The 11Th International Conference on Information, Intelligence, Systems and Applications 15-17 July 2020, University of Piraeus, Greece

The 11th International Conference on Information, Intelligence, Systems and Applications 15-17 July 2020, University of Piraeus, Greece

https://easyconferences.eu/iisa2020/

The International Conference on Information, Intelligence, Systems and Applications (IISA) series offers a forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners from different research fields – such as computers, mathematics, physics, biology, medicine, chemistry, experimental psychology, social sciences, linguistics, and engineering – having the goal of developing methodologies and tools for the solution of complex problems in artificial intelligence, biology, neuroscience, security, monitoring, surveillance, healthcare, sustainability in energy sources, governance, education, commerce, automation, robotics, optimization, image, speech and natural languages, and their integration.

Contents

IISA 2020 Chairs’ Message ...... 3 Conference Committees ...... 5 IISA Steering Committee ...... 5 Program Chairs ...... 5 Email: [email protected] ...... 5 Conference Local Organizing Chairs ...... 6 Publicity Chair ...... 6 Program Committee...... 6 Ιnvited Keynote Speakers ...... 8 Nikolaos Bourbakis ...... 8 Peter P. Groumpos ...... 9 Andreas Spanias ...... 11 Program at a Glance ...... 13 Detailed Program...... 14 Tutorial on Machine Learning in Bioinformatics using Galaxy ...... 22 Conference Venue ...... 23 Conference Coordinators ...... 25

IISA 2020 Chairs’ Message

Welcome to the 2020 International Conference on Information, Intelligence, Systems, and Applications (IISA 2020). Information is widely available and accessible, but frequently leads to information overload and overexposure, while the effort for coding, storing, hiding, securing, transmitting and retrieving it may be excessive. Intelligence is required to manage information and extract knowledge from it, inspired by biological and other paradigms. Information and Multimedia Systems, with an increasing level of Intelligence, are being developed that incorporate these advances. As a result, new Technologies, Protocols and Applications are emerging. The International Conference on Information, Intelligence, Systems and Applications (IISA) series offers a unique forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners from different research fields – such as computers, mathematics, physics, biology, medicine, chemistry, experimental psychology, social sciences, linguistics, and engineering – having the goal of developing methodologies and tools for the solution of complex problems in artificial intelligence, biology, neuroscience, security, monitoring, surveillance, healthcare, sustainability in energy sources, governance, education, commerce, automation, robotics, optimization, image, speech and natural languages, and their integration.

The IISA conference is held on an annual basis and intended as an international forum for researchers and professionals in all areas of Information, Intelligence, Systems and Applications. Every year, we invite submission of papers presenting high-quality original research and developments for the conference tracks. The IISA conference features tutorials, technical paper presentations, workshops, and distinguished keynote speeches.

This year’s conference marks the eleventh IISA. IISA 2020 is organized by the University of Piraeus and the University of the Thessaly. IISA 2020 was originally planned to be located in the Unversity of Piraeus, Piraeus, Greece. However, the COVID-19 pandemic and the subsequent lockdown forced us to hold IISA 2020 as a virtual/online conference. Despite the pandemic, IISA 2020 will last for three days and its technical program consists of fourteen (14) technical paper presentation sessions, a tutorial session and 3 keynote speeches. We received a sighnificant number of high quality submissions. From them, sixty three (63) were accepted as full (eight-page) papers and twelve (12) were accepted as short (four-page) papers. Moreover, accepted full and short papers were authored by authors-researchers from several countries who represented academia, government, industry, and business.

In addition to the technical paper presentations and the keynote speeches, IISA 2020 features a Tutorial on Machine Learning in Bioinformatics using Galaxy, organized and presented by Dr. Alireza Khanteymoori, Dr. Björn Grüning, and Anup Kumar, all of Freiburg University, Germany.

We are thankful to the many people who contributed to the success of IISA 2020. Firstly, thanks are due to the paper authors, including those whose papers were not accepted in the program, for choosing IISA 2020 as the forum for disseminating the results of their research. We are also thankful to the IISA 2020 program committee members and reviewers for their wonderful work in reviewing and selecting in a timely manner the best among the submitted papers. Special thanks are due to the Sponsors of the conference for their financial sponsorship of IISA 2020. Thanks are also due to the University of Piraeus and the University of Thessaly for their technical co-sponsorship of the conference. For their actions to organize the conference, many thanks are due to the Local Organizing Chairs:

Assist. Prof.-Dr. A. Daskalopulu, University of Thessaly, Greece Assist. Prof.-Dr. E. Sakkopoulos, University of Piraeus, Greece, as well as to the Publicity Chair:

Assist. Prof.-Dr. D. Sotiropoulos, University of Piraeus, Greece

Last, but not least, special thanks are due to the IISA 2020 coordinator, Easy Conferences Ltd., Cyprus. Finally, on behalf of the 2020 International Conference on Information, Intelligence, Systems, and Applications (IISA 2020), we invite all of you to join us virtually in Piraeus, Greece and enjoy the program.

