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Bioinformatics 2020, 11th International Conference on Bioinformatics Models, Methods and Algorithms (Valetta, Malta - February 24-26, 2020)

  • ID: 4807274
  • Conference
  • Location: Valetta, Malta
  • 3 Days
  • Conference Dates: February 24-26, 2020
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Bioinformatics 2020 is the 11th International Conference on Bioinformatics Models, Methods and Algorithms and is part of BIOSTEC, the 13th International Joint Conference on Biomedical Engineering Systems and Technologies.

The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms ais to bring together researchers and practitioners interested in the design and application of modeling frameworks, algorithmic concepts, computational methods, and information technologies to address challenging problems in Bioinformatics and Biomedical research.

There is a tremendous need to explore how mathematical, statistical and computational techniques can be used to better understand biological processes and systems while developing new methodologies and tools to analyze the massive currently-available biological data. Areas of interest to this community include systems biology and biological networks (regulatory, neuronal, predator-prey, ecological ones, etc.), sequence analysis, biostatistics, graph models, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas.

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  • Petia Radeva Ms Petia Radeva,
    Professor ,
    Universitat de Barcelona

    Prof. Petia Radeva completed her undergraduate study on Applied Mathematics and Informatics at the University of Sofia, Bulgaria, in 1989. In 1996, she received a Ph.D. degree in Computer Vision at UAB. In 2007, she moved as Tenured Associate professor at the Universitat de Barcelona (UB), Department of Mathematics and Informatics, where from 2009 to 2013 she was Director of Computer Science Undergraduate Studies. In 2018, Petia Radeva became Full professor at the Universitat de Barcelona.

    Petia Radeva is Head of the Consolidated Group Computer Vision at the University of Barcelona (CVUB) at UB and Head of the Medical Imaging Laboratory of Computer Vision Center. Petia Radeva’s research interests are on Development of learning-based approaches (especially, deep learning) for computer vision, and their application to health. Currently, she is involved on projects that study the application of wearable cameras and life-logging, to extract visual diary of individuals to be used for memory reinforcement of patients with mental diseases (e.g. Mild cognitive impairment). Moreover, she is exploring how to extract semantically meaningful events that characterize lifestyle and healthy habits of people from egocentric data. Petia Radeva is Principal Investigator of the Universitat de Barcelona in two European projects devoted to food intake monitoring for patients with kidney transplants and for older people. There her team applies most recent and advanced methods for food image analysis using Deep learning models. Petia Radeva is REA-FET-OPEN vice-chair from 2015 and has actively participated from 2018 as a mentor in the Wild Cards EIT program.

    Petia Radeva is associate editor of Pattern Recognition journal and International Journal of Visual Communication and Image Representation. She obtained the ICREA award from the Catalonian Government for her scientific merits in 2014, the international award “Aurora Pons Porrata” from CIARP in 2016 and the Prize “Antonio Caparrós” for the best technology transfer project of 2013.

  • Roy Ruddle Mr Roy Ruddle,
    Professor of Computing ,
    University of Leeds

    Roy Ruddle is a Professor of Computing at the University of Leeds (UK), and an Alexander von Humboldt Foundation and Alan Turing Institute Fellow. He has worked in academia and industry, and researches visualization, visual analytics and human-computer interaction in spaces that range from high-dimensional data to virtual reality.

  • Helena Canhão Ms Helena Canhão,
    Universidade NOVA de Lisboa

    Graduate, PhD and Habillitation in Medicine from Faculty of Medicine, University of Lisbon, Portugal. She also holds a Master's Degree in Clinical Research from Harvard Medical School, Harvard University, USA.

    Head of EpiDoC Research Unit, CEDOC, CHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal.

    She is Full Professor of Medicine at NOVA Medical School, Invited Full Professor at National School of Public Health and Head of Rheumatology Unit, CHLC- Hospital Curry Cabral, Lisbon.

    She is board member of the Council of Universidade NOVA de Lisboa, and board member Council of NOVA Medical School, UNL.

    Elected President of the Portuguese Society of Rheumatology, President of the EpiSaude Association and Co-leader and Chief Medical Officer for the Patient Innovation Project.

    She chairs the Advisory Board of Value4Health CoLab and coordinates NOVA Saude Ageing Group. 
    She authored and co-authored more than 200 peer-reviewed publications and edited 5 books and 25 book chapters in the fields of medicine, rheumatology, innovation and clinical research.

  • Andreas Holzinger Mr Andreas Holzinger,
    Medical University Graz

    Andreas Holzinger is lead of the Holzinger Group (Human-Centered AI) at the Medical University Graz and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute in Edmonton, Canada. Since 2016 he is Visiting Professor for Machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission.

    Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his Habilitation in Computer Science from TU Graz in 2003. He founded the Network HCI-KDD to foster a synergistic combination of methodologies of two areas that offer ideal conditions toward unraveling problems in understanding intelligence towards context-adaptive systems: Human-Computer Interaction (HCI) & Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with artificial intelligence. Andreas is Associate Editor of Springer/Nature Knowledge and Information Systems (KAIS), Section Editor for Machine Learning of Springer/Nature BMC Medical Informatics and Decision Making (MIDM), and Editor-in-Chief of Machine Learning & Knowledge Extraction (MAKE). In his function as Austrian Representative for Artificial Intelligence in IFIP TC 12, he is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). Since 2003 Andreas has participated in leading positions in 30+ R&D multi-national projects, budget 6+ MEUR, 300+ publications, 11k+ citations, h-Index = 47.

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Grand Hotel Excelsior
Great Siege Road
FRN 1810


The Hotel is located in the center of Valletta, capital city of Malta, and it allows for easy access to all tourist locations around the Maltese Islands. It is only a few minutes away from the main bus terminus providing services to all towns and villages.

Sixteenth century fortifications embrace the Grand Hotel Excelsior and its olive gardens making it the only 5 star hotel in Malta nestled within historic architecture. Furthermore, the Hotel’s strategic location makes it a favorite place for business people due to its proximity to business areas and government offices in Valletta.

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