Penn Engineering Events

CBE PhD Dissertation Defense | Hydrodeoxygenation of Biomass-Derived Model Compounds Over Bifunctional Catalysts
2021-04-23 11:00 - 12:30 (America/New_York) | Zoom – Email CBE for link
Abstract:
The negative social and environmental impacts from burning of fossil fuels motivated the development of renewable and sustainable sources for the production of electricity such as wind and solar. Lignocellulosic biomass has emerged as a promising feedstock for carbon-based fuels and chemicals and much research effort has recently been directed at developing efficient catalytic pathways for the upgrading of lignin-derived oxygenate into useful products. This dissertation aimed to study the viability of utilizing bifunctional catalysts consisting of a transition metal either supported on or modified by a reducible metal oxide to promote the direct C-O bond cleavage in aromatic oxygenates (m-cresol). Surface science techniques such as HREELS, XPS and TPD were used to provide insights into the reaction pathway and mechanism of this reaction. In all studies featured in this thesis, transition metals such as Pt and Ni, exhibit moderate selectivity to desired product, toluene. It was found that the strong interaction between aromatic rings and metal surfaces facilitates the ring hydrogenation which forms an intermediate pool. While metal catalysts promoted by WOx and NbOx are extremely active and selective for the direct deoxygenation reaction. The interaction at the metal-metal oxide interfaces helps keep the metal oxide partially reduced and provide the active bonding sites for the adsorption of hydroxyl group. It was also found that the m-cresol tends to adsorb on oxygen vacancies while the aromatic rings is tilted away from the surface. This bonding configuration would promote the direct deoxygenation of hydroxyl group.

GRASP On Robotics: “Autonomous, Agile Micro Drones: Perception, Learning, and Control”
2021-04-23 11:00 - 12:30 | Zoom
Abstract: Autonomous quadrotors will soon play a major role in search-and-rescue, delivery, and inspection missions, where a fast response is crucial. However, their speed and maneuverability are still far from those of birds and human pilots. High speed is particularly important: since drone battery life is usually limited to 20-30 minutes, drones need to fly faster to cover longer distances. However, to do so, they need faster sensors and algorithms. Human pilots take years to learn the skills to navigate drones. What does it take to make drones navigate as good or even better than human pilots? Autonomous, agile navigation through unknown, GPS-denied environments poses several challenges for robotics research in terms of perception, planning, learning, and control. In this talk, I will show how the combination of both model-based and machine learning methods united with the power of new, low-latency sensors, such as event cameras, can allow drones to achieve unprecedented speed and robustness by relying solely on onboard computing.
Click here to join the Zoom Webinar

PICS Colloquium: "Network-Based Characterization, Modeling, and Control of Fluid Flows"
2021-04-23 14:00 - 15:00 | Zoom – email kathom@seas.upenn.edu
The network of interactions in a sea of vortices gives rise to the amazingly rich dynamics of fluid flows. To describe these interactions, we consider the use of mathematical tools from the emerging field of network science that is comprised of graph theory, dynamical systems, data science, and control theory. In this presentation, we discuss ways to describe unsteady fluid flows with vortical-interaction, modal-interaction, and probability-transition networks. The insights gained from these formulations are used to characterize, model, and control laminar and turbulent flows. We will also discuss some of the challenges of applying network based techniques to fluid flows and the prospects of addressing them through data-inspired techniques.

ODEI Town Hall Discussion of the Chauvin Trial Verdict
2021-04-23 16:00 - 17:00 | PA
This past week a jury in Minneapolis rendered its verdict in the trail of Derek Chauvin. While this verdict cannot undo the trauma that George Floyd’s family and the entire country experienced, it is one step towards building a society where justice and accountability are guaranteed for all citizens. In order to support the Penn SEAS community, the Office of Diversity, Equity and Inclusion will be hosting an informal Town Hall this Friday April 23 from 4-5PM EST for anyone interested in processing the events of this week and in building community so we emerge stronger.
Dr. Vincent Walford and Alaina Spiegel, PsyD from CAPS will be taking part in this discussion to lend their professional guidance and support.

