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IMECE® 2023 > Program > Track Plenary Speakers

Track Plenary Speakers

Tony Huang

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Tony Jun Huang

Presentation Title: Acoustofluidics: Merging Acoustics and Fluid Mechanics for Biomedical Applications

Abstract: The use of sound has a long history in medicine. Dating back to 350 BC, the ancient Greek physician Hippocrates, regarded as “the father of medicine”, devised a diagnostic method for detecting fluid in the lungs by shaking patients by their shoulders and listening to the resulting sounds emanating from their chest. As acoustic technology has advanced, so too has our ability to “listen” to the body and better understand underlying pathologies. The 18th century invention of the stethoscope allowed doctors to gauge the health of the heart; the 20th century invention of ultrasound imaging revolutionized the field of biomedical imaging and enabled doctors to diagnose a range of conditions in the fields of obstetrics, emergency medicine, cardiology, and pulmonology. In the last decade, a new frontier in biomedical acoustic technologies has emerged, termed acoustofluidics, which joins cutting-edge innovations in acoustics with micro- and nano- scale fluid mechanics. Advances in acoustofluidics have enabled unprecedented abilities in the early detection of cancer, the non-invasive monitoring of prenatal health, the diagnoses of traumatic brain injury and neurodegenerative diseases, and have also been applied to develop improved therapeutic approaches for transfusions and immunotherapies. In this talk, I summarize our lab’s recent progress in this exciting field and highlight the versatility of acoustofluidic tools for biomedical applications through many unique examples, ranging from the development of high-purity, high-yield methods for the separation of circulating biomarkers such as exosomes and circulating tumor cells, to highly precise, biocompatible platforms for manipulating cells and studying cell-cell communication, to high-throughput therapeutic approaches for platelet isolation and enrichment, to strategies for high-resolution 3D bioprinting, to programable, contact-free technologies for digital fluid manipulation. These acoustofluidic devices can precisely manipulate objects across 7 orders of magnitude (from a few nanometers to a few centimeters). Thanks to these favorable attributes (e.g., versatility, precision, and biocompatibility), acoustofluidic devices harbor enormous potential in becoming a leading technology for a broad range of applications, playing a critical role for translating innovations in technology into advances in biology and medicine.

Bio: Tony Jun Huang is the William Bevan Distinguished Professor of Mechanical Engineering and Materials Science at Duke University. Previously he was a professor and the Huck Distinguished Chair in Bioengineering Science and Mechanics at The Pennsylvania State University. He received his Ph.D. degree in Mechanical and Aerospace Engineering from the University of California, Los Angeles (UCLA) in 2005. His research interests are in the fields of acoustofluidics, optofluidics, and micro/nano systems for biomedical diagnostics and therapeutics. He has authored/co-authored over 260 peer-reviewed journal publications in these fields. His journal articles have been cited more than 29,000 times, as documented at Google Scholar (h-index: 91). He also has 26 issued or pending patents. Prof. Huang was elected a fellow (member) of National Academy of Inventers (USA) and the European Academy of Sciences and Arts. He was also a fellow of the following six professional societies: American Association for the Advancement of Science (AAAS), the American Institute for Medical and Biological Engineering (AIMBE), the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), the Institute of Physics (UK), and the Royal Society of Chemistry (UK). In addition, he has selected to receive many prestigious awards and honors including a 2010 National Institutes of Health (NIH) Director's New Innovator Award, a 2012 Outstanding Young Manufacturing Engineer Award from the Society for Manufacturing Engineering, the 2014 IEEE Sensors Council Technical Achievement Award from the Institute of Electrical and Electronics Engineers (IEEE), the 2017 Analytical Chemistry Young Innovator Award from the American Chemical Society (ACS), the 2019 Van Mow Medal from the American Society of Mechanical Engineers (ASME), and the 2019 Technical Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS). In 2022, he was named to a global list of the most highly cited researchers (cross field) by Clarivate (Web of Science).


Alexander F. Vakakis

Thursday, November 2, 9:15AM – 10:00AM

Name: Alexander F. Vakakis

Presentation Title: Engineering Intentional Nonlinearity in Acoustics and Phononics

Abstract: We explore the intentional implementation of strong nonlinearity in acoustical and phononic waveguides, with the aim of enabling passive targeted energy transfer (TET) and management in these systems This is a predictive engineering approach whereby externally induced or self-excited broadband/narrowband energy, is either irreversibly directed in preferential paths/modes, rapidly scattered in the frequency/wavenumber domains, dissipated locally, or harvested at a priori designated sites. Interestingly, such directed energy transfers and management mimic analogous irreversible energy cascades in Nature, e.g., in turbulent flows or granular assemblies, and, as such, benefit from the well-known robust and enhanced dissipative features exhibited by these natural phenomena. Our approach dictates advanced theoretical modelling and analysis to account for strongly nonlinear effects, robustness studies to avoid unwanted instabilities and/or unaccounted complexity in the acoustics, but also nonlinear system identification, reduced-order modelling, optimization, and experimental validation of theoretical predictions and deigns. Unique benefits of this nonlinear approach include passive tunability of the acoustics to energy and frequency/wavelength contents of the applied excitations, as well as, drastic and beneficial changes in the global system acoustics by means of the addition of local nonlinear elements. We discuss applications such as directional wave transmission in phononic lattice networks; interband TET in phononic systems; passive ways for breaking acoustic reciprocity in acoustic waveguides with local nonlinearities and asymmetries; nonlinear topological insulators; and granular shock protectors with time-scale disparity in their responses – that is, with the capacity to respond either in the dynamic or the acoustic range depending on the location of the external shock. The aim is to translate this approach to new methods, technologies, applications and devices that exploit and showcase intentional strong nonlinearity.

Bio: Alexander F. Vakakis received his Ph.D. from Caltech (1990), M.Sc. from Imperial College, London, UK (1985), and Diploma in Mechanical Engineering from the University of Patras, Greece (1984). Currently he is the Donald Biggar Willett Professor of the College of Engineering of the University of Illinois at Urbana – Champaign (UIUC) where he co-directs the Linear and Nonlinear Dynamics and Vibrations Laboratory; moreover, he is co-affiliate faculty at the University of Stuttgart, Germany. Among other awards, he is the recipient of the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award from the UIUC College of Engineering (2023), an Alexander von Humboldt Research Award (2019), the Edmond J. Safra Visiting Professorship from Technion (2019), and the ASME Thomas K. Caughey Award in nonlinear dynamics (2014). He has published over 350 archival journal publications, holds four patents, and has authored or edited 6 technical texts and monographs. Many of his PhD students and postdoctoral fellows are currently faculty members in the US and abroad, and researchers in R&D centres. His research interests include nonlinear dynamics, vibrations, and acoustics from the macro- to the micro-scales, passive energy management and targeted energy transfer, nonlinear phononics, acoustic metamaterials, nonlinear system identification, bioengineering, non-smooth dynamics and vibration energy harvesting.

