Bashir Ashhab Khan is a Lecturer in the Department of Management at North South University. His academic work focuses on quantitative research and analysis, with particular interests in optimization models, macroeconomic policy, and computational approaches to economic decision-making. He is passionate about integrating rigorous mathematical and statistical tools into advancing economic, policy, industry, and social research.
- University of Essex Academic Excellence Scholarship, 2021
- CFA Level I, 2019
- ICAEW Book Prize Award, 2019
- Nottingham Advantage Award, 2019
- University of Nottingham High Achievers Scholarship, 2016
- MSc. in Statistics and Operational Research, University of Essex
Dissertation: Investigating Optimization Models on Macroeconomic Policy. Quantitatively analyzed the Fixed Target and Linear Programming models in shaping post-war macroeconomic policy in the Netherlands, with comparative scenario analysis involving Belgium and Denmark.
- BSc. (Hons.) in Business Economics and Finance, University of Nottingham
- Lecturer, North South University, Department of Management (2023 – Present)
- Social Innovation Lab, BRAC (2017)
Conducted research on social interventions and gathered field insights for pilot prototype design.
Organized inaugural workshops on Human-Centered Design.
Managed event planning for the Frugal Innovation Forum 2017.
- Industry–Academia Collaboration Project, BASF (2017)
Participated in planning and simulation of finance operation migration to BASF Asia-Pacific Service Center.
Proposed improvements to finance modules and standardization practices.
- BUS135: Applied Business Mathematics
- BUS172: Introduction to Statistics
- BUS173: Applied Statistics
- MGT314: Production Management
- Associate Membership with the CFA Society Bangladesh
- Mathematical and Statistical Modeling
- Optimization Models in (Micro & Macro) Economic Policy and Decision-Making
- Cryptocurrency Markets & Volatility Modeling
- Game Theory and Strategic Interaction
- Applied Econometrics
- Operations Research