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DTSTART;TZID=America/New_York:20260429T183000
DTEND;TZID=America/New_York:20260429T203000
DTSTAMP:20260414T175434Z
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SUMMARY:Spring 2026 Senior Design Center's 'Posters and Pies'
DESCRIPTION:Join the Department of Computer Science for the Senior Design Center’s ‘Posters and Pies’ celebration on Wednesday\, April 29\, 2026 from 6:30 – 8:30 p.m. at the McKimmon Center in Raleigh. Each of our Spring 2026 Senior Design teams will proudly show off project demonstrations and poster displays! Dessert pies\, snacks and drinks will be served. \nAbout the Senior Design Center (SDC)\nFor three decades\, the SDC has brought student teams and corporate sponsors together to work on real-world problems\, with a goal of creating viable products\, services and solutions. This is one of the department’s strongest programs\, helping develop and differentiate graduates as they enter the industry in a time of change\, collaboration and growth. \nSee projects and sponsor information here. \nThank you to our program partners for their support of the Senior Design Center’s ‘Posters and Pies’: Blue Cross NC\, LexisNexis\, SAS and the Computer Science ePartners Program for their support of this event! \nMedia is welcome at this event. Contact Leslie Rand-Pickett for media and corporate partnership inquiries. \nMcKimmon Center visitor information.
URL:https://csc.ncsu.edu/event/spring-2026-senior-design-centers-posters-and-pies/
LOCATION:The McKimmon Center\, 1101 Gorman St\, Raleigh\, NC\, 27606\, United States
CATEGORIES:Senior Design Center
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ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260410T100000
DTEND;TZID=America/New_York:20260410T110000
DTSTAMP:20260410T021842Z
CREATED:20260409T155624Z
LAST-MODIFIED:20260410T021842Z
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SUMMARY:Learning foundation operators and diffusion models over function spaces
DESCRIPTION:Speaker:\nLu Lu\, Yale University \nAbstract:\nAs an emerging paradigm in scientific machine learning (SciML)\, deep neural operators pioneered by us can learn nonlinear operators of complex dynamic systems via neural networks. In this talk\, I will present the vanilla deep operator network (DeepONet) and several extensions of DeepONet\, such as DeepONet with Fourier decoder layers and geometry-dependent/manifold operator learning. I will demonstrate their effectiveness on diverse multiphysics and multiscale 3D problems\, such as geological carbon sequestration\, full waveform inversion\, and topology optimization. I will present the first operator learning method that requires only one PDE solution\, i.e.\, one-shot learning\, by introducing a new concept of local solution operator based on the principle of locality of PDEs. I will also present the first systematic study of federated SciML for approximating functions and solving PDEs with data heterogeneity. Moreover\, I will present our recent work on diffusion models\, including FunDiff as a novel framework of diffusion models over function spaces for physics-informed generative modeling and solving forward and inverse PDE problems\, and RED-DiffEq as regularization by denoising diffusion models for solving inverse PDE problems. \nBio:\nLu Lu is an Assistant Professor in the Department of Statistics and Data Science at Yale University. Prior to joining Yale\, he was an Assistant Professor in the Department of Chemical and Biomolecular Engineering at University of Pennsylvania from 2021 to 2023\, and an Applied Mathematics Instructor in the Department of Mathematics at Massachusetts Institute of Technology from 2020 to 2021. He obtained his Ph.D. degree in Applied Mathematics at Brown University in 2020\, master's degrees in Engineering\, Applied Mathematics\, and Computer Science at Brown University\, and bachelor's degrees in Mechanical Engineering\, Economics\, and Computer Science at Tsinghua University in 2013. His current research interest lies in scientific machine learning and artificial intelligence for science\, including theory\, algorithms\, software\, and its applications to engineering\, physical\, and biological problems. His broad research interests focus on multiscale modeling and high performance computing for physical and biological systems. He has received the Department of Energy Early Career Award\, MIT Technology Review Innovators under 35 Asia Pacific\, Mathematics Young Investigator Award from MDPI\, and Joukowsky Family Foundation Outstanding Dissertation Award of Brown University. \nHost:\nDongkuan (DK) Xu\, CSC \nZoom:\nContact CS Grad Office for access questions.
