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Fetal movements and physical activities generate mechanical signals that regulate musculoskeletal development. It is widely accepted that a bone’s adaptive response occurs within an optimal strain range that stimulates bone formation, exceeding typical daily activity levels. This principle has led to models predicting how bones respond to mechanical loads, as insufficient mechanical signals can result […]
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Abstract: Highly loaded, polymer-infiltrated nanoparticle films (PINFs) enable the synergistic combination of polymers with the functionality of nanoscale fillers. Extensive studies have found that their behavior deviates markedly from bulk polymers due to extreme confinement and high interfacial area within the interstitial pore network. However, incorporating polymer blends in these PINFs (blend-PINFs) is unexplored. Confinement […] |
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This is a hybrid event with in-person attendance in AGH 306 and virtual attendance via Zoom. ABSTRACT How does the brain perform the complicated computations that allow us to learn about and interact with the environment? The rapid advances in optical imaging, machine learning, and the availability of computational resources, provide a unique opportunity to […]
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Metasurfaces are artificial materials composed of sub-wavelength building blocks whose size, shape, periodicity and composition are tailored to engineer their optical response and achieve arbitrary control of their interactions with light. Their phase discontinuities or resonances are critically dependent upon the local dielectric or refractive index environment, thus making metasurfaces excellent candidates as refractive index […] |
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Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm of feature extraction and matching coupled with advancements in sensor technology have allowed robots to achieve sub meter localization accuracy over kilometer long trajectories in […] |
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Optical metasurfaces enable strong light–matter interactions, making them ideal platforms for high–figure-of-merit (FOM) sensing. When fabricated from colloidal nanocrystal dispersions, these metasurfaces offer unique advantages in fabrication flexibility, reconfigurability, and cost-effectiveness. However, conventional fabrication approaches often rely on toxic material systems. In this thesis, we enhance the FOM of titanium dioxide (TiO₂)-based dielectric metasurfaces by […] |
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Random fiber networks are integral to biological materials such as the extracellular matrix, cytoskeleton, and blood clots. A random fiber network is the main structural component of the extracellular matrix, the cytoskeleton, and our blood clots. The mechanical behavior of these materials is characterized by large deformations, non-linear stress-strain response, and large compressibility. Experimental and […] |
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Our lab combines adhesion and tribology with modern polymers and surface coatings to understand soft interfaces in biology towards improving human health and accessibility. On the scale of cells, mechanical stiffness of cells and tissue can indicate diseases like fibrosis or osteoarthritis. On the scale of the human body, mechanical forces generated by friction form […]
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This is a hybrid event with in-person attendance in AGH 306 and virtual attendance via Zoom. ABSTRACT The last few years are witnessing a major shift in the way we think of computing, with humans relying more and more on AI assistants which speak their language and understand images and videos. While this revolution has […] |
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ESE Ph.D. Thesis Defense: “Statistical Limits and Efficient Algorithms for Learning-Enabled Control”
ESE Ph.D. Thesis Defense: “Statistical Limits and Efficient Algorithms for Learning-Enabled Control”
As the adoption of large-scale learning for control continues to grow, developing sample-efficient algorithms has become critical. Yet, even in simple settings, algorithms achieving optimal sample complexity for specific problem instances often remain unknown. Motivated by this limitation, we discuss recent progress toward understanding sample-efficient methods in learning-enabled control. We first examine the statistical limits […]
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Join Penn AI on June 18 @ 2PM for an exciting webinar exploring how artificial intelligence is transforming every corner of healthcare—from dental exams to home care, medical imaging to gerontology, and beyond. Hear directly from leading experts including as they dive into the real-world impact of AI in their fields, the challenges of implementing […] |
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Modern robots embody power and precision control, yet as robots undertake tasks that apply forces on humans this power brings risk of injury. Soft robotic actuators use deformation to produce smooth, continuous motions and conform to delicate objects while imparting forces capable of safely pushing humans. This thesis presents strategies for the design, modeling, and […] |
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Fibers are among the most versatile material forms in contemporary applications, including textiles, biomedicine, and aerospace. Wet spinning, the process of coagulating a polymer solution into tangible fibers, remains one of the oldest and most reliable methods for continuously fabricating fibers from a wide range of materials. Contemporary research in fiber science has begun to […]
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Abstract: Metamaterials are engineered materials designed to manipulate and tailor electromagnetic (EM) waves. Metasurfaces are planar metamaterials that rely on inclusions whose optical properties and spatial arrangements are designed to interact with incident EM waves to yield desired reflected or transmitted waveforms. A reconfigurable metasurface in which the relative positions of inclusions can be controlled […] |
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Crosslinked biocompatible polymer networks offer unique potential for biomedical applications that demand high resilience under repetitive load-bearing conditions. However, conventional hydrogels often exhibit poor mechanical strength and irreversible damage under cyclic deformation. To address these challenges, this work presents a class of engineered polymer network designed for enhanced mechanical robustness: cryogel-based double-network (DN) hydrogels. In […] |
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Abstract: Solvated macromolecules such as proteins and polymers undergo conformational changes in response to stimuli such as pressure, temperature, pH, ligand binding, and post-translational modification. These transitions are fundamental to biological function, from cellular signaling to misfolding and aggregation, and are increasingly harnessed in applications such as drug delivery, biosensing, and biomaterials design. Understanding how […]
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Abstract: Micron-scale colloidal particles with short-ranged attractions, e.g., colloids functionalized with single-stranded DNA oligomers, have emerged as a powerful platform for studying colloidal self-assembly phenomena with the long-term goal of identifying routes for metamaterial fabrication. Although these systems have been investigated extensively both experimentally and computationally, the role of ‘real world’ features that may impact […] |
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