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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251204T113000
DTEND;TZID=America/New_York:20251204T123000
DTSTAMP:20260422T144704
CREATED:20251027T155112Z
LAST-MODIFIED:20251027T155112Z
UID:5514-1764847800-1764851400@cs3-erc.org
SUMMARY:SLC Monthly Meeting December 2025
DESCRIPTION:Monthly meeting for the CS3 Student Leadership Council (SLC). \nThis is a CS3 internal meeting.
URL:https://cs3-erc.org/event/slc-monthly-meeting-december-2025/
LOCATION:Zoom
CATEGORIES:SLC
ATTACH;FMTTYPE=image/jpeg:https://cs3-erc.org/wp-content/uploads/2025/10/SLC-24-25-GROUP-1-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251110T160000
DTEND;TZID=America/New_York:20251110T170000
DTSTAMP:20260422T144704
CREATED:20251027T154847Z
LAST-MODIFIED:20251029T143203Z
UID:5513-1762790400-1762794000@cs3-erc.org
SUMMARY:CS3 Industry Speaker Series: Dr. Patrick Alrassy
DESCRIPTION:Join the Center for Smart Streetscape (CS3) Student Leadership Council (SLC) for an engaging session in our Industry Speaker Series\, featuring leaders at the forefront of smart cities\, transportation innovation\, and urban technology. This event offers students and researchers the opportunity to learn from professionals shaping the future of intelligent infrastructure and to explore pathways for collaboration\, internships\, and career growth within the evolving smart streetscape ecosystem. \nAbout Our Speaker\nDr. Patrick Alrassy is a Staff Research Engineer at Meta’s Super Intelligence Lab\, where he works on new Generative AI Evaluation frameworks. He specializes in building evaluation benchmarks for large language models across domains such as STEM\, law\, finance\, and creative reasoning. Dr. Alrassy holds a Ph.D. in Civil & Engineering Mechanics from Columbia University\, and an affiliate to Columbia’s Smart Cities Center\, where his research advanced smart cities and large-scale telematics data for safer road networks. His prior work spans spatial AI\, autonomous systems\, particularly self-driving cars in the startup space. \nThis event is open to all Columbia University\, Florida Atlantic University\, Lehman College\, and Rutgers University Students.
URL:https://cs3-erc.org/event/cs3-industry-speaker-series-dr-patrick-alrassy/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2025/10/Flyer-for-Nov-10-Event.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251030T113000
DTEND;TZID=America/New_York:20251030T123000
DTSTAMP:20260422T144704
CREATED:20251027T154530Z
LAST-MODIFIED:20251027T154530Z
UID:5507-1761823800-1761827400@cs3-erc.org
SUMMARY:SLC Monthly Meeting October 2025
DESCRIPTION:Monthly meeting for the CS3 Student Leadership Council (SLC). \nThis is a CS3 internal meeting.
URL:https://cs3-erc.org/event/slc-monthly-meeting-october-2025/
LOCATION:Zoom
CATEGORIES:SLC
ATTACH;FMTTYPE=image/jpeg:https://cs3-erc.org/wp-content/uploads/2025/10/SLC-24-25-GROUP-1-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250328T120000
DTEND;TZID=America/New_York:20250328T130000
DTSTAMP:20260422T144704
CREATED:20241211T171614Z
LAST-MODIFIED:20250320T184328Z
UID:4235-1743163200-1743166800@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the CS3 Monthly Research Exchange! At each CS3 Monthly Research Exchange\, we hear from researchers about their latest findings on the future of smart city technology. Attendees will have the opportunity to engage with other CS3 students and faculty at partner institutions\, provide feedback to the student presenters\, and collaborate on future research. \nLunch will be provided. Presenters to be announced. \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-12/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/3.28.25-TBA-CS3-Monthly-Research-Exchange-e1742496186922.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250221T120000
DTEND;TZID=America/New_York:20250221T130000
DTSTAMP:20260422T144704
CREATED:20241211T171355Z
LAST-MODIFIED:20241211T171355Z
UID:4232-1740139200-1740142800@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the CS3 Monthly Research Exchange! At each CS3 Monthly Research Exchange\, we hear from researchers about their latest findings on the future of smart city technology. Attendees will have the opportunity to engage with other CS3 students and faculty at partner institutions\, provide feedback to the student presenters\, and collaborate on future research. \nLunch will be provided. Presenters to be announced. \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-11/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/2.21.25-TBA-CS3-Monthly-Research-Exchange-e1733937223365.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250117T120000
DTEND;TZID=America/New_York:20250117T130000
DTSTAMP:20260422T144704
CREATED:20241211T171034Z
LAST-MODIFIED:20241211T171034Z
