Optimization Engineer Dr. Hossein is a ScienceDocs Consultant with deep expertise in mathematical optimization, operations research, advanced analytics, and decision-support software development. He brings a strong combination of industry and academic experience to technical consulting engagements, with a track record of translating complex analytical problems into practical, high-impact solutions for real-world applications. His work spans optimization modeling, stochastic and multi-objective optimization, heuristic methods, predictive analytics, and the development of scalable decision systems.

Dr. Hossein has worked across supply chain design, operational planning, production planning, scheduling, and intelligent automation. He has developed cloud-based optimization and decision-support applications, built mathematical models for business-specific applications, and designed solution frameworks that bridge rigorous analytical methods with practical implementation. His technical toolkit includes Python, Pyomo, AIMMS, a range of open-source and commercial optimization solvers such as Gurobi and CPLEX, as well as statistical and machine learning tools.

His professional and research background includes optimization projects in supply chain operations, production systems, scheduling, forecasting, and logistics network design. He has also contributed extensively to academic research in optimization and analytics, with publications that have received more than 1,000 citations on Google Scholar. He holds a PhD in Civil and Environmental Engineering from the University of New South Wales (UNSW Sydney), with a minor in Operations Research, along with graduate training in Industrial Engineering. He also holds the Project Management Professional (PMP) credential.

Areas of expertise include:

• Analytical modeling and end-to-end design, development, implementation, and deployment of optimization and decision-support software solutions across on-premise and web-based environments
• Mathematical optimization and mixed-integer linear programming (MILP) modeling
• Stochastic optimization and scenario-based modeling
• Multi-objective optimization
• Heuristic and metaheuristic algorithm design
• Supply chain optimization and network design
• Production planning and inventory optimization
• Resource-constrained project scheduling
• Predictive analytics and statistical modeling

See the Supply Chain Network Optimization Case Study performed by Dr. Hossein

To work with Senior Optimization Engineer Dr. Hossein, please visit our quote page and request him in the description area.