Francisco Falcone is a Full Professor in the Electrical and Electronics Department at the Public University of Navarra (UPNA). 

He is also the Head of the Institute for Smart Cities in UPNA and a Committee Member for the Institute of Electrical and Electronics Engineers (IEEE) in Antennas and Propagation Society. Also, Professor Falcone has previous professional experience as a Microwave Commissioning Engineer for Siemens-Italtel; a Radio Network Engineer in Telefónica Móviles; and was previously a Director and current Partner at Tafco Metawireless.

He’s collaborated with several national universities in Spain as well as international universities, such as the Kuwait College of Science and Technology; Universita di Siena; Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR); University of Birmingham; Universidad Politécnica de Valencia; Universidad de Vigo; and Universidad de Deusto, to name some.  

His experience covers a wide range of areas such as radio network design and optimization; investigation and implementation of novel electromagnetic devices and structures in the MW and THz range; electromagnetic bandgap and metamaterial structures; simulation and analysis of complex electromagnetic scenarios (hybrid simulation technique development); dosimetric analysis and assessment of complex scenarios; ambient intelligence and integration of wireless systems and wireless sensor networks (interference analysis, volumetric energy consumption profile estimation).

Professor Falcone has participated in 38 public-funded competitive research projects (international/national/regional) and in 43 industrial research contracts. Also, he’s contributed in over 350 international and national conferences. 

He’s been awarded the CST Best Paper Award in 2003 and 2005; the Doctoral Award UPNA 2004-2006; the Ph.D. Award from the Colegio Oficial de Ingenieros de Telecomunicación (COIT) in 2005; the first Juan López de Peñalver Research Award from the Royal Academy of Engineering of Spain in 2010; the XII Talgo Innovation Award in 2012; and the IEEE 2014 Best Paper Award, to name a few. 

Professor Francisco Falcone joined Tecnológico de Monterrey as Distinguished Visiting Professor in Telecommunications for the School of Engineering and Sciences.
 

• Ph.D. in Telecommunications from UPNA.
• Telecommunications Engineer from UPNA.
   

• L. Azpilicueta, C. Vargas-Rosales, F. Falcone, A. Alejos, “Radio Wave Propagation in Vehicular Environments”, Institution of Engineering and Technology (IET), 2021, ISBN: 9781785618239

• Professor Falcone has also collaborated on 6 book chapters, in over 200 journal papers, and in various publications. 
   

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Dr. Rob Roggema taught as Professor of Landscape-driven Design and Sustainable Urban Environments at the lnholland and Hanze Universities of Applied Sciences, in the Netherlands, and the University of Technology Sydney, in Australia. He is Visiting Professor in Landscape Urbanism at Queen’s University Belfast, in Northern Ireland; Distinguished Visiting Professor at Western Sydney University, in Australia; and Distinguished Global Professor at KEIO University, in Japan.

He is Director of Cittaideale, an office in adaptive design, spatial planning, and design research for regenerative urban environments and landscapes. Some of the design concepts he has developed are ‘FoodRoofRio’, a rooftop garden with an aquaponic system that provided food for families in the Cantagalo favela at Rio de Janeiro, Brazil, and Nature Rich Netherlands, a national plan to transform the Dutch land use into 50% nature, whilst solving problems related to climate change impacts, nitrogen deposition, and housing. For his Ph.D., he developed the Swarm Planning concept, a new method for planning and responding to climate adaptation and spatial design.

Dr. Roggema’s research interests are to create innovative spatial solutions for regenerative urban landscapes. He has led over 40 design charrettes in the Netherlands, Japan, Mongolia, China, Jordan, India, Australia, and New Zealand, involving communities, academics, governments, and industries in the design process.

He is Series Editor at Contemporary Urban Design Thinking, Springer. In addition, he has collaborated as an academic reviewer for journals such as Urban Forestry and Urban Greening; European Planning Studies; Environment and Planning B; and the Journal of Sustainable Development, to name a few.

