Category: Past Seminars

 

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Design for Additive Manufacturing – from pure complexity to multi-functionality
Published: September 27, 2021

https://s.uconn.edu/meseminar10/15/21 Abstract: Since Additive Manufacturing (AM) processes can fabricate complex part shapes and material compositions, it released significant amount of freedom for designers to design innovative products. In general, parts that are good candidates for AM tend to have complex geometries, low production volumes, special combinations of properties or characteristics. Most of existing design methods […]

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Emergence of Biotechnology Platforms During COVID-19: A Lesson in Modern Biology
Published: September 23, 2021

http://s.uconn.edu/meseminar10/8/21 Abstract: The COVID-19 pandemic has accelerated the development and manufacturing of vaccines at an unprecedented speed. This has been enabled by the emergence of biotechnology platforms such as mRNA and Viral Vectors. In this seminar, I will outline the engineering aspects of such platforms and the modern biology behind their evolution. Biographical Sketch: Dr. […]

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A Methodical Approach to System Architecture
Published: September 23, 2021

http://s.uconn.edu/meseminar10/1/21 Abstract: The development of aerospace products suffers from chronic cost and schedule overruns and derivative designs, while innovative products are needed on time and on budget.  We’ll examine the primary failure modes of conventional system-architecting practice that have led to these symptoms and how to avoid them.  We’ll consider how to answer the 5 […]

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Mechanical Safety of Lithium-ion batteries for Electric Vehicle Applications
Published: September 16, 2021

http://s.uconn.edu/meseminar9/24 Password: 1234 Abstract: Lithium-ion batteries have been used extensively in the past decade in a variety of applications from portable devices to airplanes and electric vehicles. Battery packages used in electric vehicles experience dynamic loadings, shocks, and large deformations during normal operation as well as in a crash scenario. It is of paramount importance […]

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Leverage Machine Learning and Simulation for Polymer Screening and Design
Published: September 13, 2021

http://s.uconn.edu/meseminar9/17/21 Abstract: Developing polymers with desirable properties has historically relied on trial-and-error, which can take long time, and there is no guarantee of success. Machine learning has become an integral part of materials design, and it can potentially impact polymer development in a positive way. However, the lack of open-source data has impeded the development […]

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The role of first principles in problem solving in the “AI” era
Published: September 1, 2021

http://s.uconn.edu/meseminar9/10/21 Abstract: It is commonly believed that understanding, building, and controlling complex engineering systems require data-driven methods beyond first principles. Often these methods are boasted as “AI”. Yet data-driven methods are known to lack risk certification, i.e., we don’t have principled knowledge about when they will fail or how badly if they do. This challenge […]

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Artificial intelligence for structural materials design and manufacturing
Published: April 16, 2021

http://s.uconn.edu/meseminar4/23/21 Abstract: After billions of years of evolution, it is no surprise that biological materials are treated as an invaluable source of inspiration in the search for new materials. Additionally, developments in computation spurred the fourth paradigm of materials discovery and design using artificial intelligence. Our research aims to advance design and manufacturing processes to […]

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Soft materials for soft machines
Published: April 5, 2021

http://s.uconn.edu/meseminar4/9/21 Abstract: Soft machines are transforming the fields of robotics and biomedical devices in that they are capable of sustaining large deformation and interacting safely with human beings. Soft active materials can change their shapes or volumes in response to external stimuli, such as light, heat and electric fields, and are important building blocks of […]

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Dr. Peyman Givi: PW Distinguished Lecture: Turbulent Combustion Computation in the Age of Big Data and Quantum Information
Published: March 23, 2021

http://s.uconn.edu/meseminar4/2/21 Abstract: We are in the midst of experiencing both the Big Data Revolution and the emergence of the Second Quantum Revolution. The amount of data available is doubling yearly, and artificial intelligence (AI), in particular machine learning (ML) methods are playing an increasingly important role in analyzing this data and using it to deduce […]

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Microneedle technology for drugs, devices and diagnostics
Published: March 12, 2021

http://s.uconn.edu/meseminar3/26/21 Abstract: Microneedles enable minimally invasive access to the body interior. This access can be used to administer drug formulations to precise locations in the skin or the eye, and can be used to access interstitial fluid in the skin. Three applications of microneedle technology will be discussed. Our first project is motivated by the […]

