The New York Metropolitan Transportation Council (NYMTC) established the September 11th Memorial Program for Regional Transportation Planning to honor the memory of Ignatius Adanga, Charles Lesperance, and See Wong Shum, the three employees it lost during the attack on the World Trade Center. The program was established to educate and motivate people interested in transportation technology and planning and to encourage innovations in planning activities throughout the NYMTC region. The Program's Academic Initiative is designed to foster the academic and professional development of students by providing them with opportunities to participate in innovative research and planning projects. It is administered by the University Transportation Research Center (UTRC).
Though there has been two ways in which to participate in this program in prior years, only the internship option is being offered during 2021-22. Opportunities may be available for students to perform duties remotely for NYMTC or a NYMTC member agency. The specifc internship options for 2021 are posted now at: http://www.utrc2.org/education/available-internships-9/11. The proposed research topics will challenge students to develop creative solutions to difficult problems, providing a benefit to the region while enhancing their educational experiences. This program is open to graduate students only.
The application process for the NYMTC/UTRC September 11th Program Academic Initiative Internship Program is now open for the academic year 2021-22. The deadline to submit applications is August 15, 2021.
Up to four awards can be granted based on the September 11th Program Selection Subcommittee members. Master's degree or Ph.D. candidates who attend a UTRC consortium institution and will be enrolled full-time during the 2021-22 school year are eligible to apply. Participants will be required to conduct their projects on-site for up to 15 hours per week.
Applicants should specify their preferred internship options on the application. It is estimated that students will invest approximately 1,000 hours of effort over a 12-month calendar year. For this involvement, graduate students will receive up to $34,000 in stipend/tuition reimbursement funding. An additional $1,000 is available for professional development programs.
Together with a full class schedule, the internship constitutes a full-time commitment. Students may not have any other employment obligations while participating in this program. The interns will also be required to present on the findings of their research in September 2022.
Over the course of the year, students will also be invited to participate in other activities aimed at promoting their development as transportation professionals, such as opportunities to attend research and professional conferences.
Program participants must be enrolled full-time at one of the UTRC Member Universities. Prospective students not yet enrolled in graduate school may apply to the September 11th Memorial Program concurrently with their application to any of these schools. Additionally, the following restrictions apply to students’ eligibility for this program:
Research Options |
Internship Options |
|
Degree Goal |
NA | Graduate Students |
International Students |
NA | Only if visa allows |
Geographic Constrains |
NA | Opportunities may be available for students to perform duties remotely for NYMTC or a NYMTC member agency. |
Students from all academic disciplines are encouraged to apply, as long as their studies relate in some way to transportation planning. Fields that are especially relevant include Transportation Planning and Engineering, Civil Engineering, Computer Science, Electrical Engineering, Operations Research, City and Regional Planning, Architecture, and Public Policy, but applicants need not be limited to these fields.
The following supporting materials are required for the 2021-22 September 11th Internship:
Name | Universities |
---|---|
Julia Amaral | Rensselaer Polytechnic Institute |
Fabian Barch | New York University |
Cristina Mejia Cancelado | New York University |
Tao Liang | New York University |
Name | Universities |
---|---|
David Anton | Columbia University |
Seth Kerr | New York University |
Niloufar Nouri | City University of New York |
Carla Tejada | City University of New York |
Name | Universities |
---|---|
Gabrielle O'Grady | The City College of New York |
Yaxin Zhang | The City College of New York |
Name | Universities |
---|---|
Amirhossein Baghestani | The City College of New York |
Nury Martinez-Gutierrez | The City College of New York |
Name | Universities |
---|---|
Shirin Najafabadi | City University of New York |
Siddharth Shah | New York University |
Name | Universities |
---|---|
Bahman Moghimi | The City College of New York |
Patricio Vicuna | The City College of New York |
Name | Universities |
---|---|
Sabiheh Faghih | The City College of New York |
Di Liu | New York University |
Name | Universities |
---|---|
Gauri Jumde | New York University |
Dan Wan | City University of New York |
Name | Universities |
---|---|
Emily Grace Heard | Columbia University |
Homer Hill | Hunter College |
Name | Universities |
---|---|