Professor Rob was a keynote speaker at the Ecocity World Summit 2022 in Rotterdam, Netherlands; at the third edition of the international conferences on “Resilient and Responsible Architecture and Urbanism” from IEREK: Research and Knowledge Enrichment, in Alexandria, Egypt; among many others. Also, he has been an academic guest lecturer worldwide across Europe, Australia, and Asia.

He was rewarded a ‘Rubicon’ grant by the Dutch Research Council (NWO), in the Netherlands (2012); he also received the Honorary Mention at the Rising Tides Design Competition (2009) from the San Francisco Bay Conservation and Development Commission (BCDC); he won the scientific award for ‘Best theoretical paper’ at the World Sustainable Building Conference, in Melbourne, Australia (2008), for his Swarm Planning concept.

Dr. Rob Roggema joined Tecnológico de Monterrey as Distinguished Professor in Regenerative Cultures for the School of Architecture, Art and Design.

• Ph.D., Climate Change, Sustainable Energy and Spatial Planning, Delft University of Technology and Wageningen University and Research Centre
• M.Sc., Landscape Architecture, Wageningen University and Research Centre
   

• Roggema, R.; Chamski, R. The New Urban Profession: Entering the Age of Uncertainty. Urban Sci. 2022, 6, 10. https://doi.org/10.3390/urbansci6010010

• Roggema, R. (2022). Design for Regenerative Cities and Landscapes: Rebalancing Human Impact and Natural Environment (Contemporary Urban Design Thinking) (English Edition). Springer.

• Roggema, Rob. (2021). TransFEWmation: Towards Design-led Food-Energy-Water Systems for Future Urbanization. 10.1007/978-3-030-61977-0. 

• Roggema, Rob. (2020). Nature Driven Urbanism. 10.1007/978-3-030-26717-9. 

• Roggema, Rob. (2020). Designing Sustainable Cities. 10.1007/978-3-030-54686-1. 

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Dr. Rob Roggema taught as Professor of Landscape-driven Design and Sustainable Urban Environments at the lnholland and Hanze Universities of Applied Sciences, in the Netherlands, and the University of Technology Sydney, in Australia. He is Visiting Professor in Landscape Urbanism at Queen’s University Belfast, in Northern Ireland; Distinguished Visiting Professor at Western Sydney University, in Australia; and Distinguished Global Professor at KEIO University, in Japan.

He is Director of Cittaideale, an office in adaptive design, spatial planning, and design research for regenerative urban environments and landscapes. Some of the design concepts he has developed are ‘FoodRoofRio’, a rooftop garden with an aquaponic system that provided food for families in the Cantagalo favela at Rio de Janeiro, Brazil, and Nature Rich Netherlands, a national plan to transform the Dutch land use into 50% nature, whilst solving problems related to climate change impacts, nitrogen deposition, and housing. For his Ph.D., he developed the Swarm Planning concept, a new method for planning and responding to climate adaptation and spatial design.

Dr. Roggema’s research interests are to create innovative spatial solutions for regenerative urban landscapes. He has led over 40 design charrettes in the Netherlands, Japan, Mongolia, China, Jordan, India, Australia, and New Zealand, involving communities, academics, governments, and industries in the design process.

He is Series Editor at Contemporary Urban Design Thinking, Springer. In addition, he has collaborated as an academic reviewer for journals such as Urban Forestry and Urban Greening; European Planning Studies; Environment and Planning B; and the Journal of Sustainable Development, to name a few.

Professor Rob was a keynote speaker at the Ecocity World Summit 2022 in Rotterdam, Netherlands; at the third edition of the international conferences on “Resilient and Responsible Architecture and Urbanism” from IEREK: Research and Knowledge Enrichment, in Alexandria, Egypt; among many others. Also, he has been an academic guest lecturer worldwide across Europe, Australia, and Asia.