Join Zoom Meeting:
https://upenn.zoom.us/j/94715341128?pwd=[REDACTED]
Meeting ID: 947 1534 1128
Passcode: [REDACTED]

ODEI Annual Banquet: Resiliency and Intentionality in Engineering
2021-04-23 19:00 - 20:00 | PA
Come celebrate graduating Penn Engineering students, network with alumni, socialize with current students, and play games for chances to win prizes! Penn Engineering alumna Faith Taliaferro will be a guest speaker. You don’t want to miss it!
Join Zoom: https://upenn.zoom.us/j/95920893362
Please RSVP here: https://forms.gle/QG3sAK3ikK7DjDqm7

PSOC Webinar: “Diet and metabolic therapeutics in cancer" (Jason Locasale)
2021-04-26 12:00 - 13:00 | PA
Title: “Diet and metabolic therapeutics in cancer”
Physical Sciences in Oncology Center PSOC@Penn
Spring 2021 Webinar Series Mondays at 12:00 noon (EST)
For webinar links, please contact manu@seas.upenn.edu.

MSE Seminar: "Predicting and Controlling Scalable Quantum Systems"
2021-04-26 13:00 - 14:00 | PA
Quantum materials host spectacular excited-state and nonequilibrium effects, but many of these phenomena remain challenging to control and, consequently, technologically underexplored. My group’s research, therefore, focuses on how quantum systems behave, particularly away from equilibrium, and how we can harness these effects. By creating predictive theoretical and computational approaches to study dynamics, decoherence and correlations in quantum systems, our work could enable technologies that are inherently more powerful than their classical counterparts ranging from scalable quantum information processing and networks, to ultra-high efficiency optoelectronic and energy conversion systems. In this talk, I will present work from my research group on describing, from first principles, the microscopic dynamics, decoherence and optically-excited collective phenomena in quantum matter at finite temperature to quantitatively link predictions with 3D atomic-scale imaging and quantum spectroscopy. Capturing these dynamics poses unique theoretical and computational challenges. The simultaneous contribution of processes that occur on many time and length-scales have remained elusive for state-of-the-art calculations and model Hamiltonian approaches alike, necessitating the development of new methods. I will show selected examples of our approach in ab initio design of active defects in quantum materials, and control of collective phenomena to link these active defects. Building on this, in the second part of my seminar, I will present promising physical mechanisms and quantum device architectures for coupling to other qubit platforms via dipole-, phonon-, and magnon-mediated interactions. Finally, I will discuss ideas in directly emulating quantum information systems, particularly addressing the issues of model abstraction and scalability, and present an outlook on various co-design strategies with algorithms efforts underway.
Register for the Zoom link here.

ODEI Spotlight: "Understanding Asian Racialized Trauma"
2021-04-27 11:00 - 12:00 | PA
Understanding Asian Racialized Trauma

Date: Tuesday, April 27

Time: 11:00AM EDT

This presentation aims to help the Asian international student body of Penn and allies to start a conversation, centering Asian perspectives, about the rising anti-Asian hate we are witnessing nationally. We will discuss the unique ways in which Asians living in America are racialized as well as what our trauma responses can look like – in our history, to our health, and across our campuses.
Jessica C. Kim, LCSW is a Korean American licensed clinical social worker with 15 years of experience as a therapist working with youth, adults, and families. She received her master’s degree in social work from Columbia University and also completed a fellowship in child and adolescent mental health at Yale University Child Study Center. She is currently a PhD student at the School of Social Policy and Practice at Penn. Her research interests surround the intersection of Asian American youth & families and culturally reflexive mental health practice.

REGISTER HERE

Neural Networks for Machine Learning: A Symposium to Honor Kunihiko Fukushima, Recipient of the 2021 Bower Award and Prize for Achievement in Science
2021-04-28 09:00 - 13:00 | PA
The School of Engineering and Applied Science is honored to co-organize, with Drexel University and the Franklin Institute, a symposium to honor the Bower Awardee, Kunihiko Fukushima, the inventor of the Neocognitron. Dr. Fukushima joins a list of many distinguished laureates of the Franklin Institute – of these over 90 laureates have later received the Nobel Prize.
Dr. Fukushima has received the Bower Award “for his pioneering research that applied principles of neuroscience to engineering through his invention of the first deep convolutional neural network, “Neocognitron”—a key contribution to the development of artificial intelligence.”
https://www.fi.edu/awards
Register Here: https://tinyurl.com/BowerFukushima