Adam Davidson | City University of New York |
Stanislav Parfenov | Polytechnic Institute of NYU |
Jeremy Safran | New York University |
Simin You | City University of New York |
Name | Universities |
---|---|
Cyrus Naheedy | Polytechnic Institute of NYU |
Shuai Ren | New York University |
Maxwell Sokol | Columbia University |
Name | Universities |
---|---|
Nancy Mahadeo | Rutgers University |
Gitakrishnan Ramadurai | Rensselaer Polytechnic Institute |
Matthew Roe | Columbia University |
Brian Ross | New York University |
Name | Universities |
---|---|
Amit Arora | Rutgers University |
Richard Barone | Columbia University |
Jason Chen | The City College of New York |
Name | Universities |
---|---|
Li Chen | The City College of New York |
Wei Li | The City College of New York |
Jeevanjot Singh | Rutgers University |
David Dayu Zhang | Columbia University |
Name | Universities |
---|---|
Dr. Dan Wan | City University of New York |
Welcome to the Universal Transportation Modeling Simulation Center (UTMSC), a leading institution dedicated to advancing transportation modeling, education, and training for researchers, students, transportation professionals, and policy makers. Located at CUNY Institute for Transportation Systems, we recognize the evolving demands of transportation systems. Our real-time transport modeling capabilities support a wide range of applications, including traffic forecasting, signal optimization, incident management, security, and more. We also offer comprehensive online education and training programs for students at all levels, professionals, and public entities, ensuring that knowledge and expertise are accessible globally.
At UTMSC, our vision is to revolutionize large-scale transportation modeling by developing innovative tools and technologies that enhance research, education, training, and project implementation. We aim to be a global leader in artificial intelligence-driven transportation planning and management, continuously updating dynamic traffic forecasting models, and providing real-time transportation management solutions.
Our mission encompasses several key objectives:
Develop new tools for research, education, training, and project implementation in large-scale transportation modeling for researchers, students at all levels, transportation professionals, emergency services, consultants, and policy makers.
Harness artificial intelligence for improved traffic flow operations, optimizing transportation management and operations.
Maintain continuously updated network assignment models to accurately simulate and predict transportation dynamics.
Provide real-time transportation management solutions to enhance the efficiency and safety of transportation systems.
UTMSC has a rich history of pioneering advancements in transportation modeling and technology. Since our establishment, we have been at the forefront of developing cutting-edge tools and methodologies to address the complex challenges of modern transportation systems. Our history is marked by a commitment to innovation, collaboration, and excellence in serving the needs of researchers, students, professionals, and decision-makers in the transportation sector. As we continue to evolve and grow, UTMSC remains dedicated to our core mission of driving innovation, enhancing education and training, and contributing to the advancement of transportation science and technology on a global scale.
Research
Welcome to the Universal Transportation Modeling Simulation Center (UTMSC), a leading institution dedicated to advancing transportation modeling, education, and training for researchers, students, transportation professionals, and policy makers. Located at CUNY Institute for Transportation Systems, we recognize the evolving demands of transportation systems. Our real-time transport modeling capabilities support a wide range of applications, including traffic forecasting, signal optimization, incident management, security, and more. We also offer comprehensive online education and training programs for students at all levels, professionals, and public entities, ensuring that knowledge and expertise are accessible globally.
At UTMSC, our vision is to revolutionize large-scale transportation modeling by developing innovative tools and technologies that enhance research, education, training, and project implementation. We aim to be a global leader in artificial intelligence-driven transportation planning and management, continuously updating dynamic traffic forecasting models, and providing real-time transportation management solutions.
Our mission encompasses several key objectives:
Develop new tools for research, education, training, and project implementation in large-scale transportation modeling for researchers, students at all levels, transportation professionals, emergency services, consultants, and policy makers.
Harness artificial intelligence for improved traffic flow operations, optimizing transportation management and operations.
Maintain continuously updated network assignment models to accurately simulate and predict transportation dynamics.
Provide real-time transportation management solutions to enhance the efficiency and safety of transportation systems.
