Penn Engineering Events

MEAM Ph.D. Thesis Defense: "Coarse-graining of Atomistic Models to the Continuum Scale with Applications to Elastodynamics and Diffusive Processes"
2019-05-23 14:00 - 15:00 (America/New_York) | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their modeling and simulation faces a strong compromise between physical fidelity and computational efficiency, with atomistic simulations and continuum descriptions lying towards the two ends of this spectrum.
In this dissertation we will first revisit several continuum modeling strategies for the formulation of nonequilibrium evolution equations, and show by means of an example, inconsistencies that can arise between the various formalisms. This example will serve as a motivation for developing coarse-graining strategies that can directly link atomistic and continuum models in the context of reversible and irreversible evolutions. With regard to reversible phenomena, we will present an upscaling scheme that provides a new angle to the classical thermodynamic description of the elastodynamics of solids at finite temperature as the spatio-temporal continuum limit of atomistic Hamiltonian dynamics. This scheme identifies suitable macroscopic (slow) variables and provides its effective equations of motion via elimination of the fast degrees of freedom in the limit of infinite time/space scale separation. In addition, it provides highly intuitive mathematical explanations to various well-known thermodynamic relations. For purely irreversible processes, a novel coarse-graining strategy is proposed that numerically delivers the entire continuum evolution equation (and not just parameters therein) from particle fluctuations via an infinite-dimensional fluctuation-dissipation relation. The methodology is exemplified for a diffusion process with known analytical solution, where an excellent agreement is obtained for the density evolution. Finally, as an outlook, data-driven techniques are explored to gain understanding in irreversible structural transformations in colloidal crystallites.

Penn Engineering Undergraduate Commencement Ceremony
2019-05-18 14:00 - 16:00 | Palestra, 223 South 33rd Street, Philadelphia, PA, 19104, United States
Doors open for guest seating at 1:30 p.m. Access livestream here.

Penn Engineering Master’s Commencement Ceremony
2019-05-17 15:30 - 17:30 | Palestra, 223 South 33rd Street, Philadelphia, PA, 19104, United States
Doors open for guest seating at 3:00 p.m. Access livestream here.

Penn Engineering Doctoral Commencement Ceremony
2019-05-16 15:30 - 16:30 | Irvine Auditorium, 3401 Spruce Street, Philadelphia, PA, 19104, United States
Doors open for guest seating at 3:00 p.m.

MEAM Seminar: "Tribofilms at the Asperity Scale"
2019-05-15 14:00 - 15:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
The presentation will start with an introduction to tribology. This term was first used in a 1965 UK government report which identified the economic loss due to preventable wear and poor friction performance. It helped bring together the diverse community of engineers and scientists that need to collaborate in order to tackle the complex interactions that are central to friction and wear processes. The introduction will conclude with a brief overview of lubricant technology and the associated scope of research themes that support development of new lubricants.
The core topic will cover recent advances in our understanding of the formation of the lubricant generated boundary or tribofilms that help control friction and wear processes. Our approach has been to develop new methods and tools that allow us to study the interaction of materials, surface morphology, stress and chemical reactivity at the asperity scale within macro scale lubricated rough surface sliding contacts. Highly detailed surface topography, surface elemental analysis and rough surface contact simulation results, obtained from carefully controlled wear experiments, have been mapped onto common asperity scale grids. The results clearly establish that tribofilms initiate very quickly at localized high stress contact spots within the overall macro scale contact footprint. Complementary work in high stress but well separated sliding contacts shows that direct surface contact is not necessarily required to generate surface films. Both sets of experimental results are consistent with stress augmented surface reaction mechanisms that are now being studied by multiple researchers in this field. These developments have shed considerable light on mechanisms that have been elusive for more than 50 years which are key to the performance of lubricants.
Finally some thoughts on future challenges in tribology and lubrication will be offered. A recent study sponsored by the Society of Tribologists and Lubrication Engineers (STLE) has identified key science and technology, industry, regulatory and global trends that will impact lubrication and tribology. These include increasing electrification of personal vehicles, new and emerging energy sources and the role that tribology plays in enabling new technology development.