IISA 2020 General Chairs

Prof.-Dr. George A. Tsihrintzis, University of Piraeus, Greece Prof.-Dr. Maria Virvou, University of Piraeus, Greece

IISA 2019 PC Chairs

Assoc. Prof.-Dr. E. Alepis, University of Piraeus, Greece Assoc. Prof.-Dr. E. Papageorgiou, University of Thessaly, Greece

Conference Committees

IISA Steering Committee

Prof.-Dr. Nikolaos Bourbakis, Wright State University, USA College of Engineering and Computer Science, Wright State University Email: [email protected] Personal page: http://www.cs.wright.edu/atrc/director.html

Prof.-Dr. George A. Tsihrintzis, University of Piraeus, Greece (Also General chair of IISA 2020) Department of Informatics, University of Piraeus Email: [email protected] Personal page: http://www.unipi.gr/faculty/geoatsi

Prof.-Dr. Maria Virvou, University of Piraeus, Greece (Also General chair of IISA 2020) Department of Informatics, University of Piraeus Email: [email protected] Personal page: http://www.unipi.gr/faculty/mvirvou

Program Chairs

Assoc. Prof.-Dr. Efthimios Alepis, University of Piraeus, Greece Department of Informatics, University of Piraeus Email: [email protected] Personal page: http://www.unipi.gr/faculty/talepis

Assoc. Prof.–Dr. Elpiniki Papageorgiou, University of Thessaly General Department (formerly, Department of Electrical Engineering) University of Thessaly Email: [email protected] Personal page: http://msc.electr.teilar.gr/index.php/didaskontes/melh- ekpaideutikou-proswpikou/dr-elpinikh-papagewrgiou

Conference Local Organizing Chairs

• Assist. Prof. – Dr. Aspasia Dascalopulu, University of Thessaly, Greece • Assist. Prof. – Dr. Evangelos Sakkopoulos, University of Piraeus, Greece

Publicity Chair

• Assist. Prof. – Dr. Dionisios Sotiropoulos, University of Piraeus, Greece

Program Committee • Akoumianakis Demosthenes, TEI_C, United Kingdom • Alamaniotis Miltiadis, University of Texas at San Antonio, United States • Alepis Efthimios, University of Piraeus, Greece • Anagnostopoulos Christos, University of the Aegean, Greece • Angelov Plamen, Lancaster University, United Kingdom • Apostolou Dimitris, University of Piraeus, Greece • Avouris Nikolaos, University of Patras, Greece • Bassiliades Nick, Aristotle University of Thessaloniki, Greece • Beligiannis Grigorios, University of Patras, Greece • Bessis Nik, Edge Hill University, United Kingdom • Bhattacharya Maumita, Charles Sturt University, Australia • Blekas Konstantinos, University of Ioannina, Greece • Boutsinas Basilis, University of Patras, Greece • Chatzigiannakis Ioannis, Sapienza University of Rome, Italy • Chatzilygeroudis Konstantinos, EPFL, Switzerland • Crisan Gloria Cerasela, Vasile Alecsandri University of Bacau, Romania • Christopoulos Athanasios, University of Bedfordshire, United Kingdom • Dentsoras, Argyris, University of Patras, Greece • Dounias Georgios, University of the Aegean, Greece • Esposito Anna, Seconda Università di Napoli, Italy • Fragkaki Maria, University of Patras, Greece • Galiotou, Eleni, University of West Attica, Greece • Garcez Artur, City, University of London, United Kingdom • Garofalakis John, CTI and Dept. of Computer Engineering and Informatics, Univ. of Patras, Greece • Georgopoulos Efstratios, TEI of Peloponnese, Greece • Granelli Fabrizio, University of Trento, Italy • Gregoire Eric, CRIL, France • Grivokostopoulou Foteini, University of Patras, Greece • Hatzilygeroudis Ioannis, University of Patras, Greece • Iliadis Lazaros, Democritus University of Thrace, Greece • Kabassi Katerina, TEI of Ionian Islands, Greece • Kalles Dimitris, Hellenic Open University, Greece • Karacapilidis Nikos, University of Patras, Greece • Kavallieratou Ergina, University of the Aegean, Greece • Komninos Andreas, Computer Engineering & Informatics Department, Greece • Komninos Theodore, CTI-Diophantus, Greece • Konstantopoulos Charalampos, University of Piraeus, Greece • Konstantopoulos Stasinos, NCSR Demokritos, Greece • Kotsiantis Sotiris, University of Patras, Greece • Kotzanikolaou Panayiotis, University of Piraeus, Greece • Koutsomitropoulos Dimitrios, University of Patras, Greece 6

