BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Institute for Digital Research and Education - ECPv6.15.17.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Institute for Digital Research and Education X-ORIGINAL-URL:https://idre.ucla.edu X-WR-CALDESC:Events for Institute for Digital Research and Education REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T110000 DTEND;TZID=America/Los_Angeles:20250131T120000 DTSTAMP:20260501T040624 CREATED:20250213T085432Z LAST-MODIFIED:20250213T090551Z UID:25469-1738321200-1738324800@idre.ucla.edu SUMMARY:RAG for Open Source LLMs DESCRIPTION:Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation. URL:https://idre.ucla.edu/calendar-event/__trashed-33 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260501T040624 CREATED:20250213T085432Z LAST-MODIFIED:20250213T090551Z UID:25470-1738323000-1738326600@idre.ucla.edu SUMMARY:Building Containers for HPC DESCRIPTION:Building on the concepts introduced in Using Containers on HPC Resources\, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how to build containers using Docker/Podman and Apptainer/Singularity\, with practical examples on UCLAÕs Hoffman2 cluster. Whether you want to create portable\, reproducible environments for your research or are simply curious about containerization\, this workshop will provide valuable hands-on experience and tools to get you started. URL:https://idre.ucla.edu/calendar-event/__trashed-34 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260501T040624 CREATED:20250213T093937Z LAST-MODIFIED:20250213T094004Z UID:25546-1738323000-1738326600@idre.ucla.edu SUMMARY:Transfer Learning Across Heterogeneous Structures for Large-Scale Structural Health Monitoring Purposes DESCRIPTION:Speaker: Hesam Soleimani\, Ph.D.\nIDRE Postdoctoral Fellow\nCivil Engineering\nUniversity of California Los Angeles    \n\nPlace: Virtual (Video recording)\n\n\n\n\n\n\nAbstract: Urban infrastructure encompasses diverse systems\, from residential buildings to critical facilities like power and transportation. Structural Health Monitoring (SHM) provides a framework to ensure the safety and continuity of these infrastructure systems by distinguishing between non-damaged and damaged states. The traditional methods for monitoring the health of such infrastructure face challenges in terms of scalability and generalizability. Emerging approaches\, including Generative Adversarial Networks (GANs)\, Contrastive Learning\, and Transfer Learning (TL)\, combined with SHM domain knowledge\, address these limitations by enabling SHM models to function effectively without requiring observed damaged states. The presentation will cover these advancements\, including research endeavors in the Taciroglu Research Group (TRG) at UCLA\, that pave the way for scalable and reliable SHM in complex urban environments. \nAbout the speaker:  Dr. Soleimani is an IDRE fellow and a postdoctoral researcher in the Civil Engineering department at the Samueli School of Engineering. He holds a Ph.D. in Civil Engineering and an MSc in Computer Science\, both obtained from Virginia Tech and his research has always been at the intersection of these two areas. URL:https://idre.ucla.edu/calendar-event/transfer-learning-across-heterogeneous-structures-for-large-scale-structural-health-monitoring-purposes END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250204T100000 DTEND;TZID=America/Los_Angeles:20250204T120000 DTSTAMP:20260501T040624 CREATED:20250213T085433Z LAST-MODIFIED:20250213T090552Z UID:25471-1738663200-1738670400@idre.ucla.edu SUMMARY:Introduction to Databases pt.1 DESCRIPTION:Databases are central tools for organizing research. In addition to storing data\, databases allow for data to be quantified in meaningful ways. The process of creating a database can also help clarify relationships within content. Relational databases are designed to reduce redundancy\, increase efficiency\, and decrease errors. This introductory workshop on databases offers participants a foundational understanding of database design\, relational structures\, and key technical concepts. Over two hours\, attendees will learn the essentials of organizing and managing complex data\, exploring primary and foreign keys\, table relationships\, and normalization to reduce redundancy and errors. The workshop will introduce popular database platforms\, such as MySQL\, PostgreSQL\, and MongoDB\, as well as beginner-friendly tools like Google Sheets and Airtable\, providing insight into selecting the right tool for different projects. Through hands-on