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Author 1

Prof. Dhiya Al-Jumeily

Liverpool John Moores University

Dhiya Al-Jumeily is a professor of artificial intelligence (AI) at Liverpool John Moores University with 30+ experience in the field of AI and its applications in fulfilling the United Nations Sustainable Development Goals (UNSDGs). DA’s research is focused on using AI alongside technological tools for improving the world and making it a better place for everyone everywhere. This has been featured in the advancement he has made in the field of healthcare, environment, safety and security, and education at a global level. Though based in the UK, DA has been collaborating with researchers from 20+ countries with a special focus on improving the situation in developing countries e.g. the MENA region. With roots based in Iraq, DA has embraced the knowledge he had gained in childhood that served as the basis of AI knowledge; where, algorithms were first invented at the House of Wisdom in Baghdad. DA has excelled in the field of AI and machine learning where he has published so far 500+ publications including peer reviewed articles, book/ book chapters, conference proceedings, and technical reports. Yet the benefits to the scientific audience were not limited to publications; but encompassed global scholarly activities through facilitating the exchange of knowledge among scientists, practitioners and regulatory organizations.

Thus, DA is the founder and president of the eSystem Engineering Society (eSES), a non-profit organization which mission comprises the development and advancement of technology for the benefits of humans. Since 2007, eSES hosts the IEEE International Conference on Developments in eSystems Engineering (DeSE) that is attended by 200+ attendees from 25+ countries. DeSE has led to multiple collaborations and opportunities related to AI and smart applications for the benefits of the people. DA is a research leader and has supervised 25+ PhD students and mentored 20+ academics during his careers. DA’s mentees have successful careers not only in academia but also in different industries and regulatory organizations focusing on real-world applications of AI. Example of these applications include intelligent environmental sensors that monitor air and water quality for pollutants. Other applications include intelligent healthcare applications that enable intelligent diagnosis-, patient’s management-, intervention-based applications that are used in Europe and the Middle East. DA’s research has been acknowledged and funded by key international funding bodies that contributed to £7.5m+ worth of projects via academic, industrial and knowledge transfer routes. DA’s work has been awarded in the UK and internationally. On the 31st of December 2020, professor Dhiya Al-Jumeily was promoted and appointed by THE QUEEN to the Most Excellent Order of the British Empire, “OBE- Officers of the Civil Division of the said Most Excellent Order for the “Services to Scientific Research”- Moreover in 2022, DA has been classified as one of the top 30 most influential Arabs in technology and AI: is focused on building on these achievements and taking them forward to making the world a better place. After all, success itself is a journey and not a destination. His future work is focused not only on advancing AI and its applications; but also, in ensuring that it is applied ethically and equitably such that it benefits everyone everywhere.


Safeguarding Artificial Intelligence by Implementing Authenticity, Safety and Security of Big Data Analytics

Industry 4.0 has featured many advances relating to artificial intelligence (AI) that has been imposed in all our daily activities via Smart phones, online banking, and the interconnected world (IoT). AI offers many benefits particularly in the healthcare field and in society that has been seen via intelligent diagnosis, intelligent interventional apps, and robot carers. However, all these advantages do not come without penalties that are often hidden. Most AI-based services utilise big datasets to learn from, and that could breach individuals’ privacy, contain insufficient information, or even misinformation. The UK National Cyber Security Centre (NCSC) CEO has highlighted the importance of developing AI with security in its heart to avoid vulnerabilities in future AI systems1. Security of AI is an umbrella term that underlies protecting AI systems from malicious behaviour and protecting the public from AI malicious attacks. Malicious behaviour could not only be related to machine learning algorithms but also can occur at data collection and/or data reporting stages. Hence, un-inclusive and biased datasets could indirectly result in biased predictions because of insufficient training of machine learning algorithms. Moreover, inaccurate reporting could result in misunderstanding and thereby misinterpretation of findings. Equally using wrong algorithms or exploitation of algorithms could lead to inaccurate predictions that have adversative impact on the public and the environment. This presentation will shed the light on AI security throughout its lifecycle from data collection to final data reporting. It discusses in detail accidental and purposive AI threats relating to data quality, data breaches, social engineering, adversial attacks, algorithms misuse, and inaccurate reporting. The discussion will be supported by proposions to warrant AI security via a combined approach that has data collection tools, strong regulations, training sessions and guidelines.

