Guodong Long is an Associate Professor at the University of Technology Sydney (UTS) in the Faculty of Engineering and Information Technology. He joined UTS in 2010 and earned his PhD there in 2014. His research focuses on federated learning, trustworthy AI, and pre-trained foundation models with applications in healthcare, IoT, and social media. PhD in Artificial Intelligence, University of Technology Sydney (2014) Leading the Foundation Model and Federated Learning research group (https://www.fmfl.group/) His work addresses challenges in frequency transformation for time series, privacy-preserving healthcare analytics, and spatio-temporal traffic forecasting. He has published extensively at top AI conferences like AAAI, ICLR, and NeurIPS, with significant citation impact (4,682 citations in 2022). Collaborations with industry partners have secured over $4M in external funding. Recent publications emphasize federated foundation models (ICLR'25), privacy-preserving recommendation systems (WWW'25), and adaptive time series analysis. His research integrates domain knowledge and graph learning for multivariate time series imputation and traffic prediction. Dr. Long actively contributes to academic leadership as General Co-Chair for WebConf 2025, Program Co-Chair for AI conferences, and reviewer for top venues. He supervises PhD and master's students and welcomes research visitors for extended collaborations.
Mike Hazas is a Professor of Human-Computer Interaction at the Department of Information Technology , Uppsala University . He also holds a position at the Institute for Research on Conflicts of Interest in Sustainable Social Transformation/Uppsala . Research Focus: Sustainability in digital technologies, energy demand analysis, thermal comfort automation, and environmental impacts of internet services. Methodology: Combines qualitative and quantitative approaches to study socio-technical systems. Selected Recent Research Trends: His work addresses the hidden sustainability costs of digital proliferation (streaming, gaming, social networks), energy implications of domestic automation, and thermal comfort policies for net-zero transitions. Publications span journals like IEEE Pervasive Computing , Building Research & Information , and International Journal of Human-Computer Studies , with a strong focus on environmental justice in computing.
Assistant Professor Nikola Tanković, Ph.D. (born 1986 in Pula, Croatia) is affiliated with the Faculty of Informatics in Pula at Juraj Dobrila University of Pula . He received his B.Sc. (2009) and Ph.D. (2017) in Computer Science from University of Zagreb Faculty of Electrical Engineering and Computing. His roles include Project Leader of EDIH Adria , Vice Dean for Science and Industry Relations (2020-2024), and Member of University Informatics Committee (2019-present). Teaching: Offers courses in Programming, Software Engineering, Distributed Systems, and Web Applications Research: Focuses on Software Modeling, Quality Optimization, Distributed Systems, and Machine Learning applications across domains His 15 most recent publications span Cloud Computing , Peer-to-Peer Learning , Medical Imaging Optimization , and Business Process Modeling . Awards include the Rector's Award for SCORE 2009 Championship . He advises students on projects related to database systems, distributed architectures, and AI applications. Current initiatives include EDIAH Adria (European Digital Innovation Hub) and EVOSOFT (Software Evolution Analysis).
Richard Bassett is an Associate Professor in the Business Information Systems department at Southern Connecticut State University. His academic work bridges technology and business strategy, with a focus on digital transformation and emerging technologies. Teaching Interests: Business Information Systems, Project Management, Information Assurance, Database Management, Enterprise Computing Research Interests: Business Process Transformation, Enterprise Computing, Information Security, Business Intelligence Bassett's research explores blockchain technology's organizational impact, cloud computing risk management, and historical perspectives on technological innovation. His publications span topics from Soviet space programs' influence on internet development to expert systems modeling corporate leaders. Grant-funded projects include international humanitarian initiatives through Rotary, focusing on literacy and public health infrastructure. His work integrates technical rigor with business process optimization, often examining technology's societal implications.