He was rewarded a ‘Rubicon’ grant by the Dutch Research Council (NWO), in the Netherlands (2012); he also received the Honorary Mention at the Rising Tides Design Competition (2009) from the San Francisco Bay Conservation and Development Commission (BCDC); he won the scientific award for ‘Best theoretical paper’ at the World Sustainable Building Conference, in Melbourne, Australia (2008), for his Swarm Planning concept.

Dr. Rob Roggema joined Tecnológico de Monterrey as Distinguished Professor in Regenerative Cultures for the School of Architecture, Art and Design.

• Ph.D., Climate Change, Sustainable Energy and Spatial Planning, Delft University of Technology and Wageningen University and Research Centre
• M.Sc., Landscape Architecture, Wageningen University and Research Centre
   

• Roggema, R.; Chamski, R. The New Urban Profession: Entering the Age of Uncertainty. Urban Sci. 2022, 6, 10. https://doi.org/10.3390/urbansci6010010

• Roggema, R. (2022). Design for Regenerative Cities and Landscapes: Rebalancing Human Impact and Natural Environment (Contemporary Urban Design Thinking) (English Edition). Springer.

• Roggema, Rob. (2021). TransFEWmation: Towards Design-led Food-Energy-Water Systems for Future Urbanization. 10.1007/978-3-030-61977-0. 

• Roggema, Rob. (2020). Nature Driven Urbanism. 10.1007/978-3-030-26717-9. 

• Roggema, Rob. (2020). Designing Sustainable Cities. 10.1007/978-3-030-54686-1. 

More publications

Dr. Carlos Coello is Professor with Distinction (Investigador CINVESTAV 3F) at the Center for Research and Advanced Studies of the Instituto Politécnico Nacional (CINVESTAV-IPN) in Mexico City and Visiting Professor at the Basque Center for Applied Mathematics in Spain. Has taught master's and Ph.D. level courses on evolutionary computation, evolutionary multi-objective optimization, programming languages, and engineering optimization at CINVESTAV-IPN. In addition, he has taught short courses in Spain, England, Argentina, Chile, India, Bolivia, Colombia, Slovenia, and the USA.

Also, Professor Coello has presented scientific articles at major conferences specialized in evolutionary computation, like the IEEE Congress on Evolutionary Computation (CEC), the Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), and others. 

His work and research fall at the intersection of computer science, applied mathematics, and operations research. His main contributions have revolved around the design of biologically inspired stochastic algorithms to solve highly complex multi-objective optimization problems (mainly non-linear). He has made pioneering contributions to this area which is now known as multi-objective evolutionary optimization. For example, he proposed, along with his research group, the first genetic micro-algorithm for multi-objective optimization, which has been used in real-world applications in various countries like the United States for the design of supersonic business jets. Also, the first algorithm for multi-objective optimization based on an artificial immune system incorporating the concept of Pareto optimality, which has been a reference in specialized literature used to validate new multi-objective algorithms.

Dr. Coello has broad experience as an expert consultant in his field. He is a Member of the Foundation Advisory Board of The International AIQT Foundation, which strives to establish a highly competitive (international-level) research center in artificial intelligence and quantum technology. He is also Scientific Advisor of the company Complexica, in Australia, and was Senior Advisor of the Hunan Zixing AI Research Institute from China (2017-2020), to name some examples.

His research interests revolve around the areas of evolutionary computation (genetic algorithms and evolution strategies), as well as engineering optimization. In addition, he has worked on over 12 funded research projects, the most recent one called ‘Alternative Selection Schemes for Multi-Objective Evolutionary Algorithms’ funded by CONACYT, in which he was Principal Investigator.

Dr. Coello has collaborated as an Associate Editor in multiple international journals like the IEEE Transactions on Evolutionary Computation, Evolutionary Computation (the MIT Press), Journal of Heuristics (Springer), Computational Optimization and Applications (Springer), Pattern Analysis and Applications (Springer), to name a few. He is currently Editor-in-Chief of the IEEE Transactions on Evolutionary Computation journal.

