Aghdas is Post-Doctoral Research Associate at Edinburgh Business School's Centre for Logistics and Sustainability and also Centre of sustainable road freight. She is a fan of Mathematics, particularly data-driven decision-making, operations research, data mining, optimization, agent-based simulation, and statistical analysis.
During her career, she was awarded several research and teaching recognitions for her academic commitment. Her teaching activities consist of a wide range of undergraduate and graduate courses on Sustainable Supply Chain Management, Data mining, Operational Research, Decision Sciences, Research Methods, Information Systems Development, and Management Science. In addition, she has a strong background in developing simulation and optimization tools for network design with applications for transportation procurement, freight distribution, cold chain network and humanitarian services. She has applied academic topics to real-world projects, as well. Overall, her academic training and experience working as a teacher, lecturer, professional researcher, and senior business analyst in industries have prepared her to serve as an effective researcher and supervisor.

AREAS OF INTEREST
- Sustainable Supply Chain Management
- Business Analytics
- Simulation / Optimization
- Transportation and Logistics
- Operations Research under Uncertainty
- Statistics and Data Science

Aghdas Badiee (hw.ac.uk) is an active researcher in ACES project as follows:

Africa Centre of Excellence for Sustainable Cooling and Cold Chain Systems (ACES) - Edinburgh Business School (hw.ac.uk)

QUALIFICATIONS

B.Sc. in Industrial Engineering, System Analysis and Planning, Iran University of Science and Technology (IUST)

M.Sc. in Industrial Engineering – Socio-Economy System Engineering, Optimization and Statistics, IUST

Ph.D. in Industrial Engineering – Socio-Economy System Engineering, Data-Driven Applied Operations Research, IUST

Awards

• Ranked 1st in B.Sc. in 2010
• Ranked 1st in M.Sc. in 2012
• Ranked 1st in Ph.D. in 2019
• Known as a Global talent which endorsed by UKRI in 2022
• Reviewer of annals of operations research Journal (ANOR) from 2021
• Membership of the Iran's National Elites Foundation, 2012-2016
• Membership of WORMS (women in OR/MS) from 2022
   

BACKGROUND

• Visiting researcher in Finland, Tampere University, Faculty of Management and Business (MAB), Unit of Industrial engineering and Management
• Lecturer at the University of Tehran, Faculty of Entrepreneurship
• Lecturer at the University of Tehran, Faculty of IT management
• Lecturer at the University of Science and Technology, Faculty of industrial engineering
• Senior Business Analyst at the National Iranian Oil Product Distribution Company (NIOPDC)
• Data Science Team Manager at NIOPDC