色花堂

Hamid (Abdelhamid) Bouchachia is Professor of Data Science and Intelligent Systems, leading the Machine Intelligence Research Group, Department of Computing and Informatics, Faculty of Science and Technology, UK. He is the holder of an Engineering degree, Master's, Ph.D and a habilitation degree. He was also a Post Doc at the University of Alberta, Department of Computer and Electrical Engineering, Edmonton, Canada.

His research encompasses various topics of Artificial intelligence and Data Science and their applications (Ubiquitous health and medical science, smart environments and industrial monitoring; smart energy; smart agriculture, assistive technologies and pattern recognition, in particular, scalable machine learning and distributed artificial intelligence, scalable online, active, semi-supervised learning for data streams, scalable pattern recognition including deep learning and hierarchical (graphical) models, reasoning and decision-making and big data technologies and high-performance computing for machine learning. He has published more than 140 papers in international journals and conferences and edited a dozen volumes and special issues as guest editor. He has organised a number of international events (conferences, workshops as well as special sessions). He founded the International Conference on Adaptive and Intelligent Systems (ICAIS). He serves as programme committee member for numerous international conferences and Associate Editor of Evolving Systems and acts as a member of Evolving Intelligent Systems (EIS) Technical Committee (TC) of the IEEE Systems, Man and Cybernetics Society, the IEEE Task-Force for Adaptive and Evolving Fuzzy Systems and the IEEE Computational Intelligence Society. He supervised 7 postdoctoral researchers and 12 PhD students to completion.

Professor Hannes Werthner is a retired Professor for E-Commerce at the Vienna University of Technology, where he served as the Dean of Academic Affairs at the Informatics faculty and the Director of the Vienna PhD School of Informatics. From 2016 to 2019 he served also as the dean of the Faculty Prior to joining TU Wien, he had professorships at Austrian and international Universities. His research is in E-Commerce and E-Tourism, Recommender Systems, and in Network Analysis. Besides research and teaching he was and is active in starting new initiatives, such as the Vienna PhD School of Informatics. the i2c (Informatics Innovation Center), the initiative to support refugees welcome.TU.code, and recently, the Digital Humanism Initiative. Before that he was Professor at the University of Innsbruck, the Vienna University of Economics and at the University of Trento. He was member of the ISTAG strategic advisory board for the European research program IST in FP5 (1998-2002), and acts as the Editor-in-Chief of the journal Information Technology and Tourism, and is on the editorial board of several journals. He holds a Master and Ph.D. from the Vienna University of Technology. He studied Computer Science at the Technical University of Vienna, was visiting professor at several universities, and was a fellow from the Austrian Schr枚dinger foundation. His research activities cover a wide range from e-commerce and e-tourism, Internet-based Information systems, Service engineering, Recommender systems and decision support, Simulation and Artificial Intelligence.

He developed the ENTER conference and was the founding president of IFITT. Since 2011 the International Federation for IT and Tourism (IFITT) grants the 鈥淗annes Werthner Tourism and Technology Lifetime Achievement Award鈥� to outstanding academics and/or professionals in the field.

Dr Nisreen Ameen is a Senior Lecturer (Associate Professor) in Digital Marketing at Royal Holloway, University of London and Director of the Digital Organisation and Society (DOS) research centre. Nisreen is also currently serving as Vice President of the UK Academy of Information Systems (UKAIS) and Co-Chair of the e-Business and Information Systems Management SIG at the British Academy of Management. She is an Associate Editor for Information Technology and People, Computers in Human Behavior and the International Journal of Consumer Studies. Nisreen has also served as a Guest Editor for special issues in various top-ranked journals such as: Tourism Management; Information Systems Frontiers, Psychology and Marketing, Industrial Marketing Management and Journal of Business Research.

Nisreen's research focuses on two main themes: first, consumer interactions with new-age technologies; and second, how organizations can use these technologies to provide better experiences, services and products. Her research has been published in various journals such as: Journal of Travel Research; British Journal of Management; Psychology and Marketing; Information Technology and People; Information Systems Frontiers; Internet Research. She has led multiple funded projects in collaboration with international companies and policymakers, such as projects funded by Innovate UK and GCRF.

Nisreen鈥檚 work has been featured in world-leading media outlets such as CNN, World Bank, The Conversation, New Stateman and Fast Company.