Yan Wang

Thursday, November 2, 9:15AM – 10:00AM

Name: Yan Wang

Presentation Title: Physics-Informed Machine Learning for Physics-Based Data-Driven Design and Manufacturing

Abstract: The essential task in designing products, materials, or processes is to establish the process-structure-property (P-S-P) relationships that enable design optimization. The task, however, is challenging, because the P-S-P relationships are usually very complex and involve a large number of design variables. To explore the high-dimensional design solution space, it is very costly to rely only on experiments or physics-based simulations to obtain high-fidelity P-S-P predictions. Therefore, empirical and data-driven machine learning models can be useful. Nevertheless, data sparsity is the main barrier of using the latest machine learning tools as the surrogates of complex P-S-P relationships. In the last five years, we developed a general framework of physics-informed neural networks to tackle the data sparsity challenge by applying physical models as the constraints to guide the training of neural networks. Novel adaptive weighting scheme as well as multi-fidelity and minimax architectures were proposed to predict complex multiphysics phenomena. To quantify uncertainty, new physics-constrained Bayesian neural networks were also proposed. The new framework has been applied to engineering design problems of heat transfer and phase transition, as well as predictions of temperature, dendritic growth, and grain coarsening to optimize additive manufacturing processes, in combination with scalable Bayesian optimization and physics-based models such as the phase-field thermal lattice Boltzmann method and kinetic Monte Carlo. In addition, to improve the efficiency of data collection in physical experiments, we developed a physics-constrained dictionary learning framework to solve the inverse problem of compressed sensing that is dedicated to manufacturing process monitoring. Data compression, sensor placement optimization, and classification for diagnosis can be performed simultaneously.

Bio: Yan Wang, Ph.D. is a Professor of Mechanical Engineering and leads the Multiscale Systems Engineering research group at the Georgia Institute of Technology. The research of the group is at the intersection of design, manufacturing, and materials. His recent interests include materials design, uncertainty quantification, physics-informed machine learning, and quantum scientific computing. He has co-authored over 200 refereed journal and conference publications, including the ones with best conference paper awards at the American Society of Mechanical Engineers (ASME) Computers & Information in Engineering Conference, ASME Multibody Systems, Nonlinear Dynamics, and Control Conference, The Minerals, Metals & Materials Society (TMS) World Congress on Integrated Computational Materials Engineering, the Institute of Industrial & Systems Engineers (IISE) Industrial Engineering Research Conference, and the International CAD Conference. He is a recipient of the U.S. National Science Foundation CAREER Award, a National Aeronautics and Space Administration (NASA) Faculty Fellow, and an ASME Fellow. He currently serves as the Editor-in-Chief of the ASME Journal of Computing and Information Science in Engineering and was the Chair of ASME Computers & Information in Engineering Division and the Chair of Advanced Modeling & Simulation Technical Committee.

Bill Peter

Thursday, November 2, 9:15AM – 10:00AM

Name: Dr. Bill Peter, Director, Advanced Manufacturing Program

Presentation Title: ORNL's Advancements in Additive, Digital, Composites and Hybrid Manufacturing

Abstract: A thriving, and competitive national manufacturing sector is vital to meeting the nation’s goals in clean energy, economics, and security. ORNL performs fundamental research in advanced materials and manufacturing and is home to the Department of Energy’s Manufacturing Demonstration Facility (MDF) supported by the Advanced Materials and Manufacturing Technology Office. The MDF provides access to over 1,100 companies, federal agencies, and universities annually to transfer research knowledge to practice. Research activities include large scale metal deposition, thermoplastic and thermoset printing, hybrid systems performing additive and machining operations, new machine tools, new additive powder bed systems, advanced composites, digital manufacturing solutions, and even infrastructure printing capabilities. This presentation will review some of the more recent advancements in materials and manufacturing and how these technologies are having an impact in clean energy.

Bio: Dr. Bill Peter is the Program Director for Advanced Manufacturing at Oak Ridge National Laboratory. He manages a research portfolio of over $50M annually in advanced manufacturing. Dr. Peter has over 25 years-experience in advanced manufacturing and materials research for energy and national security applications. Bill Peter was the Director for DOE AMMTO’s Manufacturing Demonstration Facility from 2016-2022. The MDF is U.S. DOE’s first research facility established to provide industry with affordable and convenient access to infrastructure, tools and expertise to facilitate rapid adoption of advanced manufacturing. Under Dr. Peter’s direction, the MDF established over $1B of follow-on private funding based on the manufacturing and materials research, developed over a dozen new manufacturing systems and collaborated with over 250 companies. Dr. Peter has led groups of greater than 160 people in joining research, metal and ceramic processing, carbon fiber and composites, energy storage, separations, manufacturing systems development, techno-economic analysis, and additive manufacturing. He has been the principal investigator for over 30 R&D projects including research in the areas of powder metallurgy of titanium powders, the fabrication of amorphous/nanocrystalline materials, the processing of Al, Mg, and Fe-based alloys, and additive manufacturing. Dr. Peter has been author or co-author for 90 publications and has won over 7 R&D 100 Magazine awards for research in the development of high temperature aluminum alloys, coating solutions for large additive manufacturing, engineered additive manufacturing materials, consolidation of new titanium powders, additive manufacturing of prosthetics, development of a roll mill technology, and the development of laser-fused NanoSHIELD coatings. Dr. Peter was selected as a Fellow for SME in 2020. Dr. Peter received his B.E. from Vanderbilt University in 1996, and his M.S. and Ph.D. from the University of Tennessee in 2002 and 2005, respectively.


Bruce Kramer

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Dr. Bruce Kramer

Presentation Title: Implementation of the National Strategy for Advanced Manufacturing

Abstract: The United States is engaged in a global competition in manufacturing and has taken strong actions to revitalize the manufacturing sector, increase the resilience of U.S. supply chains and national security, invest in manufacturing R&D, and train Americans for jobs of the future. The National Strategy for Advanced Manufacturing was developed by the Subcommittee on Advanced Manufacturing of the National Science and Technology Council, established by Congress in 2012 to provide long-term guidance for Federal programs and activities in support of U.S. manufacturing competitiveness. The strategy addresses the development and implementation of advanced manufacturing technologies, the education of an advanced manufacturing workforce, and the establishment of resilient manufacturing supply chains and ecosystems. Each goal is supported by strategic objectives with technical and program priorities. The talk will highlight opportunities for researchers and educators to identify new possibilities for increasing the capabilities and productivity and reducing the environmental impacts of US manufacturing companies and educating the engaged and digital savvy workforce needed to strengthen US manufacturing competitiveness.

Biography: Bruce Kramer is a graduate of MIT (S.B., S.M., Ph.D) and has served on the faculties of Mechanical Engineering of MIT and George Washington University. He is currently the Senior Advisor in the Division of Civil, Mechanical and Manufacturing Innovation of the National Science Foundation, coordinating NSF’s participation in the National Advanced Manufacturing Program. Dr. Kramer previously directed NSF’s Divisions of Design, Manufacture and Industrial Innovation and Engineering Education and Centers. He holds three U.S. patents and is a Fellow of the Society of Manufacturing Engineers and an International Fellow of the School of Engineering of the University of Tokyo. He has received the F.W. Taylor Medal of CIRP, the ASME Blackall Award, and the R.F. Bunshah Medal of the ICMC for his contributions to manufacturing research and the Distinguished Service Award, the highest honorary award granted by the NSF.

Markus J. Buehler

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Markus J. Buehler

Presentation Title: Bioinspired Material Mechanics: Digital Discovery, Design and Manufacturing

Abstract: Digital biomaterials are designed through an integrated approach of large-scale computational modeling, material informatics, and artificial intelligence/machine learning to optimize and leverage novel smart material manufacturing for advanced mechanical properties. Through the use of nanotechnology and additive manufacturing, and bio-inspired methods, we can now mimic and improve upon natural processes by which materials evolve, are manufactured, and how they meet changing functional needs. In this talk we show how we use mechanics to fabricate innovative materials from the molecular scale upwards, with built-in bio-inspired intelligence and novel properties, while sourced from sustainable resources, and breaking the barrier between living and non-living systems. Applied specifically to protein materials, this integrated materiomic approach is revolutionizing the way we design and use materials, and has the potential to impact many industries, as we harness data-driven modeling and manufacturing across domains and applications. The talk will cover several case studies covering distinct scales, from spider webs and silk, to collagen, to biomineralized materials, as well as applications to food and agriculture, and focuses on mechanistic insights using scaling laws and size effect studies.

