range of RAID devices for real-time back-up. Models developed at AHML include human component models from head to toe and a number of animal head models for head injury investigations.


Contact information:
King H. Yang
Email: aa0007@wayne.edu
Tel: 313-577-0252

Advanced materials and manufacturing lab

In collaboration with the automotive industry, the main focus of the AMML is to reduce manufacturing cost, increase reliability and safety through studying the deformation behavior of materials and applying lightweight structure manufacturing. The laboratory has been actively working on autobody stamping, subassembly and new forming processes, including the development of a new thermal forming technology ("Hot Metal Gas Forming") with enhanced formability for wide range of metals, the microstructure-based constitutive behavior of plasticity and fracture of advanced high strength steels, and light metals, reliability of forming tools, etc. 

Contact information:
Xin Wu
Email: xin.wu@wayne.edu
Tel: 313-577-3882 / 734-634-4554 (cell)

Ballistics lab

This laboratory, located at Wayne State University in the Bioengineering Center, is equipped to study the injurious effects of non-lethal munitions as well as behind body armor effects. With 50 linear feet, the range is equipped to test up to .30 caliber rounds. The range is one of a few facilities where both live fire ammunitions and cadaveric specimens/animal surrogates can be tested.

The range is equipped to test according to the NIJ 0101.04 with an ESPEC ESL-2CA environmental chamber for completion of the back-face signature test and full hand loading capabilities. Velocities are determined with an Oehler 35P chronograph with three model 57 screens measuring 16 X 26 internally. A rubber composite bullet trap (Caswell-Armor) is located at the remote end of the range.

Contact information:
Don Sherman
Email: dsherman110@gmail.com
Tel: 313-577-5034

Driving Simulator Research Laboratory (DSRL)

The EACPHS Driving Simulator Research Laboratory (DSRL) was established in 2008.  Study participants are seated in a fixed base driving simulator (DriveSafety, Inc) that consists of a four-door vehicle (2001 Chevrolet Impala) equipped with steering wheel, pedals, ignition switch, gear shift, rear and side view mirrors, headlights, turn signals and a radio. 

A fully immersed virtual driving experience is created by six networked computers generating the simulated roadway via three forward projection screens (left-center, right) to provide a 150 degree forward field of view, and one rear projection screen.  Driving scenarios are created using HyperDrive software, a tile-based scripting tool.  

Data collection from the Driving Simulator includes information from multiple driver control functions, including the accelerator, the brakes, the turn indicator, the shift selector and the steering wheel.  In addition, the 'position' of the vehicle within the projected landscape is reported.  Data corresponding to each of the performance measures are collected at 60 hHz; data files are saved as Microsoft Excel files. 


Contact information:
Dr. Doreen Yvonne Head
Email: doreen.head@wayne.edu
Tel: 313-577-5884

Graphics and imaging lab

The Graphics and Imaging Lab in the Department of Computer Science was founded by Jing Hua in 2004. It focuses on visual computing area, including computer graphics, visualization, imaging and computer vision.

The lab has an immersive visualization WALL, a Leica scan-station and a depth sensing device. We have developed techniques for digitalizing, sensing, reconstruction, simulation and visualization of 3D real-world dynamic urban environments including moving objects like vehicles and pedestrians.

The lab is equipped with two UltraSparc 2 workstations, 10 Dell dual processor (Quadcore) Xeon PC workstations.  For computational needs, the lab has a 32-node cluster with four management nodes and a disk array of 60TB. The cluster consists of 32 AMD Opteron systems with 16GB of memory, dual 2.2GHz quad core processors, 80GB SATA drives, and Gigabit Ethernet.


Contact information:
Jing Hua
Email: jinghua@wayne.edu
Tel: 313-577-9004

Machine vision lab

The Machine Vision Lab in the Department of Computer Science was established in 2002. Its goal is to perform computer vision research in the areas of object detection and tracking, face recognition, and crowd/pedestrian behavior analysis.

Data acquisition system: Video Camera, Inferred Camera, Stereo Camera, Depth Camera, Camera Array, etc.

