Tracks

Select one of the below tracks to view more information.

Foundations of Data Science and Engineering

The ‘Foundations of Data Science and Engineering’ track is devoted to all aspects of eliciting, acquiring, modeling, storing, managing, processing, and analyzing data, with a special reference to large-scale datasets. Contributions concerning the nature of data, the techniques used for data management and analysis, the theory for extracting information from data, machine learning for data management, and the principles for data intensive computing are welcome.

Track Chair

Herodotos Herodotou – herodotos.herodotou@cut.ac.cy
Cyprus University of Technology, Cyprus

Topics include (but are not limited to):
  • Data and Information Quality
  • Data Integration, Interoperability, and Metadata Management
  • Data Models and Query Languages
  • Query Processing, Indexing, and Optimization
  • Transaction Management
  • Distributed, Parallel, and P2P Data Processing and Management
  • High Performance Processing
  • Data Semantics and Linked Data
  • Spatial, Temporal, Mobile, and Multimedia Data
  • Web Data and Social Networks
  • Graph-based Data
  • Probabilistic and Uncertain Data
  • Data Streams and Sensor Networks
  • Data Warehousing
  • Information Extraction and Retrieval
  • Data Mining and Knowledge Discovery
  • Machine Learning, Deep Learning
  • Recommender Systems
  • Query and Natural Language Processing
  • Knowledge Modeling and Processing
  • Knowledge Acquisition and Engineering
  • Provenance in Data Management
  • Data Visualization and Interactive Data Exploration
  • Fairness, Diversity, Neutrality, and Trasparency in Data Science
  • Data Privacy, Security, and Trust
  • Benchmarking and Performance Evaluation
  • Data Applications and Experiences
  • Business Process Modeling, Automation, and Management
Program Committee
  • Fabio Anselmi, IIT- Istituto Italiano di Tecnologia, Italy
  • Ladjel Bellatreche, Poitiers University, France
  • Sadok Ben Yahia, University of Tunis El Manar, Tunisia
  • Maria Bielikova, Slovak University of Technology in Bratislava, Slovakia
  • Stephane Bressan, National University of Singapore, Singapore
  • Francesco Buccafurri, University of Reggio Calabria, Italy
  • Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
  • Johann Eder, Alpen Adria Universität Klagenfurt, Austria
  • Johann Gamper, Free University of Bozen-Bolzano, Italy
  • Giovanna Guerrini, DIBRIS- University of Genova, Italy
  • Theo Härder, Universität Kaiserslautern, Germany
  • Irena Holubova, Charles University in Prague, Czech Republic
  • Selma Khouri, ESI, Algeria
  • Georgia Koutrika, Athena Research Center, Greece
  • Sebastian Link, The University of Auckland, New Zealand
  • Beatrice Markhoff, LI – Université François Rabelais Tours, France
  • Paolo Missier, Newcastle University, UK
  • Luc Moreau, King’s College London, UK
  • Rim Moussa, ENI-Carthage, Tunisia
  • Gunter Saake, University of Magdeburg, Germany
  • Sherif Sakr, University of Tartu, Estonia
  • Eike Schallehn, Otto-von-Guericke-University Magdeburg, Germany
  • Ayumi Shinohara, Tohoku University, Sendai, Japan
  • Ernest Teniente, Universitat Politècnica de Catalunya, Spain
  • Olivier Teste, Université de Toulouse, France
  • Martin Theobald, University of Luxemburg, Luxembourg
  • Eleftherios Tiakas, Aristotle University of Thessaloniki, Greece
  • Farouk Toumani, Limos, Blaise Pascal University, Clermont-Ferrand, France
  • Athena Vakali, Aristotle University of Thessaloniki, Greece
  • Panos Vassiliadis, University of Ioannina, Greece

Foundations of Software Engineering

The ‘Foundations of Software Engineering’ track presents and discusses the research on novel and innovative methods and technologies in the broader field of software engineering, including both software product and development process aspects. The track explores theories, methods and tools aiming at significantly increasing both the quality of software-intensive systems and the productivity of software development. The track promotes the discussion and interaction among researchers and practitioners on innovations and experiences for various challenges in software engineering.

Track Chair

Alexander Chatzigeorgiou – achat@uom.gr
University of Macedonia, Greece

Topics include (but are not limited to):
  • Methods and tools for improved software processes
    • Process modeling, composition, and enactment/simulation
    • Agile/lean development
    • User-centered development
    • Method engineering
    • Quality assurance, technical debt, inspections, testing
  • Software architecture of complex software-intensive systems
    • Architecture, components, services
    • Software reuse, product lines, and software ecosystems
    • Software architectures for cloud/fog/edge systems
  • Requirements Engineering
  • Model-based software engineering methods and tools (including model-based development and testing, model transformations and versioning, model and meta-model co-evolution)
  • Data-driven improvement of methods, models, and tools
    • Quantitative models for development processes and products
    • Continuous delivery/integration and DevOps, software process and product evolution with feedback from operation
    • Legacy modernization/migration
    • Model mining techniques
    • Repository mining
    • Empirical studies and experimental approaches
  • Methods and tools for software engineering applications (including Process-centered information systems, Web-based systems, Mobile systems, Game development, Intelligent technical systems, Internet of Things)
  • Empirical Software Engineering
    • Qualitative and Quantitative studies
    • Case studies, experiments and surveys
    • Data mining from software repositories and applications of machine learning in software engineering
    • Secondary and tertiary studies

In particular, we encourage submissions demonstrating the benefits or limitations of SE approaches through case studies, experiments, and quantitative data.