Among his multiple special recognitions and awards, Dr. Carlos Coello won the Premio Crónica 2023 in Science and Technology; he was selected by Líderes magazine as part of their "300 most influential leaders in Mexico" list in 2023, taking the 69th position. He also won the SIGEVO Outstanding Contribution Award (2023) given by the Association for Computing Machinery (ACM); the IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2021); The World Academy of Sciences (TWAS) Award in Engineering Sciences (2016); the Best Paper Award from the Evolutionary Multi-objective Optimization track (GECCO’2016); the IEEE Kiyo Tomiyasu Award (2013); the National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences (2012), which is the highest award a Mexican scientist can obtain in the country, granted by the Presidency of Mexico; the Scopus Award (Mexico's edition; 2012) in Engineering for being the most cited scientist in engineering in the 5 years previous to the award; the Medal to the Scientific Merit from Mexico City's congress (2009); among many others. 

Dr. Coello is level 3 in the National System of Researchers (SNI) in Mexico and was also ranked #289 in the world and #1 in Mexico in the 8th Edition of the Guide2Research 2022 Ranking of Top 1000 Scientists in the field of Computer Science and Electronics.

Professor Carlos Coello joined Tecnológico de Monterrey as Distinguished Visiting Professor in Computer Science and Computational Intelligence for the School of Engineering and Sciences.

• Ph.D., Computer Science, Tulane University, New Orleans, Louisiana, USA.
• M.Sc., Computer Science, Tulane University, New Orleans, Louisiana, USA.
• B.Sc., Civil Engineering, Universidad Autónoma de Chiapas, Mexico. (Summa cum laude).
   

• Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said, Uncertainty-wise Software Anti-patterns Detection: A Possibilistic Evolutionary Machine Learning Approach, Applied Soft Computing, Vol. 129, Article Number: 109620, November 2022.

• Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions, IEEE Transactions on Cybernetics, Vol. 52, No. 11, pp. 11299--11312, November 2022.

• Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello, A Convergence and Diversity Guided Leader Selection Strategy for Many-objective Particle Swarm Optimization<, Engineering Applications of Artificial Intelligence, Vol. 155, Article Number: 105249, October 2022.

• Qiuzhen Lin, Xunfeng Wu, Jianqiang Li, Maoguo Gong and Carlos A. Coello Coello, An Ensemble Surrogate-based Framework for Expensive Multiobjective Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, Vol. 26, No. 4, pp. 631--645, August 2022.

• Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello, A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering, Swarm and Evolutionary Computation, Vol. 71, Article No. 101075, June 2022.

More publications

Dr. Carlos Coello is Professor with Distinction (Investigador CINVESTAV 3F) at the Center for Research and Advanced Studies of the Instituto Politécnico Nacional (CINVESTAV-IPN) in Mexico City and Visiting Professor at the Basque Center for Applied Mathematics in Spain. Has taught master's and Ph.D. level courses on evolutionary computation, evolutionary multi-objective optimization, programming languages, and engineering optimization at CINVESTAV-IPN. In addition, he has taught short courses in Spain, England, Argentina, Chile, India, Bolivia, Colombia, Slovenia, and the USA.

Also, Professor Coello has presented scientific articles at major conferences specialized in evolutionary computation, like the IEEE Congress on Evolutionary Computation (CEC), the Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), and others. 

His work and research fall at the intersection of computer science, applied mathematics, and operations research. His main contributions have revolved around the design of biologically inspired stochastic algorithms to solve highly complex multi-objective optimization problems (mainly non-linear). He has made pioneering contributions to this area which is now known as multi-objective evolutionary optimization. For example, he proposed, along with his research group, the first genetic micro-algorithm for multi-objective optimization, which has been used in real-world applications in various countries like the United States for the design of supersonic business jets. Also, the first algorithm for multi-objective optimization based on an artificial immune system incorporating the concept of Pareto optimality, which has been a reference in specialized literature used to validate new multi-objective algorithms.

