Month: November 2020

Structural and Mechanical Inhomogeneity in Arterial ECM: Implications for Physiology and Disease

Webex Link:http://s.uconn.edu/meseminarf90

Abstract: The extracellular matrix (ECM) of an artery endows the tissue its load bearing and damage resistance capacities. This talk will focus on the complex interplay between the multiscale ECM structural inhomogeneity and mechanics of large elastic arteries. Our recent studies integrating multiphoton imaging and quantification, biomechanical characterization, and computational modelling showed that ECM structural inhomogeneity exists at multiple structural levels of the arterial wall. At the intralemellar level, varying fiber orientation distribution and undulation contributes to local ECM mechanical properties. At the interlamellar level, transmural variation in in-plane fiber orientation distribution determines the anisotropic mechanical behavior of the elastin network. Furthermore, the waviness gradient among the elastic lamellar layers plays an important role in maintaining tissue homeostasis. Finally, structural inhomogeneity in transmural interlamellar fibers and the development and propagation of aortic dissection will be discussed.

Biographical Sketch: Dr. Katherine Zhang is a Professor at Boston University’s Departments of Mechanical and Biomedical Engineering, and Division of Materials Science and Engineering, and the Associate Chair for the Graduate Program in the Department of Mechanical Engineering. She received her B.S. degree in Engineering Mechanics from Tsinghua University; and her M.S. and Ph.D. degrees in Mechanical Engineering from University of Colorado at Boulder, where she was also a postdoc for two years. In 2006, Dr. Zhang became an Assistant Professor at Boston University and established the Multi-Scale Tissue Biomechanics Laboratory. Her research focuses on vascular biomechanics and the multi-scale mechanics and mechanobiology of the extracellular matrix. Dr. Zhang was awarded the Clare Boothe Luce Assistant Professorship in 2006, the Young Faculty Award from DARPA in 2007, and the Faculty Early Career Development (CAREER) Award from the NSF in 2010. Dr. Zhang was elected a Fellow of the American Society of Mechanical Engineers (ASME) in 2018.

Advances in Data Analytics for IoT Enabled Smart and Connected Systems

Webex Link: http://s.uconn.edu/meseminarf90

Abstract: Internet of Things (IoT) represents the convergence of
three major and irreversible technology trends, namely (i) embedded sensing/smart devices, (ii) pervasive connectivity, and (iii) real-time analytics and contextual intelligence. The ability to collect and share relevant data across a wide range of devices, coupled with the ability to make real- time decisions, results in an unprecedented opportunities for system modeling, monitoring, and prognosis. In this talk, several new data analytics techniques tailored for IoT-enabled smart and connected systems will be introduced, including modeling and prognosis of condition monitoring signals using B-spline based mixed effects model, degradation model considering environmental factors, and stochastic decision making. The advantageous features of the proposed methods are demonstrated through numerical studies and real world case studies.

Biographical Sketch: Shiyu Zhou is the Vilas Distinguished Achievement Professor in the Department of Industrial and Systems Engineering and the Director of IoT Systems Research Center at the University of Wisconsin-Madison. His research focuses on data-driven modeling, monitoring, diagnosis, and prognosis for engineering systems with particular emphasis on manufacturing and after-sales service systems. He has established methods for modeling, analysis, and control of Internet-of-Things (IoT) enabled smart and connected systems, variation modeling, analysis, and reduction for complex manufacturing processes, and process control methodologies for emerging nano-manufacturing processes. He has won a large number of highly competitive federal research grants. His research also attracted significant interests from industry and received significant direct funding support from various companies. He is a recipient of a CAREER Award from the National Science Foundation and the Best Application Paper Award from IIE Transactions. He is now the director of IoT Systems Research Center at UW-Madison and a fellow of IISE, ASME, and SME.