Fatemeh Navazi
PhD Student (She/Her)
ACADEMIC AREA
Information Systems
AREAS OF EXPERTISE
Big Data Analytics, Machine Learning & Meta-heuristic Algorithms, Health Care Analytics, Optimization
SUPERVISOR(S)
Prof. Yuan & Prof. Archer
OFFICE
A210
Biography
PhD of Business Administration, DeGroote School of Business, McMaster University (2020-Now)
Master of Industrial Engineering- Systems Optimization, University of Tehran, Tehran, Iran (2018)
Bachelor of Industrial Engineering, Alzahra University, Tehran, Iran (2016)
Experience:
Sessional MBA instructor (Fall 2024)
MBA Teaching Assistant (Winter 2021-Now)
Logistics & Operations Manager (Nov 2018-2020)
On the News:
Winner of “Student Business Challenge Award” for Commercialization of Research, March 2024
Winner of “DeGroote International Graduate Student Scholarship”, November 2023
Publications
I have a lot ! Check my Google scholar.
Most recent papers:
- An examination of the hybrid meta-heuristic machine learning algorithms for early diagnosis of type II diabetes using big data feature selection
- The effect of the Ontario stay-at-home order on Covid-19 third wave infections including vaccination considerations: An interrupted time series analysis
- Calculating the Effectiveness of COVID-19 Non-Pharmaceutical Interventions with Interrupted Time Series Analysis via Clustering-Based Counterfactual Country
- Hybrid wind-municipal solid waste biomass power plant location selection considering waste collection problem: a case study
- A sustainable closed-loop location-routing-inventory problem for perishable products
&
- “Measuring compliance with Covid-19 non-pharmaceutical interventions by data fusion from Google”, 2024 Americas Conference on Information Systems (AMCIS), Salt Lake City, Utah, USA. [Link]
- “Developing An Evidence-based Decision Support System For Pandemic Control Policy Making: Covid-19 Case Study”, 2023 INFORMS International HealthCare Conference, Toronto, ON, Canada.
- “Optimizing Covid-19 Pandemic Control Policies via Meta-heuristic and Reinforcement Learning Algorithms Trained on Covid-19 Big Data Sets”, 2022 INFORMS International Conference, Vancouver, BC, Canada.