• Leon Florin, Technical University of Iasi, Romania • Likas Aristidis, University of Ioannina, Greece • Likothanassis Spiros, University of Patras, Greece • Lloret Jaim, Polytechnic University of Valencia, Spain • Luna jose maria, University of Cordoba, Spain • Magoulas George, University of London, Birkbeck College, United Kingdom • Makris Christos, University of Patras, Greece • Mani Ashish, Amity, India • Mavroudi Seferina , TEI of Western Greece, Greece • Moreno Antonio, Univ. Rovira i Virgili, Spain • Mporas Iosif, University of Hertfordshire, United Kingdom • Mylonas Georgios, Computer Technology Institute and Press Diophantus, Greece • Mylonas Phivos, Ionian University, Greece • Nakatani Takako, The Open University of Japan, Japan • Nalepa Grzegorz J., Jagiellonian University, Poland • Palade Vasile, Coventry University, United Kingdom • Palkova Zuzana , Slovak University of Agriculture, Slovakia • Papageorgiou Elpiniki, University of Thessaly, Greece • Paraskevas Michael, University of the Peloponnese, Greece • Patsakis Constantinos, University of Piraeus, Greece • Peppas Pavlos, University of Patras, Greece • Perikos Isidoros, University of Patras, Greece • Pierrakeas Christos, TEI of Western Greece, Greece • Pintea CM, UTCJ, Romania • Prentzas Jim, Democritus University of Thrace, Greece • Rigou Maria, University of Patras, Greece • Sakkopoulos Evangelos, University of Piraeus, Greece • Sgarbas Kyriakos, University of Patras, Greece • Sioutas Spyros, University of Patras, Greece • Sirmakessis Spiros, University of the Peloponnese,, Greece • Solanas Agusti, Universitat Rovira i Virgili, Spain • Stafylopatis Andreas, National Technical University of Athens, Greece • Stamatatos Efstathios, University of the Aegean, Greece • Stefaneas Petros, NTUA, Greece • Styliaras Georgios, University of Patras, Greece • Tsihrintzis George, University of Piraeus, Greece • Tsolis Dimitrios, University of Patras, Greece • Tzimas Giannis, University of the Peloponnese, Greece • Valchinov Emil, University of Patras, Greece • Verykios Vassilios, Hellenic Open University, Greece • Virvou Maria, University of Piraeus, Greece • Voros Nikolaos University of the Peloponnese, Greece • Vouros George, University of Piraeus, Greece • Vrahatis Michael, University of Patras, Greece • Washizaki Hironori, Waseda University, Japan • Xenos Michalis, University of Patras, Greece • Yamaguchi Takahira, Keio Univ, Japan • Yamamoto Shuichiro, Nagoya University, Japan

Ιnvited Keynote Speakers Nikolaos Bourbakis

Title: Synergies of AI and Knowledge Engineering for Healthcare & Biomedicine

Abstract: In the last two decades, a few major scientific events have significantly impacted the Academic and Industrial evolution. One of them is the widely acceptance of Artificial Intelligence (AI) in the Applications domain. Another one is the increased computational power of IT tools for very large scale of applications in Data & Knowledge Engineering. As a result of this evolution, advanced AI (specifically machine learning) and Knowledge Engineering methods have made their appearance via triggering the interest and the concerns of the Scientific Community and the Society at large. In addition, in complex environments single based methodologies will not offer robust and wide range solutions. Thus, this talk will not offer specific solutions to problems based on single methods or cover every aspect of a problem, but rather will address how Synergies of AI and Knowledge Engineering Methods may offer better solutions to some of these complex problems, i.e. in Healthcare & Biomedicine.

Bio: Prof. Nikolaos Bourbakis (IEEE Life Fellow) currently is a Distinguished Professor of Information & Technology and the Director of the Center of Assistive Research Technologies (CART) at Wright State University, OH. He is the Founder and the EIC of three International Journals (Artificial Intelligence Tools (World Scientific Publ.), Monitoring and Surveillance Tech Research (IGI-Global, Publ.), and Bioengineering & Bioinformatics (EAI Transactions)) the Founder and the Steering Committee Chair of several International IEEE Computer Society Conferences (ICTAI, BIBE, IISA), Symposia and Workshops. He pursues research in Assistive Technologies, Applied Artificial Intelligence, Bioengineering, Information Security, and Distributed Processing funded by USA and European government and industry. He has extensively published in IEEE and International Journals and Conferences, and he has graduated several dozens of PhD students. His research work has been internationally recognized and won several prestigious awards in IEEE, Universities and Societies.

Peter P. Groumpos

Title: Coronavirus Diseases And Intelligent Systems: Issues And Challenges

Abstract: This keynote paper is addressing the general issue of Coronavirus diseases. The humankind was caught by surprise when the first news for a new flue or epidemic disease was emerging from the greater region of Wuhan of China. Very soon was associated with Coronavirus epidemics. It was named SARS-CoV-2 or known today as COVID-19. On March 11th of 2020 the WHO has accepted COVID-19 as a pandemic disease. However, Coronavirus diseases have been around long before COVID-19. Coronaviruses are named for the crown-like spikes on their surface. There are four main sub-groupings of coronaviruses, known as alpha, beta, gamma, and delta. Human coronaviruses were first identified in the mid-1960s. Today, there are seven Coronaviruses that can infect people.

In this keynote paper, an overview of these seven Coronaviruses and some very interesting historical facts are given. It is interesting to follow how coronaviruses emerged from the mid- 1960s to todays pandemic of COVID-19. The not so far two Human Coronaviruses are briefly reviewed, namely: MERS-CoV (the beta coronavirus that causes Middle East Respiratory Syndrome, or MERS) and SARS-CoV (the beta coronavirus that causes severe acute respiratory syndrome, or SARS) However the most recent one: SARS-CoV-2 (the novel coronavirus that causes coronavirus disease 2019) or better known as COVID-19 is addressed in more details. Symptoms and diagnosis methods are reviewed. A summary of studies since the outbreak is presented. The lack of serious and practical studies for all the Coronaviruses diseases are evident. Only the last four months has been an explosive report of studies. Most if not all are based on statistical models.A brief overview of the role of Intelligent Systems (IS)in studying medical problems is presented. Many have been reported for COVID-19. Among them “a new AI diagnostic can predict COVID-19 without testing” just been reported on May11th 2020, from a King’s College London research team and Artificial Intelligence against COVID-19 by the IZA research Institute. All ammunition from all fields are used in a difficult and ad agonistic environment. Funding already is pouring to anyone that wants to do research in COVID-19. The area of IS, is also doing its part. In this Keynote a systematic overview of the so far studies been conducted using Intelligent System theories, Artificial Intelligent, Neural Networks, Fuzzy Logic and Fuzzy Cognitive Maps. An effort is made to categorize these studies per topics of COVID-19: diagnosis, therapy, recovery, spreading in the community and others.

