Biomedical Engineering & Assistive Technology
Dr. Asgari works in CSULB's Biomedical Engineering and Computer Engineering and Computer Science departments. In her research, she uses computational and mathematical modeling, advanced signal processing algorithms, and artificial intelligence to deliver biomedical applications. After earning a Ph.D. in electrical engineering from UCLA, she completed two years postdoctoral training at UCLA David Geffen School of Medicine and multidisciplinary brain research in the UCLA Neurosurgery Department. The recipient of a UCLA Brain Injury Research Center Young Investigator Award and CSULB Early Academic Career Excellence Award, Asgari in 2016 was inducted into the National Academy of Inventors.
Dr. Ayala's research focuses on therapeutic systems that promote optimal healing. An assistant professor in the Biomedical Engineering Department , she applies a multidisciplinary approach to create engineered tissues and cohesive drug-delivery platforms for clinic applications. Dr. Ayala received her B.S. in Chemical Engineering from UC Riverside. After earning her Ph.D. in Bioengineering from UC Berkeley and UC San Francisco, she completed postdoctoral training in the Department of Surgery at Beth Israel Deaconess Medical Center and the Wyss Institute for Biologically Inspired Engineering at Harvard University. She is the recipient of an NSF Graduate Research Fellowship, and was inducted into the CSULB chapter of the National Academy of Inventors in 2016. She is a member of BMES, TERMIS, MRS, and SACNAS.
Dr. Demircan researches techniques for understanding how motor control dictates human movement, multi-body dynamics and control, and simulation and analysis of biomechanical and robotic systems. The research could help advance rehabilitation and assistive robotics, cyber-physical systems, and sports biomechanics. Dr. Demircan obtained her Ph.D. in Mechanical Engineering from Stanford University in 2012. She was a postdoctoral scholar at Stanford from 2012-2014, a visiting assistant professor at University of Tokyo from 2014-2015, and a part-time scientist at Stanford's Lucile Salter Packard Children's Hospital Gait Analysis Lab. Dr. Demircan holds a joint appointment in the Biomedical Engineering and Mechanical & Aerospace Engineering departments.
Dr. Ava Hedayatipour’s research interests include analog integrated circuit designs, bio-implantable and biomedical devices, low- power and low-noise designs, microelectronics, mixed-signal VLSI designs, and hardware security. Dr. Hedayatipour developed the first integrated secure multimodal sensor, using low-power blocks to implement impedance and temperature sensor, with security fabricated with a Lorenz chaotic circuit. Her impedance sensor has also been used to detect thoracic impedance and hand gestures. printable electrode enables individuals to do electrochemical experiments in remote locations. She is the recipient of a 2019 University of Tennessee fellowship award and 2018 outstanding teaching assistant. She holds a Ph.D. in electrical engineering from the University of Tennessee Knoxville.
Dr. Roger C. Lo couples microfabrication with robust analytical detection methods and computer automation to enable rational microsystem design for various applications, such as microreactors and high-throughput biological/chemical analysis. He earned his Ph.D. in Chemical Engineering from Texas A&M University in 2008 and joined CSULB the following year. Dr. Lo holds a joint appointment in the Chemical Engineering and Biomedical Engineering departments.
Dr. Panadda (Nim) Marayong is a Professor and the Director of the Robotics and Interactive Systems Engineering (RISE) Laboratory in the Department of Mechanical and Aerospace Engineering at CSULB. She received her Ph.D. in Mechanical Engineering from Johns Hopkins University. Her primary research interests are in the areas of robotics, haptics, and design of human-machine cooperative systems for application in rehabilitation, aviation safety, and manufacturing. Currently she serves as the Director of the Research Enrichment Core and one of the PIs of the NIH-funded CSULB BUILD Program. In addition to research, she has actively been involved in numerous educational outreach programs that promote STEM to K-12 students. She was the recipient of the 2012 CSULB President’s Commission on the Status of Women (PCSW’S) Advancement of Women Faculty Award and 2019 Orange County Engineering Council’s Distinguished and Pioneer Educator Award. She is a member of ASEE, IEEE, SWE, and Tau Beta Pi.
In the Multiphase Flow Lab (MFL), Dr. Moghtadernejad studies processes and phenomena involving fluid and powders that depict phase changes and have multiple states. Research arises from real applications with the aim of solving challenging and contemporary industrial issues. The lab is equipped with state-of-the-art tools to closely reproduce real-life conditions and perform distinct numerical and statistical analyses. MFL is a result-oriented laboratory to benefit Pharmaceutical Manufacturing, Automotive Metal Powder Technology, Process Health, Safety and Environment (HSE), and the Aerospace and Oil and Gas industries. Before joining CSULB as an assistant professor in Fall 2018, she researched as a postdoctoral fellow and a lecturer at McGill University’s Biomimetic Surface Engineering Lab and the NSF Engineering Research Center on Structured Organic Particulate Systems (CSOPS) of Rutgers University. Her collaborations include the U.S. Food and Drug Administration (FDA), National Science Foundation (NSF), Air Force Research Laboratory (AFRL), Johnson & Johnson, GlaxoSmithKline (GSK), 3M, and Bombardier Aviation.
Ga-Young Kelly Suh
Dr. Suh’s research focuses on application of computational analysis to human data relevant to endovascular surgery with medical devices. Her research employs a multidisciplinary approach to recruit patients, manage clinical trials, acquire medical images, and develop tools to extract measurement for vascular surgeons and device manufacturers. Dr. Suh received B.S. in ME from Yonsei University, M.S. and Ph.D. in ME from Stanford University, and postdoc in Surgery from Stanford. Her expertise includes computational fluid dynamics to simulate blood flows from human subjects with vascular disease, and medical image analysis to evaluate surgical performance. Dr. Suh is currently leading researches related to medical device design with aid of 3D printing, and computational modeling of challenging cases in heart or vessels. Furthermore, she is collaborating with Stanford University for evaluation of vascular stents and surroundings using medical imaging, and geometric analysis to find a predictor for surgical outcome.