Majid Hosseini, Ph.D., P.Eng. Email & Phone Number

Vancouver, British Columbia, Canada

Vancouver, British Columbia, Canada

• Developed an advanced AI tool using unsupervised clustering to identify key operational levers influencing desired process outcomes, enhancing operational efficiency through targeted insights into similar operational regions.• Designed and deployed an interactive Azure web app using Streamlit for real-time and batch control loop monitoring, automating oversight with accurate reporting of performance and reliability metrics.• Developed and implemented causal maps utilizing process mining, advanced inference techniques, and feature importance analysis as part of explainable AI initiatives to enhance stakeholder engagement.• Enhanced a Bayesian recommendation platform and Key Performance Indicator dashboard by leading a cross-functional team, contributing to substantial business outcomes. • Led the seamless migration of three critical machine learning tools from Google Cloud Platform (GCP) to Microsoft Azure for a major copper production facility, ensuring no user-reported issues through meticulous testing and validation.

Vancouver, British Columbia, Canada

• Enhanced Teck's coal supply chain optimization tool by refining constraints and objective functions, and deploying deterministic solutions through the Gurobi optimizer. This enabled the identification of optimized logistic plans and resulted in a significant reduction in runtime.• Developed and implemented advanced mathematical models for port inventory forecasting, providing technical leadership and ensuring high accuracy and efficiency in inventory management.

Vancouver, Canada Area

• Performed statistical analysis and developed machine learning models to accurately predict the behavior of tailings. Utilized the ML model to build a digital twin, optimizing the dewatering process and improving operational efficiency.• Applied YOLO-based object detection for real-time tracking of bubbles and their average diameter in bubble column experiment, optimizing gas nozzle design.• Engineered time series neural network to generate wildfire risk maps, integrating satellite and ground-based data, achieved superior accuracy over existing indices. • Developed customer churn predictive models for a financial institution, using Recurrent Neural Networks (RNNs) to capture complex temporal patterns.

Calgary, Canada Area

• Designed, coded, and deployed production-level physics-driven models, leveraging strong programming skills, resulting in a 10% increase in licensing revenue.• Led interdepartmental collaboration to design and build user interfaces, enhancing user experience; conducted training workshops for clients with diverse backgrounds

Vancouver, Canada Area

• Developed a novel simulation method for modeling malaria-infected red blood cells to help design and optimize microfluidic devices used as early diagnostic tools • Implemented a new framework for accurate numerical simulation in lab-scale modeling• Optimized the algorithm to increase the speed by 10 folds

Vancouver, Canada Area

• Chaired Website & Publications Committees • Coordinated a team of five to organize events & workshops

Rasht County, Gilan, Iran

• Successfully initiated and managed a start-up company and turned it into a self-sustained small software company with a great software product focused on customer needs• Designed and implemented data-based applications for three hospitals with SQL-Server and VB.Net

Phd, Chemical Engineering

Activities and Societies: Graduate Student Society (GSS) of UBC, Vancouver, Canada, Sports Coordinator

M.Sc., Mechanical Engineering

B.Sc., Mechanical Engineering