2019 Warren Center Meet and Greet
2019-05-15 13:00 - 18:00 | Room 401B, 3401 Walnut, 3401 Walnut Street, Philadelphia, PA, 19104, United States
1:00-1:20pm- Coffee and Snacks
1:20-1:30pm- Michael Kearns, Opening Remarks
1:30-1:40pm- Victor Amelkin, “Strategic Formation and Resilience of Supply Chain Networks”
1:40-1:50pm- Tom Baker, “Cyber Insurance”
1:50-2:00pm- Bhuvnesh Jain, “Black Holes and Other Dark Matters”
2:00-2:10pm- Aaron Roth, “Individual Statistical Fairness in Machine Learning”
2:10-2:20pm- Matt Killingsworth, “Human Happiness in High Resolution”
2:20-2:30pm- Hamsa Bastani, “Mitigating Environmental and Social Harm through Transshipment Bans”
2:30-2:40pm- Amit Gandhi, “Machine Learning of Optimal Instruments for Causal Inference”
2:40-2:50pm- Damon Centola, “Network Dynamics of Category Formation”
2:50-3:10pm- Coffee Break
3:10-3:20pm- Michael Kearns, “Behavioral Experiments in Subjective Fairness”
3:20-3:30pm- Jason Moore, “Accessible AI for Data Science”
3:30-3:40pm- Richard Berk, “Almost Politically Correct Criminal Justice Risk Assessment”
3:40-3:50pm- Chris Callison-Burch, “A Data-Driven Analysis of Workers’ Earnings on Amazon Mechanical Turk”
3:50-4:00pm- Ron Berman, “Profit Maximizing A/B Tests”
4:00-4:10pm- Brett Hemenway, “Securely Computing Statistics on Federated Data Sets”
4:10-4:20pm- Cyrille Doux, “Is It Two Galaxies or One? Deep Galaxy Surveys and Bayesian Neural Networks”
4:20-4:30pm- George Mailath, “The Wisdom of the Confused Crowd: Model-Based Inference”
4:30pm- Reception

ESE Seminar: ERI: Creating Inflections in the Trajectory of Semiconductors
2019-05-14 11:00 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
The government is spending 1.5 billion dollars over 5 years to create a more secure, specialized and highly automated electronics industry. This talk will describe the current programs and the motivation for the initiative.

ESE & GRASP Seminar: "Efficient Computing for AI and Robotics"
2019-05-09 11:00 - 12:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
Computing near the sensor is preferred over the cloud due to privacy and/or latency concerns for a wide range of applications including robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. However, at the sensor there are often stringent constraints on energy consumption and cost in addition to the throughput and accuracy requirements of the application. In this talk, we will describe how joint algorithm and hardware design can be used to reduce energy consumption while delivering real-time and robust performance for applications including deep learning, computer vision, autonomous navigation/exploration and video/image processing. We will show how energy-efficient techniques that exploit correlation and sparsity to reduce compute, data movement and storage costs can be applied to various tasks including image classification, depth estimation, super-resolution, localization and mapping.

Doctoral Dissertation Defense: "Automated analysis of experience-dependent sensory response behavior in Caenorhabditis elegans"
2019-05-09 10:30 - 12:30 | Moore 212
The Department of Bioengineering at the University of Pennsylvania and Dr. Christopher Fang-Yen are pleased to announce the Doctoral Dissertation Defense of Patrick McClanahan.

Title: Automated analysis of experience-dependent sensory response behavior in Caenorhabditis elegans

Date: Thursday, May 9th, 2019
Time: 10:30 AM
Location: Moore 212

The public is welcome to attend

PSOC Spring 2019 Seminar Series: Parag Mallick, Ph.D.
2019-05-06 12:00 - 13:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States

MEAM Seminar: "Fault-Tolerant Control on VTOL Aircraft"
2019-04-30 10:30 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
High-speed rotorcraft such as coaxial compound helicopters have a significant degree of control redundancy that can be exploited to minimize power requirement, noise, and vibration, in various flight conditions. This lecture focuses on a new idea – how control redundancy can be leveraged to compensate for control actuation failure. Both adaptive as well as robust strategies are examined, and operation post-failure is demonstrated via simulation. Multi-copters with greater than four rotors (hexacopters, octocopters, etc.), also offer control redundancy, allowing for safe operation post-failure by using the remaining (uncompromised) rotors. The lecture will examine the kind of failures that can be compensated on classical hexacopters and octocopters, along with the changes in rotor operational speed requirements, and the associated physics, post-failure.