activities and discussions on ethical data use\, participants will leave equipped URL:https://idre.ucla.edu/calendar-event/__trashed-35 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250207T110000 DTEND;TZID=America/Los_Angeles:20250207T120000 DTSTAMP:20260501T040624 CREATED:20250213T085433Z LAST-MODIFIED:20250213T090552Z UID:25472-1738926000-1738929600@idre.ucla.edu SUMMARY:Planning for Accessibility in Research Proposals and Practices DESCRIPTION:In this training you will lean learn about the following topics: \n¥ Introduction to DCP and Services for Researchers\n¥ Training and Resources for Accessible Research\n¥ Accessible Research Tools\n¥ What is Disability? (ADA Definition)\n¥ Overview of Laws & Policies Around Accessible Research\n¥ Best Practices in Planning for Accessible Research\n¥ Accessibility vs. Accommodations\n¥ Providing Accommodations to Disabled Participants\n¥ Inclusivity in Participant Recruitment\n¥ Developing an Accessible Consent Process\n¥ 508 Research Compliance Report\n¥ Planning for an Accessible Research Website\n¥ Preparing Research Staff to Work with Disabled Participants\n¥ Communicating with People with Disabilities\n¥ General Best Practices URL:https://idre.ucla.edu/calendar-event/__trashed-36 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T100000 DTEND;TZID=America/Los_Angeles:20250210T120000 DTSTAMP:20260501T040624 CREATED:20250213T085434Z LAST-MODIFIED:20250213T090606Z UID:25474-1739181600-1739188800@idre.ucla.edu SUMMARY:Introduction to Graph Databases DESCRIPTION:Graph databases are at the frontier of data science\, humanities\, and AI computing. Built to handle dense\, highly interconnected data\, graph databases underpin many social networks\, big data applications\, and new research initiatives\, but are still not as widely understood or deployed as traditional relational databases. Building off the Introduction to Databases (Part 1) workshop\, this session introduces graph databases\, with a focus on Neo4j and Wikibase. Spanning two hours\, the first half of the workshop will focus on graph database fundamentals\, the network data model\, and the differences between graph and traditional SQL relational databases. We will then demonstrate common tasks and procedures in Neo4j and Wikibase\, and show how to use graph databases as a backend to data visualization and manipulation in python / juptyter notebooks. This workshop assumes that participants have general knowledge of relational databases or previous participation in part 1 of the database series. Participants will need to install a working copy of Neo4j Desktop Community Edition by visiting https://neo4j.com/deployment-center/\, scrolling to the section Neo4j Desktop\, then download and install the program. URL:https://idre.ucla.edu/calendar-event/__trashed-37 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T130000 DTEND;TZID=America/Los_Angeles:20250210T160000 DTSTAMP:20260501T040624 CREATED:20250213T085435Z LAST-MODIFIED:20250213T090606Z UID:25473-1739192400-1739203200@idre.ucla.edu SUMMARY:Introduction to Survival Analysis in R DESCRIPTION:Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup\, Kaplan-Meier estimates and curves\, log-rank tests\, fitting the Cox proportional hazards model\, assessing the proportional hazards assumption\, and modeling time-varying covariates. Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material. URL:https://idre.ucla.edu/calendar-event/__trashed-38 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250219T113000 DTEND;TZID=America/Los_Angeles:20250219T123000 DTSTAMP:20260501T040624 CREATED:20250213T085435Z LAST-MODIFIED:20250213T090606Z UID:25475-1739964600-1739968200@idre.ucla.edu SUMMARY:Big Data on HPC DESCRIPTION:Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts\, this session will focus on using Big Data techniques to address large-scale data processing and complex machine learning model training on UCLAÕs Hoffman2 cluster. Through hands-on examples and demonstrations\, participants will explore the capabilities of popular Big Data software and libraries\, including Spark and Dask\, and how these tools can streamline data-intensive tasks on HPC systems. URL:https://idre.ucla.edu/calendar-event/__trashed-39 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250221T100000 DTEND;TZID=America/Los_Angeles:20250221T120000 DTSTAMP:20260501T040624 CREATED:20250213T085436Z LAST-MODIFIED:20250213T090607Z UID:25476-1740132000-1740139200@idre.ucla.edu SUMMARY:High Performance Python for Data Analytics pt.1 DESCRIPTION:While Python