Computing system: we are equipped with a state-of-the-art PC cluster that consists of a 32 node cluster with four management nodes and a disk array of 60TB. The cluster is connected with a 64-port Raritan KX2-46 KVMover-IP for off-site management purposes.


Contact information:
Ming Dong
Email: ak3389@wayne.edu
Tel: 313-577-0725

Material testing lab

Dynamic Materials Testing: Four servo hydraulic Instron universal material testing systems and a high-speed Instron material testing machine. The high-speed Instron features a full digital closed loop control system and automatic calibration and auto ranging programmable event detectors. The maximum speed of this dynamic testing system is 20M/S.

Data Acquisition Systems: High speed data acquisition systems include DTS ( 128 channels) and Kayser Threde (64 channels) to capture data at a rate of up to 100,000 samples/s per channel.

Video Acquisition Systems: Nine digital video cameras capable of capturing up to 100,000 frames/s.

ATD's: Family of Hybrid III dummies includes six-month CRABI, 5th percentile female, 50th percentile male, and 95th percentile male. The Center also has a BioSID and a THOR dummy.

Other: Complete in house machine shop and a vast collection of transducers.

Contact information:
King H. Yang
Email: aa0007@wayne.edu
Tel: 313-577-0252

Micro/Nano device research lab

The Micro/Nano Device Research Lab is equipped with a dual-beam focused ion beam system (TESCAN LYRA), two CVD systems for graphene and CNT synthesis, oxygen plasma and a rapid thermal annealing, a white light interferometer (Bruker Contour In-motion), an atomic force microscope (AFM, Agilent 5500), a confocal Raman spectroscopy, an ellipsometry (Woollam alpha SE) and Electrical measurement (semiconductor parameter analyzer, network analyzer, RLC meter, potentiostat, EQCM).  Wayne State University also houses a state-of-the-art nanofabrication and characterization facility for device and material research (double-side aligner, e-beam, ion-beam lithography, DRIE, CVD, PVD, TEM, XRD, NMR, Mass spec).


Contact information:
Mark Ming-Cheng Cheng
Email: mcheng@eng.wayne.edu
Tel: 313-577-5462

Sled testing lab

Hyge sled

The 12-inch HYGE sled can accelerate a maximum payload of 800 kgs to a speed of 60 km/h. The sled deck measures 2 X 3 m to accommodate various test requirements. A metering pin is used to govern the acceleration pulse shape and impact duration to simulate a variety of front, side, rear, and oblique impacts. The entire setup is controlled via a numerical system to allow maximal repeatability.     


Wham III sled

The Wayne Horizontal Acceleration Mechanism (WHAM) III on a 40 m long track is a versatile experimental tool for studying all types of impact environments. The sled deck measures 6 X 3 m to accommodate up to 8,000 kgs of payload to a maximum speed of 129 km/h. The WHAM III sled can be used to study rigid concrete barrier crashes of an entire vehicle, as a propulsion mechanism to study pole or other narrow object impact, or to conduct sled experiments with a deceleration pulse controlled by a hydraulic decelerating mechanism to simulate various vehicular crash profiles.

Contact information:
Paul Begeman
Email: ac7205@wayne.edu
Tel: 313-577-8393

Spine research lab

The Spine Research lab is a 1400 square foot neurophysiology and histology laboratory devoted to neural trauma and pain research and has been in existence since 1992. The Laboratory is directed by Professor John Cavanaugh.

Low back pain studies 

The total indirect cost of musculoskeletal disorders is $50-100 billion annually, with $20 billion in workers compensation costs. The low back being the most frequent body part injured in the workplace. The Spine lab is studying the mechanisms by which nerve roots are irritated by a herniated disc as well as the effect of muscle fatigue on low back injury. We are investigating alternative treatment strategies to treat these injuries.

Whiplash studies

The prevalence of chronic neck pain is approximately 14%. In the United States neck sprains are the most serious injuries reported by 40% of insurance claimants. The Spine Lab is studying the effect of strain and strain rate in facet joints on the discharge of pain fibers and other neurons in these joints. We are also investigating the response of the muscles to facet strain and how this may lead to muscle spasm.

