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Dr. Tyll Robin Lemke is a researcher at Saarland University in the Department of Modern German Linguistics (Neuere deutsche Sprachwissenschaft). He serves as a scientific staff member in Project B3 of the Collaborative Research Center SFB 1102. His academic focus includes experimental linguistics, syntax, and psycholinguistics, with specialized expertise in ellipsis phenomena and fragment analysis. Lemke's research explores the cognitive underpinnings of language production and comprehension, particularly investigating how predictability, context, and information theory shape linguistic structures. His work employs diverse methodologies including corpus analysis, psycholinguistic experiments, computational modeling, and gamified experimental paradigms to examine ellipsis, fragments, and syntactic phenomena in German. Analysis of Lemke's recent publications reveals consistent themes: the role of predictability in language production, constraints on ellipsis resolution, information-theoretic approaches to language efficiency, and experimental validation of syntactic theories. His research bridges theoretical linguistics with cognitive science through innovative experimental designs. In the upcoming 2025/26 winter semester, Lemke is teaching courses on Experimental Linguistics and Ellipsis in Theory and Experiment. He maintains an active research program within the SFB 1102 collaborative framework and regularly presents at international linguistics conferences.

• Linguistics
• Syntax
• Ellipsis
• +3 more

Elise Lavoué is a full Professor in Computer Science at iaelyon School of Management, Jean Moulin Lyon 3 University, and a key researcher at the LIRIS laboratory (CNRS). She leads the SICAL research team and holds leadership roles including Editor-in-Chief of the STICEF journal, member of Labex ASLAN’s management committee, and member of the University of Lyon’s Research Ethics Evaluation Committee (CER-UdL). She is also affiliated with the ATIEF association. Her research focuses on enhancing motivation and engagement in digital learning environments through adaptive gamification, learning analytics, and human-computer interaction. She explores how tailored game elements, emotional awareness tools, and immersive technologies like virtual reality can support self-regulated learning, critical thinking, and skill development in complex digital contexts. Her recent publications span top journals such as IEEE Transactions on Learning Technologies, International Journal of Human-Computer Studies, Computers & Education, and CHI PLAY. These works reflect a strong trend in adaptive and personalized learning technologies, emotion-aware systems, and immersive training environments, particularly in educational and professional settings. Honorable Mention Award at ACM CHI PLAY 2019 (top 4%) Best Industrial Paper award at CSEDU 2020 Elise Lavoué actively supervises PhD students and post-doctoral researchers and leads multiple funded projects including LudiMoodle+, RENFORCE, Lex.gaMe, BODEGA, and Emoviz. These projects involve collaborations with institutions across France and focus on gamification, VR training, emotional dashboards, and vocabulary acquisition. She has secured funding from ANR, Labex ASLAN, CNRS, and other national bodies. Her work emphasizes interdisciplinary collaboration between computer science, education, and social sciences. She is involved in several research teams and labs, primarily the SICAL team within the LIRIS laboratory, a major interdisciplinary research unit in computer science, images, and information systems. Her projects often involve industry partners such as SpeakPlus and Woonoz, and she contributes to both scientific advancement and practical educational innovation.

• Technology Enhanced Learning
• Human-Computer Interaction
• Gamification
• +12 more

Sophie Isaksson Hallstedt is a Full Professor at Chalmers University of Technology, conducting research in Sustainable Product Development (SPD) with a focus on strategic sustainability integration in product innovation. She holds appointments at both Chalmers and Blekinge Institute of Technology, and serves on international Design Society committees. Key Research Areas: Strategic socio-ecological sustainability, digital decision support tools, circular value chains, and sustainability in emerging technologies. Notable Projects: SUSTAIN (aerospace sustainability), Circular Design Nexus (user behavior analysis), and Digital Materials Ecosystems. Awards & Recognition: Featured in Royal Swedish Academy of Engineering Sciences (IVA) 100-list (2020, 2023). Publications: Over 80 peer-reviewed works demonstrating methods for sustainability maturity assessment, impact evaluation, and progress visualization. Teaching & Education: Developed master's programs and PhD courses in sustainability-driven product development. Collaborates extensively with industry partners like GKN Aerospace and VINNOVA. Current work examines predictive models for user behavior and sustainability implications of additive manufacturing.

