Opportunities for Master and PhD students
THI - Technische Hochschule Ingolstadt - 2020

Pontifícia Universidade Católica do Paraná (PUCPR), combines international campus with top ranked undergraduate and graduate programs, and innovative research projects in partnership with international organizations and universities. PPGia is one of its graduate programs.
The Graduate Program in Informatics (PPGIa) prepares researchers to excel in the fast-growing and dynamic field of informatics. Established in 1996, PPGIa offers research degrees at Masters and PhD levels. Every year, around 15 Masters and 15 PhD candidates enrolled.
Visit PUCPR International for more information about PUCPR.

Faculty

Research Areas

Data Science: Machine Learning: Theory and Applications, Bioinformatics, Music Information Retrieval

Artificial Intelligence: Agent Systems, Computational Linguistics, Knowledge-Based Systems

Systems Engineering: Cyberphysical Systems: IoT, Software Engineering, Security and Privacy Computer Vision

Research Groups

Software Agents: Adaptive and Autonomous Agents, Learning Agents, Process Mining.

Security and Privacy: Access Control, Identity Management, Intrusion Detection System, Computer Forensics.

Music Information Retrieval: Automatic Labelling in Audio and Video, Music Information Retrieval.

Knowledge Discovery and Machine Learning: Machine Learning, NLP, Big Data Analytics, Information Retrieval.

Software Engineering: Software Quality, Software Metrics, Organizational Learning, Software Process Improvement.

Computer Networks and Communications: Network Management, IoT, Service Quality, Mobile Networks, Wireless Networks.

Computer Vision Information Retrieval, Pattern Recognition, Image Analysis, Biometry.

Opportunities for 2020

Opportunities for THI students (master and doctorate degree).

in short term stays (3 to 6 months).



Projects

Dr. Alceu Britto Jr. (alceu@ppgia.pucpr.br)

Research

  • Machine learning applied to face expression recognition, audio understanding, medical images, biometric solutions (face, periocular region, iris), plant species identification, automotive safety systems;
  • Document image retrieval and pattern spotting;
  • Ensembles of classifiers;
  • Dynamic selection of classifiers;
  • Deep Learning (deep model optimization and memory integrity).

Dr. Altair Santin (santin@ppgia.pucpr.br)

Research

  • Big data (including streaming) and machine learning (including adversary settings) for cyber security;
  • Big data (including streaming) and machine learning (including adversary settings) for cyber security;
  • Big data and machine learning for IoT, smart grid, cloud computing, email spam and intrusion detection;
  • Depth learning for pornography detection (including child sexual abuse) for parental control;
  • Identity Management and Access Control, applying these techniques to the Industrial Critical System.

Dr. Emerson Cabrera Paraiso (paraiso@ppgia.pucpr.br)

Research

  • Game analytics: machine learning for identifying players' commitment based on usage data;
  • Multilabel classification in Sentiment Analysis applications.

Dr. Jean Barddal (jean.barddal@ppgia.pucpr.br)

Research

  • Supervised learning: data stream classification and regression;
  • Unsupervised learning: data stream clustering and outlier detection;
  • Data pre-processing: how to handle high-dimensionality, text data, etc, on streaming data;
  • Distributed stream processing;
  • Green computing: the gap between machine learning and power consumption;
  • Machine learning and Law: the intersection between these areas w.r.t. applications of ML in Law, and vice-versa, such as GDPR and the Brazilian LGPD.

Dr. Marcelo Pellenz (marcelo@ppgia.pucpr.br)

Research

  • Information-Centric Protocols for Big Data Gathering in Large WSNs;
  • Energy-Efficient Communication Protocols for Smart Agriculture Applications;
  • Design of Wireless Network Architectures for the Internet of Things (IoT);
  • Algorithms for Planning and Deployment of High-Density WLANs;
  • Physical Layer Security Mechanisms for Wireless Networks;
  • Design and Performance Evaluation of LoRa-based Wireless Networks for Smart Cities;
  • Short Range Acoustic Communication Strategies;
  • Underwater Acoustic Communication for Environmental Monitoring.

Dr. Sheila Reinehr (sheila.reinehr@pucpr.br)

Research

  • Software product line for cyberphisical systems;
  • Software Quality, Software Metrics, Organizational Learning, Software Process Improvement.

Courses (in English)

Title: Data Science

Content: Basic statistics: distributions, kurtosis and symmetry. Correlations: Pearson and spearman. Data Visualization. Exploratory Data Analysis: univariate and multivariate data analysis. Identification and treatment of missing values. Identification of outliers. Dimensionality reduction: PCA and t-SNE.

When: March-May/2020

Title: Advanced Topics in Computational Intelligence

Content: Multilabel Classification. Hierarchical Classification. Data stream mining: definition, tasks, validation, assessment, and challenges. Concept drift and change detectors. Data Stream classification: instance-based, bayesian, decision trees, and ensemble-based approaches. Data stream regression: regression model trees, ensembles. Data stream clustering: main algorithms and challenges.

When: September-November/2020.

Contact

About the city of Curitiba

PPGIa is located in Curitiba, the capital of the Paraná state.

Tourist information about Curitiba:.

Special Paraná
BE - Brazilian Experience


Contact

Dr. Emerson Cabrera Paraiso

Head of Graduate Program in Informatics

+55 41 3271 1669 / 1777

paraiso@ppgia.pucpr.br