Program Committee
  • Apostolos Ampatzoglou, University of Macedonia, Greece
  • Francesca Arcelli Fontana, University of MIlano Bicocca, Italy
  • Rami Bahsoon, University of Birmingham, United Kingdom
  • Mária Bieliková, Slovak University of Technology in Bratislava, Slovakia
  • Stefan Biffl, Vienna University of Technology, Austria
  • Miklós Biro, Software Competence Center Hagenberg), Austria
  • Jalil Boudjadar, AArhus University, Denmark
  • Johann Eder, Alpen Adria Universität Klagenfurt, Austria
  • João Paulo Fernandes, University of Coimbra, Portugal
  • Marios Fokaefs, Ecole Polytechnique de Montréal , Canada
  • Mirjana Ivanovic,  University of Novi Sad, Serbia
  • Clemente Izurieta, Montana State University, USA
  • Johan Jeuring , Open Universiteit Nederland and Universiteit Utrecht, Netherlands
  • Foutse Khomh, Ecole Polytechnique de Montréal , Canada
  • Günter Kniesel, University of Bonn, Germany
  • Maurizio Leotta, University of Genova, Italy
  • Antonio Martini, University of Oslo, Norway
  • Jerzy Nawrocki, Poznan University of Technology, Poland
  • Boris Novikov, National Research University Higher School of Economics, Saint Petersburg, Russia.
  • Fabio Palomba, University of Zurich, Switzerland
  • Mel O’Cinneide, University College Dublin, Ireland
  • Miroslaw Ochodek, Poznan University of Technology, Poland
  • Alexander Serebrenik, Eindhoven University of Technology, Netherlands
  • Krzysztof Stencel, University of Warsaw, Poland
  • Andreas Symeonidis, Aristotle University of Thessaloniki, Greece
  • Davide Taibi, Tampere University, Finland
  • Valentino Vranić, Slovak University of Technology in Bratislava, Slovakia
  • Wolf Zimmermann, Martin Luther University Halle-Wittenberg, Germany

Foundations of Computer Science

The track is devoted to the recognized core areas of foundational computer science including the theories and application of algorithms and their complexity, automata and languages, computability, data analytics, formal models, intelligent systems, programming semantics, science-inspired computing and foundations of information and software systems. Original contributions showing the value of fundamental research in areas like artificial intelligence and data science are welcome as well.

Track Chair

Christos Kapoutsis – cak@cmu.edu
Carnegie Mellon University in Qatar, Qatar

Topics include (but are not limited to):
  • Algorithms (including game-theoretic, geometric, network, graph, parametrized, exact, approximation, randomized, evolutionary, and online algorithms)
  • Automata, languages, and rewriting systems
  • Bio-inspired computing
  • Combinatorial optimization and simulation
  • Complexity theory (incl. computational, descriptional, fine-grained, and parametrized complexity)
  • Computability and decidability
  • Cryptographic algorithms and security
  • Data structures
  • Experimental algorithmics
  • Formal models of systems (incl. concurrent, hybrid, reactive, mobile, timed, and stochastic processes and systems)
  • Foundations of agent systems and artificial intelligence
  • Graphs and networks
  • Machine learning
  • Non-classical models of computing (incl. computing by nature, cellular automata, neural computing, cognitive computing, nano-computing, self-assembly)
  • Parallel and distributed computing
  • Physics of computation
  • Quantum computation and quantum information
  • Theory of databases, semi-structured data, and finite model theory
  • Theory of programming languages
Program Committee
  • Andris  Ambainis, University of Latvia, Latvia
  • Hans-Joachim Böckenhauer , ETH Zurich, Switzerland
  • Volker Diekert , University of Stuttgart, Germany
  • Martin  Dietzfelbinger, Technische Universität Ilmenau, Germany
  • Pierre  Fraigniaud, CNRS and University Paris Diderot, France
  • Loukas Georgiadis, University of Ioannina, Greece
  • Yo-Sub Han, Yonsei University, South Korea
  • Markus Holzer, Universität Giessen , Germany
  • Kazuo  Iwama, Kyoto University, Japan
  • Tomasz  Jurdzinski, University of Wroclaw, Poland
  • Christos Kapoutsis, Carnegie Mellon University in Qatar, Qatar
  • Jarkko Kari, University of Turku, Finland
  • Dennis Komm, ETH Zurich, Switzerland
  • Rastislav Kralovic, Comenius University, Solvakia
  • Evangelos Kranakis, Carleton University, Canada
  • Elvira  Mayordomo, Universidad de Zaragoza, Spain
  • Carlo  Mereghetti, University of Milan, Italy
  • Nelma  Moreira, University of Porto, Portugal
  • Alexander  Okhotin, St. Petersburg State University, Russia
  • Giovanni Pighizzini, University of Milan, Italy
  • Andrei Popescu, Middlesex University London, UK
  • Igor Potapov, University of Liverpool, UK
  • Kai Salomaa, Queen’s University, Canada
  • Cem Say, Bogazici University, Turkey
  • Shinnosuke Seki, The University of Electro-Communications, Japan
  • Peter Van Emde Boas, ILLC-FNWI-Universiteit van Amsterdam, Netherlands
  • Abuzer Yakaryilmaz, University of Latvia, Latvia
  • Tomoyuki Yamakami, University of Fukui, Japan
  • Christos Zaroliagis, CTI and Univesrity of Patras, Greece
  • Thomas  Zeugmann, Hokkaido University, Japan