UID:4223-1737115200-1737118800@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the CS3 Monthly Research Exchange! At each CS3 Monthly Research Exchange\, we hear from researchers about their latest findings on the future of smart city technology. Attendees will have the opportunity to engage with other CS3 students and faculty at partner institutions\, provide feedback to the student presenters\, and collaborate on future research. \nLunch will be provided. Presenters to be announced. \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-10/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/1.15.25-TBA-CS3-Monthly-Research-Exchange-1-e1733937005785.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T120000
DTEND;TZID=America/New_York:20241115T130000
DTSTAMP:20260422T144704
CREATED:20241211T164146Z
LAST-MODIFIED:20241211T164146Z
UID:4212-1731672000-1731675600@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the CS3 Monthly Research Exchange! At each CS3 Monthly Research Exchange\, we hear from researchers about their latest findings on the future of smart city technology. Attendees will have the opportunity to engage with other CS3 students and faculty at partner institutions\, provide feedback to the student presenters\, and collaborate on future research. \nLunch will be provided. \nStudent Presenters:\nEge Ozguroglu\nPhD Student\, Columbia University\nResearch Thrust 2: Situational Awareness \n\nAbstract: We introduce pix2gestalt\, a framework for zero-shot amodal segmentation\, which learns to estimate the shape and appearance of whole objects that are only partially visible behind occlusions. By capitalizing on large-scale diffusion models and transferring their representations to this task\, we learn a conditional diffusion model for reconstructing whole objects in challenging zero-shot cases\, including examples that break natural and physical priors\, such as art. As training data\, we use a synthetically curated dataset containing occluded objects paired with their whole counterparts. Experiments show that our approach outperforms supervised baselines on established benchmarks. Our model can furthermore be used to significantly improve the performance of existing object recognition and 3D reconstruction methods in the presence of occlusions.\n\nPierre Tholoniat\nPhD Student\, Columbia University\nResearch Thrust 3: Privacy\, Security\, and Fairness \n\nAbstract: As major browsers phase out third-party cookies\, emerging advertising APIs offer an opportunity to improve web privacy. We first present Cookie Monster (published at ACM SOSP ’24)\, a system that enhances existing advertising measurement APIs from major tech companies with more efficient differential privacy (DP) budgeting. By using an individual form of DP\, our approach enables more accurate private measurement queries compared to traditional DP implementations. Cookie Monster lays the foundations for on-device privacy-preserving systems\, with applications beyond advertising: in this talk\, we propose an analogy between web and smart city privacy\, and sketch how insights from our paper can help shape a robust privacy architecture for smart cities.\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-9/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/11.15.24-CS3-Monthly-Research-Exchange.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241018T120000
DTEND;TZID=America/New_York:20241018T133000
DTSTAMP:20260422T144704
CREATED:20241211T163912Z
LAST-MODIFIED:20241211T163912Z
UID:4204-1729252800-1729258200@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the CS3 Monthly Research Exchange! At each CS3 Monthly Research Exchange\, we hear from researchers about their latest findings on the future of smart city technology. Attendees will have the opportunity to engage with other CS3 students and faculty at partner institutions\, provide feedback to the student presenters\, and collaborate on future research. \nLunch will be provided. \nThis month we will learn about the societal impacts of smart streetscapes and how trust is established and maintained. They will present two approaches: bottom-up through community engagement and top-down through government and policy. Click October 2024 research exchange for the presenters’ bios and abstracts. \nPresentations will be followed by an information session on the CS3 VALIDATE Accelerator Program (learn more here). \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-8/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/10.18.24-CS3-Monthly-Research-Exchange.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240917T120000
DTEND;TZID=America/New_York:20240917T130000
DTSTAMP:20260422T144704
CREATED:20241211T163307Z
LAST-MODIFIED:20241211T163307Z
UID:4198-1726574400-1726578000@cs3-erc.org
SUMMARY:SLC Fall Welcome Session
DESCRIPTION:The Center for Smart Streetscapes (CS3) Student Leadership Council (SLC) presents the Fall Welcome Session! CS3’s mission is to forge livable\, safe\, and inclusive communities through real-time\, hyper-local streetscape applications built on advancements in edge-cloud technology\, wireless-optical engineering\, visual analytics\, computer security\, and social science. \nJoin us to learn about the unique opportunities available to students at CS3\, such as: \n\nUndergraduate and Graduate Research\nMentoring for Education Programs\nInternships and Industry Connections\nCommunity Engagement\nLeadership Development\n\nLunch will be provided. \nIn-Person Locations at CS3 Partner Institutions: \n\nColumbia University\nLehman College\nRutgers University\nFlorida Atlantic University\nUniversity of Central Florida