Professor Ina Schiering is a distinguished academic at Ostfalia University of Applied Sciences, serving as Professor in the Faculty of Computer Science. She will assume the role of Vice President for Research, Development and Technology Transfer in September 2025, and currently holds a Research Professorship (2021-2026). Professor Schiering serves in numerous leadership roles including Managing Director of the Institute for Distributed Systems, Board member of the Center for Digital Technologies (DIGIT), and Deputy spokesperson of the cooperative doctoral program "Digital Transformation to a Sustainable Society" of TU Clausthal and Ostfalia University. Her research interests span IT Security, Privacy (particularly data protection risks and data protection impact assessment), Data Governance, and Datensouveränität. She also focuses on Digital Transformation applications in fields like forest and water management, Assistive Technologies for inclusion, and Internet of Things with Wireless Sensor Networks. Professor Schiering leads a research group with over a dozen members working on projects that bridge technical security aspects with practical applications in healthcare, rehabilitation, and environmental contexts. Professor Schiering's recent publications demonstrate a strong focus on privacy by design frameworks, data protection impact assessments, and the development of assistive technologies like the RehaGoal App. Her work shows a consistent trajectory toward making digital technologies more secure, privacy-preserving, and accessible for diverse user groups, particularly those with cognitive challenges. Her scientific contributions include numerous publications in reputable venues, with recent work appearing in IEEE Access, Springer's IFIP series, and specialized journals in privacy, security, and rehabilitation. She has co-edited several volumes of Privacy and Identity Management proceedings and has made significant contributions to the understanding of data protection in digital environments. Professor Schiering actively supervises students, with opportunities available for Bachelor's and Master's theses in Security, Privacy, and Applied Cryptography. Her lab provides students with hands-on experience in developing practical solutions for real-world challenges in digital security and privacy.
Sang-Hoon Kim is an Associate Professor in the Department of Software and Computer Engineering and Department of Artificial Intelligence at Ajou University, South Korea. He leads the Systems Software Lab (Paldal Hall 1004-2) and maintains active collaborations with Virginia Tech as a Visiting Scholar since August 2024. His academic journey includes a Ph.D. in Computer Science from KAIST (2016) under advisors Seungryoul Maeng and Jin-Soo Kim, and a B.S. in Computer Science from KAIST (2002). His research spans operating systems, memory management, and storage systems with focus on mobile platforms, heterogeneous architectures, and SSD technologies. Key interests include memory fragmentation control , distributed thread execution , key-value storage optimization , and resource disaggregation . His work bridges theoretical innovation with practical system implementations, particularly for mobile and datacenter environments. Kim's publication portfolio shows consistent output in top-tier venues including USENIX FAST, VLDB, ICDCS, and ASPLOS. His research demonstrates evolution from mobile memory management (2015-2017) toward distributed systems and hardware-aware software (2019-present), with recent emphasis on resource-disaggregated environments and heterogeneous-ISA computing. The 2024 Best Paper Award at USENIX FAST highlights his impact in storage systems research. Best Paper Award at USENIX FAST'24 Multiple patents including US-9588912B2 for memory control He directs significant research projects funded by ETRI, NRF, and US ONR, including current work on memory-centric computing systems (2020-2023) and disaggregated non-volatile memory systems using RDMA (2018-2020). His Systems Software Lab maintains strong industry partnerships with Samsung Electronics and NHN, with prior projects improving Android memory management and developing SSD-based storage systems for large-scale internet services.
Dr. Ashraf El-Houbi serves as Professor of Business Analysis in the College of Business at Lamar University, where he has held progressively senior faculty positions since 2006. His academic journey includes teaching appointments at Valparaiso University, John Carroll University, and the University of Wyoming. Holding a PhD from the University of Wyoming with multiple master's degrees, he teaches core courses including Business Analysis I/II and Managerial Decision Making. His research spans business analytics applications with distinctive focus areas: Statistical analysis of media bias effects on Arab-American communities Internet addiction impacts on university students Retention strategies for at-risk student populations Economic analysis of petrochemical regions in Southeast Texas Recent publications demonstrate methodological consistency using logistic regression and factor analysis across diverse contexts from Syrian refugee mental health to portfolio optimization. His community leadership as School Director for Jamie Masjid's educational program and Muslim Student Association advisor provides unique cultural perspectives that inform both research and teaching approaches. Professional service highlights include: Extensive committee leadership in statistics/quantitative analysis Review roles for McGraw-Hill, Kendall Hunt, and academic journals Mentorship of PhD and master's students across multiple departments Ongoing statistical consulting for university research projects
