Jon Whittle Jon Whittle is a Professor and Director at CSIRO's Data61, Australia's national research center for data science, digital technologies, and AI. He leads a team of over 800 staff and affiliates, fostering collaborations with industries and over 30 universities. His work focuses on translating cutting-edge research into societal benefits through AI, cybersecurity, robotics, and computational science. Research Interests Whittle's research emphasizes Responsible AI , including ethical design patterns, governance frameworks, and human-values integration in software systems. He explores topics like AI risk assessment, foundation model architectures, and user-centric development for mobile apps and enterprise tools. His work bridges theory and practice, addressing challenges in AI adoption, transparency, and societal impact. Collaborations & Impact Data61 operates across CSIRO's interdisciplinary domains (e.g., health, agriculture, energy) to solve real-world problems. Whittle’s initiatives aim to operationalize ethical principles into AI systems, ensuring trustworthiness and compliance across sectors like finance and healthcare. Grants & Projects While specific grants are not detailed, his leadership role suggests involvement in large-scale national and industry-funded projects focused on AI innovation and responsible technology development.
Professor Theodore Turocy is a Professor of Economics at the University of East Anglia (UEA), serving as Deputy Head of the School of Economics and Associate Dean for Research in the Faculty of Social Sciences. He holds leadership roles in the Alan Turing Institute (Theme Lead for Game Theory) and previously directed the Centre for Behavioural and Experimental Social Science . His research focuses on decision processes, game theory, and behavioral economics, with an emphasis on choice architecture, public goods, and auctions. He leads the Gambit software project for game theory analysis. Education: PhD in Managerial Economics and Decision Science (Northwestern University, 2001); BS in Computer Science and Economics (California Institute of Technology, 1994). Recent projects include developing behavior change interventions for coastal environments (East Suffolk Council), studying consumer engagement (ESRC), and analyzing water conservation strategies (with Anglian Water). His work contributes to UN Sustainable Development Goals related to sustainable consumption and resource management. Key collaborations span institutions like the University of Nottingham and Warwick, funded by ESRC, British Academy, and InnovateUK. He directs the Lab for Economic and Decision Research and serves as Vice President of the Economic Science Association.
António Godinho is Professor Coordenador Principal at ISLA Instituto Politécnico de Gestão e Tecnologia and President of its Escola Superior de Tecnologia. He holds dual PhDs: one in Systems of Information from Universidade do Minho (1997) and another in Computation from The University of Manchester (1982). His research focuses on Data Mining, Business Intelligence, and Education Technology through projects like SOLVER ATE and Skills 4 Pós-COVID. His research interests span: Data mining applications in business and education AI-driven security solutions Blockchain for academic systems Digital health interventions Recent publications (2023-2025) primarily explore AI applications in cybersecurity, urban development, and healthcare. Trend analysis shows strong emphasis on machine learning implementation across diverse sectors including telecom, smart cities, and diabetes management. He leads research initiatives at Instituto Politécnico do Porto Centro de Estudos Organizacionais e Sociais and manages SISQUAL - a software R&D company. Current projects include workforce optimization systems and educational technology platforms.
Prof. Dr. Recep YILMAZ is a faculty member at the Department of Business Administration, Faculty of Business Administration, Sakarya University. His academic roles include teaching and research in cost accounting, management accounting, ERP systems, and financial information management. He holds a full-time professorship and has been actively involved in academic contributions since at least 2003. Education & Professional Background: While specific educational details are not explicitly listed, his extensive publications and project leadership indicate advanced academic credentials in business administration and related fields. Research Interests: Prof. YILMAZ focuses on cost accounting methodologies, ERP system implementations, supply chain optimization, manufacturing process control, and financial accounting standards compliance. His work integrates computer science applications (e.g., deep learning for inventory management) with traditional business disciplines. Article Trends: Recent publications emphasize predictive modeling in environmental risk management, real-time inventory systems, and ERP adoption in IFRS conversion. Earlier work includes studies on flexible manufacturing environments, fraud detection in ERP systems, and activity-based costing practices. Awards: Received the 'Eğitimde Müşemmelik Ödülü' (Excellence in Education Award) from Sakarya University in 2016. Research Projects: Led or contributed to over 20 projects, including real-time inventory models, dam occupancy predictions, and ERP system development. Grants & Mentorship: Supervised 13 doctoral and master’s theses, focusing on topics like ERP integration challenges, financial fair-play criteria in football clubs, and strategic pricing in furniture industries. He has also served on doctoral juries and academic organizing committees. Labs & Teams: Active in interdisciplinary teams developing digital systems (e.g., real-time document control, robotic sensing) and collaborating with industry partners like Arvasis Bilişim.
