Doctoral Symposium In Informatics Engineering

31st of January

Faculty Of Engineering, University Of Porto

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About

12th edition of the Doctoral Symposium in Informatics Engineering

The DSIE’17 (Doctoral Symposium in Informatics Engineering) is part of the "Methodologies for Scientific Research" course held by the Doctoral Program in Informatics Engineering (ProDEI) at Faculty of Engineering of the University of Porto (FEUP) and represents the 12th edition of a series of scientific meetings that have been held since 2005. The event will take place at FEUP on 31st of January of 2017.

The aim of DSIE is to improve graduate students' proficiency in scientific research, writing and presentation skills and develop a spirit of collaborative research.

Symposium participants will expose and discuss their work, while collecting profitable expert opinions and promoting their own experience. The students will also have the opportunity to seek advice on various aspects of completing a PhD and performing research in Informatics Engineering. The sharing of new ideas, methods and applications leads the PhD students to a good improvement of their thesis content.

PhD students are invited to submit their contributions to DSIE'17 to share their ideas and knowledge on their areas of expertise.

All the information about the symposium activities can be found on this web page. We invite you to explore it and get to know about all the details of the event.

Committees

Steering Committee

  • Augusto Sousa
  • Eugénio Oliveira

Junior Scientific Committee

  • Denis Ogura
  • Gil Rocha
  • Gudilak Constantino
  • Guilherme Soares
  • José Macedo
  • Maria Pedroto
  • Massanobu Tachikawa
  • Michael Domingues
  • Pedro Santos
  • Ricardo Lopes
  • Thiago Baldês
  • Tiago Costa
  • Vitor Cerqueira

Senior Scientific Committee

  • Alípio Jorge
  • Ana Paiva
  • Ana Rocha
  • Carlos Soares
  • Fábio Pinto
  • Henrique Lopes Cardoso
  • João Barbosa
  • João Faria
  • João Moreira
  • Rosaldo Rossetti
  • Rui Maranhão
  • Rui Rodrigues
  • Sérgio Nunes

Conference Topics

  • Artificial Intelligence
  • Computer Science
  • Decision Support Systems
  • Intelligent Transportation Systems
  • High Performance Computing
  • Information Technologies
  • Machine Learning and Data Mining
  • Modelling, Simulation and Optimization
  • Software Testing
  • Software Engineering

Authors

Denis Ogura

Informatics Engineering PhD Student

He received his MsC in 2011 from USP (Universidade de São Paulo) with the work on HPC and Cloud computing environment. He has been working on the following themes: cloud computing, hpc and distributed parallel application.

Gil Rocha

ProDEI student at LIACC/FEUP

He finished his MSc in Informatics and Computing Engineering at FEUP in 2016. He works at LIACC, a research lab for artificial intelligence and computer science. His main research topics are argumentation mining, machine learning and multi-agent systems.

Gudilak Constantino

Informatics Engineering PhD Student

His researches are related to computer assisted audit tools and techniques applied in internal bank auditing. He is an MSc in Informatics of Management, from polytechnic Institute of Setubal, and also a business intelligence consultant/specialist. Worked as internal auditor in Bank Millennium of Angola.

Guilherme Soares

Software Engineer at Armis

Finished his MSc in Informatics and Computing Engineering at FEUP in the Intelligent Transportation Systems domain in 2013. Working at Armis Group’s ITS department since then, he is focusing his research and development into the nowadays problems and the tomorrow’s challenges in smart mobility systems.

José Macedo

Software Engineer at Armis

He completed his MSc in 2013 at University of Porto, Portugal, in distributed/multi-paradigm simulation applied to transport systems domain. He works at Armis Group on Intelligent Transport Systems (ITS) department, developing solutions that apply information and communication technologies to the transport sector, providing intelligent services that support the compliance of ITS action plans and objectives to improve traffic condition.