URL:https://cs3-erc.org/event/slc-fall-welcome-session/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/Spring-Welcome-Session-2024-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240419T120000
DTEND;TZID=America/New_York:20240419T130000
DTSTAMP:20260422T144704
CREATED:20241211T162741Z
LAST-MODIFIED:20241211T162741Z
UID:4194-1713528000-1713531600@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nJoseph Fioresi\, Ph.D. Student at the University of Central Florida \n\nJoe is a 2nd year Ph.D. student at the University of Central Florida (UCF) studying Computer Vision under Dr. Mubarak Shah. His main focus is on video understanding tasks\, with an emphasis on learning useful representations under privacy and fairness constraints. He currently serves as the UCF representative on the CS3 Student Leadership Council.\nPresentation Abstract: Exploring various forms of bias and privacy concerns in video-level computer vision tasks\, proposing methods to reduce the problematic biases and private information usage.\n\nCaspar Lant\, Ph.D. Student at Columbia University \n\nCaspar is a second-year PhD student at CS3 under PI Henning Schulzrinne. Before coming to Columbia\, Caspar was a Fulbright fellow in Taiwan working on distributed environmental sensor systems. Caspar’s research interests include urban data\, machine learning\, and networking.\nPresentation Abstract: As the roadway becomes increasingly networked with the emergence of autonomous and electric vehicles\, intersection scheduling will move from study-based estimates of traffic conditions to real-time queuing problems with complete information. So far\, pedestrians (lacking built-in network hardware of their own) are excluded from this development. Caspar will present a transformer-based approach to predicting pedestrian behavior at intersections using GPS data.\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-7/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/4.19.24-CS3-Monthly-Research-Exchange-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240322T120000
DTEND;TZID=America/New_York:20240322T130000
DTSTAMP:20260422T144704
CREATED:20241211T162520Z
LAST-MODIFIED:20241211T162520Z
UID:4188-1711108800-1711112400@cs3-erc.org
SUMMARY:CS3 Monthly Research Exchange
DESCRIPTION:At each CS3 Monthly Research Exchange\, faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings\, breakthroughs\, and urban projects. \nGaurav Jain\, Ph.D. Student at Columbia University \n\nGaurav Jain is a Ph.D. candidate in the computer science department at Columbia University\, advised by Prof. Brian A. Smith in the Computer-Enabled Abilities Lab (CEAL). His research lies at the intersection of Human-Computer Interaction\, Computer Vision\, and Accessibility. Gaurav’s work focuses on developing AI-driven interactive systems that augment blind and low-vision people’s access to visual experiences. He has developed systems that embed AI within street intersections for independent and safe outdoor navigation for blind pedestrians. Gaurav’s work also introduces new approaches for navigation assistance\, studying how technology can enable blind people to explore unfamiliar environments. Additionally\, he has contributed to digital media accessibility\, developing systems that generate audio representations for sports broadcasts\, enabling blind viewers to visualize the action by themselves.\nPresentation Abstract: Leveraging street cameras to support precise outdoor navigation for blind pedestrians.\n\nAlon S. Levin\, Ph.D. Student at Columbia University \n\nAlon S. Levin received a B.Eng. in Electrical Engineering (magna cum laude) in 2020 and a M.Eng. in Electrical Engineering in 2021\, both from The Cooper Union. His research interests are in full-duplex wireless\, compressed sensing\, PHY layer algorithms\, and cognitive radio.\nPresentation Abstract: We present a set of experiments utilizing wideband real-time adaptive full-duplex (FD) radios\, demonstrating simultaneous transmission and reception on the same frequency channel. Each FD radio consists of a paired antenna interface\, a switched-capacitor delay-line-based configurable Radio-Frequency Integrated Circuit (RFIC) that implements Self-Interference Cancellation (SIC)\, an FPGA that optimizes the RFIC configuration in under 1.1 seconds and can adapt to environmental changes in under 0.3 seconds\, and a Software-Defined Radio (SDR) transmitting OFDM-like packets. We demonstrate a real-time adaptive FD radio that achieves the SIC necessary to reach the noise floor across a wide bandwidth of 100 MHz\, enabling a FD wireless communication link.\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-6/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/3.22.24-CS3-Monthly-Research-Exchange.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240216T120000
DTEND;TZID=America/New_York:20240216T130000
DTSTAMP:20260422T144704
CREATED:20241211T162126Z
LAST-MODIFIED:20241211T162126Z