René Meier is a Professor at the Lucerne School of Computer Science and Information Technology, Lucerne University of Applied Sciences and Arts. He co-heads the Systems and Software Research Lab. His research focuses on mobile systems and software architectures. Key interests include: Mobile business processes and applications Smart systems for logistics and tourism Data-driven optimization techniques Autonomous robotic systems His publications demonstrate strong emphasis on practical applications in supply chain optimization and tourism technology. Recent works explore AI-driven solutions for industrial and service sectors. He has supervised graduate students including Mathis Fux, and leads projects funded by EU FP, CTI, and Hasler Foundation.
Donald Olsen is a Lecturer at the Lucerne School of Engineering and Architecture (HSLU) within the Institute of Mechanical Engineering and Energy Technology. His work focuses on industrial energy efficiency, particularly thermal energy systems and process integration using pinch analysis. He holds a Bachelor of Applied Science in Chemical Engineering from the University of British Columbia and a Master of Engineering in Chemical and Petroleum Engineering from the University of Calgary. Olsen's research emphasizes optimizing energy use in industrial processes through advanced methodologies like hybrid genetic algorithms and nonlinear programming. Key projects include integrating solar thermal systems in breweries, developing thermal energy storage strategies for batch processes, and applying pinch analysis for heat pump integration. He has collaborated on major initiatives such as the SWEET DeCarbCH project and the SCCER-Efficient Industrial Processes consortium. His publications span topics like multi-period heat exchanger retrofit optimization, energy storage management in non-continuous processes, and graphical approaches for batch process integration. Olsen has extensive industry experience, including roles at Hyprotech Ltd., Rosen Inspection Technologies, and as a Senior Scientist at HSLU, bridging academic research with practical industrial applications.
Susanne Leitner-Hanetseder is a Professor at the University of Applied Sciences FH Steyr, specializing in Accounting, Controlling, and Financial Management. Her research focuses on digital transformation in finance, artificial intelligence applications in accounting, and sustainability reporting standards. She leads the Research Center Steyr and co-leads the 'FinCoM - Financial Condition Monitoring' research project funded by FTI-Strukturförderung (2022-2023). Her recent work explores AI-driven tools like ChatGPT for financial processes, ESG reporting under new IFRS Sustainability Disclosure Standards (ISSB), and challenges in implementing proportionate consolidation techniques. She frequently presents on topics such as climate risk assessment under IFRS frameworks and post-pandemic banking sector resilience. With an h-index of 16 and over 160 citations, her scholarship bridges academic research and industry practices. She actively contributes to professional development through speaking engagements at conferences and workshops.
Dr. Ratna Saha is a Senior Lecturer at Torrens University Australia, affiliated with the Business and Hospitality Centre for Artificial Intelligence Research and Optimisation (AIRO). She holds a PhD in Computer Science from Flinders University and a BSc in Computer Science and Engineering from Khulna University, Bangladesh. With over 17 years of experience in academia and industry, she focuses on machine learning, medical image analysis, AI-driven healthcare solutions, and generative AI in education. Her research bridges technical innovation with societal impact, particularly in underdeveloped regions. Education: PhD in Computer Science (2020), Flinders University, Australia (Focus: Image Segmentation with Prior Guidance in Cervical Cytology) BSc in Computer Science and Engineering (2007), Khulna University, Bangladesh (Focus: Component-Based Face Detection via SVM) Research Interests: Dr. Saha’s work spans machine learning applications in healthcare diagnostics (e.g., cervical cell segmentation), AI-driven education innovation, and industry 4.0 transformations. She emphasizes interdisciplinary approaches, integrating image processing techniques with medical pathology and leveraging generative AI to enhance learning experiences. Her recent studies explore assembly line optimization in manufacturing and social impacts of business incubation centers in developing economies. Collaborations and Impact: Her research networks span Australia, Bangladesh, and Pakistan, with projects addressing global challenges such as cervical cancer detection and skill development in IT sectors. She actively mentors HDR students in machine learning-based disease prediction and data-driven decision-making frameworks. Current projects include optimizing labor costs in assembly lines using time-study models and fostering entrepreneurial ecosystems through smart educational tools. Professional Experience: Senior Lecturer (Torrens University, 2020–present) Casual Academic (Flinders University, 2016–2020) Lecturer (Khulna University, 2012–present) Senior Software Engineer (Dohatec New Media, 2010–2012) Research Themes: Her publications reflect expertise in medical image segmentation (e.g., cervical nucleus detection), optimization algorithms (e.g., evolutionary harmony search), and socio-economic transformations via technology. Recent trends highlight her shift toward applied AI in education and industry 4.0, complementing her foundational work in computer vision and medical diagnostics. Advising and Grants: Dr. Saha supervises PhD students in machine learning and data-driven healthcare. She has secured research grants focusing on AI applications in education and healthcare, and her work is cited across interdisciplinary fields (h-index: 6, 102 citations).
