BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//C2SMART Home - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:C2SMART Home
X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu
X-WR-CALDESC:Events for C2SMART Home
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T130000
DTEND;TZID=America/New_York:20241115T140000
DTSTAMP:20260429T113258
CREATED:20240912T211346Z
LAST-MODIFIED:20241114T221821Z
UID:86034-1731675600-1731679200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Causal Inference – Difference in Differences Regression and Its Application in Transportation Research
DESCRIPTION:Instructor: Yanchao Li\, New York University\nBeginner level: No prior experience required. \nSchedule: Friday\, Nov 15th\, 2024 1:00 PM – 2:00 PM\nDescription: In this course\, we will discuss the Difference-in-Differences (DiD) method\, a causal inference tool widely used across various research fields to estimate the impact of policy changes or other interventions while controlling for confounding factors. You will learn about its application in transportation research\, with a recent study evaluating the effectiveness of congestion policies as an example.
URL:https://c2smart.engineering.nyu.edu/event/slh-causal-inference-difference-in-differences-regression-and-its-application-in-transportation-research/
LOCATION:
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241108T130000
DTEND;TZID=America/New_York:20241108T140000
DTSTAMP:20260429T113258
CREATED:20241007T153043Z
LAST-MODIFIED:20241108T174728Z
UID:86128-1731070800-1731074400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Online Optimization Meets Urban Transportation
DESCRIPTION:Instructor: Tao Li\, New York University \nBeginner level: No prior experience required. Basic optimization knowledge would be helpful but not required. \nDescription: Urban transportation networks are complex and dynamic\, and as a result\, offline planning alone may not ensure effective real-time management. Therefore\, this course introduces online optimization methods with a focus on transportation applications. We’ll start with gradient descent in conventional convex optimization\, move to online gradient descent\, and briefly explore multi-agent online learning and associated equilibrium convergence. We’ll also discuss challenges in deploying online optimization in urban transportation.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-online-optimization-meets-urban-transportation/
LOCATION:NY
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241108T100000
DTEND;TZID=America/New_York:20241108T150000
DTSTAMP:20260429T113259
CREATED:20241023T192911Z
LAST-MODIFIED:20241023T192911Z
UID:86262-1731060000-1731078000@c2smart.engineering.nyu.edu
SUMMARY:STEM Day 2024!
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/stem-day-2024-2/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241026T093000
DTEND;TZID=America/New_York:20241026T170000
DTSTAMP:20260429T113259
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241023T130000
DTEND;TZID=America/New_York:20241023T140000
DTSTAMP:20260429T113259
CREATED:20240923T160308Z
LAST-MODIFIED:20241011T180642Z
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/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241011T130000
DTEND;TZID=America/New_York:20241011T140000
DTSTAMP:20260429T113259
CREATED:20240925T141023Z
LAST-MODIFIED:20241007T155409Z
UID:86094-1728651600-1728655200@c2smart.engineering.nyu.edu
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/
LOCATION:NY
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240917T123000
DTEND;TZID=America/New_York:20240917T140000
DTSTAMP:20260429T113259
CREATED:20240828T212057Z
LAST-MODIFIED:20240828T212057Z
UID:85950-1726576200-1726581600@c2smart.engineering.nyu.edu
SUMMARY:CUE Minors Info Session
DESCRIPTION:The Civil and Urban Engineering Department is hosting a Minor Preview event on Tuesday\, September 17th from 1230-2pm. This is a great opportunity for you to learn about the minors offered in our department that are available to all of you\, no matter what your major is! \nRegistration is required\, see link below.