URL:https://csc.ncsu.edu/event/learning-foundation-operators-and-diffusion-models-over-function-spaces/
CATEGORIES:CS AI Seminar Series,Lecture/Seminar
ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260212T180000
DTEND;TZID=America/New_York:20260212T190000
DTSTAMP:20260212T192304Z
CREATED:20251219T181851Z
LAST-MODIFIED:20260212T192304Z
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SUMMARY:Labcorp ‘Leadership in Technology’ Speaker Series: Frank Price
DESCRIPTION:Frank Price\nSVP\, Chief Information Risk Officer\, Labcorp\nThe Cyber Threat Landscape for 2026\nCybersecurity has become one of the most critical challenges of the digital age. We will examine the rapidly evolving threat landscape\, including the impact of ransomware\, artificial intelligence’s growing role in attack and defense\, digital impersonation\, the growth of cybercrime as a business\, and readiness for post-quantum computing threats. Additionally\, we will address the concept of cyber resilience. \nBio\nA security practitioner since 1993\, Frank Price has built and refined cybersecurity and information risk management programs in multiple business sectors\, including international banking\, global telecommunications and high-end retail; however\, his passion and main focus have been in healthcare\, where he has led  programs for Medco Health Solutions\, CVS Health and Labcorp\, where he currently serves as the Chief Information Risk Officer. \nPrice has previously served on the Board of Directors for the Health Information Sharing and Analysis Center (H-ISAC)\, a global non-profit organization offering health care stakeholders a trusted community for sharing physical and cyber threat intelligence and best practices. He is a member of the Health Sector Coordinating Council’s Post-Quantum Cryptography Task Group and is a regular panelist and speaker at forums on cybersecurity and resilience. He has a bachelor’s degree in information systems management from New York University\, and has previously served as an adjunct professor at Rutgers University in New Jersey\, where he taught information security concepts to students as part of an experimental work/education program called SOAR. \n  \nNote to Computer Science Graduate Students:This lecture has been approved by the CS Graduate Oversight Committee and counts toward the required lectures for graduate students. \nWatch Live
URL:https://csc.ncsu.edu/event/labcorp-leadership-in-technology-speaker-series-frank-price/
LOCATION:EB2 1025\, 890 Oval Drive.\, Raleigh\, 27606\, United States
CATEGORIES:LabCorp Seminar,Lecture/Seminar
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ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
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DTSTART;TZID=America/New_York:20251211T133000
DTEND;TZID=America/New_York:20251211T150000
DTSTAMP:20251205T161807Z
CREATED:20251104T161513Z
LAST-MODIFIED:20251205T161807Z
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SUMMARY:Graduation Ceremony (Fall 2025)
DESCRIPTION:On December 11\, 2025 at 1:30 p.m. at Reynolds Coliseum\, the Department of Computer Science welcomes family and friends of our Fall 2025 graduates. We will be celebrating the dedication and commitment of our graduating doctoral\, master and bachelor degree students as they carry forward a tradition of excellence\, accomplishment and life-long learning. \nCan’t make the ceremony? View the livestream here.
URL:https://csc.ncsu.edu/event/graduation-ceremony-fall-2025/
LOCATION:Reynolds Coliseum\, 2411 Dunn Ave\, Raleigh\, NC\, 27607\, United States
CATEGORIES:Department
ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251023T183000
DTEND;TZID=America/New_York:20251023T193000
DTSTAMP:20251021T162558Z
CREATED:20250807T213249Z
LAST-MODIFIED:20251021T162558Z
UID:10000023-1761244200-1761247800@csc.ncsu.edu
SUMMARY:Labcorp ‘Leadership in Technology’ Speaker Series: Nate Johnson
DESCRIPTION:Nate Johnson\nVice President of Weather Content and Operations\, NBCUniversal Local\nArtificial Intelligence\, Real Impacts: Meteorology in the Era of AI\nAbstract\nFrom the earliest days of numerical weather prediction to the latest breakthroughs in artificial intelligence\, technology has propelled the science of meteorology. The emergence of AI is continuing that trend\, with applications now reaching across observation and modeling of the atmosphere to communication of forecasts and impacts. This talk traces the evolution of AI in meteorology\, from the first numerical models and early machine-learning-like methods to improve forecasts to modern approaches such as observation quality control\, AI-based atmospheric predictions\, and personalized weather services for different audiences. The discussion also highlights the opportunities and challenges AI creates for communicating forecasts in ways that strengthen decision-making\, resilience\, and public understanding.\n\nBio\nNate Johnson (B.S. Computer Science\, ’00) is Vice President of Weather Content and Operations for NBCUniversal Local\, where he guides strategy and innovation for weather coverage across 44 English- and Spanish-language TV stations across the country. He leads more than 120 weather professionals nationwide\, setting standards\, identifying best practices\, and providing tools and techniques they need to provide the most accurate forecasts on TV\, web\, apps\, and beyond. Johnson also coordinates the group’s climate reporting and collaborates with technology\, operations\, and digital teams on projects ranging from radar systems to app and website development.  Previously\, he was a meteorologist and executive producer at WRAL-TV in Raleigh.  His work has earned four regional Emmy Awards\, two national Emmy nominations\, a duPont-Columbia nomination\, and multiple Associated Press and Edward R. Murrow awards. A past president of the National Weather Association\, he is also a member of the NC State University Computer Science Hall of Fame and holder both the American Meteorological Society’s Certified Broadcast Meteorologist designation and the National Weather Association’s Seal of Approval.\n\n\nWatch the talk here.\nNote to Computer Science Graduate StudentsThis lecture has been approved by the CS Graduate Oversight Committee and counts toward the required lectures for graduate students.
URL:https://csc.ncsu.edu/event/nate-johnson/
LOCATION:EB2 1231\, 890 Oval Drive\, Raleigh\, NC\, 27606\, United States
CATEGORIES:LabCorp Seminar
ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250822T133000
DTEND;TZID=America/New_York:20250822T153000
DTSTAMP:20250820T154909Z
CREATED:20250820T154827Z
LAST-MODIFIED:20250820T154909Z
UID:10000024-1755869400-1755876600@csc.ncsu.edu
SUMMARY:CS Undergraduate Research and Projects Lightning Talks
DESCRIPTION:Interested in CS research\, but don’t know how to get started? Want to work on an independent study project? Come to the CS Undergraduate Research and Projects Lightning Talks and learn about independent undergraduate research and project opportunities! Hear short presentations from our CS professors looking for undergraduate research assistants! And talk to professors whose research sounds interesting to you!  You could work as an undergraduate researcher (paid or for course credit) as early as next week! Project information will be posted to http://go.ncsu.edu/csc_ugresearch for students to review over the week of August 18.
URL:https://csc.ncsu.edu/event/cs-undergraduate-research-and-projects-lightning-talks/
LOCATION:EB2 1231\, 890 Oval Drive\, Raleigh\, NC\, 27606\, United States
CATEGORIES:Department
ORGANIZER;CN="Computer Science":MAILTO:lcrandpi@ncsu.edu
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