Author 1

Prof. Ali Selamat

International Institute of Technology (MJIIT), (Universiti Teknologi Malaysia).

Dr. Ali Selamat is an academician at Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia. An academic institution established under the cooperation of JICA (Japanese International Cooperation Agency) and Ministry of Higher Education Malaysia (MOHE) to provide Japanese-oriented engineering education in Malaysia ( Currently he is serving as the Dean for the institute. He is also current a chair of IEEE Computer Society, Malaysia Section. rof. Ali was the Chief Information Officer (CIO) and Director of ICT, Universiti Teknologi Malaysia. He was the Dean of Research Alliance in Knowledge Economy (K-Economy RA) UTM which is currently renamed as Smart Digital Community Research Alliance, UTM. He is currently a professor in Software Engineering at Faculty of Computing, UTM.

Previously he was an IT Manager at School of Graduate Studies (SPS), UTM. He is also was a head of Software Engineering Research Group (SERG), K-Economy Research Alliance, UTM. He is also the editorial board of Knowledge-Based Systems Journal Elsevier, International Journal of Information and Database Systems (IJIDS), Inderscience Publications, Vietnam Journal of Computer Science, World Scientific Publications, Service Oriented Computing, Springer Verlag and PSU Research Review: An International Journal, published by Emerlad Publications. His research interests include cloud computing, software security, software engineering, software agents, web engineering, information retrievals, pattern recognition, genetic algorithms, neural networks and soft-computing. He received a Diploma in Computer Science, Universiti Teknologi Malaysia (UTM), B.Sc. (Hons.) in IT from Teesside University, United Kingdom and M.Sc. in Distributed Multimedia Interactive Systems from Lancaster University, United Kingdom. He received Japanese Language Certificate from Osaka University of Foreign Studies which is currently is part of Osaka University, Japan. He has received a Dr. Eng. degree from Osaka Prefecture University, Japan. Prof. Ali Selamat is currently a visiting Professor at Hradec Kralove University, Czech Republic, Kagioshima Institute of Technology, Japan. He was a visiting Professor at Kuwait University, Japan Universities, Universitas Islam Sultan Agung (UNISULA) Indonesia, and keynote speaker in many international conferences.

The application of Internet of Medical Thing (IoMT) has culminated in healthy lifestyles. Nevertheless, the IoMT system is under high risk of zero-day ransomware attacks. An intensive and extensive literature survey showed that Machine learning (ML) has been adopted in several ways to tackle the problem of ransomware detection in conventional and IoT networks. However, the IoMT devices are too fragile to satisfy the computing demands of machine learning algorithms. Hence, cloud security approaches are alternatively used by researchers. Cloud-based applications are distinguished by high latency, privacy concerns, and a centralized approach, making them unsuitable for use in the IoMT systems for ransomware detection. Furthermore, any delay in the reporting of an attack is acted upon raising the likelihood of threats such as ransomware attacks spreading. As a result, fog-based detection seems to be the perfect fit for the IoMT ransomware detection as it reduces latency and provides an average resource of memory and processors.
Author 1

Prof. Dr. Sultan Abu Orabi

Professor Abu- Orabi graduated from University of Jordan in 1973. In 1977 obtained master degree in organic chemistry from western Michigan University (USA). In 1982 obtained Ph.D. degree from the University of Michigan – Ann Arbor (USA). In July 1982, started his career at Yarmouk University (Jordan) as assistant professor. Dr. Abu- Orabi was visiting professor at Bahrain University between 1989-1990. Then appointed at King fahd University of petroleum and Minerals (Saudi Arabia) from 1990-1993 & 1996-1998. In 2001, Dr. Abu-Orabi was appointed as Dean of students Affairs at Yarmouk University. In September 2002 Dr. Abu-Orabi was appointed as president of Irbid University (Jordan). In March 2005, was appointed as founder and president of Tafila Techical University. In March 2009 was appointed as president of Yarmouk University (the second Largest University in Jordan). In July 2011, Abu –Orabi was elected as the secretary general of the Association of Arab universities until July 2018. Currently, Prof. Abu-Orabi is the President of Tishk International University (Erbil-Iraq). He also was President of the Jordanian Chemical Society and President of the Arab Union of Chemists. Dr. Abu Orabi is an Editor-in-chief of many international journals, and is a member of many editorial boards. He is also Member of Board of Trustees of several local and international universities.

