Miguel Vieira obtained in 2017 his PhD in Leaders for Technical Industries (Engineering Design and Advanced Manufacturing focus area) by the Instituto Superior Técnico in partnership with the Massachusetts Institute of Technology under the MIT Portugal Program. Currently he is an Assistant Professor at the Faculty of Engineering at Lusófona University, Lisbon and Researcher at RCM2+. His main topics of research expertise have been centered in the industrial engineering challenges of applied optimization methods and simulation models to solve supply chain, design, production planning and scheduling problems of complex manufacturing systems. In particular, the main research is focused at developing mathematical programming models (LP, IP, MILP and MINLP), decomposition methods and non-exact approaches to provide optimal solutions to industrial cases, considering both deterministic and stochastic scenarios, with several first-author publications. Current research projects include the risk assessment of process design and planning, dynamic scheduling strategies for decisional tools in the context of Industry 4.0 paradigm and methods for improving solutions of real-world industrial optimization problems. Particular relevance has been given to the efficient use of novel automation technologies in industrial processes, with the development of machine learning algorithms based in deep and reinforcement learning for novel interfaces for human-robot interaction/cooperation in industrial processes and its integration on the decision-support operations to increase flexibility and productivity of production systems. Miguel Vieira is a Visiting Researcher in Instituto Superior Técnico Centro de Estudos de Gestão and Visiting Researcher in Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos. Published 8 articles in journals. Has 11 section(s) of books. Organized 7 event(s). Participated in 2 event(s). Supervised 3 MSc dissertation(s). Has received 6 awards and/or honors. Participates and/or participated as Other in 2 project(s), Post-doc Fellow in 1 project(s) and Researcher in 3 project(s). Works in the area(s) of Social Sciences with emphasis on Economics and Business with emphasis on Industrial Relations, Exact Sciences with emphasis on Computer and Information Sciences, Engineering and Technology with emphasis on Other Engineering and Technologies and Engineering and Technology with emphasis on Chemical Engineering. In their professional activities interacted with 53 collaborator(s) co-authorship of scientific papers. In his curriculum Ciência Vitae the most frequent terms in the context of scientific, technological and artistic-cultural output are: Multipurpose batch plants; Risk assessment; Conditional value-at-risk; Stochastic programming; Augmented e-constraint method; Programação matemática; Otimização; Gestão de Operações e de Cadeias de Abastecimento; Análise de Decisão e de Risco; Avaliação Ambiental e da Sustentabilidade; Empreendedorismo e Inovação; Conditional Value at Risk (CVaR); Effective risk metric; Stochastic parameters; .