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X-WR-CALDESC:Events for TAMIDS
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DTSTART;TZID=America/Chicago:20260427T140000
DTEND;TZID=America/Chicago:20260427T150000
DTSTAMP:20260428T152659
CREATED:20260327T193412Z
LAST-MODIFIED:20260421T204639Z
UID:19998-1777298400-1777302000@tamids.tamu.edu
SUMMARY:Seminar Series: Truman Brown\, Google Consultant
DESCRIPTION:Truman Brown is a Red Team Consultant at Mandiant (Google Cloud)\, specializing in high-end web application\, API\, and AI-integration assessments. Since joining Google in 2023\, he has served as the Technical Lead for 76 high-stakes engagements\, delivering strategic security insights for a diverse portfolio of clients ranging across the Fortune 500. A specialist in advanced adversary emulation\, Truman was the lead developer and architect of a global Browser-in-the-Middle (BITM) platform used across the Mandiant Red Team. His research into session hijacking and automated proxying has been featured in a Google Cloud threat intelligence blog post\, cementing his reputation for scaling complex attack vectors.  \n\n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446 \n\n\n\n\n\n\n\nAI Vulnerabilities Across Web Applications\n\n\n\nThis presentation addresses the critical gap caused by the exponential rate of AI adoption outpacing standard security protocols. Because Large Language Models function as opaque\, probabilistic systems\, they fundamentally disrupt legacy security paradigms. We will examine these primary vulnerabilities across three domains:  \n\n\n\nThe Input Problem\, focusing on Prompt Injection\, where cleverly crafted inputs manipulate the model’s instructions (including the silent threat of Indirect Injection hidden in untrusted data). The Output Problem\, which requires all LLM-generated content to be treated as untrusted to prevent attacks like Cross-Site Scripting (XSS) and SQL Injection\, and avoids legal liability for “hallucinations\,” and The Foundational Problem\, dealing with risks baked into the model itself like Training Data Poisoning and Supply Chain Vulnerabilities. To mitigate these risks\, a multi-layered\, Zero Trust\, Defense-in-Depth approach is necessary\, which includes Input Filtering (Prompt Firewalls)\, Output Sanitization\, Tool Sandboxing (applying Least Privilege)\, and a Human-in-the-Loop failsafe for all critical or irreversible actions. \n\n\n\n\n\n\n\nSeminar Flyer427Download
URL:https://tamids.tamu.edu/event/seminar-series-truman-brown-google-consultant/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260424T100000
DTEND;TZID=America/Chicago:20260424T120000
DTSTAMP:20260428T152700
CREATED:20260324T192800Z
LAST-MODIFIED:20260402T160659Z
UID:19801-1777024800-1777032000@tamids.tamu.edu
SUMMARY:Topic Modeling & Discovery Workshop
DESCRIPTION:Participants will learn how to identify latent themes in large text collections using unsupervised machine learning and how to interpret and validate these findings. It will be one hour of theory and explanation of the concepts\, and the last hour will be hands-on practice in Python. Key topics include: Unsupervised learning\, topic modeling concepts\, Latent Dirichlet Allocation (LDA) intuition and implementation\, choosing the number of topics (K)\, using coherence metrics and interpretability\, systematic topic interpretation for words\, documents\, and labels\, evaluating topic quality and distinctiveness with Document-level and corpus-level topic analysis recall\, F1-score\, and confusion matrices\, and much more!
URL:https://tamids.tamu.edu/2026/02/13/text-mining-workshop-series/
CATEGORIES:TAMIDS Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260420T140000
DTEND;TZID=America/Chicago:20260420T150000
DTSTAMP:20260428T152700
CREATED:20260320T145517Z
LAST-MODIFIED:20260413T203247Z
UID:19956-1776693600-1776697200@tamids.tamu.edu
SUMMARY:Seminar Series: Dr. Jian-Xun Wang
DESCRIPTION:Dr. Wang is an Associate Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University. Previously\, he held the position of Robert W. Huether Collegiate Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He received his Ph.D. in Aerospace Engineering from Virginia Tech in 2017 and completed a postdoctoral training at UC Berkeley before joining Notre Dame as a tenure-track Assistant Professor in 2018. He is a recipient of the NSF CAREER and ONR YIP awards and currently serves as Associate Editor for Journal of Computational Physics and Vice Chair of the USACM Technical Thrust Areas on Data-Driven Modeling. \n\n\n\nDr. Wang’s research at the interface of scientific machine learning\, computational fluid\, solid\, and thermal dynamics\, data assimilation\, and uncertainty quantification\, with the goal of advancing predictive modeling and decision-making for complex physical systems. \n\n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446  \n\n\n\nDifferentiable Hybrid Neural-PDE Operator for Spatiotemporal Modeling of Complex Physics\n\n\n\nThis talk introduces neural differentiable modeling: a unified framework that embeds governing PDE operators as differentiable layers within trainable computation graphs to couple physics-based solvers with machine learning in an end-to-end\, gradient-driven workflow. The approach preserves physical structure (conservation\, symmetries\, stability) while learning closures\, constitutive relations\, and latent operators from heterogeneous data. On the probabilistic side\, we incorporate generative modeling to emulate spatiotemporal physics\, perform super-resolution and data assimilation in zero-shot. \n\n\n\nApplications span (i) turbulence\, where hybrid closures and physically constrained generative models enable zero/few-shot transfer across wall-bounded regimes; (ii) chemical vapor infiltration (CVI)\, where differentiable transport–reaction surrogates infer effective kinetics and pore-scale operators from sparse process data for design-in-the-loop optimization and uncertainty-aware control; and (iii) electrochemical machining (ECM)\, where a differentiable inverse framework couples electrochemistry\, flow\, and moving boundaries to calibrate kinetics and guide pathway selection. Throughout\, we integrate calibrated uncertainty quantification and leverage a GPU-enabled differentiable computational platform to scale training and enable real-time digital twins. \n\n\n\n\n\n\n\nSeminar Flyer420Download
