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DTSTART;TZID=America/New_York:20231108T160000
DTEND;TZID=America/New_York:20231108T170000
DTSTAMP:20260429T190630
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/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231027T120000
DTEND;TZID=America/New_York:20231027T130000
DTSTAMP:20260429T190630
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/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231020T120000
DTEND;TZID=America/New_York:20231020T130000
DTSTAMP:20260429T190630
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/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231013T113000
DTEND;TZID=America/New_York:20231013T123000
DTSTAMP:20260429T190630
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/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T170000
DTEND;TZID=America/New_York:20230914T180000
DTSTAMP:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190630
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:20260429T190631
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:20260429T190631
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:20260429T190631
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:20260429T190631
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:20260429T190631
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220912T100000
DTEND;TZID=America/New_York:20220912T110000
DTSTAMP:20260429T190631
CREATED:20220812T142056Z
LAST-MODIFIED:20220907T193723Z
UID:77541-1662976800-1662980400@c2smart.engineering.nyu.edu
SUMMARY:Data & Driving: Mobileye on Urban Mobility
DESCRIPTION:SPEAKER \n \nWith over 25 years in deploying in deploying new technologies and innovative solutions with Fortune 500\, government and academic research clients\, Mark Davis currently leads Mobileye’s North American Data Services business. \nMark has led the introduction of several platform technologies in areas ranging from climate change research to commercial risk management to industrial process control solutions. With a long background in remote sensing and geospatial analytics — Mark draws from his experience to address some of the transportation sector’s biggest safety & operational challenges. \nMobileye is partnering with key DOTs\, MTAs and transportation-sector service providers & researchers to help deliver a positive impact for society in terms of roadway planning\, safety\, mobility & equity. \nMark has held senior executive positions at top VC backed start-ups (Aeryon\, Airware and Picarro) to multi-billion giants (Intel Corporation and Danaher). Mark holds a Master of Science\, Management of Technology degree from Georgia Institute of Technology.\nSTUDENT MODERATOR \n \nZilin Bian  is a Ph.D candidate in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University. He received a master’s degree from the University of Florida. He is currently working as a graduate research assistant at NYU while pursuing his doctoral degree. Bian’s research interests include applications of machine learning and artificial intelligence in traffic incident management\, transportation data and mobility modeling / prediction. \n 
URL:https://c2smart.engineering.nyu.edu/event/data-driving-mobileye-on-urban-mobility/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Shared & Micromobility,Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220422T130000
DTEND;TZID=America/New_York:20220422T140000
DTSTAMP:20260429T190631
CREATED:20220217T151101Z
LAST-MODIFIED:20220415T204432Z
UID:73310-1650632400-1650636000@c2smart.engineering.nyu.edu
SUMMARY:Getting Started with Android Development
DESCRIPTION:Instructor: Matthew Maggio\, Software Engineer \nHands-on exercise: Yes \nLevel: No prior experience required. \nSchedule:  April 22\, 2022 | 1:00 PM – 2:00 PM ET \nMobile development can seem overwhelming at first\, however Google’s Android platform offers a learning experience tutored toward beginners as well as a plethora of examples to get started. In this course\, we will look at the basics of Android Studio and review the fundamentals of the Android environment to create a simple Android application. \nRSVP here.
URL:https://c2smart.engineering.nyu.edu/event/getting-started-with-android-development/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220330T120000
DTEND;TZID=America/New_York:20220330T140000
DTSTAMP:20260429T190631
CREATED:20220316T165232Z
LAST-MODIFIED:20220316T165413Z
UID:74805-1648641600-1648648800@c2smart.engineering.nyu.edu
SUMMARY:ITE Met Section 2022 Virtual Career Fair and Speed Networking
DESCRIPTION:The ITE Met Section is hosting a Virtual Career Fair event on Wednesday\, March 30th at 12pm to 2pm. There will be a dozen tables open for speed networking\, plus 10+ companies and organizations. The event will be hosted on virtual platform Gather.town\, so please have your cameras on and be dressed to interview with some of the transportation engineering industry’s top employers in the New York metro area. All are welcome to attend\, from jobseekers to transportation professionals looking to network with colleagues in the field. ITE members and non-ITE members looking to socialize with other members are encouraged to attend. All individual participants and firm representatives should register with a free ticket. Firms and agencies requesting a virtual career fair booth are also asked to register using the paid tickets below ($75 or $30 per booth depending on organization type). As in years past\, this payment will be used to supplement existing funds set aside for the Pignataro student scholarship award and the new DEI scholarship award. \nVirtual Speed Networking: from 12pm to 1pm\, participants will be encouraged to circulate every five minutes amongst virtual tables for a stimulating conversation. Each virtual table will have an informal mentor stationed at the table to kick off and lead the discussion. There are 8 rounds of speed networking planned for participants\, and participants are encouraged to approach mentors and other participants after the speed networking rounds conclude for additional informal networking. If you are an ITE member interested in informal mentoring (being stationed at a virtual table)\, please select the checkbox when registering for the event\, and ITE will follow up with you with additional information. \nVirtual Career Fair: There will be 10+ companies attending the virtual career fair at their branded virtual booths. Attendees should please keep your cameras and microphones on and be ready and dressed for interviews. Companies have been encouraged to provide videos\, resume drop-off links\, job descriptions for open positions\, and other materials for their virtual booths. Each company will also be encouraged to send company representatives to speak over video with attendees (company representatives please register separately with an attendee ticket to receive the link to the virtual Gather space). There are also several private virtual spaces provided for private conversations. If your company is interested in a virtual booth\, please register for a booth using the career fair booth ticket registration below.
