Connectionists: MESS 2020+1 ~ Learning & Optimization from Big Data ~ 15-18 June 2021

[Mario Pavone]

Call for Participation (apologies for multiple copies)

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MESS 2020+1 - Metaheuristics Summer School
- Learning & Optimization from Big Data -
15-18 June 2021, Catania, Italy
(virtual and onsite mode)

https://www.ANTs-lab.it/mess2020/
mess.school at ANTs-lab.it
https://www.facebook.com/groups/MetaheuristicsSchool/
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** APPLICATION DEADLINE: 5th March 2021 **
https://www.ants-lab.it/mess2020/application/


MESS 2020+1 is aimed at qualified and strongly motivated MSc and PhD  
students; post-docs; young researchers, and both academic and  
industrial professionals to provide an overview on the several  
metaheuristics techniques, and an in-depth analysis of the  
state-of-the-art. The main theme of this edition is ?Learning and  
Optimization from Big Data?, therefore MESS 2020+1 wants to focus on  
(i) Learning for Metaheuristics; (ii) Optimization in Machine  
Learning; and (iii) how Optimization and Learning affect the  
Metaheuristics making them relevant in handling Big Data.

Participants will be delivered a certificate of attendance indicating  
the number of hours of lectures (36-40 hours of lectures). In  
according to the academic system all PhD and master students attending  
to the summer school will may get 8 ECTS points.


** LIST OF LECTURERS & LECTURES TITLES

+ Paolo Arena, Unviersity of Catania, Italy
      Lecture#1: TBA
      Lecture#2: TBA

+ Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK
      Lecture#1: Cognitive and Developmental Robotics, part 1
      Lecture#2: Cognitive and Developmental Robotics, part 2

+ Swagatam Das, Indian Statistical Institute, Kolkata
      Lecture#1: Deep Generative Adversarial Networks and Their  
Application to Class-imbalanced Learning
      Lecture#2: Non-convex Constrained Optimization - Some Advanced Approaches

+ Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial  
Intelligence, Switzerland
      Lecture#1: TBA
      Lecture#2:  TBA

+ Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK
      Lecture#1: TBA
      Lecture#2: TBA

+ Giuseppe F. Italiano, Luiss University, Italy
      Lecture#1: TBA
      Lecture#2: TBA

+ Rafael Martì, University of Valencia, Spain
      Lecture#1: Optimization in Graph Drawing
      Lecture#2: Models and Heuristics in Discrete Diversity Maximization

+ Gabriela Ochoa, University of Stirling, UK
      Lecture#1: Fitness Landscape Analysis
      Lecture#2: Complex Networks in Search and Optimisation

+ Mauricio Resende, AMAZON, USA
      Lecture#1: GRASP with Path-Relinking for Real-World Optimization Problems
      Lecture#2: Biased Random-Key Genetic Algorithms with Applications

+ El-Ghazali Talbi, University of Lille 1, France
      Lecture#1: Machine learning for metaheuristics
      Lecture#2: Automated design of deep neural networks

+ Daniele Vigo, University of Bologna, Italy
      Lecture#1: Fast and scalable heuristics for vehicle routing problems
      Lecture#2: Integrating machine learning into vehicle routing heuristics


** METAHEURISTICS COMPETITION

All participants to the school will be involved in the ?Metaheuristics  
Competition?, where each of them will must develop a metaheuristic  
solution on the given problem. The top three of the competition  
ranking will receive the MESS 2020+1 prize. Students whose algorithm  
will rank in the top ten of the competition ranking will be invited to  
submit a manuscript of their work to be published in the special  
volume MESS 2020+1 of the AIRO Springer Series.


** SHORT TALK & POSTER PRESENTATION

All participants may submit an abstract of their recent results, or  
works in progress, for presentation and having the opportunities for  
debate and interact with leaders in the field. Mini-Workshop  
Organizers and Scientific Committee will review the abstracts and will  
recommend for the format of the presentation (oral or poster). All  
abstracts will be published on the electronic hands-out book of the  
summer school.

The Abstracts must be submitted by *March 5, 2020*.


*See Previous Edition - MESS 2018*
https://www.ants-lab.it/mess2018/


** MORE INFORMATION:

https://www.ANTs-lab.it/mess2020/   --   mess.school at ANTs-lab.it
Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/
Twitter: https://twitter.com/MESS_school

-- 
Mario F. Pavone, PhD
Associate Professor
Dept of Mathematics and Computer Science
University of Catania
V.le A. Doria 6 - 95125 Catania, Italy
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tel: +39 095 7383034
mobile: +39 3384342147
Email: mpavone at dmi.unict.it
http://www.dmi.unict.it/mpavone/
FB: https://www.facebook.com/mfpavone
Skype: mpavone
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