CRISPR is a gene editing technique that allows researchers to quickly and precisely edit genome sequences. Beyond gene editing, CRISPR-Cas systems can be repurposed as a programmable platform for other various applications. In this talk, I will introduce how we use CRISPR technology to program microfluidic devices for DNA detection, DNA computing and digital display. […]
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Abstract: For decades, we have built software by writing code, but in recent years machine learning has emerged as a new approach to create software with features that would be impossible to code by hand. However, the use of learning to build software risks ignoring some of the lessons we have learned for how to […]
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Abstract: Precise control of structural parameters through nanoscale engineering to improve optical and electronic properties of functional nanomaterials continuously remains an outstanding challenge. Previous work on nanoparticle synthesis and assembly has been conducted largely through solution chemistry at ambient pressure and relies on specific chemical or physical interactions such as van der Waals interactions, dipole-dipole […] |
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Legged robots, robotic manipulators, and their combined embodiment as humanoid robots have received considerable attention across both academia and industry. However, with few notable exceptions, state-of-the-art demonstrations are significantly less dynamic than their biological counterparts. A considerable challenge towards achieving more dynamic robots lies within controlling contact interactions with their environment. Legged robots undergoing impacts […]
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EHRS staff will discuss how to work safely in the lab while navigating the changing landscape of materials science and engineering research. The talk will also cover; - Standard orientation topics (physical/bio/chem safety, waste disposal, Workday training, etc.) - The new methylene chloride regulations and how they will affect EHRS and Penn operations. - Safe use of […]
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The Department of BIoengineering and Dr. Flavia Vitale proudly announce the Doctoral Dissertation Defense of Sneha Shankar. Details are as follows: Title: "Developing Translational Multimodal Neurotechnology Across Multiple Scales Using Novel Materials And Approaches" Date: September 5th, 2024 Time: 12pm Location: Glandt Forum, Singh Center for Nanotechnology Advisor: Flavia Vitale Zoom option: https://upenn.zoom.us/j/97587304173?pwd=RgyJPz5nLAQMVwc0zR6uBUBbun0d5J.1 The public is welcome […] |
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Fluids confined in nanopores are ubiquitous in nature and technology. In recent years, the interest in confined fluids has grown, driven by research on unconventional hydrocarbon resources -- shale gas and shale oil, much of which are confined in nanopores. When fluids are confined in nanopores, many of their properties differ from those of the […]
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Modern neurotechnologies generate vast and intricate imaging data across multiple modalities, capturing nuanced aspects of brain structure and function in both healthy and diseased states, thus propelling neuroimaging into the 'big data' era. The quantitative analysis of such extensive neuroimaging datasets presents unprecedented opportunities for uncovering novel insights into various neuroscience problems. Machine learning and […] |
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The Department of Bioengineering at the University of Pennsylvania and Dr. Alex Hughes are pleased to announce the Doctoral Dissertation Defense of Catherine Porter. Title: Guided organogenesis using mosaic patterns of progenitors Date: September 11, 2024 Time: 10:00 AM Location: BRB Auditorium Zoom info: Topic: Catherine Porter's Dissertation Defense Time: Sep 11, 2024 10:00 AM […]
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Abstract: Neuroimaging has significantly expanded our understanding of brain changes in neuropsychiatric disorders as well as in aging and neurodegenerative diseases. However, it wasn’t until the advent of machine learning tools that imaging signatures that can be detected in individuals, rather than groups, were constructed. More importantly, imaging signatures derived via machine learning models have […]
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The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt proudly announce the Doctoral Dissertation Defense of Akash Pattnaik. Title: Quantitative Intracranial EEG Methods for Targeted Therapy in Drug-resistant Epilepsy Date: Wednesday September 11 Time: 1:30pm Location: Glandt Forum, Singh Center for Nanotechnology Advisor: Dr. Brian Litt Zoom option: https://upenn.zoom.us/j/93665199428?pwd=kSjDphv31aMk1pfwb2Jp8BZCQetxfY.1 The public […] |
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Materials and chemicals impact daily life, as they enable modern healthcare, preservation of food, and delivering performance and efficiency of transportation and infrastructure. The talk will focus on Dow’s vision and path for carbon neutrality. An overview of Dow Chemical’s portfolio and the breadth of chemistries being practiced will be discussed. Dow has a vision […]
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The Department of Bioengineering at the University of Pennsylvania and Dr. Jacob Brenner proudly announce the Doctoral Dissertation Defense of Serena Omo-Lamai. Title: Mechanistic Elucidation and Amelioration of RNA Lipid Nanoparticle Side Effects for Therapeutic Applications Advisor: Jacob Brenner, MD, PhD Date: Thursday September 12th Time: 2:00pm Location: BRB 1412 Zoom Option Info: Serena Omo-Lamai is inviting you […]
