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NYU Transportation Joint Campus Research Summit
2022-05-18 07:00 - 09:30 (America/New_York) | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
The 2022 NYU Transportation Joint Campus Research Summit seeks to bring together colleagues from New York City, Shanghai, and Abu Dhabi to exchange information and ideas from their current research, and to determine ways in which the three campuses can collaborate on transportation and mobility problems related to smart cities. This hybrid event will take place synchronously, in-person on each campus, connected to one another through Zoom.

Agenda

Speakers

Kaan M.A. Özbay joined Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) at NYU in August 2013. Since 2017, Ozbay has been the Founding Director of the C2SMART Center (Tier 1 UTC funded by USDOT). He is also Global Network Professor of Civil and Urban Engineering, NYU Abu Dhabi (NYUAD) and Global Network Professor of Engineering and Computer Science, NYU Shanghai (NYUSH). Ozbay was a tenured full Professor at the Rutgers University Department of Civil and Environmental Engineering. He joined Rutgers University as a tenure track Assistant Professor in July, 1996. In 2008, he was a visiting scholar at the Operations Research and Financial Engineering (ORFE) Department of Princeton University. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award.
Professor Ozbay served as the elected member of Board of Directors of the Intelligent Transportation Society of New Jersey in 2013. He has been an active member of national and international scientific and professional committees and organizations, including IEEE, ITE, ASCE, AASHTO and the Transportation Research Board (TRB) of the US National Academies. He also served as a member of the Board of Directors of the University Transportation Research Center (UTRC) at the City University of New York – USDOT’s Region 2 University Transportation Center.
Joseph Chow is an Institute Associate Professor in the Department of Civil & Urban Engineering and the Deputy Director at the C2SMART Tier-1 University Transportation Center at NYU, and heads BUILT@NYU: the Behavioral Urban Informatics, Logistics, and Transport Laboratory. Chow’s research expertise lies in transportation systems, with emphasis on multimodal networks, behavioral urban logistics, smart cities, and transport economics. He is an NSF CAREER award recipient, a former elected Chair of the Urban Transportation SIG and appointed TSL Cluster Chair at INFORMS Transportation Science & Logistics Society, chair of the TRB subcommittee on Route Choice and Spatiotemporal Behavior, and is an appointed Associate Editor for International Journal of Transportation Science & Technology and Transportation Research Record, the journal for the Transportation Research Board of the National Academies. At NYU Chow is an Associated Faculty at CUSP and Rudin Center.
Semiha Ergan is an Assistant Professor of the Department of Civil and Urban Engineering and Computer Science and Engineering (courtesy) at New York University, and an associated faculty at CUSP. With her background in civil engineering, data science, and building informatics, she works on improving buildings’ performance during design, construction, and operation phases. Ergan leads the Building Informatics and Visualization Lab (biLAB), where she actively seeks data-driven and model-based solutions to operational challenges associated with construction and operation of civil infrastructure systems, with an emphasis on buildings. Her work has been supported by DOE, NSF, DARPA, and private organizations. Ergan’s achievements have been recognized by a number of awards, including most recently the DARPA Young Faculty Award (2015) and the Construction Industry Institute New Scholar Award (2015). She is the Vice Chair for ASCE TCCIT Visualization, Information Modeling and Simulation Committee, an Associate Editor of ASCE Journal of Computing in Civil Engineering, and academic committee member of Construction Industry Institute.
Masoud Ghandehari serves on the Faculty of Civil and Urban Engineering at the NYU Tandon School of Engineering and is an associate faculty at the NYU Center for Urban Science and Progress. Ghandehari is the author of Optical Phenomenology and Applications: Health Monitoring for Infrastructure Materials and the Environment, 2018, the founding investigator of the New York State Resiliency Institute for Storm Events, and founder of Chromosense LLC., which is supported by the National Institutes of Health for innovation in environmental sensing. His research in optical spectroscopy, sensing, imaging, and data analytics has led to the development of applications and technologies suitable for diverse environments and multiple scales; ranging from the molecular to the urban landscape.
Shri Iyer serves as the Managing Director for the C2SMART Center, overseeing the operations of the center as well as agency outreach and strategic planning of the center. Prior to joining C2SMART, Iyer worked at MTA New York City Transit on promoting data-driven policy and analysis within the agency. He is also experienced in working with other agencies in the New York area, and brings with him extensive knowledge of the regional transportation system. Iyer completed his MS in Civil (Transportation) Engineering at Rutgers University in 2009 and received his MPA for Public Service Leaders from the NYU Wagner School of Public Service in 2020.
Molly Seeley completed her MSc in Public Policy and Administration at the London School of Economics and Political Science in 2020 and received her B.A. in Anthropology and Comparative Literature from New York University in 2013. Prior to coming on board at C2SMART, Seeley spent six years at the Institute of Global Homelessness at DePaul University, working with a portfolio of thirteen cities across six countries to measurably and sustainably reduce homelessness. At C2SMART, Seeley is responsible for overseeing, tracking, and coordinating multiple parallel research efforts undertaken by Principal Investigators, staff, and students. She manages project stakeholders across multiple sectors and is responsible for the organization and facilitation of meetings, workshops, and training to ensure successful technology transfer.

