Scholarship Hosts 2022

Scholarship Hosts 2022

List of host institutions for the SPECIES Scholarship programme in 2022. Details about the supervisor, research group, available projects, and other relevant information, is provided as a PDF document.

ArcelorMittal Global R&D, Aviles, Asturias, Spain (in cooperation with the University of Manchester, Manchester, England, United Kingdom)

• Location: ArcelorMittal Global R&D, Aviles, Asturias, Spain (Website)
• Supervisor: Silvino Fernández Alzueta (Homepage, industrial supervisor) , Manuel López-Ibáñez (Homepage, scientific supervisor)
• Project
  1. Feature Selection for Large-Scale Algorithm Selection
  2. Simultaneous Algorithm Selection and Configuration
• More information: ArcelorMittal_info

École Polytechnique, Paris, France

• Location: Laboratoire d’Informatique (LIX), École Polytechnique, Paris, France (Website)
• Supervisor: Benjamin Doerr (Homepage)
• Project
  1. Design and Analysis of Evolutionary Algorithms
• More information: Paris-EcolePolytechnique_info

Edinburgh Napier University, Edinburgh, Scotland, United Kingdom

• Location: School of Computing, Edinburgh Napier University, Edinburgh, Scotland, United Kingdom (Website)
• Supervisor: Kevin Sim (Homepage)
• Projects
  1. Algorithm Selection for meta-heuristics, leveraging a range of machine-learning approaches
  2. Evolution of algorithm portfolios which exhibit diversity of behaviours
  3. Lifelong learning in optimisation: methods for continual adaptation of algorithms based on problem-solving experience
• More information: Edinburgh-Napier_info

Friedrich-Alexander University, Erlangen-Nürnberg, Germany

• Location: Department of Mathematics, Friedrich-Alexander University, Erlangen-Nürnberg, Germany (Website)
• Supervisor: Bismark Singh (Homepage)
• Projects
  1. Methods and Models for Energy Transformation and Integration Systems
  2. Greedy algorithms within facility location optimization problems
  3. Parallelization & Code Optimization for Energy System Models
  4. Computational experiments using aggregated scenarios in stochastic optimization models
  5. Model reformulations for large-scale energy system models
  6. Mathematical Models for Estimating Worried-well Populations in a Pandemic
  7. Classical Probability Approximations for Joint Chance-constraints
• More information: Erlangen-Nuremberg-FAU_info

Ontario Tech University, Oshawa, Canada

• Location: Trustworthy Artificial Intelligence Lab, Ontario Tech University, Oshawa, Canada (Website)
• Supervisor: Peter Lewis (Homepage) and Jane Breen (Homepage)
• Project
  1. Evolution of Institutions on Networks
• More information: Oshawa_info

Serbian Academy of Sciences and Arts, Belgrade, Serbia

• Location: Mathematical Programming and Optimization Research Group, Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia (Website)
• Supervisor: Tatjana Davidović (Homepage)
• Project:
  1. Integrating Machine Learning and Metaheuristics
• More information: Belgrade_info

Sorbonne University, Paris, France

• Location: Operations Research Team, Computer Science Department LIP6, Sorbonne University, Paris, France (Website)
• Supervisor: Carola Doerr (Homepage)
• Project
  1. Development and Analysis of New Variation Operators for Randomized Search Heuristics
• More information: Sorbonne_info

Technical Institute of Tijuana, Tijuana, Mexico

• Location: Department of Electric and Electronic Engineering, Technical Institute of Tijuana, Tijuana, Mexico (Website, Facebook)
• Supervisor: Leonardo Trujillo (Homepage)
• Project
  1. Expanding our GPU-based GP systems for regression and classification
• More information: Tijuana_info

Tel-Aviv University, Tel-Aviv, Israel

• Location: School of Mechanical Engineering and Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel (Engineering Website, Neuroscience Website)
• Supervisor: Amiram (Ami) Moshaiov (Homepage)
• Project
  1. Many-objective Topology and Weight Evolution of Deep Neural-Networks for Multi-class Classification
  2. Many-objective Evolutionary Robotics
  3. Co-evolving Rationalizable Strategies for Multi-payoff Games
  4. Multi-concept Evolutionary Exploration of Design Spaces
• More information: Tel-Aviv_info

Universidad Rey Juan Carlos and Universidad Complutense de Madrid, Madrid, Spain

• Location: Group for Research in Algorithms For Optmization (GRAFO), Universidad Rey Juan Carlos and Adaptive and Bioinspired Systems Research Group (ABSYS), Universidad Complutense de Madrid, Madrid, Spain (GRAFO Website, ABSYS Website)
• Supervisor: José Manuel Colmenar (Website) and J. Ignacio Hidalgo (Homepage)
• Project
  1. Grammatical Evolution for Symbolic Regression
• More information: Madrid_info

Universidade Nova de Lisboa, Lisbon, Portugal (1)

• Location: NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal (Website)
• Supervisor: Mauro Castelli (Homepage)
• Project
  1. Combining gradient descent/neural network learning algorithms with Geometric Semantic Genetic Programming
• More information: Lisbon-NOVA_1_info

Universidade Nova de Lisboa, Lisbon, Portugal (2)

• Location: Information Management Center (MagIC), NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal (NOVA IMS Website, MagIC Website)
• Supervisor: Leonardo Vanneschi (Homepage)
• Project
  1. Cooperative Genetic Programming for Regression Problems
• More information: Lisbon-NOVA_2_info