Professor Dinusha Mendis is Professor of Intellectual Property and Innovation Law and Director of the Centre for Intellectual Property Policy and Management (CIPPM). She joined 色花堂 in 2011 as Senior Lecturer in Law and was appointed Associate Professor in November 2013 and Professor of Intellectual Property & Innovation Law in November 2016. Dinusha was Deputy Dean, Research and Professional Practice (March 2020 - March 2022) and was Head of Research in the Department of Law between 2017-2019.

Currently, Dinusha holds appointments as member of the Metaverse Governance Team of the World Economic Forum; Steering Committee member of the Dfam (additive manufacturing) Network at Loughborough University and is a member of the Copyright Education and Awareness Group, UK Intellectual Property Office. She is also an Executive Member of the British and Irish Legal Education and Technology Association (BILETA) and an External Examiner for the Universities of Aberdeen and London Schools of Economics.

She holds qualifications from the Universities of Aberdeen (LLB (Hons)); Edinburgh (LLM, PhD); Nottingham Trent University (BVC) and has been Called to the Bar of England and Wales and is a member of the Honourable Society of the Middle Temple Inn, London.

In 2023 Dinusha is on research leave and was awarded a JSPS-funded Invitational Visiting Professorship to Waseda University, Tokyo, Japan where she is currently based.

During 2015, Dinusha held appointments as a Visiting Scholar at Stanford Law School, University of Stanford California USA and University of Tasmania Australia.

Ana Isabel Canhoto is Professor of Digital Business at the University of Sussex, UK. Her research focuses on service digitalisation, examining drivers of adoption, user experiences and consequences, with a special focus on situational vulnerability. Recent research has focused on the impact of generative AI on health-related decision making, adoption of smart technology in the home, AI-powered personalisation, and the digitalisation of SMEs. Ana is also committed to the pedagogical use of digital technology, including using machine learning to support pupil performance, creating quasi-simulations for experiential learning, and training early career researchers on conscientious use of generative AI.聽

Each abstract should include (in this order):

• Abstract title (maximum 10 words)
• Authors (indicate corresponding author)
• Affiliations (institution / organisation)
• Text (maximum 300 words): include a summary of the research problem, objectives, methodology, and findings
• Keywords

Workshops are meant to gather a number of people to work interactively on an emerging topic and exchange ideas. Such sessions are intended to help people attending the colloquium organise a related scientific meeting on a specific topic or instruct on a specific practice.

Proposals for workshops are short papers (2 pages maximum) that are not anonymized. Workshops may vary considerably in format but should be directly relevant to the themes and scope of the colloquium. Successful proposals require at least one organiser to register for the Digital Marketing Colloquium 2024. Approved workshops and tutorials will be announced as part of a colloquium programme.

If you would like to organise a workshop, please submit a 2-page maximum proposal covering:

• A brief description of the workshop, outlining format, goals, topic and expected outcomes
• A proposed schedule
• The names, affiliations, and email addresses of the organisers (if more than one person is organising, please indicate the primary contact)

Potential topics of interest should include challenges and opportunities for using AI, Metaverse, and Web3 in digital marketing for businesses and organisations. Indicative areas:

• Digital business process re-engineering
• Digital consumption, behaviour, attitudes, and decision-making
• Digital ecosystems: strategies and operations
• Digital Twins
• Virtual Real Estate
• Enhanced social Web3, virtual and hybrid interactions
• AI in business and industry
• Predictive analytics
• Machine Learning and Algorithms
• AI Supply Chain optimisation
• AI based Customer Relationship Management
• Virtual experiences
• Designing immersive and illusive experience in the Metaverse and Web3
• Interactive and engaging user experiences
• Gamification and serious gaming
• Business models and opportunities
• Future of Work
• Education, training and adaptive learning
• Creativity and design in AI
• Blockchains and smart contracts, cryptocurrencies, NFTs
• Digital Identity: opportunities and challenges
• CyberSecurity and customer experience
• Wearable technology
• Human-robot interaction
• Robotics and Automation design
• Robot based services
• Chatbots and virtual assistants
• Autonomous vehicles and drones
• Environment, climate, energy optimization and sustainability
• Ethical, legal and social implications
• Health and wellbeing

• Early bird full registration ticket: 拢250
• Full registration delegate ticket: 拢295
• Student delegate ticket: 拢125
• Day delegate ticket: 拢130