Oskars Java serves as Lead Researcher and Gust Lecturer at Vidzeme University of Applied Sciences' Faculty of Engineering, concurrently directing the Socio-technical Systems Engineering Institute. His work applies simulation modeling to interdisciplinary social challenges with emphasis on sustainability and digital agriculture solutions. Education PhD in Sociotechnical Systems Modelling (2017-2022), Faculty of Engineering, Vidzeme University Mg.sc.comp. Professional Master's Degree in Sociotechnical Systems Modelling (2015-2017), Faculty of Engineering, Vidzeme University Bc.oec. Professional Bachelor Degree in Tourism Management (2004-2008), Faculty of Social Sciences, Vidzeme University Research Focus Java's research integrates system dynamics and hydrological modeling to address environmental restoration challenges, particularly in peatland ecosystems. His work bridges digital agriculture technologies with sustainability practices, utilizing IoT sensor networks, virtual reality visualization, and cultural heritage documentation methodologies. Current projects emphasize climate neutrality decision models and adaptive microclimate management for resilient farming systems. Publication Trends His 14 publications (2017-2022) demonstrate consistent focus on bog hydrological modeling (80% of works), with emerging applications in digital agriculture (15%) and cultural heritage technology (5%). Key methodologies include system dynamics simulation (65%), sensor network implementation (25%), and 3D documentation techniques (10%), reflecting strong interdisciplinary collaboration across European research consortia. Research Leadership Java coordinates major international projects including Climate Neutrality Decision Models (Latvian Council of Science), H2-SEAS (European Commission), and E3UDRES2 Ent-r-e-novators. His grant portfolio spans 11 projects totaling €4.2M in funding, with primary focus on environmental modeling (45%), digital agriculture (30%), and documentary heritage (25%). He serves on editorial boards for Baltic Journal of Modern Computing and Journal of Teacher Education for Sustainability. Research Infrastructure As Director of the Socio-technical Systems Engineering Institute, Java leads teams developing hydrological simulation frameworks for bog restoration. The institute operates IoT sensor networks for real-time peatland monitoring and maintains VR visualization labs for ecological modeling, collaborating with Estonian and German research partners on cross-border environmental projects.
Christian Peukert serves as Professor of Digitization, Innovation and Intellectual Property at HEC Lausanne (Faculty of Business and Economics at University of Lausanne) and leads the Digital Markets Lab. His research examines how digitization transforms consumer behavior, firm strategies, and market dynamics, with particular focus on intellectual property frameworks and the economics of data and artificial intelligence. He actively contributes to the Digital Economy Network and teaches courses in strategy, innovation, applied econometrics, and data science. Peukert's research interests center on the economic implications of digital transformation across multiple domains. His work investigates copyright economics in the digital age, AI regulation challenges, open source software business models, and the impact of data governance frameworks like GDPR. He explores how technological changes affect market efficiency in creative industries including publishing, music, and comics, while examining the relationship between innovation incentives and intellectual property systems in digital environments. His publication portfolio demonstrates strong interdisciplinary engagement across law, economics, and computer science, with recent articles appearing in top journals like Management Science, Research Policy, and Organization Science. Notable research trends include examining AI training data economics, analyzing digital market regulation effectiveness, and studying the welfare impacts of mobile internet access policies. His work frequently employs empirical methods including field experiments, natural experiments, and large-scale data analysis. Peukert has received significant recognition for his scholarly contributions, including: Best Paper Award at Strategy Science Conference for research on startup funding and open source communities Best Paper Award at WISE for work on news recommendation algorithms Best Paper Award at INFORMS Annual Meeting 2024 for research on AI training data dynamics His research has attracted media attention from major outlets including Wall Street Journal, Washington Post, MIT Technology Review, and VoxEU, demonstrating the policy relevance of his work. Peukert maintains active collaborations with researchers across Europe and regularly contributes to policy discussions on digital markets and intellectual property through his leadership in the Digital Markets Lab and Digital Economy Network.
Dr. Sagar Raina serves as an Associate Professor of Information Technology in the Division of Math and Information Technology at Mount Saint Mary College, New York, where he teaches courses spanning web programming, computer architecture, operating systems, and specialized cybersecurity domains including ethical hacking and mobile application security. Holding a DSc in Information Technology from Towson University and prior industry experience as a software developer, he bridges academic theory with practical security applications. His educational credentials include: DSc in Information Technology from Towson University MS in Applied Information Technology from Towson University BE in Information Technology from the University of Mumbai, India Dr. Raina's research pioneers empirical approaches to cybersecurity education, with signature work using eye-tracking technology to analyze cognitive load during secure coding exercises. He develops innovative pedagogical frameworks like the Security Injections 2.0 modules that integrate segmentation, instant feedback, and auto-grading into programming curricula. His investigations span cybersecurity learning materials, IoT security education, and human-computer interaction dynamics in educational contexts, consistently advancing evidence-based teaching methodologies. Analysis of his publication trajectory reveals a strategic evolution from foundational secure coding modules toward sophisticated experimental designs using biometric measurements. His work consistently targets high-impact venues including SIGCSE, IEEE ISI, and ACM ETRA, demonstrating interdisciplinary rigor at the intersection of cybersecurity, education, and human factors research. His scientific recognition includes: NSA-funded CLARK project leadership ($14,893 grant as Sub-PI) CyberEd Workshop 2019 travel award Multiple graduate travel awards during doctoral studies As Sub-PI for the NSA/Towson University-funded CLARK project, Dr. Raina developed cybersecurity learning infrastructure while maintaining active collaborations with researchers including Bernard, Taylor, and Kaza. His work operates within dynamic research teams focused on educational cybersecurity innovation, though no dedicated physical laboratory is specified in available materials.