Professor Soili Nystén-Haarala is a senior legal scholar at the University of Lapland's Faculty of Law, leading research in the Law, Technology and Design Thinking and Law, Markets and Environment groups. Her expertise spans: Arctic legal frameworks and indigenous rights Contract law innovation and relational governance Corporate environmental responsibility Sustainability policy in resource extraction Her recent research (2019-2024) examines: Legal protections for Sámi communities in infrastructure development Governance models for Arctic economies Agile contracting methodologies in nuclear and energy projects Benefit-sharing mechanisms in extractive industries She has contributed to significant legal anthologies including the Restatement of Nordic Contract Law and serves on editorial boards for specialized law journals.
Dr. Elena Fumagalli is an Assistant Professor at Utrecht University's Copernicus Institute of Sustainable Development (Energy & Resources department) and holds a part-time professorship at the European University Institute's Florence School of Regulation. Her work focuses on energy transition, including incentive regulation of energy networks, energy markets design, and sustainable energy access. She has consulted for institutions like Italy's ARERA and the Italian Power Exchange, and previously served as an Associate Professor at Politecnico di Milano. Research Interests : Her research addresses challenges in energy transition, such as regulatory frameworks for renewable integration, energy market design innovations, and equitable energy access in vulnerable regions like refugee settlements. She also explores the interplay between energy systems and socio-economic factors, including food security in humanitarian contexts. Key Projects : She leads projects like MODES (Marker Organization of the Dutch Energy System) and studies energy access in Sub-Saharan African refugee camps. Recent work includes analyzing offshore wind farm network resilience and light-robust optimization in electricity markets. Teaching & Leadership : She co-leads the Energy Science program and teaches courses on energy markets and sustainability analysis. She has served on Utrecht's Faculty Council and participated in the Westerdijk Leadership Program.
Assoc. Prof. Dr. Murat Ozdenefe is an Associate Professor in the Department of Mechanical Engineering at Eastern Mediterranean University (EMU), North Cyprus. He holds a PhD from The University of Manchester (2013), an MSc from EMU (2008), and a BSc from Çukurova University (2006). His research focuses on building heat transfer, phase change materials, energy auditing, and passive building systems. He has served as Chair of the EMU Mechanical Engineering Department since 2022 and previously as Vice Chair (2020–2022). He teaches courses in solar energy, thermodynamics, and HVAC systems. Education: PhD, Mechanical Engineering, University of Manchester (2013) MSc, Mechanical Engineering, Eastern Mediterranean University (2008) BSc, Mechanical Engineering, Çukurova University (2006) Research Interests: Dr. Ozdenefe’s work emphasizes sustainable building technologies, including thermal performance simulation, phase change materials, and energy-efficient retrofitting. He has published extensively on Trombe walls, solar air heaters, and energy auditing methodologies. His research integrates simulation tools like EnergyPlus with experimental validation to improve building energy efficiency. Publications Trends: Recent work includes optimizing solar air heater designs, calibrating energy models for residential buildings, and evaluating Trombe wall viability. His studies often address Cyprus-specific climate challenges and practical implementation of passive systems. Awards & Grants: No awards explicitly listed, though his roles in academic committees and professional organizations indicate recognition. He has led projects on energy efficiency and thermal performance funded by institutional grants. Advising & Committees: Supervised 8 MSc theses and 1 PhD thesis on topics like hybrid photovoltaic systems and geothermal integration. Managed ABET accreditation and summer practice programs at EMU. Labs & Teams: Active in the Energy Research Centre at EMU, focusing on building simulation and renewable energy integration.
Prof. Slavica Roceska is a Full Professor at the Faculty of Economics in Prilep, specializing in international economics, international business, and innovation. Her research focuses on SME innovation strategies, EU integration impacts, labor market dynamics, and regional development in transition economies. She has published extensively on Macedonia's economic challenges and global competitiveness. Her academic career includes visiting research stays at prestigious institutions such as Wirtschaftsuniversität Wien (Austria), Franklin University (USA), and the College of Europe (Belgium). She has authored key textbooks including International Trade - Policy and Practice and contributed to studies on Macedonia's economic transformation during the 1990s. Roceska's work bridges theoretical frameworks with practical policy analysis, particularly in innovation systems, e-government readiness, and labor market efficiency. Her collaborative projects with researchers like Marjan Angeleski and Dimitar Nikoloski explore topics ranging from entrepreneurial potential in higher education to crowdsourcing as an innovation driver. Her research trends show a consistent emphasis on Macedonia's economic integration challenges within European frameworks, alongside broader themes of global innovation paradigms and regional policy effectiveness.
