Neil Alperstein is a Professor with a Ph.D. in American Studies from the University of Maryland, College Park. His research focuses on parasocial relationships with media figures, digital media’s impact on social connections, and health communication through online platforms. He has co-authored the book Best Practices in Online Program Development and authored Advertising in Everyday Life and Celebrity and Mediated Social Connections . Education: Ph.D. in American Studies, University of Maryland, College Park. His work spans social media’s role in vaccination promotion, data privacy in digital health, and parasocial dynamics in advertising. Recent publications explore social norms in vaccine campaigns, web ecology of health websites, and ethical implications of digital surveillance. He is an accredited member of the Public Relations Society of America (PRSSA) and a Fellow of the organization. Scientific Awards: Accredited member of PRSSA; Elected to PRSSA College of Fellows. Teaching Interests: Emerging media’s influence on daily life, online education technologies.
Lu Ding is an Assistant Professor in the Instructional Design and Development Program at the University of South Alabama's Department of Counseling and Instructional Sciences within the College of Education and Professional Studies. Their role emphasizes innovative teaching methodologies and research in educational technology. Education: B.S., Instructional Technology, Wuhan Sports University (2009) M.Ed., Journalism and Communication, Wuhan Sports University (2012) Ph.D., Learning, Design, and Technology, University of Georgia (2017) Research Interests: Focuses on the intersection of learning sciences and instructional design, particularly in online environments. Key areas include: Video-based learning strategies (e.g., tutoring-style videos, dialogue videos) Gamification in education (online discussions, course design) STEM education innovation AI literacy and automated feedback systems Student motivation and engagement mechanisms Article Trends: Recent work explores the efficacy of video formats in STEM education, AI integration in teaching, gamification mechanics, and automated feedback systems in programming courses. Studies emphasize practical applications in authentic classroom settings. Awards: No specific scientific awards mentioned. Active in peer review for journals like Computers and Education and Technology, Pedagogy, and Education . Advising & Grants: Information on current advisees or funded grants not provided in the text. Teaching responsibilities include courses like ISD 653 (Developing Online Instruction) and EDM 510 (Microcomputing Systems in Education). Labs/Teams: No formal lab affiliations explicitly stated. However, research collaborations likely exist through USA's College of Education initiatives like the USA SARIC (South Alabama Research and Innovation Center).
Sinan ARI is a Lecturer in the Educational Sciences Department at Bayburt University's Faculty of Education. He holds a PhD and is actively involved in academic governance roles including Deputy Department Manager and membership in commissions such as the Academic Incentive Application and Review Commission (Educational Sciences) and Bologna Data Entry Commission (Educational Sciences). His research focuses on integrating emerging technologies like AI into educational practices, curriculum design for inclusive education, and sustainable development goals implementation in school systems. Research interests include: Educational Technology (AI applications in classrooms) Inclusive Education and Special Needs Pedagogy Cross-Cultural Teacher Training Systems Curriculum Analysis of Social Studies and Life Sciences Policy Implications of Leadership Regulations Recent publications emphasize trends in AI-driven teaching methods, curriculum modernization, and overcoming barriers to technology adoption among educators. His work highlights the intersection of digital tools and traditional educational frameworks, advocating for adaptive learning systems. Professional involvement includes advising on educational policy reforms and collaborating on interdisciplinary teaching strategies. No lab affiliations or grant details were specified in the provided information.
Shireen Al-Adeimi is an Assistant Professor in the Department of Teacher Education at Michigan State University's College of Education. Her research focuses on enhancing literacy outcomes through dialogic classroom practices, emphasizing critical thinking, reading comprehension, and persuasive writing in elementary education. She develops evidence-based tools to improve academic language and literacy through classroom discussions. Dr. Al-Adeimi holds an Ed.D. from Harvard University. Her work bridges teacher education and curriculum design, with a particular interest in equity-focused pedagogies and anti-imperialist approaches. She investigates discourse analysis methodologies and the role of talk moves in fostering student engagement during controversial topics. Her research emphasizes practical applications, including the ClassBank resource for discourse analysis and low-inference discourse observation tools. She explores intersections between political discourse and education, such as analyzing geopolitical conflicts like Yemen's blockade through an imperial narrative lens. Al-Adeimi's scholarship advocates for dialogic teaching as a mechanism for social justice, linking classroom discussions to broader societal issues. She integrates quantitative methods with qualitative discourse analysis, contributing to both measurement theory and teacher education practice.
