Ali Yassine

Dr. Yassine's research is based on using Mathematical Modeling (i.e. Optimization, Simulation, and Complex Networks) and Machine Learning (i.e., Regression, Classification, Clustering, Dimensionality Reduction, Topic Modelling (NLP)) techniques (i.e., model-based and data-driven approaches) to:

1. Create systematic methods and associated computer tools to support the design, analysis and improvement of Product Innovation and Development Processes. Research agenda includes managing overlapping & iteration of innovation activities, system decomposition & integration, resource allocation, design process dynamics (i.e. convergence), and product evolution. Application areas are in distributed, collaborative, and crowd-sourced product development projects.

2. Enhance traditional inventory management and production planning models with sustainable and green concerns. Research agenda includes Reserve Stock Models and Carbon Footprint. Application areas are in management of Strategic Oil Reserves (Energy), Emergency Vaccine Stockpiles (healthcare), and Joint Replenishment and Demand Substitution Models (retail).

3. Formulate and solve complex and contemporary Engineering Management problems. Research agenda includes managing Hydrocarbon Assets and Water-Energy-Food Nexus. Application areas are in Water Resources and Energy Management.

Ali Yassine is a leading researcher and educator in the areas of Engineering Design (ED) and Product Development (PD). He is an expert in using Operations Research (OR) and Machine Learning (ML) techniques (i.e., model-based and data-driven approaches) for managing the design and development of complex engineering products / systems.

Prof. Yassine is an Area Editor for Research in Engineering Design (RED), and the Associate Editor for Journal of Engineering Design (JED). He was previously an Associate Editor for the INCOSE Systems Engineering Journal and and IEEE Engineering Management Review (EMR).

Assistant Professor, Department of Industrial & Enterprise Systems Engineering (IESE), University of Illinois at Urbana-Champaign (UIUC), Urbana, Illinois (2002-2008).
Professor, Department of Industrial Engineering & Management, American University of Beirut (AUB), Beirut, Lebanon (2008-2021).

Major consulting applications included supply chain design, project management, product and software development, competitive benchmarking studies, capacity expansion decisions, product introduction decisions, quality audits and certification preparedness. Companies include: Ford (USA), GM (USA), John Deere (USA & India), Nesma Trading (KSA), Zamil Industries (KSA), INDEVCO (Lebanon), and Lebanese Petroleum Administration (Lebanon).

David E. Goldberg, Tian-Li Yu, and Ali A. Yassine, “Methods and Programs for Optimizing Problem Clustering.” US Patent No. 7,280,986. Issued: October 9, 2007.

Dr. Yassine has published over 120 articles, in leading Engineering and Management academic journals and refereed international conferences, covering Product Design & Development, Project & Portfolio Management, Systems & Entrepreneurial Engineering, and Management of Technology & Technological Innovations.

Dr. Yassine has over 6170 Google Scholar citations with an h-index of 38 and i10-index of 68.

Check Google Scholar profile:
https://scholar.google.com/citations?user=vrwZUzYAAAAJ

EM 301 Engineering Accounting & Business Analysis (Undergraduate)
IDE 399 Engineering Economics & Project Management (Undergraduate)
EM 605 Elements of Operations Research (Graduate)
EM 612 Project Management of Complex Systems (Graduate)
EM 624 Informatics for Engineering Management (Graduate)