Dr Dimitrios Kolyperas is a Lecturer in Marketing & Retail at the University of Stirling, affiliated with the Institute for Retail Studies. His research spans sport marketing, corporate social responsibility (CSR), digital sustainability, and social media analysis. Digital Society and Culture Health & Behaviour Contextual Learning in Humans and Machines Being Connected His work focuses on CSR in sports organizations, ethical practices in eSports, and value co-creation through fan engagement. Recent publications investigate Twitter communication, mixed-reality sports platforms, and sustainability frameworks in football and eSports. Key trends in his 15 most recent articles include the intersection of digital technologies and CSR, fan behavior on social media, and ethical challenges in competitive gaming. He employs methodologies like bibliometric analysis and machine learning to study these domains.
Jana GROSS serves as an Assistant Professor in the Marketing Department at KEDGE Business School, bringing expertise forged through both rigorous academic research and practical industry experience. She holds a PhD in Science from the Swiss Federal Institute of Technology in Zurich and bridges theoretical frameworks with real-world applications in digital marketing strategy and consumer behavior analysis. Education: PhD in Science, Swiss Federal Institute of Technology in Zurich Her research agenda centers on the transformative impact of digital technologies on marketing practices, with deep expertise in social media marketing dynamics, influencer ecosystems, and AI-driven consumer analytics. She investigates how narcissism shapes food consumption patterns, the barriers of natural language processing in social media contexts, and emotional storytelling techniques in sponsored Instagram content. Her work consistently connects psychological insights with tactical marketing applications, particularly in fashion and agricultural sectors. Analysis of her 2018-2025 publications reveals a cohesive trajectory exploring data-driven decision-making in marketing, with increasing emphasis on artificial intelligence integration. Her research spans empirical journal articles, industry case studies (notably for Bordeaux Clothing and Swiss Wines), and theoretical contributions to consumer behavior encyclopedias, demonstrating equal commitment to academic rigor and practical business solutions. No scientific awards were documented in the provided materials. While specific student advisement details remain undisclosed, her industry background as a digital marketing consultant specializing in branding strategy and analytics suggests applied mentorship approaches. The absence of explicit grant information contrasts with her prolific case study output through CCMP, indicating strong industry-academia collaboration channels. No dedicated research laboratories or formal teams were referenced, though her frequent collaborations with scholars like S. Atallah Bidart and R. Lunardo imply dynamic cross-institutional research networks focused on contemporary marketing challenges.
Prof. Dr. Fabian Fassnacht holds the Professorship for Remote Sensing and Geoinformatics at the Institute of Geographical Sciences, Freie Universität Berlin. His research focuses on applying remote sensing technologies to understand ecological patterns and processes in vegetation ecosystems, particularly forest systems and urban trees. He specializes in developing workflows for quantifying forest attributes and creating synthetic remote sensing data to improve ecological understanding and monitoring. Education: PhD in Forestry Sciences (University of Freiburg, 2010-2014) Key Projects: FORZA (forest decline analysis), INSANE (spatial forest products), ErWiN (wildfire dynamics), SYSSIFOSS (synthetic forest data), SaMovar (invasive species monitoring) Research Focus: Multi-scale vegetation monitoring, 3D forest modeling, upscaling ecological processes, and wildfire risk assessment using LiDAR and UAV technologies His work addresses critical challenges in remote sensing applications across diverse ecosystems, including semi-arid forests and temperate woodlands. He has coordinated numerous research initiatives funded by BMBF, DAAD, DFG, and other international agencies. Current efforts involve integrating deep learning with traditional remote sensing methods to enhance forest inventory models and ecological assessments.
Frédéric Dufaux is a CNRS Research Director at Université Paris-Saclay, affiliated with CentraleSupélec and the Laboratoire des Signaux et Systèmes (L2S), where he heads the Telecom and Networking hub. He holds an M.Sc. in Physics (1990) and a Ph.D. in Electrical Engineering (1994) from the Swiss Federal Institute of Technology (EPFL). With over 20 years of research experience, he previously worked at EPFL, MIT, and industry leaders including Compaq and Digital Equipment. His research spans: Fundamental video coding techniques and 3D video systems High dynamic range imaging and perceptual quality assessment Privacy-preserving video surveillance and multimedia content analysis Wireless video transmission and next-generation compression standards Recent publications focus on HDR compression optimization, semantic video coding using seam carving, distributed video coding with machine learning, and 3D video standardization, demonstrating consistent innovation in video processing architectures and perceptual quality enhancement. Awards & Honors: IEEE Fellow Two ISO Awards for contributions to JPEG 2000 wireless (JPWL) and JPSearch standards He leads multiple standardization initiatives in MPEG/JPEG committees and has held editorial leadership roles including Editor-in-Chief of Signal Processing: Image Communication (2010-2019). He chairs the EURASIP Technical Area Committee on Visual Information Processing and has organized major conferences including ICIP and MMSP.
