Keynote Speakers.


Title: Digital Humanities: The CrossCult H2020 Project
Dr.Martín López Nores
Department of Telematics Engineering
University of Vigo
mlnores at




CrossCult ( is a 3-year H2020 research project, which started in March 2016. It involves 11 European institutions and 14 associated partners from the areas of Computer Science, History and Cultural Heritage. The goal is to spur a change in the way European citizens appraise History, fostering the re-interpretation of what they may have learnt in the light of cross-border interconnections among pieces of cultural heritage, other citizens’ viewpoints and physical venues. This talk will look into how state-of-the-art technologies can be applied to deliver novel and meaningful interactive experiences in Digital Humanities.

Title: Translignual Text Mining for identification of Language Pair Phenomena
Dr. Jolanta Mizera-Pietraszko
Institute of Mathematics and Computer Science
Department of Computer Science
Opole University, Poland


Translingual Text Mining (TTM) is an innovative technology of natural language processing for building multilingual parallel corpora, processing machine translation, contextual knowledge acquisition, information extraction, query profiling, language modelling, contextual word sensing, creating feature test sets and for variety of other purposes. The lecture will discuss opportunities and challenges of this computational technology. In particular, the focus will be made on identification of language pair phenomena and their applications to building holistic language framework which is an innovative tool for processing machine translation, supporting professional translations, evaluation of translingual systems efficiency and also for improving the process of teaching foreign languages at any level of proficiency. Some components incorporated to machine translation systems rely specifically on language-pair phenomena like for example language recognizer, or word deliminer. Nowadays, declarative programming is becoming widely used  just for describing language pair phenomena by graphical formalism. Translation irreversibility model represents  a unique language and system independent asymmetrical translation  innovative technology, which will be presented during the lecture.


Jolanta Mizera-Pietraszko is an Assistant Professor on the Faculty of Mathematics, Physics and Computer Science, Opole University. Her research interests are mainly focused on information technologies, medical informatics, transligual engineering, eHealth and mhealth systems, Web mining, computational linguistics, natural language processing, multilingual search systems, parallel languages, bi-text processing, bilingual question-answering systems, and multilingual digital libraries.

She invented a language and system-independent asymmetric translation technology called “An Approach to Analysis of Machine Translation Precision by Using Language Pair Phenomena” (invention number P387576, registered and published by the Patent Office of the Republic of Poland). She is General Chair and Co-Founder of a  conference series on Real-Time Intelligent Systems, the first edition is held in Beijing, China Sep 1-3, 2016. She is an Expert for the National Commission of the European Union Research Programs H2020-ICT-2016-2017 (Topic ID: ICT-22-2016 Technologies for Learning and Skills).; an Expert in R&D projects for the Ministry of Science and Higher Education, National Center of R&D, Polish Agency of R&D; and an Evaluator of English course books for the Ministry of Education. Also, as an Advisor for the ministerial Center of Polish Education Development Abroad, she is responsible for teaching quality standards in Polish schools all over the world. In addition, she evaluates IT software for British Computer Society. She is a fellow of the IEEE Technical Committee on Digital Libraries; Information Retrieval Facilities (Vienna, Austria); and British Computer Society Information Retrieval Specialist Group (London, UK).She has recently been invited to serve on international program committees of conferences in the US, UK, Czech Republic, India, and Poland. Her projects have received recognition from the university (five scholarships), the European Union, and scientific institutions abroad.


Title: Battling the Digital Forensic Backlog 
Dr. Mark Scannloan 
USD School of Computer Science
University College, Dublin 
Given the ever-increasing prevalence of technology in modern life, there is a corresponding increase in the likelihood of digital devices being pertinent to a criminal investigation or civil litigation. As a direct consequence, the number of investigations requiring digital forensic expertise is resulting in huge digital evidence backlogs being encountered by law enforcement agencies throughout the world. It can be anticipated that the number of cases requiring digital forensic analysis will greatly increase in the future. It is also likely that each case will require the analysis of an increasing number of devices including computers, smartphones, tablets, cloud-based services, Internet of Things devices, wearables, etc. The variety of new digital evidence sources pose new and challenging problems for the digital investigator from an identification, acquisition, storage and analysis perspective. This talk explores the current challenges contributing to the backlog in digital forensics from a technical standpoint and outlines a number of future research topics that could greatly contribute to a more efficient digital forensic process.