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X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu
X-WR-CALDESC:Events for C2SMART Home
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DTSTART;TZID=America/New_York:20220215T123000
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DTSTAMP:20260507T055829
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UID:71559-1644928200-1644931800@c2smart.engineering.nyu.edu
SUMMARY:Context Driven Analytics and AI for Infrastructure and Facility Management
DESCRIPTION:Engineers and managers involved in facility/infrastructure operations need situational awareness and accurate assessment of as-is conditions when making daily decisions and developing short- and long-term plans. Currently\, however\, the situational awareness of engineers is often limited by a lack of actionable information relevant to the specific facilities and infrastructure systems in their purview. Advances in sensing and reality capture technologies\, such as 3D imaging via stationary platforms or drones and in-situ sensing\, streamline capturing of data depicting as-is conditions. Data collected from these technologies\, integrated with building information models\, enable context-driven analyses of as-is conditions\, generation of actionable information related to specific facilities/infrastructure systems\, and development of algorithms that help support proactive and predictive operations. Professor Burcu Akinci will provide an overview of the opportunities and research approaches associated with integration of sensor data with building/infrastructure information models and with development of context-driven algorithms. She’ll demonstrate applications of these approaches through specific deployments in several facilities and other infrastructure systems\, and highlight specific research projects being conducted at Carnegie Mellon University with a vision towards self-aware autonomous facilities and infrastructure systems.\n  \nDr. Burcu Akinci is Paul Christiano Professor of Civil & Environmental Engineering at Carnegie Mellon University and a member of the National Academies of Construction. She earned an MBA from Bilkent University (Ankara\, Turkey)\, and master’s and PhD degrees in civil and environmental engineering from Stanford University. Dr. Akinci’s research focuses on investigating utilization and integration of building information models with data capture technologies to create digital twins of construction projects and infrastructure operations and develop approaches to support proactive and predictive operations and management. Recipient of myriad awards\, including 4 best paper awards from top journals and PI of more than $6M grants\, she co-founded and is Chief Innovation Officer at LeanFM Technologies\, recipient of the 2017 Pittsburgh Business Times Innovation Award.
URL:https://c2smart.engineering.nyu.edu/event/improving-contraflow-left-turn-lane-design-at-signalized-intersections-to-decrease-traffic/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Big Data & Planning for Smart Cities
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220218T133000
DTEND;TZID=America/New_York:20220218T143000
DTSTAMP:20260507T055829
CREATED:20220203T172747Z
LAST-MODIFIED:20220217T212658Z
UID:72308-1645191000-1645194600@c2smart.engineering.nyu.edu
SUMMARY:Improving Contraflow Left-Turn Lane Design at Signalized Intersections to Decrease Traffic
DESCRIPTION:Contraflow left-turn lanes (CLL) are designed for increasing left-turn capacity and have been increasingly implemented at signalized intersections. Professor Yi Qi will introduce this innovative intersection design and the signal timing and geometric design required for its implementation. She will share a systematic method for determining CLL length and signal timing\, and a case study for evaluating the operational benefits of redesigning a real-world CLL intersection using these recommendations\, which resulted in decreased average traffic delay\, vehicle travel time\, and queue length. Professor Qi will also discuss an innovative signal timing strategy\, Counterclockwise Split Phasing (CSP) signal timing\, for implementing CLLs at signalized intersections with split phasing (SIWSPs.) She’ll share the results of a traffic simulation-based case study which indicate that by using the proposed CSP signal timing plan\, CLLs can be implemented at SIWSP to significantly reduce traffic congestion caused by high left-turn demand at this type of intersection. \n  \n \nDr. Yi Qi is the Chair of the Transportation Studies Department and a professor at Texas Southern University. Dr. Yi Qi is a very productive scholar who has directed more than 20 external foundered projects sponsored by various federal and local governments and has more than 50 journal publications\, and numerous conference proceeding papers and technical report publications. Her research areas include transportation safety analysis\, traffic signal operation\, intersection geometric design\, and GIS-based transportation system performance analysis. Dr. Qi is a nationally recognized scholar and serves as a member of numerous committees of national and international organizations. She received her M.S. and Ph.D. degrees in transportation planning and engineering from the Polytechnic University of New York (New York University Tandon School of Engineering) in 2002. In addition\, she has a B.S. in mathematics and an M.S. in probability and statistics from East China Normal University (ECNU) in China.
URL:https://c2smart.engineering.nyu.edu/event/improving-contraflow-left-turn-lane-design-at-signalized-intersections-to-decrease-traffic-2/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220222T120000
DTEND;TZID=America/New_York:20220222T130000
DTSTAMP:20260507T055829
CREATED:20220113T172607Z
LAST-MODIFIED:20220217T174232Z
UID:71561-1645531200-1645534800@c2smart.engineering.nyu.edu
SUMMARY:Proactive Road Safety Management Techniques
DESCRIPTION:The increasing popularity of smart cities and recent developments in sensing\, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity to substantially advance and fundamentally transform the road safety profession—enabling continuous\, real-time\, proactive safety evaluation and optimization. The application of innovations that are both progressing and disrupting the status quo represents an opportunity for improved transportation safety. However\, with the introduction of new modes of mobility and the complex interactions created by these different technologies within the transportation system\, governments will need to rely on advanced research and analysis techniques to support policies towards the transition to these new forms of mobility and technologies. These issues are discussed and several methods and techniques developed in this area are described with example projects from several agencies worldwide. \n  \nTarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. His research focuses on traffic operation and safety\, Intelligent Transportation Systems (ITS)\, and the application of information technologies.