PICS Seminar: "Impact of Non-Native Structures in Ionic Liquid-Ionic Liquid Mixtures on Phase Equilibria Properties of Gases"
2019-04-26 14:00 - 15:00 | Raisler Lounge (Room 225), Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
Ionic liquids are substances that are composed entirely of ions. Negligible vapor pressures and the availability of a large number of cations and anions to tune physicochemical and biological properties for a given chemical process have been the primary drivers for research in this field over the last two decades. Majority of these investigations have focused primarily on elucidating changes in the properties of pure ionic liquids by altering the cation, anion or substituents on the ions. Another approach to expand the range of available ionic liquids is to form ionic liquid-ionic liquid mixtures. From a thermodynamic point of view, the knowledge of the extent of non-ideality in these binary ionic liquid mixtures and the molecular level details enable a priori prediction of thermophysical properties of ionic liquid mixture. In this presentation, we will demonstrate that the difference in the molar volume of the ionic liquids forming the mixture and the difference in the hydrogen bonding ability of the anions can serve as metrics for the prediction of non-ideality in the binary ionic liquid systems. Such non-idealities are quantified in terms of the local structural organization of anions around the cation. We will further highlight that these non-native structures lead to a different dissolution mechanism for CO2 in mixtures in comparison to that for pure ionic liquids although the CO2 solubilities obey apparent ideal mixing rule. On the other hand, an examination of NH3 solubility in binary ionic liquid mixtures reveals a non-ideal NH3-solubility behavior.

Doctoral Dissertation Defense: "Miniaturizing High Throughput Droplet Assays for Ultrasensitive Molecular Detection on a Portable Platform"
2019-04-25 13:15 - 15:15 | Greenberg Lounge (Room 114), Skirkanich Hall, 210 South 33rd Street, Philadelphia, PA, 19104, United States
The Department of Bioengineering at the University of Pennsylvania and Dr. David Issadore are pleased to announce the Doctoral Dissertation Defense of Venkata “Ravi” Yelleswarapu.

The public is welcome to attend.

CBE Seminar: "Effects of Polarity, Solvation, and Interfacial Polarization on Charge-driven Assembly"
2019-04-24 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States

ESE Seminar: "Connecting Bits to the Physical World"
2019-04-23 11:00 - 12:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
Analog, RF and power integrated circuits are the key connectors between the physical world and the digital or cyber world. In this talk I will give my perspective on broader research trends in analog integrated circuit design research and illustrate several of these trends with results from my research group. The analog circuit design discipline emerged in conjunction with electronics and as such has many decades of history. At the same time, electronics are constantly undergoing tremendous changes. In recent decades the key platform for integrated circuits has been CMOS. Under the impetus of Moore’s Law, CMOS transistors have scaled by orders of magnitude, which drove the necessity of a constant rejuvenation of analog design techniques. Innovations in analog design are an intricate interplay between novel devices, novel circuit paradigms and novel signal processing. Recently we have been experiencing a shift from traditional analog-to-digital conversion, to analog-to-information conversion (based on compressive sampling), and now to analog-to-feature conversion. This is an example of a top-down shift driven by changing application needs, in particular emerging machine-learning systems. Scaling transistors does not only allow for higher system integration, but also enables significant power reductions. Combining advanced transistors with novel circuit design paradigms encoding analog information in the time domain makes it now possible to design integrated circuits that require less than 1nanoW to operate. These innovations, in turn, create bottom-up opportunities for entirely new classes of systems, e.g., for the Internet of Things.