URL:https://c2smart.engineering.nyu.edu/event/cue-minors-info-session/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T120000
DTEND;TZID=America/New_York:20240425T130000
DTSTAMP:20260429T113259
CREATED:20240223T161122Z
LAST-MODIFIED:20240417T195022Z
UID:83921-1714046400-1714050000@c2smart.engineering.nyu.edu
SUMMARY:SLH: Analyzing scope and limitations of using GeoAI Toolbox available in ArcGIS Pro/Online
DESCRIPTION:Instructor: Komal Gulati\, North Carolina A&T State University\nHands-on exercise: Yes\nBeginner level: Basic GIS and AI knowledge is preferred.\nSchedule: Thursday\, April 25th\, 1:00 pm -2:00 pm ET\nDescription: Geospatial Artificial Intelligence (GeoAI) offer transformative capabilities for handling and analyzing geospatial data. This course will introduce you to the essentials of GeoAI\, including its significance and range of applications\, followed by a detailed walkthrough of the ArcGIS Pro environment and the GeoAI Toolbox. You’ll gain hands-on experience in leveraging deep learning for geospatial analysis\, from preparing training datasets to executing model inferencing\, culminating in a practical exercise aimed at detecting infrastructure vulnerable to landslides in the island of Grenada.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-analyzing-scope-and-limitations-of-using-geoai-toolbox-available-in-arcgis-pro-online/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240418T120000
DTEND;TZID=America/New_York:20240418T130000
DTSTAMP:20260429T113259
CREATED:20240223T160956Z
LAST-MODIFIED:20240417T194928Z
UID:83916-1713441600-1713445200@c2smart.engineering.nyu.edu
SUMMARY:SLH: Building Interactive Maps with JavaScript\, HTML\, and CSS
DESCRIPTION:Instructor: Hannah Bonestroo\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required. Basic website development knowledge is preferred.\nSchedule: Thursday\, April 18th\, 12:00 pm -1:00 pm ET\nDescription: In this one-hour course\, you will learn how to create a basic interactive online map using JavaScript\, HTML\, and CSS. These essential web development tools will allow you to showcase your research findings to a wider\, non-technical audience. While this course will only cover the very basics\, we will discuss how further mastering these tools can open up a world of opportunity for data visualization.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-building-interactive-maps-with-javascript-html-and-css/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240328T120000
DTEND;TZID=America/New_York:20240328T130000
DTSTAMP:20260429T113259
CREATED:20240223T160741Z
LAST-MODIFIED:20240417T190849Z
UID:83913-1711627200-1711630800@c2smart.engineering.nyu.edu
SUMMARY:SLH: Introduction to database systems and SQL
DESCRIPTION:Instructor: Ziyue Feng\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Thursday\, March 28th\, 12:00 pm -1:00 pm ET\nDescription: Databases have become indispensable in our daily lives. In this one-hour session\, we’ll cover the fundamental concepts of database systems and Structured Query Language (SQL). Additionally\, we are going to have a hands-on session with SQL to help you become familiar with data extraction techniques.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-introduction-to-database-systems-and-sql/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240221T153000
DTEND;TZID=America/New_York:20240221T163000
DTSTAMP:20260429T113259
CREATED:20240131T192821Z
LAST-MODIFIED:20240215T172230Z
UID:83025-1708529400-1708533000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Fireside Chat
DESCRIPTION:Chris is a transportation planning professional with over 10 years of experience in the industry. He has led both regional and statewide transportation planning efforts\, as well as managed several sub-area and corridor studies. In his role with AirSage\, Chris advises public agency and consulting clients on how to leverage mobile device and connected vehicle data for more informed decision-making. With a diverse portfolio in developing cutting-edge decision-support tools and data-driven methodologies\, he consistently champions innovative approaches to address complex transportation challenges. Chris holds a Bachelor’s degree in Environmental Studies and Economics\, complemented by a Master’s in Urban Planning from the University of Kansas.\n\n\n\nLight refreshments will be provided! If you cannot attend in person\, join via Zoom
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-fireside-chat/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T120000
DTEND;TZID=America/New_York:20231110T130000
DTSTAMP:20260429T113259
CREATED:20230927T163045Z
LAST-MODIFIED:20231106T201635Z
UID:80692-1699617600-1699621200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Essentials of Data Acquisition for Transportation Analysis
DESCRIPTION:Instructor: Vivian Otieno\, Texas Southern University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday November 10th\, 12-1pm\n\nDescription: Essentials of Data Acquisition for Transportation Analysis involves the collection\, processing\, and analysis of data about traffic patterns\, vehicle movements\, and other factors that can be useful in the transportation industry. This course will cover types of data acquisition systems\, the technologies used in data acquisition\, the advantages and disadvantages of data collection systems\, and how the collected data is used in the transportation industry to improve the system and make it better.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-essentials-of-data-acquisition-for-transportation-analysis/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231108T160000
