- Sep 241:00 PMThe Current Landscape of Diversity, Equity, and Inclusion at UConn and in Higher EducationParticipants will be updated as to current DEIJ initiatives at UConn. Additional, participants will be updated as to current national pushes to dismantle DEIJ in higher education and discuss the implications of this push to dismantle DIEJ. Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3188 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3188)
- Sep 241:30 PMLet's Talk with AshleyStudents who may benefit from attending a Let's Talk: Mental Health Office Hours session include:Students who want help connecting to resources but are unsure where to begin Students who are looking for advice on a non-clinical issue Students who are unsure about therapy and are curious about what it is like to talk to a therapist Students who may have concerns about the mental health of a friend and seek advice on how to support their friend If a student is not an imminent risk, and is refusing your support in contacting our office, you may also consider contacting the UConn Student CARE Team (https://studentcareteam.uconn.edu/). This session is held by Ashley Smith, M.A. (https://studenthealth.uconn.edu/person/ashley-smith/)
- Sep 242:30 PMInterpersonal Group for Graduate StudentsInterpersonal Group for Graduate Students Graduate Students Interpersonal Groups focuses on promoting emotional wellbeing as you balance academics, relationships, family, and personal responsibilities. Groups offer a supportive confidential space to share your concerns, practice skills and get feedback.To join this group therapy session, please call SHaW at 860-486-4700 (tel:+18604864705) This session is held by Carlos- Gonzalez- Martinez, LCSW (https://studenthealth.uconn.edu/person/carlos-gonzalez-martinez/) For many concerns that students face – like overwhelming stress, anxiety, difficult relationships, depression, academic difficulties, and more – group therapy is the best option for support and healing. Facilitated by Student Health and Wellness (SHaW) counselors, our therapy groups encourage peer support, promote emotional wellbeing, and increase a felt sense of connection. Participants often find that they feel less alone in their struggles, and walk away with newfound support and ideas for coping.
- Sep 242:30 PMUsing the Gradebook in HuskyCT Ultra Course ViewIn this session, you will learn to set up and manage your Gradebook to accurately record and calculate student grades in the new Ultra Course View of HuskyCT. We will cover specific settings and features such as the different types of calculations, using categories, and working with the different Gradebook views that are available to instructors. We will also cover how to send a grade column to Student Admin for midterm and final grade submission. 09/24/2024 2:30pm - 3:30pm Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3166 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3166)
- Sep 243:00 PMDoctoral Dissertation Oral Defense of Shanglin ZhouTitle: Model Sparsification on Emerging Applications and Technologies Ph.D. Candidate: Shanglin Zhou Major Advisor: Dr. Caiwen Ding Co-Major Advisor: Dr. Krishna Pattipati Associate Advisors: Dr. Cunxi Yu, Dr. Zhijie Shi Date/Time: Tuesday, September 24th, 2024, 3:00pm - 4:00pm Location: Virtual Abstract: Deep neural networks (DNNs) with higher accuracy often lead to larger models, increasing storage and energy demands. Model sparsification can reduce size but risks compromising accuracy. Balancing these factors is challenging, especially as traditional processors struggle with the requirements of low-power, real-time DNNs, highlighting the need for more efficient solutions. In this thesis, we explore model sparsification in emerging applications. We propose an optimization approach using Surrogate Lagrangian Relaxation (SLR) for weight sparsification, streamlining the typical time-consuming three-step pipeline. It enables faster convergence and maintains high accuracy, even during hard-pruning, with rapid recovery in retraining. We explore two primary emerging applications: (1) Energy-harvesting devices that require dynamic power management. We introduce EVE, an AutoML framework using SLR-based sparsification to find optimal multi-models with shared weights, reducing memory use and adapting to changing environments. (2) Diffractive Optical Neural Networks (DONNs) that are fast and energy-efficient but suffer from accuracy degradation due to interpixel interactions. We propose a physics-aware optimization framework for DONNs, incorporating SLR-based sparsification and roughness modeling to smooth phase changes and preserve accuracy. Additionally, we extend our research to multi-task learning (MTL) with DONNs, which traditionally requires manual reconfiguration. We propose LUMEN-PRO, an automated MTL framework that utilizes a flexible DONN backbone. By rotating shared layers instead of storing task-specific ones, LUMEN-PRO reduces memory usage and enhances accuracy, enabling efficient and high-performance DONNs across various tasks.