Maria Pedroto

Researcher at ChPorto

Ten years of experience in different areas, such as Mobile Services, Insurance, Transportation and Retail. She is pursuing a PhD while working as a Researcher at ChPorto where she applies different prediction models in Medical Sciences. Her main interests are everything related to Data Mining and Machine Learning, whether it be modeling data, implementing algorithms or defining different methodological approaches to problems.

Massanobu Tachikawa

Software Engineer at Evoleo Technologies

Undergraduated in Computer Engineering at University of Campinas (Unicamp), Brazil plus a MBA in Project Management at Salvador University (Unifacs), Brazil and now enrolled at Doctoral Program in Informatics Engineering (ProDEI), with more than fifteen years of experience in software development. Currently working as engineer and researcher at Evoleo Technologies developing Industry, Health, Railway, Energy, and Space solutions.

Michael Domingues

Software Engineer at Movvo

He received his MSc in 2014 in 3D printing from the University of Aveiro, Portugal. The work developed lead to a modelling and control platform for 3D printers used by BEEVERYCREATIVE. In 2016 he initiated his doctoral program researching about healthcare information extraction studying the archetypes retrieval from medical records into predictive analytics systems.

Pedro Santos

PhD Student

He finished his MSc in 2016 at FEUP, Portugal. He is now enrolled at ProDEI's Doctoral Program. His research area is about machine learning towards fitness and workout mobile applications.

Ricardo Lopes

Software Engineer at Farfetch

Works on developing web solutions in order to improve the overall SEO ranking of Farfetch. All solutions take into account a responsive web design, so that it can be compatible with all devices (desktop, tablets, smartphones) and also automatic tests, a critical step for continuous delivery and continuous testing.

Thiago Baldês

Software Engineer at Jumia

Has been working with software development for 8 years that involves many methodologies including traditional and agile approach for componentization, reusing and services. Currently he works as a web Engineer at Jumia Mall project, providing interoperability to integrate new features on ecommerce platform.

Tiago Costa

Researcher at INESC TEC

Has participated in several National and European projects such as ReCoop, ImTV and AnyPLACE. Public recognition on national media has come with the work done on "a.bel - Nova Música Interactiva", where he was responsible for the development of the interactive mobile platform used during the concerts. In 2016 has start his PhD work on multi-view systems adaptable to network conditions with user movement prediction based on historical data.

Vitor Cerqueira

Researcher at LIAAD/INESCTEC

He works as a Researcher in LIAAD, a laboratory for artificial intelligence and decision support systems. His main research topic is ensembles for time series forecasting tasks.

Call for Papers

PhD and MsC students working in any area of Informatics Engineering are invited to present their on going research work and meet other students and researchers to obtain relevante feedback on future research directions regarding analytical, empirical, methodological and technological based papers. Analytical and empirical papers should make clear the significance and relevance of their potential impact to the community. Similarly, methodological and technological papers should make clear their scientific and technical contributions, and are expected to demonstrate a thorough evaluation of their strengths and weaknesses in practice. Contributions should report on substantial research supported by measurable results.

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable.

Complete manuscripts in PDF format must be formatted according to the Springer LNCS Template , with a length between 10 and 12 pages, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the Paper Submission Page (EasyChair system).

The received submissions will be acknowledged via an automated system. We would recommend that you respect the page limit and do not submit more than one paper per event. At least one author for each accepted contribution must register to ensure that the paper will be included in the conference proceeding.

Contributions will be evaluated using the following criteria:

  • Relevance
  • Originality
  • Quality (including technical content and accuracy)
  • Significance of the work
  • Presentation (organization, style and clearness)
  • Appropriateness of references to papers presented in earlier editions of the event

All papers will be single-blind reviewed by the scientific committee members with the aim to provide detailed and constructive feedback.

Furthermore, reviewers recommendations must be addressed by the authors before they submit the final version.

Authors of accepted papers will have 15 minutes to present their work during the Presentation Sessions, followed by approximately 5 minutes of discussion.