Monica Menendez is the Associate Dean of Engineering for Graduate Affairs and a Professor of Civil and Urban Engineering at New York University Abu Dhabi, as well as a Global Network Professor of Civil and Urban Engineering at the Tandon School of Engineering in New York University. She is also the Director and Lead PI of the NYUAD Research Center for Interacting Urban Networks (CITIES); and the recipient of the NYUAD Distinguished Research Award for 2021. Between 2010 and 2017, Menendez was the Director of the research group Traffic Engineering at ETH Zurich. Prior to that, she was a management consultant at Bain & Company. She joined Bain after receiving a PhD and a MSc in Civil and Environmental Engineering from UC Berkeley in 2006. During her studies there, Menendez received, among other awards, an NSF Fellowship and the Gordon F. Newell Award. In total, she is the recipient of more than 20 scholarships and awards from well-known and prestigious organizations, professional societies, and universities. Menendez also holds a dual degree in Civil Engineering and Architectural Engineering from the University of Miami, from where she graduated Summa Cum Laude in 2002.

Samer Madanat, Dean of New York University Abu Dhabi’s Engineering Division, is the Xenel Distinguished Professor of Engineering, former Chair of the Department of Civil & Environmental Engineering and former Director of the Institute of Transportation Studies at the University of California at Berkeley. He received a BSc in Civil Engineering from the University of Jordan in 1986, and a MS and PhD in Transportation Systems from MIT in 1988 and 1991, respectively. From 2001 to 2011, Madanat served as the Editor-in-Chief of the ASCE Journal of Infrastructure Systems. He is currently Editor of Transport Policy, Associate Editor of the European Journal of Transportation and Logistics, and an editorial board member of Transportation Research D, and Computer-Aided Civil and Infrastructure Systems. Madanat serves on several advisory committees, including for the National Research Council, and has served as an external reviewer of Civil Engineering departments at MIT, Nanyang Technological University of Singapore, and Tongji University.

Saif Jabari an Associate Professor of Civil and Urban Engineering at New York University Abu Dhabi and Global Network Associate Professor of Civil and Urban Engineering at the New York University Tandon School of Engineering. Prior to joining NYUAD, Jabari was a Post-Doctoral Researcher in the Mathematical Sciences and Analytics Department at the IBM T.J. Watson Research Center in Yorktown Heights, NY. Jabari received his Ph.D. in Civil Engineering from the University of Minnesota, Twin Cities in 2012. His doctoral dissertation received the 2012 Milton Pikarsky Memorial Award for best dissertation in Science and Technology.
Ali Diabat received his B.Sc. degree in Mechanical Engineering from Jordan University of Science and Technology, Jordan in 1999, M.Sc. degree in Operations Research from North Carolina State University, USA in 2003, and his Ph.D. in Industrial Engineering from Purdue University, USA in 2008. In June 2008, Diabat joined Masdar Institute of Science and Technology in Abu Dhabi as an Assistant Professor of Engineering Systems and Management, and due to his exceptional performance, he was promoted to Associate Professor in June 2012, and to Full Professor in June 2016. Right after completing nine years at Masdar Institute, Diabat joined New York University Abu Dhabi as a Global Network Professor of Civil and Urban Engineering.

Zhibin Chen is an Assistant Professor of Engineering, NYU Shanghai and a Global Network Assistant Professor, NYU. Prior to this appointment, he was a research fellow in the Department of Civil and Environmental Engineering at the University of Michigan, Ann Arbor. Chen’s research goal is to identify, develop, and implement emerging technologies to achieve a safer, more efficient, and environment-friendly transportation system. Chen was the recipient of the Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award at the 95th TRB Annual Meeting.
ChengHe Guan is an Assistant Professor of Urban Science and Policy at NYU Shanghai. He also serves as a research consultant at the Centre on Migration, Policy and Society at the University of Oxford and as a senior visiting researcher at the School of Engineering and Applied Sciences at Harvard University. Guan is the co-director of the International Urban Innovation Research Center, a nonprofit organization. He received his master’s and doctoral degrees from the Department of Urban Planning and Design at Harvard University. Guan has published more than 30 papers in internationally renowned journals indexed in the Science/Social Science Citation Index. Guan has taught courses at both NYU Shanghai and Harvard University.

Women in TransitTech: Solutions to the Pink Tax on Transportation
2022-05-05 13:30 - 14:30
“The Pink Tax” has emerged as a term used to describe the higher prices women pay for equivalent products and services: the classic example is that a pink “ladies’” razor costs more than a blue “men’s” one. But how pervasive is this “tax,” and how does it impact services that seem at first glance more difficult to gender, like transportation? The NYC subway charges the same fare to every adult, regardless of gender — but how do social factors, like more frequent exposure to harassment or heightened caregiving responsibilities, affect how women incur transportation costs?
Dive into a discussion on “The Pink Tax on Transportation: Women’s Challenges in Mobility,” a recent study by the NYU Rudin Center for Transportation, moderated by one of its authors, Sarah Kaufman (Associate Director at NYU Rudin). Kaufman will lead a conversation with three transit experts on the paper’s findings, its implications for equitable transit strategy and planning, and the solutions panelists have explored to minimize women’s additional transportation costs.
Speakers

Meghna Khanna
Senior Director at Mobility Corridors
LA Metro
Meghna Khanna is a Senior Director with the Mobility Corridors Department at LA Metro. She manages and oversees environmental clearance and design of various Light Rail Transit Projects including West Santa Ana Branch. As a previous member of the LA Metro’s Women and Girl Governing Council, she led the Understanding How Women Travel Study- first of its kind by a transit agency in the United States – and is currently managing the Gender Action Plan.

