Dr. Arash is a ScienceDocs consultant specializing in operations research, large-scale optimization, and decision support systems. He helps clients design and implement advanced mathematical models, machine learning-enhanced solutions, and data-driven strategies that solve complex last-mile delivery and supply chain challenges with measurable improvements in efficiency, cost, and environmental performance.

Services:

• Mathematical programming and decision support system development
• Hybrid truck-multi-drone routing and collaborative logistics modeling
• Stochastic and robust optimization under uncertainty
• Machine learning integration (neural networks, predictive analytics)
• Environmental research and pollution-aware routing optimization
• Multi-objective optimization balancing cost, time, emissions, and reliability
• Simulation modeling, data pipelines, and interactive visualization dashboards

Experience: In addition to consulting with ScienceDocs, Dr. Arash brings extensive research and applied optimization experience from his doctoral and master’s-level work. He earned his PhD in Industrial and Systems Engineering from the University of Missouri (Mizzou), where he was named the Outstanding Doctoral Student in the ISE department. He also served as Entrepreneurial Lead in the prestigious NSF I-Corps program and participated in the NSF International Research Experiences for Students (IRES) program focused on environmentally aware hybrid delivery technologies.

His research centers on environmental research and sustainable logistics, including the development of collaborative truck-multi-drone pollution routing frameworks that minimize operational costs while reducing emissions under variable speeds and real-world constraints. During his master’s studies he applied machine learning techniques (neural networks) and stochastic methods across diverse sectors including manufacturing (CO₂ laser cutting optimization), energy systems (optimal power plant selection), and industrial safety (HSE risk prioritization), demonstrating his versatility in building robust decision support systems.

Dr. Arash has published in leading operations research journals such as International Journal of Production Research, Annals of Operations Research, Expert Systems with Applications, and Journal of Cleaner Production. He co-created RoutePEARL, a cloud-based route

planning platform for electric truck and emerging aerial vehicle fleets, which was validated through more than 100 industry interviews with big logistics companies. His work consistently translates rigorous theory into practical, production-ready solutions.

To collaborate with Optimization Engineering Consultant Dr. Arash, please visit our quote page and request him by name. He looks forward to helping organizations harness the power of advanced optimization, machine learning, and environmental research to achieve cost-efficient, reliable, and sustainable logistics.