Dr. Tang Chun Meng is a Senior Lecturer in the School of Business at James Cook University (Singapore Campus). He holds a PhD in Management from Multimedia University (Malaysia) and MBA/MS degrees from Utah State University (USA). His expertise spans project management, operations management, and supply chain management, with certifications including Certified Supply Chain Professional (CSCP), Lean Six Sigma Black Belt, and Project Management Professional (PMP). Dr. Tang’s research focuses on digital technology’s impact in education (e.g., blended learning, LMS effectiveness) and information systems evaluation. He has published extensively in journals like Electronic Journal of e-Learning and International Journal of Business Information Systems , and edited multiple books on business issues in China and tourism management. His work emphasizes aligning IS with organizational goals and enhancing educational technology adoption. Education: PhD in Management, Multimedia University, Malaysia MBA & MS (Business Information Systems), Utah State University, USA Bachelor of Science, Utah State University, USA Certifications: CSCP, CLTD, CPIM, Lean Six Sigma Black Belt, PRINCE2, PMP, PMI-ACP He is a member of the Association for Supply Chain Management (ASCM) and Project Management Institute (PMI). His professional services include IT advisory for SMEs, focusing on business analytics and supply chain optimization.
Simon Emmerson is a Professor in Music, Technology & Innovation at De Montfort University’s Leicester Media School , with a career spanning nearly five decades. He founded the Electroacoustic Music Association of Great Britain (EMAS) and served on Sonic Arts Network/Sound and Music boards. His DAAD Edgard Varese Visiting Professorship at TU Berlin and Silver Jubilee Visiting Professorship at Western Australian Academy of Performing Arts highlight his global influence. Current research student supervisor at DMU Co-PI on AHRC-funded project New Multimedia Tools for Electroacoustic Music Analysis Editorial Board member for Organised Sound , Radical Musicology , and Journal of Sonic Studies His research focuses on electroacoustic music’s live performance practices, spatial composition, gender dynamics in electronic music institutions, and machine-human listening symbiosis. He pioneered ‘concert installation’ formats like Aeolian , where looping structures create non-linear temporal experiences. Key publications include foundational texts The Language of Electroacoustic Music (1986), Living Electronic Music (2007), and The Routledge Research Companion to Electronic Music (2018). His AHRC-supported project (2010-2013) produced innovative analysis tools for hybrid genres. Scientific contributions: 2019 Oxford Handbook chapter on imagination in performance 2018 ICLI collaboration on crossadaptive processing 2016 EMAS institutional history analysis 2015 Organised Sound article on machine listening 2007 Living Electronic Music monograph As composer, he has created over 50 electroacoustic works performed at festivals in Paris, Berlin, Lisbon, and Birmingham. His advising includes supervising PhD/Masters students at DMU, though specific names aren’t listed. He maintains active performance presence with concerts in 2020 celebrating his 70th birthday.