DTEND;TZID=America/New_York:20231108T170000
DTSTAMP:20260429T113259
CREATED:20230920T195527Z
LAST-MODIFIED:20230927T162938Z
UID:80667-1699459200-1699462800@c2smart.engineering.nyu.edu
SUMMARY:Fireside Chat- From Classroom to Career: How Students Can Harness Experiential Learning for Future Success
DESCRIPTION:C2SMARTER’S Dr. Jingqin Gao will moderate a discussion with Prof. Gabriela Gongora-Svartzman from Carnegie Mellon University. \nIn this insightful fireside talk\, we explore the synergy between data-driven careers\, industry\, and education\, emphasizing the transformative power of data literacy in decision-making. Prof. Gongora-Svartzman will provide insights on maximizing the value of academic and experiential opportunities\, bridging the gap between education and real-world applications\, and offering guidance on post-graduation career transitions. Additionally\, Prof. Gongora-Svartzman will delve into the pivotal role of technologists in building public trust through technology in the public sector and promoting tech for social good. She will address the critical importance of ethical data analysis\, highlighting the role of data storytelling and visualization in projects. Join us to shape a future where data-driven professionals play a vital role in fostering positive societal impact. \nBIO \nProf. Gongora-Svartzman serves as an Assistant Teaching Professor for Heinz College of Information Systems and Public Policy\, Carnegie Mellon University\, where she teaches various courses\, including Exploratory Data Analysis and Visualization with Python\, Machine Learning Foundations with Python\, and Data Analytics with Tableau. She also holds the role of faculty advisor for capstone projects for various graduate programs. Before joining CMU\, she was an Adjunct Instructor at Stevens Institute of Technology’s Business Intelligence and Analytics Program and an Adjunct Associate Faculty at Columbia University’s Applied Analytics Program. Prof. Gongora-Svartzman’s research focuses on Urban Informatics\, Data Visualization for Decision Making\, and Resilience and Social Perception. Her work uniquely bridges technical service performance with human perceptions\, covering areas like disaster preparedness through social media analysis\, smart city service quality\, social equity movements\, transportation services\, and decarbonization strategies. She actively contributes to the field as a member of INFORMS\, leading sessions on diversity\, equity\, and inclusion and serving in various leadership roles. Beyond her academic pursuits\, she champions women in STEM\, diversity\, equity\, and inclusion in computing and mentors students in data competitions. She has also served as chair of the Early Career Teachers Network (ECTN 2021 and 2022)\, Secretary for Women in OR/MS (2021)\, current VP of Communications for Women in OR/MS (2022) and has been a mentor for the Women in OR/MS Mentorship program for 2019-2021.
URL:https://c2smart.engineering.nyu.edu/event/from-classroom-to-career-how-students-can-harness-experiential-learning-for-future-success/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231027T120000
DTEND;TZID=America/New_York:20231027T130000
DTSTAMP:20260429T113259
CREATED:20230927T162816Z
LAST-MODIFIED:20231003T191918Z
UID:80688-1698408000-1698411600@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Solving Large-Scale Optimization Problems: A Practical Guide to High-Performance Computing (HPC) and Using C++ APIs for CPLEX
DESCRIPTION:Instructor: Yuhao Liu\, NYU Shanghai\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday Oct 27th\, 12-1pm\n\nDescription: This course is designed to equip the audience with the basic knowledge and skills necessary to navigate the world of high performance computing (HPC) and leverage IBM’s CPLEX optimization studio for tackling complex optimization challenges. In this course\, you will learn 1) how to run computation tasks on HPC clusters; 2) how to solve optimization problems using the C++ API of CPLEX; and 3) how to deploy and run CPLEX programs on HPC clusters for large-scale optimization models and/or parallel optimization algorithms.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-solving-large-scale-optimization-problems-a-practical-guide-to-high-performance-computing-hpc-and-using-c-apis-for-cplex/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231020T120000
DTEND;TZID=America/New_York:20231020T130000
DTSTAMP:20260429T113259
CREATED:20230927T162721Z
LAST-MODIFIED:20231003T194908Z
UID:80686-1697803200-1697806800@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Contextualising Cloud-based Geospatial Analytics Techniques
DESCRIPTION:Instructor: Vidisha Chowdhury\, University of Pennsylvania & Philippe Schicker\, Carnegie Mellon University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday October 20th\, 12-1 pm\n\nDescription: Google Earth Engine (GEE) and other cloud-based geospatial analysis platforms can be powerful tools for data scientists and researchers to analyze vast amounts of satellite imagery and geospatial data. In this one-hour introductory course\, we are going to provide you with a basic understanding of GEE\, contrast it to traditional geospatial techniques\, and highlight how GEE can be used for applications such as environmental monitoring\, land cover classification\, and more.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-contextualising-cloud-based-geospatial-analytics-techniques/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231013T113000