He Participated in over 250 conferences at the national, regional and international levels; Organized over 20 national and international conferences in Jordan and Arab Countries and Served on many International Advisory Boards. He also acted as Chair or member of the Scientific and Organization Committees of several national and international scientific meetings.He was awarded Shoman Prize for Young Scientists – Jordan, in 1988; Alexander Von Humboldt fellowship, Germany 1989, 2013 and 2018; "Badge of Honor Medal" presented by the International Scientific Partnership Foundation, Russia, for the Development of Science in Jordan and Arab countries and International Collaboration, 2007; "Jewels of the Muslim World" Award for 'Top Movers of the Islamic Economics’, Kuala Lumpur, Malaysia, presented during the 2nd Muslim World Biz Conference. June 2011 was granted Fellow of the Royal Society of Chemistry, UK 2011, and recently was awarded Honorary Fellowship from Cardiff Metropolitan University (UK) 2017. In 2018, Dr. Abu -Orabi was granted three more honorary doctorate degrees from Bolograd University (Russia), Management and Science University (Malysia) and from International Islamic University of Malaysia. He published over 115 papers throughout his career spanning more than forty years. Supervised and served on examining dissertations for more than Eighty M.Sc and Ph.D students in Jordan, Arab World, India and Europe.

Author 1

Prof. Dr. Adnan Al-anbuky

Electrical & Electronic Engineering Department

School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

Professor Adnan Al-Anbuky directs AUT’s Sensor Network and Smart Environment (SeNSe) research laboratory. Smart environments require sensors, intelligence, communication, and actions. As the problem involvement and complexity varies, the involvements and execution or implementation platform for each of these actors takes different shape. Getting these components to working in harmony and on the appropriate physical or virtual platform is Professor Al-Anbuky’s area of expertise. Immediately after his electrical engineering degree at the University of Baghdad, he won a scholarship to do postgraduate studies in United Kingdom. He became interested in digital electronics together with control systems and was encouraged to enter the field of incremental motion control as applied to computer numerical control. In the early 70s these were key drivers of the emergence of industrial automation which was the subject of his master’s and doctoral degrees. Current progression of this area has led to today’s industrial IoT (IIoT) or Industry4.

This focus continued after graduation until he arrived to New Zealand in the mid-90s where he established an industrial research unit for DC power quality monitoring and management systems firm SWICHTEC Power Systems. The unit has gone on to deliver concepts for products, numerous patents (a portfolio of around 40 international filings), turned out intellectual property for products and “better still, experts” says Professor Al-Anbuky. Returning to academia at AUT in 2005, Professor Al-Anbuky utilised his industry experience to establish the School of Engineering’s SeNSe lab which every year attracts numerous researchers, projects, funds, and local and international connections. The SeNSe lab is involved with the development of various concepts relevant to smart environments through the focus area of wireless sensor actuator networks (WSAN). With the progress of technologies and introduction of cloud and edge computing, software defined networks, networks virtualization and re-orchestration, the research focus is extended to cover investigating the empowerment of limited resources physical networks through the cyber backup. This in effect covered the interrelation between the physical and virtual processes and support intelligent and adaptive solutions that dynamically re-orchestrate the actors in responding to events within the operational environment. Areas of Internet of Things and cyber physical intelligence becomes natural part of the lab research activities. The lab currently deal with investigating various system organization with focused used cases like human movements and precision health, vehicular networks and smart dynamic grouping, conservation monitoring and UAVs as data ferry and others.