Martina Caic is an Assistant Professor at the Department of Design, Aalto University. Her research focuses on service design, human-robot interaction, and healthcare innovation, with particular emphasis on ethical implications and consumer behavior in automated systems. 2022 Aalto ARTS Teaching Award 2018 Robert Johnston Outstanding Paper of the Year Award 2019 Outstanding Paper of the Year Award 2021 Outstanding Reviewer (Emerald Literati Awards) As a Full Researcher Profile at Aalto University, she explores themes like: Role changes in human-AI collaboration Smart technologies for healthy aging Service design for Industry 5.0 Ethical frameworks in robotic care Her publications span top journals like Journal of Service Management , Journal of Services Marketing , and International Journal of Social Robotics . Martina collaborates with interdisciplinary teams on topics ranging from parasocial interactions in digital reviews to systemic diversity initiatives.
Dr. Bettina Frankham is a Senior Lecturer in Digital Media at the School of Communication, Faculty of Arts and Social Sciences, University of Technology Sydney (UTS). She combines academic practice with creative work at the intersection of documentary, art, and poetry, focusing on aesthetic experience in knowledge creation. Her research explores digital culture’s impact on media production, expanded documentary practices, and immersive technologies like VR/MR. Education: PhD in Digital Media from UTS (2005–2013) Her scholarly output includes over 20 publications analyzing poetic documentary strategies, mobile media aesthetics, and pandemic-era screen education. Recent work investigates high-visibility clothing as a cultural symbol and the role of lists as heuristic tools in documentary. She contributes to academic leadership through roles like Interim Deputy Head of School and editorial board chair for Sightlines: Filmmaking in the Academy . Teaching focuses on Media Arts and Production, with supervision of research students exploring topics like eco-aesthetic filmmaking and autistic-led screen practices. Her work aligns with UN Sustainable Development Goals for Reduced Inequalities and Quality Education.
Distinguished Professor Jie Lu AO is an internationally renowned scientist in computational intelligence at the University of Technology Sydney, where she serves as Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology and Director of the Australian Artificial Intelligence Institute (AAII), the largest AI hub in Australia with 35 researchers and 230 PhD students. She has been a Professor at UTS since 2007 after serving as Associate Professor from 2004-2006. Professor Lu earned her PhD from Curtin University, Perth, Australia. Her research focuses on computational intelligence with significant contributions to fuzzy transfer learning, concept drift, data-driven decision support systems, and recommender systems. She has developed machine learning models, intelligent recommender systems, and AI-driven decision support systems through collaborations with industry partners including Optus, Sydney Trains, Domain Holdings Australia Ltd, and Workforce Health Assessors Transport NSW. Her recent publications demonstrate a strong focus on addressing challenges in non-stationary environments, out-of-distribution detection, multi-stream concept drift, and applying AI to healthcare applications such as stroke risk prediction and cancer risk assessment. She has pioneered approaches combining traditional AI techniques with large language models for more robust and explainable systems, particularly in legal case recommendation and women's health applications. Officer of the Order of Australia (AO) IEEE Fellow, IFSA Fellow, Australian Computer Society Fellow Australian Laureate Fellow in AI and Industry Laureate Fellow in AI-for-Health UTS Chancellor's Research Medal for Research Excellence (2019) IEEE Transactions on Fuzzy Systems Outstanding Paper award (2019, 2022) Australian Most Innovative Engineer award (2019) NeurIPS 2022 Paper Award Australasian AI Distinguished Research Contribution Award (2022) Australian NSW Premier Prize on Excellence in Engineering (2023) Professor Lu has supervised 60 PhD students to graduation and serves as Editor-In-Chief for Knowledge-Based Systems journal. She has secured 47 ARC grants and over 110 industry projects since 2017, with funding from ARC Discovery projects, ARC Laureate Fellowships, and industry partners. Her leadership has established UTS as a leading center for AI research in Australia, with significant impact across multiple sectors including transportation, telecommunications, healthcare, and education. As Director of the Australian Artificial Intelligence Institute, Professor Lu has built a thriving research ecosystem that bridges academic research with practical industry applications. Her work on concept drift and transfer learning addresses fundamental challenges in adapting machine learning models to changing environments, with direct applications to real-world problems requiring continuous learning and adaptation.
