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DTSTART;TZID=America/New_York:20241011T130000
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SUMMARY:Student Learning Hub: Comprehensive Urban Data Collection Using Drones: From Licensing to Advanced Sensor Applications
DESCRIPTION:Instructor: Tu Lan & Vivaldi Rinaldi\, New York University\nBeginner level: No prior experience required.\nSchedule: Friday\, October 11\, 1:00 pm – 2:00 pm ET\nDescription: Drones are becoming an invaluable tool for urban data collection\, offering a wide range of applications from traffic monitoring to environmental analysis. This course introduces participants to the full scope of using drones for traffic data collection\, starting with the necessary FAA licensing and airspace regulations\, followed by practical guidance on drone operation and control. We’ll explore the different sensors and gimbals that can be equipped on drones\, such as cameras\, thermal imaging\, and LiDAR\, and their respective applications in collecting urban data. This session provides a comprehensive understanding of how drones can be utilized for diverse data-driven urban analyses.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-comprehensive-urban-data-collection-using-drones-from-licensing-to-advanced-sensor-applications/
CATEGORIES:Student Events,Webinars
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DTSTART;TZID=America/New_York:20241017T100000
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SUMMARY:NYC V2X & AI Symposium
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/nyc-c-v2x-ai-symposium/
LOCATION:Pfizer Auditorium\, 5 MetroTech\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Conferences
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DTSTART;TZID=America/New_York:20241023T130000
DTEND;TZID=America/New_York:20241023T140000
DTSTAMP:20260430T175323
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UID:86064-1729688400-1729692000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Where Are All the Robots\, and Why Aren't There More of Them?
DESCRIPTION:Instructor: Irving Fang\, New York University\nBeginner level: No prior experience required. \nSchedule: Wednesday\, Oct 23th\, 2024 1:00 PM – 2:00 PM\nDescription: In the talk\, we will discuss some of the latest progress in robotic applications over the last few years and the technology behind them. We will also discuss the current obstacles to an even wider spread of robots and the technical details involved.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-where-are-all-the-robots-and-why-arent-there-more-of-them/
CATEGORIES:Student Events
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241026T093000
DTEND;TZID=America/New_York:20241026T170000
DTSTAMP:20260430T175323
CREATED:20240917T214552Z
LAST-MODIFIED:20240917T214640Z
UID:86044-1729935000-1729962000@c2smart.engineering.nyu.edu
SUMMARY:TransportationCamp NYC 2024
DESCRIPTION:TransportationCamp NYC will be held on Saturday\, October 26th at NYU’s Tandon School of Engineering in Downtown Brooklyn. Join us to discuss all things transportation and connect with professionals\, students\, and enthusiasts alike! \nTransportationCamp is an unconference – every session is planned\, proposed\, and led by attendees like you. It’s the perfect opportunity to share your transportation passion with a diverse gathering of individuals from our multidisciplinary industry. \nTransportationCamp welcomes all attendees\, whether you’re a planner\, software developer\, engineer\, student\, transportation professional\, community member\, policymaker\, or just excited about mobility!
URL:https://c2smart.engineering.nyu.edu/event/transportationcamp-nyc-2024/
LOCATION:370 Jay Street
CATEGORIES:Conferences,Student Events
ORGANIZER;CN="ITE Met Section":MAILTO:webmaster@ite-metsection.org
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DTSTART;TZID=America/New_York:20241028T143000
DTEND;TZID=America/New_York:20241028T160000
DTSTAMP:20260430T175323
CREATED:20241024T182019Z
LAST-MODIFIED:20241024T182019Z
UID:86269-1730125800-1730131200@c2smart.engineering.nyu.edu
SUMMARY:KAIST CEE x NYU CUE Research Seminar
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/kaist-cee-x-nyu-cue-research-seminar/
CATEGORIES:Seminars
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DTSTART;TZID=America/New_York:20241030T100000
DTEND;TZID=America/New_York:20241030T110000
DTSTAMP:20260430T175323
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UID:86211-1730282400-1730286000@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Spatio-temporal Adaptive AI for Urban Mobility Modeling
DESCRIPTION:Abstract: Rapidly developing mobile and sensor networks are accumulating massive volumes of human mobility data in cities. Predictive modeling on these data is a fundamental problem in building decision support systems for various urban and transportation applications. In the real world\, such spatio-temporal data show multifold heterogeneity over space and non-stationarity over time\, which makes the prediction task especially challenging. My research focuses on developing adaptive AI algorithms (e.g.\, meta learning) to enhance the robustness of mobility prediction models. Making robust predictions across space and time lays a foundation for not only next generation mobility services\, but also emergency response to adverse events\, including traffic accidents\, pandemic lockdown\, and natural disasters. \nBio: Zhaonan Wang joined NYU Shanghai in Fall 2024 as a Tenure-Track Assistant Professor jointly appointed by Urban Studies and Computer Science. Zhaonan obtained his PhD degree in 2022 from the University of Tokyo\, advised by Ryosuke Shibasaki; during his PhD study\, he also visited the research group led by Flora Salim\, Cisco Chair at UNSW CSE. After graduation\, Zhaonan did his postdoctoral research on Spatial AI under the supervision of Shaowen Wang and Jiawei Han at the University of Illinois Urbana-Champaign (CyberGIS Center & NSF I-GUIDE). Zhaonan’s research interests lie in the interdisciplinary area between urban & AI\, and he’s been published in top-tier AI and data science venues\, including AAAI\, KDD\, WWW\, CIKM\, ICDE\, AIJ\, TKDE. He’s also been invited to serve as a Program Committee member and awarded travel grants for multiple times. During his PhD\, Zhaonan won a MEXT (Japanese government) scholarship in Top Global University Initiative\, Top-10 candidates in KDD Cup 2019 Humanity RL Track\, and best resource paper runner-up at ACM CIKM 2021. He also had close collaboration with industry\, including the National Institute of Advanced Industrial Science and Technology (AIST in Japan)’s AI Research Center\, Yahoo Japan\, and Toyota.
URL:https://c2smart.engineering.nyu.edu/event/zhaonan-wang-webinar/
CATEGORIES:Webinars
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