Future research directions covering the broad spectrum of Coronaviruses diseases with an emphasis on COVID-19 will be presented.

Bio: Born in Greece in 1950. Educated at USA receiving the following degrees from the SUNY at Buffalo all in EE.: B.Sc. in 1974, a M.Sc. in 1976 and the PhD in 1978 respectively. While studying at the undergraduate and Master level he had to work at the same time to earn his living. Faculty member at the Dep. of Electrical and Computer Engineering at Cleveland State University 1979-1989. Returned to his motherland, Greece as a Full Professor, Dept. of Electrical and Computer Engineering, University of Patras 1989 until, 2018. Presently he is an Emeritus professor. He established and developed the Laboratory for Automation and Robotics in 1992 and served as its Director until Sept 2018. He served as a chairperson of the Department of ECE in the period 1993 – 2003. A Fulbright Scholar 1997-98, visited the University of Patras in which he taught and perform research in the area of Systems and Control. President & CEO, Patras Science Park, Patras, Greece (2004–2010). The Greek National representative to a number of high positions at European Management Committees (ESPRIT, ICT, IMS, INCO). Included in a) Who’s Who in Frontiers of Science and Technology and b) Men of Achievement. General Chairman of IFAC Conferences, LSS ’98 and MIM 2000, and of the IEEE Conferences, ISIC 2000 and MED 1994, 2000 and 2016. Program chairman of CIT&DS 2019 and 15th National and International Conference HSSS 2019. Chairman of the IFAC TC 9.5 of Large-Scale Systems of IFAC (1996-2001). He has been teaching undergraduate and graduate courses in the thematic areas of automatic control, stochastic processes, intelligent control, Fuzzy systems, Robotics, modeling Complex Dynamic Systems and Bioinformatics. His main research interests are: Modelling and Controlling Complex Dynamic Systems (CDS), Intelligent Control, Bioinformatics, Biomedical Engineering, Soft-computing techniques for CDS, Fuzzy Cognitive Maps (FCM), Cognitive Control, Knowledge Management, Simulation and Application of Informatics in the areas: Health, Energy and environment, Business, Economics, Agriculture, Industry, International Relations and Social Studies.

He has participated in many PRD projects funded by the EC, Greek government and other agencies: PI in 16 PRD projects and more than 40 as a partner. The total funding for the PRD projects has exceeded the amount of 20 million Euros. Evaluator in EU project evaluation for 20 years. (1992-2012).

He has an excellent scientific publication record and citation performance: h-index: 33 (google scholar) 29(Scopus). Refereed Publications – Papers: 140 (journals) / Other Publications – Invited chapters: 8 Books, Editing Proc, or books: 14/ Papers in Conf. in Proc:190 /Abstracts and/or Summary in Book of Abstracts:27. He has been Plenary-Keynote speaker on more than 25 international conferences worldwide the last 10 years.

Andreas Spanias

Title: Machine Learning Workforce Development Programs on Health and COVID-19 Research

Abstract: The keynote speech will describe federally funded workforce development research grants and supplements in the area of sensors and machine learning. These programs operate under the auspices of the Sensor Signal and Information Processing (SenSIP) center which is also an Industry University Cooperative Research Center (I/UCRC) sponsored by the National Science Foundation (NSF) and I/UCRC industry members. The first program is an NSF REU site which has trained more than 30 students working on sensor hardware design and machine learning algorithm development. Participants in the REU came from several universities including ASU, UC Berkeley, University of Illinois, Yale and others. The second program is the NSF IRES site which is collaborative with the University of Cyprus and is focused on sensors and machine learning for energy systems. Undergraduate and graduate students- researchers in this program developed methods for solar fault detection and energy load forecasting in power systems. The most recent program funded by NSF is a Research Experiences for Teachers (RET) program that started in June 2020. This program embeds teachers and community college faculty in SenSIP research projects with the aim to transition research results in high schools and community college STEM courses. Another state funded program in which SenSIP is a partner is MedTech ventures. SenSIP is offering machine learning research training sessions for MedTech. SenSIP also received several NSF supplements to train students in using machine learning and sensors for COVID-19 detection at early stages. Developing new methods for COVID-19 detection are current activities in SenSIP projects and workforce development efforts.

Bio: Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (also an NSF I/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, machine learning and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award-winning iPhone/iPad and Android versions. He is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). He contributed to more than 300 papers, 10 monographs, 11 full patents, 8 provisional patents and 10 patent pre-disclosures. He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice-President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as Distinguished Lecturer for the IEEE Signal processing society

11 in 2004. He is a series editor for the Morgan and Claypool lecture series on algorithms and software. He received recently the 2018 IEEE Phoenix Chapter award with citation: “For significant innovations and patents in signal processing for sensor systems.” He also received the 2018 IEEE Region 6 Outstanding Educator Award (across 12 states) with citation: “For outstanding research and education contributions in signal processing.” Recently, he was elected as Senior Member of the National Academy of Inventors (NAI).