Bio: Markus J. Buehler is the McAfee Professor of Engineering at MIT (an Institute-wide Endowed Chair), a member of the Center for Materials Science and Engineering, and the Center for Computational Science and Engineering at the Schwarzman College of Computing. He holds academic appointments in Mechanical Engineering and Civil and Environmental Engineering. In his research, Professor Buehler pursues new modeling, design and manufacturing approaches for advanced biomaterials that offer greater resilience and a wide range of controllable properties from the nano- to the macroscale. His interests include a variety of functional material properties including mechanical, optical and biological, linking chemical features, hierarchical and multiscale structures, to performance in the context of physiological, pathological and other extreme conditions. His methods include molecular and multiscale modeling, design, as well as experimental synthesis and characterization. His particular interest lies in the mechanics of complex hierarchical materials with features across scales (e.g. nanotubes, graphene and natural biomaterial nanostructures including protein materials such as intermediate filaments and hair, collagen, silk and elastin, and other structural biomaterials). An expert in computational materials science and AI, he pioneered the field of materiomics, and demonstrated broad impacts in the study of mechanical properties of complex materials, including predictive materials design and manufacturing. Between 2013-2020, Buehler served as Department Head of MIT’s Civil and Environmental Engineering Department. He has held numerous other leadership roles at professional organizations, including a term as President of the Society of Engineering Science (SES). He received numerous awards, including the Feynman Prize, the ASME Drucker Medal, the J.R. Rice Medal, and many others. In 2023, he was elected to the National Academy of Engineering (NAE).

Taher Saif

Thursday, November 2, 9:15AM – 10:00AM

Name: Taher Saif

Presentation Title: Living Machines and Materials

Abstract: Industrial revolution of the 19th century marked the onset of the era of machines and new materials that transformed societies. However, these machines and materials cannot self assemble or heal themselves. On the other hand, since the discovery of genes, there is a considerable body of knowledge on engineering living cells. It is now possible to envision biohybrid active materials, machines and robots with living cells and scaffolds. These living materials may become active through a self-assembly process, and the machines may self assemble and emerge from complex interactions between the cells and the scaffolds at various hierarchical levels. We will highlight a few biohybrid machines developed in various labs around the world, but discuss in detail a biohybrid swimmer that emerges from interactions between a scaffold and living materials consisting of muscle cells and neurons. While such machines demonstrate the first milestone achieved in this new field of living intelligent robots with unprecedented opportunities, they also highlight the current limitations and gaps in the field. Closing these fundamental gaps will not only pave the way to more complex engineered living systems, but will also provide new insight on biological processes and the life itself. A few key challenges and unanswered questions will be discussed.

Bio: Dr. Taher Saif is the Edward William and Jane Marr Gutgsell Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. His current research includes tumor micro environment, mechanics of neurons and cardiac cells, and development of biohybrid machines with living materials. His research involves exploration of the underlying mechanism of cell-cell and cell-scaffold interactions, as well as the biophysical processes by which cells remodel their microenvironment. He served as the research lead for biohybrid machines group in the NSF Science and Technology Center, EBICS. He is the recipient of 2020 Engineering Science Medal from the Society of Engineering Science, and the 2018 Warner T. Koiter Medal from American Society of Mechanical Engineers. He became a Fellow of AAAS in 2023.

Guruswami Ravichandran

Monday, October 30, 9:45AM – 10:30AM

Name: Guruswami Ravichandran, Jio Institute Ulwe, Navi Mumbai, India

Presentation Title: Dynamic Behavior of Additively Manufactured Lattice Structures

Abstract: Lattice structures are a class of architected cellular materials composed of periodic unit cells with structural elements, including rods and plates. Additive manufacturing techniques, such as 3D printing, allow control and tunability of unit cell geometries, which enable lattice structures to exhibit high stiffness/strength-to-mass ratios. Lattice structures are increasingly used in aerospace and other energy absorption applications involving impact and transient loading. The design and analysis of such structures require knowledge of their dynamic material properties. The high strain-rate behavior of polymeric Kelvin lattices with rod- and plate-based geometries are investigated using a polycarbonate split-Hopkinson (Kolsky) pressure bar system with high-speed imaging. Both quasi-static and high strain-rate experiments show the formation of a localized deformation band, and the strain-rate effects of lattice specimens correlate with that of the polymeric base material. Dynamic experiments on polymeric and metallic lattice structures are performed using a direct impact technique with high-speed imaging coupled with digital image correlation (DIC). The effect of topology on the transition from transient dynamic to shock compression of polymeric lattice structures with cubic, Kelvin, and octet-truss unit cells is explored. At high impact velocities, the shock compression behavior is characterized by a compaction wave initiating and propagating from the impact surface. One-dimensional shock theory in the form of Rankine-Hugoniot jump conditions is applied using full-field quantitative measurements to quantify the mechanical response, including energy absorption. Explicit finite element simulations are performed to elucidate the dynamic behavior of lattice structures and validate the deformation modes and scaling/property trends.

Biography: Guruswami Ravichandran is the Provost and Professor of Engineering at Jio Institute. He previously served as the Otis Booth Leadership Chair of the Division of Engineering and Applied Science and as the Director of the Graduate Aerospace Laboratories (GALCIT) at the California Institute of Technology (Caltech). He received his B.E. in Mechanical Engineering from the University of Madras, Sc.M. in Engineering and Applied Mathematics and Ph.D. in Engineering (Solid Mechanics and Structures) from Brown University. He is an elected member of the U.S. National Academy of Engineering and Academia Europaea. He is a Fellow of ASME, AAM, and SEM. His awards and honors include being named Chevalier de l'ordre des Palmes académiques by the Republic of France, and receiving Warner T. Koiter Medal from ASME, A. C. Eringen Medal from SES, and W. M. Murray Lecture Award from SEM. His research interests are in mechanics of materials, including dynamic behavior, micro/nano mechanics, biomaterials and cell mechanics, active materials, and experimental methods.

Anthony Waas

Tuesday, October 31, 9:15AM – 10:00AM

Name: Anthony M. Waas

Presentation Title: Aerostructural Reinforced Bonded Joints: Experimental Results and Computational Modeling

Abstract: Adhesively bonded joint technology is now widely used in aircraft structural designs because of its advantage over conventional fastening systems. Stress concentrations that are unavoidable at fastener areas can be reduced with adhesively bonded joints, and thus fatigue resistance can be significantly improved. Structural weight can be reduced by replacement of the fastener hardware with the adhesive joints. A promising concept in joining laminated structures is the "Pi joint". The Pi-shaped joint improves performance by increasing the bonding area between adherends. To enhance interfacial strength and toughness, z-pin reinforcement can be effective. A computational model of a z-pin reinforced composite pi joint has been developed and correlated against experimental results. A smeared cohesive zone modeling approach was implemented to represent the effect of z-pinning in an efficient and scalable manner. In the smeared approach, cohesive properties governing the traction-separation response of the z-pin reinforced areas are defined to account for the apparent increase in fracture toughness caused by z-pinning in an averaged sense. 3D Enhanced Schapery Theory with crack band is proposed to account for diffuse damage in the weave of the pi preform. This damage develops due to delamination suppression caused by the z-pinning. The numerical model was calibrated using experimental data from pristine and defective z-pinned pi joints subjected to pull-off and side-bend loading. Comparisons of experimental and numerical results show good agreement in terms of structural response, critical loads, and failure modes.