ODEI Spotlight: FGLI Community Forum
2021-04-28 14:00 - 15:00 | PA
Wednesday, April 28 | 2:00PM EDT
Join Penn First Plus, PENNCAP and CAPS (Counseling and Psychological Services) for a community forum focusing on learning more about CAPS, its services, and ways in which FGLI students can utilize CAPS services during the semester and summer.
Zoom Link: P1P/CAPS/PENNCAP Community Forum »

ODEI Spotlight: PAACH & ASAM End-of-Year Celebration
2021-04-29 20:00 - 21:00 | PA
PAACH & ASAM
End-of-Year Celebration
Help us honor our 2020 and 2021 graduates, recognize our incredible community leadership, and reflect on our challenges and triumphs of this past year.
4pm-6pm: GRAB AND GO GIVEAWAY FOR 2020 & 2021 GRADUATES
Meet us at a table in front of the ARCH Building (36th and Locust)! Get your PAACH stole, T-shirts and other goodies!!
8pm-9pm: VIRTUAL END-OF-YEAR CELEBRATION W/ PAACH & ASAM @ GATHERTOWN
Join our virtual gathering to celebrate our diverse, resilient communities. Congratulate our graduating students and don’t miss a special guest speaker appearance at the beginning!!
All students (undergrad, grad & professional), faculty, staff, post-docs, alumni, and local community partners are welcome!
Register Here: bit.ly/paachasam

ODEI Spotlight: Fireside Chat with Former Ambassador Gary Locke on U.S.-China Relations and Stopping Anti-Asian Racism
2021-04-29 21:00 - 22:00 | PA
Thursday, April 29 | 9PM EDT (Friday, April 30 | 9AM Beijing Time)
Former Ambassador to China, Former Governor of Washington State, and Interim President at Bellevue College Gary Locke has been at the forefront of addressing and combating Anti-Asian Racism as U.S.-China relations deteriorate. As a representative of the Asian American community, he is bringing his diplomatic expertise to join Penn Law Professor Jacques deLisle in discussing U.S.-China relations and the ongoing social campaign against the surge of hatred, violence, and discrimination against Asians.

Register: Fireside Chat with Ambassador Locke »

MEAM Thesis Defense: "Inkjet Printed Neuromorphic Inference Circuits with Memristor-Based Neuron Network"
2021-04-30 10:30 - 11:30 | Zoom – Email MEAM for Link, peterlit@seas.upenn.edu
The deployment of machine learning inference algorithms on Internet of Things (IoT) devices remains challenging. Despite the low fabrication cost, flexibility, and low power consumption of the printed electronics for IoT applications, there are not many demonstrations of printed electronics solving neural network tasks, mainly due to the poor electrical performance, low device yield, and large footprint of printed thin-film transistors. In this study, we design and fabricate an inkjet-printed all-passive neuromorphic circuit based on printable memristor neuron architecture. The fully inkjet printed memristor is based on Ag/Poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS)/Ag. It shows bipolar resistance switching with low switching voltage (0.1~0.2V), good stability (9 days), high cyclability (200 cycles), and a large ON-to-OFF resistance margin (~40). A write-once-read-many times (WORM) memory is also observed in the proposed memristor when a large voltage (~3V) is applied. To present the neuromorphic computing capability, we fabricated the circuit that can realize the XOR classification problem with 100% accuracy, 0.7 cm2 size, and power consumption of 0.68 mW, by integrating the inkjet printed memristors with inkjet printed silver resistors. After establishing the device model of the inkjet printed memristors, we demonstrate via SPICE circuit simulations how a shallow network of memristor-resistors-based passive neuron networks can solve the IRIS classification problem with 95% accuracy and 2 mW power consumption. By providing the fabrication and simulation of the proposed memristor-based shallow multilayer perceptron, this thesis paves the way for low-power and low-cost neuromorphic inference devices for future applications of IoT.