Relevant Dates
  • Deadline of paper submissions: December 26, 2016
  • Authors notification: January 20, 2017
  • Deadline of camera ready papers: January 24, 2017
  • Symposium: January 31, 2017
Submit your paper here

Invited Speaker

Professor João Gama



Lecture

Data Mining for the XXI century



Speaker Biography

João Gama is Associate Professor of the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He has worked in several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc.

He served as Co-Program chair of ECML'2005, DS'2009, ADMA'2009, IDA' 2011, ECML/PKDD'2015, EPIA 2017, and DSAA 2017. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD.

He is author of several books in Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas related to machine learning, data mining, and data streams.

He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He supervised more than 12 PhD students and 50 Msc students.

Proceedings

The Proceedings of the 12th edition of the Doctoral Symposium in Informatics Engineering are available to download here.

Program

Tuesday, January 31, 2017

Program Download

  • (08:30 - 09:00): Welcome Desk / Registration (Room A115)
  • (09:00 - 09:30): Opening Session*
  • (09:30 - 11:00): Session 1: Software Testing* (chaired by Gil Rocha and Denis Ogura)

    Michael Domingues
        Performance testing of open-source HTTP web frameworks in an API

    Pedro Santos
        A Survey on Mutation Testing for Database Applications

    Ricardo Lopes
        Solutions for Automated Mobile Testing Cloud Service

    Thiago Baldês
        Common Threats in Security Testing with Scrum Framework: A Systematic Literature Review
  • (11:00 - 11:30): Coffee-Break (Coffee Lounge)
  • (11:30 - 12:30): Invited Speaker*

    Prof. João Gama
        Data Mining For The XXI Century
  • (12:30 - 14:00): Lunch-Break
  • (14:00 - 15:00): Invited Speaker*

    YAZAKI
  • (15:00 - 16:00): Session 2: Simulation and Optimization* (chaired by Michael Domingues and Tiago Costa)

    Guilherme Soares
        Creating Artificial Societies for Traffic Simulation: a tool using SUMO and JADE

    José Macedo
        Rush Hour Traffic Conditions Impact in Electric Bus Performance: A Case Study in Porto

    Massanobu Tachikawa
        Simulation applied to Software Engineering: An Ad-­hoc Literature Review
  • (16:00 - 17:00): Coffee-Break & Poster Session (Coffee Lounge)
  • (17:00 - 18:00): Session 3: Intelligent Systems* (chaired by Thiago Baldês and Massanobu Tachikawa)

    Denis Ogura
        Epidemic disease: analyzing twitter message behavior with multi-agent system

    Gudilak Constantino
        The Banking Internal Audit Framework

    Tiago Costa
        Interactive Solution for Multimedia Content Evaluation
  • (18:00 - 19:00): Session 4: Machine Learning & Data Mining* (chaired by Ricardo Lopes and Pedro Santos)

    Gil Rocha
        Coreference Resolution in Portuguese: The Impact of Training Set Generation Approaches

    Maria Pedroto
        Comparison of Classification and Regression Approaches to Predict Age of Onset

    Vitor Cerqueira
        Combining Forecasters using Arbitration for Water Consumption Forecasting
  • (19:00 - 19:30): Closing Session*

* All sessions will be presented in Room B032

Venue

DSIE’17 will take place in the city of Porto. The scientific program will be held at the Faculty of Engineering of the University of Porto (FEUP).

Overlooking the Douro River, Porto is one of the most ancient European cities, It was born and developed from the northern bank of this river during the Middle Ages. One of the most significant aspects of Porto and its historical centre is its landscape, combining harmony with the urban structure and presenting a frame of rare beauty. The city was classified as World Heritage by UNESCO in 1996. When discovering Porto, you will find many surprises. Besides its welcoming and conservative environment, Porto is also contemporary and artistic. This is shown not only in the streets, architecture, monuments and museums but also in the terraces, restaurants and leisure and shopping areas.

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Contact Us

Address

R. Dr. Roberto Frias, 4200-464 Porto - Portugal

Phone

+351 225 081 400

E-mail

dsie2017@fe.up.pt