has been the most popular programming language since 2019\, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series\, we’ll tackle how to enhance Python’s performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective tool for high-performance big data analytics. In our first 2-hour session\, we’ll concentrate on significantly accelerating Python code at the interpreter level. We’ll demystify concepts such as the GIL and JIT and introduce packages like PyPy\, Numba\, Pythran\, and Cython. While there are no strict prerequisites for this lecture\, prior programming experience in Python will be advantageous for a complete understanding of the material. URL:https://idre.ucla.edu/calendar-event/__trashed-40 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250224T130000 DTEND;TZID=America/Los_Angeles:20250224T160000 DTSTAMP:20260501T040624 CREATED:20250213T085436Z LAST-MODIFIED:20250213T090607Z UID:25477-1740402000-1740412800@idre.ucla.edu SUMMARY:Introduction to Mediation Models using Mplus\, DESCRIPTION:This workshop will introduce mediation (i.e.\, causal) models using Mplus. Explanations of the syntax and output will be given\, as well as some tips about reporting such analyses. Models with latent variables will not be discussed. URL:https://idre.ucla.edu/calendar-event/__trashed-41 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T100000 DTEND;TZID=America/Los_Angeles:20250228T120000 DTSTAMP:20260501T040624 CREATED:20250213T085437Z LAST-MODIFIED:20250213T090713Z UID:25478-1740736800-1740744000@idre.ucla.edu SUMMARY:High Performance Python for Data Analytics pt.2 DESCRIPTION:While Python has been the most popular programming language since 2019\, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series\, we’ll tackle how to enhance Python’s performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective tool for high-performance big data analytics. In the second 2-hour session\, our focus will be on techniques for loading and processing extremely large datasets in Python on a single machine\, comparing dataframe implementations from Pandas\, Modin\, Pandarallel\, Dask\, and Vaex\, among others. No specific prerequisites are required to join the lecture\, but familiarity with Python’s numpy and Pandas packages will aid in fully grasping the discussed content. URL:https://idre.ucla.edu/calendar-event/__trashed-42 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T100000 DTEND;TZID=America/Los_Angeles:20250228T120000 DTSTAMP:20260501T040624 CREATED:20250213T085448Z LAST-MODIFIED:20250213T090714Z UID:25479-1740736800-1740744000@idre.ucla.edu SUMMARY:Introduction to Cloud Computing DESCRIPTION:This workshop provides an overview of cloud computing concepts\, including its benefits\, services\, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud platforms such as AWS and Google Cloud. The workshop covers key topics such as cloud architecture\, storage\, security\, and scalability\, offering practical insights into how campus researchers can leverage the cloud for efficiency\, cost savings\, and innovation. It’s designed for beginners with little to no prior experience in cloud technologies. URL:https://idre.ucla.edu/calendar-event/__trashed-43 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T113000 DTEND;TZID=America/Los_Angeles:20250228T123000 DTSTAMP:20260501T040624 CREATED:20250213T092721Z LAST-MODIFIED:20250325T181632Z UID:25536-1740742200-1740745800@idre.ucla.edu SUMMARY:A computational framework of human voice production: Muscle activation simulation in male and female voices DESCRIPTION:Speaker: Tsukasa Yoshinaga\, Ph.D.\nIDRE Postdoctoral Fellow\nDepartment of Head and Neck Surgery\nUniversity of California Los Angeles \nPlace: Virtual  \n \n\n\n\n\nAccess the event recording \nAbstract: Human voice production is a complex process requiring precise coordination of respiratory and laryngeal muscle activation. These components shape voice quality\, enabling humans to produce a wide range of voice types. However\, their interaction remains poorly understood\, mainly due to the challenges in directly observing the larynx. The goal of our study is to identify physiological factors contributing to individual voice differences. We propose a computational model to simulate human laryngeal muscle activation in the phonation process. By modeling laryngeal muscle activation in male and female larynges\, we examine how different muscles coordinate to posture the vocal folds in producing voices of diverse voice qualities. \nAbout the speaker: Dr. Yoshinaga is a visiting scholar