Program at a Glance

Wednesday, 15 July 2020 Workshop on Machine Learning in Bioinformatics using Galaxy ROOM-1 14.00 – 14.30 Introduction to Galaxy 14.30 – 15.00 Machine Learning in Galaxy (Talk) 15.00 – 15.30 BREAK 15.30 – 17.00 Machine Learning in Galaxy (Demonstration)

Thursday, 16 July 2020

08.45 – 09.00 Opening Session (ROOM-1) 09.00 – 10.00 Keynote Speech-1 (ROOM-1) 10.00 – 10.15 BREAK ROOM-1 ROOM-2 ROOM-3 10.15 – 11.45 TM-1 TM-2 TM-3 11.45 – 12.00 BREAK 12.00 – 13.30 TA-1 TA-2 TA-3 13.30 – 13.45 BREAK 13.45 – 14.45 Keynote Speech-2 (ROOM-1)

Friday, 17 July 2020

09.00 – 10.00 Keynote Speech-3 (ROOM-1) 10.00 – 10.15 BREAK ROOM-1 ROOM-2 ROOM-3 10.15 – 11.45 FM-1 FM-2 FM-3 11.45 – 12.00 BREAK 12.00 – 13.30 FA-1 FA-2 ---- 13.30 – 13.45 BREAK 13.45 – 14.30 FE-1 FE-2 FE-3 14.30 – 14.45 Closing Session (ROOM-1)

Detailed Program

Thursday, 16 July 2020

08.45 Opening Session (ROOM-1) – Professor George A. Tsihrintzis, University of Piraeus, Greece 09.00 Professor Maria Virvou, University of Piraeus, Greece 09.00 Keynote Speech-1 (ROOM-1) – Professor Petros Groumpos, University of Patras, Greece 10.00 Title: Coronavirus Diseases And Intelligent Systems: Issues And Challenges 10.00 BREAK – 10.15 ROOM-1 ROOM-2 ROOM-3 TM-1 TM-2 TM-3 10.15 Intelligent Systems in Multimedia Systems and Neural Networks – Medicine and Networks Session Chair: I. Perikos 11.45 Healthcare - I Session Chair: D. Session Chair: D. Vergados Apostolou Securing Access to A Storage as a Service Applying a Convolutional Healthcare Data with scheme for supporting Neural Network in an IoT Context-aware Medical Services on 5G Robotic System for Plant 10.15 Policies Evgenia Vehicular Networks Disease Diagnosis – Psarra, Ioannis Eirini Zoumi, Emmanouil Apostolos Xenakis, 10.30 Patiniotakis, Yiannis Skondras, Nikolaos Georgios Papastergiou, Verginadis, Dimitris Tsolis, Angelos Vassilis C. Gerogiannis, Apostolou, Gregoris Michalas, Dimitrios D. George Stamoulis Mentzas Vergados Applying Cloud Based Hybrid No-Reference A Sentiment-based Hotel Machine Learning on Video Quality Models Review Summarization Biosensors Streaming for H.264 with using LSTM Neural Data for Health Status Encrypted Payload Networks Prediction Chulhee Lee Agorakis 10.30 Ahmed Ismail, Samir Bompotas, Aristidis – Abdelrazek, Ibrahim Ilias, Maria 10.45 Elhenawy Adamopoulos, Andreas Kanavos, Christos Makris, Gerasimos Rompolas, Alkiviadis Savvopoulos 14

CRNet Translator: Analyzing ROADM costs Deep Learning on the Building GMA, S- in SDM networks Web: State-of-the-art System Models and Charalampos Object Detection using Chemical Reaction Papapavlou, Konstantino Web-based Client-side 10.45 Networks of Disease s Paximadis, Giannis Frameworks Dimitrios – and Metabolic Tzimas Koutsomitropoulos, Xenofo 11.00 Pathways n Pournaras Geoffrey Solano, Karen Fields, Angelyn Lao, Noel Fortun Explainable Machine Elastic Distributed Eye Gaze Analysis of Learning applied to Rendering Service Learners in Educational Single-Nucleotide Placement in Systems Polymorphisms for Capacitated Cloud/Fog Panteleimon-Evangelos 11.00 Systemic Lupus Gaming Systems Aivaliotis, Foteini – Erythematosus Athanasios Tsipis, Grivokostopoulou, Ioannis 11.15 Prediction Vasileios Komianos, Daramouskas, Isidoros Geoffrey Solano, Marc Konstantinos Perikos, Ioannis Jermaine Pontiveros, Oikonomou, Ioannis Hatzilygeroudis Cherica Tee, Michael Stavrakakis Tee Development of A ZigBee - based Local Manifold Convolutional Neural Lightweight Wireless Regularization for Network-based Sensor System for Knowledge Transfer in models for bone measuring action Convolutional Neural metastasis potential bio signals in Networks classification in Agriculture IoT Ilias Theodorakopoulos, 11.15 nuclear medicine Applications Foteini Fotopoulou, George – Nikolaos Apostolos Xenakis, Economou 11.30 Papandrianos, Elpiniki Konstantinos Kalovrektis, Papageorgiou, Antonios Gotsinas, Athanasios Georgios Stamoulis Anagnostis, Konstantinos Papageorgiou, Anna Feleki Prediction of pain in Progress and Α Neural Network knee osteoarthritis Demonstrations on approach for Non- patients using Space Division parametric Performance machine learning: Multiplexing Assessment Data from Charalampos Dionisios 11.30 Osteoarthritis Papapavlou, Konstantino Sotiropoulos, Gregory – Initiative s Paximadis, Giannis Koronakos 11.45 Antonios Alexos, Tzimas Christos Kokkotis, Serafeim Moustakidis, Elpiniki Papageorgiou, Dimitrios Tsaopoulos 11.45 BREAK – 12.00 15