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Algorithms are increasingly tasked with forecasting the probabilities of uncertain events: a creditor repaying a loan, a user clicking an advertisement, or a word appearing next in a stream of text, for example. Such forecasts are trustworthy if their users can be sure they won't regret treating the predicted probabilities as if they were actual […] |
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Structural materials that are damage-tolerant, lightweight, multifunctional, and sustainable are highly desirable for many engineering applications. Such combinations of properties are often found in the biological world. Organisms from nature construct various biological structural materials for protection, predation, body support, camouflage, etc. Despite the fact that these materials are made from limited constituent materials with […]
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As artificial intelligence (AI) transforms industries, state-of-the-art models have exploded in size and capability. However, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones, wearables, and IoT sensors face stringent limitations on compute, memory, power, and communication, creating a gap between demanding AI models and edge hardware capabilities that hinders the deployment […]
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Generative spatial AI offers unprecedented capabilities for photorealistic scene representation, generation, and novel-view synthesis, among other tasks. In this talk, we discuss recent advances in large-scale 3D scene representations, efficient neural rendering approaches, and generative AI strategies that allow us to generate photorealistic multi-view-consistent digital humans and general 3D scenes. |
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Abstract: The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, the translation of these successes to the domain of dynamical physical systems remains a significant challenge. Closing the loop from data to actions in these systems faces many difficulties, stemming from the need for sample efficiency and computational feasibility, along […]
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The Department of Bioengineering at the University of Pennsylvania along with Drs. Brian Litt and Ingo Helbig proudly announce the Doctoral Dissertation Defense of Peter Galer. Title: Quantitative Informatics Approaches to Characterize and Predict Childhood Genetic Epilepsies Date: Wednesday September 18 Time: 1:00pm Location: Glandt Forum, Singh Center for Nanotechnology Advisors: Dr. Brian Litt & Dr. […]
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Despite recent advances in machine learning for robotics, current approaches often lack sample efficiency, posing a significant challenge due to the enormous time consumption to collect real-robot data. In this talk, I will present our innovative methods […] |
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Contact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials to realize effective systems for specialized tasks. However, with advances in smart materials, system design is no longer limited to materials with static properties. There […]
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My group is developing a roadmap for soft actuating materials to replace bulky electric motors in miniature robots requiring large mechanical work output. First, I will describe the materials microstructure and mechanics of polymeric coiled muscles made by twisting nylon fishing lines, and how these actuators use internal strain energy to achieve a “record breaking” performance. Then I […]
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We have recently demonstrated the possibility of learning controllers that are zero-shot transferable to groups of real quadrotors via large-scale, multi-agent, end-to-end reinforcement learning. We train policies parameterized by neural networks that can control individual drones in a group in a fully decentralized manner. Our policies, trained in simulated environments with realistic quadrotor physics, demonstrate […] |
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The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of Kevin Xie. Title: Extracting Insights From Electronic Health Records Using Optimized Large Language Models Date: September 20th, 2024 Time: 9:00 AM Location: Glandt Forum, Singh Center for Nanotechnology Advisor: Dr. Brian Litt Zoom […]
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This will be an in-person event only with in-person attendance in Wu and Chen. This seminar will not be recorded or available on Zoom. Amazon Robotics Tech Talk & Networking Event Amazon Robotics’ Scanless Technologies Team is excited to invite you to join us for a Tech Talk presentation followed by a Networking Event on Friday, 9/20 starting at 10:30am in Wu & Chen […]
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The ASSET and Warren Center will be hosting a research mixer to welcome new PhD students and expose new and current students to the wide range of research in Penn Engineering in AI/ML. The program will consist of (short) faculty talks, poster presentations by students/postdocs, and a reception to end the night! |
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For the past fifty years, researchers of semiconductor technology have felt like walking inside a tunnel. There was a single path forward – two-dimensional down-scaling of device sizes, also referred to as 2D miniaturization. With device features approaching atomic scale, semiconductor technology has reached the exit of this tunnel. The future is bright at the […] |