• Sustainable Product Development
• Strategic Sustainability
• Lifecycle Solutions
• +4 more

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

Dr. Alvedi Sabani is a Senior Lecturer and Program Manager at RMIT University's College of Business and Law, overseeing the Bachelor of Commerce program and leading the EdTech Project. He has held leadership roles including Program Manager for Graduate Certificates in Customer Success and Product Management, and Industry Engagement Director for MBA programs. His research focuses on digital transformation, inclusive technology adoption, and innovative pedagogy through gamification. He co-founded the RMIT GamifiED Hub, advancing learning technologies aligned with RMIT's strategic goals. His work bridges Information Systems and emerging technologies like AI, blockchain, and cloud computing, emphasizing multicultural inclusion in technology adoption. Research interests include AI applications, blockchain governance, and digital innovation leadership. He supervises projects on generative AI in education, digital healthcare transformation, and employer branding in the digital era. His teaching spans Executive MBA programs in areas such as Design Thinking and Technology Futures. He leads the Multicultural Inclusion theme at RMIT's Centre for Organisations and Social Change, addressing equitable technology integration. Key collaborations involve industry engagement for MBA programs and advisory roles. His work contributes to UN Sustainable Development Goals 8 (Economic Growth), 9 (Industry Innovation), 10 (Reduced Inequalities), and 17 (Partnerships). No formal awards are listed, but his contributions to EdTech and inclusive digital practices reflect impactful scholarly work.

• Artificial Intelligence
• Blockchain
• Cloud Computing
• +5 more

Tuğçe Bilen is an Assistant Professor at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering, within the School of Computer and Informatics. Her research focuses on Artificial Intelligence and Computer and Communication Networks, particularly Digital Twin technologies, 6G wireless systems, and smart IoT applications. PhD in Computer Engineering (2017-2022), Istanbul Technical University Master's in Computer Engineering (2016-2017), Istanbul Technical University Licence in Computer Engineering (2010-2015), Istanbul Technical University Her research explores Digital Twin middleware for smart farms, energy-aware task scheduling in 6G edge networks, aeronautical ad-hoc network optimization, and cloud-based protocol enhancements. Recent work addresses metaverse-driven supply chain optimization and secure routing for aircraft networks. Key publication trends show strong focus on: Digital Twin integration across domains 6G wireless network architectures Adaptive routing algorithms Energy-efficient IoT systems Security in airborne communication Machine Learning for network management Scientific recognition includes: Serhat Özyar Young Scientist of the Year Honorary Award (2023) Doctoral Thesis Award from Istanbul Technical University (2023) TÜBA Doctoral Science Awards-Teknofest (2023) She serves as Principal Investigator for the Unsupervised Learning-Based Management of Ad Hoc Airborne Network Topology project (2024-2026) and holds a patent for Parametric Parsing Based Routing System in Content Delivery Networks (2021). As IEEE member since 2015, she contributes to telecommunications standards.

• Artificial Intelligence
• Computer and Communication Networks
• Digital Twin
• +4 more

Dr. William J. Bologna is Assistant Professor in the Department of Speech-Language Pathology & Audiology at Towson University. He directs the Towson Auditory Simulation Lab (TASL), developing innovative assessment approaches using gamification and virtual reality. Research examines: Age-related changes in speech perception and spatial hearing Effects of gamification on auditory assessment Neural coding of speech in noisy environments Contributions of voice expectations to talker selection His work combines psychoacoustic methods with neurophysiological measures to study auditory aging. Recent publications investigate brainstem processing in older adults, gamified spatial hearing tests, and perceptual organization of interrupted speech. Educational background includes PhD (University of Maryland), AuD, and Certificate in Human Investigations (Oregon Health & Science University). Professional affiliations include American Auditory Society and Acoustical Society of America.