Sarah Meyer
Chief Customer Officer
Metropolitan Transportation Authority

Sarah Meyer is the Chief Customer Officer for the Metropolitan Transportation Authority. She is charged with rebuilding and enhancing the customer experience for New York City’s subway, bus, and paratransit riders, and for those using MetroNorth and Long Island Rail Road services. From trip-planning, to purchasing fare media, to on-board experiences, she is responsible for the customer journey end-to-end. She is currently focused on COVID response and bringing New York City back to life, making it easier for customers to get from A to B, quickly and easily. Her team recently won a Cannes Gold Lion for their groundbreaking work on map.mta.info.Prior to her work at Transit, Sarah was a communications and business transformation consultant with 15 years of experience. She graduated from Wellesley College with a degree in art history, and she currently lives in New York City with her husband and two young daughters.

Leni Schwendinger
Urban Lighting Designer
Leni Schwendinger Light Projects

Leni Schwendinger is a published, award-winning authority on issues of city lighting, with more than 20 years of worldwide experience creating illuminated environments. Her innovative interdisciplinary practice, nighttime design urbanism, focuses on city districts’ darkened hours and includes fresh community involvement methodologies such as “NightSeeing™, Navigate Your Luminous City” program. Leni is a Visiting Research Fellow at the London School of Economics, a Design Trust for Public Space Fellow (NYC).

Sarah Kaufman
Associate Director
NYU Rudin Center for Transportation

Sarah M. Kaufman is the Associate Director of the NYU Rudin Center for Transportation, where she researches, advocates for and educates about cutting-edge technologies in transportation. She is also an Adjunct Professor of Planning, teaching Intelligent Cities and Advanced Projects in Urban Planning.

ITS America Webinar: Creating Access Through Equity in Transportation
2022-05-04 14:00 - 15:00
We all rely on some form of transportation to access employment, education, health care, and other services. But not everyone has equal access to high-quality, reliable, and safe transportation. Even with a growing variety of transportation options available, many residents find themselves limited in their choices due to physical accessibility limitations, safety concerns, or other impediments to safe and efficient travel.
By leveraging and utilizing new and emerging technologies, we can build a more affordable and inclusive transportation system for more of our communities, particularly for those who have traditionally been underserved or overlooked in transportation policy development. In this webinar, leaders from top US research institutions will discuss how new developments and innovations in Transportation Equity can help make our system safer and more equitable for all users.
Speaker:
• Dr. Robert Hampshire – Deputy Assistant Secretary for Research and Technology and Chief Science Officer, U.S. DOT
Panelists:
• Dr. Mansoureh Jeihani – Director of the Urban Mobility & Equity Center (UMEC) and Professor, Morgan State University
• Dr. Kaan Ozbay – Director of the Connected Cities with Smart Transportation (C2SMART) Center and Professor, New York University
• Tia Boyd – Research Associate with the Center for Urban Transportation Research (CUTR), University of South Florida
• Dr. Hilary Nixon, Deputy Executive Director, Mineta Transportation Institute (MTI) at San José State University (SJSU) (moderator)

2022 Tandon Research Excellence Exhibit
2022-04-29 13:00 - 16:00 | Brooklyn Commons, 5 MetroTech Center, Brooklyn, NY, 11201, United States
Research Excellence Exhibit 2022 is an annual public event that features exhibits that illustrate the scope of engineering and the applied sciences, and their potential for improving the world. This year’s Exhibit will celebrate the incredible academic contributions of the NYU community and the ways in which they connect to Tandon’s seven areas of research excellence.
Stop by the Tandon Research Excellence Exhibit to view and experience incredible projects, and also enjoy free Ben & Jerry’s Ice Cream, popcorn, and Tandon t-shirt giveaways!
The Exhibit is free and open to the public. In the event of inclement weather, the Exhibit will be moved inside the Brooklyn Athletic Facility Gym. Due to NYU’s current COVID-19 guidelines regarding indoor visitors, if the Exhibit is moved indoors, it will only be open to the NYU community.
RSVP to receive updates about the Exhibit location.

4th Women in Transportation Panel Discussion and Networking
2022-04-28 18:30 - 19:30 | C2SMART Center Viz Lab, 6 Metrotech Center, Room 460, Brooklyn, 11201
Note: This is a hybrid event. Non-NYU attendees can join the event via Zoom and NYU students are encouraged to attend in person at 6 Metrotech Center, Room 460, Brooklyn, 11201. Due to current NYU health protocols, in-person attendance for non-NYU guests is not feasible at this time.
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, followed by 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.
The panel provides a space for attendees to discuss challenging issues facing the transportation field, opportunities for growth, and ways in which current and future transportation professionals can work together to create a more equitable workspace. All students, regardless of self-identification, are encouraged to attend.

Getting Started with Android Development
2022-04-22 13:00 - 14:00
Instructor: Matthew Maggio, Software Engineer
Hands-on exercise: Yes
Level: No prior experience required.
Schedule: April 22, 2022 | 1:00 PM – 2:00 PM ET
Mobile 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.
RSVP here.

