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--- teaching:mfe:ia [2016/03/14 16:13]
mdorigo [Collective Decision Making with Heterogeneous Agents]
+++ teaching:mfe:ia [2019/05/06 13:50]
bersini
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-====== MFE 2015-2016 : Intelligence Artificielle ======
+====== MFE 2018-2019 : Intelligence Artificielle ======
 ===== Introduction =====
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 Ces sujets sont prêt à être encadrer, mais il va s'en dire qu'ils ne sont pas uniques. Les étudiants sont vivement encouragés à prendre contact avec Hugues Bersini (bersini AT ulb.ac.be) ou Marco Dorigo (mdorigo AT ulb.ac.be) afin de discuter de l'une ou l'autre initiative inspirée pouvant faire l'objet dun autre sujet de MFE ou de préciser le cadres, le contenu et les attentes relatives au sujets présentés.
+---
+=====  A WebGL Visualization for a Swarm Robotics Simulator  =====
+ARGoS is a multi-robot simulator that has been designed to simulate swarms of 1000s of robots in real time. The simulator is modular and allows developers to easy add new plugins such as physics engines, visualizations, and new sensors and actuators. The goal of this master’s thesis is to develop a WebGL-based visualization for the ARGoS simulator. This interface will allow a user to monitor and to interact with the simulation from a web browser.
+Required skills: The candidates should have some experience with programming in C++ and Javascript and to have some experience with HTML5 and CSS. A working knowledge of the English language is required.
+* Contact: Marco Dorigo
+===== Automatic design of communication protocols in swarm robotics =====
+Automatic design methods are a promising approach to the development of control software of robot swarms. In previous research, we have developed AutoMoDe, a method that automatically generate a finite state machine to control each individual robot of the swarm. AutoMoDe automatically assembles the finite state machine starting from pre-defined behavioral modules and transition criteria.  In this project, the goal is to extend AutoMoDe so as to enable the automatic generation of communication protocols.
+Required skills: The candidate should have good programming skills and previous experience with C++ programming under UNIX.
+* Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Lorenzo Garattoni, Gianpiero Francesca (IRIDIA)
+===== Intelligent interactive console for swarm of robots =====
+The goal of this project is to design and implement an interactive tool for monitoring, debugging and controlling experiments in swarm robotics. Through the interface of this tool, the user can pause the experiment, monitor the state of the robots, select a robot to check the values of sensors and actuators, and modify them if needed. The tool will be integrated in ARGoS (the simulator for robot swarms developed at IRIDIA) and will feature the existing debug facilities featured by ARGoS, which currently work only in simulation. The tool will also use the IRIDIA arena's tracking system, which is equipped with 16 ceiling-mounted cameras. Finally, the tool will integrate an existing console software to monitor and control the state of the robots.
+* Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Lorenzo Garattoni (IRIDIA)
+===== Efficient chain formation in a robot swarm =====
+The goal of this project is to study and design techniques to efficiently create and maintain robust chains of robots. Chain formation is a known collective behavior in swarm robotics. In chain formation, robots place themselves in the environment to create a chain that connects two locations. The chain can be used by other robots as navigation support. Chain formation behaviors are often inspired by ants, which form chains of individuals that connect their nest to foraging sites. Although chain formation has been implemented in several different configurations (e.g., chains of moving robots, chains of aerial robots that aid the navigation of ground robots, directional chains, etc.), the definition of efficient methods to build, use, and maintain chains of robots is still missing. The ultimate goal of the project is therefore the definition of a efficient and robust chain formation behaviour.
+* Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Lorenzo Garattoni (IRIDIA)
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   * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
 ===== Développer un programme informatique permettant une analyse statistique en vue de  l'évaluation d'un module psychothérapeutique. =====
 Ce mémoire se fera en collaboration avec l'équipe médicale du centre pour l'anorexie et la boulimie de l'hôpital Erasme. Il consistera en l'analyse informatisée des données récoltées lors d'entretiens avec le patient et sa famille au cours du traitement. Les données sont actuellement stockées dans dans une base de données SPSS.  Le mémoire consistera pour l'essentiel au traitement de ces données par des approches "Machine Learning" et "Data Mining" dans une perspective de Quality Management.
+  * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Développer des solutions de text mining pour la société Procter & Gamble =====
+Ce mémoire se fera en collaboration avec des responsables marketing de cette société. Il consistera en l'analyse informatisée des appréciations récoltées sur les produits de la firme et d'une analyse comparative avec les appréciations de concurrents. Il s'agira pour l'essentiel d'études de type "clustering", "classification" et "sentiment analysis" au départ de nombreuses librairies déjà existantes.
