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X-WR-CALDESC:Events for Center for Smart Streetscapes
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DTSTART;TZID=America/New_York:20231020T120000
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DTSTAMP:20260418T171321
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SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, three faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nChinwendu Enyioha\, Assistant Professor at University of Central Florida (UCF) \n\nPresentation Abstract: In the talk\, I will present some results on fully distributed cooperative state estimation in communication-constrained environments. I will show how agents can effectively manage communication bandwidth by compress state information being shared with neighbors and summarize stability guarantees.\n\nZhaobin Mo\, Ph.D. Student at Columbia University \n\nPresentation Abstract: For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models)\, physics-informed deep learning (PIDL)\, a paradigm hybridizing physics-based models and deep neural networks (DNN)\, has been booming in science and engineering fields. One key challenge of applying PIDL to various domains and problems lies in the design of a computational graph that integrates physics and DNNs. In other words\, how physics is encoded into DNNs and how the physics and DL components are represented. We present a variety of architecture designs of PIDL computational graphs and how these structures are customized to different tasks in transportation\, i.e.\, traffic state estimation and car-following behavior modeling.\n\nSonia Moshfeghi\, Ph.D. Student at Florida Atlantic University \n\nPresentation Abstract: As in-vehicle telematics technologies advance\, they offer applicable techniques for monitoring and evaluating driving behavior. Telematics systems can combine telecommunication and information processing to capture various types of driving data\, such as acceleration\, GPS\, and onboard diagnostics (OBD) data. Identifying significant patterns and behaviors with feature extraction techniques provides insights into driver performance for applications like autonomous vehicles\, demand estimations\, insurance pricing strategies\, driver training programs\, and accident prevention strategies.\n\nCS3 VALIDATE Accelerator Program:\nAttendees of this month’s CS3 Research Exchange are welcome to stay after the presentations for an informational session (1:00 – 1:30PM) on the CS3 VALIDATE Accelerator Program. \nThe NSF Engineering Research Center for Smart Streetscapes (CS3) VALIDATE Accelerator is a 9-week non-dilutive program focused on validating and scaling successful early-stage ventures through in-depth education\, mentorship\, and business model design. It offers early stage teams a customized program with education from industry and academic research experts\, hands-on value-added workshops\, active mentoring\, and venture creation opportunities. \nThe program will run February through April of 2024. \nThe CS3 Monthly Research Exchanges are internal and open only to CS3 affiliated students\, faculty\, and staff. If you are interested in learning more about the research happening at CS3\, please contact our team at streetscapes@columbia.edu.
URL:https://cs3-erc.org/event/cs3-monthly-research-exchange-3/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/10.20.23-CS3-Monthly-Research-Exchange-Updated.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230927T170000
DTEND;TZID=UTC:20230927T200000
DTSTAMP:20260418T171321
CREATED:20230804T220949Z
LAST-MODIFIED:20241210T233348Z
UID:789-1695834000-1695844800@cs3-erc.org
SUMMARY:My Streetscape Photovoice Exhibit
DESCRIPTION:Join us for the Opening Night of the My Streetscape Photovoice Exhibit\, an event organized by The Trust Collaboratory at Columbia University in collaboration with the Center for Smart Streetscapes (CS3)\, exploring the intersection of urban technology and trust. Register here. \nThe exhibit will explore questions regarding the proper balance between security\, privacy\, and trust as new technologies are introduced in Harlem and other communities\, such as wireless and optical communications\, edge and cloud computing\, situational awareness systems\, and other technological solutions. The Opening Night is the culmination of the My Streetscape Summer School\, a six-week-long program for local high school students to help them foster critical thinking and productive dialogue on how urban technology could be implemented in ways that elicit trust\, safeguard privacy\, and serve the needs of the local community. \nPhotovoice is a participatory action-research method that empowers communities through visual techniques\, such as photography or video\, and narrative accounts to explore the lived conditions of a community. In this context\, our focus will be on the vibrant neighborhood of Harlem and the promises and challenges of introducing urban technology in CS3’s testbed. \nThe Opening Night will welcome members of the public\, local non-profits\, industry partners\, technology experts\, scholars\, and residents\, to explore the exhibit’s themes and issues. Join us! \nThe exhibition will be free and open to the public. Drinks and appetizers will be provided during the Opening Night on September 27\, 2023. Gates will open at 5 PM. \nJoin us for a transformative opportunity to engage in a dialogue about the future of urban technology and learn more about how to participate in the My Streetscape Summer School in the future. \nMore information about the My Streetscape program can be found here. \nFind out more about our work and visit CS3 and the Trust Collaboratory online!
URL:https://cs3-erc.org/event/my-streetscape-photovoice-exhibit/
LOCATION:The Forum at Columbia University\, 601 West 125th Street\, New York\, NY\, 10027\, United States
CATEGORIES:Community,Education
ATTACH;FMTTYPE=image/jpeg:https://cs3-erc.org/wp-content/uploads/2024/07/Streetscapes-Exhibit-2023-32-of-125-scaled-1.jpg
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DTSTART;TZID=America/New_York:20230922T130000
DTEND;TZID=America/New_York:20230922T140000
DTSTAMP:20260418T171321
CREATED:20230906T230159Z
LAST-MODIFIED:20241210T231939Z
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SUMMARY:A conversation with Dr. Berk Birand\, co-founder and CEO of Fero Labs
DESCRIPTION:Join us for a conversation with Dr. Berk Birand\, who served as the Vice President of another ERC SLC before becoming the co-founder and CEO of Fero Labs! Berk\, a Columbia Electrical Engineering and WiMNet Lab PhD ’15 alumnus\, will share insights from his journey. This event is open to students from NSF CS3-ERC institutions (Columbia\, FAU\, UCF\, Rutgers\, Lehman).