State-of-the-Field: Structural Health Monitoring (SHM) Application to Bridge Projects: Experience from Louisiana
2022-04-20 12:00 - 13:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
In the State-of-the-Field event series, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances, opportunities, predictions, research bottlenecks, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems.
Professor Ayman M. Okeil, LSU will share his experience applying structural health monitoring (SHM) methods to three Louisiana projects, employed to assist the Louisiana DOTD in updating their standard continuity detail between simply supported prestressed concrete girders, and to address load rating of cast-in-place (CIP) reinforced concrete (RC) box culverts with low fill heights. He’ll share the impact this applied research made on the Louisiana Bridge Design and Evaluation Manual, and recommendations for future load ratings. Professor Okeil will also share his efforts to develop the transportation workforce of tomorrow by introducing SHM to civil engineering curriculum, sponsored by the National Science Foundation.
Presenter

Dr. Ayman M. Okeil is Roy P. Daniels Professor of Engineering in the Department of Civil and Environmental Engineering, Louisiana State University. Dr. Okeil’s experience in the field of bridge engineering includes strengthening of concrete girders using composite materials, behavior of box girder bridges, structural health monitoring and reliability calibration of LRFD codes. Dr. Okeil is a voting member / associate member in several national committees (ACI 440 and 444, TRB AKB10 AND AKB30, ASCE-ACI 343) and serves as Associate Editor for the ASCE J. of Composites for Construction. He is the recipient of several awards in recognition of his teaching and research contributions including “Michael R. Mangham Memorial Undergraduate Teaching Award” from LSU Tiger Athletic Foundation, the “Outstanding Teaching Award” at NCSU, the “Outstanding Achievement Award” at LSU (twice), and the “Educator of the Year Award” from the Baton Rouge Branch of ASCE (twice). He has also consulted on various projects related to both buildings and bridges. His PhD dissertation investigated seismic design of secondary systems in nuclear power plants.

C2SMART Learning Hub - Computer Vision: Object Detection & Tracking
2022-04-15 13:30 - 14:30 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
As a follow-up learning of the previous learning hub course, “How to Build a Toy Computer Vision (CV) Model,” this course will introduce relatively more advanced object detection and tracking knowledge using computer vision techniques. Led by instructor Chenxi Liu of University of Washington, this course will introduce the principle of object detection through Convolutional Neural Network (CNN) and realize your first object detection model. The course will cover the contents about the common tools for object detection, data labeling, and model training.

Ramp metering: Control Strategies and New Insights
2022-04-01 13:00 - 14:00 | https://nyu.zoom.us/meeting/register/tJYude-qqj4iG9Wfm-P7NbmXGCfW4qkORUdd
Instructor: Yu Tang, New York UniversityHands-on exercise: YesLevel: No prior experience required.Schedule: April 1, 2022 | 1:00 PM – 2:00 PM ET
Dynamic flow networks are a class of useful models for a variety of engineering systems including transportation systems, production lines and communication networks. This session will introduce its basic concepts, mathematical modeling and control strategies. The application will be illustrated with ramp metering, a typical strategy for freeway management.

ITE Met Section 2022 Virtual Career Fair and Speed Networking
2022-03-30 12:00 - 14:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
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.
Virtual 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.
Virtual 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.

Lane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach
2022-03-28 12:00 - 17:00
The emergence of connected and autonomous vehicles (CAVs) presents increased opportunities to mitigate traffic congestion, improve safety and reduce accidents. Professor Zhong-Ping Jiang, and researchers Leilei Cui and Sayan Chakraborty are applying innovative reinforcement learning control methods to one challenging aspect of CAV control: lane changing in mixed traffic. The team takes a novel approach by reducing the trajectory planning and tracking problem down to the minimization of a cost function that depends on a target way-point in the lane a CAV is targeting. They’ll discuss the integration of reinforcement learning and adaptive/approximate dynamic programming methods without assuming exact knowledge of surrounding vehicles, while avoiding the curses of dimensionality and modeling of conventional dynamic programming, and they’ll share simulation and validation results of this promising method towards minimizing fuel consumption and improve safety of the whole traffic stream.
Presenters
Professor Zhong-Ping Jiang is known for his contributions to stability and control of interconnected nonlinear systems, and is a key contributor to the nonlinear small-gain theory. His recent research focuses on robust adaptive dynamic programming, learning-based optimal control, nonlinear control, distributed control and optimization, and their applications to computational and systems neuroscience, connected and autonomous vehicles, and cyber-physical systems.
Professor Jiang is a Deputy Editor-in-Chief of the IEEE/CAA Journal of Automatica Sinica and of the Journal of Decision and Control and has served as Senior Editor for the IEEE Control Systems Letters (L-CSS) and Systems & Control Letters, Subject Editor, Associate Editor and/or Guest Editor for several journals including International Journal of Robust and Nonlinear Control, Mathematics of Control, Signals and Systems, IEEE Transactions on Automatic Control, European Journal of Control, and Science China: Information Sciences.
Leilei Cui is a third-year PhD student at the Department of Electrical and Computer Engineering, New York University, under the supervision of Professor Zhong-Ping Jiang. He received a B.S. Degree in Automation from Northwestern Polytechnical University, Xian, China, in 2016, and the M.S. degree in Control Science and Engineer from Shanghai Jiao Tong University, Shanghai, China, in 2019. His research interests are reinforcement learning, adaptive dynamic programming, control theory, and their applications to robotics and intelligent transportation.
Sayan Chakraborty is a first year PhD candidate at the Department of Electrical and Computer Engineering, New York University, under the supervision of Professor Zhong-Ping Jiang. He obtained a B.Tech. degree in Electrical Engineering from National Institute of Technology, Silchar, India in 2017, and an M.Tech. degree in Electrical Engineering with specialization in Systems and Control from Indian Institute of Technology Hyderabad, India in 2021. His research interests are data-driven control, adaptive dynamic programming, and their application to autonomous vehicles.

