Penn Engineering Events

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1 event,

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MSE Thesis Defense: “Imaginary-Index-Driven Programmable Integrated Photonics for Optical Computing and Networking”

1 event,

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MEAM Seminar: “Powering the Future Through Hydrogen Hubs and International Partnerships for Materials and Engineering System Solutions”

3 events,

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ASSET Seminar: “Towards Pluralistic Alignment: Foundations for Learning from Diverse Human Preferences”

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Fall 2024 GRASP SFI: Tony Samaritano, Verge Aero, “Building the Drone Show Industry”

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CBE Seminar: “Filling the Gaps of Machine Learning Workflows in the Molecular Sciences” (Yamil Colón, University of Notre Dame)

0 events,

2 events,

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CBE Doctoral Dissertation Defense: “Quantitative Analysis on Enhancer-Mediated Dynamic Gene Regulations in Drosophila Embryos” (Hao Dennis Deng)

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0 events,

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3 events,

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MEAM Seminar: “Systemic Disadvantages for LGBTQ Professionals in STEM”

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ESE Fall Seminar – “Reflections on learning about learning: A case study on where ideas come from in (In-)Secure Processor Design”

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CIS Special Industry Seminar: “Improving Foundation Models Using Human Data”

4 events,

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CBE Doctoral Dissertation Defense: “Investigation of Thin-film Cerium-based Oxides and Single Atom Catalysts Prepared by Atomic Layer Deposition” (Kai Shen)

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ASSET Seminar: “Wood Wide Models”

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Fall 2024 GRASP SFI: Tushar Kusnur, The AI Institute, “Robotic Information Gathering: Experiences and Perspectives”

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4 events,

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MSE Seminar: “Color From Colorless Materials: Harnessing Multi-reflection Interference in Microstructures”

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ESE Fall Seminar – “Deep Latent Variable Models for Compression and Natural Science”

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CIS Seminar: “Neurosymbolic AI for Safety-Critical Agile Control”

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2 events,

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Fall 2024 GRASP on Robotics: Antonio Loquercio, University of Pennsylvania, “Simulation: What made us intelligent will make our robots intelligent”

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PICS Colloquium: Mean flow and turbulence in unsteady urban canopy flows

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3 events,

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MEAM Seminar: “Propulsive Advantages of Coordinating Multiple Jets by Colonial Marine Organisms”

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ESE Fall Seminar – “Learning-NUM: Utility Maximization in Stochastic Queueing Networks”

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CIS Seminar: “Optimal Oblivious Reconfigurable Networks”

5 events,

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ESE Guest Seminar – “Safe Offline RL for Constrained Markov Decision Process: Theory and Practice”

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ASSET Seminar: “Some Displaced Vignettes on Generalized Notions of Equivariance”

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MEAM Ph.D. Thesis Defense: “Semantics-Driven Active Perception and Navigation with Aerial Robots”

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5 events,

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MSE Seminar “Shaping a Soft Future”

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IDEAS Seminar: “Equivariant Neural Inertial Odometry”

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Fall 2024 GRASP Seminar: Bob Collins & Yanxi Liu, Penn State University, “From Vision to Dynamics”

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1 event,

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Fall 2024 GRASP on Robotics: Zak Kassas, IEEE AESS DL & The Ohio State University, “Ad Astra: Navigation with Megaconstellation LEO Satellites”

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3 events,

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MEAM Seminar: “Engineering Mechanics of Architected Hard-Soft Composites: Experiment, Simulation, and Theory”

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BE Doctoral Dissertation Defense: “Data Driven Approaches for Optimizing Antiseizure Medication Management in Epilepsy” (Nina Ghosn)

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CIS Seminar: “How to Design Useful and Usable AI-Powered Applications”

3 events,

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ASSET Seminar: “Towards Sustainable Artificial Intelligence and Datacenters”

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Fall 2024 GRASP SFI: Carl Vondrick, Columbia University, “Making Sense of the Multimodal World”

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CBE Seminar: “Backbone Modifications in Peptide Natural Products” (James Link, Princeton University)

3 events,

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MSE Seminar: “Kagome Metals and Their Unusual Electronic Properties”

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ESE PhD Seminar: “Learning Local Control Barrier Functions for Safety-Critical Hybrid Systems”

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CIS Grace Hopper Distinguished Lecture: “OLMo: Accelerating the Science of Language Modeling”

1 event,

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Fall 2024 GRASP on Robotics: Ruslan Salakhutdinov, Carnegie Mellon University, “Multimodal AI Agents”

0 events,

0 events,

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2 events,

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MEAM Seminar: “Engineering Innovation in Maternal and Fetal Health: The Biomechanics of High-Risk Pregnancies”

1 event,

0 events,

1 event,

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Fall 2024 GRASP on Robotics: Tess Smidt, Massachusetts Institute of Technology, “Recent applications of Euclidean neural networks to understand and design atomistic systems”

0 events,

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