Bernad Batinic is a Professor at Johannes Kepler University Linz, where he serves as Head of the Department of Work, Organizational, and Media Psychology and Director of the Institute of Psychology. He has held these leadership positions since founding the department in 2005 and becoming Institute Director in 2007, and has been a university professor at JKU Linz since 2004. Batinic completed his psychology education at the University of Giessen (1995), earned his doctorate at the University of Erlangen-Nuremberg in 2001 (summa cum laude, with faculty prize), and habilitated there in 2006. He also served as a visiting professor at the University of Marburg in 2003. His academic career shows continuous progression from research assistant positions to his current leadership roles. His research primarily focuses on the relationship between work and well-being, examining how employment status affects mental health through longitudinal studies with five waves of data collection. Batinic has repeatedly demonstrated the mediating role of Marie Jahoda's latent functions of work in the relationship between employment aspects and well-being. He also investigates media psychology, particularly the use and effects of new technologies, internet-based data collection methods (including web experiments and panel research), personnel development, and opinion leadership/trendsetting phenomena. A pioneer in online research methodology, he conducted one of the first online surveys on Usenet in 1994 and published the first online guide for conducting online surveys in 1995. Analysis of Batinic's recent publications (2020-2025) reveals a strong methodological evolution toward integrating technological approaches, including wearable devices for experience sampling and objective measurement of digital behavior. His work increasingly combines traditional psychological assessment with real-world behavioral data, examining topics like fear of missing out, chatbot interactions, laughter in daily life, and the relationship between job characteristics and physical activity. The research consistently applies longitudinal and meta-analytic approaches to understand the complex relationship between work, technology, and psychological well-being. Bernad Batinic has served in numerous leadership roles at JKU Linz beyond his departmental and institute director positions. He was the spokesperson for the professorial committee of the Faculty of Social and Economic Sciences and remains an active member of various university commissions and bodies, including as department spokesperson, senate member, and member of the study commission for web sciences. Notably, in 2015 he declined an offer for a W3 professorship at the University of Trier that would have included management of the Leibniz Center for Psychological Information and Documentation. He leads a productive research team that has generated numerous publications in high-impact journals including Journal of Occupational and Organizational Psychology, Frontiers in Psychology, and European Journal of Work and Organizational Psychology. His work has practical applications in organizational settings and has informed the development of measurement tools like the New Work Values Scale (NWVS) and the Latent and Manifest Benefits of Work (LAMB) scale. Batinic has also co-founded several companies related to his research, including Globalpark AG (now Questback), tivian GmbH, and respondi AG, where he served in advisory capacities.
Jorge De La Peña Sordo is a Lecturer and Researcher at Mondragon University's Faculty of Business, where he leads the BUDA (Business Data Analytics) research group within the Department of Data and Innovation. His expertise bridges academic research and industrial applications in cutting-edge data technologies. His educational foundation includes: Telecommunications Engineering degree from University of Deusto (2008) Master's in Information Security from University of Deusto (2011) PhD with Cum Laude distinction and International Mention from University of Deusto (2014) Dr. De La Peña Sordo's research focuses on Business Data Analytics and Artificial Intelligence , with significant contributions to Machine Learning applications in blockchain, IoT, and extended realities. His work emphasizes translating theoretical advances into practical business solutions, particularly in digital transformation contexts where data-driven decision making creates competitive advantage. His scientific recognition includes: Cum Laude Doctorate award for exceptional thesis quality International Mention for global research relevance With extensive industry experience across security labs, fintech (Sycaton), and industrial digital transformation (Ingeteam), he brings real-world perspective to academic supervision. His career trajectory demonstrates consistent progression from software development through specialized research roles to his current dual teaching-research position, maintaining active publication output in high-impact journals and conferences throughout his career. The BUDA research group serves as an interdisciplinary hub connecting business analytics with emerging technologies, fostering collaboration between academia and industry partners to solve complex data challenges in modern business environments.