Build Your First Interactive Data Dashboard Using Dash Plotly
2022-03-04 14:00 - 15:00
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
This 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.
RSVP here.

Hands-On Tutorials for Amazon Web Services (AWS)
2022-02-25 14:00 - 15:00
Instructor: Yubin Shen, Research EngineerHands-on exercise: YesBeginner level: No prior experience required.Schedule: February 25, 2022 | 2:00 PM – 3:00 PM ET
This 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).
RSVP here.

USDOT Artificial Intelligence Video Forum
2022-02-24 14:00 - 16:00 | https://c2smart.engineering.nyu.edu/event/usdot-artificial-intelligence-video-forum/
The U.S. Department of Transportation (USDOT) will be offering a preview of the latest innovative research in artificial intelligence (AI) in transportation from University Transportation Centers (UTCs) across the country. The webinar will feature the research of 11 UTCs, each of which has produced a short video showcasing their USDOT-funded AI research and its potential impact on society. Videos will address issues of national importance such as distracted driving, pedestrian safety, traffic mitigation, and much more. The video presentation segment is approximately one hour, with Q&A afterwards.
Featured universities include:

Carnegie Mellon University
Clemson University
Louisiana State University
Missouri University of Science and Technology
Morgan State University
New York University, University of Texas – El Paso, University of Washington, Rutgers University, and The City College of New York (consortium)
North Carolina Agricultural and Technical State University
San Jose State University
South Dakota State University
The University of Tennessee and The University of North Carolina at Chapel Hill
Virginia Tech Transportation Institute

State-of-the-Field: New Fiber Optic Structural Health Monitoring (SHM) Technologies and Recent Case Studies
2022-02-24 12:00 - 13:00 | https://c2smart.engineering.nyu.edu/event/state-of-the-field-new-fiber-optic-structural-health-monitoring-shm-technologies-and-recent-case-studies/
SMS provides specialized, fiber-optic structural health monitoring (SHM) systems for bridges and tunnels and world-wide has worked with many agencies and engineering firms. Terry Tamutus, Founder and CEO of SMS, will discuss solutions to new construction problems and deteriorating bridges. He’ll share successful case studies, lessons-learned, critical safety issues, O&M improvement, deterioration models, and asset management. This webinar will provide engineers with a high-level SHM overview, types of RFPs used by different agencies, and a check-list for SHM project oversight.
In the State-of-the-Field event series, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances, opportunities, predictions, research bottlenecks, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems.
Terry Tamutus of SMS, is a Mechanical Engineer and has over 30 years of SHM expertise. Terry has published over 20 peer-reviewed papers on Acoustic SHM. He provides SHM design, application support, installation, training, and product development. Worldwide, he has provided hundreds of papers and presentations to universities, engineering societies (NACE, PTI, ASNT, TRB), government agencies (DoD, DOTs, NIST, FAA, NASA, FHWA), and companies including Boeing, Lockheed, PowerGen, and refineries.

Proactive Road Safety Management Techniques
2022-02-22 12:00 - 13:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
The increasing popularity of smart cities and recent developments in sensing, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity to substantially advance and fundamentally transform the road safety profession—enabling continuous, real-time, proactive safety evaluation and optimization. The application of innovations that are both progressing and disrupting the status quo represents an opportunity for improved transportation safety. However, with the introduction of new modes of mobility and the complex interactions created by these different technologies within the transportation system, governments will need to rely on advanced research and analysis techniques to support policies towards the transition to these new forms of mobility and technologies. These issues are discussed and several methods and techniques developed in this area are described with example projects from several agencies worldwide.

Tarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. His research focuses on traffic operation and safety, Intelligent Transportation Systems (ITS), and the application of information technologies.

Improving Contraflow Left-Turn Lane Design at Signalized Intersections to Decrease Traffic
2022-02-18 13:30 - 14:30 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
Contraflow left-turn lanes (CLL) are designed for increasing left-turn capacity and have been increasingly implemented at signalized intersections. Professor Yi Qi will introduce this innovative intersection design and the signal timing and geometric design required for its implementation. She will share a systematic method for determining CLL length and signal timing, and a case study for evaluating the operational benefits of redesigning a real-world CLL intersection using these recommendations, which resulted in decreased average traffic delay, vehicle travel time, and queue length. Professor Qi will also discuss an innovative signal timing strategy, Counterclockwise Split Phasing (CSP) signal timing, for implementing CLLs at signalized intersections with split phasing (SIWSPs.) She’ll share the results of a traffic simulation-based case study which indicate that by using the proposed CSP signal timing plan, CLLs can be implemented at SIWSP to significantly reduce traffic congestion caused by high left-turn demand at this type of intersection.