Pavle Dakić is a researcher at Singidunum University, affiliated with the Faculty of Informatics and Computing and the Department of Electrical Engineering and Computing. He holds a doctoral degree in Applied Informatics from the Slovak University of Technology (2020-2024) and another doctoral degree in Electrical Engineering and Computing from Singidunum University (2015-2024). His research focuses on autonomous vehicles, cybersecurity, IoT/IIoT systems, and software compliance in automotive and healthcare sectors. He is actively involved in publishing peer-reviewed articles and conference papers, with recent work exploring AI-driven solutions for parking systems, cybersecurity in IoT environments, and the economic impacts of global market changes on automotive manufacturing. Pavle has collaborated on projects addressing standards compliance, fake news mitigation in online communities, and energy efficiency in autonomous vehicles. Education: Doctoral studies in Applied Informatics: Slovak University of Technology (2020-2024) Doctoral studies in Electrical Engineering and Computing: Singidunum University (2015-2024) Master’s in Contemporary Information Technologies: Singidunum University (2014-2015) His research interests span advanced topics such as intrusion detection systems for autonomous vehicles, software quality control using black-box testing, and the intersection of artificial intelligence with call-center optimization in automotive retail. Pavle has contributed to interdisciplinary projects, including analyses of agro-food production potential in Serbia and wage stability in the Republic of Srpska. His work emphasizes practical applications of technology in compliance, sustainability, and industry standards.
Jan Høiberg is an Associate Professor at the Department of Computer Science and Communication, University of South-East Norway. He holds leadership roles including former Dean (1999-2013) and Head of Research (2015-) in the Faculty of Computer Science. His academic career spans over three decades, beginning with a M.Sc. from University of Oslo (1985), followed by roles as a researcher at Veritec AS, Norwegian Computing Center, and Stavanger University/Rogaland Research/University of Texas. He has taught courses such as Algorithms and Datastructures, Operating Systems with Linux, and Supervised Master Theses. His research interests encompass numerical analysis, machine learning, high-performance computing, and popular music history. He has contributed to interdisciplinary projects like The Band Web Site Tags: The Digital Society and authored works on ICT education policies. He serves on multiple national and local councils, including the Norwegian Council for Computer Science and the Board of Directors for Inkubator Halden AS. His publications span topics from reservoir engineering (e.g., permeability modeling) to educational reform in IT. Notable works include Algoritmer og datastrukturer (2013) and The Band: a musical history (2007). He has been actively involved in shaping IT education strategies and promoting technology sustainability. Educations: M.Sc. in Informatics (University of Oslo, 1985) Leadership: 14 years as Dean, extensive council memberships Grants/Projects: Numerous research collaborations in petroleum reservoir modeling and IT education Labs/Teams: Involved in digital society initiatives and reservoir simulation teams
Anniken Susanne Thoresen Karlsen is an Associate Professor in the Department of ICT and Science at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). She has extensive experience in research and teaching, with a focus on digital transformation, software-intensive systems, and emerging technologies. Karlsen holds leadership roles including deputy chair of the interdisciplinary NTNU research group SHAPE and active participation in multiple research centers. Her educational background includes: PhD in Information Science from the University of Bergen (UiB) Master's degree in Information Technology from Aalborg University (AAU) in Denmark Master of Science in Economics from the Norwegian School of Economics (NHH) Computer Engineering degree from Møre og Romsdal School of Engineering (MRIH) One-year practical-pedagogical education from NHH and UiB NTNU's UniPed program for employees Professor Karlsen's research spans a wide spectrum of digital transformation topics. Her work focuses on the integration of concepts from multiple domains to design and develop software-intensive systems. She explores modern software development methodologies, socio-technical systems thinking, and systems engineering approaches. A significant portion of her research addresses emerging technologies such as digital twins, virtual reality, and service robots as building blocks for innovative solutions. She also investigates the digital economy and sustainable development through digital transformation, with particular emphasis on business modeling and change management. Her recent publications demonstrate a strong focus on applying digital technologies to solve real-world problems across multiple sectors. There's a clear trend toward using digital twin technology in various contexts including urban planning, offshore wind farms, and healthcare. Her work in search and rescue operations shows consistent application of AI and knowledge management techniques. Karlsen's research bridges theoretical concepts with practical applications, particularly in sustainability-focused domains like renewable energy and healthcare. Professor Karlsen actively supervises students at all academic levels and has been involved in numerous research projects. She has held various academic leadership positions including vice-dean, head of department, and research group leader. Her collaborative work spans multiple sectors including healthcare, search and rescue, offshore, banking, food, and construction industries. She is affiliated with several research groups and centers: SHAPE - SamHandlingsArena for Prosjektledelse og Endring (2023-present), Deputy Chair The Norwegian Open AI Lab (NAIL) (2023-present) Green2050 - The Centre for Green Shift in the Built Environment (2022-present) Forskningsarena for bærekraftsanalyse (2020-present), Deputy Leader Forskningsgruppen for bærekraftig digital transformasjon, SDT (2017-present), Founder and former Leader
