Pinky Kumawat

PhD Student - Smart and Sustainable Mobility, Travel Behaviour, Transport data analysis, Machine Learning

PhD Scolarship: Data and Information Extraction from multiple data sources for transport Innovation and Sustainability (Mobility as a Service)
Website: link

Pinky Kumawat is a PhD student in Transport Research for Innovation and Sustainability (TRIS) research group in the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, Italy. Her doctoral research is about the use of data mining, machine learning, and statistical analytical techniques to understand the travel behaviour and mobility patterns of users by collecting and analysing travel data from various available data sources under the supervision of Prof. Cristina Pronello.

She holds a master’s degree in Computer Science and Engineering (CSE) from Rajasthan Technical University, Kota, presenting a thesis entitled “Predicting ERP User Satisfaction by Using Hybrid of ANFIS and KNN Classification Approach” and bachelor’s degree in Computer Science and Engineering (CSE) from Govt. Women Engineering College Ajmer, Rajasthan, India.