Aleksandra Urman serves as a Postdoctoral Researcher at the Social Computing Group within the Department of Informatics, Faculty of Business, Economics and Informatics at the University of Zurich. Her position bridges computational methodologies with social science inquiry to investigate digital political landscapes. Her academic credentials include a PhD in Social Sciences from the University of Bern (2020), a Master's in Political Science from Central European University (Budapest), and a BA in Asian Studies from the Higher School of Economics (Moscow). This interdisciplinary background informs her approach to analyzing online political behavior. Urman's research specializes in computational political communication with emphases on polarization mechanisms, authoritarian regime tactics, far-right group dynamics, and algorithmic bias in search systems. She employs large-scale data analysis to examine how digital platforms shape political discourse, including studies of Telegram far-right communities, cross-national Twitter polarization, and Russian social media dynamics. Her methodology combines web tracking, content analysis, and cross-platform comparison to audit information ecosystems. Recent publications reveal a concentrated focus on algorithm auditing across search engines and social media, particularly examining generative AI's impact on news consumption, visual representation of historical events, and misinformation patterns during elections. Key trends include cross-lingual comparisons of AI guardrails, longitudinal analysis of search result consistency, and cross-national studies of user trust in algorithmic systems. As an active contributor to the University of Zurich's Digital Society Initiative, Urman participates in multiple research communities including DSI Communication, DSI Democracy, and DSI Cybersecurity. Her work involves collaborations across disciplines to address societal challenges in digital governance and platform accountability.
Sophia Charlotte Volk is a Senior Research and Teaching Associate at the Department of Communication and Media Research (IKMZ) , University of Zurich, within the Faculty of Arts and Social Sciences. Her work bridges science communication , digital corporate communication , and international comparative research . Senior Research and Teaching Associate (2021–present) Ph.D. in Communication Science, summa cum laude (Leipzig University, 2015–2021) Visiting Scholar at Hong Kong Baptist University (2017, 2018) Her research explores strategic science communication in digital environments , team science dynamics , and evaluation of communication impact . She leads projects like the DSI Information Abundance Project and investigates AI’s role in science communication . Recent work focuses on generative AI’s portrayal of science and universities’ social media strategies. Volk’s 15 most recent articles address science communication evaluation , AI in digital environments , and information abundance challenges . Key themes include cross-cultural PR ethics , organizational listening , and impact measurement in academic communication . Scientific recognition includes the Dissertation Award (DGPuK, 2022) , IKMZ Teaching Award (2022) , and multiple grants from the Swiss National Science Foundation (SNSF) and German Academic Exchange Service (DAAD) . She serves on editorial boards for journals like Public Relations Review and Global Media Journal , and co-chairs the Public Relations / Organizational Communication Division of DGPuK. Teaching spans BA/MA courses in media management , science communication , and evaluation methods . She also contributes to further education programs in university communication and stakeholder management .
Dr. James Stovold is an Assistant Professor at the Data Science Institute, Lancaster University. His research focuses on emergent behavior, cognitive robotics, and unconventional computing methods, particularly leveraging neural cellular automata and swarm robotics for innovative applications in AI and computational systems. His recent work explores topics such as human-AI symbiosis, reaction-diffusion chemistry for neural networks, and mixed-initiative design tools. Publications span disciplines including artificial intelligence, computational biology, and human-AI interaction. His research has been featured in numerous conference contributions and journal articles, emphasizing interdisciplinary approaches to solving complex computational and robotic challenges. He can be reached via email at j.stovold@lancaster.ac.uk.
