Biomedical, Industrial, and Human Factors Engineering

Laboratories and Faculty Researchers

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Laboratories

Faculty Researchers

Caroline G.L. Cao, Ph.D.

Professor
Department of Biomedical, Industrial, and Human Factors Engineering

Research areas include human factors of medical systems, design and evaluation of enabling technology (e.g., robotics, image guidance, haptics) for minimally invasive surgery, training of surgical skills in real and virtual simulators, and decision-making and team communication in the operating room.

 


Sherif Elbasiouny, Ph.D.

Assistant Professor
Departments of Neuroscience, Cell Biology, and Physiology; and Biomedical, Industrial, and Human Factors Engineering

Research areas: neuroengineering and computational neuroscience for analysis of disease mechanisms and identification of drugs targets, neurorehabilitation and sensorimotor control of neural prostheses after peripheral or spinal cord injury, investigation of neurodegenerative diseases (e.g., ALS). Methods employed in the research program include computational modeling, electrophysiology, immunohistochemistry, behavioral and motor performance analysis, electrical stimulation.


Subhashini Ganapathy, Ph.D.

Associate Professor
Department of Biomedical, Industrial, and Human Factors Engineering

Research: Focus on core areas of mobile computing, decision making, user-experience assessment, and human factors engineering. Primary areas of application include engineering education, consumer products, military operations, supply chain, and healthcare. She is a proud recipient of the prestigious Bonder Scholarship for Applied Operations Research in Military Applications, INFORMS Society, 2005.


Tarun Goswami, D.Sc.

Professor
Department of Biomedical, Industrial, and Human Factors Engineering

Research areas include studying the applicability of engineering materials in biomedical fields such as total joint replacements and characterizing their mechanics and durability. New bio/nano-material development and assessing their biocompatibility. Design and development of orthopedic related devices, injury (traumatic brain injury and cervical spinal injury) and device biomechanics assessments. Probabilistic and deterministic design and failure analyses of medical and engineering components. Laboratories supporting these efforts maintain imaging database, computational modeling and analysis software and mechanical testing of hard bones to research bone mechanics.


Jaime Ramirez-Vick, Ph.D.

Chair
Department of Biomedical, Industrial, and Human Factors Engineering

Research areas include adult stem cell research for tissue engineering applications in bone and heart, development of nanotechnologies for the treatment and detection of cancer, and development of various types of electrochemical biosensors. Tissue engineering research has focused on the development of 3D biomimetic scaffolds and the use biophysical stimulation to direct mesenchymal stem cell commitment and differentiation. Specifically, using electromagnetic, microgravity, ultrasound and mechanical stimuli while monitoring genetic and epigenetic changes to understand the underlying mechanisms. Also, we are developing multifunctional nanomedical formulations for cancer siRNA therapeutics capable of simultaneous targeting, imaging, and drug delivery. In addition, current investigations related to biosensors focus on applying nanostructured electrodes for DNA based detection to identify transcription factor biomarkers for recognition of breast and colorectal cancers at an early stage.


Ulas Sunar, Ph.D.

Associate Professor
Department of Biomedical, Industrial, and Human Factors Engineering
Ohio Research Scholar, Ohio Imaging Research and Innovation Network (OIRAIN)

Research areas include Quantitative imaging of diseases and the brain function in preclinical and clinical settings. Multi-modal imaging-guided intervention and therapy optimization. A particular focus of imaging techniques is multi-spectral diffuse optical imaging, fluorescence tomography, and photoacoustic imaging. Quantitated imaging biomarkers include tissue blood flow, oxygenation, and drug concentration by using the mathematical modeling of light diffusion in tissue and image reconstruction algorithms.


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