URL:https://tamids.tamu.edu/event/seminar-series-jian-xun-wang/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260418T100000
DTEND;TZID=America/Chicago:20260418T120000
DTSTAMP:20260428T152700
CREATED:20260318T150652Z
LAST-MODIFIED:20260413T203204Z
UID:19960-1776506400-1776513600@tamids.tamu.edu
SUMMARY:AI Explorers: Understanding and Using AI Responsibly
DESCRIPTION:The Data Justice Lab is pleased to host AI Explorers: Understanding and Using AI Responsibly\, a free interactive workshop designed for middle school students (ages 11–14) to build a foundational understanding of artificial intelligence and its responsible use. As AI technologies become increasingly integrated into everyday life\, this session introduces students to how AI works\, how to engage with it effectively\, and how to think critically about its impact. \n\n\n\nThrough guided activities and discussions\, participants will explore real-world applications of AI\, practice prompt-based interactions\, and reflect on key ethical considerations such as bias\, privacy\, and responsible decision-making. Registration is required. Secure your child’s spot by registering at the link below.  \n\n\n\n\nREGISTRATION\n\n\n\n\nFor questions or additional information\, please contact Brittany Garcia at brinni@tamu.edu. \n\n\n\nAIExplorersWorkshopFlyer_2026Download
URL:https://tamids.tamu.edu/event/ai-explorers/
CATEGORIES:TAMIDS Event,Thematic Lab Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260417T083000
DTEND;TZID=America/Chicago:20260417T170000
DTSTAMP:20260428T152700
CREATED:20260317T170935Z
LAST-MODIFIED:20260416T182127Z
UID:19826-1776414600-1776445200@tamids.tamu.edu
SUMMARY:Texas Digital Twin Symposium
DESCRIPTION:Overview\n\n\n\nThe Texas Digital Twin Symposium brings together researchers\, students\, and industry partners from across Texas to advance the growing digital twin research ecosystem\, with a strong focus on data science–enabled methods and real-world applications. The event is designed to spark new cross-disciplinary collaborations spanning engineering\, statistics\, computer science\, and applied mathematics. Through technical sessions\, posters\, and breakout discussions\, participants explore emerging challenges and opportunities in digital twin technologies and highlight innovative student work. This event will be held in the Joe C. Richardson Petroleum Engineering Building in Room 910. \n\n\n\n\n\n\n\nPresenters\n\n\n\n\nSatish Bukkapatnam\, Texas A&M Department of Industrial & Systems Engineering\n\n\n\nIan Fialho\, Executive Senior Director\, Boeing\n\n\n\nMichael Grieves\, Executive Director\, Digital Twin Institute\n\n\n\nOmar Ghattas\, Director\, University of Texas Oden Institute | Real-time Bayesian inversion for large-scale wave propagation problems\, with applications to a digital twin for tsunami early warning\n\n\n\nDev Niyogi\, Professor\, University of Texas at Austin\n\n\n\nLisha White\, Mechanical Engineer\, NIST | From Perception to Purpose: Integrating Additive Manufacturing Digital Twins within Agentic Workflows for Industrialization\n\n\n\nRuda Zhang\, Assistant Professor\, University of Houston Cullen College of Engineering | Calibrated uncertainty for AI twins: An inference-time stochastic attention approach\n\n\n\n\n\n\n\n\nSchedule\n\n\n\nTIMESESSION8:30 – 9:00 a.m. (30 min)Check-in & Breakfast (donuts & coffee)9:00 – 9:10 a.m. (10 min)Welcome by Henry Fadamiro\, Associate Vice President for Research\, Strategic Initiatives\, Office of the Vice President for Research Division of Research9:10 – 10:10 a.m. (60 min)Plenary Talk 1 — Michael Grieves\, Executive Director\, Digital Twin Institute10:10 – 10:25 a.m. (15 min)Break10:25 – 10:55 a.m. (30 min)Presentation 1 — Dev Niyogi\, Professor\, University of Texas at Austin10:55 – 11:25 a.m. (30 min)Presentation 2 — Lisha White\, Mechanical Engineer\, NIST11:25 a.m. – 1:00 p.m. (95 min)Poster Session (Room 507) & Lunch1:00 – 2:00 p.m. (60 min)Plenary Talk 2 — Omar Ghattas\, Director\, University of Texas Oden Institute2:00 – 2:15 p.m. (15 min)Break2:15 – 2:45 p.m. (30 min)Presentation 3 — Ian Fialho\, Executive Senior Director\, Boeing2:45 – 3:15 p.m. (30 min)Presentation 4 — Ruda Zhang\, Assistant Professor\, University of Houston Cullen College of Engineering3:15 – 3:45 p.m. (30 min)Presentation 5 — Satish Bukkapatnam\, Texas A&M Department of Industrial & Systems Engineering3:45 – 4:00 p.m. (15 min)Break4:00 – 4:25 p.m. (25 min)Breakout Session A4:25 – 4:35 p.m. (10 min)Break4:35 – 5:00 p.m. (25 min)Breakout Session B\n\n\n\n\n\n\n\nPoster Session\n\n\n\nWe welcome posters that highlight innovations for digital twin systems with a data science component\, including theory\, methods\, and applications. \n\n\n\n\nPoster Submission Form\n\n\n\n\nPoster Abstract Deadline: March 30 \n\n\n\n\n\n\n\nRegistration\n\n\n\nThe symposium is open to all students\, researchers\, and faculty at Texas A&M University. There is a limit of 80 participants. Once we reach capacity\, new registrations will be added to the waiting list. If you cannot attend in person\, please contact TAMIDS@tamu.edu so we can notify waitlisted attendees.  \n\n\n\n\nRegistration Form\n\n\n\n\nRegistration Deadline: April 8 \n\n\n\n\n\n\n\nCommittee\n\n\n\n\nRui Tuo [Conference Chair]\, Associate Professor\, Industrial & Systems Engineering\n\n\n\nDouglas Allaire\, Associate Professor\, Mechanical Engineering\n\n\n\nAshrant Aryal\, Assistant Professor\, Construction Science\n\n\n\nRaktim Bhattacharya\, Professor\, Aerospace Engineering\n\n\n\nDrew Casey\, Associate Director\, Texas A&M Institute of Data Science\n\n\n\nRudy Geelen\, Assistant Professor\, Aerospace Engineering\n\n\n\nEduardo Gildin\, Associate Department Head of Graduate Studies\, Petroleum Engineering\n\n\n\nJian Tao\, Assistant Professor\, Visual Computing & Computational Media\n\n\n\n\nIf you have any questions about this event\, please contact TAMIDS@tamu.edu.  \n\n\n\n\n\n\n\nSupported by\n\n\n\n\nTexas A&M Institute of Data Science\n\n\n\nTexas A&M Energy Institute
URL:https://tamids.tamu.edu/event/texas-digital-twin-symposium/
CATEGORIES:TAMIDS Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260414T143000
DTEND;TZID=America/Chicago:20260414T153000
DTSTAMP:20260428T152700
CREATED:20260314T152934Z
LAST-MODIFIED:20260402T161008Z
UID:19928-1776177000-1776180600@tamids.tamu.edu
SUMMARY:Generative AI Foundations Workshop (Intermediate Level)
DESCRIPTION:This intermediate-level workshop will focus on practical applications\, emphasizing automation\, prompt engineering\, and how to utilize GenAI in research. It will be held virtually and hosted by TAMIDS Senior Ambassador Zavier Ndum. Register at the link below! \n\n\n\n\nRegister here.
URL:https://tamids.tamu.edu/event/generatve-ai-foundations-for-beginners/
CATEGORIES:Ambassador Event,TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260413T140000
DTEND;TZID=America/Chicago:20260413T150000
DTSTAMP:20260428T152700
CREATED:20260313T191141Z
LAST-MODIFIED:20260407T181122Z
UID:19946-1776088800-1776092400@tamids.tamu.edu
SUMMARY:Seminar Series: Dr. Leila Character
DESCRIPTION:Dr. Leila Character is an Assistant Professor in the Department of Geography at Texas A&M University and a geospatial scientist specializing in remote sensing and machine learning. Her research focuses on building computational approaches that solve complex environmental challenges by enabling large-scale mapping and object detection across terrestrial and underwater environments. She develops new methods that combine diverse types of remotely sensed data—such as hyperspectral\, multispectral\, lidar\, radar\, sonar\, and magnetometer—to automate feature extraction and create novel geospatial layers that extend far beyond what manual analysis can achieve.  \n\n\n\nDr. Character’s work centers on three themes: improving machine learning model generalizability and methodological transferability\, refining imagery preprocessing and data annotation\, and advancing data collection strategies. Her projects include many application areas\, from archaeology to defense. \n\n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 968 84861Passcode: 923446 \n\n\n\nExploring the Deep: Machine Learning and Remote Sensing for Targeted Underwater Exploration and Mapping\n\n\n\nTraditional methods for locating and mapping underwater targets\, such as ship and aircraft wrecks\, are often expensive and inefficient. Integrating deep learning with remotely sensed data transforms this process\, allowing large seafloor areas to be searched efficiently. Although terrestrial target detection is advancing rapidly\, underwater applications remain limited due to a lack of training data. This work addresses that gap through two successful projects: shipwreck detection using publicly available multibeam sonar and aircraft wreck detection using sidescan sonar data. The methodology proved highly effective—field testing of the aircraft detection model identified three of four new aircraft targets in survey data. \n\n\n\nBuilding on this foundation\, new research focuses on fusing very high-resolution 3D bathymetric data with sidescan sonar for deep learning–based underwater target detection under diverse environmental and optical conditions. Detected targets will be ranked using a forest-based model that incorporates morphometric characteristics and compared to human review. Ultimately\, this multi-modal approach will enhance the efficiency and accuracy of underwater object detection\, enabling broader seafloor characterization and more targeted field validation while reducing operational costs and improving safety for marine exploration. \n\n\n\n\n\n\n\nSeminar Flyer413Download
URL:https://tamids.tamu.edu/event/seminar-series-dr-leila-character/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260410T100000
DTEND;TZID=America/Chicago:20260410T120000
DTSTAMP:20260428T152700
CREATED:20260303T202400Z
LAST-MODIFIED:20260303T205250Z
UID:19799-1775815200-1775822400@tamids.tamu.edu
SUMMARY:Supervised Text Classification Workshop
DESCRIPTION:Participants will learn how to train models to categorize texts based on labeled examples and understand evaluation metrics. It will be one hour of theory and explanation of the concepts\, and the last hour will be hands-on practice in Python. Key topics include: Classification algorithms like Naive Bayes and Logistic Regression\, Evaluation metrics such as accuracy\, precision\, recall\, F1-score\, and confusion matrices\,  supervised learning paradigm and workflow\, applications in social science research (sentiment analysis\, content categorization\, frame detection)\, training data preparation and train-test splitting\, feature extraction with TF-IDF and bag-of-words\, and much more!