Connectivity, Movement Monitoring, and Mobility Intelligence CM3I

The three interconnected concepts of connectivity, movement monitoring, and mobility intelligence plays significant role in various applicants including smart city, healthcare, transportation, and industrial operations. IoT offers modern representation of connectivity. It utilizes the various communication means and protocols including the Internet for communicating its data and events. The emergence of distributed IoT takes the approach further by involving communal connectivity and widen the space of coverage for meaningful monitoring. Good number of applications relies on movement monitoring. Data collection and analysis facilitate the means for intelligence. The main challenge here is how compatible these operations are to the need of the physical processes. Furthermore, how effective is their collaborative act in supporting the timely smart management of the physical processes. The utilizing of network and infrastructure virtualization, dynamic reorchestration, and edge computing requires intelligent interaction with ongoing events. The edge computing at both the wireless sensor-actuator edge as well as the access point edge, the reaction-time to process dynamics constrains, and fluidity of data flow over the various network components and in reaction to any network rupture are few of the key challenges that the mobility intelligence needs to take care of. This talk will discuss live examples extracted from AUT Sense lab on software defined wireless and mobile sensor network organizations and possible scenarios for smart mitigation of the challenges. Number of use cases such as vehicular grouping network, UAV-based spatial data collection, and Precision-health human relative movement tracking are discussed. Smart and timely interaction with the physical environment together with software definition should facilitate the fluency in network topological re-orchestration and hence smooth the path towards the data flow. This in effect facilitates the environment for intelligent interaction between the cyber and physical worlds.

Author 1

Prof. Dr. Abir Hussain

Data science and Industrial Applications

Abir Hussain is a professor of Image and Signal Processing at the Department of Electrical Engineering, University of Sharjah, UAE and IEEE senior member.She completed her PhD study at The University of Manchester (UMIST), UK in 2000 with a thesis title Polynomial Neural Networks for Image and Signal Processing. She works in the research areas of Neural Networks, Signal Prediction, and deep learning for industrial applications. Abir has published in number of high esteemed and high impact journals including IEEE Access, Pattern Recognition Letters, IEEE Internet of Things Magazine, Ad Hoc Networks, IEEE Transactions on Sustainable Computing, Expert Systems with Applications, PloS ONE, Electronic Letters, Neurocomputing, and Neural Networks and Applications. Abir has successfully supervised over 20 research students and has been an external examiner to various UK and overseas Universities for postgraduate research degrees. She is an editor for Elsevier Neural Networks, Elsevier Engineering Applications of Artificial Intelligence journal and Plos One.

Data Science represents a multidisciplinary field that involves using various techniques including pattern recognition, computer programmed algorithms and image analysis. knowledge can be gained through datasets gathered from various resource and with various sizes. Mobile phones, remote sensors, software logs and social media platforms can be used to gather large datasets with heterogeneous properties stored using unstructured format and complex relationships between values. Deep learning approaches can be used to extract knowledge and analysis large and complex datasets.

Author 1

Prof. Dr. Ali Jafer Mahdi

Professor Dr. Ali Jafer Mahdi, Ph.D. in Electrical Engineering - Renewable Energy Systems and Power Electronics & Drives from the University of Liverpool, UK. He has been a visiting researcher at South China University of Technology. He is a member of the ICREPQ International Scientific. His research interest includes, but not limited to: wind turbine generators, solar PV systems, electrical machines and power electronics.


