Full Professor at University of Porto | Portugal
Dalila Benedita Machado Martins Fontes is a highly accomplished academic and researcher specializing in operations, logistics, and management sciences. She is a Full Professor at the School of Economics and Management, Universidade do Porto, and Director of the Executive Master in Retail Operations Management. Her research contributions span optimization, decision support systems, and advanced scheduling methods. With a strong international background, Dalila has held visiting professorships in renowned institutions and actively contributes to multiple academic boards. She has an extensive record of funded projects, industry collaborations, and leadership roles, reflecting her expertise and commitment to academic excellence.
Professional Profile
Google Scholar | Scopus
Education
Dalila holds a Habilitation in Management Sciences from Universidade do Porto and a PhD from Imperial College Business School, London. She earned a Master’s degree in Operational Research from the London School of Economics and a Master of Engineering in Electrical Engineering and Computer Science from Universidade do Porto. This strong educational foundation has shaped her expertise in optimization and decision-making sciences. Her studies were supported by prestigious grants and partnerships, highlighting her academic excellence and dedication. Her educational journey demonstrates a commitment to interdisciplinary learning, integrating mathematics, engineering, and management to address complex operational challenges globally.
Professional Experience
Dalila has an extensive career in academia, combining teaching, leadership, and research. She has been Vice-Dean of the School of Economics and Management and is an active board member of INESC TEC-LIAAD and other academic councils. Dalila’s teaching portfolio spans undergraduate, master’s, and doctoral programs across Portuguese and international institutions, including Texas A&M and the University of Florida. She has contributed to multiple funded projects, advised numerous graduate students, and collaborated with industry partners to create innovative optimization solutions. Her leadership roles and board memberships demonstrate her influence in shaping academic programs and fostering international collaborations.
Research Interest
Dalila’s research interests focus on optimization, decision support systems, and scheduling in operations and logistics. Her work emphasizes mathematical modeling and heuristic approaches for complex decision-making processes in manufacturing, transport, and energy systems. She has led and contributed to high-impact research projects supported by European and Portuguese funding agencies, reflecting her expertise in interdisciplinary applications of optimization. Dalila’s research integrates theoretical advancements with practical implementations, bridging academia and industry. She continues to explore cutting-edge AI and machine learning applications to enhance production, logistics, and resource management, making her a prominent figure in global operational research.
Award And Honor
Dalila has received numerous accolades for her academic excellence, research impact, and contributions to operational research. Her recognitions include the FEP Research Award, Wiley Top Cited Article Award, and INESC TEC Research Awards. She earned sabbatical grants from the Portuguese Foundation for Science and Technology, demonstrating her recognized expertise. Dalila’s PhD studies were supported by grants from the Engineering and Physical Sciences Research Council, Gulbenkian, and Imperial College Business School, showcasing her early achievements. These awards reflect her international reputation, leadership, and innovation in research. Her consistent recognition underscores her enduring contributions to academia and industry.
Research Skill
Dalila possesses strong skills in optimization, scheduling, simulation, and decision support systems. She is proficient in developing mathematical models and heuristic algorithms, particularly for production, logistics, and energy applications. Her expertise extends to AI and machine learning-based solutions, as demonstrated in projects like PROD-AI and KEFCODE. Dalila’s collaborative work with industry highlights her ability to translate theoretical methods into practical tools. She also excels in supervising and mentoring graduate students, contributing to talent development. Her editorial roles in top journals reflect her credibility and leadership in the research community. Dalila’s skillset blends academic rigor with real-world problem-solving.
Publications
Dalila has an extensive portfolio of high-impact publications in international journals, including the European Journal of Operational Research, International Transactions in Operational Research, and the Journal of Global Optimization. Her works often address scheduling, optimization, and decision-making challenges in industrial contexts, combining theory with practical application. Dalila has co-authored with researchers worldwide, strengthening her global research network. Her contributions have been recognized as top-cited, demonstrating significant academic influence. She has also participated in collaborative research projects, producing advancements in logistics, energy optimization, and AI-driven systems. Dalila’s publications represent her dedication to advancing operational research globally.
Title: Production and transport scheduling in flexible job shop manufacturing systems
Authors: SM Homayouni, DBMM Fontes
Journal: Journal of Global Optimization 79 (2), 463-502, 2021
Title: A multistart biased random key genetic algorithm for the flexible job shop scheduling problem with transportation
Authors: SM Homayouni, DBMM Fontes, JF Gonçalves
Journal: International Transactions in Operational Research 30 (2), 688-716, 2023
Title: A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
Authors: M Fathi, V Rodríguez, DBMM Fontes, MJ Alvarez
Journal: International Journal of Production Research 54 (3), 878-893, 2016
Title: Fixed versus flexible production systems: A real options analysis
Authors: DBMM Fontes
Journal: European Journal of Operational Research 188 (1), 169-184, 2008
Title: Assembly line balancing problem: A comparative evaluation of heuristics and a computational assessment of objectives
Authors: M Fathi, DBMM Fontes, M Urenda Moris, M Ghobakhloo
Journal: Journal of Modelling in Management 13 (2), 455-474, 2018
Conclusion
Dalila Benedita Machado Martins Fontes is a distinguished academic and research leader whose work bridges optimization theory and practical applications. Her extensive academic qualifications, leadership roles, and industry collaborations showcase her ability to drive innovation. Dalila’s numerous awards and publications reflect her impact in the field of operational research, particularly in logistics, scheduling, and decision-making systems. She has influenced international research communities through teaching, supervision, and editorial responsibilities. Her career reflects an enduring commitment to advancing knowledge, empowering students, and solving complex operational challenges. Dalila stands out as a prominent figure in her discipline.