URL:https://tamids.tamu.edu/2026/02/13/text-mining-workshop-series/
CATEGORIES:TAMIDS Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260403T090000
DTEND;TZID=America/Chicago:20260403T170000
DTSTAMP:20260428T152700
CREATED:20260303T185046Z
LAST-MODIFIED:20260303T204332Z
UID:19769-1775206800-1775235600@tamids.tamu.edu
SUMMARY:Texas NLP Symposium
DESCRIPTION:Texas NLP Symposium is a one-day workshop featuring invited talks\, oral presentations\, and poster sessions. Our goal is to bring together NLP researchers across Texas to share and discuss ongoing or published research\, as well as to foster future collaborations. Participants from outside Texas are also welcome.
URL:https://texas-nlp.github.io/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260331T140000
DTEND;TZID=America/Chicago:20260331T150000
DTSTAMP:20260428T152700
CREATED:20260302T215625Z
LAST-MODIFIED:20260323T142535Z
UID:19683-1774965600-1774969200@tamids.tamu.edu
SUMMARY:Purposeful Personalized Learning with Generative AI
DESCRIPTION:Organized by the Center for Teaching Exellence. This hands-on workshop guides instructors through the principles of personalized learning\, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools\, especially those available through Texas A&M University can support differentiated instruction and adaptive learning. By the end of the session\, participants will design a personalized learning module that integrates generative AI to meet diverse learner needs with clear instructional intent.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46157
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260330T150000
DTEND;TZID=America/Chicago:20260330T160000
DTSTAMP:20260428T152700
CREATED:20260301T145016Z
LAST-MODIFIED:20260324T172501Z
UID:19917-1774882800-1774886400@tamids.tamu.edu
SUMMARY:Generative AI for Beginners
DESCRIPTION:This workshop is designed for faculty and staff who have no prior experience in AI and have a limited technical background. Learn the strengths and limitations of generative AI (GenAI) and discuss key principles of responsible use in education while exploring everyday\, no-code tools like ChatGPT. This workshop will be held virtually and hosted by TAMIDS Ambassador Oguz Bedir. Register at the link below!  \n\n\n\n\nRegister here.
URL:https://tamids.tamu.edu/event/generative-ai-for-beginners/
CATEGORIES:Ambassador Event,TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260330T140000
DTEND;TZID=America/Chicago:20260330T150000
DTSTAMP:20260428T152700
CREATED:20260301T151315Z
LAST-MODIFIED:20260324T170545Z
UID:19921-1774879200-1774882800@tamids.tamu.edu
SUMMARY:Seminar Series: Trustworthy Physical AI
DESCRIPTION:Qiben Yan is an Associate Professor of Computer Science and Engineering at Michigan State University\, where he directs the Secure and Intelligent Things (SEIT) Lab. His research focuses on cyber-physical systems security and trustworthy AI systems\, spanning voice/assistive technologies\, autonomous and robotic systems\, and sensing/communication pipelines.  \n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446 \n\n\n\n\n\n\n\n\nTrustworthy Physical AI: Securing Systems that Sense\, Decide\, and Act\n\n\n\nAI systems are rapidly moving off the screen and into the real world\, triaging patients\, assisting clinicians\, powering voice-based workflows\, and guiding vehicles and robots that share space with people. This shift creates a new security problem: failures are no longer just incorrect outputs\, but unsafe actions driven by compromised sensing\, manipulated cognition\, or spoofed actuation. In this talk\, I present a security perspective for Physical AI systems that sense\, decide\, and act\, with emphasis on voice and transportation.  \n\n\n\nI will highlight concrete attack surfaces across embodied AI\, showing how real-world signals and system interfaces can be exploited to induce unsafe behavior. Building on these lessons\, I will outline a unifying approach\, from authentic sensing to safe actions\, that combines signal-level and device-level defenses with decision-centric evaluation that measures action-level safety risk\, such as unsafe maneuvers. I will discuss the opportunities and open challenges for deploying trustworthy\, domain-grounded AI security that delivers measurable improvements in safety and reliability for AI systems. \n\n\n\n\n\n\n\nWant to meet with Dr. Yan before or after his seminar? Sign up now!\n\n\n\n\nRSVP Form\n\n\n\n\n\n\n\n\nSeminar Flyer330Download
URL:https://tamids.tamu.edu/event/seminar-series-trustworthy-physical-ai/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260327T100000
DTEND;TZID=America/Chicago:20260327T120000
DTSTAMP:20260428T152700
CREATED:20260227T211912Z
LAST-MODIFIED:20260303T163815Z
UID:19797-1774605600-1774612800@tamids.tamu.edu
SUMMARY:Exploratory Analysis & Visualization Workshop
DESCRIPTION:Participants will learn techniques for exploring and describing textual datasets\, identifying patterns\, and communicating findings through visualization. It will be one hour of theory and explanation of the concepts\, and the last hour will be hands-on practice in Python. Key topics include: Interpreting exploratory findings in a social science context\, word frequency analysis and comparative frequency\, N-grams (bigrams and trigrams) for phrase detection\, TF-IDF (Term Frequency-Inverse Document Frequency) for identifying distinctive terms\, text visualization best practices and techniques\, and much more!