DTEND;TZID=America/New_York:20231013T123000
DTSTAMP:20260429T113259
CREATED:20230927T162550Z
LAST-MODIFIED:20231003T191652Z
UID:80684-1697196600-1697200200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Introduction to Neural Networks (NNs): How and When to Use Recurrent NNs and Convolution NNs
DESCRIPTION:Instructor: Haggai D. Davis\, III\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday Oct 13th\, 11:30am-12:30pm\nDescription: Machine learning is an incredibly broad term that encompasses a lot of different algorithms which can be applied to solve a variety of problems.  Neural networks are one category of ML algorithms which consist of layers of nodes (or neurons) which will activate to transmit information when certain thresholds are met. RNNs and CNNs are subclasses of neural networks whose differing structures allow for the analysis of different types of datasets\, usually things like time-series and pattern-recognition\, respectively.\n\n 
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-introduction-to-neural-networks-nns-how-and-when-to-use-recurrent-nns-and-convolution-nns/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T170000
DTEND;TZID=America/New_York:20230914T180000
DTSTAMP:20260429T113259
CREATED:20230830T201528Z
LAST-MODIFIED:20230830T201528Z
UID:80522-1694710800-1694714400@c2smart.engineering.nyu.edu
SUMMARY:Transportation & Urban Systems Fall 2023 Welcome Event
DESCRIPTION:C2SMARTER welcomes new and returning transportation students to the Fall 2023 academic year with a kick-off event. Learn about C2SMARTER\, meet the faculty\, and see the space. Come learn more about: \n\nMonthly research presentations taught by consortium members and industry partners\nPotential research opportunities\nTransportation courses offered this semester:\n\nForecasting Urban Travel Demand \nTraffic Operations & Control \nManagement of Transit Maintenance and Operations\nUrban Transportation & Logistics Systems\n\n\n\n 
URL:https://c2smart.engineering.nyu.edu/event/transportation-urban-systems-fall-2023-welcome-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T143000
DTEND;TZID=America/New_York:20230914T153000
DTSTAMP:20260429T113259
CREATED:20230912T185833Z
LAST-MODIFIED:20230912T185833Z
UID:80569-1694701800-1694705400@c2smart.engineering.nyu.edu
SUMMARY:ECE Seminar: Boundary Stabilization of Polynomial Reaction Diffusion Equations
DESCRIPTION:We show how to stabilize a polynomial reaction diffusion system using boundary control\, integration by parts\, completing the square and an infinite dimensional extension of Al’brekht’s method. \nPresented by Alfred J. Krener.
URL:https://c2smart.engineering.nyu.edu/event/ece-seminar-boundary-stabilization-of-polynomial-reaction-diffusion-equations/
LOCATION:370 Jay Street\, Room 1013\, 370 Jay Street\, Brooklyn
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230519T140000
DTEND;TZID=America/New_York:20230519T150000
DTSTAMP:20260429T113259
CREATED:20230503T170846Z
LAST-MODIFIED:20230504T194131Z
UID:79072-1684504800-1684508400@c2smart.engineering.nyu.edu
SUMMARY:Deep Neural Networks for Choice Analysis
DESCRIPTION:Individual choice has been an enduring question across disciplines. Deep neural networks (DNNs) have demonstrated their high predictive power over the classical discrete choice models (DCMs) in many empirical studies. However\, DNNs as a new modeling paradigm still present pressing challenges in interpretation\, generalization\, and robustness. This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision. It demonstrates that the DNNs can provide economic information as complete as classical DCMs\, including choice predictions\, choice probabilities\, market shares\, substitution patterns of alternatives\, social welfare\, heterogeneous values of time\, among many others\, thus partially resolving the interpretation challenge. It introduces how to use the prior behavioral knowledge to design a particular DNN architecture with alternative-specific utility functions\, which improves the generalizability of DNNs with a domain-knowledge-based regularization method. It then extends the framework to deep hybrid models\, which integrates classical numerical data and the unstructured data (i.e.\, imagery and graphs) to analyze travel behavior. Overall\, this presentation lays out a new foundation of using DNNs to analyze travel demand\, enhancing economic interpretation\, architectural design\, and robustness of deep learning through classical utility theory. \n\n\nSPEAKER \nShenhao Wang is an assistant professor and the director of the Urban Artificial Intelligence Laboratory at the University of Florida. He is also a research affiliate to Urban Mobility Lab and Media Lab at the Massachusetts Institute of Technology. He seeks to develop fundamental theory for urban science using artificial intelligence. He develops deep choice models\, which analyze individual decision-making by integrating discrete choice models and deep learning with applications to urban travel behavioral analysis. He also analyzes collective mobility networks by integrating classical network theory and graph neural networks to quantify risk and uncertainty\, thus promoting resilient economic growth. Dr. Wang completed his interdisciplinary Ph.D. in Computer and Urban Science at Massachusetts Institute of Technology in 2020. He received B.A. in Economics from Peking University (2014) and B.A. in architecture and law from Tsinghua University (2011)\, Master of Science in Transportation\, and Master of City Planning from MIT (2017).
