Education & Previous Work Employment

Docent in Atmospheric and Environmental Data Sciences

Awarded on September 2020

University of Helsinki, Finland

• Organisation: Institute for Atmospheric and Earth System Research (INAR)

• Superior: Academician Professor Markku Kulmala

Nanjing University, Nanjing, Jiangsu Province, China

Joint International Research Laboratory of Atmospheric & Earth System Sciences, School of Atmospheric Sciences

Job title: Research Associate Professor (January 2021 - June 2022)

Roles and Responsibilities: 

• Joint appointment with 75% at Nanjing University and 25% at the University of Helsinki.

• Strengthened scientific collaboration between Nanjing University and the University of Helsinki, contributing to preparatory activities prior to the establishment of the Nanjing–Helsinki Institute.

• Conducted scientific research on the development and application of artificial intelligence and machine learning methods in atmospheric and environmental data sciences.

Aalto University, Espoo, Greater Helsinki, Finland (August 2015 - August 2017)

Job title: Post-Doctoral Research Fellow in Aalto Science Institute (AScI) & Centre of Excellence in Computational Nanoscience (COMP)

Roles and Responsibilities: 

• Conducted research on machine learning methodologies for applied physics, with applications in environmental and materials sciences.

• Developed machine learning–based diagnostics and prognostics for engineering systems, including battery health monitoring and bearing fault diagnosis.

• Contributed to teaching activities, intern supervision, and the organisation of scientific workshops and seminars.

Sultan Qaboos University (SQU), Muscat, Sultanate of Oman (Feb 2015 - June 2015)

Job title: Visiting Faculty in Dept. of Mechanical & Industrial Engineering

Roles and Responsibilities: 

• Designed and delivered undergraduate courses in:

  1. 1. Engineering Dynamics

     2. Engineering Systems and Control

• Designed, prepared, and demonstrated automatic control experiments in both simulation and real-time environments.

• Developed hands-on laboratory experiments using MATLAB/Simulink for modelling and control design, as well as real-time control implementations for fluid level and pressure control systems.

University of Maryland at College Park, United States of America (June 2014 - Feb 2015)

Job title: Post-Doctoral Research Associate in Center for Advanced Life Cycle Engineering (CALCE), Dept. of Mechanical Engineering

Roles and Responsibilities:

• Conducted research on machine learning techniques for prognostics and health management (PHM) of engineering systems.

• Developed and delivered course modules for PHM-focused courses in machine learning and intelligent systems, attended by participants from academia, industry, and government agencies.

• Contributed to the development and enhancement of PHM software tools.

The University of Sheffield, United Kingdom

• Job title: Tutor in Mathematics & Statistics Help Centre (MASH) (Jan 2014 - April 2014)

  • Role and Responsibility: 

    • Provided academic support to undergraduate and postgraduate students in mathematics and statistics.

• Job title: Tutor & Laboratory Demonstrator (Sept 2009 - Mar 2014)

  • Roles and Responsibilities: 

    • Delivered tutorials and assisted laboratory sessions for undergraduate and postgraduate students within the Faculty of Engineering.

    • Contributed to teaching in the following modules: (i) Foundations of control systems, (ii) Modelling, simulation and control, (iii) Control systems analysis and design, (iv) Systems laboratory and design.

• Job title: Student Mentor (May 2012 - Sept 2012) 

  • Role and Responsibility: Supervised an MSc (Control Systems) student project titled: “Application of Kalman Filtering for Prognostic Health Monitoring of a Gas Turbine Engine.”

• Job title: Research Assistant (Oct 2009 - Aug 2010)

  • Role and Responsibility: Conducted research in intelligent control and system modelling with applications in aerospace and biomedical engineering.