Pradip K Srimani is a Professor at the School of Computing , Clemson University , with research focus on Parallel and Distributed Computing , Self-Stabilizing Systems , and Graph Theory Applications . He is an IEEE Life Fellow and ACM Distinguished Scientist with over 250 publications. Research Interests Self-stabilizing algorithms for network graphs Ontology-based biomedical information retrieval High-performance computing resource management Biologically inspired distributed algorithms Network topology computation Recent publications demonstrate expertise in token circulation protocols, genome assembly frameworks, and semantic similarity measurement. He has served on program committees for APDCM , GPC-2018 , and IEEE BigMM conferences, while maintaining editorial roles at International Journal of High Performance Computing and Journal of Big Data . Scientific Awards IEEE Life Fellow ACM Distinguished Scientist
Albrecht Hermann Hofheinz is an Associate Professor at the University of Oslo 's Centre for Middle Eastern and Islamic Studies . His career spans academic research, digital humanities, and humanitarian work across Sudan , Egypt , Morocco , and Palestine . He holds degrees from Berlin , Cairo , Tunis , and Bonn , and was awarded a Dr.philos in 1996 from the University of Bergen for his thesis on Islamic reform movements in Sudan. Academic Affiliation : University of Oslo (2004-present) Humanitarian Experience : International Committee of the Red Cross, United Nations, German Development Service His research focuses on Internet use in the Arab world , Islamic reform movements , Sufism , and Arabic manuscript culture , particularly from Timbuktu . He co-edited themed sections analyzing post-Arab Spring societies and leads the "Timbuktu Manuscripts" project for African cultural preservation. Key Research Areas : 300-year Islamic reform trajectories Digitalization of religious practices Manuscript culture in Africa Arabic social media dynamics Scientific contributions include the Malcolm H. Kerr Dissertation Award Honorable Mention (1997) and publications in the Encyclopaedia of Islam , Journal of Arabic and Islamic Studies , and International Journal of Communication . His teaching portfolio covers Arabic language , Islamic studies , and manuscript analysis .
Ieva Andersone serves as Associate Professor and Director of Study Programs at the Institute of Economics and Entrepreneurship within Riga Technical University's Faculty of Engineering Economics and Management. With over 20 years of academic experience and a 2012 doctorate in economics (thesis: 'Consumer behavior in the market in the context of entrepreneurial decision-making'), she leads the master's program in Entrepreneurship and Management. Her research centers on marketing dynamics and consumer behavior evolution , with particular expertise in digital marketing impacts, generational consumption patterns, and branding strategies. Recent work examines pandemic-driven behavioral shifts across generations X/Y, influencer marketing efficacy, and masculinity representations in advertising through qualitative digital engagement analysis. Article trends reveal consistent focus on real-world marketing applications: 66% address pandemic-era consumer adaptation (2020-2022), while 2024 publications pivot to digital strategy optimization in specialized retail contexts. Methodologically, her work combines conference proceedings with multi-country collaboration. Administratively, she contributes to ERASMUS+ project 'Study process organization according to business principles' (2019-2022) as Scientific Assistant. Professional profiles are maintained via ORCID, SCOPUS, ResearchGate, and LinkedIn.
Professor Dorothy Yen is a Professor of Marketing and Deputy Dean of Brunel Business School at Brunel University London. She leads internationalisation strategies and student recruitment while researching consumer-centric social marketing, cross-cultural business relationships, and wellbeing-focused consumption. Her work spans aging populations, migrant acculturation, destination branding (e.g., Wales' 'Land of Dragons and Legends' initiative), and the Happy to Chat charity reducing social isolation. She holds a PhD from the University of Leeds and has held leadership roles including PGR Director and Director of Research. Key research focuses include cultural impacts on consumer behavior, healthy aging frameworks, and the role of storytelling in tourism. Notable projects include ESRC-funded research on public trust during the pandemic (£414,486) and collaborations with Visit Wales. She teaches MBA marketing modules emphasizing real-world case studies and has supervised over 30 PhD students on topics like nation branding and intergenerational bridging. Her interdisciplinary approach bridges academia with practice, addressing societal challenges through strategies like community engagement and policy advocacy. Current initiatives include promoting Wales' tourism narrative and advancing healthy aging interventions.
Jim Gleason is a Professor in the Department of Mathematics at The University of Alabama. His work focuses on mathematics education, particularly in teacher preparation, educational measurement, and content knowledge for teaching at secondary and post-secondary levels. He holds a Ph.D. in Mathematics from the University of California, Santa Barbara (2002), with a thesis in Multivariable Operator Theory. His research spans curriculum design, assessment tools for mathematics education, and collaborative teaching strategies. Education: Ph.D., Mathematics, University of California, Santa Barbara, 2002 M.A., Mathematics, University of California, Santa Barbara, 1998 B.S., Mathematics, Azusa Pacific University, 1995 Research Interests: Mathematics education policy and pedagogy Development of teacher leadership programs Classroom assessment protocols (e.g., MCOP2) Psychometric analysis of educational instruments His recent work emphasizes improving mathematics education through validated assessment tools, teacher professional development, and programmatic evaluations. Notable contributions include the Mathematics Classroom Observation Protocol for Practices (MCOP2) and studies on calculus concept inventories. Advising and Grants: Focus on mathematics education innovation and teacher training Collaborations with K-12 institutions and special education programs