+  * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Speed-up Techniques for Shortest Path Problems =====
+The shortest path problem is one of the most important in combinatorial optimization and has multiple real-world applications.
+The well-known Dijkstra algorithm solves the shortest path problem in any weighted graph with non-negative weights. However, with the recent increase of the amount of data, we feel the need to drastically increase the execution time of the algorithm.
+In the latest years, we observe the emergence of a lot of new speed-up techniques; among them there are: heuristic search, bidirectional search, landmarks, reaches, short-cuts and contractions. The efficiency of these techniques heavily depends on the topology of the graph. Moreover, graphs with more complex structures (as user-adapted graphs) do not support some of these techniques, at least as they are currently presented.
+From these observations, several questions arise, among them we propose:
+Which optimization methods are the most efficient depending on the graph topology?
+How can we adapt these techniques to more complex graph structures?
+Other research questions in this topic can be proposed and discussed.
+These questions can be studied from both theoretical and empirical approach.
+  * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Développer des solutions de data mining pour la société BMW Group Belux =====
+Ce mémoire se fera en collaboration avec des responsables marketing et techniques de cette société.
+Les sujets pourraient couvrir tout ce qui concerne les data, tant les data dites de campagne, communication, que celles liées à la production ou aux véhicules connectés.
+  * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Transposition en logique floue des réseaux de neurones récurrents de type GRU =====
+Ce mémoire consistera en la conception et l'analyse de systèmes de logiques floues, capables d'apprentissage automatique, et très inspirés des réseaux de neurones récurrents de type GRU, utilisés avec succès ces jours-ci pour la traduction automatique, la labélisation automatique d'images, la génération de musique et la conduite de véhicules autonomes.
   * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
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   * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
-===== Etude pratique et expérimentale du langage de programmation F# =====
-Depuis quelques années, Microsoft met en avant un nouveau langage de programmation F# créé dans le sillage des langages dits déclaratifs ou fonctionnels. Il semblerait que ce langage soit idéal pour le traitement des données. Le MFE consistera en une étude expérimentale de ce langage et un comparatif avec les langages de programmation aujourd'hui les plus usités.
- * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
 ===== Etude de l'algorithme du Deep Learning =====
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   * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Utilisation de réseaux de neurones récurrents pour la détection d'arythmies cardiaques =====
+Ce mémoire s'effectuera en collaboration avec le service de cardiologie d'Erasme et consistera en la détection automatique d'apparition d'arythmies cardiaques à l'aide des réseaux de neurones récurrents, qui semblent être très efficaces pour le traitement des séries chronologiques complexes.
-===== Software framework for Ant Colony Optimization =====
+  * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
+===== Text Categorisation and quality control through automatic language processing =====
+This thesis is developed in collaboration with the Energy Efficiency in Industrial Processes (EEIP) company. EEIP is a global industry information network. As part of their activities, they disseminate case studies to various network groups. The goal of the project is to develop an automatic language processing algorithm capable to evaluate the quality (accept / reject) of the proposed case studies and to allocate them to single/multiple categories. Testing and training the algorithm is a key part as it not only requires development and testing of concepts such as how to evaluate quality or definition of requirements for multiple category allocation but the project also has
+to be developed in a limited data environment (+/- 1000 case studies as training set).
+Required skills: A background in machine learning would be helpful.
+  * Contacts :
+    * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]]
+    * [[https://www.ee-ip.org/|Jürgen Ritzek (EE-IP)]]
+===== Software framework for ant colony optimization =====
 Ants have inspired a number of computational techniques and among the most successful is ant colony optimization (ACO). ACO is an optimization technique that can be applied to tackle a wide variety of computational problems that arise in computer science, telecommunications, and engineering. While ACO has a very wide applicability, the development times for effective ACO algorithms can be relatively high. This is due to the fact that each time a new problem is to be tackled by an ACO algorithm, a researcher needs to implement the algorithms almost from scratch.
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 The application of this software framework will be tested on a number of optimization problems.
-Required skills: The candidate should be well acquainted with   programming in object oriented languages.
+Required skills: The candidate should be well acquainted with programming in object oriented languages.
