Board

Stefano Odorizzi Stefano Odorizzi
Chief Executive Officer
Stefano graduated in Civil Engineering in 1973, and worked as a researcher at the University of Padova since 1976, where since 1984 he been in charge of the research activities in the area of CAE, iDP and related disciplines. Before being the CEO of Reactive Search, he was and still is CEO of EnginSoft (a laboratory for technology transfer to the industry in the CAE sector which started in 1984, acknowledged by the Ministry of University and Research)
Stefano’s research was dedicated to basics in FE and simulation technologies. More recently, the research focus is more on manufacturing process simulation and on multi-objective and multi-disciplinary optimization as well as MCDM and IT-related problems. He was and is research project leader of a variety of projects funded by the European Commission, or by other Agencies/Bodies, including COMETT, CRAFT, BRITE-EURAM, MURST, EU-RTD.
He is the founder and general manager of the TCN consortium, co-founder and former first president of of NAFEMS Italy, prime proposer and/or scientific co-coordinator of a variety of pilot projects (including 5 EC Leonardo da Vinci), technology partner of the MOPLE EC funded IT project for long-distance education, organizers of international conferences (from the ‘first international conference on microcomputers in engineering’ in 1984, to the ‘TCN-CAE International Conference on CAE and computational technologies for industries’), editor of a number of primers.
The professional experience is mainly related to the role covered in EnginSoft, and currently to the activities in the Reactive Search company.
Roberto Battiti Roberto Battiti
Chief Technology Officer and Head of the Scientific Advisory Board
Roberto is best known for his seminal work on Reactive Search Optimization (RSO), a methodology for integrating machine learning and neural network techniques into stochastic local search heuristics for solving complex optimization problems. His methods have been widely used by industry to solve challenging problems like knapsack, quadratic assignment, graph problems related to clustering and partitioning, vehicle routing and dispatching, power distribution, industrial production and delivery, telecommunications, industrial and architectural design, biology. He is a full professor of Computer Science at Dipartimento di Ingegneria e Scienza dell'Informazione Università di Trento, Italy. He is a Fellow of the IEEE.
Mauro Brunato Mauro Brunato
Chief Software Architect
Mauro is assistant professor at the Department of Information Engineering and Computer Science of the University of Trento (Italy). He received the Ph.D. in Mathematics at the University of Trento in 1999 with a research thesis on optimization techniques for resource allocation in cellular networks. His main research interests are now in heuristics, Reactive Search Optimization, web mining, clustering and interactive visualization.

