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3 events,
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Accurate simulations of physical phenomena governed by partial differential equations (PDEs) are foundational to scientific computing. While traditional numerical methods have proven effective, they remain computationally intensive, particularly for complex, large-scale systems. This talk introduces the neural operator, a machine learning framework that approximates solution operators in infinite-dimensional spaces, enabling efficient and scalable PDE simulations […]
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Modern computing and communication technologies, such as supercomputers and the internet, are based on optically-linked networks of information processors operating at microwave frequencies. An analogous architecture has been proposed for quantum networks using optical photons to distribute entanglement between remote superconducting quantum processors. Here I will discuss our recent demonstration of a chip-scale source of […]
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Team theory is a mathematical formalism for decentralized stochastic control problems in which a “team,” consisting of a number of members, cooperates to achieve a common objective. It was developed to provide a rigorous mathematical framework of cooperating members in which all members have the same objective yet different information. In static team problems, the […] |
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Construction remains one of the least automated industries, struggling with labor shortages, inefficiencies, and rising costs. At BotBuilt, we are revolutionizing the way homes are built by leveraging robotics and AI to automate framing, making construction faster, […]
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Abstract: Societies have prospered using a linear “take-make-use-dispose” approach, extracting natural resources to make products, using them, and ultimately discarding them or their residues. This unsustainable approach has exploited natural resources at a rate that has caused excessive pollution and loss of biodiversity, and is leading to a global climate crisis. In response to this […] |
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Abstract: Fast solid-state Li-ion conductors are a crucial class of materials with the potential to enable all-solid-state batteries, offering enhanced safety and energy density. However, these materials remain rare, and progress in developing novel solid electrolytes has been hindered by a lack of clear descriptors for superionic conductivity and a limited understanding of ion transport […]
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The remarkable recent success of Machine Learning (ML) is driven by our ability to develop and deploy interactive models that can solve complicated tasks by understanding and adapting to the ever-changing state of the world. However, the development of such models demands significant data and computing resources. Moreover, as these models increasingly interact with humans, […]
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Bone is the third most common site for cancer metastasis, affecting ~66% of patients with common cancers—breast, lung, prostate, renal, thyroid—incurring skeletal events in up to 400,000 people in the US/year. Metastatic bone disease (MBD) results in weakened bone, leading to refractory pain and pathological fracture that increase disease state morbidity. Despite bone tissue’s dynamic […] |
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This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT The goal of building machines that can perceive and act in the world as humans and other animals do has been a focus of AI research efforts for over half a century. Over this same period, […]
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This will be a hybrid event with in-person attendance in Levine 512 and virtual attendance on Zoom. This seminar will NOT be recorded. ABSTRACT Dynamic scene reconstruction from monocular cameras often requires us to simultaneously estimate depth and 3D motion, where knowledge of either one would help to constrain the other. I will review two […] |
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Advances in engineering have enabled a new generation of soft medical robots and devices with unique theranostic capabilities for interfacing with delicate organs. However, challenges remain in achieving spatial and temporal precision in extreme body environments, particularly within the digestive system. This talk will highlight three recent preclinical innovations addressing these challenges: (i) BIOSENTER: a […] |
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT It was not long after Theodore Maiman published the first demonstration of the ruby laser in the August 6, 1960 issue of Nature1 that it was realized that such a unique light source could be used in many applications, including […]
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CBE Seminar: “Multifunctionality of MXenes for Sensor Technologies” (Lia Stanciu, Purdue University)
CBE Seminar: “Multifunctionality of MXenes for Sensor Technologies” (Lia Stanciu, Purdue University)
Abstract: MXenes, a versatile family of 2D materials, have garnered interest for applications in sensing technologies due to their unique combination of conductivity, hydrophilicity, and surface tunability. This talk explores the integration of MXenes into sensor platforms, and discusses their potential in electrochemical, optical, and environmental sensing. Their surface functional groups can be leveraged for […] |
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Zoom link https://upenn.zoom.us/j/98220304722 Abstract We present computational tools for analyzing and designing first-order methods in parametric convex optimization. These methods are popular for their low per-iteration cost and warm-starting capabilities. However, precisely quantifying the number of iterations required to compute high-quality solutions remains a key challenge, especially in real-time applications. First, we introduce a […] |
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Cutting-edge biological and medical research demands innovative methods for sensing and modulating complex tissues, organs, and organ systems. Recent progress in bioelectronics enables multimodal interfacing for broad fundamental and therapeutic applications. However, key challenges persist in interfacing with complex biological geometries, particularly for applications requiring conformal contact in electrical, chemical, or mechanical biointerfaces. In this […] |
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Soft, bio-integrated materials and devices exhibit the ability to collect physiological signals and offer therapeutic functions, posing a substantial impact on our understanding of biology and paving the way for precision medicine. With the assistance of advanced ultrasound technology, the innovative integration holds immense promise for sensing, modulation and actuation in deep tissues and complex […] |
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This will be a hybrid event with in-person attendance in Raisler Lounge (Towne 225) and virtual attendance on Zoom. ABSTRACT Modern reconstruction systems, leveraging advances in pose estimation and generative modeling, can reconstruct everyday objects and scenes from casually captured images. In this talk, I will highlight recent work from our group that pushes these […] |