PSOC Webinar: “Revisiting the Reciprocal Mechanical Interactions Between Cancers and Tissue“ (Bo Sun)
2021-05-03 12:00 - 13:00 | https://upenn.zoom.us/j/96715197752
Title: “Revisiting the Reciprocal Mechanical Interactions between Cancers and Tissue”

Physical Sciences in Oncology Center PSOC@Penn
Spring 2021 Webinar Series Mondays at 12:00 noon (EDT)
For webinar links, please contact manu@seas.upenn.edu

ESE Seminar: "Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories"
2021-05-03 15:00 - 16:00 | https://upenn.zoom.us/j/96715197752
Reinforcement learning (RL), which is frequently modeled as sequential learning and decision making in the face of uncertainty, is garnering growing interest in recent years due to its remarkable success in practice. In contemporary RL applications, it is increasingly more common to encounter environments with prohibitively large state and action space, thus imposing stringent requirements on the sample and computational efficiency of the RL algorithms in use. Despite the empirical success, however, the theoretical underpinnings for many popular RL algorithms remain highly inadequate even for the tabular setting.
In this talk, we present two vignettes regarding the effectiveness of RL algorithms. The first vignette demonstrates that a perturbed model-based RL approach is minimax optimal under a generative model, without suffering from a sample size barrier that was present in all past work. The second vignette covers policy optimization in reinforcement learning. On the one hand, we demonstrate that the popular softmax policy gradient method can take exponential time to converge; on the other hand, employing natural policy gradients and enforcing entropy regularization provably achieve fast global convergence. These results cover two distinctive RL paradigms, and might shed light on the efficacy of these algorithms in more complicated scenarios.
For the seminar link, email Danielle T. Kopicko at dtadros@seas.upenn.edu.

May 2021 Robotics Master’s Thesis Presentations
2021-05-07 09:30 - 12:15 | Zoom
9:30am – Welcome from Ani Hsieh
9:35am – Weiyu Du
“Learning Human Affordance in the Wild”
Advised by: Jianbo Shi
9:55am – Jie Min
“Instance-aware imagesuper-resolution”
Advised by: Jianbo Shi
10:15am – Shenghao Zhou
“Image Synthesis with Latent Space Embedding”
Advised by: Jianbo Shi
10:35am – Jun Wang
“Model Based Robust SemanticSegmentation”
Advised by: George Pappas and HamedHassani
10:55am – Nicole Chiou
“Cross-Domain Transfer Learning withMulti-Task Learning for Cardiac Arrhythmia Classification”
Advised by: Rahul Mangharam (ROBOAdvisor: Eric Eaton)
11:15am – Jianxiong Cai
“Deep Hypothesis Testing Network for Monocular Time-to-collision Prediction with Front-end Spatial-Temporal Transformation”
Advised by: CJ Taylor
11:35am – Brandon Gonzalez
“Exploring Development of NovelSensor Systems for Occupancy Detection”
Advised by: CJ Taylor and MadhuAnnapragada
11:55am – Adarsh Kulkarni
“Deep Learning of FootstepPlanning for Legged Robots on Unstructured Terrain”
Advised by: CJ Taylor
12:15pm- End
Join the Robotics Master’s Thesis Presentations through Zoom:
Zoom Link: https://upenn.zoom.us/j/99255734129?pwd=[REDACTED]
Meeting ID: 992 5573 4129
Passcode: [REDACTED]

ODEI Spotlight: Conversations with GABE about our Classrooms and Diversity
2021-05-07 13:30 - 15:00 | PA
This event will have two sessions. You are encouraged to attend both. Each session is 45 minutes long. The first session is for students only, and it provides a platform for students to discuss openly about factors that make graduate school difficult. The second session is a moderated Q&A. This session aims to acquaint students with BE faculty members passionate about advancing the department’s diversity and inclusion efforts. Panelists will give a quick introduction to who they are and why diversity and inclusion is important to them. We would also discuss initiatives that the BE program and school of engineering have implemented addressing diversity and inclusion (removal of GRE requirement, formation of a DEI/DE committee, etc.). Finally, some potential topic of conversations:

How has engaging diverse students in the virtual environment been similar or different for you as faculty? How can engagement be encouraged?
What are the core issues of diversity and inclusion (from the perspective of faculty members), and what steps can be taken to address them?
International students are an important part of the Penn Engineering Community. How is the bioengineering department assisting their inclusion?