URL:https://cs3-erc.org/event/a-conversation-with-dr-berk-birand-co-founder-and-ceo-of-fero-labs/
LOCATION:Zoom
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2023/09/unnamed.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230915T120000
DTEND;TZID=America/New_York:20230915T130000
DTSTAMP:20260418T171321
CREATED:20230906T225024Z
LAST-MODIFIED:20241210T231731Z
UID:858-1694779200-1694782800@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, three faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nAbhishek Adhikari\, M.S/Ph.D Student at Columbia University \n\nPresentation Abstract: Beyond-5G and 6G wireless networks can sense the nearby environment in addition to performing traditional communication responsibilities via Joint Communications and Sensing (JCAS). A potential application of JCAS could be to sense vehicles crossing a street intersection and communicate to pedestrians who may be visually impaired. In this talk\, we share preliminary vehicle detection results at a street intersection in NYC using a Nokia Bell Labs 28 GHz channel sounder traditionally used for propagation modeling in communication.\n\nStepan Mazokha\, Ph.D. Student at Florida Atlantic University \n\nPresentation Abstract: In this presentation\, I will discuss the details of my recent paper entitled\, “MobLoc: CSI-based Location Fingerprinting with MUSIC”. The objective of the project has been to implement and evaluate a passive WiFi localization method using Channel State Information. The latter has been designed using a fingerprinting method using a 1D MUSIC algorithm and was able to achieve meter-level localization in several indoor environments.\n\nJorge Ortiz\, Assistant Professor at Rutgers University \n\nPresentation Abstract: This talk focuses on human-AI interaction through multimodal learning and interaction\, highlighting my lab’s past and future work on intelligent agents that utilize and integrate multimodal learning techniques to infer human intent and enable innovative forms of interaction. We explore interaction within vehicles\, robots that assist disabled individuals\, and investigate methods to close the learning loop through interactive learning agents. Additionally\, we examine various forms of intervention in a vehicular context and assess how these techniques translate to future Streetscape interactive systems.\n\nThe CS3 Monthly Research Exchanges are internal and open only to CS3 affiliated students\, faculty\, and staff. If you are interested in learning more about the research happening at CS3\, please contact our team at streetscapes@columbia.edu.
URL:https://cs3-erc.org/event/cs3-monthly-research-exchange-2/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2023/09/9.15.23-CS3-Monthly-Research-Exchange.png
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DTSTART;TZID=UTC:20230818T120000
DTEND;TZID=UTC:20230818T130000
DTSTAMP:20260418T171321
CREATED:20230814T180728Z
LAST-MODIFIED:20241210T231302Z
UID:829-1692360000-1692363600@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, three faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nSharon Di\, Associate Professor at Columbia University \n\nPresentation Abstract: Transportation digital twins have become increasingly popular tools to improve traffic efficiency and safety. However\, the majority of effort nowadays is focused on the “eyes” of the digital twin\, which is object detection using computer vision. I believe the key to empowering the intelligence of a transportation digital twin lies in its “brain\,” namely\, how to utilize the information extracted from various sensors to infer traffic dynamics evolution and devise optimal control and management strategies with real-time feedback to guide the transportation ecosystem toward a social optimum. My research aims to employ tools including machine learning and game theory to develop an urban transportation digital twin.\n\nAbigail Joseph\, Undergraduate Student at Florida Atlantic University \n\nPresentation Abstract: Integrating Unity with real data\, AI technology\, and C# scripting is used to a create digital twin environment of West Palm Beach\, where multiple agents’ traveling behaviors are defined at a streetscape level\, including walking at a particular speed\, stopping at an intersection to look for cars before crossing\, and avoiding other pedestrians. It is anticipated that the methods which produced these results will be used to simulate the interactions between vehicles and pedestrians with substantial accuracy.\n\nCarl Vondrick\, Associate Professor at Columbia University \n\nPresentation Abstract: Computer vision algorithms need to combine many skills — spatial\, physical\, mathematical\, geometrical\, and cognitive — in order to accurately analyze the visual world. In this talk\, I will show how large generative models equip neural networks with these skills\, thereby providing versatile representations for reconstructing 3D\, answering questions\, and recognizing objects. Through a series of experimental results\, I will moreover show how this approach naturally provides inherent explainability of the decision making process\, while also achieving state-of-the-art zero-shot performance across different tasks and benchmarks. In some cases\, this framework can even perform super-human perception.\n\nThe CS3 Monthly Research Exchanges are internal and open only to CS3 affiliated students\, faculty\, and staff. If you are interested in learning more about the research happening at CS3\, please contact our team at streetscapes@columbia.edu.
URL:https://cs3-erc.org/event/cs3-monthly-research-exchange/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2023/08/8.18.23-CS3-Monthly-Research-Exchange-1.png
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