- Sep 243:00 PMDoctoral Dissertation Oral Defense, Shanglin ZhouTitle: Model Sparsification on Emerging Applications and TechnologiesAbstract:Deep neural networks (DNNs) with higher accuracy often lead to larger models, increasing storage and energy demands. Model sparsification can reduce size but risks compromising accuracy. Balancing these factors is challenging, especially as traditional processors struggle with the requirements of low-power, real-time DNNs, highlighting the need for more efficient solutions.In this thesis, we explore model sparsification in emerging applications. We propose an optimization approach using Surrogate Lagrangian Relaxation (SLR) for weight sparsification, streamlining the typical time-consuming three-step pipeline. It enables faster convergence and maintains high accuracy, even during hard-pruning, with rapid recovery in retraining.We explore two primary emerging applications: (1) Energy-harvesting devices that require dynamic power management. We introduce EVE, an AutoML framework using SLR-based sparsification to find optimal multi-models with shared weights, reducing memory use and adapting to changing environments. (2) Diffractive Optical Neural Networks (DONNs) that are fast and energy-efficient but suffer from accuracy degradation due to interpixel interactions. We propose a physics-aware optimization framework for DONNs, incorporating SLR-based sparsification and roughness modeling to smooth phase changes and preserve accuracy.Additionally, we extend our research to multi-task learning (MTL) with DONNs, which traditionally requires manual reconfiguration. We propose LUMEN-PRO, an automated MTL framework that utilizes a flexible DONN backbone. By rotating shared layers instead of storing task-specific ones, LUMEN-PRO reduces memory usage and enhances accuracy, enabling efficient and high-performance DONNs across various tasks.
- Sep 243:00 PMUConn Sexpert Drop-In HoursUConn Sexpert Peer Support Drop-In Hours are a new, free service offered by peer health educators, the UConn Sexperts, on the UConn Storrs campus! Peer Support Drop-In Hours are a great option for students who have questions about sex and sexual health, are looking for a non-judgmental, laid-back environment to discuss a sex related concern or issue, or are interested in improving their sexual health and personal well-being. Our UConn Sexperts are trained to provide education, support, and connection to resources on and off-campus on a wide variety of topics pertaining to sex, sexual health, and relationships. Mondays: 11:00am-4:00pm Tuesdays: 3:00pm-6:30pm Wednesdays: 10:30am-6:30pm Thursdays: 3:30pm-6:30pm Fridays: 10:30am-5:00pm UConn Sexperts (and supervising staff) are designated confidential employees under UConn's Title IX Reporting Obligations. Peer support sessions are for educational and support purposes only. Peer support visits are not on-call or emergency services, and are not for individualized medical advice, nor are they counseling or therapy. For more information, visit www.studenthealth.uconn.edu/sexperts
- Sep 243:30 PMAnalysis and Probability Seminar Sergey Nadtochiy (Illinois Institute of Technology) Cascade equation for Stefan problem as a mean field gameAbstract. The solutions to Stefan problem with Gibbs-Thomson law (i.e., with surface tension effect) are well known to exhibit singularities which, in particular, lead to jumps of the associated free boundary along the time variable. The correct times, directions and sizes of such jumps are only well understood under the assumption of radial symmetry, under which the free boundary is a sphere with varying radius. The characterization of such jumps in a general multidimensional setting has remained open until recently. In our recent work with M. Shkolnikov and Y. Guo, we derive a separate (hyperbolic) partial differential equation — referred to as the cascade equation — whose solutions describe the jumps of the solutions to the Stefan problem in the absence of any symmetry assumptions. It turns out that a solution to the cascade equation corresponds to a minimal element of the set of equilibria in a family of (first-order local) mean field games. In this talk, I will present and justify the cascade equation, will show its connection to the mean field games, and will prove the existence of a solution to the cascade equation.