Zoom: https://upenn.zoom.us/j/99110942740

ODEI Spotlight: Lavender Graduation
2021-05-07 17:00 - 18:00 | PA
Please note that this event is only open to students graduating from the University of Pennsylvania. You are welcome to participate even if you were not actively involved with the Penn LGBT Center or any of the LGBTQ+ student organizations. We still want to recognize your accomplishments!
Registration Link: https://upenn.co1.qualtrics.com/jfe/form/SV_eeQ0rQM2jc1D7IG

ODEI Spotlight: Greenfield Intercultural Center, Honoring our Graduates (Virtual Event)
2021-05-08 12:00 - 13:00 | PA
Join us in honoring our Class of 2021 Greenfield Intercultural Center graduates.
Family, friends, partners, and mentors are all welcome!
SATURDAY, MAY 8, 2021 | 12:00 – 1:00 P.M. EDT
RSVP: https://bit.ly/Honoring2021Grad

PSOC Webinar: "Normal and cancer cell division and the importance of being well rounded" (Buzz Baum)
2021-05-10 12:00 - 13:00 | PA
Physical Sciences in Oncology Center PSOC@Penn
Spring 2021 Webinar Series Mondays at 12:00 noon (EST)
For webinar links, please contact manu@seas.upenn.edu.
Title: “Normal and cancer cell division and the importance of being well rounded”

ODEI Spotlight: GIC Intercultural Community Check-In
2021-05-10 19:00 - 20:00, 2021-05-11 10:00 - 11:00 | PA
The surge of COVID-19 is worrisome for many in our Penn community, with impacts being felt in the U.S. and globally in India and areas of South America, Europe and the Middle East. Please know that you are not alone. We invite you to join us in community as we listen and hold space for students experiencing uncertainty and isolation. ALL ARE WELCOME!
Feel free to attend one or both sessions:
Monday May 10: 7 p.m. (EST)
Tuesday May 11: 10 a.m. (EST)
Register Here

Penn Engineering Celebrates URM Student Achievements
2021-05-12 16:00 - 17:00 | PA
A virtual celebration of the outstanding achievements of Penn Engineering’s Class of ’21 URM graduates. More details to come soon!

Zoom: https://upenn.zoom.us/j/96319152909
Pass Code: [REDACTED]

Penn Engineering Commencement: Doctoral Ceremony Virtual Recognition
2021-05-13 10:00 - 11:00 | PA
Join us to hear a message from Dr. Vijay Kumar, Nemirovsky Family Dean of Penn Engineering, and view a virtual roll call of the Class of 2021 doctoral graduates, complete with video messages from our graduates and members of the Penn Engineering faculty. Learn more.

Penn Engineering Commencement: Undergraduate and Master’s Virtual Recognition
2021-05-14 10:00 - 11:00 | PA
Join us to hear a message from Dr. Vijay Kumar, Nemirovsky Family Dean of Penn Engineering, remarks from student speakers and respected alumni, and messages from professors and parents. In addition, we will host a virtual roll call for the Class of 2021 undergraduate and master’s graduates and each student will be recognized with their own individual tile. Learn more.

ODEI Alumni Board Alumni Weekend Event
2021-05-14 19:00 - 20:00 | PA
The Office of Diversity, Equity, and Inclusion Alumni Board (ODEIAB) would like to invite you all to our Penn Alumni Weekend event on Friday, May 14 at 7 PM EST on Zoom. Join us for an evening of fun: reminisce about past days in ODEI (or the Office of Multicultural Programs), catch up with old Penn friends, meet the members of ODEIAB and learn more about our initiatives, and participate in an auction in support of the Cora Ingrum Fund. If you’re available, we would love to see you! Please RSVP here if you are able to attend.
Zoom link for the event: https://upenn.zoom.us/j/91961421770

CBE PhD Dissertation Defense | Understanding the Dynamic and Mechanical Properties of Polymer under Nanoconfiements
2021-05-19 15:00 - 17:00 | Zoom – Email CBE for link
Abstract:
The dynamic properties of glassy polymers are well-known to change up confinement to the nanoscale. Confinement to free-standing thin films leads to an enhancement in the segmental dynamics, and changes in the chain conformation lead to changes in the entanglement density in confined polymers. In this study, we investigate the role of both segmental dynamics and changes in entanglement density on the mechanical response of glassy polymer films under uniaxial tension using molecular dynamics (MD) simulations. We find that entanglements near the chain ends are unable to carry significant stress at large deformation, and this leads to the development of a simple model to describe the number of effective entanglements per chain as a function of the blending ratio. We find an exponential scaling between the film toughness and number of effective entanglements per chain, which also agrees well with the trends observed in experimental measurements of film strength. Varying the film thickness uncovers competing effects between the reduction in entanglement density and changes in the segmental dynamics. In well-ordered diblock copolymer thin films, we find that failure tends to occur near the center of the block copolymer domains due to the high concentration of chain ends that are unable to support significant stress. Our studies of the thin film mechanics provide molecular insight into how segmental mobility and entanglements interplay with position and morphology to control the mechanics of thin polymer films.

