BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240130T100000
DTEND;TZID=America/New_York:20240130T113000
DTSTAMP:20260403T191256
CREATED:20240117T161205Z
LAST-MODIFIED:20240117T161205Z
UID:10007817-1706608800-1706614200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Making Dynamic Robots Taskable"
DESCRIPTION:In this talk\, I will share some insights and observations from our work on Atlas\, the world’s most dynamic humanoid robot. I’ll talk about some of the core ideas—like model-predictive control (MPC)—that have made an impact for us\, how learning is playing a larger role in how we design control systems at Boston Dynamics\, and how we think about scaling up through real world deployments.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-making-dynamic-robots-taskable/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240130T153000
DTEND;TZID=America/New_York:20240130T163000
DTSTAMP:20260403T191256
CREATED:20240124T153237Z
LAST-MODIFIED:20240124T153237Z
UID:10007823-1706628600-1706632200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Obfuscation of Quantum Computation"
DESCRIPTION:Protecting secrets within computer systems is a central mission of cryptography. Program obfuscation\, which scrambles computer code without harming its functionality\, is an immensely powerful and versatile tool for accomplishing this task that has been the subject of intense study in classical cryptography. Yet\, the ability to obfuscate quantum computation had previously remained elusive to researchers\, even with the widespread use of quantum technology on the horizon. \nThis talk will demonstrate how quantum information-processing systems can keep secrets\, and explore the implications of this ability. In particular\, we will cover a series of recent results that establish the feasibility of obfuscating general-purpose quantum computation\, and reveal deep connections with several important fields of study within quantum computational science\, including verification of quantum computation and unclonable cryptography.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-obfuscation-of-quantum-computation/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240131T120000
DTEND;TZID=America/New_York:20240131T133000
DTSTAMP:20260403T191256
CREATED:20240125T160426Z
LAST-MODIFIED:20240125T160426Z
UID:10007826-1706702400-1706707800@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: “Towards A New Frontier of Trustworthy AI: Interpretable Machine Learning Algorithms that Produce All Good Models” (Chudi Zhong\, Duke University)
DESCRIPTION:ABSTRACT: \nMachine learning has been increasingly deployed for high-stakes decisions that deeply impact people’s lives. My research focuses on developing interpretable algorithms and pipelines to ensure the safe and efficient utilization of machine learning models in the decision-making process. In this talk\, I will introduce a new paradigm\, called learning the Rashomon set\, which finds and stores all models within epsilon of the optimal loss. I will present algorithms for finding optimal models and Rashomon sets\, discuss how this new paradigm can break the interaction bottleneck between users and ML algorithms\, and provide examples of its applications. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/99641494762 \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-towards-a-new-frontier-of-trustworthy-ai-interpretable-machine-learning-algorithms-that-produce-all-good-models-chudi-zhong-duke-university/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240131T150000
DTEND;TZID=America/New_York:20240131T160000
DTSTAMP:20260403T191256
CREATED:20240122T192113Z
LAST-MODIFIED:20240122T192113Z
UID:10007820-1706713200-1706716800@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Raphael Zufferey\, École Polytechnique Fédérale de Lausanne\, "Flying robots: exploring hybrid locomotion and physical interaction"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week’s speaker will be virtual. \nABSTRACT\nAutonomous flying robots have become widespread in recent years\, yet their capability to interact with the environment. remains limited. Moving in multiple fluids is one of the great challenges of mobile robotics\, and carries great potential for application in biological and environmental studies. In particular\, hybrid locomotion provides the means to cross large distances and obstacles or even change from one body of water to another thanks to flight. At the same time\, they are capable of operating underwater\, collecting samples\, video and aquatic metrics. However\, the challenges of operating in both air and water are complex. In this talk\, we will introduce these challenges and cover several research solutions which aim to adress these in different modalities\, depending on locomotion and objectives. Bio-inspiration plays a crucial role in these solutions\, and the topic of flapping flight in the context of physical interaction will also be presented.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-raphael-zufferey/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240131T153000
DTEND;TZID=America/New_York:20240131T163000
DTSTAMP:20260403T191256
CREATED:20240116T175241Z
LAST-MODIFIED:20240116T175241Z
UID:10007805-1706715000-1706718600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Optimal Control as a catalyst for Smart and Sustainable Systems" (Benjamin Decardi-Nelson\, Cornell)