Dr. Yi Qi is the Chair of the Transportation Studies Department and a professor at Texas Southern University. Dr. Yi Qi is a very productive scholar who has directed more than 20 external foundered projects sponsored by various federal and local governments and has more than 50 journal publications, and numerous conference proceeding papers and technical report publications. Her research areas include transportation safety analysis, traffic signal operation, intersection geometric design, and GIS-based transportation system performance analysis. Dr. Qi is a nationally recognized scholar and serves as a member of numerous committees of national and international organizations. She received her M.S. and Ph.D. degrees in transportation planning and engineering from the Polytechnic University of New York (New York University Tandon School of Engineering) in 2002. In addition, she has a B.S. in mathematics and an M.S. in probability and statistics from East China Normal University (ECNU) in China.

Context Driven Analytics and AI for Infrastructure and Facility Management
2022-02-15 12:30 - 13:30 | C2SMART Center Viz Lab, 6 Metrotech Center, Room 460, Brooklyn, 11201
Engineers and managers involved in facility/infrastructure operations need situational awareness and accurate assessment of as-is conditions when making daily decisions and developing short- and long-term plans. Currently, however, the situational awareness of engineers is often limited by a lack of actionable information relevant to the specific facilities and infrastructure systems in their purview. Advances in sensing and reality capture technologies, such as 3D imaging via stationary platforms or drones and in-situ sensing, streamline capturing of data depicting as-is conditions. Data collected from these technologies, integrated with building information models, enable context-driven analyses of as-is conditions, generation of actionable information related to specific facilities/infrastructure systems, and development of algorithms that help support proactive and predictive operations. Professor Burcu Akinci will provide an overview of the opportunities and research approaches associated with integration of sensor data with building/infrastructure information models and with development of context-driven algorithms. She’ll demonstrate applications of these approaches through specific deployments in several facilities and other infrastructure systems, and highlight specific research projects being conducted at Carnegie Mellon University with a vision towards self-aware autonomous facilities and infrastructure systems.

Dr. Burcu Akinci is Paul Christiano Professor of Civil & Environmental Engineering at Carnegie Mellon University and a member of the National Academies of Construction. She earned an MBA from Bilkent University (Ankara, Turkey), and master’s and PhD degrees in civil and environmental engineering from Stanford University. Dr. Akinci’s research focuses on investigating utilization and integration of building information models with data capture technologies to create digital twins of construction projects and infrastructure operations and develop approaches to support proactive and predictive operations and management. Recipient of myriad awards, including 4 best paper awards from top journals and PI of more than $6M grants, she co-founded and is Chief Innovation Officer at LeanFM Technologies, recipient of the 2017 Pittsburgh Business Times Innovation Award.

Performance Measurement from the New York City Connected Vehicle Pilot
2021-12-15 14:00 - 15:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
The U.S. Department of Transportation (U.S. DOT) will host a webinar to share the performance measurement from the New York City (NYC) Connected Vehicle (CV) Pilot. The webinar will be held on Wednesday, December 15, from 2:00 PM to 3:00 PM (ET).

The NYC CV Pilot has deployed over 450 roadside units and 3,000 aftermarket safety devices in vehicles running 13 vehicle-to-vehicle and vehicle-to-infrastructure applications focused on safety. The webinar will provide an overview of the performance evaluation of the deployed CV applications in NYC’s urban canyon environment. The webinar will also cover NYC’s plans for the next phase of the project after completion of the CV Pilot’s Phase III operations.
BACKGROUND
Sponsored by the U.S. DOT Intelligent Transportation Systems (ITS) Joint Program Office (JPO), the CV Pilot Deployment Program is a national effort to enable multiple connected vehicle applications and deploy, test, and operationalize cutting-edge mobile and roadside technologies. These innovative technologies and applications have the potential for immediate beneficial impacts—such as saving lives, improving personal mobility, enhancing economic productivity, reducing negative environmental impacts, and transforming public agency operations.

The U.S. DOT selected three agencies as CV Pilot deployment sites: the Wyoming Department of Transportation, the New York City Department of Transportation, and the Tampa Hillsborough Expressway Authority. Each site prepared a comprehensive deployment concept to ensure a rapid and efficient connected vehicle capability roll-out. The sites then worked to design, build, and test these deployments of integrated wireless in-vehicle, mobile device, and roadside technologies. The NYC CV Pilot is nearing the completion of the operational phase, where the tested system was operated and maintained in good working order over a period of 12 months and monitored on a set of key performance metrics to measure its impact.
For more information about the NYC CV Pilot, please visit https://www.its.dot.gov/pilots/pilots_nycdot.htm.

Cooperative Perception of Smart Roadside Unit with Edge AI for Driving Assistance
2021-12-07 12:00 - 13:30
3D object detection is essential for building autonomous driving perception systems that can detect 3D objects from sensor information and safely plan movement accordingly. Stereo cameras, light detection, and liDAR in existing CAV systems can be heavy and expensive, and have suffered from computing resource limitation, resulting in unavoidable calculation errors or delays that can lead to severe consequences. To address this challenge and provide more reliable real-time localization services for CAVs, C2SMART Center researchers Wei Sun and Chenxi Liu have developed a smart roadside unit (SRSU) with advanced computer vision technologies for driving and parking assistance. Developed by the STAR Lab at UW, the SRSU sensor is a multi-source traffic sensing roadside unit that can transmit data through 4G/5G data plan or Long Range (LoRa) and Narrow Band Internet of Things (NB-loT) data communication protocols. Wei and Chenxi will discuss the development and impact of the smart roadside unit, along with a Mobile Unit for Traffic Sensing (MUST) employed for data analysis and for reliable, efficient communication with surrounding vehicles.