Biography: Anthony M. Waas is the Felix Pawlowski Collegiate Chair in Aerospace Engineering at the University of Michigan. He is also a Professor of Mechanical Engineering. Prior to that he was the Richard A. Auhll Department Chair (2018-2023), and Boeing Egtvedt Endowed Chair Professor and Department Chair in the William E. Boeing, and Department of Aeronautics and Astronautics at the University of Washington (UW), Seattle (2015-2018). His current research interests are: robotically manufactured lightweight structures, computational modeling of composite aerostructures, 3D printed lightweight structures, damage tolerance of composite structures, affordable textile composites, and data science applications in modeling of materials and structures. Professor Waas was the Felix Pawlowski Collegiate Chair Professor of Aerospace Engineering and Director, Composite Structures Laboratory at the University of Michigan, from 1988 to 2014, prior to joining UW in January 2015.

Professor Waas is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA), the American Society of Mechanical Engineering (ASME), the American Society for Composites (ASC), the American Academy of Mechanics (AAM) and the Royal Aeronautical Society, UK. He is a recipient of several best paper awards, the 2016 AIAA/ASME SDM award, the AAM Jr. Research Award, the ASC Outstanding Researcher Award, and several distinguished awards from the University of Michigan, including the Stephen S. Attwood award for Excellence in Engineering, one of the highest honors for an Engineering faculty member at the University of Michigan. He received the AIAA-ASME-ASC James H. Starnes, jr. Award, 2017, for seminal contributions to composite structures and materials, and for mentoring students and other young professionals. In 2017, Professor Waas was elected to the Washington State Academy of Sciences, and in 2018 to the European Academy of Sciences and Arts. He is the recipient of the AIAA ICME Prize, 2020, the ASME Warner T. Koiter Medal, 2020, and the AIAA Dryden Lecture in Research, presented at the International Scitech Conference, 2022. Recently, Prof. Waas was elected to the US National Academy of Engineering - Aeronautics and Space Engineering Board.

Luis Sobrevia

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Luis Sobrevia

Presentation Title: Insulin/adenosine axis involvement in endothelial dysfunction in gestational diabetes

Abstract: Gestational diabetes mellitus (GDM) causes endothelial dysfunction at the macrocirculation in the human placenta. Since the blood level of adenosine in umbilical vein, but not in arteries is higher in GDM compared with normal pregnancies, a role for this endogenous nucleoside in the GDM-associated endothelial dysfunction is proposed. Adenosine uptake is mediated via the human equilibrative nucleoside transporters 1 and 2 in human umbilical vein endothelial cells (HUVECs). The expression (SLC29A1 gene) and activity hENT1 is differentially modulated by insulin acting via subtype A (IR-A) and B (IR-B) receptors in HUVEC. A metabolic phenotype (p42/44mapk/Akt activity ratio <1) is characteristic of endothelial cells from GDM, an effect that is reversed to a mitogenic phenotype (p42/44mapk/Akt activity ratio >1) by insulin via IR-A in HUVEC. Recent findings show that extracellular adenosine modulates insulin action on L-arginine transport and nitric oxide synthesis in HUVEC via A1 adenosine receptors (A1AR) in GDM, but via A2AAR in normal pregnancies. Support: FONDECYT 1190316 Chile.

Bio: Luis Sobrevia, Chilean, holds a BSc in Biology and Natural Sciences from the Universidad del Bío-Bío, MSc in Physiological Sciences from the Universidad de Concepción (Chile) and a PhD in Physiology and Medical Sciences, with postdoctoral training in vascular pathophysiology at King’s College London from University of London (UK). He holds a Diploma in Teaching from the Pontificia Universidad Católica de Chile (PUC). He is a Fellow of The Physiological Society (UK) (FTPS), a Fellow of the Academy of Physiology of the International Union of Physiological Sciences (FIUPS), member of the Academy of Sciences of Latin-America (ACAL), Professor of Molecular Physiology and Medicine at the Faculty of Medicine at PUC, Honorary Professor at University of Queensland (Australia), Universidad de Sevilla (Spain), and São Paulo State University (UNESP, Brazil), Distinguished Research Professor at TecSalud, Tecnológico de Monterrey (Mexico), and Visiting Professor at the University of Groningen (The Netherlands). He has 243 publications in reputed journals (Google h-index = 54, WoS h-index = 41), tutored 69 graduate theses and 20 postdoctoral. He is the Director of the Cellular and Molecular Physiology Laboratory (CMPL) at PUC, Executive Editor and member of the editorial board of several scientific/medical journals, IUPS Representative to Americas, member of the Cardiovascular and Respiratory Council Commission of IUPS, member of the Liaison Committee of the Regional Focal Point for Latin America and the Caribbean (RFP LAC) of the International Science Council (ISC), President of the Latin-American Association of Physiological Societies (ALACF) (until 2023), and immediate past-President of the Chilean Society of Physiological Sciences (2021-2023). His research focus is altered fetoplacental vascular function in diseases of pregnancy, including gestational diabesity, gestational diabetes mellitus, preeclampsia, and maternal obesity.

Gary C. Sieck, Ph.D.

Name: Gary C. Sieck, Ph.D.

Thursday, November 2, 9:15AM – 10:00AM

Presentation Title: Unraveling a Homeostatic Molecular Pathways Involved in Inflammation-Induced Airway Remodeling

Abstract: The effects of inflammation on airway smooth muscle (ASM) are mediated by pro- inflammatory cytokines such as tumor necrosis factor alpha (TNFα) and can be either adaptive (homeostatic or maladaptive (pathological). In our research, we hypothesize that a homeostatic response to airway inflammation increases mitochondrial O2 consumption and ATP production to meet increasing energy demands (airway hyper-reactivity), while mitigating oxidative stress. Acute exposure to TNFα increases ASM force generation in response to muscarinic stimulation (hyper-reactivity) resulting in increased ATP consumption and increased tension cost. To meet this increased energetic demand, mitochondrial O2 consumption and oxidative phosphorylation increase but at the cost of increased reactive oxygen species (ROS) production (oxidative stress). TNFα-induced oxidative stress results in the accumulation of unfolded proteins in the endoplasmic reticulum (ER) of ASM activating an ER stress pathway involving phosphorylation of inositol- requiring enzyme 1 alpha (pIRE1α) triggering downstream alternative splicing of the transcription factor X-box binding protein 1 (sXBP1). We found that activation of the pIRE1α/sXBP1 pathway in human ASM results in mitochondrial fragmentation via phosphorylation of dynamin-related protein-1 (pDrp1S637). Mitophagy is also activated by TNF via recruitment of phosphatase and tensin homolog (PTEN)-induced putative kinase 1 (PINK1) to damaged (depolarized) mitochondria and phosphorylation of the Parkin, an E3 ubiquitin ligase that mediates mitophagic removal of damaged mitochondria to improve mitochondrial quality. Exposure to TNFα also results in phosphorylation of cAMP-response element binding protein (pCREB) and activating transcription factor 1 (ATF1) in ASM. ATF1 has a similar sequence to CREB with a homologous phosphorylation domain. In ASM, TNFa induces phosphorylation of ATF1 at serine 63 (pATF1S63) and CREB at serine 133 (pCREBS133) resulting in transcriptional co-activation of the PGC1a promotor with downstream gene targets that mediate mitochondrial DNA replication and mitochondrial biogenesis. As a result, TNF results in an increase in mitochondrial volume density in ASM cells, reduced O2 consumption rate per mitochondrion and reduced ROS production, while still meeting increased energy demand. Thus, in the homeostatic response, the energetic load of hyper-reactivity is shared across the mitochondrial pool within ASM cells.