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Discoveries of unique adhesive and frictional properties in biological attachment systems have, over the past two decades, demonstrated how near-surface architecture at lengths between the molecular (a few nm) and continuum (mm) scales can be used to achieve interesting and unique surface mechanical properties. This has spurred considerable research activity in design of meso-scale, near-surface […] The design and control of dynamical systems have long been core objectives of engineering. In this thesis, we tackle the complexities of design and control across paradigms ranging from Boolean models of genetic networks, to thermally driven stochastic systems, to quantum-mechanical systems. These disparate domains share common challenges, including the large dimensionality of the design […]
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Recent advances in machine learning such as deep learning have led to powerful tools for modeling complex data with high predictive accuracy. However, the resulting models are typically black box, limiting their usefulness in scientific discovery. I will describe an ``interpretable-by-design'' machine learning model capturing a fundamental cellular process known as RNA splicing. Our model […] |
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Most of us think of electricity as a clean and reliable source of energy, which flows out of the plug whenever we need it. The reality is far more complex. The reliability of our electricity supply is increasingly threatened by extreme weather, causing more frequent power outages. The cleanliness of our electricity supply varies greatly […]
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Abstract: Despite efforts to align large language models (LLMs) with human intentions, popular LLMs such as chatGPT, Llama, Claude, and Gemini are susceptible to jailbreaking attacks, wherein an adversary fools a targeted LLM into generating objectionable content. For this reason, interest has grown in improving the robustness of LLMs against such attacks. In this talk, we review the current state of […]
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Locomotion in complex environments (e.g., rubble, leaf litter, granular media) is essential to mobile engineered systems such as robots. Effective locomotion requires complex control strategies to interact with terrain heterogeneity. Computational intelligence (CI), which typically includes rapid […] |
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Light-matter interactions form the fundamental basis for numerous phenomena and processes in optical devices. This talk will cover ultra-high-quality (Q) whispering-gallery-mode (WGM) optical microresonators which have an unprecedented capability to trap light in a highly confined volume smaller than a strand of human hair. Light-matter interactions are significantly enhanced in high-quality WGM resonators, creating the […] |
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The solutions to many of society’s most pressing problems rely on the discovery of materials with unprecedented physical and chemical properties that are tailored to an application of interest. Typically, it is not a matter of incremental improvements over existing technologies; rather, there is often an urgent need to identify new kinds of materials altogether. […] |
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Photonics serves as the backbone of modern information infrastructure, transmitting and processing data at unparalleled speeds with minimal energy consumption by harnessing the inherent parallelism, high-frequency operation, and expansive bandwidths. In the past decade, the surging advancements of artificial intelligence has revolutionized the traditional definition of computing algorithms. By bridging the gap between optical hardware and software-defined functionality, programmable integrated […] |
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The U.S. Department of Energy’s Energy Earthshots Initiative aims to accelerate breakthroughs of more abundant, affordable and reliable clean energy solutions, to tackle the toughest remaining barriers to addressing the climate crisis and achieving net-zero carbon emissions by 2050. Specifically, the Hydrogen Energy Shot seeks to reduce the cost of clean hydrogen by 80% in […] |
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Abstract: Large pre-trained models trained on internet-scale data are often not ready for safe deployment out-of-the-box. They are heavily fine-tuned and aligned using large quantities of human preference data, usually elicited using pairwise comparisons. While aligning an AI/ML model to human preferences or values, it is important to ask whose preference and values we are […]
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT In this talk, I will discuss how we engineered the foundation of the drone show industry, creating a new form of entertainment that rivals traditional fireworks. Our journey began at Pennovation, where we designed and tested our […]
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Abstract: One of the main challenges in the molecular sciences is identifying promising candidates for a target application given the virtually limitless number of possibilities. Computer simulations and machine learning (ML) are integral tools to survey the vast molecular landscape and the thermodynamic conditions to evaluate their performance. Broadly, a typical pipeline for molecular characterization, […] |
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Theme: "Building an AI Ecosystem for a Brand New Generation of Computing" Section I: Leadership Lightning Insights Series Section II: Keynote Address Section III: Executive Panel Discussions
$200
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Abstract: Proper organism development relies on precise gene regulation, where genes are expressed at specific times, locations, and quantities. Non-coding DNA sequences called enhancers play a crucial role in this process by interacting with their target promoters to initiate transcription and regulate gene expression. While the mechanisms of enhancer-mediated gene control have been extensively studied, […] |
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