UTMSC has a rich history of pioneering advancements in transportation modeling and technology. Since our establishment, we have been at the forefront of developing cutting-edge tools and methodologies to address the complex challenges of modern transportation systems. Our history is marked by a commitment to innovation, collaboration, and excellence in serving the needs of researchers, students, professionals, and decision-makers in the transportation sector. As we continue to evolve and grow, UTMSC remains dedicated to our core mission of driving innovation, enhancing education and training, and contributing to the advancement of transportation science and technology on a global scale.
Welcome to the Universal Transportation Modeling Simulation Center (UTMSC), a leading institution dedicated to advancing transportation modeling, education, and training for researchers, students, transportation professionals, and policy makers. Located at CUNY Institute for Transportation Systems, we recognize the evolving demands of transportation systems. Our real-time transport modeling capabilities support a wide range of applications, including traffic forecasting, signal optimization, incident management, security, and more. We also offer comprehensive online education and training programs for students at all levels, professionals, and public entities, ensuring that knowledge and expertise are accessible globally.
At UTMSC, our vision is to revolutionize large-scale transportation modeling by developing innovative tools and technologies that enhance research, education, training, and project implementation. We aim to be a global leader in artificial intelligence-driven transportation planning and management, continuously updating dynamic traffic forecasting models, and providing real-time transportation management solutions.
Our mission encompasses several key objectives:
Develop new tools for research, education, training, and project implementation in large-scale transportation modeling for researchers, students at all levels, transportation professionals, emergency services, consultants, and policy makers.
Harness artificial intelligence for improved traffic flow operations, optimizing transportation management and operations.
Maintain continuously updated network assignment models to accurately simulate and predict transportation dynamics.
Provide real-time transportation management solutions to enhance the efficiency and safety of transportation systems.
UTMSC has a rich history of pioneering advancements in transportation modeling and technology. Since our establishment, we have been at the forefront of developing cutting-edge tools and methodologies to address the complex challenges of modern transportation systems. Our history is marked by a commitment to innovation, collaboration, and excellence in serving the needs of researchers, students, professionals, and decision-makers in the transportation sector. As we continue to evolve and grow, UTMSC remains dedicated to our core mission of driving innovation, enhancing education and training, and contributing to the advancement of transportation science and technology on a global scale.
Welcome to the Universal Transportation Modeling Simulation Center (UTMSC), a leading institution dedicated to advancing transportation modeling, education, and training for researchers, students, transportation professionals, and policy makers. Located at CUNY Institute for Transportation Systems, we recognize the evolving demands of transportation systems. Our real-time transport modeling capabilities support a wide range of applications, including traffic forecasting, signal optimization, incident management, security, and more. We also offer comprehensive online education and training programs for students at all levels, professionals, and public entities, ensuring that knowledge and expertise are accessible globally.
At UTMSC, our vision is to revolutionize large-scale transportation modeling by developing innovative tools and technologies that enhance research, education, training, and project implementation. We aim to be a global leader in artificial intelligence-driven transportation planning and management, continuously updating dynamic traffic forecasting models, and providing real-time transportation management solutions.
Our mission encompasses several key objectives:
Develop new tools for research, education, training, and project implementation in large-scale transportation modeling for researchers, students at all levels, transportation professionals, emergency services, consultants, and policy makers.
Harness artificial intelligence for improved traffic flow operations, optimizing transportation management and operations.
Maintain continuously updated network assignment models to accurately simulate and predict transportation dynamics.
Provide real-time transportation management solutions to enhance the efficiency and safety of transportation systems.
UTMSC has a rich history of pioneering advancements in transportation modeling and technology. Since our establishment, we have been at the forefront of developing cutting-edge tools and methodologies to address the complex challenges of modern transportation systems. Our history is marked by a commitment to innovation, collaboration, and excellence in serving the needs of researchers, students, professionals, and decision-makers in the transportation sector. As we continue to evolve and grow, UTMSC remains dedicated to our core mission of driving innovation, enhancing education and training, and contributing to the advancement of transportation science and technology on a global scale.