Biography: Gary C. Sieck, Ph.D. is an endowed Professor and Distinguished Investigator and past Chair of the Department of Physiology and Biomedical Engineering at Mayo Clinic. He also served as Dean for Academic Affairs at Mayo. He has mentored 27 Ph.D. students and 87 postdoctoral fellows. He was president of the American Physiological Society and president of the Association of Chairs of Departments of Physiology. He is an elected Fellow of the American Physiological Society and the American Institute of Medical and Biological Engineering. His research focuses on respiratory muscle physiology, specifically cell signaling pathways mediating respiratory muscle plasticity. He has been continuously funded by multiple grants from the NIH for more than 45 years. He has authored 476 journal articles, numerous abstracts and many other written publications. He was editor-in-chief of the Journal of Applied Physiology and Physiology and is currently an associate editor of Comprehensive Physiology, FASEB BioAdvances and ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.

Kon Well Wang

Monday, October 30, 9:45AM – 10:30AM

Name: Kon-Well Wang

Presentation Title: Harnessing the Dynamics of Reconfigurable Matter – From Wave Control to Mechano-Intelligence

Abstract: In recent years, the concept of reconfigurable matter developed based on nature-inspired modular architectures has been explored to create advanced engineering systems. For example, inspired by the observation that some of skeletal muscle's intriguing macroscale functionalities result from the assembly of nanoscale cross-bridge constituents with metastability, the idea of synthesizing metastructures from the integration of mechanical metastable modules has been pursued. In another example, inspired by the physics behind the plant nastic movements and the rich designs of origami folding, a class of metastructures is created building on the innovation of fluidic-origami modular elements. Overall, the modules are designed to be reconfigurable in their shape, mechanical properties, and stability features, so to produce synergistic and intriguing dynamic functionalities at the system level, such as programmable phononic bandgap control and nontraditional wave steering. More recently, with the rapid advances in high-performance intelligent systems, we are witnessing a prominent demand for the next generation of mechanical matter to have much more built-in intelligence and autonomy. An emerging direction is to pioneer and harness the metastructures’ high dimensionality, multiple stability, and nonlinearity for mechano-intelligence via physical computing. That is, we aim to concurrently embed computing power and functional intelligence, such as observation, learning, memorizing, decision-making and execution, directly in the mechanical domain, advancing from conventional systems that solely rely on add-on digital computer to achieve intelligence. This presentation will highlight some of these advancements in harnessing reconfigurable matter for structural dynamics tailoring, from adaptive wave and vibration controls to self-learning-self-tuning intelligence.

Bio: Dr. Kon-Well Wang is the A. Galip Ulsoy Distinguished University Professor of Engineering and Stephen P. Timoshenko Professor of Mechanical Engineering (ME) at the University of Michigan (U-M). He has been the U-M ME Department Chair from 2008 to 2018, and has served as a Division Director at the U.S. National Science Foundation for two years, 2019-20, via an Executive Intergovernmental Personnel Act appointment. Wang received his Ph.D. degree from the University of California, Berkeley, worked at the General Motors Research Labs as a Sr. Research Engineer, and started his academic career at the Pennsylvania State University in 1988. At Penn State, Wang has served as the William E. Diefenderfer Chaired Professor, co-founder and Associate Director of the Vertical Lift Research Center of Excellence, and a Group Leader for the Center for Acoustics & Vibration. He joined the U-M in 2008. Wang’s main technical interests are in structural dynamics, vibration, and controls, especially in the emerging field of intelligent structural & material systems, with applications in vibration, acoustic & wave controls, energy harvesting, and sensing & monitoring. He has received various recognitions, such as the ASME Rayleigh Lecture Award, the Pi Tau Sigma-ASME Charles Russ Richards Memorial Award, the ASME J.P. Den Hartog Award, the SPIE Smart Structures and Materials Lifetime Achievement Award, the ASME Adaptive Structures and Materials Systems Prize, the ASME N.O. Myklestad Award, the ASME Rudolf Kalman Award, and several other best paper awards. He has been the Editor in Chief for the ASME Journal of Vibration & Acoustics, and an Associate Editor or Editorial Board Member for various journals. Wang is a Fellow of the ASME, AAAS, and IOP.


Dr. Wenquan Lu

Thursday, November 2, 9:15AM – 10:00AM

Name: Dr. Wenquan Lu

Presentation Title: Lithium Ion Batteries for Electric Vehicle

Abstract: Lithium-ion batteries (LIBs) have enabled electric vehicles to become more viable due to their high energy density, long cycle life, low self-discharge rate and environmental friendliness. However, in order to further facilitate its market penetration, challenges, such as cost, safety, performance, and recycling, still need to be addressed. This presentation will focus on energy density improvement through active material development since they are key components in LIBs. Active materials include both cathode and anode materials which are equally important to contribute to the energy density of LIBs. As for cathode materials, nickel rich metal oxides as cathode materials will be discussed in terms of their energy density, performance, and stability. On the other hand, Si as anode material will be thoroughly discussed. Two types of Si materials, nano size crystal Si and SiO, were systematically investigated at our laboratory and performance improvements were achieved for both. For Si particles, the improvement was realized by controlling the surface oxide layer, which can mitigate the parasitic reaction between Si and electrolyte. As for SiO, the improvement was realized by regulating the interface between Si and SiO2 domains within the particle.

Bio: Majoring in electrochemical engineering, Dr. Wenquan Lu has over 20 years work experiences related to renewal energy and energy storage, such as lithium battery, fuel cell, and supercapacitor. His current focus is lithium-ion battery (LIB) system development for electric vehicle (EV) applications, including fundamental understanding, applied research and development (R&D). As a principal investigator, Dr. Lu has led multiple projects supported by government and industries to advance LIB technologies for EV application. Through close collaboration with multidisciplinary teams and broad research topics, Dr. Lu has developed profound understanding on the LIB system, which allows him to envision the current challenge and future direction of energy storage technology.

Ting Wang

Tuesday, October 31, 9:15AM – 10:00AM

Name: Ting Wang

Presentation Title: Experience in Thermal-flow Science and Clean Energy/Power Engineering Research and Education

Abstract: As a traditional branch of Mechanical Engineering's curriculum, the fundamental knowledge taught in thermal-flow science has furthered the major capabilities of a mechanical engineering student. The fundamental knowledge and training in Thermal-flow science has been traditionally broadly applied to more practical problems encountered in clean energy/power engineering. The speaker will share his experience spanning over 38 years in teaching and mentoring students to pursue their appropriate roles in the society and in inspiring and grooming those undergraduate students who show interest in pursuing advanced degrees in the Graduate School. Particularly, the recovery experience and resilience of faculty/staff and students in the aftermaths of Hurricanes Katrina (2005), Zeta (2020), and Ida (2021) on the campus of University of New Orleans will be presented. Finally, the speaker will also share the changes and adjustments of his personal teaching and research philosophy in his career path to fulfill his desire to perform as an inspiring and effective educator.

