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MEAM Seminar: “Lubrication and Tribology Trends and Challenges in Passenger Electric Vehicles”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

It is becoming more difficult and expensive to continue developing internal combustion engine (ICE) powered vehicles to meet the increasingly tight emissions goals addressing global climate change. Over the last few years, automobile manufacturers have been turning their attention toward electrification as the most practical and cost-effective way of providing personal transportation options that will […]

PICS Colloquium: “Molecular Engineering of Ice Responsive Materials: Decoding Heterogeneous Ice Nucleation”

Zoom - email kathom@seas.upenn.edu

Abstract: The presence of particles such as dust and pollen affect cloud microphysics significantly through their effect on the state of water. These particles can hinder or accelerate the liquid-to-solid transition of water, and also affect the ice polymorph formed in the clouds. This indirectly cloud reflectivity, cloud lifetime, and precipitation rates. While a predominant […]

ESE Thesis Defense: “Accelerated Risk Assessment and Domain Adaptation for Autonomous Vehicles”

Zoom- Email mokelly@seas.upenn.edu for link

Autonomous vehicles (AVs) are already driving on public roads around the US; however, their rate of deployment far outpaces quality assurance and regulatory efforts. Consequently, even the most elementary tasks, such as automated lanekeeping, have not been certified for safety, and operations are constrained to narrow domains. First, due to the limitations of worst-case analysis […]

MEAM Seminar: “Nonintrusive Reduced Order Models Using Physics Informed Neural Networks”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

The development of reduced order models for complex applications, offering the promise for rapid and accurate evaluation of the output of complex models under parameterized variation, remains a very active research area. Applications are found in problems which require many evaluations, sampled over a potentially large parameter space, such as in optimization, control, uncertainty quantification, […]

ESE Seminar: “Harnessing Light-Matter Interaction for Photonic Quantum Technologies”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Photonic quantum technologies have a unique potential for applications such as large-scale quantum networks and quantum-enhanced sensing. Furthermore, photons provide new paradigms for quantum simulations and a testbed for benchmarking the advantage of quantum simulators over the classical ones. These applications demand novel resources such as efficient single-photon sources, large clusters of entangled photons, and […]

CIS Seminar: “Bridging Learning and Decision Making”

Zoom - Email CIS for link cherylh@cis.upenn.edu

Machine learning is becoming widely used in decision making, in domains ranging from personalized medicine and mobile health to online education and recommendation systems. While (supervised) machine learning traditionally excels at prediction problems, decision making requires answering questions that are counterfactual in nature, and ignoring this mismatch leads to unreliable decisions. As a consequence, our […]

CBE Seminar: “Engineering Microsystems and Computational Pipelines to Understand the Brain”

Zoom - Email CBE for link

Abstract My lab is interested in engineering micro systems and computational tools to address questions in systems neuroscience, developmental biology, and cell biology that are difficult to answer with conventional techniques. We are particularly interested in the questions of how the brain is assembled during development (and changes during aging) and information processed by brain […]

CIS Seminar: “Human-Centered Interactive Systems for Configuring, Extending, and Developing AI Applications”

Zoom - Email CIS for link cherylh@cis.upenn.edu

Artificial intelligence (AI) technologies are emerging and affecting our lives in many aspects. However, the majority of individuals are merely users of AI with little capability to adapt AI to their own long-tail tasks, preferences, and interests that are not covered by the existing AI solutions. Democratizing AI to empower the individuals to create, configure, […]

Spring 2021 GRASP SFI: “Robotic Caregivers—Sensing, Simulation, and Physical Human-Robot Interaction”

Zoom

Abstract: Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people with disabilities worldwide. Yet, physical robotic assistance presents several challenges, including risks associated with physical human-robot interaction, difficulty sensing the human body, and a lack of tools for benchmarking and training physically assistive robots. In […]