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--- teaching:projh402 [2014/10/24 08:54]
svsummer [Project proposals]
+++ teaching:projh402 [2022/09/06 10:39]
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-====== MA Computer Science Projects (PROJ-H-402)  ======
+====== PROJ-H-402 : Computing Projects ======
+This is the list of Computing Projects topics proposed for the current academic year by the CoDE department, École polytechnique de Bruxelles, ULB.
-===== Course objective =====
-The course PROJ-H-402 is managed by Dr. Mauro Birattari. Please refer to the course description page http://iridia.ulb.ac.be/proj-h-402/index.php/Main_Page for the rules concerning the project.  What follows is a list of project proposals supervised by academic members of CoDE.
-===== Project proposals =====
-==== Principles of Database Management Architectures in Managed Virtual Environments ====
-With the gaining popularity of Big Data, many data processing engines
-are implemented in a managed virtual environment such as the Java
-Virtual Machine (e.g., Apache Hadoop, Apache Giraph, Drill,
-...). While this improves the portability of the engine, the tradeoffs
-and implementation principles w.r.t. traditional C++ implementations
-are sometimes less understood.
-The objective in this project is to develop some basic functionalities
-of a database storage engine (Linked files, BTree, Extensible Hash
-table, basic external-memory sorting ) in a managed virtual machine
-(i.e., the Java Virtual Machine or and the .NET Common Language
-Runtime), and compare this with a C++-based implementation both on (1)
-ease of implementation and (2) execution efficiency. In order to
-develop the managed virtual machine implementation, the interested
-student will need to research the best practices that are used in the
-above-mentioned projects to gain maximum execution speed (e.g., use of
-the java.lang.unsafe feature, memory-mapped files, ...).
-**Contact** : Stijn Vansummeren (stijn.vansummeren@ulb.ac.be)
-**Status**: available
-==== Development of a compiler and runtime engine for AQL ====
-In 2005, researchers at the IBM Almaden Research Center developped a
-new system specifically geared for practical information extraction in
-the enterprise. This effort lead to [[https://www.google.be/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&ved=0CEYQFjAB&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.179.356%26rep%3Drep1%26type%3Dpdf&ei=gyhIUe-XPIexPJ-fgLAG&usg=AFQjCNHgkbcREbd6bCA26BVf0FuIZ9n7Sg&sig2=LVQkus_67uSVlwK34BXZ8w&bvm=bv.43828540,d.ZWU|SystemT]] , a rule-based IE system with an SQL-like declarative language named [[http://pic.dhe.ibm.com/infocenter/bigins/v2r0/topic/com.ibm.swg.im.infosphere.biginsights.analyze.doc/doc/aql_overview.html|AQL (Annotation Query Language)]].
-The declarative nature of AQL enables new kinds of tools for extractor
-development, and a cost-based optimizer for
-performance.
-The goal of this project is to develop an open-source compiler and
-runtime environment of (a simplified version of) AQL.
-**Contact** : Stijn Vansummeren (stijn.vansummeren@ulb.ac.be)
-**Status**: available
-==== Development of a distributed simulation algorithm ====
-Simulation and Bisimulation are fundamental notions in computer
-science. They underly many formal verification algorithms, and have
-recently been applied to the construction of so-called structural
-indexes,which are novel index data structures for relational databases
-and the Semantic Web.  Essentially, a (bi)simulation is a relation on
-the nodes of a graph. Unfortunately, however, while efficient
-main-memory algorithms for computing whether two nodes are similar
-exist, these algorithms fail when no the input graphs are too large to
-fit in main memory.
-The objective of this project is to implement a recently proposed
-algorithm for  computing simulation in a distributed setting, and
-provide a preliminary performance evaluation of this implementation.
-**Contact** : Stijn Vansummeren (stijn.vansummeren@ulb.ac.be)
-**Status**: available
-==== Development of a Personal Scientific Digital Library Management System ====
-In this project, the student is asked to construct a software system to help manage large collections of scientific papers in digital form. Specifically, the system must be able to:
-  - Scan a given filesystem location for given filetypes (PDFs, EPUB, ...) containing scientific articles.
-  - Extract the metadata from each identified file. Here, the metadata includes the title of the article, its authors, the publishing venue, the publisher, the year of publication, the article's abstract ... The development of an intelligent way to retreive this metadata is requried. This could be done, for example by a combination of parsing the file, contacting the internet repositories of known publishers (AMC, Springer, Elsevier) etc to retrieve the data.
-  - Offer search capabilities, in order to allow a user to find all indexed articles matching certain criteria (title, author, ...)
-  - Offer archiving capabilities
-Use of semantic web technologies (RDF, SPARQL, ...) to store and search the metadata is encouraged.
-**Contact** : Stijn Vansummeren (stijn.vansummeren@ulb.ac.be)
-**Status**: taken
+  * [[teaching:projh402:wis|Data Science and Engineering]]
+  * [[teaching:projh402:ia|Artificial Intelligence]]
+  * [[teaching:projh402:or|Operational Research and Decision Aid]]