• Auditory Aging
• Speech Perception
• Spatial Hearing
• +3 more

Sergio Gago-Masague is a Teaching Professor at the University of California, Irvine (UCI), where he serves in the Department of Computer Science within the School of Information and Computer Sciences. He directs the Engaging Technology and Application Design Lab, focusing on cross-disciplinary research in assistive and educational technologies. Previously, he worked as a Research Scientist at UCI’s California Institute for Telecommunications and Information Technology and lectured in informatics before transitioning to his current role in 2018. His research spans health informatics, human-computer interaction, software engineering, and computer science education. Key projects include developing the Pain Buddy mHealth tool for pediatric cancer pain management, the Maestro platform for teaching AI robustness, and predictive models for improving CS student retention. He has pioneered the use of gamification in education and embedded systems for health monitoring. Education: Ph.D. in Product Engineering, Universitat Politècnica de Catalunya Recent work emphasizes ethical AI in music industry applications, bias mitigation in student admissions algorithms, and leveraging large language models (LLMs) in post-pandemic education. His articles reflect trends in wearable health tech (e.g., transdermal alcohol prediction via hyperdimensional computing) and CS education innovations like customized student-project matching in capstone courses. Recipient of the 2024 UCI Celebration of Teaching Award and a 2023 ICS Awards honoree, Gago-Masague has also contributed to institutional initiatives like the HSI Project for early academic interventions. His lab fosters collaborations across disciplines to design socially impactful technologies.

• Educational Technologies
• Health Informatics
• Human-Computer Interaction
• +7 more

Dr. Christian Scharinger is an Associated Scientist and Principal Investigator at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, where he has been actively engaged in research since 2010. He is a member of the Multimodal Interaction Lab and leads a DFG-funded project on neurophysiological measures in instructional design. His research integrates cognitive psychology with educational technology, focusing on how digital learning environments affect cognitive processes. Christian Scharinger earned his M.A. in Linguistics, Informatics, and Media Sciences from the University of Trier and the University of Konstanz in 2007. He completed his doctoral thesis in Cognitive Science at the University of Tübingen in 2015. From February to September 2017, he served as a postdoctoral researcher at the University of Tübingen’s Chair of Applied Cognitive Psychology and Media Psychology. His research interests center on the cognitive and neurophysiological mechanisms underlying learning in digital environments. He employs advanced methodologies such as combined EEG and eye-tracking to investigate cognitive load, working memory, and the effects of multimedia elements like decorative pictures and virtual reality. He is particularly interested in how seductive details influence learning and how user-friendly digital interfaces can be designed based on neurocognitive data. The recent publications of Christian Scharinger reflect a strong trend in using neurophysiological indicators—especially EEG frequency band power and pupil dilation—to assess cognitive load across various learning contexts, including text reading, VR, and gamified tasks. His work bridges cognitive theory with practical applications in educational design, often evaluating the validity of multimedia learning principles through empirical neurocognitive data. Task-irrelevant decorative pictures increase cognitive load (2024) Effects of emotional decorative pictures on cognitive load (2023) Gamification of n-back tasks (2023) EEG and eye-tracking in text-picture learning (2020) Cross-subject cognitive load classification (2018) Christian Scharinger has been involved in multiple DFG and interdisciplinary research projects, including those on virtual reality, working memory load, and perception of historical sites. He has taught seminars at Hochschule Tuttlingen and Hochschule Fresenius Heidelberg, contributing to academic training in psychology and technology. He is also a member of the IWM postdoc network 'Cognitive Conflicts During Media Use', indicating active engagement in collaborative research. While no formal advisees are listed, his role as a PI and lab member suggests mentorship responsibilities. He has contributed to setting up and operating a combined EEG-eye-tracking laboratory at IWM, demonstrating technical leadership. His work spans both basic and applied research, with implications for instructional design, human-computer interaction, and educational technology. He regularly presents at major conferences such as EARLI, TeaP, and ETRA, and has organized symposia and workshops, reflecting strong academic leadership.