URL:https://c2smart.engineering.nyu.edu/event/deep-neural-networks-for-choice-analysis/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Big Data & Planning for Smart Cities,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230428T110000
DTEND;TZID=America/New_York:20230428T120000
DTSTAMP:20260429T113259
CREATED:20230307T165118Z
LAST-MODIFIED:20230307T165154Z
UID:78904-1682679600-1682683200@c2smart.engineering.nyu.edu
SUMMARY:Python for GIS: An Introduction to OSMnx
DESCRIPTION:Instructor: Shajnush Amir\, North South University & University of Twente\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday April 28\, 11:00am-12:00pm\nDescription: In this course\, you will learn how to harness the power of OSMnx\, a Python library for extracting and visualizing Open Street Maps data. Through hands-on exercises\, you will gain practical experience in using OSMnx to model and simulate projects and have a solid understanding of this Python library and be able to apply OSMnx to real-world problems.
URL:https://c2smart.engineering.nyu.edu/event/python-for-gis-an-introduction-to-osmnx/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230414T100000
DTEND;TZID=America/New_York:20230414T110000
DTSTAMP:20260429T113259
CREATED:20230307T164243Z
LAST-MODIFIED:20230307T164658Z
UID:78896-1681466400-1681470000@c2smart.engineering.nyu.edu
SUMMARY:Stairway Towards Systematic Review: Utilizing Rayyan Software & PRISMA Guidelines
DESCRIPTION:Instructor: Samiha Tasnim\, North South University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday April 14\, 10:00am-11:00am\nDescription: Rayyan is a free web tool that aims to help researchers work on systematic reviews by accelerating the process of screening and selecting articles. Besides\, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist is an extensively used tool for reporting systematic reviews\, which strives to create transparent\, credible\, and reliable research results. This course intends to cover the fundamentals of using Rayyan and PRISMA\, why\, and how to utilize them to kickstart your pathway toward research.
URL:https://c2smart.engineering.nyu.edu/event/stairway-towards-systematic-review-utilizing-rayyan-software-prisma-guidelines/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230331T130000
DTEND;TZID=America/New_York:20230331T140000
DTSTAMP:20260429T113259
CREATED:20230228T185359Z
LAST-MODIFIED:20230307T210858Z
UID:78857-1680267600-1680271200@c2smart.engineering.nyu.edu
SUMMARY:Unleash Your Creativity with Unity 3D Simulation and Transportation Network Modeling
DESCRIPTION:Instructor: Lukelo Thadei Luoga\, New York University Abu Dhabi\nSchedule: Friday March 31\, 1:00-2:00pm\nDescription: In this hands-on course\, you’ll learn how to use Unity 3D to build 3D models of road networks. You’ll start with the basics of Unity 3D\, including its interface\, GameObjects\, components\, and scripting. From there\, you’ll dive into building 3D models of road networks\, covering elements such as roads\, buildings\, and terrain.