MEAM Seminar: "Data-driven Discovery of Governing Physical Laws in Engineering, Physics, and Biology"
2019-04-23 10:30 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
A major challenge in the study of dynamical systems is that of model discovery: turning data into models that are not just predictive, but provide insight into the nature of the underlying dynamical system that generated the data. This problem is made more difficult by the fact that many systems of interest exhibit parametric dependencies and diverse behaviors across multiple time scales. We introduce a number of data-driven strategies for discovering nonlinear multiscale dynamical systems and their embeddings from data. We consider two canonical cases: (i) systems for which we have full measurements of the governing variables, and (ii) systems for which we have incomplete measurements. For systems with full state measurements, we show that the recent sparse identification of nonlinear dynamical systems (SINDy) method can discover governing equations with relatively little data and introduce a sampling method that allows SINDy to scale efficiently to problems with multiple time scales and parametric dependencies. Specifically, we can discover distinct governing equations at slow and fast scales. For systems with incomplete observations, we show that the Hankel alternative view of Koopman (HAVOK) method, based on time-delay embedding coordinates, can be used to obtain a linear model and Koopman invariant measurement system that nearly perfectly captures the dynamics of nonlinear quasiperiodic systems. We introduce two strategies for using HAVOK on systems with multiple time scales. Together, our approaches provide a suite of mathematical strategies for reducing the data required to discover and model nonlinear multiscale systems.

PSOC Spring 2019 Seminar Series: Shreyas Rao , Ph.D.
2019-04-22 12:00 - 13:00 | Room 337, Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States

PICS Seminar: "Topology, Geometry, and Fracture in Networked Materials: A Tale of Scales"
2019-04-19 14:00 - 15:00 | Raisler Lounge (Room 225), Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
The skeleton of many natural and artificial structures may be abstracted as networks of nonlinearly interacting elements. Examples include rubber, gels, soft tissues, and lattice materials. Understanding the multiscale nature of deformation and failure of networked structures hold key for uncovering origins of fragility in many complex systems including biological tissues and enables designing novel materials.
I will start by an overview of our prior work on modeling polymer chains with sacrificial bonds and hidden length; a topological feature that was previously hypothesized to be responsible for increased toughness and fracture resistance in animal bone. Our model combines nonlinear entropic elasticity with transition state theory for bond breakage and formation to predict rate dependence and time dependent healing in these systems in the quasi-1D limit. I will then introduce an extension of this model to a discrete 2D setting (at the scale of 10s of microns) that enables exploring interplay of topological and geometrical features such as coordination number, cross linking density, and disorder with mechanical deformation and fracture. Specifically, we identify a non-monotonic rate dependence of the reaction force and dissipated energy as well as a transition in mode of failure from diffusive to localized with increased pulling rate. Furthermore, we show that networks with small-world architectures, balancing clustering and average path length, may lead to an optimum fracture toughness.
To generalize our results to larger scales relevant for engineering and material science applications, I will discuss our recent efforts in adopting an extended version of the Quasi-Continuum (QC) method to studying polymer networks across scales. In regions of high interest, for example near defects or cracks, each polymer chain is idealized using the worm like chain model. Away from these imperfections, the network structure is computationally homogenized, using Hill-Mandell’s principle, to yield an anisotropic material tensor consistent with the underlying network structure. Dynamic adaptivity provides a seamless transition across the two models. Overall, the proposed method provides a multi-resolution capability by retaining explicit representation of small scale heterogeneities and topological features, where they matter near the crack tips, while still accurately accounting for bulk elasticity and loading. We show several examples verifying our approach and illustrate the potential of the method for testing the influence of small scale features in controlling the macroscopic response. We discuss the implications of our findings for the analysis and design of tough networks.