Dr. Wei Sun is a research associate in transportation engineering in the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He has a Ph.D. in transportation engineering from the University of Florida (2019) and a bachelor’s degree in transportation engineering from South China University of Technology (2014). Dr. Sun’s active research fields include Intelligent Transportation Systems (ITS), transportation data analytics, traffic operations and safety, and traffic simulation and software development. Dr. Sun has worked on research projects funded by Federal Highway Administration (FHWA), National Cooperative Highway Research Program (NCHRP), Washington State Department of Transportation (WSDOT), Center for Safety Equity in Transportation (CSET), and Pacific Northwest Transportation Consortium (PacTrans). Dr. Sun serves as reviewers for the Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, American Society of Civil Engineers (ASCE) Journal of Transportation Engineering, Institute of Electrical and Electronics Engineers (IEEE) International Smart Cities Conference, and Transportation Research Record (TRR).

Chenxi Liu is a Ph.D. student in the Smart Transportation Applications and Research Laboratory (STAR Lab) at the University of Washington (UW). He received his master’s degree in Civil Engineering from University of Washington (2020) and bachelor’s degree in Civil Engineering from Tsinghua University (2017) in Beijing, China. He came to University of Washington, Seattle, WA, US. in 2017, he has been a Research Assistant in Smart Transportation Research and Application Lab (STARLab). His research interest includes computer vision, deep learning, neural network, and smart transportation facilities.

Get started with Blockchain: Distributed ledgers for real use cases, using Hyperledger Fabric
2021-12-03 14:00 - 15:00
As blockchain continues to grow in popularity, another type of distributed ledger is gaining traction as well: enterprise grade distributed ledgers. This session will give an overview on enterprise grade distributed ledgers, answering the questions on how they work, and when to use them. A tutorial using Hyperledger Fabric will also show how we can create and interact with our own traffic specialized distributed ledger, to demonstrate a real use case.

Introduction to Cybersecurity and Its Application in Transportation
2021-12-01 14:00 - 15:00
The Introduction to Cybersecurity and its application in Transportation will help you to discover essential knowledge, skills, key elements and topics in cybersecurity. We will briefly discuss the history of security analysis of modern automobiles and the need for cybersecurity including typical threats and potential solutions.

Forensic Analysis of Vehicular Malfunctions Using On-Board Data
2021-11-30 11:00 - 17:00 | 370 Jay Street, Room 825, 370 Jay Street, Room 1201, New York City, NY, 11201, United States
This event explores forensic analysis and recording of vehicle dynamic performance tests and investigations. To accomplish these tests and investigations, researchers developed forensically accurate and reliable test monitoring and recording instruments. Because the tests were usually sequential and interactive between the vehicle operator and the particular exemplar vehicle, those instruments have to allow for real time graphical readouts and displays of parameters from both vehicle data networks and from instrumentation data networks.
It is hoped that the methodologies and examples shown here will encourage students and professionals to explore data analysis designs and solutions beyond basic or textbook procedures by providing examples to show real world data projects and test instruments that are now repeatedly used in many continuing vehicle forensic investigations. Additionally, these working examples have been shown to assist associated skill disciplines such as Reconstruction and Biometric Analysis of these same accidents.
SPEAKERS
William Rosenbluth has been President and Principal Engineer for Automotive Systems Analysis (ASA), Reston, VA, for 33 years. He has 58 years of experience with complex electro-mechanical, electronic and computer components and systems. He was employed by the IBM Corporation for 21 years, until forming ASA. At ASA, he specializes in the analysis and diagnosis of computer-related vehicle control systems and in the retrieval and analysis of electronic crash-event data in accident vehicles (black box data). His has authored two books, ‘Investigation and Interpretation of Black Box Data in Automobiles’ (2001) and ‘Black Box Data from Accident Vehicles’ (2009). He holds a BEE (‘61) and an MSEE (‘65) from the Polytechnic Institute of Brooklyn.
Peter J Sullivan has been President and Principal Engineer for Advanced Analysis Associates, Inc, for the past 26 years. His performs Forensic Expert Witness investigations for clients throughout the US, and he testifies in State and Federal Courts throughout the US. In his investigative capacity, he performs data downloads and imaging of Electronic Control Modules and ESI, including analysis and application to elements of accident reconstruction, validation, and electronic testing, on almost all makes and models of vehicles, equipment. and hand-held electronics. He holds a Bachelor of Science in Chemistry and Physics (‘84) from Texas State University.