Author 1

Prof. Dr. Carlo Trigona

Carlo Trigona presently serves as an Associate Professor of Electronic Instrumentation and Measurements at the University of Catania, Italy, within the Department of Electrical, Electronic, and Computer Engineering (DIEEI). His academic journey began with the attainment of an M.S. degree (cum Laude) in Automation Engineering and Control of Complex Systems from the University of Catania in 2006. Continuing his pursuit, he embarked on his Ph.D. studies at the same university from 2006 to 2009, culminating in the achievement of a Ph.D. degree in Electronic, Automation, and Control of Complex Systems in 2010. His post-doctoral endeavors took him across Europe. From 2010 to 2011, he served as a post-doc and lecturer at the University Montpellier II – LIRMM (France). Subsequently, he continued his post-doc and lecturer roles at DIEEI, University of Catania, from 2011 to 2017. In 2017 to 2018, he furthered his research as a post-doc at the Chemnitz University of Technology (Germany). Returning to the University of Catania, he served as an Assistant Professor of Electronic Instrumentation and Measurements at DIEEI from 2018 to 2020. Continuing his academic progression, he held the position of tenure-track Professor of Electronic Instrumentation and Measurements at the same department from 2020 to 2023. He actively engages in numerous national and international academic and engineering projects, contributing as both coordinator and partner. Additionally, he significantly impacts the Instrumentation and Measurement community through various activities, including editorial roles and serving as a reviewer for esteemed journals from 2006 up to the present. Professor Trigona has received several awards for his research endeavors, notably the 2020 IEEE I&M Outstanding Young Engineer Award for his exceptional contributions to advancing I&M concepts in sensors and transducers for energy harvesting. Regarding his research profile, Prof. Trigona's first paper surfaced in 1997, and presently, he co-authors more than 250 scientific publications with over 2200 citations. These contributions span chapters in books, papers in international journals, proceedings of international conferences, trademarks and patents. His research interests encompass sensors, transducers, MEMS, NEMS, fluxgate magnetometers, energy harvesting, as well as innovative areas such as green and biodegradable sensors and transducers based on living organisms.


Author 1

Prof. Dr. Grzegorz Litak



Author 1

Prof. Dr. Nabil Derbel

Nabil Derbel was born in Sfax (Tunisia) in April 1962. He received his engineering Diploma from the Ecole Nationale d'Ingénieurs de Sfax in 1986, the Diplôme d'Etudes Approfondies in Automatic control from the Institut National des Sciences Appliquées de Toulouse in 1986, the Doctorat d'Université degree from the Laboratoire d'Automatique et d'Analyse des Systèmes de Toulouse in 1989, and the Doctorat d'Etat degree from the Ecole Nationale d'Ingénieurs de Tunis. He joined the Tunisian University in 1989, where he held different position involved in research and education. Currently, he is a full Professor (First Class) of Automatic Control at the Ecole Nationale d'Ingénieurs de Sfax. He is an IEEE Senior member. His current interests include: Optimal Control, Complex Systems, Fuzzy Logic, Neural Networks, Genetic Algorithm. He is the author and the co-author of more than 100 papers published in international Journals and of more than 500 papers published in international conferences. He was the Head of the Research Unit «Intelligent Control, design and Optimisation of complex Systems», from 2001 to 2006. He has been the Director of Study and the Vice Director of the National Engineering School of Sfax from 2011 to 2014. He has been the chairman of the Doctoral committee in «Electrical Enginnering"at the «Ecole Nationale d'Ingénieurs de Sfax"from 2001 to 2003, from 2008 to 2012, and since 2014 until now. He has been invited as Professor visitor at the Ecole Normale Supérieure de Cachan in France in 2002, as invited Professor in the Universität der Bundeswehr Muenchen in Germany in 2006, and as Professor visitor at the IBISC-Evry France, and twice (2009 and 2011) at the PRISME Laboratory, IUT of Bourges, University of Orléans, France. He has been proposed as a member of the exam commission for recruiting new assistant professors in the Ministry of Higher Education in Tunisia twice for two years each one (2001-2002 and 2012-2013), and a member of the exam commission for recruiting professors in the Ministry of Higher Education in Tunisia (2006-2007 and 2017-2018). He is also a member of the committee of the LMD (License-Master-Doctorat regime) programs in the same Ministry (2006-2012). He has supervised more than 50 doctoral Thesis which has been completed (2001-2014). He is supervising more than 10 doctoral Thesis. He was the Chairman of the Scientific Committees of many International Conferences. He was the General Chairman of the International Conferences on, Systems, Signals & Devices: SSD'03, SSD'05, SSD'07, SSD'09, SSD'10, SSD'11, SSD'12. Since 2013, he was the Honorary chair of this conference. He is the Co-Guest Editor of several special issues of International Journals: He was (i) associate editor of the International Journal of Modeling, Identification and Control (IJMIC) since its first issue until 2021, (ii) associate editor of the International Journal of Nonlinear Dynamics and Control (IJNDC) since its first issue until 2021, (iii) associate editor of the International Journal of Computer Applications in Technology (IJCAT) since 2016 until 2021, and (iv) the founder and editor of the International Journal of Digital Signals and Smart Systems (IJDSSS) until 2021. He is the co-Editor-in-chief of the International Journal «Transactions on Systems, Signals & Devices» from 2006 to 2015, published bay Shaker Verlag, Germany. In 2016, this Journal has been transferred to International Journal «Advances in Systems, Signals & Devices», published by De Gruyter, Germany. He has edited and co-edited ten books for Springer.