working with Professor Zhaoyan Zhang in the Head and Neck Surgery Department at UCLA. He received a Ph.D. in Mechanical Engineering from Osaka University\, where he is currently an Assistant Professor. His research focuses on sound generation mechanisms in human speech and musical instruments using numerical simulations. URL:https://idre.ucla.edu/calendar-event/a-computational-framework-of-human-voice-production-muscle-activation-simulation-in-male-and-female-voices ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250303T130000 DTEND;TZID=America/Los_Angeles:20250303T160000 DTSTAMP:20260501T040624 CREATED:20250213T085449Z LAST-MODIFIED:20250213T090714Z UID:25480-1741006800-1741017600@idre.ucla.edu SUMMARY:Introduction to Linear Regression in R DESCRIPTION:This workshop teaches the basics of the linear regression model\, the foundation for most other regression models. Topics include understanding the model equation\, continuous and categorical predictors\, interpreting the model estimates\, and diagnostics for assessing model assumptions. The workshop is intended to be interactive\, with examples and exercises in R\, and assumes only introductory exposure to R. URL:https://idre.ucla.edu/calendar-event/__trashed-44 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250307T110000 DTEND;TZID=America/Los_Angeles:20250307T120000 DTSTAMP:20260501T040624 CREATED:20250213T085449Z LAST-MODIFIED:20250213T090715Z UID:25481-1741345200-1741348800@idre.ucla.edu SUMMARY:Accessible Study Recruitment & Consent Process DESCRIPTION:Planning for an accessible study recruitment effort. Advertising in accessible digital environments\, making PDFs accessible\, email outreach that is accessible and mobile app ads that are accessible. Creating a accessible digital consent pathway\, making research accessible to all. Strategic Outcomes: – Inclusivity in community engaged research URL:https://idre.ucla.edu/calendar-event/__trashed-45 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250310T130000 DTEND;TZID=America/Los_Angeles:20250310T160000 DTSTAMP:20260501T040624 CREATED:20250213T085450Z LAST-MODIFIED:20250213T090715Z UID:25482-1741611600-1741622400@idre.ucla.edu SUMMARY:Generalized Linear Regression Models in R DESCRIPTION:This workshop introduces the generalized linear regression model\, which extends the linear regression model to accommodate outcomes with different distributions. The workshop briefly reviews linear regression concepts as necessary\, and then discusses logistic regression for binary outcomes and Poisson and negative binomial models for count outcomes. Examples of running each of these models in R are provided. Some exposure to both linear regression and R would be helpful but are not required. URL:https://idre.ucla.edu/calendar-event/__trashed-46 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250314T100000 DTEND;TZID=America/Los_Angeles:20250314T110000 DTSTAMP:20260501T040624 CREATED:20250213T085450Z LAST-MODIFIED:20250213T090731Z UID:25483-1741946400-1741950000@idre.ucla.edu SUMMARY:Rapid AI Prototyping with custom GPTs pt. 1 DESCRIPTION:Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs\, prompt engineering\, and turn-key solutions from leading LLM providers. URL:https://idre.ucla.edu/calendar-event/__trashed-47 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250314T100000 DTEND;TZID=America/Los_Angeles:20250314T120000 DTSTAMP:20260501T040624 CREATED:20250213T085451Z LAST-MODIFIED:20250213T092245Z UID:25484-1741946400-1741953600@idre.ucla.edu SUMMARY:Parallel Transpose Algorithms: Massively Parallel Computing with GPUs Series DESCRIPTION:Several highly accurate computational methods\, such as Fourier spectral method and compact finite difference method\, require complete grid data along spatial axes when solving partial differential equations on structured grids. However\, modern simulations often involve enormous datasets\, especially when using high-resolution grids\, that exceed the memory capacity of a single processor. This poses a significant challenge: how to efficiently process and analyze these large datasets across multiple processors without compromising accuracy or speed. \n  \nWe will explore parallel transpose algorithms designed to efficiently distribute and rearrange large datasets across multiple processors. By leveraging the Message Passing Interface (MPI)\, we will examine techniques to optimize data movement and minimize communication overhead for 2D and 3D transpose operations. These algorithms can significantly reduce execution time and improve scalability\, enabling the simulation of larger and more complex physical systems.  \n  \nThis workshop emphasizes the practical aspects of implementing these methods\, and is beneficial for two groups of people: \n  \nCoders: If you’re building your own code\, this workshop will provide practical experience in implementing parallel transpose algorithms. \n  \nUsers: If you’re using existing research code\, this workshop will help you understand its performance and potential limitations\, enabling you to optimize its use. URL:https://idre.ucla.edu/calendar-event/__trashed-48 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250321T100000 DTEND;TZID=America/Los_Angeles:20250321T110000 DTSTAMP:20260501T040624 CREATED:20250213T085451Z LAST-MODIFIED:20250213T090732Z UID:25485-1742551200-1742554800@idre.ucla.edu SUMMARY:Rapid AI Prototyping with custom GPTs pt. 2 DESCRIPTION:Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs\, prompt engineering\, and turn-key solutions from leading LLM providers. This will be a hands on workshop. URL:https://idre.ucla.edu/calendar-event/__trashed-49 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250404T110000 DTEND;TZID=America/Los_Angeles:20250404T120000 DTSTAMP:20260501T040624 CREATED:20250312T164924Z LAST-MODIFIED:20250312T165516Z UID:25744-1743764400-1743768000@idre.ucla.edu SUMMARY:Building Accessibility into Research Mobile Apps DESCRIPTION:Mobile Apps like websites need to be built with accessibility in mind to comply with the WCAG 2.1 standard. Fortunately\, Mobile devices themselves have alot of accessibility features already built in. When building a mobile app\, or working with an outside vendor to build a research app as an instrument\, you should include this as a requirement upfront. This will be more important starting in April of 2026 when new ADA compliance deadlines come into play. Join us for this talk to learn how to build accessibility into your research planning process. \nRegister Now URL:https://idre.ucla.edu/calendar-event/building-accessibility-into-research-mobile-apps CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250404T113000 DTEND;TZID=America/Los_Angeles:20250404T123000 DTSTAMP:20260501T040624 CREATED:20250312T180604Z LAST-MODIFIED:20250404T233956Z UID:25785-1743766200-1743769800@idre.ucla.edu SUMMARY:Bridging AI and Generative Models with Mean Field Control through Score Based Normalizing Flow DESCRIPTION:Speaker: Mo Zhou\, Ph.D.\nIDRE Postdoctoral Fellow\nDepartment of Mathematics (UCLA)\nUniversity of California Los Angeles    \n\nPlace: Virtual (Link to the video recording)\n\n\n\n\n\n\nAbstract:     Generative models\, a cornerstone of modern AI\, learn to approximate complex probability distributions and generate realistic data. A key challenge in these models is efficiently computing the “score function\,” which helps guide the learning process. Interestingly\, a similar challenge arises in mean field control (MFC)\, a mathematical framework for decision-making in large-scale systems\, such as crowd dynamics and financial markets. \nIn this talk\, I will introduce a novel approach that computes MFC problems using score based neural ordinary differential equations (ODEs) and normalizing flows. We develop a system of ODEs to compute both first- and second-order score functions\, reframing MFC problems as unconstrained optimization tasks. Our method also introduces a regularization technique inspired by Hamilton–Jacobi–Bellman (HJB) equations\, ensuring better accuracy and stability. I will show applications\, including probability flow matching and Wasserstein proximal operators\, explaining how this approach enhances both theoretical understanding and practical computation in generative modeling and control. \nAbout the speaker: Dr. Zhou is an Assistant Adjunct Professor in the Department of Mathematics at UCLA\, under Professor Stanley Osher’s guidance. He earned his bachelor’s degree in mathematics from Tsinghua University in 2018 and Ph.D. in mathematics from Duke University in 2023\, under Professor Jianfeng Lu. During his Ph.D. studies\, Dr. Zhou developed advanced deep learning algorithms to overcome the curse of dimensionality and addressed traditional scientific computing challenges\, including eigenvalue problems and optimal control problems. Currently\, his research focuses on mean-field control and games. URL:https://idre.ucla.edu/calendar-event/bridging-ai-and-generative-models-with-mean-field-control-through-score-based-normalizing-flow CATEGORIES:Conferences and