CBE Seminar: "Lipid-like Materials for RNA Delivery: A How-to Guide for Hacking Gene Expression"
2019-04-17 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States

MEAM/MSE Special Seminar: "Scalable Functional Phase Change Materials for Displays and Photonic Non-von Neumann Computing"
2019-04-17 11:00 - 12:00 | Reading Room, LRSM, 3231 Walnut Street, Philadelphia, PA, 19104, United States
In electronics, doping silicon results in one of the most versatile functional materials ever employed. The pursuit of such functional materials in the optical domain is an area of great interest in the photonics community. I hope to convince you that whatever route photonics takes, a class of materials known as phase change materials, will play a key role in its commercialization. These materials can be addressed electrically, and whilst this can be used to control optical signals on photonic circuits this can also be used to create displays and smart windows. In this talk, I hope to give an overview of these applications of these materials with a view towards their near-term applications in displays, and their longer-term potential in integrated photonic memories to photonic machine-learning hardware components, with a few of our recent results in this area.

MEAM Seminar: "Wrinkles, Spaghetti, and Knots"
2019-04-16 10:30 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Buckling, twisting and fracture are ubiquitous phenomena that, despite having been studied for centuries, still pose many interesting conceptual and practical challenges. In this talk, I will summarize recent theoretical and experimental work that aims to understand the role of curvature and torsion in wrinkle pattern selection, fragmentation cascades and knots. First, we will show how changes in curvature can induce phase transitions and topological defects in the wrinkling patterns on curved elastic surfaces. Thereafter, we will revisit an observation by Feynman who noted that dry spaghetti appears to fragment into at least three (but hardly ever two) pieces when placed under large bending stresses. Using a combination of experiments, simulations and analytical scaling arguments, we will demonstrate how twist can be used to control binary fracture of brittle elastic rods. Finally, in the last part, we will try to shed some light on how topology and torsion affect the stability of knots.

The Joy of Being Faculty: How I Devised My Research Program
2019-04-12 16:00 - 17:00 | Heilmeier Hall (Room 100), Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
This professional development workshop is designed to provide Penn Engineering graduate students and postdocs with a richer understanding of what it is like to pursue a career in academia from those that have navigated the process successfully.
Deputy Dean Kathleen J. Stebe (SEAS) will lead this extemporaneous panel discussions with a mix of both tenured and tenure-track professors from Penn Engineering.

CIS Seminar: " Deep Learning for Network Biomedicine"
2019-04-11 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Abstract:

Large datasets are being generated that can transform biology and medicine. New machine learning methods are necessary to
unlock these data and open doors for scientific discoveries. In this talk, I will argue that, in order to advance science,
machine learning models should not be trained in the context of one particular dataset. Instead, we should be developing
methods that can integrate rich, heterogeneous data and knowledge into multimodal networks, enhance these networks to reduce
biases and uncertainty, and learn over the networks.

My talk will focus on two key aspects of this goal: deep learning and network science for multimodal networks. I will first
show how we can move beyond prevailing deep learning methods, which treat network features as simple variables and ignore
interactions between entities. Further, I will present an algorithm that learns deep models by embedding multimodal networks
into compact embedding spaces whose geometry is optimized to reflect the interactions, the essence of multimodal networks.
These deep models set sights on new frontiers, including the prediction of protein functions in specific human tissues,
modeling of drug combinations, and repurposing of old drugs for new diseases. Beyond such predictive ability, a hallmark of
science is to achieve a holistic understanding of the world. I will discuss how we can blend network algorithms with rigorous
statistics to harness biomedical networks at the scale of billions of interactions. These methods revealed, among others, how
Darwinian evolution changes molecular networks, providing evidence for a longstanding hypothesis in biology. In all studies, I
collaborated closely with experimental biologists and clinical scientists to give insights and validate predictions made by our
methods. I will conclude with future directions for contextual models of rich interaction data which open up new avenues for science.