ROOM-1 ROOM-2 ROOM-3 TA-1 TA-2 TA-3 12.00 Intelligent Systems in Mobile Hypermedia Intelligent Navigation and – Medicine and Applications for Culture Monitoring 13.30 Healthcare - II Session Chair: G. Session Chair: D. Tsipianitis Session Chair: E. Styliaras and D. Tsolis Papageorgiou A Machine Learning Towards a methodology Color Lane Line Detection workflow for to conceptualize the EU- Using the Bhattacharyya Diagnosis of Knee funded projects impact Distance Osteoarthritis with a on cultural sector Jaeho Han, Chulhee Lee 12.00 focus on post-hoc Danai Katsanta, – explainability Dimitrios Tsolis 12.15 Christos Kokkotis, Serafeim Moustakidis, Elpiniki Papageorgiou, Giannis Giakas, Dimitrios Tsaopoulos Health Monitoring of Excavations go mobile: A Intelligent System for People with Diabetes web-based mobile Detection of Wild Animals using IoT and 5G application for Using HOG and CNN in Wireless Network archaeological Automobile Applications Infrastructures excavations Yuvaraj Munian, Miltiadis 12.15 Vasileios Alexandros-Stavros Alamaniotis, Antonio – Tsoulchas, Nikolaos Karabinakis, Georgios Martinez-Molina 12.30 Tsolis, Eirini Styliaras, Nikolaos Avouris Zoumi, Emmanouil Skondras, Dimitrios D. Vergados

Deep Learning Capital Structure Big Data Mining for Smart Methods in Medical Determinants And Cities: Predicting Traffic Imaging for the Speed Of Adjustment In Congestion using Recognition of Breast Us (including cultural Classification Cancer industries). A Quantile Aristeidis Mystakidis, 12.30 Ioannis Daramouskas, Regression Approach Christos Tjortjis – Antonios Matzakos Andreas Kaloudis, 12.45 Chorianopoulos, Theodore Koutsobinas, Foteini Dimitrios Tsolis Grivokostopoulou, Isidoros Perikos, Ioannis Hatzilygeroudis A new Mathematical Evaluation of the Vision-based navigation Model for COVID-19: Perception of Teachers for autonomous space A Fuzzy Cognitive for ICT and Cultural rendezvous with non- 12.45 Map Approach for Mobile Apps in cooperative targets – Coronavirus Diseases Education Anthea Comellini, 13.00 Peter Groumpos Athanasia Alexandri, Emmanuel Zenou, Christine Christos Alexakos, Espinosa, Vincent Apostolos Terzoglou, Dubanchet

Andreas Athanitis, Dimitrios Tsolis 802.15.4 - based A research in the design A Smart Cablebot for Efficient Wireless of augmented reality Spectral Imaging and Sensor System Design gamified mobile Micro-climate for Monitoring Blood applications for measurements inside Oxygen and Heart promoting traditional Greenhouses Rate in ΙοΤ Medical products implemented Dimitris Tsipianitis, 13.00 Applications in ambient intelligence Dionysios Bitas, Kyriakos – Apostolos environment of small Papastavros 13.15 Xenakis, Konstantinos shops Kalovrektis, Antonios Konstantinos I. Gotzinas, Ioannis Kotsopoulos, Alexandros Korinthios, Georgios Papadopoulos, Stamoulis Anastasios Babathanasis, Stelios Axiotopoulos ------Augmented Reality Α Methodology For Drones applications in Cultural to Learn How to Navigate Heritage: Technology or And Avoid Obstacles Using 13.15 Content? Decision Trees – Stavroula Isidoros Perikos, Ioannis 13.30 Tzima, Georgios Daramouskas, Ioannis Styliaras, Athanassios Hatzilygeroudis Bassounas 13.30 BREAK – 13.45 Keynote Speech-2 (ROOM-1) 13.45 Professor Nikolaos Bourbakis, Wright State University, USA – Title: Synergies of AI and Knowledge Engineering for Healthcare and 14.45 Biomedicine

Friday, 17 July 2020

Keynote Speech-3 (ROOM-1) 09.00 – Professor Andreas Spanias, Arizona State University, USA 10.00 Title: Machine Learning Workforce Development Programs on Health and COVID-19 Research 10.00 – BREAK 10.15 ROOM-1 ROOM-2 ROOM-3 FM-1 FM-2 FM-3 10.15 – e- and m-Services Smart Energy - I Intelligent Data 11.45 Session Chair: E. Session Chair: A. Processing Sakkopoulos Daskalopulu Session Chair: G. Tsihrintzis MADM System for Switching angles Sports Analytics for 10.15 – the Development of calculation through Football League Table 10.30 Adaptable Mobile Mathematical and Player Performance Applications for Optimization in Prediction 17