Josep Lluís Micó Sanz is a Full Professor at the Blanquerna School of Communication and International Relations, Ramon Llull University, specializing in the intersection of Digital Communication , Journalism , Media and Religion , and Political Communication . His research explores the societal impacts of technology, religious media, and digital misinformation. He has collaborated extensively on studies related to social media ethics, political discourse, and cultural narratives. Key Research Trends (2023-2020): Recent work includes analyses of COVID-19 vaccine misinformation in Catholic media , environmental disaster impacts , geolocation in political Twitter conversations , and growth hacking strategies in digital brands . His publications reveal a focus on public health communication , social media ethics , and cross-cultural media analysis . Significant Contributions: He has contributed to understanding online communities (e.g., Catholic Church digital platforms), political activism on social networks , and literary journalism as interreligious dialogue . His 2011 Public Sphere 2.0 study remains one of his most cited works with 269 citations. Awards & Collaborations: While no explicit awards are listed, his collaborations with institutions like the American Behavioral Scientist and journals such as Religions and Vaccines highlight his interdisciplinary impact.
Luca Maiano is a Research Fellow at AlcorLab (Vision, Perception, and Learning Laboratory) within the Department of Computer Science at Sapienza University of Rome. He holds a PhD in Data Science and both bachelor's and master's degrees in Computer Engineering from the same institution. Research Interests: Computer Vision Deep Learning and Continual Learning Media Forensics and Deepfake Detection AI Security and Adversarial Machine Learning Fake News and Disinformation Detection Urban Mobility AI Systems His recent work focuses on detecting synthetic media through multimodal and feature-fusion approaches, adapting models to evolving generative techniques, and securing AI systems against data poisoning. He has contributed to cutting-edge research in deepfake detection, ground-to-aerial image matching, and cooperative urban mobility ecosystems. Recent Publication Trends: His publications from 2024–2025 span top venues in computer vision and AI, showing a strong focus on the security and robustness of AI systems in detecting disinformation. The work integrates deep learning with forensic analysis, emphasizing continual adaptation and multimodal fusion for real-world deployment. Scientific Contributions: Active contributor to media forensics and AI security Published in Pattern Recognition Letters, Computer Vision and Image Understanding, ECIR, IGARSS, and LNCS Guest editor for special issue on disinformation detection Advising and Grants: While no formal students or grants are listed, his role as a research fellow under Prof. Irene Amerini suggests involvement in funded research projects and potential mentorship within the AlcorLab research group. Laboratory Affiliation: Member of AlcorLab (Vision, Perception, and Learning Laboratory) at Sapienza University, a research group focused on computer vision, machine learning, and perception systems.
Maria Da Conceição Gonçalves Costa is an Associate Professor at Universidade Lusófona - Centro Universitário de Lisboa and a Coordinating Investigator at CICANT (UIDB/05260/2020) in Lisbon, Portugal. She teaches across bachelor's, master's, and doctoral programs at ECATI, focusing on Human-Computer Interaction , Research Methodologies , and Media and Education disciplines. Principal Investigator of the GamiLearning project (UTAP-ICDT/IVC-ESCT/0020/2014) funded by FCT Coordinator of ECFOLI (ERASMUS+), MILT (European Commission), and GBL4deaf (FCT/LISBOA2020) Research member of the bYou project (PTDC/COM-OUT/3004/2020) and coordinator of EPIC WE (Horizon Europe) Her research focuses on media literacy , game-based learning , and inclusive education , particularly for deaf students and children with special educational needs . Her publications span media and identity , game design for education , and digital rights for youth. Key article trends include game jams as pedagogical tools, co-creation practices in cultural heritage institutions, and inclusive design for marginalized learners. She has contributed to European policy frameworks and cross-country comparisons in media literacy initiatives.