Foundations of Algorithmic Computational Biology

The track is devoted to complexity and algorithmic novelties to solve problems in computational biology. More precisely, it aims at displaying research using graph algorithms, string algorithms and combinatorial optimization to deal with problems arising from biology. Papers may be purely theoretical contributions with limited biological application, or a mixture of theoretical and experimental contributions, with a relevant algorithmic part.

Track Chairs

Florian Sikora – florian.sikora@dauphine.fr
Université Paris-Dauphine, France

Riccardo Dondi – riccardo.dondi@unibg.it
University of Bergamo, Italy

Track topics

The track focuses on discrete algorithms (approximation algorithms, exact algorithms, fixed-parameter algorithms) and complexity results for the following topics (but not limited to):

  • alignment and assembly of sequences
  • biological networks
  • cancer genomics
  • comparative genomics
  • gene expression
  • phylogenetics
  • sequence analysis
  • system biology

Program Committee

  • Mukul S. Bansal, University of Connecticut, USA
  • Guillaume Blin , University of Bordeaux , France
  • Edouard Bonnet, ENS Lyon, CNRS, France
  • Laurent Bulteau, Université Paris-Est Marne-la-Vallée, CNRS, France
  • Cedric Chauve, Simon Fraser University, Canada
  • Zhi-Zhong Chen, Tokyo Denki University, Japan
  • Bhaskar DasGupta, University of Illinois at Chicago, USA
  • Peter Damaschke, Chalmers University, Sweden
  • Riccardo Dondi, Università di Bergamo, Italy
  • Mohammed El-Kebir, University of Illinois at Urbana-Champaign, USA
  • Oliver Eulenstein, Iowa State University, USA
  • Guillaume Fertin, Université de Nantes, France
  • Pawel Gorecki, University of Warsaw, Poland
  • Danny Hermelin, Ben-Gurion University, Israel
  • Leo van Iersel, University of Twente, Netherlands
  • Jesper Jansson, The Hong Kong Polytechnic University, Hong Kong
  • Minghui Jiang, Utah State University, USA
  • Mark Jones, TU Delft, Netherlands
  • Iyad A. Kanj, DePaul University, USA
  • Christian Komusiewicz, Philipps-Univeristat at Marburg, Germany
  • Manuel Lafond, Université de Sherbrooke, Canada
  • Michael Lampis, Université Paris Dauphine, France
  • Zsuzsanna Lipták, Università di Verona, Italy
  • Giancarlo Mauri, Università di Milano-Bicocca, Italy
  • Neeldhara Misra, Indian Institute of Technology, India
  • Nadia Pisanti, Università di Pisa, Italy
  • Alberto Policriti, Università di Udine, Italy
  • Alex Popa, University of Bucharest, Romania
  • Raffaella Rizzi, Università di Milano-Bicocca, Italy
  • Eric Rivals, Université de Montpellier, CNRS, France
  • Marinella Sciortino, Università di Palermo, Italy
  • Celine Scornavacca, Université de Montpellier, CNRS, France
  • Florian Sikora, Université Paris Dauphine, France
  • Gabriel Valiente, Technical University of Catalonia, Spain
  • Stephane Vialette, Université Paris-Est Marne-la-Vallée, CNRS, France
  • Mathias Weller, Université Paris-Est Marne-la-Vallée, CNRS, France
  • Meirav Zehavi, Ben-Gurion University, Israel
  • Louxin Zhang, National University of Singapore, Singapore

Student Research Forum

The Student Research Forum (SRF) has a long tradition in SOFSEM conferences series. SRF provides Master and PhD students with an opportunity to present, discuss and publish their research and results. Every student paper is reviewed and evaluated by the regular program committee of SOFSEM 2020, thus providing young researchers with a detailed comments and feedback. A student session devoted to student papers will take place during the SOFSEM 2020 conference allowing students to present their results and at the same time to establish new fruitful collaborations. The best student paper and the best poster will be announced and awarded during the SOFSEM 2020 closing ceremony.

Forum Chair

Theodoros Tzouramanis – ttzouram@uth.gr 
University of Thessaly,Greece