Scientific Advisory Board

Reactive Search vision is to create successful products and services from ideas fermented in top-level research groups. This is why we asked some of our academic and industrial contacts in diverse areas to participate in an advisory network to provide feedback about our initiatives and identify new opportunities.
Fred Glover Fred Glover
OptTek Systems, Inc.
Boulder, USA
Fred Glover is the Chief Technology Officer in charge of algorithmic design and strategic planning initiatives for OptTek Systems, Inc. He also holds the title of Distinguished Professor at the University of Colorado, Boulder. He is widely known for his work in the applications of computer decision support systems, including industrial planning, financial analysis, systems design, energy and natural resources planning, logistics, transportation and large-scale allocation models. He is also the originator of Tabu Search (Adaptive Memory Programming). He is the recipient of the highest honor of the Institute of Operations Research and Management Science, the von Neumann Theory Prize, and is an elected member of the National Academy of Engineering.
Nathan Brixius Nathan Brixius
Nielsen Marketing Analytics
Chicago, USA
Nathan Brixius is Vice President - Optimization at Nielsen Marketing Analytics. Previously he led the Microsoft Solver Foundation group. Nathan received his Ph.D. from the University of Iowa, specializing in distributed computing approaches for large combinatorial optimization models. In 2000, Nate won the University of Iowa prize for outstanding dissertation, and was a CGS/UMI (national) Outstanding Dissertation Finalist. In 2002, Nathan and colleagues were awarded the SIAM Activity Group on Optimization Prize for "Solving Large Quadratic Assignment Problems on Computational Grids".
Xin Yao Xin Yao
Director, Centre of Excellence for Research in Computational Intelligence and Applications
University of Birmingham, UK
Xin is the Director of the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA). He is also a Fellow of IEEE, a Distinguished Lecturer of the IEEE Computational Intelligence Society, and a Distinguished Visiting Professor at the Nature Inspired Computation and Applications Laboratory (NICAL) of University of Science and Technology of China, Hefei, China. His research interests include evolutionary computation (evolutionary optimization, evolutionary learning, evolutionary design), neural network ensembles and multiple classifiers (especially on the diversity issue), meta-heuristic algorithms, data mining, computational complexity of evolutionary algorithms, and various real-world applications.
Holger Hoos Holger Hoos
Computer Science Department
University of British Columbia, Canada
Holger H. Hoos is an Associate Professor at the Computer Science Department of the University of British Columbia (Canada). His main research areas span empirical algorithmics, artificial intelligence, bioinformatics and computer music, and he is one of the world's leading experts on stochastic local search methods and on the automated design of high-performance algorithms. He is a co-author of the book "Stochastic Local Search: Foundations and Applications", and his research has been published in numerous book chapters, journals, and at major conferences in artificial intelligence, operations research, molecular biology and computer music. Holger is a Faculty Associate of the Peter Wall Institute for Advanced Studies and currently serves as President of the Canadian Artificial Intelligence Association (CAIAC). (For further information, see Holger's web page at http://www.cs.ubc.ca/~hoos .)
Pablo Moscato Pablo Moscato
Centre for Bioinformatics, Biomarker discovery and Information-based medicine
University of Newcastle, Australia
Pablo's current research interests are Computational Systems Biology in Health and Disease - Reverse Engineering of biological systems - Applied Computer Science - Application and development of state-of-the-art mathematical models and computer algorithms for the most challenging problems in biology and biotechnology research with emphasis on uncovering the molecular basis of different cellular phenotypes and diseases.
He pioneered the field of "memetic algorithms", his work in heuristic optimization has translated into a large number of applications in Computer Science, Operations Research (production planning, management science), Finance and Economics, Civil Engineering, Physics and Chemistry, Bioinformatics Complete Curriculum Vitae
Raffaele Giancarlo Raffaele Giancarlo
Department of Mathematics, Computer Science Section
Università di Palermo, Italy
Raffaele's research interests include Algorithms and Data Structures, Bioinformatics, Speech Processing, Automata and their Applications. He has a successful track of collaborations with international institutions like AT\&T Reseach; Bell Labs; Max Planck Institut, Berlin; INRIA; CNRS; Univ. Marne-la-Vallee.
Roberto Franzosi Roberto Franzosi
Department of Sociology
Emory University, USA
Roberto's general research areas are: political sociology, media, culture, sociology of science, historical sociology, methodology. His current research covers rhetorical foundations of social science quantitative work; the rise of Italian fascism; ways of quantifying text beyond narrative and content analysis; visualization of social networks derived from quantitative sociological analysis.
Youssef Hamadi Youssef Hamadi
Constraint Reasoning Group
Microsoft Research Cambridge, UK
Youssef is leading the Constraint Reasoning Group in Microsoft Research Cambridge (MSRC) and co-leading the Adaptive Combinatorial Search for e-Science project in the MSR/INRIA joint-lab, near Paris. Additionally, he is co-leading the Optimisation for Sustainable Development project at Ecole Polytechnique. His research interests include combinatorial optimization in alternative frameworks: Parallel, and Distributed architectures. He is also interested in the application of Machine Learning to Search. My current focus is on Autonomous Search, and Parallel Propositional Satisfiability.
Christian Blum Christian Blum
Dept. Llenguatges i Sistemes Informátics
Universitat Politècnica de Catalunya, Spain
Christian's practical side of work is mainly focused on metaheuristic methods to solve combinatorial optimization problems arising, for example, in telecommunications or in the context of scheduling. On the theoretical side, he is especially interested in improving our understanding of algorithm behavior. His main contributions are concerning the meta-heuristic ant colony optimization (ACO).
Qingfu Zhang Qingfu Zhang
School of Computer Science and Electronic Engineering
University of Essex, UK
Qingfu is a Professor of Computer Science in University of Essex. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. MOEA/D, a multi-objective optimization algorithm developed in his group, won the Unconstrained Multiobjective Optimization Algorithm Competition at the Congress of Evolutionary Computation 2009, and was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award.