URL:https://c2smart.engineering.nyu.edu/event/unleash-your-creativity-with-unity-3d-simulation-and-transportation-network-modeling/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230328T180000
DTEND;TZID=America/New_York:20230328T190000
DTSTAMP:20260429T113259
CREATED:20230318T004157Z
LAST-MODIFIED:20230324T202028Z
UID:78941-1680026400-1680030000@c2smart.engineering.nyu.edu
SUMMARY:5th Women in Transportation Panel Discussion and Networking Event
DESCRIPTION:The C2SMART Center and the NYU chapter of the Institute of Transportation Engineers (ITE) are excited to host our annual Women in Transportation Panel Discussion\, including an opportunity for attendees to network and socialize. This year’s panel boasts three amazing women working in the transportation industry who will share their perspectives and experiences. \nThis event is a one-hour evening event in a panel format with women from within the industry and agencies with professional experience in the engineering and planning field\, to help engage the female students and empower them to pursue their career goals. They will discuss gender challenges in the engineering/ planning field\, give advice for overcoming those challenges\, and tips for future transportation engineers/planners. The event will conclude with a 10-minute Q&A and an opportunity for the students to network with the panelists. Pizza and refreshments will be provided. \nPLEASE NOTE: this will be a hybrid event\, and all attendees are welcome to come in-person. However\, ALL attendees must register via Zoom\, regardless of whether they are attending in person\, in order to receive building access. \nPANELISTS \nNadereh Moini is the Chief of Transportation at the New Jersey Sports and Exposition Authority (NJSEA) Formerly Known as New Jersey Meadowlands Commission. She has diverse scholar and field experiences in planning\, design\, safety\, operation\, maintenance\, and assessment of multimodal transportation systems and the application of the state-of-the-art technologies in transportation. In her current capacity\, she is managing more than 125 adaptive signalized intersections throughout the Meadowlands District. She is also responsible to develop “Meadowlands District Transportation Plan” and the first “Meadowlands Action Plan for Safety”\, which is newly funded by USDOT. \nShe holds Ph.D. in Civil & Environment Engineering. She is a licensed Professional Engineer in the states of NY and NJ. She is also a registered Professional Traffic Operation Engineer (PTOE) and Professional Transportation Planner (PTP). Additionally\, she has International Municipal Signal Association –IMSA Level I Certification. \nHaley Hutson is a Traffic Engineer at AKRF\, Inc. Haley started her career in Texas after graduating from the University of Texas and has spent the past two years working in New York. She specializes in adaptive traffic signal controls\, traffic modeling\, and roadway design. She is the Vice Chair for the ITE Urban Goods Committee and a co-chair of the ITE Met Section Young Member Committee. When her engineering hat isn’t on she is a Senior Disaster Responder volunteer for the Red Cross. \nMira Philipson is Senior Analyst for MTA’s Accessibility team in the Office of the Chair. In her four and a half years working to improve accessibility across the MTA\, she has researched and piloted new solutions\, technological and otherwise\, for people with disabilities and all customers. She has managed pilot projects including the Accessible Station Lab and Transit Innovation Partnership’s Transit Tech Lab Accessibility Challenge to discover smartphone wayfinding applications and other physical wayfinding solutions in subway stations and along bus routes. She also collaborates internally to ensure all MTA content\, public-facing and employee-facing\, is accessible. Her role also includes maintaining relationships and conducting outreach with members of the disability community in New York\, as well as collaboration with accessibility professionals at public transportation agencies across the country and world to information and experience-share. \nMira graduated from Barnard College with a Bachelor of Arts degree in Urban Planning with a Concentration in Sociology. She completed her senior thesis on the history of the Second Avenue Subway after spending time studying European urban transportation in Copenhagen\, Denmark. She is passionate about making cities\, and specifically transportation infrastructure\, more accessible to underserved populations.
URL:https://c2smart.engineering.nyu.edu/event/5th-women-in-transportation-panel-discussion-and-networking/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230324T120000
DTEND;TZID=America/New_York:20230324T130000
DTSTAMP:20260429T113259
CREATED:20230228T185239Z
LAST-MODIFIED:20230228T200855Z
UID:78855-1679659200-1679662800@c2smart.engineering.nyu.edu
SUMMARY:Unlock the Power of Graph Neural Networks: Understanding the Fundamentals and Knowing When to Implement
DESCRIPTION:Instructor: Zilin Bian\, New York University\nSchedule: Friday March 24\, 12:00pm-1:00pm\nDescription: Graph Neural Networks (GNNs) are a powerful tool for analyzing and processing graph-structured data. This course covers the basics of GNNs\, including graph convolutional networks\, graph attention networks and graph wavelet networks\, including how they work and how to implement them. The session aims to provide a solid understanding of GNN modeling for machine learning practitioners\, data scientists\, and anyone interested in AI advancements.