DESCRIPTION:Abstract:\nIn modern engineering\, sustainability is a crucial aspect\, especially in chemical and biological process systems. This concept has evolved to encompass a holistic approach\, emphasizing not only the use of sustainable resources but also the development of systems that are environmentally friendly\, smart\, and efficient. Such systems aim to minimize waste and optimize resource use. At the heart of this shift is optimal control\, a fundamental element in engineering smart\, sustainable systems. However\, the integration of optimal control technologies into these systems is challenging due to the complexity of managing large-scale\, constrained\, nonlinear\, and interconnected subsystems\, particularly under uncertain conditions. In this talk\, I will introduce a series of optimal control technologies that contribute to smarter and more efficient systems\, enhancing their sustainability. Specifically\, I will discuss the development and application of (1) model predictive control and (2) reinforcement learning\, which are instrumental in creating systems that use minimal resources and generate less waste. I will also demonstrate how optimal control is pivotal in advancing sustainable food production in urban areas through the integration of renewable energy and efficient resource management. Overall\, these advancements in optimal control techniques illustrate their transformative role in shaping the future of intelligent\, sustainable systems\, underscoring their vital importance in our path toward a more sustainable world.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-optimal-control-as-a-catalyst-for-smart-and-sustainable-systems-benjamin-decardi-nelson-cornell/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240201T153000
DTEND;TZID=America/New_York:20240201T163000
DTSTAMP:20260403T191256
CREATED:20240108T171010Z
LAST-MODIFIED:20240108T171010Z
UID:10007792-1706801400-1706805000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Imaging the Brain for Deeper\, Finer\, and More Diverse Insight" (Fei Xia\, Ecole Normale Supérieure)
DESCRIPTION:The brain is a powerful organ that regulates health and drives intelligence. How can we see more clearly into the working brain to understand it better? High-resolution optical microscopy has long been an ideal tool due to its spatial sub-micron precision and specificity. However\, achieving the necessary spatio-temporal scale for further advancing our understanding of the brain remains a challenge. The primary obstacle originates from the inhomogeneous nature of tissues\, which distort light and compromise imaging depth\, precision\, and information. \nIn this talk\, I will introduce new in vivo deep tissue optical microscopy platforms advanced in microscope design and computational tools\, to address existing challenges. By moving towards longer wavelengths for one-\, two-\, and three-photon microscopy\, we have achieved simultaneous deep structural and functional imaging through an entire cortical column with multiple label-free and fluorescence contrasts. With precise control of light\, we have enabled adaptive optical imaging of dendritic spines and myelinated axons up to the hippocampus. With a new AI-enabled tool\, we have sped up volumetric 3D imaging for microvasculature\, neurons\, and dendrites. These techniques advance toward imaging the dynamic\, cell-type-specific processes and microvasculature within the living brain. I will conclude by discussing the opportunities these enabling optical microscopy techniques offer for biology and clinical applications.
URL:https://seasevents.nmsdev7.com/event/be-seminar-fei-xia-ecole-normale-superieure/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240202T103000
DTEND;TZID=America/New_York:20240202T114500
DTSTAMP:20260403T191256
CREATED:20240126T155547Z
LAST-MODIFIED:20240126T155547Z
UID:10007831-1706869800-1706874300@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP on Robotics: John Doyle\, California Institute of Technology\, "Control/Architecture/Control"
DESCRIPTION:This is a hybrid event with a VIRTUAL SPEAKER. There will be in-person attendance in Wu and Chen and virtual attendance on Zoom. \nABSTRACT\nThis talk will describe progress in developing a universal theory of architectures for complex networks\, motivated by and applied to aerospace\, process control\, internet\, cyberphysical\, ecosystems\, multiscale physics\, turbulence\, biology\, neuroscience\, medicine\, linguistics\, and social systems.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-john-doyle-california-institute-of-technology-control-architecture-control/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240202T140000
DTEND;TZID=America/New_York:20240202T150000
DTSTAMP:20260403T191256
CREATED:20240123T174255Z
LAST-MODIFIED:20240123T174255Z
UID:10007821-1706882400-1706886000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Exploring the landscape of model representations"
DESCRIPTION:Many studies adopt low-resolution\, coarse-grained (CG) models to investigate polymers\, proteins\, and other soft materials. These studies must first specify the details that are retained in the low-resolution model\, i.e.\, they must specify the “CG representation.” Unfortunately\, the “best” representation for complex systems is not always obvious. In this study\, we systematically explore the space of model representations for a typical protein and we examine how the properties of the CG model depend upon the choice of representation\, i.e.\, the details retained in the CG model. By adopting a simple high-resolution model for protein fluctuations\, we quantitatively assess the quality of a representation based upon its information content\, I\, and spectral quality\, Q. While I quantifies the information lost due to eliminating details from the high-resolution model\, Q quantifies the extent to which the representation preserves large scale motions. By employing these metrics as energy functions and adopting an ergodic move set\, we explore the local and global minima in the space of representations. Additionally\, by employing Monte Carlo methods\, we quantify the number of representations with a given quality. We find that representations with high spectral quality match our physical intuition\, while highly informative representations do not. Indeed\, we find that the information content and spectral quality are anti-correlated among low-resolution representations. Moreover\, our study suggests the possibility of a critical resolution below which there may exist a “phase transition” distinguishing good and bad representations. These studies may provide insight for developing CG models of soft materials and\, more generally\, for developing reduced representations of complex phenomena or high-dimensional data.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-exploring-the-landscape-of-model-representations/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
END:VCALENDAR