URL:https://c2smart.engineering.nyu.edu/event/proactive-road-safety-management-techniques/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Safety in Transportation Systems
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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DTSTART;TZID=America/New_York:20220224T120000
DTEND;TZID=America/New_York:20220224T130000
DTSTAMP:20260507T055829
CREATED:20220217T175204Z
LAST-MODIFIED:20220217T175204Z
UID:73325-1645704000-1645707600@c2smart.engineering.nyu.edu
SUMMARY:State-of-the-Field: New Fiber Optic Structural Health Monitoring (SHM) Technologies and Recent Case Studies
DESCRIPTION:SMS provides specialized\, fiber-optic structural health monitoring (SHM) systems for bridges and tunnels and world-wide has worked with many agencies and engineering firms. Terry Tamutus\, Founder and CEO of SMS\, will discuss solutions to new construction problems and deteriorating bridges. He’ll share successful case studies\, lessons-learned\, critical safety issues\, O&M improvement\, deterioration models\, and asset management. This webinar will provide engineers with a high-level SHM overview\, types of RFPs used by different agencies\, and a check-list for SHM project oversight. \nIn the State-of-the-Field event series\, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances\, opportunities\, predictions\, research bottlenecks\, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems. \n Terry Tamutus of SMS\, is a Mechanical Engineer and has over 30 years of SHM expertise. Terry has published over 20 peer-reviewed papers on Acoustic SHM. He provides SHM design\, application support\, installation\, training\, and product development. Worldwide\, he has provided hundreds of papers and presentations to universities\, engineering societies (NACE\, PTI\, ASNT\, TRB)\, government agencies (DoD\, DOTs\, NIST\, FAA\, NASA\, FHWA)\, and companies including Boeing\, Lockheed\, PowerGen\, and refineries.\n 
URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-new-fiber-optic-structural-health-monitoring-shm-technologies-and-recent-case-studies/
CATEGORIES:Infrastructure Resiliency,Virtual Events,Webinars
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:https://c2smart.engineering.nyu.edu/event/state-of-the-field-new-fiber-optic-structural-health-monitoring-shm-technologies-and-recent-case-studies/
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DTSTART;TZID=America/New_York:20220224T140000
DTEND;TZID=America/New_York:20220224T160000
DTSTAMP:20260507T055829
CREATED:20220223T211416Z
LAST-MODIFIED:20220223T211951Z
UID:73527-1645711200-1645718400@c2smart.engineering.nyu.edu
SUMMARY:USDOT Artificial Intelligence Video Forum
DESCRIPTION:The U.S. Department of Transportation (USDOT) will be offering a preview of the latest innovative research in artificial intelligence (AI) in transportation from University Transportation Centers (UTCs) across the country. The webinar will feature the research of 11 UTCs\, each of which has produced a short video showcasing their USDOT-funded AI research and its potential impact on society. Videos will address issues of national importance such as distracted driving\, pedestrian safety\, traffic mitigation\, and much more. The video presentation segment is approximately one hour\, with Q&A afterwards. \nFeatured universities include: \n\nCarnegie Mellon University\nClemson University\nLouisiana State University\nMissouri University of Science and Technology\nMorgan State University\nNew York University\, University of Texas – El Paso\, University of Washington\, Rutgers University\, and The City College of New York (consortium)\nNorth Carolina Agricultural and Technical State University\nSan Jose State University\nSouth Dakota State University\nThe University of Tennessee and The University of North Carolina at Chapel Hill\nVirginia Tech Transportation Institute
URL:https://c2smart.engineering.nyu.edu/event/usdot-artificial-intelligence-video-forum/
CATEGORIES:Conferences
LOCATION:https://c2smart.engineering.nyu.edu/event/usdot-artificial-intelligence-video-forum/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T140000
DTEND;TZID=America/New_York:20220225T150000
DTSTAMP:20260507T055829
CREATED:20220217T144154Z
LAST-MODIFIED:20220217T212946Z
UID:73300-1645797600-1645801200@c2smart.engineering.nyu.edu
SUMMARY:Hands-On Tutorials for Amazon Web Services (AWS)
DESCRIPTION:Instructor: Yubin Shen\, Research EngineerHands-on exercise: YesBeginner level: No prior experience required.Schedule: February 25\, 2022 | 2:00 PM – 3:00 PM ET \nThis course will go through the most popular Amazon Web Services (AWS) with two small projects: 1) build a static website using AWS Simple Storage Service (S3)\, and 2) build a WordPress website using AWS Elastic Computing (EC2) and Relational Database Service (RDS). \nRSVP here. \n \n 
URL:https://c2smart.engineering.nyu.edu/event/hands-on-tutorials-for-amazon-web-services-aws/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
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