MSE Seminar: "Nanoscience and Quantum Information Science at the Center for Functional Nanomaterials, a National Scientific User Facility"
2019-04-11 10:45 - 11:45 | Auditorium, LRSM Building, 3231 Walnut Street, Philadelphia, PA, 19104, United States

CBE and Physics Joint Seminar: "Structuring Matter Over Multiple Length Scales Using the Self-assembly of Colloidal Particles"
2019-04-10 16:00 - 17:00 | David Rittenhouse Lab, A4, 209 South 33rd Street, Philadelphia, PA, 19104, United States

2019 Heilmeier Lecture: "Cell-Matrix Interactions in Cancer and Fibrosis: Multiscale Chemo-Mechanical Models"
2019-04-10 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Cell invasion into the surrounding matrix from nonvascularized primary tumors is the main mechanism by which cancer cells migrate to nearby blood vessels and metastasize to eventually form secondary tumors. This process is mediated by an intricate coupling between intracellular forces and extracellular forces that depend on the stiffness of the surrounding stroma and the alignment of matrix fibers. A multiscale model is used to elucidate the two-way feedback loop between stress-dependent cell contractility and matrix fiber realignment and strain stiffening, which enables the cells to polarize and enhance their contractility to break free from the tumor and invade into the matrix. Importantly, Dr. Shenoy’s model can be used to explain how morphological and structural changes in the tumor microenvironment, such as elevated rigidity and fiber alignment prior to cell invasion, are prognostic of the malignant phenotype. The model also predicts how the alignment of matrix fibers can recruit macrophages, which are among the first responders of the innate immune system following organ injury and are crucial for repair, resolution, and re-establishing homeostasis of damaged tissue. In this talk, Shenoy will discuss how the deformation of the nucleus during migration can lead to changes in the spatial organization of chromosomes and their intermingling which can result in genetic mutations and genomic instability. He will also discuss how targeting extracellular matrix mechanics, by preventing or reversing tissue stiffening or interrupting the cellular response in cancer and fibrosis, is a therapeutic approach with clinical potential.

CIS Seminar: "Towards a New Synthesis of Reasoning and Learning"
2019-04-09 15:00 - 16:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
This talk discusses the role of logical reasoning in statistical machine learning. While their unification has been a long-standing and crucial open problem, automated reasoning and machine learning are still disparate fields within artificial intelligence. I will describe recent progress towards their synthesis in three facets.
I start with a very practical question: how can we enforce logical constraints on the output of deep neural networks to incorporate symbolic knowledge? Second, I explain how circuits developed for tractable logical reasoning can be turned into statistical models. When brought to bear on a variety of machine learning tasks, including discrete density estimation and simple image classification, these probabilistic and logistic circuits yield state-of-the-art results. In a third facet, I argue for high-level representations of uncertainty, such as probabilistic programs, probabilistic databases, and statistical relational models. These pose unique challenges for inference that can only be overcome by high-level reasoning about their first-order structure to exploit symmetry and exchangeability.

MEAM Seminar: "Integrating Manufacturing and Topological Optimization for the Design of Architected Materials and Components"
2019-04-09 10:30 - 12:00 | Wu and Chen Auditorium (Room 101), Levine Hall, 3330 Walnut Street, Philadelphia, PA, 19104, United States
Topology optimization has long been touted as a powerful tool capable of discovering innovative solutions to engineering design problems. It has been used to design ‘structures’ characterized at a range of length scales, from tens of microns (material architectures) to decameters (structures), for performance properties governed by a range of physics. Despite its tremendous potential as a design tool, topology optimized solutions are typically suboptimal when considering real-world operating conditions, design objectives, and manufacturing processes, and thus may require significant post-processing and re-design which is both detrimental and time consuming. This talk will review the topology optimization methodology and discuss our efforts at overcoming these shortcomings, with a particular emphasis on providing the design engineer geometric control to enable design for manufacturability. Several design examples will be presented including architected materials, components and devices that are fabricated through additive manufacturing, machining or 3D weaving, and optimized for mechanical, fluidic, and/or thermal properties.

Doctoral Dissertation Defense: "Hyperpolarized Carbon-13 Magnetic Resonance Imaging as a Tool for Assessing Lung Transplantation Outcomes"
2019-04-08 13:00 - 15:00 | PA
The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Sarmad Siddiqui.

The public is welcome to attend.

Location: Donner Auditorium, Basement HUP.

The Joy of Being Faculty: How to Apply for a Faculty Position
2019-04-05 16:00 - 17:00 | Heilmeier Hall (Room 100), Towne Building, 220 South 33rd Street, Philadelphia, PA, 19104, United States
