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Computación

L'objectiu del projecte és afegir noves mètafores tant de manipulació com d'interació a la plataforma de visualització de models volumètrics en un entorn de realitat virtual.

Ingeniería de Computadores Computación Sistemas de Información Tecnologías de la información

Companies and scientists working in areas such as finance or genomics are generating enormously large datasets (in the order of petabytes) commonly referred as Big Data. How to efficiently and effectively process such large amounts of data is an open research problem. Since communication is involved in Big Data processing at many levels, at the NaNoNetworking Center in Catalunya (N3Cat) we are currently investigating the potential role of wireless communications in the Big Data scenario. The main focus of the project is to evaluate the impact of applying wireless communications and networking methods to processors and data centers oriented to the management of Big Data. OBJECTIVES =========== N3Cat is looking for students wanting to work in the area of wireless communications for Big Data. To this end, the candidate will work on one of the following areas: - Traffic analysis of Big Data frameworks and applications, as well as in smaller manycore systems. - Channel characterization in Big Data environments: indoor, within the racks of a data center, within the package of CPU, within a chip. - Design of wireless communication protocols for computing systems from the processor level to the data center level.

Ingeniería de Computadores Computación

Machine Learning (ML) has taken the world by storm and has become a fundamental pillar of engineering. As a result, the last decade has witnessed an explosive growth in the use of deep neural networks (DNNs) in pursuit of exploiting the advantages of ML in virtually every aspect of our lives: computer vision, natural language processing, medicine or economics are just a few examples. However, NOT all DNNs fit to all problems: convolutional NNs are good for computer vision, recurrent NNs are good for temporal analysis, and so on. In this context, the main focus of N3Cat and BNN-UPC is to explore the possibilities of the new and less explored variant called Graph Neural Networks (GNNs), whose aim is to learn and model graph-structured data. This has huge implications in fields such as quantum chemistry, computer networks, or social networks among others. OBJECTIVES =========== N3Cat and BNN-UPC are looking for students wanting to work in the area of Graph Neural Networks studying their uses, processing architectures, and algorithms. To this end, the candidate will work on ONE of the following areas: - Investigating the state of the art on this area, surveying the different works done in terms of applications, processing frameworks, algorithms, benchmarks, datasets. This can be taken from a hardware or software perspective. - Helping to build a testbed formed by a cluster of GPUs that will be running pyTorch or Tensorflow. We will instrument the testbed to measure the computation workload and communication flows between GPUs. - Analyzing the communication workload of running a GNN either in the testbed or by means of architectural simulations. - Developing means of accelerating GNN processing in software (e.g., improving scheduling of the message passing) or hardware (e.g. designing a domain-specific architecture).

Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

Robotic Process Automation is receiving significant attention, due to the promise of improving the performance of the main processes of an organization by incorporating robots that partially perform repetitive tasks. In this project, we will consider how Process Mining can help into finding opportunities to apply Robotic Process Automation for a real case study.

Sistemas de Información Tecnologías de la información

Dissenyar i desenvolupar una aplicació informàtica per facilitar el contacte entre els membres d'associacions culturals o de lleure amb l'objectiu de millorar la seva relació, augmentar l'assistència als actes i la participació en les activitats que organitzen aquestes associacions. Com a prova pilot, es posarà en producció una versió de l'aplicació per a la Confederació Sardanista de Catalunya.

Computación

The scope of this TFG project is to address the second part of the 16th Hilbert problem numerically and develop a parallel code that will run on a dedicated NVidia Titan V graphic card (15 TFLOPS float performance). The parallel code is to be written either directly in CUDA programming language either by using python or Julia frontends. There is a dedicated computer with two NVidia graphic cards that can be used for running the code.

Ingeniería de Computadores Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

The main goal of this project is to develop a network monitoring system that can be used by network operators to detect bitcoin miners (or miners from other blockchain technologies) in their network. The system will rely only on network measurements obtained by standard network measurement tools and estimate interesting characteristics of detected miners, such as power consumption. How to apply: Please send an email to with your CV and academic file (pdf can be generated from the Raco).

Computación

L'objectiu del projecte és aplicar tècniques de Reinforcement Learning per a fer que un cotxe no es surti de la carretera en un simulador. S'aplicaran tècniques de Transfer Learning per fer un aprenentatge gradual del comportament de l'agent.

Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

Web tracking technologies are extensively used to collect large amounts of personal information (PI), including the things we search, the sites we visit, the people we contact, or the products we buy. Although it is commonly believed that this data is mainly used for targeted advertising, some recent works revealed that it is exploited for many other purposes, such price discrimination, financial credibility, insurance coverage, government surveillance, background scanning or identity theft. The main objective of this project is to apply network traffic monitoring and analysis technologies to uncover the particular methods used to track Internet users and collect PI. This project will be useful for both Internet users and the research community, and will produce open source tools, real data sets, and publications revealing most privacy attempting practices. Some preliminary results of our work in this area were recently published in Proceedings of the IEEE (IF: 9.237) and featured in a Wall Street Journal article.

Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

Most EU citizens are concerned about online privacy. EPRIVO aims at building a European data-driven observatory that automatically looks for online services that do not respect our privacy rights.

Ingeniería de Computadores Computación Sistemas de Información Ingeniería del Software Tecnologías de la información

The identification of the applications behind the network traffic (i.e. traffic classification) is crucial for ISPs and network operators to better manage and control their networks. However, the increasing use of encryption and web-based applications makes this identification very challenging. This problem is exacerbated with the widespread deployment of content distribution networks (e.g. Akamai) and cloud-based services (e.g. Amazon AWS). The goal of this project is to develop a traffic monitoring tool to accurately identify web services from HTTPS traffic, including Google, YouTube, Facebook, Twitter among others. The tool will combine the information from IP addresses and DNS, with novel classification methods inspired on the Google PageRank algorithm to identify encrypted traffic, even if served from Akamai, AWS or Google infrastructures. This project will be carried out in collaboration with the tech-based company Talaia Networks (https://www.talaia.io), which develops cloud-based network monitoring solutions.

Computación

Reading charts in desktop and virtual reality environments can be difficult depending on the configuration of different parameters such as the width and height of different visual marks. The project aims to explore the perceptual limits of a set of well-known visualization techniques in desktop and VR-based environments.

Computación Tecnologías de la información

UPC and Nestlé are offering a new position to develop the TFG in the field of Machine Learning and Cybersecurity. This TFG will be fully funded (internship) and carried out in collaboration with the Global Security Operations Center of Nestlé and UPC.

Computación

The goal of the project is to create an application that facilitates the segmentation of medical models using immersive techniques.

Ingeniería del Software

While digital imaging devices have almost entirely substituted analog films in professional and amateur photography, only now digital X-ray imaging devices start being used in dental clinics. Such scanners allow much faster and convenient creation of individual teeth typically as black and white images. One of the important practical purposes is the detection of caries growth or of other alterations in the teeth. So far this is being done by the medic doctors in an old-fashioned way. The goal of this project is to develop software capable of detecting structural changes.

Computación

In a recent experiment (https://arxiv.org/abs/2002.10475) with ultracold dysprosium atoms, it was possible to realize a dipolar gas in one-dimensional geometry at low temperature. The goal of the project is to provide realistic simulation of such a system. To do so, quantum Monte Carlo code has to be developed.

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