People with Multilevel Inverters Victor Chazan – Pantzalis, Intellectual Ioannis Batsis, Christos Tjortjis Disabilities Olga Dimitrios Bargiotas, Shabalina, Vladislav Aspassia Daskalopulu Guriev, Stanislav Kosykov, Nikita Dmitriev, Aleksandr Davtian Smart eGov Services Transient Stability Scalable Time Series for Citizenship: Analysis in Power Classification in Improving Systems Integrated streaming and batch Personalized with a Doubly-Fed environments on Apache 10.30 – Services Stavros Induction Generator Spark Apostolos Glenis 10.45 Piotopoulos, Wind Farm Evangelos Michail Katsivelakis, Sakkopoulos Dimitrios Bargiotas, Aspassia Daskalopulu A Theoretical Intelligent Data PlaPhy-SMD: A Database Persuasive Analytics from the System of Plants and Framework for Energy Economics of their Phytochemicals Supporting and the Greek Debt Crisis Integrated with Small- Evolving an Maria Karasimou, Molecule Drugs and their 10.45 – Individual's Lefteri Tsoukalas, Condition and Gene 11.00 Sustainable Mobile Vasileios Antonenas, Associations with Traveling Attitude Vasileios Laitsos, Clustering and Product Maria Eftychia Vasileios Ingredient Matching Angelaki, Theodoros Polychronides Geoffrey Solano, Jazmine Karvounidis, Christos Mae Recario, Angelyn Lao Douligeris A traceability and Comparative Energy Real-Time Adaptive auditing framework Information Analytics Noise and Echo for electronic of Five European Cancellation on a equipment reverse Economies Compact Microcontroller logistics based on Maria Karasimou, , Andreas Spanias, Joshua 11.00 – blockchain: the case Lefteri Vandermeer,, Frank 11.15 of mobile phones Tsoukalas, Vasileios Giuliani, Erica Low, Thomas K. Dasaklis, Antonenas, Vasileios Katherine Thomasson Fran Casino, Laitsos, Vasileios Constantinos Polychronides Patsakis HappyCruise: An Advanced Fuzzy Association Rules and architecture for Cognitive Maps Machine Learning for Personalized Secure Modelling a Nearly Enhancing Undeclared Boarding on Cruises Zero Energy Building Work Detection 11.15 – Evangelos Eleni Vergini, Peter Eleni Alogogianni, Maria 11.30 Sakkopoulos, Giannis Groumpos Virvou Tzimas, George Pavlidis, Zafeiria- Marina Ioannou, Emmanouil Viennas 11.30 – Measuring the Analysis and Design Group Affect 11.45 Quality of Street of Services in Building Recognition: Facial 18

Surfaces in Smart Units in the context of Feature Extraction via Cities through a Smart City Color Inverted Points Smartphone Dimitrios D. Vergados, Andreas M. Triantafyllou, Crowdsensing Konstantina Siountri, George A. Tsihrintzis Efthimios Alepis, Vassilios Matsouliadis Constantinos Patsakis, Effrosyni Sigala 11.45-12.00 BREAK ROOM-1 ROOM-2 ROOM-3 FA-1 FA-2 FA-3 12.00 – Educational Smart Energy - II 13.30 Informatics - I Session Chair: A. Session Chair: E. Daskalopulu Alepis Effects of Cycle Deep Learning Evaluation on Peer Networks for Learning: Vectorized Energy Competency Load Forecasting 12.00 – Assessment, Case Kristen Jaskie, 12.15 Study, Catholic Dominique Smith, University of Andreas Spanias Temuco, Chile Marcos Levano Digital game-based Critical Systems under learning in a Cyber Threats robotics course Styliani Pantopoulou, Marcio Mendonca, Pola Lydia Lagari, Clive 12.15 – Elpiniki H. Townsend, Lefteri 12.30 Papageorgiou, Lucas H. Tsoukalas Botoni de Souza, Diene Eire de Mello, Jose Augusto Fabri Investigating the Intelligent Nature- role of STE(A)M Inspired Approaches Educators: a case for Optimal Resource study in Greece Levelling in a High Natalia Spyropoulou, Voltage Alternating 12.30 – Achilles Kameas Current Submarine 12.45 Link Terminal Station Project Georgios Dounias, Alexandros Tzanetos, Dimitrios Ntardas Customization of New Advanced self-regulation in Technology Methods the use of ICT for for Energy Efficiency 12.45 – the learning process of Buildings 13.00 with continuous Peter Groumpos, improvement: Vassiliki Mpelogianni Catholic University of Temuco, Chile 19

Marcos Levano How Guilty is a Proactive Building robot who kills Energy Management other robots? Methods based on Oronzo Parlangeli, Fuzzy Logic and 13.00 – Stefano Guidi, Enrica Expert Intelligence 13.15 Marchigiani, Paola Vassiliki Palmitesta, Mpelogianni, Peter Alessandro Groumpos, Dimitris Andreadis, Sergio Tsipianitis Roncato Effects of Lighting IRES Program in Variations in Virtual Sensors and Machine Learning Learning for Energy Environments Systems Anna-Maria Andreas Velentza, Elias Spanias, Kristen Economou Jaskie, Sunil Rao, 13.15 – Wendy Barnard, 13.30 Photini Spanias, Elias Kyriakides, Maria Michael, Yiannis Tofis, Lenos Hadjidemetriou, Theo Theocharides, Stella Hadjistassou 13.30 – BREAK 13.45 ROOM-1 ROOM-2 ROOM-3 FE-1 FE-2 FE-3 Educational Decision Support International Workshop 13.45 – Informatics - II Systems for on Virtual Reality Based 14.30 Session Chair: K. Sustainable Energy Educational Systems Chrysafiadi Planning and Investing Session Chair: I. Session Chair: J. Hatzilygeroudis and I. Psarras Perikos Fuzzy states for Decision Support A Virtual Reality dynamic adaptation Tools for Energy Platform for Learning of the plot of an Efficiency Obligated Aspects of educational game in Parties towards Entrepreneurship relation to the Energy Poverty Isidoros 13.45 – learner’s progress Alleviation Perikos, Konstantinos 14.00 Konstantina Apostolos Kovas, Foteini Chrysafiadi, Spyros Arsenopoulos, Grivokostopoulou, Ioannis Papadimitriou, Vangelis Marinakis, Hatzilygeroudis Maria Virvou Konstantinos Koasidis, Andriana Stavrakaki, John Psarras Predicting students' Web-based Theoretical Foundations 14.00 – final test results Application for of Virtual and 14.15 based on previous Screening Energy Augmented Reality- grades and Efficiency 20