MEAM Seminar: "Surface and Interface Engineering in Manipulation and Fabrication of Colloid-Based Sub-Microporous Hierarchical Materials and Their Applications"
2021-06-01 10:30 - 12:00 | Zoom – Email MEAM for Link, peterlit@seas.upenn.edu
Micro- and nano-porous hierarchical materials exhibit extraordinary mechanical, energy conversion, and optical properties, but manufacturing challenges prevent them from being fabricated at cm-length scales or larger while maintaining the dense regular nm features that enhance their properties. Using self-assembled particles as a template to fabricate metallic hierarchical structures is promising to overcome these challenges, but current fabrication approaches are significantly limited by the cracking problem in the assembled templates. This work focuses on understanding cracking mechanisms in particle templates and developing a crack-free self-assembly approach to fabricate cm-scale porous nickel hierarchical structures with sub-micrometer feature sizes and an ultrahigh tensile strength. The key to eliminating cracks in the assembled template is to manipulate the surface and interface properties of particles and substrates. The resulting nickel hierarchical structures have 30 nm grains, 100 nm features, and 260 MPa tensile strengths, which are 3X the strength of all porous metals at the same relative density, approach the theoretical strength limit for porous nickel, and are 10X the strength of prior nanolattices. Besides, a new way of controlling internal pore size of the resulting structures has been demonstrated by taking advantage of liquid bridging between particles. The fundamental insights and fabrication methods developed in this work further enable applications, such as immunomagnetic separation of exosomes and mechanochromic sensing.

CBE PhD Dissertation Defense | Designing MXene Catalysts for Clean Energy Chemistries using High-Throughput First-Principles Calculations and Data-Driven Methods
2021-06-02 10:00 - 12:00 | Zoom – Email CBE for link
Abstract:
The field of heterogeneous catalysis has been prompted to shift toward designing catalysts that can perform beneficial chemistries at ambient conditions. Such materials should have high activity and stability and avoid issues prevalent in other traditional catalysts that are not earth-abundant, chemically efficient, or with high selectivity to carry out these reactions. In this thesis, we study a new class of materials called 2D MXenes that have intriguing electronic and surficial properties. As a result, MXenes have been of interest for catalysis applications. However, previous literature on the theoretical exploration of MXenes as HER and NRR catalysts has modeled the basal plane functionalization to be pristine. To counter this, we model MXenes with different functional groups that demonstrate the extreme reactivity of the basal planes. However, just altering the basal plane functionalization does not encapsulate the tunability of MXenes for improving their catalytic activity.
Therefore, we study the effect of physicochemical changes to MXenes as catalysts for the electrochemical HER and NRR. We perform density functional theory calculations to predict the material properties and their interactions with H* and NxHy* intermediates. Such changes include altering chemical structure, doping, straining, supporting, and modifying functionalization. We find that of all these changes, functionalization has the greatest impact on adsorption energies and hence the NRR/HER activity. The sulfidation and biaxial straining of MXenes also increased the HER activity of terminated MXenes. We then compile all data and design a machine learning study where we featurize the data to predict the adsorption energies for these coupled reactions. Electronic structure features of the terminations on the basal plane show that sulfidation of MXenes improves NRR thermodynamics. This thesis pushes forward the catalysis field by elucidating the effect of tuning 2D materials to enhance their chemical activity and the usefulness of data analytics and machine learning to assist materials discovery of novel catalysts for the future clean energy economy.

PSOC Webinar: Amanpreet Kaur & Yogesh Goyal
2021-06-07 12:00 - 13:00 | https://upenn.zoom.us/j/96715197752
Join Zoom Meeting:
https://upenn.zoom.us/j/99334915941?pwd=[REDACTED]
Meeting ID: 993 3491 5941
Passcode: [REDACTED]
PSOC@Penn Summer Webinars 2021
Contact manu@seas.upenn.edu with any questions
Amanpreet Kaur 12:00-12:30 PM
Yogesh Goyal: 12:30-1:00 PM
