Gastvortrag: Towards digital, intelligent and safe airport operations

Abstract: To expedite the growth of the aviation industry, maximising the utilisation of airport infrastructure has emerged as a critical bottleneck. Meanwhile, safety-critical aircraft ground movements events are rare at airports, which prevents airport operators from comprehensive risk assessment. Dr. Wang will first introduce their previous EPSRC project TRANSIT, in which innovative decision support methodologies have been developed for realistic and robust real-time routing and scheduling of aircraft ground movements at airports. Dr. Wang will then introduce their current collaborations with industrial partners towards digital, intelligent, and safe airport operations, focusing on airport airside risk assessment and consequent conflict resolution. 

BIO: Xinwei Wang is a Lecturer (Assistant Professor) at Queen Mary University of London (QMUL), UK. He was a Postdoc at TU Delft, The Netherlands from 2020 to 2022 and at QMUL from 2019 to 2020, respectively. He obtained a PhD degree from Beihang University, China in 2019. Over the years, he has integrated computational intelligence, machine learning, and systems engineering for risk assessment and decision-making in aerospace and transport systems. He is a recipient of the Marie Sklodowska-Curie Actions Co-Fund Fellowship (2022), and IEEE ITSS Young Professionals Travelling Fellowship (2022). He has authored over 40 papers, including those in TR Part C, IEEE T-ITS, IEEE T-SMC, IEEE T-FS, IEEE T-VT, IEEE T-AES, etc.