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Hossein Zolfagharinia

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Associate Professor

Ryerson University

Canada

Research Interests

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About

Hossein Zolfagharinia is an Assistant Professor at Ryerson University in Canada. His research areas include environmental policy, supply chain resilience, machine learning applications in stock-price prediction, and sustainability in various industries. Recent articles authored by him explore topics such as the wellbeing of long-haul truck drivers during the Covid-19 pandemic and innovative inventory management practices.

Recent Grants

Grant: Close

Investigation of Extended Warranty Services: Considering Supply Chain Structures and Consumers' Loyalty in a Competitive Market

Open Date: 2023-04-01

Close Date: 2024-03-31

Grant: Close

Understanding individual and workplace risk factors of slips, trips, and falls among truck drivers in Canada

Open Date: 2023-04-01

Close Date: 2024-03-31

Grant: Close

Quantifying the Benefits of Collaborative Transportation for Logistics Partners

Open Date: 2021-04-01

Close Date: 2022-03-31

Grant: Close

Managing Meat Supply Chains Under Demand and Supply Uncertainty: Working towards Sustainable and Resilient Networks

Open Date: 2021-04-01

Close Date: 2024-03-31

Grant: Close

Interdiction Policies for Illicit Drug Supply Chains: Considering Uncertain Outcomes and Networks with Partial Information

Open Date: 2020-04-01

Close Date: 2022-03-31

Articles (16)

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2027

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2026

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2026

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2026

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (5)

Babak Mohamadpour Tosarkani

The University of British Columbia

CANADA

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Mehdi Najafi

Assistant Professor

University of Windsor

CANADA

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Saman Hassanzadeh Amin

Associate Professor

Ryerson University

CANADA

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Aida Haghighi

Assistant Professor

Ryerson University

CANADA

View details

Hong Yu

Professor

University of Toronto

CANADA

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Hossein Zolfagharinia

Research Interests

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About

Recent Grants

Articles (16)

Interpretable machine learning for risk analysis of truck driver injury severity in fatal collisions

Driving Change in Trucker Safety: A TCCM‐Based Synthesis and Conceptual Framework for Understanding Truck Collision Risks

Navigating the warranty Landscape: Pricing and policy strategies by considering Consumers’ preferences

Enhancing humanitarian logistics under uncertainty: A data-driven distributionally robust optimization approach with worst-case mean-CVaR

Unveiling two decades of environmental policy research trends: topic modeling-based machine learning insights

From imperfection to advantage: Quantifying the benefits of imperfect advance load information for multi-truck carriers

Enhancing supply chain resilience facing partial and complete disruptions: The application in the cooking oil industry

Unleashing the Power of Tweets and News in Stock-Price Prediction Using Machine-Learning Techniques

A Multi-objective integrated approach to address sustainability in a meat supply chain

Steering towards the unknown: The wellbeing of long-haul truck drivers during the Covid-19 pandemic

Routing a mixed fleet of conventional and electric vehicles for urban delivery problems: considering different charging technologies and battery swapping

How much is enough? Government subsidies in supporting green product development

Inventory management practices at a big-box retailer: a case study

A DEA-ANN-based analytical framework to assess and predict the efficiency of Canadian universities in a service supply chain context

No Longer in the Dark: Utilizing Imperfect Advance Load Information for Single-Truck Operators

Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty

Collaborators (5)

Babak Mohamadpour Tosarkani

Mehdi Najafi

Saman Hassanzadeh Amin

Aida Haghighi

Hong Yu

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