NYU Abu Dhabi Researcher Co-Develops New Tool to Help Predict and Manage Traffic Flow

In a new study titled Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year, NYUAD Associate Professor of Civil and Urban Engineering and Director of the CITIES Research Center Monica Menendez —along with co-authors Lukas Ambühl and Allister Loder of Institute for Transport Planning and Systems, ETH Zurich; and Ludovic Leclercq, of Universite Gustave Eiffel, Universite de Lyon — explain how they used one year of high-resolution traffic data for Zurich and Lucerne, Switzerland to demonstrate that any daily traffic pattern observed during that year falls within a few representative patterns.

In Arabic it has secured coverage in Al Khaleej, Al Ittihad, Al Roeya, Al Watan, Al Wahda, and Al Fajr (attached) and online in:
WAMAl IttihadAl KhaleejAl RoeyaAl FajrUAE NewsHeadtopicsUrduPoint,

In English, it has secured online coverage in:
Khaleej TimesMena FNZawya 1, Zawya 2, Zawya 3, AD Education GuideMSNG NewsOne News PageFlipboard.

Examining Neighborhood Isolation During the COVID-19 Pandemic

CITIES’ Postdoctoral researcher – Thomas William Marlow is giving an invited talk for a group called Placekey about research that he, prof. Kinga Reka Makovi & prof. Bruno Abrahao have been working on.

They use daily mobility data to understand changes in neighborhood isolation in cities during the COVID-19 pandemic.

Join this talk on Tuesday, June 8 from 10:00 AM – 10:45 AM PT.
See the registration link with a brief description here:

https://lnkd.in/dNW_iap.

ASCE@NYUAD Future CITIES Competition – Final Presentation

Yesterday concluded the 1st ASCE@NYUAD Future CITIES Competition organized by the ASCE@NYUAD student chapter in collaboration with the Center for Interacting Urban Networks (CITIES) and the Department of Municipalities and Transport (DMT). In coordination with the DMT, led by Maha AlDhaheri and her team, over 120 New York University Abu Dhabi undergraduate students in 32 teams reimagined and prepared cities of the Abu Dhabi Emirate for future changes, and proposed innovative and ingenious solutions to tackle different future scenarios. Students from the winning team will be getting a research internship at CITIES and other prizes.

CONGRATULATIONS to the four winning teams!!

ASCE @ NYUAD Competition

The ASCE@NYUAD student chapter, in collaboration with CITIES and the Department of Municipalities and Transport (DMT), organized the ASCE@NYUAD Future CITIES Competition during Spring 2021. Through this competition, different teams reimagined and prepared cities of the Abu Dhabi Emirate for future changes, and proposed innovative and ingenious solutions to prepare Abu Dhabi to tackle different future scenarios. For a detailed summary of the competition, read more.

Continue reading “ASCE @ NYUAD Competition”

CITIES/Cranmore Press Release

The “NYU Abu Dhabi’s CITIES  research center joins forces with Cranmore Partners to fund research that tackles critical, local, and global issues” press release was sent out to the media on Monday April 12.

In Arabic the story secured coverage in Al Wahda, and online in:

WAMAl Roeya,  ZawyaAl WatanUAE NewsMsar News, and  Urdu Point.

In English, the news secured coverage online in:

WAMZawya 1, Zawya 2, Education UAEEmirati News, and Urdu Point.

CITIES and CCS Research Program Collaboration

The Center for Interacting Urban Networks (CITIES) and the Center for Cyber Security (CCS) at NYUAD  jointly activated two new interdisciplinary research projects at the crossroads of both centers. 

Assessing the threat levels of misinformation campaigns
Led by Christina Pöpper

This research aims to build a Machine Learning based framework that assesses the threat level of misinformation campaigns for societies. Misinformation campaigns are a modern form of information warfare. The research focuses on assessing the threat levels to prioritize the attention of mitigating agencies on campaigns that may pose more significant threats to civil society. This is a timely goal in the current political atmosphere and the age of information flooding, where misinformation is targeting key global vaccination campaigns such as that against COVID-19.

Stealthy attacks on autonomous vehicle-based control systems and their defenses 
Led by Muhammad Shafique

This research aims to investigate attacks and defenses for the machine learning modules in connected and automated vehicles (CAV). With increased automation comes increased vulnerability to cyber-attacks that can hack a vehicle’s electronic systems. Researchers have demonstrated an ability to take over a vehicle’s electronic systems and cause crashes. The research focuses on a new type of attacks on the deep neural networks of CAV, the so-called Backdoored Neural Networks, that only behave maliciously when triggered by specific inputs and on the relevant mitigation strategies.