URL:https://tamids.tamu.edu/2026/02/13/text-mining-workshop-series/
CATEGORIES:TAMIDS Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260326T130000
DTEND;TZID=America/Chicago:20260326T140000
DTSTAMP:20260428T152700
CREATED:20260225T215418Z
LAST-MODIFIED:20260303T202019Z
UID:19681-1774530000-1774533600@tamids.tamu.edu
SUMMARY:Navigating Creative Commons Licensing in the Age of AI
DESCRIPTION:Organized by the Center for Teaching Excellence. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use\, reuse\, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to create ancillary materials for use in their courses.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46443
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260325T120000
DTEND;TZID=America/Chicago:20260325T130000
DTSTAMP:20260428T152700
CREATED:20260225T215208Z
LAST-MODIFIED:20260213T173856Z
UID:19679-1774440000-1774443600@tamids.tamu.edu
SUMMARY:GSPDT - Using AI in Teaching
DESCRIPTION:Organized by the Center for Teaching Excellence. This workshop introduces graduate student instructors to practical and ethical approaches for incorporating generative AI tools into teaching and learning. The session will cover strategies for designing assignments that leverage AI responsibly\, setting clear expectations for student use\, and managing potential challenges such as academic integrity. Participants will also discuss ways AI can support their own teaching workflows while maintaining thoughtful pedagogical practices.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46058
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260324T140000
DTEND;TZID=America/Chicago:20260324T150000
DTSTAMP:20260428T152700
CREATED:20260224T201603Z
LAST-MODIFIED:20260305T202049Z
UID:19884-1774360800-1774364400@tamids.tamu.edu
SUMMARY:Hybrid Workflows for Immersive Data Visualization and Storytelling
DESCRIPTION:Wai Tong is an Assistant Professor in the Visual Computing & Computational Media section and the Virtual Production Institute in the College of Performance\, Visualization and Fine Arts at Texas A&M University.
URL:https://dtl.tamids.tamu.edu/2026/03/05/dtl-tech-talk-hybrid-workflows-for-immersive-data-visualization-and-storytelling/#new_tab
CATEGORIES:TAMIDS Event,Thematic Lab Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260324T140000
DTEND;TZID=America/Chicago:20260324T150000
DTSTAMP:20260428T152700
CREATED:20260220T214524Z
LAST-MODIFIED:20260303T202723Z
UID:19677-1774360800-1774364400@tamids.tamu.edu
SUMMARY:Student-Centered Learning Experience Design with Generative AI
DESCRIPTION:Organized by the Center for Teaching Excellence. This workshop introduces instructors to the principles of student-centered learning experience design\, with a focus on integrating generative AI tools available at Texas A&M University. Participants will explore how generative AI can support personalized\, engaging\, and enhanced learning environments\, and will apply these insights to design a student-centered learning module using TAMU-supported generative AI platforms.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46152
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260323T140000
DTEND;TZID=America/Chicago:20260323T150000
DTSTAMP:20260428T152700
CREATED:20260223T175223Z
LAST-MODIFIED:20260317T165638Z
UID:19907-1774274400-1774278000@tamids.tamu.edu
SUMMARY:Seminar Series: Uncertainty Estimation for Deep Neural Networks
DESCRIPTION:Danilo Silva is an Associate Professor in the Department of Electrical and Electronic Engineering at the Federal University of Santa Catarina\, Brazil\, where he leads the Machine Learning and Applications Research Group. He has also been a Visiting Researcher at the TAMIDS Scientific Machine Learning Lab since January 2026. He received his Ph.D. degree in Electrical Engineering from the University of Toronto in 2009 and held postdoctoral positions at the University of Toronto\, at the École Polytechnique Fédérale de Lausanne\, and at the State University of Campinas. \n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446 \n\n\n\n\n\n\n\n\nUncertainty Estimation and Selective Classification for Deep Neural Networks\n\n\n\nDespite the impressive predictive performance of deep neural networks across diverse tasks\, their predictions remain prone to errors\, posing significant challenges in safety-critical applications. This talk discusses uncertainty estimation and its use in selective prediction\, where a model abstains from low-confidence predictions to improve performance. In the first part\, we examine selective prediction in standard multi-class classification\, focusing on confidence estimation methods and post-hoc techniques that improve the risk-coverage trade-off. \n\n\n\nWe further reveal how prevalent regularization techniques\, such as label smoothing\, can improve classification accuracy while degrading selective classification by distorting probabilistic confidence estimates. In the second part\, we address selective prediction for semantic segmentation\, with emphasis on medical imaging. We derive an ideal image-level confidence estimator based on the Dice metric and introduce Soft Dice Confidence (SDC)\, a practical approximation with tight theoretical guarantees. Experiments on synthetic and medical datasets show that SDC yields superior confidence estimates even under distribution shift\, substantially improving the risk-coverage trade-off for image-level abstention. \n\n\n\n\n\n\n\nSeminar Flyer323Download
URL:https://tamids.tamu.edu/event/seminar-silva/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260318T120000
DTEND;TZID=America/Chicago:20260318T130000
DTSTAMP:20260428T152700
CREATED:20260218T214123Z
LAST-MODIFIED:20260311T191721Z
UID:19675-1773835200-1773838800@tamids.tamu.edu
