Xiaoshu Lü, Associate Professor

Xiaoshu Lü, Associate Professor

Biography

  • Associate Professor, Energy Systems Modeling, VEBIC, University of Vaasa (2019-)
  • Tang Aoqing Professor, College of Construction Engineering, Jilin University, China (2013-)
  • Senior Researcher, Aalto University (2019-)
  • Senior Researcher, Middlesex University, UK (2019-)
  • PhD (DSc), School of Engineering, Helsinki University of Technology (TKK) (2002)
  • MSc, Computational Geometry, Jilin University, China
  • BSc, Department of Computing and Mathematics, Jilin University, China

Previous experience

  • Professor of Practice, Aalto University (2013—2018)
  • Acting Professor, TKK/Aalto University (2012-2013)
  • Senior Researcher, Finnish Institute of Occupational Health (2005-2012)
  • Guest Professor, Jilin University, China (2007-2012)
  • Postdoc, Royal Institute of Technology (KTH), Sweden

Teaching Interests

My teaching goal is to have a positive effect on students’ motivation, confidence, and enthusiasm about research and professional competences. I am also involved in supervision of PhD, MSc, and BSc students. My guidance has resulted in good results, for example several thesis awards from students. My responsible Smart Energy courses are:

  • Modeling and Simulation of Energy Systems
  • Seasonal Energy Storage and Conversion Technologies & Solutions
  • Distributed energy production
  • Heat and Mass Transfer subjects

Current Research Interests

THEORY-ORIENTED RESEARCH
  • Computational modelling and simulation in broad engineering areas including applied physics, computational fluid dynamics, thermodynamics, heat and mass transfer, porous media, chaos and complexity theory, dynamical systems and nonlinear systems
  • Statistical computing including multivariate analysis, time series, longitudinal data analysis, and Bayesian analysis
  • Big Data analytics and computational intelligence including predictive modeling, artificial intelligence, machine learning, data analytics for the Internet of Things (IoT) data and data from other resources.
APPLICATION-ORIENTED RESEARCH (NOT LIMITED TO)
  • Sustainable energy and built environment (e.g. sustainable technologies, energy systems, intelligent buildings, indoor and outdoor environment)
  • Data center energy and resource management
  • Oil recovery, natural gas hydrates and geothermal reservoir engineering
  • Smart cities, smart grid, microgrids and control of renewable energy sources (RES)
  • Smart materials