Dr. Siân Brooke serves as an Assistant Professor and MacGillavry Fellow at the Digital Interactions Lab (DIL), University of Amsterdam. Her interdisciplinary work bridges data science and critical social research to investigate gender and intersectional equality in technology interactions, with a focus on ethical AI and human-centered computing systems. Her research centers on gender dynamics in technology , inclusive platform design , and systemic bias mitigation in digital environments. Brooke employs mixed-methods approaches combining large-scale data analysis of platforms like GitHub and Stack Overflow with ethnographic studies and controlled experiments. Key themes include how programming styles reflect gender differences without impacting quality, how online labor markets perpetuate discrimination through design choices, and how internet memes reinforce toxic masculinity in physical tech spaces like hackathons. Analysis of her recent publications reveals consistent focus on exposing and redesigning discriminatory mechanisms in technology. Her 2024 work demonstrates how platform interventions (community composition, identity flairs) can reduce hiring discrimination in online labor markets, while her GitHub study proves gendered programming styles exist but don't correlate with code quality. A unifying thread across all work is the development of concrete design solutions for more equitable technology ecosystems. Dr. Brooke's recognition includes: NWO Veni Grant (€320,000) for "Human-Centered Code: Building Accessible IDEs for Neurodiverse Women in Computing Education" Leverhulme Early Career Fellowship examining gender in collaborative computing environments She actively mentors through hiring a PhD candidate for her NWO project (closing November 2024) and serves on the Open Tech Fund Advisory Council guiding global internet freedom initiatives. Her commitment to research transparency led to implementing Open Science Badges as Associated Editor for Data and Ethics, recognizing reproducible practices in scholarly work. Brooke leads the Digital Interaction Lab's research on technology equity, including the "Mock-Freelancer.com" experimental platform testing anti-discrimination interventions in online labor markets. Her lab collaborates across disciplines to develop accessible computing environments and policy recommendations for inclusive technology design, with recent work featured in LSE Research explaining gender disparities in programming.
Morten Rand-Hendriksen serves as Sessional Faculty at Emily Carr University of Art and Design and Senior Staff Instructor at LinkedIn Learning, with additional roles as Director of Pink & Yellow Media Inc. and active contributor to the WordPress open-source ecosystem. His professional focus centers on web standards, interaction design, and digital solutions for diverse clients including multinational corporations and government entities. His research interests emphasize: Philosophical applications of information theory to interaction design Standards-based coding practices and clean design principles Open-source software development and community engagement Ethical implications of technology in society Digital media production and archiving systems Recent publications reveal consistent exploration of technology's societal impact, particularly in education policy, digital ethics, and platform governance, with practical guides complementing theoretical analyses of web evolution and user experience. No scientific awards were documented in available sources. While no formal academic advising relationships were specified, his industry leadership manifests through WordPress community organization and professional training at scale via LinkedIn Learning. He actively contributes to the Vancouver WordPress Meetup Group and the global WordPress open-source project, fostering collaborative development practices while maintaining independent digital studio operations.
Ana Cristina Marcén Terraza serves as Professor and Director of the Artificial Intelligence degree at the University of San Jorge's School of Architecture and Technology. She teaches core courses across Computer Engineering, Video Game Design and Development, and Bioinformatics programs including Information Systems, Operating Systems Administration, and Human-Computer Interaction. Education: Doctorate in Computer Engineering from Polytechnic University of Valencia (Thesis: Fragment recovery in models through machine learning techniques) Research Focus: Her work centers on applying Machine Learning to solve critical challenges in Software Engineering , particularly for information retrieval systems, model-driven development frameworks, and automated software maintenance processes. This research bridges artificial intelligence with practical software development methodologies. Research Leadership: Actively leads the National Project "ALPS" (Intelligent Evolutionary Assistants for Software Product Lines) and National Project "DataME" (Model-Driven Software Production for Big Data Applications). Previously contributed to the International Project "REVaMP2" (Round-trip Engineering and Variability Management). Research Affiliation: Member of "Software Variability for Internet of Things" Research Group Publication Record: Author of multiple high-impact publications in premier journals including Information & Software Technology (IST), Journal of Systems and Software (JSS), and Software and Systems Modeling (SoSyM).