   * Contacts :
     * [[http://iridia.ulb.ac.be/~mdorigo|Marco Dorigo (IRIDIA)]]
+    * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]]
+===== Automated configuration of multi-objective continuous optimizers =====
+Many problems arising in real-world applications involve the optimization of various, often conflicting objectives. While the design of algorithms for tackling multi-objective problems has usually done manually, over the recent years automated design methodologies have been established and proved to be very powerful.
+The goal of this project is to extend the automated design to multi-objective continuous optimization problems. As the basis of the approach, a framework based on the two-phase plus Pareto local search approach will be developed into which basic search techniques for continuous optimization will be integrated. The goal is to build first a flexible framework from which then in a second step effective multi-objective optimizers will be generated exploiting automated algorithm design techniques. The final goal of this work is to participate in algorithm competitions with the goal of challenging the methodology.
+Required skills: The candidate should have very good analytical as well as programming skills.
+  * Contacts :
     * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]]
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-===== Development of remote monitoring software for intelligent structures =====
-S-blocks are dynamically reconfigurable blocks used for autonomous construction applications. When two or more S-blocks are assembled they are capable of communicating with each other over a near field communication (NFC) wireless interface. The goal of this master thesis is to develop software to monitor (and control) the blocks in an intelligent structure remotely over the auxiliary Zigbee-based wireless interface. As only one block in the structure is fitted with this wireless interface, it is required that the other blocks communicate with the PC, via routing messages through the block-to-block NFC interfaces. This will require the software on the S-Blocks to be enhanced to use preemptive task swapping, to allow multiple blocks to communicate with each other simultaneously.
-Required skills: The candidates should understand low level computer concepts such as: interrupts, timers, and registers, have some experience with C/C++ programming, and have a working knowledge of the English language.
-* Contact: [[http://iridia.ulb.ac.be/~mdorigo|Marco Dorigo]] (IRIDIA)
-===== Evolution of Modular Controllers for Simulated and Real Robots =====
-The goal of this master thesis is investigating how modularity in a robot controller can influence the quality of the behaviours obtained through artificial evolution.
-Similarly to the nervous system that can be divided in central and peripheral, the project will study a modular architecture for neural network controllers. The peripheral modules encode the information coming from the sensory subsytems or going to the motor apparatus. The central system encodes the behavioural rules that map sensations to actions. The project will study methods to develop the peripheral modules by maximising the information transfer from the sensory input and to the motor output, on the basis of measures derived from Information Theory.
-The project will involve experimental activities with both simulated and real robots, and will investigate both individual and collective behaviours.
-Required skills: The candidates should be acquainted with C/C++ programming and have a working knowledge of the English language.
-* Contact: [[http://iridia.ulb.ac.be/~vtrianni|Vito Trianni]], Marco Dorigo (IRIDIA)
-===== Localisation and tracking of components in self-assembling systems =====
-The goal of this project is to apply computer vision techniques to track the growth of structures in self-assembling systems. The ability to track the growth of structures will shed light on the dynamics of self-assembly; an aspect of self-assembly that has not been well researched in the macroscopic context.
-As part of the project, the student will have to: (a) find suitable hardware (combination of camera, lens, lighting, etc.), (b) localise multiple components in an environment, (c) track the components in the environment, and (d) track the assembly of components in the environment.
-Required skills: the candidates should be able to program in C++ and have a working knowledge of the English language.
- * Contacts : [[http://iridia.ulb.ac.be/~mdorigo/HomePageDorigo/ | Marco Dorigo]] and Dhananjay Ipparthi (IRIDIA)
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-===== Applications of a hybrid SLS algorithm framework =====
+===== Automated configuration of hybrid algorithms =====
-We have recently developed a software framework from which hybrid stochastic local search algorithms can be designed automatically. This framework has only been applied to a few problems. The goal of this project would be to extend this framework to other problems and compare its results with the methods proposed in the literature. The student will learn to solve combinatorial optimization problems with SLS algorithms, automatic configuration of optimization algorithms, and analysis and comparison of optimization algorithms.
+We have recently developed a software framework from which hybrid local search algorithms can be designed automatically. This framework has only been applied to a few problems. The goal of this project would be to extend this framework to other problems, in particular, vehicle routing problems and to compare the results that can be obtained with the methods proposed in the literature. The student will learn to solve combinatorial optimization problems with heuristic algorithms, automatic configuration of optimization algorithms, and the analysis and comparison of optimization algorithms.
   * Contacts :
     * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]]
     * [[http://code.ulb.ac.be/iridia.people.php?id=1388|Federico Pagnozzi (IRIDIA)]]