Dr. Nada Mahmoud : Traffic Safety and Operations

Dr. Nada Mahmoud, Kittelson and Associates, Inc. United States

Dr. Nada Mahmoud is a highly qualified professional with a Ph.D. in Civil Engineering from the University of Central Florida, earned between August 2018 and April 2021. Her research centered on the critical intersection of safety and operations of urban arterials, utilizing the innovative Context Classification System. Currently serving as an Engineering Associate at Kittelson and Associates Inc. since March 2023, Dr. Mahmoud excels as a traffic engineer, specializing in safety analysis, traffic operations, and data analytics. In her role, she actively collaborates with a Safety Review Working Group, which includes Caltrans representatives, to enhance and optimize safety review processes. 🚗🚦👩‍🔬

🎓Education :

Dr. Nada Mahmoud is a distinguished professional, holding a Doctor of Philosophy in Civil Engineering from the University of Central Florida (August 2018 – April 2021). Her doctoral research delved into the critical realm of “Safety and Operations of Urban Arterials Incorporating the Context Classification System.” 🏙️🚗 Additionally, she earned a Master of Science in Civil Engineering from Ain Shams University, Cairo, Egypt (February 2014 – January 2018), focusing on the innovative “Development of a Transit Signal Priority Algorithm for Urban Corridors.” 🚦🚇 Dr. Mahmoud’s academic journey reflects her commitment to advancing transportation engineering with a focus on safety and efficiency. 🎓

🌐 Profile : Google Scholar

🏆 Awards :

Dr. Nada Mahmoud’s commitment to excellence extends beyond her academic achievements, as evidenced by her notable recognitions. In 2021, she earned the SAS Data Mining Certificate from the University of Central Florida, showcasing her expertise in harnessing data for insightful analysis. 📊🎓 Additionally, her dedication to advancing women in transportation was acknowledged in 2020 with the Frankee Hellinger Graduate Scholarship from Women in Transportation in Central Florida. 🚺🛣️ Moreover, Dr. Mahmoud’s impactful contributions were further highlighted by the UCF College of Graduate Studies Presentation Fellowship in the same year, underscoring her commitment to knowledge dissemination and scholarly engagement. 🌟🔍

🧠 Research Interests 🔬🌐 :

Dr. Nada Mahmoud’s intellectual pursuits span a dynamic landscape within the realm of transportation engineering. Her inquisitive mind is deeply immersed in the intricate web of topics such as traffic safety, traffic operations, and the expansive domain of big data. 🚗🚦 Her research journey is marked by a keen interest in unraveling patterns and insights through the application of statistical and machine learning models, showcasing a commitment to leveraging cutting-edge technologies for impactful solutions. 🧠💻 In this rapidly evolving field, Dr. Mahmoud’s exploration extends globally, reflecting a holistic approach to understanding and shaping the future of transportation systems. 🌐🛣️

Google Scholar Metrics:

All Time:
- Citations: 211 📖
- h-index: 9 📊
- i10-index: 7 🔍
Since 2018:
- Citations: 209 📖
- h-index: 8 📊
- i10-index: 7 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1. CitySim: A drone-based vehicle trajectory dataset for safety oriented research and digital twins

Published Year: 2022, Journal/Source: arXiv preprint, Cited By: 46

2. Predicting cycle-level traffic movements at signalized intersections using machine learning models

Published Year: 2021, Journal/Source: Transportation research part C: emerging technologies, Cited By: 42

3. Sequence-to-sequence recurrent graph convolutional networks for traffic estimation and prediction using connected probe vehicle data

Published Year: 2022, Journal/Source: IEEE Transactions on Intelligent Transportation Systems, Cited By: 19

4. Vulnerable road users’ crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification

Published Year: 2021, Journal/Source: Accident Analysis & Prevention, Cited By: 18

5. Estimating cycle-level real-time traffic movements at signalized intersections

Published Year: 2022, Journal/Source: Journal of Intelligent Transportation Systems, Cited By: 17

6. Using CNN-LSTM to predict signal phasing and timing aided by High-Resolution detector data

Published Year: 2022, Journal/Source: Transportation research part C: emerging technologies, Cited By: 11

7. Developing a grouped random parameter beta model to analyze drivers’ speeding behavior on urban and suburban arterials with probe speed data

Published Year: 2021, Journal/Source: Accident Analysis & Prevention, Cited By: 11

8. Freeway crash prediction models with variable speed limit/variable advisory speed

Published Year: 2023, Journal/Source: Journal of transportation engineering, Part A: Systems, Cited By: 9