Author 1

Prof. Dr. Sami El-Ferik

Sami El-Ferik is a Professor in Control and Instrumentation, Engineering Department, and is the Director of the Interdisciplinary Research Center for Smart Mobility and Logistics, at KFUPM. He obtained his B.Sc in Electrical Engineering from Laval University, Quebec, Canada, and M.S and Ph.D both in Control and Automation Electrical and Computer Engineering Department at Ecole Polytechnique, University of Montreal, and Montreal, Canada. His Ph.D. work was on flexible manufacturing systems modeling and control and was co-supervised with Mechanical Engineering. His Master’s degree on identification and optimal control of a stochastic electrical load. After completion of his Ph.D and Post-doctor positions in analysis and control of discrete event systems, he worked at Pratt and Whitney Canada as a Senior Staff Control Analyst within the Research and Development Center of Systems, Controls, and Accessories. His research interests are in sensing, monitoring, and control with strong multidisciplinary research and applications. His research contributions are in control of autonomous single domain and Multi-domain multi-agent systems, Unmanned systems UxV, Biological models of fleet of unmanned aerial vehicles, process control and control loop performance-monitoring, control of systems with delays, modeling and control of stochastic systems, analysis of network stability, condition monitoring and condition-based maintenance.


Author 1

Prof. Dr. Sertac Bayhan

the future: Integration of Electric Vehicles in Transportation System

Sertac Bayhan received the MS and PhD degrees in electrical engineering from Gazi University, Ankara, Turkey, in 2008 and 2012, respectively. His undergraduate studies also at the same university and he graduated as valedictorian. Dr. Bayhan is the recipient of many prestigious international awards, such as the Research Fellow Excellence Award in recognition of his research achievements and exceptional contributions to the Texas A&M University at Qatar in 2018, the Best Paper Recognition at the 41st and 42nd Annual Conference of the IEEE Industrial Electronics Society in 2015 and 2016, Research Excellence Travel Awards in 2014 and 2015 (Texas A&M University at Qatar), and Researcher Support Awards from the Scientific and Technological Research Council of Turkey (TUBITAK). He has acquired $13M in research funding and published more than 150 papers in mostly prestigious IEEE journals and conferences. He is also the coauthor of two books and five book chapters. Dr. Bayhan is an active Senior Member of IEEE. Because of the visibility of his research, he has been recently elected as Chair of IES Power Electronics Technical Committee. He is also the Chair of IEEE-IES Qatar Chapter. He currently also serves as Associate Editor for IEEE TRANSACTIONS on INDUSTRIAL ELECTRONICS, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, IEEE Open Journal of the Industrial Electronics Society, and IEEE Industrial Electronics Technology News, and Guest Editor for the IEEE TRANSACTIONS on INDUSTRIAL INFORMATICS.

As the number of electric vehicles on roads grows, policymakers can unlock extensive value for all consumers, the grid and the environment — provided we integrate EVs strategically into the power and transportation systems. The time is right for new cross-sectoral policies for e-mobility to accelerate the transition to cleaner transport and energy at least cost. In line with the transition to cleaner transport, the State of Qatar has set a bold goal to replace 10% of its vehicle fleet with EVs by 2030. On the other hand, rapid adoption of such EV levels requires a thorough investigation of obstacles arising in technological, economic, and behavioral domains. Furthermore, Qatar characterized by hot and harsh climates where there can be some challenges with respect to the integration of electric vehicles in their road transport systems.This talk provides insights and initial outcomes from the EV project in Qatar into this important research area by the Qatar Environment and Energy Research Institute (QEERI).