SUMMARY:Using Generative AI to Align Course Learning Outcomes
DESCRIPTION:Organized by the Center for Teaching Excellence. This workshop highlights the importance of aligning course learning outcomes with content and demonstrates how generative AI tools can support this process. Participants will review the purpose of learning outcomes and explore practical ways to use generative AI to enhance alignment.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46143
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260316T140000
DTEND;TZID=America/Chicago:20260316T150000
DTSTAMP:20260428T152700
CREATED:20260216T201109Z
LAST-MODIFIED:20260311T191756Z
UID:19897-1773669600-1773673200@tamids.tamu.edu
SUMMARY:Seminar Series: Text Mining in Literature
DESCRIPTION:Kim Nimon\, PhD\, is Professor in the Department of Human Resource Development (HRD) at The University of Texas at Tyler and Director of the Office of Research and Scholarship’s Research Design and Data Analysis Lab. Dr. Nimon’s expertise spans employee engagement\, research design\, and analytical methodologies. She currently serves as External Evaluator for two National Science Foundation (NSF) grants and has previously served as principal investigator or External Evaluator for six additional NSF projects.  \n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 974 9688 4861Passcode: 923446 \n\n\n\n\n\n\n\n\nText Mining HRD Research: Tools for Extracting and Discovering Themes in Literature\n\n\n\n Systematic literature reviews are essential for advancing knowledge in Human Resource Development (HRD)\, yet the process of locating\, extracting\, and synthesizing information across large bodies of academic articles can be time-intensive. Advances in text mining and generative AI provide new opportunities to augment these processes while improving transparency and replicability. This seminar introduces two Shiny web applications designed to support text-mining–assisted literature review workflows in HRD research. \n\n\n\nThe first application\, xtract\, uses a Generative AI model to extract and organize structured information from academic articles. The session demonstrates a three-step workflow: (1) defining extraction fields and prompts\, (2) uploading article text\, and (3) generating structured outputs that facilitate synthesis across studies. By automating repetitive extraction tasks while applying consistent criteria\, xtract improves the efficiency and reproducibility of systematic reviews. The second application\, TopicMine\, applies Latent Dirichlet Allocation (LDA) topic modeling to perform text mining on extracted article content. TopicMine helps researchers identify themes\, patterns\, and emerging topics across HRD and related scholarly literature. This seminar will illustrate how AI-assisted extraction and topic modeling can complement traditional literature review methods. Participant feedback will inform continued development of these tools to support more scalable\, transparent\, and rigorous research synthesis in HRD. \n\n\n\n\n\n\n\nSeminar Flyer316Download
URL:https://tamids.tamu.edu/event/seminar-series-text-mining-in-literature/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260306T110000
DTEND;TZID=America/Chicago:20260306T120000
DTSTAMP:20260428T152700
CREATED:20260206T222610Z
LAST-MODIFIED:20260303T163421Z
UID:19820-1772794800-1772798400@tamids.tamu.edu
SUMMARY:From Signals to Society: Data Science for Understanding the Earth and Human Dynamics
DESCRIPTION:Location: OMB 206  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHao Tian\n\n\n\nPh.D. Student in the Department of GeographyHao Tian is a third-year Ph.D. student in the Department of Geography at Texas A&M University. His research focuses on urban human dynamics\, human–environment interactions\, and spatial modeling\, with a particular interest in using multi-source sensing and GeoAI approaches to understand how human activities respond to environmental and climatic stressors. \n\n\n\n\n\nCan Seismic Signals Decode Human Behavior? Toward a Data-Driven Understanding of Human Dynamics \n\n\n\nAmbient seismic noise\, traditionally regarded as merely “noise” in geophysics\, can in fact encode rich information about human activity. By integrating seismic data with mobility and environmental datasets through data-driven approaches\, this talk introduces how seismic sensing can reveal both large-scale human activity disruptions driven by extreme weather events and fine-grained\, street-level traffic states and dynamics\, highlighting its potential for advancing our understanding of human–environment interactions and urban resilience. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nYining Liu\n\n\n\nPh.D. Student in the Department of Urban and Regional ScienceYining Liu is a second-year PhD student in Urban and Regional Science. Her research focuses on the impacts of microclimatic conditions and built environment on human well-being. \n\n\n\n\n\nOutdoor Thermal Comfort and Recreational Walking Thresholds Among Older Adults in Subsidized Housing: Insights from Strava \n\n\n\nThis study uses crowdsourced Strava walking activity data to examine the non-linear relationship between outdoor thermal comfort and older adults’ recreational walking across Harris County\, Texas\, focusing on the summer period from July to September 2023. Outdoor thermal exposure is quantified using the novel COMFA-OA heat stress model\, which captures human–environment energy exchange and is specifically calibrated for older adults. Using non-linear response curve modeling\, the analysis estimates month-specific thermal comfort thresholds and evaluates walking behavior across street segments surrounding subsidized housing and a matched set of apartment neighborhoods.