University of Bucharest, Bucharest, Romania

• Location: Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania (Website)
• Supervisor: Alexandru Popa (Homepage)
• Projects
  1. Heuristic algorithms for finding evolutionary distances
  2. Metaheuristics applied to hard optimisation problems
• More information: Bucharest_info

University of Coimbra, Coimbra, Portugal

• Location: Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal (Website)
• Supervisor: Nuno Lourenço (Homepage) and Penousal Machado (Homepage)
• Project
  1. Evolutionary Machine Learning: Generative Evolutionary Machine Learning
  2. Evolutionary Machine Learning: Fast and Adept Learning
  3. Grammatical Evolution
• More information: Coimbra_info

University of Essex, Colchester, England, United Kingdom

• Location: Department of Mathematical Sciences, University of Essex, Colchester, England, United Kingdom (Website)
• Supervisor: Abdel Salhi (Homepage) and Xinan Yang (Homepage)
• Project
  1. Classification and Hybridising of Evolutionary Algorithms
• More information: Essex_info

University of Jyväskylä, Jyväskylä, Finland

• Location: Multiobjective Optimization Group, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland (Website)
• Supervisor: Kaisa Miettinen (Homepage)
• Project
  1. New interactive multiobjective evolutionary algorithm with different preference incorporation styles
• More information: Jyväskylä_info

University of Leicester, Leicester, England, United Kingdom

• Location: School of Computing and Mathematical Sciences, University of Leicester, Leicester, England, United Kingdom (Website)
• Supervisor: John H. Drake (Homepage)
• Project
  1. High-level search methodologies for problem-solving in industrial applications
• More information: Leicester_info

University of Málaga, Málaga, Spain

• Location: NEO Research Group, Institute of Software, Engineering and Technology, Department of Languages Computer Science, University of Málaga, Málaga, Spain (Website)
• Supervisor: Francisco Chicano (Homepage)
• Project
  1. Embedding in Quantum Annealers
  2. Incomplete MaxSAT solver based on crossover
• More information: Málaga_info

University of Lisbon, Lisbon, Portugal

• Location: LASIGE, Faculty of Sciences, University of Lisbon, Lisbon, Portugal (Website)
• Supervisor: Alcides Fonseca (Homepage)
• Project
  1. Implementation of Dependent Types in a Genetic Programming framework
• More information: Lisbon_info

University of Parma, Parma, Italy

• Location: Intelligent Bio-Inspired Systems Lab (IBIS) and Social Web, Intelligent and Distributed systems Engineering Lab (SoWide), Department of Engineering and Architecture, University of Parma, Parma, Italy (IBIS Website, SoWide Website)
• Supervisor: Stefano Cagnoni (Homepage)
• Project
  1. Using Evolutionary Computation and Machine Learning Algorithms to explain Deep Neural Nets results
• More information: Parma_info

University of Plymouth, Plymouth, England, United Kingdom

• Location: Plymouth Optimisation Group, Centre for Robotics and Neural Systems (CRNS), University of Plymouth, Plymouth, England, United Kingdom (Website)
• Supervisor: David Walker (Homepage) and Matthew Craven (Homepage)
• Project
  1. Visualisation and explainable AI
  2. Benchmarking
  3. Industrial optimisation
  4. Hybrid optimisation
• More information: Plymouth_info

University of Stirling, Stirling, Scotland, United Kingdom

• Location: Data Science and Intelligent Systems Research Group, Division of Computing Science & Mathematics, University of Stirling, Stirling, Scotland, United Kingdom (Website)
• Supervisor: Alexander Brownlee (Homepage)
• Project
  1. Explainability of Evolutionary Algorithms
• More information: Stirling_info

University of Tokyo, Tokyo, Japan

• Location: IBA laboratory, Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan (Website)
• Supervisor: Hitoshi Iba (Homepage)
• Project
  1. Deep neural evolution
  2. Swarm intelligence and meta-heuristics
  3. Genetic Programming : Theory and application
• More information: Tokyo_info

University of Toulouse, Toulouse, France

• Location: ISAE-Supaero, University of Toulouse, Toulouse, France (Website)
• Supervisor: Dennis Wilson (Homepage)
• Project
  1. Neuroevolution for Policy Search
• More information: Toulouse_info

University of Trento, Trento, Italy

• Location: Department of Information Engineering and Computer Science, University of Trento, Trento, Italy (Website)
• Supervisor: Giovanni Iacca (Homepage)
• Projects
  1. Evolutionary learning of interpretable models
  2. Hybridization of deep reinforcement learning and metaheuristics
  3. Evolution of network protocols
  4. Evolution of communication using interpretable agents
  5. Problem classification via evolutionary dynamics
• More information: Trento_info

University of Trieste, Trieste, Italy

• Location: Evolutionary Robotics and Artificial Life Lab (ERALLab) and Machine Learning Lab (MaLeLab), Department of Engineering and Architecture, University of Trieste, Trieste, Italy (ERALLab Website, MaLeLab Website)
• Supervisor: Eric Medvet (Homepage) and Luca Manzoni (Homepage)
• Projects
  1. Voxel-based Soft Robots
  2. Resolution-agnostic representation for evolution of closed-loop controllers of VSRs
  3. Grammar-based generative encoding for developing (phenotypically plastic) modular robots
• More information: Trieste_info

Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

• Location: Computational Intelligence Group, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (Website)
• Supervisor: Anil Yaman (Homepage)
• Projects
  1. Social learning strategies and cultural evolution models
  2. Robot body and brain evolution
• More information: Amsterdam_info