URL:https://c2smart.engineering.nyu.edu/event/unlock-the-power-of-graph-neural-networks-understanding-the-fundamentals-and-knowing-when-to-implement/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230310T110000
DTEND;TZID=America/New_York:20230310T120000
DTSTAMP:20260429T113259
CREATED:20230228T185039Z
LAST-MODIFIED:20230228T200629Z
UID:78851-1678446000-1678449600@c2smart.engineering.nyu.edu
SUMMARY:Chatting with ChatGPT: Exploring the Advancements in AI Language Models
DESCRIPTION:Instructor: Fan Zuo\, New York University\nSchedule: Friday March 10\, 11:00am-12:00pm\nDescription:  In this course\, you will learn about ChatGPT\, a state-of-the-art language model developed by OpenAI. You will gain an understanding of how ChatGPT works and how it can be used to generate human-like text\, answer questions\, and perform various natural language processing tasks. Through hands-on activities and live demos\, you will also get to apply ChatGPT to real-world problems and understand its advantages as well as limitations. Whether you are a student\, developer\, or researcher\, this course will provide you with a solid foundation in the exciting field of AI and natural language processing. (Yes\, this is written by ChatGPT!)
URL:https://c2smart.engineering.nyu.edu/event/chatting-with-chatgpt-exploring-the-advancements-in-ai-language-models/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T130000
DTEND;TZID=America/New_York:20221111T140000
DTSTAMP:20260429T113259
CREATED:20221008T150913Z
LAST-MODIFIED:20221103T142233Z
UID:78093-1668171600-1668175200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Machine learning and Deep learning approaches in bridge degradation modeling and forecasting
DESCRIPTION:Instructor: Zhanhang Li\, Rutgers University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday\, November 11\, 2022\, 1:00pm – 2:00pm\nDescription: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study\, students will learn about different types of neural networks\, their strengths\, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-machine-learning-and-deep-learning-approaches-in-bridge-degradation-modeling-and-forecasting/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T130000
DTEND;TZID=America/New_York:20221104T140000
DTSTAMP:20260429T113259
CREATED:20221007T201730Z
LAST-MODIFIED:20221008T150913Z
UID:78091-1667566800-1667570400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Everything you need to know about digital twins: Building a campus model
DESCRIPTION:Instructor: Talha Azfar\, Ph.D Candidate at UTEP\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Friday\, November 4\, 2022\, 1:00pm – 2:00pm\nDescription: Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications\, especially for simulation and visualization. This presentation will cover efficient and convenient procedures to create a 3D digital model of the UTEP campus along with the road network on the Unreal Engine project for CARLA\, a driving simulator. This can enable applications like computer vision\, traffic simulation\, and autonomous driving experimentation.  It can serve as a testbed for connected sensors and synchronized databases towards a complete digital twin.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-everything-you-need-to-know-about-digital-twins-building-a-campus-model/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T130000
DTEND;TZID=America/New_York:20221026T140000
DTSTAMP:20260429T113259
CREATED:20221007T201548Z
LAST-MODIFIED:20221008T150912Z
UID:78089-1666789200-1666792800@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Diving into open data - What is available and how to use them for transportation research
DESCRIPTION:Instructor: Hector Landes\, New York University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday October 26\, 2022\, 1:00pm – 2:00pm\nDescription: This course will be a general introduction to how to use open data for transportation projects. It will start with a short lecture to introduce open-data sources and software to use for data engineering with a focus on demographic\, traffic\, economic\, and safety data. The second part will be a tutorial on how to retrieve data from these sources\, how to clean them\, manipulate them\, and finally visualize them. Finally\, this course will also cover how to troubleshoot during data pre-processing and how to overcome an error in either the code or the data. Hands-on exercises on how to use Excel\, Tableau\, Jupyter Notebook\, and QGIS to process the data will be presented.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-diving-into-open-data-what-is-available-and-how-to-use-them-for-transportation-research/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221015
DTEND;VALUE=DATE:20221024
DTSTAMP:20260429T113259
CREATED:20220910T021710Z
LAST-MODIFIED:20220928T193427Z
UID:77455-1665792000-1666569599@c2smart.engineering.nyu.edu
SUMMARY:NYCDOT Smart Routing Hackathon
DESCRIPTION:Currently in NYC\, truckers and trucking companies are reliant on a static map to know where they should and should not go. When events like construction or a road accident require rerouting\, truck drivers are at a loss because existing navigation tools do not include truck route priorities\, elevation restrictions\, or turn restrictions\, truck tolls\, or other details specific to their needs. From Saturday\, October 15 through Sunday\, October 23\, C2SMART\, in partnership with NYCDOT\, will host a Hackathon to invite students to design a 3D visualizer which helps drivers understand where they are in their route\, and helps them navigate the complexities of the city. \nThe event is open to all graduate and undergraduate students in New York City. Folks in New York City are welcome to attend Opening Ceremonies in person through our partnership with Transportation Camp; all participants are welcome to participate virtually during the work period. Final submissions will be presented at 3:00pm on October 23\, followed by an hour of networking opportunities for students\, industry professionals\, and agencies. \nPrizes will be awarded to the top three submissions\, and the winner’s design may be adopted by NYCDOT — allowing the winner to directly impact transportation in New York City. \nRegister for TransportationCamp here. \nRegister for the closing ceremony Zoom here.