• Cognitive Psychology
• Instructional Psychology
• Educational Technology
• +10 more

Klaus Melchers is a Professor of Work and Organizational Psychology at Ulm University, where he has held a W3 professorship since October 2012. Previously, he served as an Assistant and Senior Assistant at the Department of Psychology, University of Zurich, from 2003 to 2012. He completed his psychology studies at Philipps-University of Marburg and University College, followed by a dissertation in 2003 on stimulus processing in human learning. His research focuses on key areas in personnel selection, including applicant reactions, personality assessment in work contexts, impression management, and the effectiveness of training. He investigates how candidates respond to various selection procedures, particularly focusing on fairness, transparency, and the impact of digital tools such as video interviews and gamified assessments. The recent publication trends reveal a strong emphasis on technology-mediated interviews, applicant faking, fairness in hiring, and the validity of assessment methods. His work increasingly explores digital transformations in recruitment, including asynchronous video interviews, game-based assessments, and algorithmic bias. Themes such as psychological reattachment to work, mobile device use, and sleep also reflect a growing interest in daily work experiences and well-being. Klaus Melchers frequently collaborates with researchers such as Janine Basch, Benjamin Bill, Nina Merkl, and Martin Kleinmann. His publications appear in top journals like Personnel Psychology , Journal of Business and Psychology , and International Journal of Selection and Assessment . While there is no explicit mention of advising students or receiving awards, his extensive publication record and book chapters suggest active mentorship and leadership in the field. He leads the Department of Work and Organizational Psychology at Ulm University, contributing to both academic research and practical applications in HR diagnostics. His work bridges theory and practice, often addressing real-world challenges in personnel selection and organizational psychology.

• Personnel Selection
• Applicant Reactions
• Personality Assessment in Work Context
• +7 more

Francesco Pilla is a Full Professor at University College Dublin's School of Architecture, Planning and Environmental Policy, specializing in Smart and Sustainable Cities. His work bridges urban technology, geospatial modeling, and citizen science initiatives. Coordinates EU Horizon projects: iSCAPE (air pollution control), OPERANDUM (flood risk reduction), WeCount (mobility systems), Connecting Nature (nature-based solutions) Leads SFI Investigator Grant on scalable mobility analytics Co-Director of Spatial Dynamics Lab Research focuses on: Geospatial big data & AI integration Participatory sensing with low-cost sensors Climate action through educational co-design Urban microclimate optimization Policy-driven AI consensus models Key articles demonstrate expertise in air quality monitoring, traffic safety analysis, and energy-efficient urban design. Awards include: Haagen-Smit Prize for atmospheric research Electric Vehicle Awards 2024 for eMobility innovation Academic Research Award from Financial Times Teaching responsibilities include: Advanced GIS (2018-2025) Smart Cities module (2019-2024) Research Methods coordination (2019-2024) Labs & Teams: Co-Director of Spatial Dynamics Lab, member of Science Foundation Ireland Energy Institute, and collaborator with MIT & IBM research labs.

• Smart Cities
• Geospatial Analysis
• Urban Dynamics
• +11 more

Peggy Wehner is a doctoral researcher at the Institute of General Psychology, Department of Psychology, Faculty of Science, Dresden University of Technology. Her work integrates empirical process measures and computational modeling to study cognitive sub-processes in intertemporal and probabilistic decision-making. M.Sc. Psychology: Cognitive Affective Neuroscience (2020), TU Dresden B.Sc. Psychology (2017), TU Dresden Her research focuses on executive functions in self-structured environments, exploring how cognitive flexibility and processing strategies influence decision-making. She has developed educational tools for statistics and cognitive modeling, and her publications span topics like task interruption management, social creativity, and phenotyping methodologies. Professional roles include tutoring 'Data Analysis with R' (2020–present) and 'Advanced Statistical Methods' (2018–2020), with prior experience as a student assistant and research assistant in the Chair of Psychological Research Methods and Cognitive Modeling at TU Dresden.

