Manuel Chica is Ramon y Cajal Senior Researcher (RYC-2016-19800), granted by the Spanish Government, at the University of Granada (Computer Science and AI Deparment). He is also Chief AI Officer at ZIO Analytics and Conjoint Lecturer at the University of Newcastle, Australia.
His current research interests include agent-based modeling, evolutionary game theory, single and multi-objective evolutionary optimization, data science, and complex systems. His research is mainly applied and has been applied to a diverse range of fields: from industrial engineering and marketing, to healthcare systems and climate change.
PhD in Artificial Intelligence and Computer Science (cum laude), 2011
University of Granada
Master in Soft Computing and Intelligent Systems, 2009
University of Granada
MEng in Computer Science, 2006
University of Jaen
BSc in Computing Engineering (Management), 2004
University of Jaen
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Ant Colony Optimization (ACO) and Genetic Algorithms to solve the Time and Space Assembly Line Balancing Problem (TSALBP).
A cutting-edge Web application for marketing using agent-based modeling and AI
The aim of FP7 TOXDTECT project is to develop an intelligent packaging solution for fresh bovine meat products. The technology is based on the identification of specific volatile organic compounds (VOCs) produced inside the packaging during microorganisms’ growth. The signal coming from the interaction between VOCs and polymer inks is recorded by an external device where data are processed. A predictive software based on data mining correlates the sensors signal with the remaining shelf-life of meat (i.e., number of days during which meat is still safe to be consumed).
A decision support system based on computational intelligence and system dynamics for branding and marketing
A European project funded by the European Commission 7th Framework Program. The objective of the Apifresh project is to provide European beekeepers with the scientific and technological aids necessary to improve the quality of European pollen and royal jelly and also to promote the regulatory means that will allow European bee products compete under fair conditions against lower quality or adulterated products.
This FP7 for SMEs project was developed in Inspiralia to create a medical device which automatically recognizes patient’s intentions. Manuel led the intelligent system based on neural networks to identify the patient’s movements
_volume XX YY _ Impact factor: 9.083. Journal rank: Q1, 9/137 (Computer Science, Artificial Intelligence)
volume 377 (15) 125090 Impact factor: 3.472. Journal rank: Q1, 7/260 (Mathematics - Applied)
volume 22 (6) 866-878 Impact factor: 8.508. Journal rank: Q1, 3/104 (Computer Science - Theory & Methods)
volume 54 (5) 752-767 Impact factor: 3.9. Journal rank: Q1, 25/140 (Business)
volume 58 55-68 Impact factor: 4.029. Journal rank: Q1, 2/83 (OR - Management Science)
volume 180 (18) 3465-3487 Impact factor: 2.833. Journal rank: Q1, 9/126 (Computer Science - Intelligent Systems)
_volume XX YY _ Impact factor: 4.201. Journal rank: Q1, 13/91 (Engineering, Multidisciplinary)
_volume XX YY _ Impact factor: 9.083. Journal rank: Q1, 9/137 (Computer Science, Artificial Intelligence)
volume 22 (3) 1 Impact factor: 1.090. Journal rank: Q4, 82/108 (Computer Science, Software Engineering)
volume 150 106862 Impact factor: 4.135. Journal rank: Q1, 18/109 (Computer Science - Intelligent Applications)
volume 44 (2) 1-35 Impact factor: 0.778. Journal rank: Q3, 84/124 (Stats & Probability)
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