Dr. Angel A. Juan was born in Castalla (Alicante, Spain), in 1972. He is an Associate Professor of Quantitative Methods (Simulation, Optimization, & Data Analysis) applied to Logistics, Production, & Computing Systems in the Computer Science Department at the Open University of Catalonia (UOC). He is also a Researcher at the Internet Interdisciplinary Institute (IN3), as well as a frequent Lecturer at the Autonomous University of Barcelona.
Dr. Juan holds a Ph.D. in Applied Computational Mathematics (UNED), an M.S. in Information Systems & Technology (UOC), and an M.S. in Applied Mathematics (University of Valencia). He completed predoctoral internships at Harvard University and at University of Alicante, as well as a postdoctoral internship at the MIT Center for Transportation & Logistics. He has been invited researcher at the University of Southampton (UK), at LAAS-CNRS (France), at the University of Natural Resources and Life Sciences (Austria), and at the University of Portsmouth (UK).
His research interests include applications of Randomized Algorithms and Simheuristics in Logistics, Production, and Internet Computing, as well as Educational Data Analysis & Mathematical e-Learning. He has published over 150 peer-reviewed papers in international journals, books and proceedings regarding these fields (about 30 of them indexed in JCR and over 60 indexed in Scopus). Currently, he is the coordinator of the CYTED ICSO-HAROSA Network and editorial board member of both the Int. J. of Data Analysis Techniques and Strategies and the Int. J. of Information Systems & Social Change. He is also a member of the INFORMS society.
Dr. Juan has been Lecturer in 3 of the top 100-under-50 universities in the Thompson Reuters ranking, and he has been (co-)advisor of PhD/MSc thesis in up to 6 different universities in Spain, Portugal, and UK. He has been accredited as Profesor Titular de Universidad by the ANECA quality assurance agency and also as Professor Agregat by the AQU quality assurance agency.
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“In theory, there is no difference between theory and practice. But, in practice, there is.” Jan L. A. van de Snepscheut
“We use simulation to avoid making Type III errors -working on the wrong model.” David Kelton
“You can have data without information, but you cannot have information without data.”
Daniel K. Moran
“Although this may seem a paradox, all exact science is dominated by the idea of approximation.” Bertrand Russell