• Cognitive Psychology
• Decision Making
• Computational Modeling
• +2 more

Prof. Moutaz Haddara is a Professor of Information Systems at Kristiania University College (Oslo, Norway), and holds adjunct professorships at SP Jain School of Global Management, TIAS School for Business & Society, University of South-Eastern Norway, and the American University in Cairo. He is the Founding Director of the IDEAS Lab and Program Manager for the IS-Digital Business Systems MSc program. His research focuses on ERP systems, Big Data, IoT, and digitization, with over 100 publications. He has received awards such as the Certificate of Excellence in Teaching and the Techne Summit Award. His work spans academic roles, industry consulting, and advisory roles for entities like Microsoft Dynamics Academic Alliance. Education : PhD in Information Systems from the University of Agder (Norway). Formerly an Associate Professor at Luleå University of Technology (Sweden). Research Interests : ERP lifecycle, cloud-based systems, IoT applications in healthcare and agriculture, big data analytics, and enterprise systems sustainability. His recent work examines smart city technologies, sustainable ERP adoption, and IoT in energy management. Grants & Projects : Funded projects from Egyptian, Norwegian, Finnish, and Swedish governments focusing on ERP systems and Big Data. Currently evaluates technology grants for the Egyptian Ministry of Communications. Awards : Includes teaching excellence, outstanding reviewing contributions, and recognition for service to academic institutions. Labs & Teams : IDEAS Lab (focusing on digital innovation and enterprise systems).

• Big Data
• Internet of Things (IoT)
• Enterprise Resource Planning (ERP) Systems
• +5 more

Dr. Michael Cahalane is a Senior Lecturer at the School of Information Systems and Technology Management within the Business School at the University of New South Wales (UNSW). He holds a BSc and PhD in Information Systems from University College Cork, Ireland. His research focuses on digital nomadism, CIO leadership, artificial intelligence, virtual reality, gamification, and collaborative consumption. He actively contributes to understanding the intersection of technology and human behavior in modern work environments. Dr. Cahalane's recent work explores the socio-economic impacts of digital nomadism, evolving CIO competencies post-pandemic, and ethical implications of generative AI in immersive systems. His research employs mixed-methods approaches, including ethnographic studies and Delphi methodologies. His publications span topics from algorithm aversion in decision-making to the role of gamification in health behavior change. He has not disclosed awards or grants in the provided materials. Teaching and supervision activities are listed under his profile but specific details were not elaborated. Dr. Cahalane’s work bridges theoretical frameworks with real-world applications, emphasizing responsible technology leadership and societal impacts of emerging digital practices.

• Information Systems
• Digital Nomadism
• CIO Leadership
• +6 more

Iryna Yevseyeva is an Associate Professor in Computer Science at De Montfort University, affiliated with the Faculty of Computing, Engineering and Media and the School of Computer Science and Informatics. She leads the Cyber Security subject group and serves as Deputy Director of the Cyber Technology Institute. Her academic journey includes research roles at Newcastle University, the University of Leiden, Polytechnic Institute of Leiria, INESC Porto, and the University of Algarve. PhD in Multicriteria Decision Aiding, University of Jyväskylä, Finland Postdoctoral experience in the Netherlands, Portugal, and the UK Fellow of the Higher Education Academy (FHEA) Her research focuses on the application of operational research methods—particularly multi-criteria decision analysis and multiobjective optimization—to critical challenges in cyber security, including risk assessment, investment decisions, threat intelligence, and human behavior. She integrates decision science with cybersecurity to develop practical, data-driven frameworks for security governance and incident response. The recent publications highlight a strong trajectory in applying advanced computational and optimization techniques to cybersecurity problems. Themes include evolutionary optimization for privacy metrics, gamified training for incident response, human error modeling (IS-CHEC), and portfolio optimization in both drug discovery and security controls. The interdisciplinary nature spans computer science, operational research, behavioral psychology, and healthcare informatics. DMU Commercialisation Award (2018) Academy of Finland Grant (2008) Erasmus Mundus Grant (2008) Iryna has supervised 4 PhD students to completion and currently co-supervises 5 others. She has led over 10 research projects and secured more than 10 small grants as Principal Investigator, along with industrial grants from Innovate UK and Airbus. Her academic service is extensive, including guest editing for Springer journals, organizing international workshops (LeGO 2018, EMO 2023 track), and peer reviewing for top-tier journals and funding councils like EPSRC, MRC, and Horizon2020. She is actively involved in the Cyber Technology Institute and leads research within the Multi-Criteria Decision Making and optimization domain. Her collaborations span Brazil (Unijuí), Finland, the Netherlands, and Portugal, reflecting a globally connected research profile.

• Cyber Security
• Operational Research
• Multi-Criteria Decision Analysis
• +7 more