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    • MEAM Ph.D. Thesis Defense: “No Watts Wasted: Spines and Tails for Agile Legged Locomotion”

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    Despite considerable advancements in recent years, legged robots still fall short in terms of agility when compared to their animal counterparts. This thesis takes a two pronged approach to creating more agile behaviors by pursuing the intuition that agile legged machines should use much of their available power during agile behaviors. The first approach leverages […]

    BE Seminar: “Synthetic Genome Regulation for Cell and Tissue Engineering” (Timothy Downing, UC Irvine)

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    216 Moore Building

    Molecular heterogeneity is emerging as a critical feature of multicellular life. While single-cell analyses have revealed the existence of cell-to-cell variation in the levels and activities of the molecules responsible for gene regulation, the source of such variation is still poorly understood. The Downing Lab studies how genome replication contributes to epigenetic heterogeneity across stem cell populations. We recently developed a new sequencing method (Repli-Bisulfite Sequencing) that enables analysis of DNA methylation within newly replicated strands of DNA […]

    PRECISE Seminar: What can we learn about AI and data science from the vision field?

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    Abstract Remarkable advances in imaging, computation, and technology are rapidly moving us into an era where biomedical knowledge discovery is increasingly limited only by creativity. This has resulted in unprecedented opportunities to improve the diagnosis and treatment of disease. The vision field has been at the forefront of these advances in AI for healthcare because of the easy accessibility […]

    Fall 2023 GRASP on Robotics: Seth Hutchinson, Georgia Institute of Technology, “Model-Based Methods in Today’s Data-Driven Robotics Landscape”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Data-driven machine learning methods are making advances in many long-standing problems in robotics, including grasping, legged locomotion, perception, and more. There are, however, robotics applications for which data-driven methods are less effective, and sometime inappropriate. Data acquisition […]

    ESE Fall Seminar – “Stochastic Geometry for Networks”

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    Berger Auditorium (Room 13), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

    Stochastic geometry is a branch of probability theory that deals with the study of random spatial patterns. Random point patterns, termed point processes, are the most basic such objects that appear in numerous applications. After presenting a brief introduction to point processes, we will present our work on the stochastic modeling and analysis of wireless […]

    ESE PhD Thesis Defense: “Learning, Privacy, and Reliable Communication in Large Data Networks”

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    This thesis explores advancements in three distinct domains: communications, privacy, and machine learning. Within the realm of communication, a comprehensive study is conducted on channel coding at low capacity, a critical aspect of Internet of Things (IoT) technology requiring reliable transmission over channels with minimal capacity. Despite existing finite-length analyses yielding inaccurate predictions and current […]

    MEAM Ph.D. Thesis Defense: “Mechanics-Informed Optimization for Enhanced Adhesion and Toughness”

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    DRLB 3W2 209 S. 33rd Street, Philadelphia, Pennsylvania

    Structural design optimization has long played a crucial role in engineering, often with the goal of creating stiff and lightweight structures for aerospace and other applications. However, optimizing structures against failure is also crucial and has been less explored. Failure at interfaces is particularly challenging in design optimization as they involve high local stress concentrations […]

    MEAM Seminar: “Advancing Bioadhesive Technologies with Mechanical Principles”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    Bioadhesive technologies are important in a wide range of applications, spanning from wound management to wearable technologies. Forming and controlling tough adhesion on biological tissues has been a long-lasting challenge, necessitating transdisciplinary approaches. In my talk, I will share our recent progress in the design, mechanics, and applications of tough bioadhesives. I will first discuss […]

    CIS Seminar: “Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    Computer security is traditionally about the protection of technology, whereas trust and safety efforts focus on preventing technology abuse from harming people. In this talk, I'll explore the interplay between security and tech abuse, and make the case that trust and safety represents an important frontier for computer security researchers. To do so, I'll draw […]

    PSOC Seminar: Denise Montell, University of California, Santa Barbara

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    DRL 2N3

    PSOC@Penn Seminar, Wednesday Nov 29th   ** New Location ** DRL 2N3 2N3 conference/seminar room is in DRL 2nd floor towards end of hallway that parallels Walnut St -Noon - 1.00pm : PSOC  talk Speaker: Denise Montell, PhD Duggan Professor and Distinguished Professor, Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara https://www.mcdb.ucsb.edu/people/faculty/denise-montell https://denisemontell.mcdb.ucsb.edu/  Talk : “TBA”  […]

    ASSET Seminar: “Inherent Interpretability via Language Model Guided Bottleneck Design” (Mark Yatskar, Penn)

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    ABSTRACT: As deep learning systems improve, their applicability to critical domains is hampered because of a lack of transparency. Post-hoc explanations attempt to address this concern but they provide no guarantee of faithfulness to the model’s computations. Inherently interpretable models are an alternative but such models are often considered to be too simple to perform […]

    CBE Doctoral Dissertation: “A Multiscale Computational Framework for Simulating Thrombus Growth Under Flow” (Kaushik Shankar)

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    Room 534 A Wing, 3401 Walnut 3401 Walnut Street, Philadelphia, PA, United States

    Abstract: Modeling thrombus growth in pathological flows allows evaluation of risk under patient-specific pharmacological, hematological, and hemodynamical conditions. To this end, we have developed a 3D multiscale framework for the prediction of thrombus growth under flow on a spatially resolved surface presenting collagen and tissue factor (TF). The multiscale framework is composed of four coupled […]