Pedro Hugo De Queirós Alves is an Associate Professor in the Department of Computer Engineering at Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. He is also a researcher at COPELABS, focusing on software engineering, programming education, and context-aware systems. He previously served as Director of the first-cycle Computer Engineering program. PhD in Computer Engineering and Computers, Instituto Superior Técnico, Universidade de Lisboa (2014) Licenciatura in Computer Engineering and Computers, Instituto Superior Técnico, Universidade de Lisboa (1999) Postgraduate: PAEGI - Advanced Program in Entrepreneurship and Innovation Management His research focuses on automated assessment tools for programming education , integration of large language models in software development , and smartphone-based structural health monitoring . He explores how AI can support, but not replace, student learning in programming, advocating for hybrid human-AI approaches. His work in human-computer interaction includes privacy-preserving social network tools and efficient context-aware messaging systems. His recent publications show a strong trend toward leveraging AI and LLMs in educational technology, particularly in detecting limitations of models like GPT-3.5 and GPT-4 in handling object-oriented programming tasks. He also investigates multimodal learning (diagrams, videos) to reduce student dependency on AI. Earlier work includes context-aware distributed systems and anonymous feedback mechanisms in social networks. Scientific Awards: No awards listed in the provided text. He has advised students in programming education and software development, though specific names are not listed. He developed the Drop Project , an automatic assessment tool for programming assignments. While no grants are explicitly mentioned, his sustained research output suggests active project involvement. His work bridges academia and practical software tools, with applications in education and infrastructure monitoring. He is affiliated with COPELABS, a research lab focused on cognitive and people-centric computing, where he contributes to projects integrating AI, education, and mobile technologies. His future work appears to center on the evolving role of AI in software engineering and education, particularly in fostering responsible and effective human-AI collaboration.
Jorge Manuel Pereira Duque is an Adjunct Professor at ISLA – Instituto Politécnico de Gestão e Tecnologia in Vila Nova de Gaia and at Universidade Lusófona in Porto, where he contributes to the Department of Informatics. He holds a PhD in Informatics from UTAD and is currently engaged in a postdoctoral program focusing on Data Science and Machine Learning for intelligent organizational tools. Education: PhD in Informatics, UTAD (2018) Master in Information and Communication Technologies, UTAD (2009) Bachelor in Information Systems and Multimedia Management, ISLA (2007) Postdoctoral Research, UTAD (ongoing) His research is centered on Data Science, Business Analytics, and Information Systems Management, with a focus on applying Machine Learning and Data Mining to decision support in organizations, smart cities, and public administration. His work bridges technical innovation with practical applications in CRM, IoT, and knowledge management. He has published extensively in Springer, Elsevier, and Procedia Computer Science, often employing design science research methodologies. The most recent publications show a strong trend toward intelligent systems for urban environments (e.g., traffic event detection, smart cities), AI in education, and advanced data mining for business intelligence. His work integrates real-world data from social networks and municipal systems to build predictive and adaptive models. Scientific Recognition: Active participation in international conferences (AMCIS, CISTI, WorldCist) Organizer of the Workshop on Data Science and Analytics for Decision Support (iSCSi 2022) Contributor to ISI, Scopus, and EI-indexed publications ORCID: 0000-0003-4939-6176 He has advised academic panels and evaluated master’s theses, demonstrating academic leadership. While specific grants are not mentioned, his involvement in research centers and postdoctoral work suggests active research funding. He coordinates the Bachelor’s in Computer Science for E-Commerce and the Postgraduate program in Analytics and Business Data Science at ISLA, as well as leading a research line at the ISLA Research Center in V. N. de Gaia. Laboratories and Research Teams: Research Line Coordinator, ISLA Research Center, V. N. de Gaia Postdoctoral Researcher, UTAD – focused on intelligent data science tools Organizer and contributor to international research workshops