demographics Avar Investments: A MCDA Supported Learning Pentel, Lisanne-Liis Approach Analytics Kaiva Aikaterini Athanasios Papapostolou, Filippos Christopoulos, Nikolaos Dimitrios Mexis, Pellas Elissaios Sarmas, Charikleia Karakosta, John Psarras Synchronous and Developing a Distance Education Asynchronous software-based Gamification in Social Learning Methods platform for Virtual Reality: A Case under the light of strengthening public Study on Student General Data participation in Engagement 14.15 – Protection Greece Stylianos Mystakidis 14.30 Regulation Eirini Apostolos Mougiakou, Spyros Arsenopoulos, Papadimitriou, Nikolaos Maria Virvou Mastromichalakis, John Psarras Closing Session (ROOM-1) 14.30-14.45 Professor George A. Tsihrintzis, University of Piraeus, Greece Professor Maria Virvou, University of Piraeus, Greece

Tutorial on Machine Learning in Bioinformatics using Galaxy

Dr. Alireza Khanteymoori, Freiburg University, Germany Dr. Björn Grüning, Freiburg University, Germany Anup Kumar, Freiburg University, Germany

Contact: Dr. Alireza Khanteymoori, [email protected], [email protected] freiburg.de

Abstract: This tutorial workshop intends to facilitate the training and discourse amongst bioinformatics researchers interested in machine learning using Galaxy. It will be a half-day event, including six sessions. During this workshop, we will train researchers in the use of Galaxy for machine learning analysis.

The first session will provide an introduction to Galaxy. Galaxy is a scientific platform that helps scientists to analyse data without any programming skills. To analyse data, workflows can be created to make the analyses reproducible and shareable.

In the second session, basic concepts in machine learning will be introduced.

The next three sessions will serve as a hands-one sessions to follow training tutorials with case studies to see how classification algorithms, regression models and unsupervised learning methods in Galaxy can be used to solve real-world problems. In the last session, we will introduce feature selection and hyper parameter optimization methods in Galaxy and the workshop will be summing up at the end.

Topics

• Galaxy introduction • Machine learning basics • Classifiers (logistic regression, k-nearest neighbours, support vector machines and random forest) • Regressor (linear, non-linear and ensemble models) • Unsupervised learning (clustering and dimension reduction) • Feature selection methods • Hyper-parameter optimization

Conference Venue

About Piraeus

Piraeus is a port city in the region of Greece. Piraeus is located within the Athens urban area,12 kilometres (7 miles) southwest from its city centre (municipality of Athens), and lies along the east coast of the Saronic Gulf.

According to the 2011 census, Piraeus had a population of 163.688 people within its administrative limits, making it the fifth largest municipality in Greece and the second largest within the urban area of the Greek capital, following the municipality of Athens. The municipality of Piraeus and several other suburban municipalities within the regional unit of Piraeus form the greater Piraeus area, with a total population of 448,997, and is part οf Athens urban area.

Demography

Piraeus is the fifth most populous municipality in Greece with an official population of 163,688 (in 2011). The Greater Piraeus, part of the greater Athens Urban Area, comprises the city proper (municipality of Piraeus) and four other suburban municipalities, having a total population of 448,997 people (in 2011).

Sport

Traditionally, Piraeus has played a major role in Greek sport. The city boasts the most popular and one of the most prestigious Greek multisport clubs, Olympiacos CFP. The other major club is Ethnikos Piraeus, with a long athletic tradition, while other historic clubs are Atromitos Piraeus F.C. and Peiraikos Syndesmos.

The University of Piraeus

The IISA 2020 Conference will be hosted in the University of Piraeus.

The University has active cooperation with equal or equivalent universities & Higher Institutions in Europe, the Balkans and Black Sea countries, Russia, USA, Canada, Australia, Middle and Far East.

Conference Coordinators

Easy Conferences Ltd has been in business since 1992 and has been specializing in the complete coordination and organization of conferences and all related activities. Through the development of its own online registration software, in recent years the company has expanded its operations in various countries. We have extensive experience in organizing events ranging from 20 to 2000 participants. We consult, manage and assist in every step of the process of any event, and strive to deliver top professional service throughout. Our services extend from digital support, media promotion, conference website development and management, management of all related activities, complete interaction with suppliers and participants, online/on-site registration with secretarial, technical equipment and 24/7 phone support. We are adaptable and extremely flexible as we are aware of the unique requirements that each conference may have. Our services may be provided on an all-inclusive or on an a-la-carte basis. Special emphasis should be given to our own custom-made, one-stop-shop Conference Management System, www.easyconferences.org, which offers participants the ability to sign up and within minutes, submit papers which can be evaluated online, register for the conference and workshops, book accommodation, airport transfers, social activities (participants and accompanying persons) and other related services, and finally pay for all services instantly online. Our extensive experience and personal attention to every participant’s needs, backed up by a careful selection of our team and also the right partners, has created an impeccable track record that is our guarantee for watertight planning and coordination. Please visit our company website, www.easyconferences.eu for more information on our services, a list of upcoming and completed events, and several referrals from satisfied customers.

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