URL:https://tamids.tamu.edu/event/from-signals-to-society-data-science-for-understanding-the-earth-and-human-dynamics/
CATEGORIES:Ambassador Event,TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260227T120000
DTEND;TZID=America/Chicago:20260227T124500
DTSTAMP:20260428T152700
CREATED:20260127T211520Z
LAST-MODIFIED:20260127T220504Z
UID:19670-1772193600-1772196300@tamids.tamu.edu
SUMMARY:GSPDT - Concept to Conversation Session: AI
DESCRIPTION:Organized by the Center for Teaching Excellence. This conversation-focused session invites participants to explore their experiences and questions about using AI in teaching and learning. After a brief overview of emerging practices and campus considerations\, participants will engage in open discussion to share examples\, concerns\, and creative approaches to integrating AI tools in thoughtful\, ethical ways.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46056
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260227T100000
DTEND;TZID=America/Chicago:20260227T120000
DTSTAMP:20260428T152700
CREATED:20260127T211544Z
LAST-MODIFIED:20260217T182152Z
UID:19795-1772186400-1772193600@tamids.tamu.edu
SUMMARY:Foundations & Text Reprocessing Workshop
DESCRIPTION:Participants will understand what text mining is and why it’s valuable for social science research. They’ll learn how to prepare text data for analysis and perform basic text cleaning\, learning about topics such as: Text mining applications in social sciences\, text mining vs. traditional qualitative methods\, the text mining pipeline\, corpus\, document\, token\, document-term matrix\, preprocessing techniques like tokenization\, lowercasing\, punctuation removal\, stopword removal\, lemmatization/stemming\, creating word frequency distributions and visualizations\, and much more!
URL:https://tamids.tamu.edu/2026/02/13/text-mining-workshop-series/
CATEGORIES:Ambassador Event,TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260223T153000
DTEND;TZID=America/Chicago:20260223T163000
DTSTAMP:20260428T152700
CREATED:20260123T174617Z
LAST-MODIFIED:20260213T174818Z
UID:19793-1771860600-1771864200@tamids.tamu.edu
SUMMARY:Digital Twin Lab Seminar: UAV Threat Detection
DESCRIPTION:This talk will delve into the use case of synthetic data for a developing need in the defense sector: detection of drones\, also known as Unmanned Aerial Vehicles (UAVs). 
URL:https://dtl.tamids.tamu.edu/2026/01/21/dtl-tech-talk-digital-twin-enabled-synthetic-data-for-robust-uav-threat-detection/#new_tab
CATEGORIES:TAMIDS Event,Thematic Lab Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260223T140000
DTEND;TZID=America/Chicago:20260223T150000
DTSTAMP:20260428T152700
CREATED:20260123T170739Z
LAST-MODIFIED:20260205T171154Z
UID:19751-1771855200-1771858800@tamids.tamu.edu
SUMMARY:Seminar Series: Dr. Wei Peng
DESCRIPTION:Wei Peng (Ph.D. in Communication\, University of Southern California\, 2006) is a Professor in the Department of Media and Information\, Michigan State University. Her recent projects focus on using conversational agents or chatbots\, digital games\, and mobile apps for health promotion\, health education\, and social change. \n\n\n\nLocation: Blocker 220 and Zoom \n\n\n\nZoom ID: 97496884861Passcode: 923446 \n\n\n\n\n\n\n\n\nLeveraging AI for Misinformation Debunking\n\n\n\nThis talk presents a program of research examining how such persuasive strategies can be systematically identified\, modeled\, and leveraged in AI-supported misinformation debunking. Drawing on a systematic review of online health misinformation\, we first outline twelve recurring persuasive strategies that characterize misleading health content. We then introduce a novel annotation scheme in which health-related misinformation articles are labeled for persuasive strategy use.  \n\n\n\nUsing this dataset\, we compare traditional fine-tuned models (RoBERTa) with large language models (GPT-4)\, demonstrating that in-context learning with ground-truth persuasive strategy labels substantially improves misinformation detection and enables interpretable\, strategy-based explanations. Finally\, we report findings from an online experiment testing whether AI-generated persuasive-strategy explanations enhance individuals’ ability to discern health misinformation. Results suggest that while AI explanations offer promise\, trust\, autonomy\, and psychological reactance critically shape user effectiveness. The talk concludes by discussing implications for explainable AI\, media literacy interventions\, and future research on trust building and appropriate reliance on AI systems for health misinformation management. \n\n\n\n\n\n\n\nSeminar Flyer 0223Download
URL:https://tamids.tamu.edu/event/seminar-series-peng/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260217T140000
DTEND;TZID=America/Chicago:20260217T150000
DTSTAMP:20260428T152700
CREATED:20260117T211243Z
LAST-MODIFIED:20260213T173642Z
UID:19667-1771336800-1771340400@tamids.tamu.edu
SUMMARY:Purposeful Personalized Learning with Generative AI
DESCRIPTION:Organized By the Center for Teaching Excellence. This hands-on workshop guides instructors through the principles of personalized learning\, emphasizing intentional design and learner agency. Participants will explore strategies for engaging students as co-designers in their learning journeys and discover how generative AI tools\, especially those available through Texas A&M University can support differentiated instruction and adaptive learning.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46098