Bio: Professor Ting Wang is currently the Director of Energy Conversion and Conservation Center (ECCC) and Matthey Endowed Chair for Energy Research of University of New Orleans (UNO). He is also a Professor of Department of Mechanical Engineering. Prior to UNO, he taught 15 years at Clemson University in South Carolina, USA. He has been involved in energy conservation and power generation in full spectrum for the past 40 years. He specializes in gas turbine power generation, turbomachinery, coal gasification, poly-generation, integrated gasification combined cycle (IGCC), Micro Combined Cooling, Heating, and Power (Micro-CCHP), multiphase flow heat transfer, energy efficiency, and general thermal-flow engineering. He has conducted both fundamental and applied research with funding from U.S. governmental agencies, such as Air Force Office of Scientific Research (AFOSR), Office of Naval Research (ONR), U.S. Department of Energy (DOE), USAID, National Science Foundation (NSF) and various private industrial companies.

Professor Wang received a Ph.D from the University of Minnesota at Twin Cities, an M.S. degree from the State University of New York at Buffalo, and a B.S. from Tatung Institute of Technology in Taiwan with a major in mechanical engineering. He has published over 330 research papers and reports. He was the recipient of the ASME George Westinghouse Silver Medal and Edward F. Obert Award. He was the Past Chair of two ASME committees (Coal, Biomass, Hydrogen, and Alternative Fuels Committee and Gas Turbine Heat Transfer Committee). He has served on the editorial board of three International Journals. He currently serves on the Board of Pittsburgh Coal Conference and the Executive Committee of American Society of Thermal and Fluids Engineering (ASTFE). He is an ASME Fellow.

Ramesh K. Agarwal

Monday, October 30, 9:45AM – 10:30AM

Name: Ramesh K. Agarwal

Presentation Title: Numerical and Experimental Investigation of Incipient and Deep Rotating Stall Characteristics in a Mixed-Flow Pump

Abstract: Pumps are among the most power-consuming general-purpose equipment in energy conversion devices and have significant impact on the modern industrial economy. Mixed flow pump can be considered as a kind of pump design between centrifugal pump and axial flow pump since it employs the combined effect of centrifugal force and thrust generated by the rotation of the impeller to convey fluid, and the fluid flows axially in and diagonally out through the impeller. It has high flow rate, high efficiency, and strong anti-cavitation performance. It is widely used for agricultural irrigation, municipal water supply and drainage, water circulation in power industry, naval water jet propulsion, underwater weapons launch, and regional water transfer projects among other applications.

Compared to other types of pumps, the internal flow in a mixed-flow pump is more complex, and the secondary flow and deliquescence are more prominent. There are not only inherent unsteady flow problems caused by static and dynamic flow interference, but also unsteady problems induced by wheel edge leakage vortex and its trailing-off in the fluid stream as well as rotational stall and other complex flow phenomena which seriously affect the operational stability, performance and efficiency of a mixed-flow pump. In this paper, the internal flow characteristics and the energy performance of a mixed-flow pump in both the incipient and deep stall condition are numerically simulated using RANS equations with several turbulence models (k-ε, k-ω and SST k-ω). The numerical results are compared with experimental data from an energy performance test and Particle Image Velocimetry (PIV). The analysis of the results shows that the turbulence models have significant influence on predicting the stall characteristics. The important hump zone calculated by the SST k-ω model is more prominent than that obtained by using the k-ε and k-ω models and the model can better capture the backflow in the end wall region as well as the separated flow and stall vortex compared to the other two models. Additionally, the SST k-ω model has better prediction ability for the uneven spatial distribution of the low pressure area and the change of pressure gradient due to initial stall. Overall, the efficiency of the pump and both the incipient and deep stall flow fields predicted by the SST k-ω model give the best agreement with the experiment. Validated computational tool is then used for robust optimization of impeller blades using machine learning (Neural Network) to improve the pump efficiency for wide range of flow rates. This technology/approach can be used for robust optimization of other pump types.

Biography: Professor Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis. From 1994 to 2001, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University in Kansas. From 1978 to 1994, he was the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968. Over a period of 45 years, he has worked in several disciplines within mechanical & aerospace engineering, and energy and environment which include computational fluid dynamics, computational electromagnetics and acoustics, control theory, multidisciplinary design and optimization, turbomachinery and pumps, chemical looping combustion, carbon capture and sequestration, and wind energy. He is the author and coauthor of over 600 publications. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide in over sixty countries. He is a Fellow of 28 professional societies including American Institute of Aeronautics and Astronautics (AIAA), American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), Society of Automotive Engineers (SAE), American Association for Advancement of Science (AAAS), American Physical Society (APS) and American Society for Engineering Education (ASEE). He has received many prestigious honors and national/international awards from various professional societies and organizations for his research contributions including the AIAA Reeds Aeronautics Award, SAE Medal of Honor, ASME Honorary Membership and Honorary Fellowship from Royal Aeronautical Society.

Chris Freitas

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Dr. Chris Freitas, Southwest Research Institute (SWRI), San Antonio, TX

Presentation Title: Verification, Validation and Uncertainty Quantification (VVUQ) – A Guide to Practical Implementation

Abstract: Verification, Validation and Uncertainty Quantification (VVUQ) in computational modeling and simulation in science and engineering requires additional work elements to be executed in a computational workflow. Typically a computational workflow or series of simulations are performed to provide data in support of an engineering or science project where there is a purpose and technical objective for the project. These projects have schedule and cost requirements. VVUQ is essential to the successful outcomes of these projects, where VVUQ provides the supporting data for assessing the predictive accuracy of the computational simulations. However, there is a cost and schedule impact of VVUQ to these technical projects, thus, knowing when enough VVUQ is enough, becomes a critical metric. Anticipating the requirements for VVUQ is an important step in project planning. This presentation provides background and insights into how to balance project requirements with VVUQ.

Biography: Dr. Christopher J. Freitas is Program Director for Computational and Experimental Mechanics, in the Department of Engineering Dynamics at Southwest Research Institute and has over 35 years of experience in R&D. Dr. Freitas is a mechanical engineer with professional interests in modeling and simulation, experimental methods, high-performance computing and software development, and continuum mechanics. He holds a B.S. degree (1977) in Environmental & Ocean Engineering from Humboldt State University (a California State University), an M.S. degree (1978) in Civil Engineering from Utah State University (Fluid Mechanics/Hydraulics/Hydrology), and a Ph.D. (1986) in Mechanical & Civil Engineering from Stanford University (Computational Fluid Dynamics). Dr. Freitas develops and applies computational tools and experimental methods for the analysis of complex engineered and naturally occurring systems. He develops research projects that couple together modeling and simulation with large scale experiments, and has worked extensively on verification, validation, and uncertainty analysis. Dr. Freitas has written or collaborated on numerous technical papers/presentations (150+) and technical reports (200+), and holds six patents. He is a registered professional engineer in California, and has served ASME in many roles and is currently the Editor-in-Chief of ASME's Journal of Verification, Validation and Uncertainty Quantification. Dr. Freitas is an ASME Fellow, winner of the ASME Fluids Engineering Division Medal, ASME Dedicated Service Award, and the ASME Patrick J. Higgins Medal.