URL:https://c2smart.engineering.nyu.edu/event/ite-met-section-2022-virtual-career-fair-and-speed-networking/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="ITE Met Section":MAILTO:webmaster@ite-metsection.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220304T140000
DTEND;TZID=America/New_York:20220304T150000
DTSTAMP:20260429T190631
CREATED:20220217T151150Z
LAST-MODIFIED:20220217T212946Z
UID:73303-1646402400-1646406000@c2smart.engineering.nyu.edu
SUMMARY:Build Your First Interactive Data Dashboard Using Dash Plotly
DESCRIPTION:Instructor: Murat Barlas\, New York UniversityHands-on exercise: YesLevel: No prior experience required\, but knowledge of Python is preferred.Schedule: March 4\, 2022 | 2:00 PM – 3:00 PM ET \nThis course is for students who want to learn about interactive data visualization. Students will learn the basics of creating an interactive data dashboard using Python. Data cleaning and formatting methods will be introduced using the pandas and NumPy libraries. Students will learn through examples of how to create a dashboard using a sample dataset using Dash Plotly. \nRSVP here.
URL:https://c2smart.engineering.nyu.edu/event/build-your-first-interactive-data-dashboard-using-dash-plotly/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T140000
DTEND;TZID=America/New_York:20220225T150000
DTSTAMP:20260429T190631
CREATED:20220217T144154Z
LAST-MODIFIED:20220217T212946Z
UID:73300-1645797600-1645801200@c2smart.engineering.nyu.edu
SUMMARY:Hands-On Tutorials for Amazon Web Services (AWS)
DESCRIPTION:Instructor: Yubin Shen\, Research EngineerHands-on exercise: YesBeginner level: No prior experience required.Schedule: February 25\, 2022 | 2:00 PM – 3:00 PM ET \nThis course will go through the most popular Amazon Web Services (AWS) with two small projects: 1) build a static website using AWS Simple Storage Service (S3)\, and 2) build a WordPress website using AWS Elastic Computing (EC2) and Relational Database Service (RDS). \nRSVP here. \n \n 
URL:https://c2smart.engineering.nyu.edu/event/hands-on-tutorials-for-amazon-web-services-aws/
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211118T120000
DTEND;TZID=America/New_York:20211118T130000
DTSTAMP:20260429T190631
CREATED:20211026T171524Z
LAST-MODIFIED:20211118T192957Z
UID:69599-1637236800-1637240400@c2smart.engineering.nyu.edu
SUMMARY:Cycle Speak with Laura Fox: Citi Bike & Urban Mobility
DESCRIPTION:  \n  \nWhat’s the Chatter? is a new series from C2SMART which brings transportation students into conversation with some of today’s leading mobility companies to discuss innovation\, disruption\, and possibility in today’s smart cities. In this installment\, we will be joined by Laura Fox\, General Manager at Lyft’s CitiBike program\, to discuss the role of shared mobility systems\, from bikes to taxis\, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft’s micromobility programming\, and discuss bike safety with C2SMART student Suzana Duran Bernardes\, followed by an audience Q&A. \nEVENT RECORDING \n \nSPEAKER \nLaura Fox is Lyft’s General Manager for Citi Bike\, where she oversees strategy\, growth\, operations\, marketing\, new product launches\, and the local P&L – as well as community engagement and city partnerships. In recognition of her leadership in NYC\, she was named to City&State’s Transportation Power 100 and NYC’s Mayoral COVID recovery taskforce. Laura is also a professor of MBA strategy at NYU Stern School of Business. Prior to joining Lyft\, Laura worked for Sidewalk Labs\, an Alphabet company dedicated to building the city of the future through urban tech; worked at the Boston Consulting Group and led projects for urban mobility\, technology\, and cultural organizations; edited a book on bottom-up urban development and innovation (“Order Without Design” by Alain Bertaud); built a conversation game focused on deepening human connections; delivered a TED talk on the role of curiosity and ignorance in the creative process; created digital strategies and products in the Americas\, Middle East\, and Asia for social enterprises; and more. \nOutside of work\, Laura lives in Brooklyn – and is a startup mentor/advisor\, on the board of Governors Island and BCG’s alumni group\, and on the leadership committee of LISC and the Museum of Food and Drink (MOFAD). \nLaura holds a B.A. from the University of Notre Dame and an M.B.A. from New York University (NYU)\, Stern School of Business. Originally from Chicago\, Laura is most comfortable when she is uncomfortable\, and learning something new. \nSTUDENT MODERATOR \nSuzana Duran Bernardes is a Ph.D. student in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University Tandon School of Engineering. She completed her Master’s in Transportation Planning and Engineering in 2020 at New York University Tandon School of Engineering. Her Master project involved the development of a novel multi-sensor platform to collect naturalistic cycling data. Suzana focuses on leveraging non-motorized vehicles’ safety studies through new ways of collecting and analyzing data. Her research interests include traffic safety\, Intelligent Transportation Systems (ITS)\, and urban mobility.
URL:https://c2smart.engineering.nyu.edu/event/bus-stop-chatter-citi-bike-urban-mobility/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Shared & Micromobility,Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
END:VCALENDAR