Dr Bruce Ryan is a Senior Research Fellow at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He specializes in information literacy, digital engagement, and hyperlocal governance within the Centre for Social Informatics. His work bridges academic research with real-world applications through collaborations with the AHRC, British Library, and CILIPS. AHRC-funded digitised archive engagement projects Royal Society of Edinburgh-funded RIVAL network Current CILIPS-funded research on school librarians' role in combating mis/disinformation His research focuses on: Information literacy in democratic engagement Digital challenges in community governance Audience engagement with multimedia archives Methodological approaches to cross-lingual research Recent publications examine: Information avoidance in diabetes management Workplace information literacy metrics Participatory budgeting in Brazil Audience responses to podcast vs. text archives Key grants include: £9,990 - CILIPS Research Fund £4,994 - AHRC Creative Informatics £20,000 - Royal Society of Edinburgh £3,160 - Communities and Culture Network+ He actively contributes to: European Conference on Information Literacy ASIST Global Conference i3 (Information: interactions and impact) CILIPS annual conferences
Marina Rauker Koch is a Professor of Professional Studies at the College of Rijeka. She specializes in the integration of technology in education, particularly focusing on multimedia systems, information systems in transport, and natural language processing. Her academic work emphasizes the application of the Node of Knowledge (NOK) method in various domains, including sentence modeling, query formalization, and educational technology. She is actively involved in teaching courses such as Electronic Business, Multimedia Systems, and Digital Design Basics, reflecting her expertise in both theoretical and applied aspects of computer science and information systems. Her research interests span a broad range of areas, including multimedia systems development, the transformation of natural language into database records using the NOK framework, and the integration of ESG standards with educational practices through digital tools. She also explores the use of Web 2.0 technologies in pedagogy, ensuring that educational content remains accessible and engaging. Her work in transportation logistics focuses on cost-benefit analyses and safety protocols for hazardous materials, demonstrating her interdisciplinary approach to solving real-world problems. Professor Rauker Koch has contributed to numerous courses at the College of Rijeka, including foundational subjects like Basics of Computer Science and advanced electives such as Modeling and Simulations. While her teaching and research activities are extensive, specific grants or student advisees are not detailed in the provided information.
Janko Žufić, M.Sc.ing, is a Senior Lecturer at the Faculty of Educational Sciences, University of Pula, Croatia. He holds degrees in Electrical Engineering with a major in Automation from the Faculty of Electrical Engineering and Computing (FER) in Zagreb (1993) and pedagogical competences acquired in 2001. A certified computer science professor since 2002, he has dedicated his career to bridging technology and education, with particular emphasis on e-learning systems and computer science education. Employment History: Private sector work (1993-1999), teaching roles in primary/secondary schools (1998-2002), head of IT support at Faculty of Educational Sciences (2002-present), Senior Lecturer since 2007, and part-time teacher at Algebra Group. Research Focus: E-learning optimization, microlearning, educational technology design, programming pedagogy for elementary grades, and human factors in computing. His scholarly work spans 20+ publications, with recent studies exploring ChatGPT's educational implications (2025), video-based microlearning (2024), and gamification in computer science education (2022). He has also contributed to understanding the role of color and typography in digital learning environments (2009-2019). Žufić's practical expertise includes developing Web 2.0 tools for educators (2017), creating three books, and mentoring students in producing approximately 50 films. As an active project manager, he has coordinated two EU-funded initiatives and over 80 smaller projects focused on social and technical sciences, supported by organizations ranging from Zagreb Bank to Croatian employment agencies and Istrian municipalities. His academic rank was last renewed on January 24, 2018, within the field of Information and Communication Sciences, specializing in Information Systems.
Prof. Dr.techn. Davide Ceneda is a researcher at TU Wien, affiliated with the Visual Analytics Research Group (E193-07). His work focuses on advancing guidance systems and methodologies within visual analytics, emphasizing user-centered design and mixed-initiative interactions. He holds a doctoral degree in guidance-enriched visual analytics (2020). Research Interests: Visual analytics, guidance design, human-computer interaction, temporal data visualization, and user-assisted systems. His recent studies explore trust models in AI-driven guidance, task-driven frameworks, and automated assistance mechanisms. Publications: Ceneda’s recent work includes papers on guidance-enhanced temporal networks (TimeLighting), dual evaluation methodologies, and the Lotse framework. His research highlights a consistent focus on improving user experience through structured guidance. Collaborations: Works closely with experts like Silvia Miksch and Alessio Arleo. Co-developed COVIs for pandemic data analysis and contributed to the Circle of Thrones radial infographic project. Awards: No specific awards mentioned, but publications reflect high-impact contributions to the field.
