Phd in INFRASTRUCTURES AND TRANSPORT

Research: Data-Driven and Machine Learning Approaches for Transport Planning and Management

Ken Koshy Varghese is a transportation engineer and machine learning specialist with a focus on data-driven solutions for urban mobility, demand prediction, and road safety. With a Master’s degree in Transportation Systems Engineering from Sapienza University of Rome and a PhD in Transportation Engineering from Sapienza University of Rome, Ken has dedicated his academic and professional career to leveraging machine learning and data analytics for smarter, safer transportation systems.

His doctoral research explores applications of machine learning in transport planning and management, particularly focusing on accident severity prediction, demand forecasting, and network optimization. In addition to his academic pursuits, he has hands-on experience developing predictive models and visualization platforms that assist transport authorities in decision-making.

Combining his expertise in transportation with technical proficiency in software development, he has created web applications that integrate accident severity models, interactive data visualizations, and traffic analysis, offering comprehensive tools for urban planners and policymakers aiming to enhance urban mobility and safety.