CHEN Yi Ting

CHEN Yi Ting is an Associate Professor of Computer Science in the Department of Operations, Information and Decisions at MBS in France. She holds adjunct professorships at Texas Tech University (USA) and National Cheng Kung University (Taiwan), and collaborates with the Karlsruhe Institute of Technology (Germany). As a co-founder of three AI companies in Asia and Europe, she bridges academia and industry, specializing in AI and IoT applications for operational optimization. Her research interests include smart cities, transportation, energy, telecommunications, and agriculture.

Education:

• BSc, MSc, and PhD in Computer Science from National Chiao Tung University (Taiwan)

Research Focus: Leveraging AI and IoT to enhance operational efficiency in sectors like smart cities, energy systems, and agricultural monitoring. Key themes include digital twin technology, predictive analytics, and sustainable business practices. Recent work emphasizes transportation logistics, customer engagement analytics, and econometric risk modeling.

Articles Trends: Publications span predictive modeling for travel time, IoT-driven agriculture, and fintech applications. Notable contributions include frameworks for freight logistics optimization and machine learning approaches to energy demand forecasting.

Awards: No explicit awards listed in the provided text.

Advising & Grants: No student advisees listed. Collaborations include partnerships with industry and academic institutions, though specific grant details are not provided.

Labs/Teams: Engaged with cross-disciplinary teams at MBS and partner institutions, focusing on AI-driven solutions for operational challenges.