Yuri Bazilevs

Tuesday, October 31, 9:15AM – 10:00AM

Name: Yuri Bazilevs

Presentation Title: Isogeometric Analysis: Breakthroughs in Computational Mechanics of Shell Structures

Abstract: Designers generate CAD (Computer Aided Design) models, which are then translated into geometries that are suitable for physics-based simulation. These geometries are meshed and then serve as inputs to Finite Element Analysis (FEA) simulation codes. The geometry conversion process is often tedious and manual-labor intensive and is estimated to take the bulk overall analysis time. Isogeometric Analysis (IGA), which is a collection of geometrically exact discretization methods for Partial Differential Equations (PDEs), is aimed at the unification of CAD and engineering simulation by eliminating the main bottlenecks in the engineering design-through-analysis process and product development cycle. The fundamental idea of IGA is to focus on a single geometric model, which can be utilized directly as a simulation model, or from which geometrically precise analysis models can be efficiently built. Integration of CAD and FEA is thus achieved by developing general-purpose computational analysis framework and procedures based on the technologies of CAD and CG.

While IGA has significantly impacted much of computational mechanics, one area that has benefited the most from IGA research is computational methods for shell structures. Because geometrically complex, smooth surfaces are naturally represented in CAD systems, much of that technology could be directly employed in the discretization of existing shell theories, with increased accuracy and robustness in general-purpose nonlinear applications relative to traditional FEA representations. In addition, the increased smoothness of CAD surface representation (by means of B-Splines and their rational and unstructured variants) enabled the formulation, and use in general-purpose nonlinear applications, of thin shell theories previously unattainable in traditional FEA. Many more developments followed, making shells the most mature IGA technology today and a prime candidate for implementation in commercial FEA codes. This presentation will focus on key breakthroughs in IGA for thin structures starting from early developments and progressing to recent research results. Several applications will be presented where Isogeometric shells are playing a key role in the success of the computations performed.

Biography: Yuri Bazilevs is the E. Paul Sorensen Professor in the School of Engineering at Brown University. His research interests are in computational science and engineering, with emphasis on the modeling and simulation in solids and structures, fluids, and their coupling in HPC environments. For his research contributions Yuri received many awards and honors, including the 2018 Walter E. Huber Research Prize from the ASCE, the 2020 Gustus L. Larson Award from the ASME, and the Computational Mechanics Award from the International Association for Computational Mechanics (IACM). He is included in the lists of Highly Cited Researchers, both in the Engineering (2015-2018) and Computer Science (2014-2019) categories. Yuri recently completed his service as the President of the US Association for Computational Mechanics (USACM) and as the Chairman of the Applied Mechanics Division of the ASME. He currently serves on the US National Committee for Theoretical and Applied Mechanics (USNCTAM).

Tayfun E. Tezduyar

Monday, October 30, 9:45AM – 10:30AM

Name: Tayfun Tezduyar

Presentation Title: Computational Flow Analysis with Boundary Layer and Contact Representation: Car and Tire Aerodynamics with Road Contact

Abstract: In computational flow analysis with moving solid surfaces and contact between the solid surfaces, it is a challenge to represent the boundary layers with an accuracy attributed to moving-mesh methods and represent the contact without leaving a mesh protection gap. The Space-Time Topology Change (ST-TC) method, introduced in 2013, makes moving-mesh computation possible even when we have contact between moving solid surfaces or other kinds of flow-domain topology change. The contact is represented without giving up on high-resolution flow representation near the moving surfaces. With the ST-TC and other ST computational methods introduced before and after, it has been possible to address many of the challenges encountered in conducting this class of flow analysis in the presence of additional complexities such as geometric complexity, rotation or deformation of the solid surfaces, and multiscale nature of the flow. We provide an overview of the methods that made all that possible. We also provide an overview of the computations performed for tire aerodynamics with challenges that include the influence of the car aerodynamics, complexity of a near-actual tire geometry with grooves, road contact, tire deformation and rotation, road roughness, and fluid films.

Biography: Tayfun Tezduyar is the James F. Barbour Professor of Mechanical Engineering at Rice University and is Professor in Faculty of Science and Engineering at Waseda University. He received his PhD from Caltech in 1982. His areas of research expertise include computational fluid-structure interaction (FSI) and computational flow analysis, including spacecraft parachute FSI and aerodynamics of vehicles and tires. He pioneered stabilized finite element methods for compressible flows, space-time finite element methods for FSI and fluid-particle interaction, and parachute FSI analysis methods for the nation's new-generation spacecraft program. Tezduyar holds a 1986 Presidential Young Investigator Award. He received the computational mechanics award of the Japan Society of Mechanical Engineers, US Assoc for Comput Mech, International Assoc for Comput Mech, Argentine Assoc for Comput Mech, Japan Assoc for Comput Mech, and the Asian Pacific Assoc for Comput Mech and the Ted Belytschko Applied Mechanics Award of the American Society of Mechanical Engineers. He was also elected an Honorary Member of the Japan Assoc for Comput Mech. Tezduyar coauthored the textbook Computational Fluid-Structure Interaction: Methods and Applications (Wiley), with Japanese translation (Morikita).

Steven A. Soper

Tuesday, October 31, 9:15AM – 10:00AM

Name: Steven A. Soper, Ph.D.

Presentation Title: Integrated Microfluidic Systems for the Comprehensive Analysis of Circulating Tumor Cells and Circulating Leukemia Cells

Abstract: Liquid biopsies are becoming popular for managing cancer diseases due to the minimally invasive nature of their acquisition. Circulating tumor cells (CTCs) generated from solid tumors and circulating leukemia cells (CLCs) produced from liquid cancers, are biomarkers that can be secured from blood using microfluidic technologies. However, many of these platforms require manual sample handling, which can generate difficulties when translating CTC/CLC assays into the clinic due to potential sample loss, contamination, and the need for highly specialized operators. In this presentation, we will discuss a system modularity chip for the analysis of rare targets (SMART-Chip) comprised of three task-specific modules that can fully automate processing of CTCs and CLCs. The modules are used for affinity selection of CTCs/CLCs from blood with subsequent photorelease (catch and release), simultaneous counting and viability determinations of the selected/released cells, and staining/imaging of the cells for immunophenotyping as well as looking for chromosomal abnormalities (FISH). The modules were interconnected to a fluidic motherboard populated with valves, interconnects, pneumatic control channels, and a fluidic network. The SMART-Chip components were made from thermoplastics via micro-replication, which significantly lowered the cost of production making it amenable for clinical implementation. The utility of the SMART-Chip was demonstrated by processing blood samples secured from colorectal cancer patients. We were able to affinity select EpCAM expressing CTCs with high purity (0-3 WBC contaminants/mL of blood), enumerate the selected cells, determine their viability, and immunophenotype them. In the case of CLCs, CD19-expressing B-cells were selected from pediatric patients suffering from acute lymphoblastic leukemia to determined disease recurrence from minimum residual disease. The assays could be completed in <4 h using the SMART-Chip, while manual processing required >8 h.

Bio: Prof. Soper is a Foundation Distinguished Professor in Chemistry and Mechanical Engineering at the University of Kansas. At KUMC, Prof. Soper holds an adjunct appointment in the Cancer Biology Department and is a member of the KU Cancer Center. Prof. Soper has secured extramural funding totaling >$135M, has published over 245 peer-reviewed manuscripts (h index = 70; >17,000 citations); 31 book chapters and 71 peer-reviewed conference proceeding papers, and is the author of 12 patents. He is also the founder of a startup company, BioFluidica, which is marketing devices for the isolation and enumeration of liquid biopsy markers. Soper recently founded a second company, Sunflower Genomics, which is seeking to market a new DNA/RNA single-molecule sequencing platform. His list of awards includes Ralph Adams Award in Bioanalytical Chemistry, Chemical Instrumentation by the American Chemical Society, the Benedetti-Pichler Award for Microchemistry, Fellow of the AAAS, Fellow of Applied Spectroscopy, Fellow of the Royal Society of Chemistry, R&D 100 Award, Distinguished Masters Award at LSU and Outstanding Scientist/Engineer in the state of Louisiana in 2001. Finally, Prof. Soper has granted 50 PhDs and 7 MS degrees to students under his mentorship. He currently heads a group of 15 researchers.