UID:4174-1708084800-1708088400@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. \nSevin Mohammadi\, Ph.D. Student at Columbia University \n\nPresentation Abstract: Sevin will present her ongoing and completed research\, which converges to enhance urban mobility and operation by leveraging data and advanced machine learning techniques. The main focus of her presentation will be enhancing Emergency Medical Services response in urban environments through data-informed decision-making and policy optimization.\n\nAdditional presenters to be announced. \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-5/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/2.16.23-TBA-CS3-Monthly-Research-Exchange-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240129T120000
DTEND;TZID=America/New_York:20240129T130000
DTSTAMP:20260422T144704
CREATED:20241210T233131Z
LAST-MODIFIED:20241210T233131Z
UID:4164-1706529600-1706533200@cs3-erc.org
SUMMARY:CS3 Spring Welcome Session
DESCRIPTION:The Center for Smart Streetscapes (CS3) presents the Spring Welcome Session! We will be introducing the engineering research center’s goals and discussing the unique opportunity to engage with the Center for Smart Streetscapes\, its Student Leadership Council\, and upcoming events for the year. Lunch will be provided. \n\nStudents of all majors are welcome\nFaculty & Staff are encouraged to join\n\nIn-Person Locations: \n\nColumbia University\nLehman College\nFlorida Atlantic University\nUniversity of Central Florida
URL:https://cs3-erc.org/event/cs3-spring-welcome-session/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/Spring-Welcome-Session-2024-4.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231117T120000
DTEND;TZID=America/New_York:20231117T130000
DTSTAMP:20260422T144704
CREATED:20241210T232729Z
LAST-MODIFIED:20241210T232729Z
UID:4161-1700222400-1700226000@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. \nAriana Galindo\, Undergraduate Student at Florida Atlantic University \n\nPresentation Abstract: This project investigates the development of scalable data processing tools for large-scale spatiotemporal data.\n\nDimitris A. Pados\, Professor and I-SENSE Fellow at Florida Atlantic University \n\nPresentation Abstract: We examine the problem of dynamically optimizing arbitrary multiple-input multiple-output (MIMO) wireless waveforms in potentially heavily utilized frequency bands with applications to near-field (or far-field) autonomous machine-to-machine communications. We look at the problem from the point of view of spectrum sharing and autonomous interference avoidance. In this context\, we seek the transmitter beam weight vector and the pulse code sequence that maximize the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum SINR joint space-time receiver filter. We derive two novel model-based solutions: (a) Disjoint\, space first (transmit weight vector) then time (pulse code sequence) waveform optimization and (b) jointly optimal transmit weight vector and pulse code sequence optimization (a mixed integer programming problem.) The proposed formally derived algorithmic solutions are studied in extensive simulations under varying waveform code length\, near-field/far-field and spread-spectrum/non-spread-spectrum interference\, in light and dense interference scenarios. The findings highlight (a) the effectiveness of the described methods compared to static conventionally designed optimal-receiver MIMO links and (b) the remarkable ability of the joint space-time optimized waveforms to avoid heavy interference.\n\nNavid Salami Pargoo\, Ph.D. Student at Rutgers University \n\nPresentation Abstract: In this talk\, join me on a journey into transformative assistive technologies for the visually impaired\, crafting a synergy between interactive AI agents and the smart streetscape. Discover our innovative strides in machine learning\, deep learning\, computer vision\, and sensing\, forming the heartbeat of this human-centric AI agent. I will show how they harmoniously integrate into streetscapes\, enhancing safety\, inclusivity\, and enriched urban interactions.\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-4/
LOCATION:Hybrid
CATEGORIES:SLC
ATTACH;FMTTYPE=image/png:https://cs3-erc.org/wp-content/uploads/2024/12/11.17.23-CS3-Monthly-Research-Exchange.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231020T120000
DTEND;TZID=America/New_York:20231020T133000
DTSTAMP:20260422T144704
CREATED:20241210T232442Z
LAST-MODIFIED:20241210T232442Z
UID:4158-1697803200-1697808600@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. \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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T130000
DTEND;TZID=America/New_York:20230922T140000
DTSTAMP:20260422T144704
CREATED:20230906T230159Z
LAST-MODIFIED:20241210T231939Z
UID:870-1695387600-1695391200@cs3-erc.org
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230915T120000
DTEND;TZID=America/New_York:20230915T130000
DTSTAMP:20260422T144704
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230818T120000
DTEND;TZID=UTC:20230818T130000
DTSTAMP:20260422T144704
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
END:VEVENT
END:VCALENDAR