Seminars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250410T130000 DTEND;TZID=America/Los_Angeles:20250410T140000 DTSTAMP:20260501T040624 CREATED:20250312T175951Z LAST-MODIFIED:20250313T184253Z UID:25780-1744290000-1744293600@idre.ucla.edu SUMMARY:Introduction to Overleaf: A Beginner’s Guide to Collaborative LaTeX DESCRIPTION:LaTeX is a powerful typesetting system that is widely used for academic and professional documents\, but it has a steep learning curve. Overleaf simplifies the process of working with LaTeX by providing an intuitive interface\, simplifying document production\, and facilitating real-time collaboration with colleagues. \nThis workshop will introduce participants to Overleaf’s essential features. Topics will include setting up documents\, using the editing tools\, leveraging templates and packages\, managing citations\, and using features for collaboration and version control. By the end of the session\, participants will have gained experience in how to leverage Overleaf for research papers\, theses\, and reports. No prior LaTeX experience is required\, just a willingness to explore what the tool has to offer. \nRegister Now URL:https://idre.ucla.edu/calendar-event/introduction-to-overleaf-a-beginners-guide-to-collaborative-latex LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250411T110000 DTEND;TZID=America/Los_Angeles:20250411T123000 DTSTAMP:20260501T040624 CREATED:20250312T165906Z LAST-MODIFIED:20250312T165906Z UID:25745-1744369200-1744374600@idre.ucla.edu SUMMARY:Using GitHub for Continuous Integration/ and Continuous Deployment DESCRIPTION:Do you use GitHub for version control? In this 90 minute hands-on workshop you will advance your GitHub prowess by learning how to use Github Actions to automatically and securely deploy source code across your infrastructure. Join this workshop to learn how to leverage GitHub’s advanced CI/CD tools that come with your Github Enterprise account to enhance your DevOps practice. \nRegister Now URL:https://idre.ucla.edu/calendar-event/using-github-for-continuous-integration-and-continuous-deployment CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250416T100000 DTEND;TZID=America/Los_Angeles:20250416T100000 DTSTAMP:20260501T040624 CREATED:20250312T180205Z LAST-MODIFIED:20250312T180205Z UID:25783-1744797600-1744797600@idre.ucla.edu SUMMARY:Running Jupyter Notebooks on the Hoffman2 Cluster DESCRIPTION:Jupyter Notebook\, JupyterLab and Voilà are a powerful tool for interactive computing\, for proof of concept implementations and for creating interactive web applications or dashboards. Come and learn how to open Jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a mamba/python environment\, in R\, julia or many other programming languages. Augment your Jupyter session with AI and turn your Jupyter notebook into a reproducible generative AI playground. \nRegister Now URL:https://idre.ucla.edu/calendar-event/running-jupyter-notebooks-on-the-hoffman2-cluster CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250418T090000 DTEND;TZID=America/Los_Angeles:20250418T110000 DTSTAMP:20260501T040624 CREATED:20250312T170331Z LAST-MODIFIED:20250312T170331Z UID:25746-1744966800-1744974000@idre.ucla.edu SUMMARY:Introduction to the Linux Shell Part 1: Using the Command Line DESCRIPTION:The most widely used way to interact with computers is through a graphical user interface\, for example\, the desktop interface of Microsoft Windows or Mac OS. However\, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command line\, terminal\, shell\, console\, or prompt\, and while it may appear complex at first sight\, it offers a lot of power and flexibility for telling the computer what to do. This workshop will introduce you to the command line and walk you through a variety of fundamental concepts and commands. The command line is available in many operating systems\, though here we’ll use Linux. No prior knowledge is assumed. By the end\, you will hopefully be much more comfortable when you have to use the command line. \nRegister Now URL:https://idre.ucla.edu/calendar-event/introduction-to-the-linux-shell-part-1-using-the-command-line-2 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250425T090000 DTEND;TZID=America/Los_Angeles:20250425T110000 DTSTAMP:20260501T040624 CREATED:20250312T175248Z LAST-MODIFIED:20250312T175348Z UID:25748-1745571600-1745578800@idre.ucla.edu SUMMARY:Introduction to the Linux Shell Part 2: Shell Scripting DESCRIPTION:Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time\, effort\, and headache. For example\, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished data products that can be published. This process can be tedious and error-prone\, and sometimes it’s not easy to reproduce. With shell scripts\, you can automate the execution of lengthy and repetitive tasks and store commonly executed commands for repeated use. This workshop will be an interactive introduction to shell scripting and help you to learn the fundamentals necessary to advance as an effective user of the Linux shell. Basic knowledge of using the command line will be assumed. \nRegister Now URL:https://idre.ucla.edu/calendar-event/introduction-to-the-linux-shell-part-2-shell-scripting-2 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250425T110000 DTEND;TZID=America/Los_Angeles:20250425T120000 DTSTAMP:20260501T040624 CREATED:20250312T170545Z LAST-MODIFIED:20250312T175422Z UID:25747-1745578800-1745582400@idre.ucla.edu SUMMARY:Accessible and Inclusive Data Visualization for Research Publication DESCRIPTION:In this workshop the DCP will lead a training on how the design accessible data visualization for publication both into PDF and html in alignment with WCAG 2.1 AA guidance. Many people with disabilities use assistive technologies. \nRegister Now URL:https://idre.ucla.edu/calendar-event/accessible-and-inclusive-data-visualization-for-research-publication CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250428T100000 DTEND;TZID=America/Los_Angeles:20250428T120000 DTSTAMP:20260501T040624 CREATED:20250312T175541Z LAST-MODIFIED:20250312T175622Z UID:25749-1745834400-1745841600@idre.ucla.edu SUMMARY:Introduction to AI/ML/LLM for Humanities and Social Science DESCRIPTION:As artificial intelligence (AI)\, machine learning (ML)\, and Large Language Models (LLM) technologies continue to evolve\, they offer new possibilities for humanities research\, from large-scale text and image analysis to generative AI applications that synthesize and extrapolate knowledge. This workshop introduces key AI/ML/LLM concepts\, including neural networks\, large language models\, and large image models\, while exploring their potential for enhancing research methodologies in the humanities. Participants will examine case studies\, such as computational literary analysis and image recognition in spatial studies and art history\, and engage in hands-on exercises to compare models\, craft prompts\, and assess AI-generated outputs. Beyond technical applications\, the workshop will also address critical ethical concerns surrounding AI\, including bias\, the network effects of dis- and misinformation\, and the authenticity of historical records. \nDiscussions will highlight issues of fairness\, intellectual property\, and academic integrity\, drawing from key scholarship in algorithmic ethics and data justice. By the end of the session\, participants will gain a foundational understanding of AI’s role in the humanities\, along with practical tools and frameworks for critically engaging with these technologies in their own research and teaching. \nRegister Now URL:https://idre.ucla.edu/calendar-event/introduction-to-ai-ml-llm-for-humanities-and-social-science CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250430T123000 DTEND;TZID=America/Los_Angeles:20250430T133000 DTSTAMP:20260501T040624 CREATED:20250312T175736Z LAST-MODIFIED:20250312T175736Z UID:25750-1746016200-1746019800@idre.ucla.edu SUMMARY:Running Large Language Models on Hoffman2 DESCRIPTION:This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended.This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended. \nRegister Now URL:https://idre.ucla.edu/calendar-event/running-large-language-models-on-hoffman2 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250502T110000 DTEND;TZID=America/Los_Angeles:20250502T120000 DTSTAMP:20260501T040624 CREATED:20250312T232806Z LAST-MODIFIED:20250312T232806Z UID:25751-1746183600-1746187200@idre.ucla.edu SUMMARY:Using UCLA Mobile Messaging Capabilities for Research DESCRIPTION:Are you doing research with surveys ( in RedCap or another survey tool) and paying an outside vendor to SMS links to your participants? Did you know that UCLA has a Mobile Messaging service that can send push messages instead that is much more economial? Sending a push message to a simple mobile app costs fractions of a penny. Join this session to learn how you can use modern messaging to connect your participants to their surveys. \nRegister Now URL:https://idre.ucla.edu/calendar-event/using-ucla-mobile-messaging-capabilities-for-research CATEGORIES:Training workshop / Tutorial END:VEVENT END:VCALENDAR