Our core team combines operations research, artificial intelligence, product thinking, supply-chain expertise and applied analytics—bringing academic rigor to decisions that need to work in the real world.
To be a leading center of excellence in computational optimization and smart transformation, driving innovation and sustainable growth for businesses and industries through cutting-edge research, impactful consulting and collaborative partnerships.
To provide expert guidance and innovative solutions that help organizations improve competitiveness, align intelligent technology with strategy and create a culture of continuous improvement.
Assistant Professor of Industrial Engineering at the University of Tehran, specializing in operations research, supply chains, business optimization, industrial automation and smart factories.
Babak Javadi earned his PhD in Industrial Engineering from the University of Tehran in 2013 and has served its Department of Industrial Engineering, College of Farabi, since 2016.
He was a visiting scholar at the University of Groningen and collaborated with EATON's Research & Development section in Hengelo, the Netherlands. His research has appeared in journals including the International Journal of Production Research, Engineering Optimization, Applied Soft Computing and Applied Mathematical Modelling.
Alongside his academic work, he brings two decades of experience across industrial and service organizations. He is Director of the Computational Optimization and Smart Transformation Laboratory.
AI Scientist with a background in industrial engineering and systems optimization, working at the intersection of artificial intelligence, data science, product management and business strategy.
Soroush Yousefi holds a Master's degree in Industrial Engineering, specializing in Systems Optimization, from the University of Tehran.
His work connects AI research with intelligent product and business applications. He focuses on applied artificial intelligence, data-informed decision making, innovation, Agile ways of working and strategies that help organizations turn emerging technology into measurable value.
Researcher and data analyst focused on sustainable supply chains, multi-objective optimization, machine learning, demand forecasting and analytical decision support.
Mohammadreza Abdali holds a Master's degree in Industrial Engineering with a specialization in Logistics and Supply Chain from the University of Tehran.
In 2024, he was selected as a top researcher at the University of Tehran. His project experience includes demand forecasting and fuel-station location planning for the National Iranian Oil Products Distribution Company. He also serves as Head of International Trade and Exports.
Mathematical rigor to model constraints, alternatives and the best achievable outcomes.
AI and analytics that transform data into predictions, recommendations and adaptive tools.
Product, strategy and organizational methods that move research into day-to-day practice.
Consulting can accelerate progress when the question is framed well. Bring us the challenge; we will help structure the decision, the evidence and the path forward.
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