9. Effect of various speed management strategies on bicycle crashes for urban roads in central Florida

Published Year: 2022, Journal/Source: Transportation research record, Cited By: 9

10. Multivariate Poisson-Lognormal Models for Predicting Peak-Period Crash Frequency of Joint On-Ramp and Merge Segments on Freeways

Published Year: 2023, Journal/Source: Transportation Research Record, Cited By: 6

Mr. Abdallah Kinero : Leading Researcher in Traffic Operations and Safety

Mr. Abdallah Kinero, Florida International University, United States

🌟 Mr. Abdallah Kinero, a distinguished scholar on the path to earning a Ph.D. in Civil Engineering from Florida International University, with an anticipated graduation in Spring 2025. Having completed an MSc. in Civil Engineering at the University of North Florida in December 2021, he has cultivated a comprehensive skill set, showcasing proficiency in tools such as ArcGIS, ERDAS IMAGINE, AutoCAD, HCS, HEC-HMS, and MATLAB. 📚🔧

✨ Since January 2022, Mr. Kinero has been making significant contributions as a Graduate Research Assistant at Florida International University. His research endeavors encompass a broad spectrum, including the critical examination of safety studies, the innovative exploration of hydrogen as a transportation fuel, in-depth analyses of micromobility safety in the dynamic landscape of Florida, and a meticulous study of wrong-way driving events. 🚗💡 His commitment to enhancing transportation safety and sustainability reflects a promising future in the field of civil engineering, marking him as a dedicated researcher and thought leader. 🔬

🌐 Profile: Google Scholar

🔧 Skills:

ArcGIS | ERDAS IMAGINE | AutoCAD | HCS | HEC-HMS | MATLAB | MS Office Suite | Python programming | SIDRA | Vissim | WOLFPACK | R-Programming | Synchro | CORSIM

🏢 Relevant Experience:

Graduate Research Assistant, Florida International University (January 2022 – Present)
- Safety Studies Reviewing.
- Exploring the Use of Hydrogen as a Transportation Fuel.
- Micromobility Safety in Florida.
- Analyzing Wrong-Way Driving Events.
Graduate Research Assistant, University of North Florida (January 2021 – December 2021)
- Analyzing The Impact of Freeways on Urban Growth: Case Study of Florida.
- Intersection Conflict Analysis using Drones and AI data.
- Data Collection and Processing using ArcGIS, ERDAS IMAGINE, MS Excel, and Python Programming.
Graduate Teaching Assistant, University of North Florida (January 2021 – December 2021)
- Assisting in Transportation Engineering and Civil Engineering Geomatics classes.
- Helping Students in ArcGIS Projects.
Highway Graduate Engineer, TARURA, Katavi, Tanzania (November 2019 – December 2020)
- Projects: Developing New Regional Routes in Mpanda-Katavi.
- Responsibilities: Analysis and Design of Horizontal and Vertical Alignments of the Roads. Drafting Drawings Using AutoCAD-Civil3D.

🤝 Professional/Community Involvement:

Attended various conferences and summits related to transportation engineering and safety.
Volunteered in industry meetings and events, showcasing commitment to professional development.
Actively participated in student leadership events and competitions.

🏆 Awards/Certifications:

2022 Traffic Control Device Student Challenge Award Winner.
2022 Equitable SimCity Sandbox Design Competition Winner-Student Category.
2023 Life Savers Scholarship Recipient.

✨ Passions:

Dedicated to advancing transportation safety and infrastructure.
Enthusiastic about exploring innovative solutions in the field of civil engineering.
Committed to continuous learning and community engagement.

🌐 Research Focus :

Abdallah Kinero, an innovative researcher in the field of Traffic Operations and Safety and Transportation Engineering, is at the forefront of shaping the future of transportation through Statistical and Machine Learning Modeling. 🚦🌐

With a keen focus on Traffic Operations and Safety, Abdallah’s research journey navigates the intricacies of optimizing traffic flow and enhancing safety protocols on roadways. 🛣️💡 His expertise lies in integrating Statistical Modeling to unravel the patterns governing traffic behavior, providing valuable insights for the development of more efficient and secure transportation systems. 📊🚗

Publications ( Top Note ) :

1. Modeling injury severity of crashes involving golf carts: A case study of The Villages, Florida

Journal: Traffic Injury Prevention, Published Year: 2023

2. The Rise of Prompt Engineering Jobs: A Review of the Nature of the Job, Qualifications, and Compensations

Published Year : 2023

3. Exploring the Use of Drones for Conducting Traffic Mobility and Safety Studies

Published Year : 2021