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CBE PhD Dissertation Defense: Keshav Patil
Fall 2022 GRASP on Robotics: Wenzhen Yuan, Carnegie Mellon University, “Making sense of the physical world with high-resolution tactile sensing”
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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 via Zoom. ABSTRACT In this talk, I will introduce the development of a high-resolution robotic […]
PICS Colloquium: “Group-Theoretic Approach for Nonlinear Problems in Mechanics with High Symmetry Avoids Use of Imperfections”
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PICS Conference Room 534 - A Wing , 5th Floor
3401 Walnut Street, Philadelphia, PA, United States
Many interesting problems in nonlinear mechanics, from classical to more recent, pertain to applications with high initial symmetry: from the buckling of thin walled structures to the morphing in architected […]
PSOC Seminar: “Bioengineered human brain microvascular network to model brain tumor and mechanobiology of glioma invasion” (Guohao Dai, Northeastern University)
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street, Philadelphia, PA, United States
Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
ESE Fall Colloquium – “On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-Loop Transcription”
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Ten years into the revival of deep networks and artificial intelligence, we propose a theoretical framework that sheds light on understanding deep networks within a bigger picture of intelligence in […]
Tedori-Callinan Lecture: “Mixing of Granular Materials, Inertial Suspensions, and Cement”
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Flows of particulate materials are ubiquitous in nature and industry. Predictions of flow rates and mixing times rely on an understanding of the rheological properties of the materials, which can […]
ESE Ph.D. Thesis Defense: “Design of Low-power CMOS Integrated Systems: from Biomedical Applications to Optical Links”
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Levine 512
Electronic and photonic microsystems realized in the form of integrated circuits (IC) has been revolutionizing numerous fields that traditionally exploit bulky implementations. The advantages stemming from device miniaturization have opened […]
ASSET Seminar: Decision-Aware Learning for Global Health Supply Chains, Osbert Bastani (University of Pennsylvania)
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Levine 307
3330 Walnut Street, Philadelphia, PA, United States
ABSTRACT: Machine learning algorithms are increasingly used in conjunction with optimization to guide decision making. A key challenge is aligning the machine learning loss with the decision-making loss. Existing solutions […]
Fall 2022 GRASP SFI: Roberto Calandra, Meta AI, “Perceiving, Understanding, and Interacting through Touch”
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Levine 307
3330 Walnut Street, Philadelphia, PA, United States
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Touch is a crucial sensor modality in both humans and robots. Recent advances […]
CBE Seminar Series: “Targeted Delivery of Macromolecular Therapeutics” (Christopher A. Alabi, Cornell University)
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
MSE Seminar: “Understanding Degradation in Metal Halide Perovskite Solar Cells and Modules”
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Halide perovskite solar cells (PSCs) have been the focus of much research in recent years due to their extremely high photoconversion efficiencies and their ability to be synthesized by solution […]
ESE Fall Colloquium – “Phase Transitions, Symmetry, and Reed-Muller Codes on BMS Channels”
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street, Philadelphia, PA, United States
This talk will begin by discussing phase transitions in high-dimensional statistical inference problems. Some effort will be made to distinguish between problems with random structure (e.g., random codes and sparse […]