Dr. Coello has broad experience as an expert consultant in his field. He is a Member of the Foundation Advisory Board of The International AIQT Foundation, which strives to establish a highly competitive (international-level) research center in artificial intelligence and quantum technology. He is also Scientific Advisor of the company Complexica, in Australia, and was Senior Advisor of the Hunan Zixing AI Research Institute from China (2017-2020), to name some examples.

His research interests revolve around the areas of evolutionary computation (genetic algorithms and evolution strategies), as well as engineering optimization. In addition, he has worked on over 12 funded research projects, the most recent one called ‘Alternative Selection Schemes for Multi-Objective Evolutionary Algorithms’ funded by CONACYT, in which he was Principal Investigator.

Dr. Coello has collaborated as an Associate Editor in multiple international journals like the IEEE Transactions on Evolutionary Computation, Evolutionary Computation (the MIT Press), Journal of Heuristics (Springer), Computational Optimization and Applications (Springer), Pattern Analysis and Applications (Springer), to name a few. He is currently Editor-in-Chief of the IEEE Transactions on Evolutionary Computation journal.

Among his multiple special recognitions and awards, Dr. Carlos Coello won the Premio Crónica 2023 in Science and Technology; he was selected by Líderes magazine as part of their "300 most influential leaders in Mexico" list in 2023, taking the 69th position. He also won the SIGEVO Outstanding Contribution Award (2023) given by the Association for Computing Machinery (ACM); the IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2021); The World Academy of Sciences (TWAS) Award in Engineering Sciences (2016); the Best Paper Award from the Evolutionary Multi-objective Optimization track (GECCO’2016); the IEEE Kiyo Tomiyasu Award (2013); the National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences (2012), which is the highest award a Mexican scientist can obtain in the country, granted by the Presidency of Mexico; the Scopus Award (Mexico's edition; 2012) in Engineering for being the most cited scientist in engineering in the 5 years previous to the award; the Medal to the Scientific Merit from Mexico City's congress (2009); among many others. 

Dr. Coello is level 3 in the National System of Researchers (SNI) in Mexico and was also ranked #289 in the world and #1 in Mexico in the 8th Edition of the Guide2Research 2022 Ranking of Top 1000 Scientists in the field of Computer Science and Electronics.

Professor Carlos Coello joined Tecnológico de Monterrey as Distinguished Visiting Professor in Computer Science and Computational Intelligence for the School of Engineering and Sciences.

• Ph.D., Computer Science, Tulane University, New Orleans, Louisiana, USA.
• M.Sc., Computer Science, Tulane University, New Orleans, Louisiana, USA.
• B.Sc., Civil Engineering, Universidad Autónoma de Chiapas, Mexico. (Summa cum laude).
   

• Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said, Uncertainty-wise Software Anti-patterns Detection: A Possibilistic Evolutionary Machine Learning Approach, Applied Soft Computing, Vol. 129, Article Number: 109620, November 2022.

• Forhad Zaman, Saber Elsayed, Ruhul Sarker, Daryl Essam and Carlos A. Coello Coello, Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions, IEEE Transactions on Cybernetics, Vol. 52, No. 11, pp. 11299--11312, November 2022.

• Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello, A Convergence and Diversity Guided Leader Selection Strategy for Many-objective Particle Swarm Optimization<, Engineering Applications of Artificial Intelligence, Vol. 155, Article Number: 105249, October 2022.

• Qiuzhen Lin, Xunfeng Wu, Jianqiang Li, Maoguo Gong and Carlos A. Coello Coello, An Ensemble Surrogate-based Framework for Expensive Multiobjective Evolutionary Optimization, IEEE Transactions on Evolutionary Computation, Vol. 26, No. 4, pp. 631--645, August 2022.

• Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello, A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering, Swarm and Evolutionary Computation, Vol. 71, Article No. 101075, June 2022.

More publications