For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

Abstract:While routing in wireless networks has been studied extensively, existing protocols are typically designed for specific network conditions and fail to accommodate dynamic changes. In this dissertation, our goal is developing routing strategies that generalize to diverse traffic patterns, congestion levels, link dynamics, and node mobility. We develop a framework that use deep reinforcement learning (DRL) to achieve this goal.The first part of the dissertation focuses on stationary wireless networks. We achieve generalizability using relational features as inputs to the deep neural network, and scalability using packet-centric decision-making, extended-time actions, and sampling-based training. Using a packet-level simulator, we evaluate our routing algorithm extensively and show that the policy our algorithm learns during training is able to generalize to larger and more congested networks, different topologies, and diverse link dynamics. Our algorithm outperforms shortest path and backpressure routing with respect to packets delivered and delay per packet.Building on the above results, the second part of the dissertation focuses on mobile wireless networks, which is significantly more challenging than stationary networks. To support a wider range of mobile network conditions, we are currently developing a more robust, generalizable base model. This effort will require the design of new features and the exploration of novel learning approaches to ensure that the learned policy is effective in environments that differ significantly from its training data.

Many instructors administer online assessments through HuskyCT, and this overview session is an introduction to the Test and Assignment tools in the Ultra Course View version of HuskyCT. We will cover the basics of these tools to ensure a smooth experience for both you and your students. We will focus on creating different types of assessments and a review of the options that determine the test-taking experience for your students. We will also touch on some of the other third-party assessment tools available to instructors, such as Gradescope. Register – https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3597 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3597)

Seeking a part time job during the academic year? Meet employers from local businesses seeking to hire UConn students for various part time positions. Gain core competencies essential for career readiness, such as teamwork, communication skills, and professionalism through these early work experiences. Register Here (https://uconn.12twenty.com/events/30006101277874)

Algebra Seminar - Faculty introductions Rebecca Bellovin, Keith Conrad, and Mihai Fulger (all members of the Algebra Group in the Mathematics Department) will give 10-minute talks related to their area of research.

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

GI Grand Rounds conferences take place weekly on Wednesdays at noon via Webex. Please contact Amy Pallotti to be added to detailed conference announcement emails.

MEDS 6497 Neuroscience Journal Club "Activity-dependent degradation of Kv4.2 contributes to synaptic plasticity and behavior in Angelman syndrome model mice." Presenter: Deepa Anjan Kumar, Levine Lab Course Co-Directors: Paola Bargagna-Mohan: bargagna-mohan@uchc.edu (mailto:bargagna-mohan@uchc.edu) Alice Burghard: burghard@uchc.edu (mailto:burghard@uchc.edu)

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

This event is hosted by the UConn Law Arts, Entertainment, & Sports Law Society. We will be providing lunch to students and staff while we discuss the mission of our society, our upcoming events, and how students can get involved now.

CLAS Academic Services Center is offering a series of Campus Connection Workshops to all College of Library Arts and Science Students. Come meet Officer Justin and pet K9 Jazmine (new to the PD crew) - learn resources to keep yourself safe on campus, police services, and learn how to get involved. Officers are available to talk with students and there will be free swag. The event will be help outside of the CLAS ASC office (Rowe 130). Hope to see you there!

Get comfortable using: HuskyCT, StudentAdmin, Nexus, and other online tools you'll need for your classes at UConn. This workshop will show you how to find what you need, keep track of your work, and feel more confident using the technology that supports your academic success.

Brandon Manley, Ohio State UniversityDijet production as a probe for the orbital angular momenta of partons in the proton Despite almost four decades of progress, the proton spin puzzle remains one of the longest standing open problems in hadronic physics. In particular, the orbital angular momentum (OAM) distributions of the partons inside the proton have remained particularly elusive and to date have not yet been extracted from experimental data. In this talk, we propose elastic production of dijets from electron-proton collisions as a probe for the OAM distributions at small values of Bjorken x. Building on the pioneering proposals of Hatta et al and Bhattacharya et al, our focus is on both the longitudinal double spin asymmetry (DSA) and longitudinal single spin asymmetry (SSA) at small x. We compute the numerators of these asymmetries in the small-x formalism of the light cone operator treatment. We demonstrate that the DSA provides a robust probe for both the quark and gluon OAM distributions within the proton. In contrast, we find that while the SSA is also sensitive to the OAM distributions, extraction of the latter from the SSA would require new developments in small-x theory and phenomenology and is probably not feasible at this point in time. These findings highlight the potential of DSA measurements in elastic dijet production at the future Electron-Ion Collider to provide the first-ever direct access to the quark and gluon OAM distributions at small x, paving the way for new insights into the proton spin puzzle.

Students 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 Graciela Quinones-Rodriguez, LCSW (https://studenthealth.uconn.edu/person/graciela-quinones-rodriguez/)

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

The Involvement Fair - UConn's largest, free event that is open to all students, faculty & staff. Join the 400+ student organizations and university programs to find new ways to connect, make friends, and get involved! From academic, volunteer, performance, sporting, and many special interest groups, the Involvement Fair offers the opportunity to find out about great organizations! Getting involved can help you make friends, build your resume, expand your horizons, develop your leadership skills, and have fun all while doing something that interests you. For more information about the fair, click HERE (https://studentactivities.uconn.edu/involvement-fair/).

LockDown Browser is a custom browser that locks down a student's computer when used for administering a test through HuskyCT. Monitor is an additional feature that uses a student's webcam to record them taking their test, which provides a means to review the student's testing environment. When taking a test using LockDown Browser, students are unable to print, copy, go to other websites, access other applications, or close a test until it is submitted for grading, and Monitor creates a video record of the time they spent taking the test. This session will cover the use of LockDown Browser and Monitor for tests, quizzes, and exams in your course, including recommended settings and best practices. Register – https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3598 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3598)