Highly Qualified Personnel

Bio

Dr. Foda’s research focuses on system planning for electric mobility, supply chain and logistics, operations management, and data analytics. He is committed to developing sustainable and resilient transportation systems that integrate zero-emission technologies, advancing the future of smart mobility. His work emphasizes analyzing, projecting, planning, and configuring electric mobility systems, including electric vehicles, battery electric buses, hydrogen fuel-cell buses, UAVs for last-mile delivery, and decarbonizing waste collection systems.

Dr. Foda started his postdoctoral fellowship at McMaster University in 2024. He works on multiple projects at the McMaster Institute for Transportation & Logistics (MITL) and Smart Freight Centre (SFC). He holds a Bachelor’s degree in Electronics and Communications Engineering from Mansoura University, Egypt (2012), a Master’s degree in Engineering Mathematics from Mansoura University (2018), and a Ph.D. in Transportation Engineering from McMaster University, Canada (2024).

Dr. Foda authored and co-authored more than 27+ peer-review articles and conference papers, offering innovative contributions to the realization of zero-emission mobility solutions in various applications.

In recognition of his contributions to sustainable transportation, Dr. Foda was awarded the Transport Canada Scholarship in Sustainable Transportation by the Canadian Transportation Research Forum (CTRF).

Bio

Ali’s research focuses on system planning and optimization for electric mobility, operations management, and data analytics. He is committed to developing sustainable and robust transportation systems that integrate zero-emission technologies, advancing the future of smart mobility. His work emphasizes optimizing, projecting, planning, and designing electric mobility systems, including battery electric buses and electric vehicles.

Ali started his Ph.D. program at McMaster University in 2022. He works on multiple projects at the McMaster Institute for Transportation & Logistics (MITL). He holds a Bachelor’s degree in Electrical Power and Machines from Tanta University, Egypt (2014), a Master’s degree in engineering mathematics from Tanta University (2020).

Ali authored and co-authored more than 10+ peer-review articles and conference papers, offering innovative contributions to the realization of zero-emission mobility solutions in various applications.

In recognition of his contributions to sustainable transportation, Ali was awarded the Ron Rice Award for Best Conference Paper at the 2024 Canadian Transportation Research Forum (CTRF).

Bio

Sadia completed both her Bachelor of Engineering (2023) and Master of Applied Science (2025) at McMaster University, specializing in transportation engineering. Sadia’s research under the supervision of Dr. Mohamed focused on evaluating public transit systems under operational, environmental, economic, and accessibility-based performance indicators. She contributed to several research initiatives funded by NRCAN, SSHRC, Statistics Canada, and HSR within MITL. Sadia also served as Graduate Student Representative for ITE McMaster Student Chapter and was awarded McMaster Engineering Ambassador of the Year.

Bio

Sarah is a second-year MASc. student in Transportation Engineering at McMaster University, under the supervision of Professor Moataz Mohamed. Her research focuses on UAV-based last-mile delivery, particularly 3D path planning, route optimization, and sustainable logistics. She completed a one-year internship as a Data Analyst at Don Valley Advanced Solutions in North York, Ontario (2023). She holds a Diploma in Advanced Data Science from Metro College of Technology in Toronto (2022) and a Bachelor’s degree in Electrical Engineering from Al-Azhar University in Egypt (2019).

Bio

Yasser Kashwaa is a PhD student in Civil Engineering at McMaster University. He holds a BSc in Communication Engineering and an MSc in Mathematical Engineering. Yasser has authored several publications in engineering mathematics. He is now focused on public transit systems, exploring sustainable solutions, and planning

Bio

Ahmed Radwan
PhD Student, Computational Science and Engineering Program
McMaster University

Ahmed Radwan is a PhD student in the Computational Science and Engineering program at McMaster University. His research focuses on applying artificial intelligence, data analytics, and computational modeling to solve complex engineering and business problems.

With a foundation in mechatronics engineering and professional experience in data analysis, AI applications, and digital transformation, Ahmed bridges computational methods with real-world implementation. His work explores how simulation, machine learning, and data-driven optimization can enhance decision-making, system performance, and industrial innovation.

Before pursuing his PhD, Ahmed worked as a Business and Data Analyst and Digital Transformation Specialist, supporting organizations in adopting intelligent automation and analytics-driven strategies. He is also a Certified Trainer of Trainers (TOT) and a mentor and instructor in Egypt’s national Digital Egypt Pioneers Initiative, where he trains emerging professionals in data science, AI, and digital skills.

Ahmed’s mission is to connect research with impact — translating computational advances into scalable, sustainable solutions that drive digital transformation across industries.

Areas of Expertise:

• Artificial Intelligence and Machine Learning

• Computational Modeling and Simulation

• Data Analytics and Optimization

• Digital Transformation and Smart Systems

• Engineering and Business Integration

• Training, Mentorship, and Knowledge Transfer

Bio

M.Sc. Candidate, Computational Science & Engineering,
McMaster University