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Opportunities and Support for the BME Research Community from NSF
Published: March 12, 2021

http://s.uconn.edu/meseminar3/19/21 Abstract: The National Science Foundation (NSF) supports work in all fields of science and engineering, including biomedical engineering. That said, biomedical engineering researchers can face challenges in finding the right ‘home’ and scope for their work at NSF. This presentation will provide a broad overview of the mission of NSF and how it relates […]

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Coherent-vorticity Preserving (CvP) Dynamic Modeling of High-Reynolds-Number Vortex Dominated Flows
Published: February 26, 2021

https://s.uconn.edu/meseminar3/12 Abstract: This talk will discuss a novel dynamic subgrid-scale (SGS) modeling approached called Coherent-vorticity Preserving (CvP) Eddy-Viscosity Correction [1], which has been designed for very rapid evaluation of the SGS vortical activity, enabling local and instantaneous modulation of the turbulent eddy viscosity. The CvP-LES approach has been validated against large-scale direct-numerical simulation (DNS) employing […]

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LES of lean-burn combustors: modelling perspectives and prediction of unsteady phenomena
Published: February 26, 2021

https://s.uconn.edu/meseminar3/5 Abstract: Energy demand and the need to reduce emissions have pushed combustion research towards the development of more efficient, environmentally-friendly engines. In lean-burn systems both high efficiency and low emissions can be achieved in principle by controlling the flame temperature; however the short resident times in practical systems and the unsteady coupling between turbulent […]

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Thermodynamic-informed machine learning for polycrystal plasticity
Published: February 22, 2021

https://s.uconn.edu/meseminar2/26/21 Abstract: This talk will present a machine learning framework that builds interpretable macroscopic surrogate elasto-plasticity models inferred from sub-scale direction numerical simulations (DNS) or experiments with limited data. To circumvent the lack of interpretability of the classical black-box neural network, we introduce a higher-order supervised machine learning technique that generates components of elasto-plastic models […]

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Constructing an ab-initio disease spread model to decipher Covid-19 type pandemics
Published: February 10, 2021

https://s.uconn.edu/meseminar2/19 Abstract: In this talk, we will attempt to address the following two questions concerning Covid-19 type infectious respiratory disease spread:  1. Can we identify the relative importance of the different dominant transmission routes of the SARS-CoV-2 virus? Initially Covid-19 was assumed to spread by large droplets whereas of late the airborne route has been […]

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Performance and Diversity-driven Generative Adversarial Networks for Engineering Design Applications
Published: February 10, 2021

  https://s.uconn.edu/meseminar Abstract: Modern machine learning techniques, such as deep neural networks, are transforming many disciplines ranging from transportation to healthcare, by uncovering patterns in big data and making accurate predictions. They have also shown promising results for discovering design ideas, which is crucial for creating new products and enabling innovation. These automated computational design […]

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Engineering Heterogeneous Interfaces in the Proton Exchange Membrane Fuel Cell Catalyst Layer
Published: February 2, 2021

Webex Link:  https://s.uconn.edu/meseminar Abstract: Proton exchange membrane fuel cells (PEMFCs) provide clean and efficient conversion of chemical energy into electrical energy, and fuel cell electric vehicles offer attractive range, weight, and refueling times when compared to similar technologies. However, challenges in infrastructure, performance, durability, and cost hinder wide-spread adoption. PEMFC cost, performance, and durability are […]

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Design for Manufacturing by Geometry- and Physics-based Reasoning
Published: December 1, 2020

Webex Link: http://s.uconn.edu/meseminarf90 Abstract: Modern additive and hybrid manufacturing capabilities provide enormous freedom to leverage by automated design tools (inverse problem solvers), while putting increasing demands on simulation and analysis tools to evaluate candidate designs for performance and manufacturability criteria (forward problem solvers). In this talk, I will present a framework for design optimization, manufacturability analysis, […]

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Structural and Mechanical Inhomogeneity in Arterial ECM: Implications for Physiology and Disease
Published: November 9, 2020

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 […]

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Advances in Data Analytics for IoT Enabled Smart and Connected Systems
Published: November 2, 2020

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 […]

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