Mina Rais-Zadeh

Monday, October 30, 9:45AM – 10:30AM

Name: Mina Rais-Zadeh, Ph.D.

Presentation Title: MEMS and Microsystems for Space Environment

Abstract: Extreme environments seen in Space pose challenges for current technologies. Both extreme temperature, temperature swings, and high radiation place great demands on instrumentation, and deployment in these environments requires additional mass and power to maintain operational conditions. As the cost of the mission is directly related to the size and weight of the instrument, there is a great demand for low size, weight, and power (SWaP) harsh environment tolerant instruments for space applications. III-N materials are more robust than Si in these environments. Wide bandgaps allow electronic functionality to higher temperatures, and greater bond strengths result in robustness to radiation displacement damage as well as reduced degradation in reactive environments. These superior properties in demanding environments relaxes requirements on protection, freeing more mass and power for instruments (or allowing mass/power reduction for the spacecraft). In this talk, I will present harsh environment tolerant devices and microsystems based on III-V materials that we have developed for various planetary missions.

Biography: Mina Rais-Zadeh received the B.S. degree in electrical engineering from Sharif University of Technology and M.S. and Ph.D. degrees both in Electrical and Computer Engineering from Georgia Institute of Technology in 2005 and 2008, respectively. From 2008 to 2009, she was a Postdoctoral Research Fellow at Georgia Institute of Technology. In 2009, she joined the University of Michigan, Ann Arbor, as an Assistant Professor of Electrical Engineering and Computer Science (EECS). From 2014-2018 she had been a tenured Associate Professor in EECS with courtesy appointment in the Department of Mechanical Engineering. She is currently leading the MEMS and micro-instrument development activity at the Jet Propulsion Laboratory as a group supervisor for the Advanced Micro-sensors and Microsystems Group.

Michael Khonsari

Tuesday, October 31, 9:15AM – 10:00AM

Name: Michael Khonsari

Presentation Title: A Unified Approach for Analysis of Machinery Degradation

Abstract: Engineers are constantly confronted with the challenging problem of dealing with material degradation and predicting the remaining useful life of machines. Material degradation can be in the form of wear, fatigue, fretting, corrosion, erosion, creep, etc. These dissipative processes involve a variety of complex and physically diverse phenomena that often occur in an inextricably intertwined fashion. Although often treated as separate phenomena, they are a manifestation of the same physics associated with material degradation that causes disorder. Therefore, notwithstanding the multiplicity of underlying dissipative processes involved, they all share one unique feature: they all produce entropy. Therefore, thermodynamic entropy production is believed to be a useful measure for assessing material degradation. In this talk, I present the results of a series of recent experimental and analytical development associated with surface degradation, such as wear and fatigue fracture within the framework of irreversible thermodynamics. This view offers a potentially useful path forward for developing predictive methodologies for various applications.

Biography: Michael Khonsari earned his B.S., M.S., and Ph.D. in Mechanical Engineering from The University of Texas at Austin. He holds the Dow Chemical Endowed Chair and Professor of Mechanical Engineering at Louisiana State University (LSU). Before joining LSU, he was a faculty member at The Ohio State University, University of Pittsburgh, and Southern Illinois University. Professor Khonsari has authored 3 technical books in tribology, fatigue, and rotor dynamics and over 440 archival papers, including book chapters and special publications. He is the recipient of several research awards, including the ASME Mayo Hersey Award, Burt Newkirk Award, the STLE Presidential Award, ALCOA awards for his contributions to tribology. He is the director of NSF Center for Innovations in Structural Integrity Assurance (CISIA), a university-industry-government cooperative center. Professor Khonsari is a fellow of ASME, The Society of Tribologists and Lubrication Engineers (STLE), the American Association for the Advancement of Science (AAAS), and the National Academy of Inventors (NAI).

Dr. Mihan H. McKenna Taylor

Wednesday, November 1, 2023, 9:45AM – 10:30AM

Name: Dr. Mihan H. McKenna Taylor

Co-Sponsored by the Congress-Wide Symposium on Nondestructive Evaluation (NDE) & Structural Health Monitoring (SHM)

Presentation Title: Persistent Engineer Intelligence

Abstract: Engineer Intelligence is engineering information which has been evaluated as to its accuracy and reliability and accepted as fact, related to specific activities, and used to plan operations or construction activities. Though generally understood to be discrete analyses tied to a specific time and place, in reality, the status of the physical environment is under constant flux to due to human activity and the effects of weather and other natural disasters. This constant flow of changes drives the requirement for engineer intelligence to be continually updated and reassessed and necessitates rephrasing this concept to Persistent Engineer Intelligence. As such, Engineer Intelligence Systems become the combination of environmental data sets, analyzed information, assessments, planning tools, and programs, all of which is used to support the breadth of engineer operations. Many activities in the civilian realm have equivalents to military tasks and the era of real-time data from smart infrastructure positions the civilian infrastructure owner at the forefront of implementation of persistent engineer intelligence for civilian infrastructure systems. This presentation will explain the history of the Army Engineer, the concept of Persistent Engineer Intelligence, analogues between civilian and military roles, and the critical role that Big Data will play in all future engineer tasks.

Biography: Recipient of the 2013 USACE Researcher of the Year award for innovative remote monitoring of structures, Dr. McKenna Taylor specializes in bringing reality to intelligent decision making. She leads multi-disciplinary near-surface phenomenology research to create adaptive, effective, and revolutionary tools and scientific programs to shape future operational environments, including terrain shaping and near-surface persistent surveillance. More: Using geophysics and geotechnical engineering to proactively manipulate and assess the near-surface interface, she executes and fosters research to meet multi-domain threat assessment and maneuver goals, through high-performance computing simulations, analytical analysis, and laboratory and field experimentation, with applications for both civil and military end-users across multiple Department of Defense (DoD), federal, intelligence and academic communities. Dr. McKenna Taylor is the Co-Chair of the National System for Geospatial Intelligence (NSG) Artificial Intelligence, Automation, Augmentation Working Group, (AAA WG) and serves as the Basic Research 6.1 Advisor for the ERDC Adaptive Protection, Maneuver, Geospatial, and Natural Sciences Research Portfolio. Dr. McKenna Taylor is the author of numerous journal articles, technical reports, and other publications on a wide variety of geophysical and geotechnical topics. Dr. McKenna Taylor holds a B.S. in Physics with a Chemistry minor from Georgetown University (1999) and a Ph.D. in Geophysics from Southern Methodist University (2005). She is a Certified Professional Geologist (#11410) from The American Institute of Professional Geologists (AIPG) and a Registered Professional Geologist in the state of Alaska (#661). Dr. McKenna is actively involved in the Military Sensing Symposiums (Battlefield Acoustics, Magnetic, and Seismic/Electromagnetics), as well as the American Geophysical Union and the Acoustical Society of America. Prior to joining ERDC in 2005, and while pursuing her Ph.D, Dr. McKenna Taylor taught Geophysics and Geology at Southern Methodist University (SMU) in Dallas, Texas (1999-2005), and conducted research in support of the Comprehensive Nuclear Test Ban Treaty. She is currently an adjunct professor in the Huffington Department of Geological Sciences at SMU and the Civil and Environmental Engineering Department of Mississippi State University.