URL:https://c2smart.engineering.nyu.edu/event/nycdot-smart-routing-hackathon/
LOCATION:CUNY School of Law\, 2 Ct Square W\, Queens\, NY\, 11101\, United States
CATEGORIES:Big Data & Planning for Smart Cities,Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221012T170000
DTEND;TZID=America/New_York:20221012T180000
DTSTAMP:20260429T113259
CREATED:20220929T193114Z
LAST-MODIFIED:20221005T135127Z
UID:77904-1665594000-1665597600@c2smart.engineering.nyu.edu
SUMMARY:Where are they now? A catch-up with recent transportation engineering graduates as they start their new careers in industry\, government\, and academia
DESCRIPTION:From preparing for the final stretch of your degree to choosing your next steps after graduating\, navigating the job market and charting your career path can feel overwhelming. Join C2SMART alumni Diego Correa\, Di Yang\, and Srushti Rath\, as they talk about their journey in engineering and transportation and will answer questions from students about life after matriculation. \nSpeakers \nDr. Di Yang is a tenure track Assistant Professor in the Department of Transportation & Urban Infrastructure Studies at Morgan State University. His research focuses on developing novel statistical and data-driven methods at the intersection of transportation safety\, connected and autonomous vehicles\, human factors\, policy analysis\, and shared mobility. His research contributions have led to 27 publications in various journals and conferences\, featuring 11 first-author papers\, and recognized by the Institute of Transportation Engineers (ITE) Northeastern District Daniel B. Fambro Student Paper Award in 2021. He graduated with a Ph.D. in Transportation Engineering from New York University in 2022. \nDr. Srushti Rath is a research scientist at Amazon (in Amazon Transportation Services). She graduated from NYU Tandon School of Engineering in summer 2022 with a Ph.D. degree in Transportation Planning and Engineering. Her research was focused on developing data-driven decision support tools for large-scale strategic deployment of emerging mobility services. During her graduate studies at NYU\, she interned at Amazon working on freight recommender systems and at Uber Elevate focusing on air taxi infrastructure location optimization. Prior to joining NYU for her MS studies in 2018\, she worked as an assistant executive engineer in the housing and urban development department\, Government of Odisha (India)\, contributing toward the India’s flagship smart city program. She is the recipient of the S. David Ali Memorial scholarship awarded by the Women’s Transportation Seminar (WTS) Greater NY chapter for the year 2020. Her interest lies in leveraging operations research\, machine-learning\, and supply- demand modeling for designing sustainable\, data-driven\, and intelligent transportation solutions. \nDr. Diego Correa is an Associate Professor in the Department of Science and Technology at the University of Azuay\, and the General Director of Mobility of the City of Cuenca-Ecuador. His research focuses on emerging mobility services\, travel demand modeling\, and how big data\, technology\, and machine learning can address urban problems. Diego’s innovative approach to transport has been recognized by the Institute of Transportation Engineers ITE as the Dr. Louis J. Pignataro Memorial Transportation Education Awardee 2017\, by the Intelligent Transportation Society of America ITS-NJ as the Outstanding Graduate Student Awardee 2016\, by the National Operations Center of Excellence NOCoE\, as the TSMO Student Champion 2018\, by the Rudin Center for Transportation Policy and Management at NYU\, as an Emerging Leader in Transportation in 2018\, and lastly\, as part of the 2019 class of NYU’s Urban Doctoral Fellows.
URL:https://c2smart.engineering.nyu.edu/event/where-are-they-now-a-catch-up-with-recent-transportation-engineering-graduates-as-they-start-their-new-careers-in-industry-government-and-academia/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
END:VCALENDAR