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260216T140000
DTEND;TZID=America/Chicago:20260216T150000
DTSTAMP:20260428T152700
CREATED:20260116T165954Z
LAST-MODIFIED:20260205T170411Z
UID:19747-1771250400-1771254000@tamids.tamu.edu
SUMMARY:Seminar Series: Dr. Scott Powers
DESCRIPTION:Scott Powers is an assistant professor of sport analytics and statistics at Rice University\, where he has served since 2023. He earned his PhD in statistics in 2017 before working in professional baseball for six years—five with the Los Angeles Dodgers\, where he was analytics director during their 2020 World Series championship season\, and one with the Houston Astros\, where he served as assistant general manager during their 2022 World Series title. His current research investigates on-field strategy optimization across sports and examines how leagues can design incentive structures that enhance athlete safety and increase fan engagement. \n\n\n\nLocation: Blocker 220 and ZoomZoom ID: 97496884861Passcode: 923446 \n\n\n\n\n\n\n\n\nWinning Baseball Games by Solving Statistics Puzzles\n\n\n\nThis talk presents three applications of statistical methodology to research questions in baseball. First\, we consider a modification of supervised learning techniques applied to pitch-tracking data. Specifically\, we examine how the modeling framework changes when the objective is to evaluate the pitcher rather than the pitch. Second\, we analyze the strategic interaction between pitcher and baserunner under Major League Baseball’s recently implemented pickoff limits. We model this cat-and-mouse dynamic as a stochastic game and investigate how a runner may optimally adjust leadoff distance in response to successive pickoff attempts. Third\, we explore the newly available swing-level bat-tracking data released by MLB\, which provides measurements of bat speed and swing length at the point of contact. We address the methodological challenge that the outcome itself determines the point of measurement and discuss potential approaches for inference in this setting. \n\n\n\n\n\n\n\nSeminar Flyer216Download
URL:https://tamids.tamu.edu/event/seminar-series-powers/
CATEGORIES:TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260213T100000
DTEND;TZID=America/Chicago:20260213T110000
DTSTAMP:20260428T152700
CREATED:20260127T205446Z
LAST-MODIFIED:20260202T151600Z
UID:19665-1770976800-1770980400@tamids.tamu.edu
SUMMARY:Navigating Creative Commons Licensing in the Age of AI
DESCRIPTION:Organized by the Center for Teaching Excellence. This workshop introduces instructors to open licensing through Creative Commons and details the six licenses and their permissions that allow use\, reuse\, and revision without violating copyright laws. Participants will also see how these licenses allow material with Creative Commons licenses to be ingested into AI tools to create ancillary materials for use in their courses.
URL:https://ers.tamu.edu/register.aspx?ScheduleId=46441
CATEGORIES:GenAI Literacy,TAMIDS Event
ATTACH;FMTTYPE=image/png:https://tamids.tamu.edu/wp-content/uploads/2025/09/GenAI-Event-Square-01.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260212T160000
DTEND;TZID=America/Chicago:20260212T170000
DTSTAMP:20260428T152700
CREATED:20260112T173028Z
LAST-MODIFIED:20260209T174311Z
UID:19693-1770912000-1770915600@tamids.tamu.edu
SUMMARY:Leveraging Generative AI and MATLAB in Engineering Education
DESCRIPTION:GenAI Literacy Seminar: Presented by Armando Garcia\, Senior Academic Engineer at MathWorks\n\n\n\nThis session provides an overview of best practices and key use cases for applying Generative AI in engineering education. We will address academic integrity considerations and demonstrate practical examples of how these technologies can enhance teaching and learning. The session will explore the use of MATLAB Copilot for developing instructional materials\, implementing hands‑on projects with Arduino hardware\, and supporting student assessment workflows. To conclude\, we will highlight the resources MathWorks provides to Texas A&M educators and students for integrating Generative AI with MATLAB\, along with insights into ongoing initiatives aimed at advancing engineering education. \n\n\n\nVisit the Gen AI Literacy Initiative for more information and resources\, including our GenAI Consultancy Hub: tx.ag/GenAIHelp \n\n\n\nLocation: Blocker 220 \n\n\n\nThank you to NVIDIA for providing GPU credits and supporting this event! \n\n\n\nMathWorks Feb 12 FlyerDownload
URL:https://tamids.tamu.edu/event/leveraging-generative-ai-and-matlab-in-engineering-education/
CATEGORIES:GenAI Literacy,TAMIDS Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260211T193000
DTEND;TZID=America/Chicago:20260211T203000
DTSTAMP:20260428T152700
CREATED:20260130T211659Z
LAST-MODIFIED:20260130T211703Z
UID:19707-1770838200-1770841800@tamids.tamu.edu
SUMMARY:FYI - Outreach on the Frontier of Quantum Research
DESCRIPTION:Join Jimmy Newland for experiences conducting outreach on quantum engineering for teachers and students!
URL:https://tamu.zoom.us/j/99382302307?pwd=lt2lVlUoBP0H54tRbrJlvnVQuooXsC.1%20
END:VEVENT
END:VCALENDAR