- Sep 243:30 PMInterpersonal Group for Undergraduate StudentsInterpersonal Group for Undergraduate Students Undergraduate Students Interpersonal Groups focuses on promoting emotional wellbeing as you balance academics, relationships, family, and personal responsibilities. Groups offer a supportive confidential space to share your concerns, practice skills and get feedback.To join this group therapy session, please call SHaW at 860-486-4700 (tel:860-486-4705). This session is held by Maritza Lugo-Stalker, (https://studenthealth.uconn.edu/person/maritza-lugo-stalker/) For many concerns that students face – like overwhelming stress, anxiety, difficult relationships, depression, academic difficulties, and more – group therapy is the best option for support and healing. Facilitated by Student Health and Wellness (SHaW) counselors, our therapy groups encourage peer support, promote emotional wellbeing, and increase a felt sense of connection. Participants often find that they feel less alone in their struggles, and walk away with newfound support and ideas for coping.
- Sep 243:30 PMLabor, Development & Health Workshops: Abby Alpert
- Sep 243:30 PMLavender Resilience Collective September SeriesUConn Student Health and Wellness and the Rainbow Center are excited to announce the return of the Lavender Resilience Collective. The Lavender Resilience Collective is an educational support group opportunity that offers educational support for LGBTQIA+ UConn students to interrupt internalized bias based on our unique/dual identities. Together, students will learn new tools to help build resilience and feel empowered to be their authentic selves. Open to both undergraduate and graduate students across all of UConn's campuses. Virtual September 10th, 17th, and 24th 3:30 PM- 5:00 PM To sign up, follow this link: https://forms.office.com/r/83mbCrzTqt
- Sep 243:30 PMLLAS Faculty/Staff Meet & GreetWe invite UConn faculty and students to the LLAS (Latino and Latin American Studies) Faculty/Staff Meet & Greet. Mingle with other students and faculty, enjoy delicious food, and get to know our space. All are welcome. Please RSVP for your spot today!
- Sep 243:30 PMMCB Seminar Series: Michael GuertinMichael GuertinAssociate Professor, UConn Health Host: Leighton CoreMechanisms of direct repression by a transcription activatorThe term context specific is often vaguely invoked to describe transcription factors that have both activation and repression functions. In the seminar, I will define the context and molecular mechanisms of transcription factor-mediated cis activation and repression.Bio: Coordinate transcription regulation is central to development, drug responses, environmental feedback, and transcriptional dysregulation can lead to disease. The Guertin lab's greatest contribution to science has been to define the rules by which transcription factors determine where to bind in the genome and how transcription factors discriminate between genes to regulate.Link to publication (https://doi.org/10.1101/2024.05.13.594008)Guertin Lab Website (http://www.guertinlab.org)
- Sep 244:00 PMGroup Fitness Class – BarreFor the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Sep 244:00 PMGroup Fitness Class – Spin (45)For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Sep 244:00 PMGroup Fitness Class – Total Body StrengthFor the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Sep 244:00 PMPet TherapyPause for Paws! Take a break from your school work and come spend a little time with one of therapy dogs from Tails of Joy. Pet Therapy is known to reduce stress, anxiety and to build empathy. Plus, the dogs are just so cute and adorable!
- Sep 244:00 PMStorrs Workshop: Talking to Professors
- Sep 245:00 PMBoba Party and Just DanceWe will be having boba and playing Just Dance in WREC 402 from 5-6 PM on September 24th, 2024! Please Join Us!
- Sep 245:00 PMDocumentary on Mansfield Training School Resident: "Fred's Story"FRED'S STORY (https://iisp.media.uconn.edu/wp-content/uploads/sites/166/2024/09/Freds-Story-Poster-1.jpg) A documentary screening and discussionTUESDAY, SEP 24, 5PM Babbidge Library 2nd Floor Video Theater 2 (2119A) Please join us for a film screening and discussion that will shed light on the perspective of those who were residents of Mansfield Training School. "Fred's Story" is a 27-minute documentary about Fred Calabrese, who spent 30 years at Mansfield Training School after family members had him committed. The documentary was made by Eric Neudel in 1996 and features conversations with Fred, who lived and worked in Willimantic in the years following his release from Mansfield Training School. The documentary also includes archival film produced in 1964 by the Connecticut Department of Health promoting the school's policies and procedures. The screening will be followed by a Q&A discussion, which will include members of the Mansfield Training School Memorial and Museum Project (https://mtsmemorialmuseumuconn.com/). This event is free and open to the public. It is sponsored by UConn's Individualized and Interdisciplinary Studies Program (https://iisp.uconn.edu/).
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