Brain injury and neural trauma

In the US, an estimated 50,000-75,000 deaths are caused by traumatic brain injury (TBI) annually, with another 6 million individuals suffering neurobehavioral sequelae and functional loss. Significant efforts are underway to understand the mechanisms of TBI to prevent such injury.

Our lab is studying the ability of newer MRI imaging modalities such as Diffusion Tensor Imaging to diagnose diffuse axonal injury (DAI) in the brain. DAI is a common injury in patients suffering severe TBI but is also very difficult to diagnose. We are also working with our finite element modeling group to study the effect of stress and strain in brain white matter on DAI. We have already characterized the effects of stress and strain on nerve conduction and axonal injury in spinal nerves.

Contact information:
John Cavanaugh
Email: aa5297@wayne.edu
Tel: 313-577-3916

Sports injury Bio-mechanics lab

Established within the Wayne State University Bioengineering Center, the Sports Injury Bio-mechanics Lab is a state-of-the-art facility capable of evaluating all types of athletic personal protective equipment. The lab contains a Bio-kinetics linear impactor, NOCSAE drop stands, and a pneumatic air cannon. It has data acquisition capabilities including collecting over 130 channels of data per impact, high-speed video cameras for 3-D motional analysis, and an array of anthropometric test dummies with full instrumentation.

The test equipment provides a means to reproduce real world sports impacts in a lab environment. These facilities are typically utilized to test prototype protective sports equipment and have been used to test protective equipment for baseball, softball, hockey, football, polo, lacrosse, soccer, and boxing. In addition to prototype testing, the Sports Injury Bio-mechanics Lab is responsible for certifying boxing gloves and headgear for USA Boxing.

Contact information:
Sarah Stojsih
Email: aj3098@wayne.edu
Tel: 313-577-8321

Laboratory for Sustainable computing (LaST)

The mission of LaST (Laboratory for Sustainable Computing) is investigating the enabling technologies for sustainable computing, including energy-aware operaring systems, intelligent resource scheduling and management, community shared computing, thermal management for multicore. The long term goal of this lab is to reduce the energy consumption of computing devices significantly and/or enforce the thermal management in real-time fashion, while utilizing energy more efficiently.

The laboratory is funded by a recent National Science Foundation CISE Research Infrastructure (CRI) grant and is equipped with an array of data acquisition equipment (e.g., NI PXI/DAQ systems),  thermal/power sensors, and embedded computing platforms.

Contact information:
Nathan Fisher
Email: fishern@wayne.edu
Tel: 313-577-5421

For more information visit this website.

Vehicular Sensing and Control networking and applications lab

For at-scale, high-fidelity evaluation of vehicular sensing and control (VSC) networking and applications research as well as for robust, sustainable operation of the national Global Environment for Network Innovation (GENI) infrastructure, we develop a multidimensional emulation system for networked vehicular sensing and control. The emulation system integrates at-scale simulation of VSC networks in GENI racks with in-field WiMAX and VSC channel measurements as well as high-fidelity sensing of vehicle internal and external state. The emulation system features a virtualized VSC platform with OpenXC-based sensing of vehicle internal state, camera-based sensing of vehicle external state, and real-time wireless channel measurement. The virtualized VSC platforms are deployed in Wayne State University campus patrol vehicles and be networked with the GENI backbone infrastructures through the GENI WiMAX network on campus.

The virtualized VSC platform and the emulation system will be of interest to both researchers and end-users of VSC networks and applications. For instance, the virtualized VSC platform enables non-interfering, simultaneous access to the same platform by multiple users, thus it helps different communities of vehicular sensing and control to synergize their effort and to advance different aspects of the field (e.g., networking, control, human interaction, and applications) in a concerted manner. The virtualized platform also enables incremental deployment of new technologies and applications, since the platform serves as an enabler for non-interfering execution of older and newer applications on the same platform. The long-lived deployment and operation of the VSC platform on Wayne State University police patrol vehicles also serve as live examples and convincing evidence for other related communities to consider this virtualized platform for their deployments of vehicular sensing and control infrastructures.

Contact information:
Hongwei Zhang
Email: hongwei@wayne.edu
Tel: 313-577-0731