State-of-the-Field: Application of Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) Sensors For Infrastructure Assessment and Resiliency
2021-11-23 12:00 - 13:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
Structural Health Monitoring (SHM) is being applied to many types of infrastructure to determine its durability, performance and response to various loading conditions. Weigh-In-Motion (WIM) provides an efficient way to estimate the static weight of a vehicle by measuring the dynamic tire force of a moving vehicle. Recently, emphasis has been placed on coupling these two complementary technologies in infrastructure evaluation and resiliency: SHM provides structural response or resistance while WIM provides actual loading conditions and future load prediction that enables determination of infrastructure capacity, resulting in the operating service loads needed for developing statistical live load models for use at the strength and service limit states.
Dr. Nassif will provide an overview of how SHM, WIM, and related sensor technologies have evolved over the last three decades, emphasizing the current SHM programs of civil infrastructure in the NY/NJ Metropolitan Area. He’ll discuss various projects highlighting structural modeling and analysis, sensor networking and instrumentation, data processing, model validation, and probabilistic predictions. Dr. Nassif will also provide an overview of how various sensor data might be processed to assess actual behavior of the structure at various stages, and how unique solutions adopted in response to various agencies’ design and construction issues have led to major improvements in model predictions, calibration of reliability-based design codes, and successful implementation and modifications of technical specifications.
SPEAKER
Dr. Nassif is a Professor in the Department of Civil and Environmental Engineering and Director of the Rutgers Infrastructure Monitoring and Evaluation (RIME) Group at Rutgers University, where he has established the Bridge Engineering program. He is also serving the Associate Director for Outreach and Technology Transfer at the federally-supported C2SMART Tier 1 University Transportation Center (UTC) at which Dr. Nassif is leading the significant efforts to conduct the research area of the resilient, secure, and smart transportation infrastructure.

Transportation Engineering Minor Social Hour and Info Session
2021-11-19 14:30 - 15:30
Join our Transportation Engineering Minor Social Hour and Info Session with current and prospective transportation minor students. It’s a chance for current students to get to know their peers, for interested students to learn more about the minor, and to address any questions they might have about job/internship opportunities, course requirements, grad school, research, student activities, and more.

Info-Session: C2SMART Center 2022 Funding for Student Research Projects and Initiatives
2021-11-19 12:00 - 13:00
Have an idea for a startup, research project, or other academic program?
This information session will walk students and faculty mentors through the different opportunities for funding available through the C2SMART Center’s annual call for proposals.
This year, the C2SMART Center is seeking to expand its platform for providing student opportunities, particularly for students belonging to under-represented groups. We are widening our student-led research focus to include flexible, agile funding for student-driven projects, entrepreneurship, and events. To that end, C2SMART is calling for proposals opening a sub-RFP exclusively led by graduate students to Masters and PhD students looking to:
• launch or expand a graduate research project related to the student’s area of research,
• incubate an idea or innovation towards a commercial or nonprofit enterprise,
• develop mentorship or programming for K-12 or undergraduate students, and
• pre-professional networking activities such as panels events or roundtable discussions that will be made available to other students throughout the consortium.
Successful proposals should identify a faculty mentor from the C2SMART consortium to work under.

Cycle Speak with Laura Fox: Citi Bike & Urban Mobility
2021-11-18 12:00 - 13:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
What’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.
EVENT RECORDING

SPEAKER
Laura 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.
Outside 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).
Laura 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.
STUDENT MODERATOR
Suzana 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.

Building a Decision Support Tool for Optimal & Equitable Distribution of EV Charging Stations in NYC
2021-11-17 12:00 - 13:00 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
Electric vehicles (EV) are key to the world’s decarbonization effort, but access to charging infrastructure may become a prominent adoption barrier, the burden of which will disproportionately affect low- and middle-income communities, communities of color, areas near multi-family housing, and residential and rural areas. Researchers led by Professor Yury Dvorkin, NYU Tandon, and Professor Burçin Ünel, Energy Policy Director at the Institute for Policy Integrity at NYU School of Law, set out to address the accessibility of EV charging to build a decision-support tool to inform where and how to provide optimal, equitable investments in EV charging infrastructure. In the first phase of their research, they found that availability and affordability of EV charging stations in NYC are more strongly associated with median household income and the percentage of white population in each zip code, rather than population density.
The team is hosting this update on their research so far, seeking input from primary stakeholders to understand the technological gaps that prevents widespread expansion of EV charging infrastructure and to encourage their continued participation in this research to drive practically feasible and ethical research outcomes.

Natural language processing methods for textual similarity using Python
2021-11-16 15:00 - 16:00
In this session, you will learn the basics of text representation in natural language processing (NLP) and various state-of-the-art NLP techniques for (semantic) textual similarity tasks. We will walk through data preparation and processing steps with language modeling tools in Python (e.g., Doc2Vec, Sentence-BERT) for computing text/document similarity and discuss several practical applications of such NLP techniques in transportation related downstream tasks.
Click Here to View Video Recording

Roadmap to Cooperative & Automated Transportation
2021-11-16 15:00 - 15:30 | Virtual, 6 MetroTech Center, Brooklyn, NY, 11201, United States
The world has placed high hopes in automated vehicle (AV) technologies in revolutionizing transportation system performance, including multiplying roadway capacity and minimizing energy consumption. However, research conducted by Dr. Xiaopeng (Shaw) Li and colleagues has found that existing production AVs exhibit comparable or even inferior performance compared to human-driven vehicles (HDV). To bridge this gap and realize the full potential of AVs, Dr. Li will propose a roadmap of cooperative & automated transportation, from optimal trajectory control in ideal conditions through a cooperative control framework incorporating edge computing and machine learning under real-world constraints. This analysis of ideal conditions (e.g., pure AV with perfect information and control) reveals critical theoretical properties specifying feasible time-space ranges of AV movements. Combined with customized mathematical programming and control methods, these properties lead to efficient solutions (e.g., in milliseconds) to real-time optimal trajectory planning problems. The solutions discussed by Dr. Li will serve as the building blocks for solving more realistic AV control problems (e.g., traffic mixed with human drivers, considering different cooperation classes, with stochasticity and errors).
