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.
• 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.

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.
• 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.
• 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