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Animals can easily adapt their bodies and movements to new, unstructured environments and situations. Robots cannot. While engineers construct robots from rigid, motorized mechanisms to precisely control their movements, vertebrates leverage compliant, deformable musculoskeletal systems to adaptively navigate complex environments and produce dynamically stable gaits and motions. Providing robots with an equivalent musculoskeletal system will […]
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Machine learning is transforming numerous aspects of modern society, and its expanding use in high-stakes applications calls for responsible development. In this talk, I will present my research on the foundations and methodologies for building trustworthy ML, centered on three interconnected challenges: generalization, memorization, and privacy. First, I will show how information-theoretic tools can be […] |
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT The Spring 2025 GRASP SFI Student Lightning Talks will highlight the research of three GRASP Lab Master's or early PhD students whose presentation topics have been nominated by their faculty advisors and voted on by their GRASP peers. […] |
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Particle assemblies form interconnected pockets of empty space that are hot spots for activity in many applications and natural phenomenon that deal with particulate matter. In my lab we explore the use of interlinked soft microparticle assemblies as scaffolds for cell culture in vitro and to promote regenerative wound healing in vivo. The open space that is created […]
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Over the past decade, large-scale pre-training followed by alignment has revolutionized natural language processing and computer vision. Yet, robotics remains constrained by the scarcity of real-world data. In this talk, I will present our systematic approach to overcoming this bottleneck by building increasingly rich world models from data. I will first introduce our distilled feature […]
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Modern ML models produce valuable predictions across various applications, influencing people’s lives, opportunities, and scientific advancements. However, these systems can fail in unexpected ways, generating unreliable inferences and perpetuating biases present in the data. These issues are particularly troubling in high-stakes applications, where models are trained on increasingly diverse, incomplete, and […] |
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2 events,
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Flexible rod-like structures such as nanotubes and nanowires have found significant interest in nanoelectronic applications. Likewise, with the recent advancement in soft robotics and additive manufacturing, an important goal is to optimally design architected slender metamaterials and further derive their effective mechanical properties through homogenization techniques. However, modeling such structures as a flexible continuum body […]
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Coupling of spins and light can enable photon-mediated scaling and control in quantum technologies, as demonstrated in trapped atom, ion, and solid-state spin qubits. Molecular analogs of such systems hold promise as a nascent qubit platform that can leverage the tools of synthetic chemistry to tailor quantum properties and integrate in nanoscale devices but have […] |
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT In recent years, the field of swarm robotics has seen rapid advancements, from research to industry. While most work focuses on programmed intelligence, swarms in nature demonstrate that physical intelligence—where agents perform tasks based on their morphology […] |
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Understanding single-cell heterogeneity in biological systems is considered the holy grail of biomedicine. However, conventional single-cell analysis methods are constrained by the destructive readout process of DNA barcodes and the broad emission linewidths of fluorescence barcodes, limiting their ability to capture dynamic information and achieve high multiplexing capabilities. This seminar explores the transformative potential of […]
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: We study the generalization properties of neural networks through the lens of data complexity. Recent work by Buzaglo et al. (2024) shows that random (nearly) interpolating networks generalize, provided there is a small ``teacher'' network that achieves small excess risk. We give a short single-sample PAC-Bayes proof of this result and […] |
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From silo discharge and granular avalanches to the erosion of granular beds, granular materials play a central role in many industrial and environmental processes. While significant advances have been made in understanding the statics and dynamics of cohesionless grains, the role of interparticle adhesion, which fundamentally alters bulk rheology and transport mechanisms, remains elusive. In […] |
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT What do diffusion models/flow matching, Gaussian splatting and efficient transformer architectures have in common? Under the hood, they all turn a discrete set of points into a function defined everywhere. In the case of diffusion models/flow matching, […]
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Abstract: Recent technical advances are leading to a rapid transformation of the chemical palette available in cells, thus making it conceivable to produce nearly any organic molecule of interest—from biofuels to biopolymers to pharmaceuticals. However, these feats require the ability to “hijack” native cellular machinery and metabolism and navigate the complexity inherent in cellular regulation. […] |
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One of our key research areas focuses on developing innovative nanoplatforms for cancer diagnosis, treatment, and therapy-response monitoring. We aim to understand material-biosystem interactions and design nanoparticles capable of delivering effective therapeutic payloads. This presentation will discuss strategies for synthesizing and engineering nanoparticles to ensure stability, extended blood circulation, and controlled drug release while overcoming […]
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Zoom link: https://upenn.zoom.us/j/98220304722 Abstract I will present recent work by my research group on the design and analysis of stochastic-gradient-based algorithms for solving nonconvex constrained optimization problems, which may arise, for example, in informed supervised learning. I will focus in particular on algorithmic strategies that have consistently been shown to exhibit the best practical […] |
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This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT As the population ages, the need grows for AI agents to assist people to remain living independently. Older adults are typically set in their ways, so AI agents should adapt to their ways of doing things, […] |
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