Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.
Kevin Pan is an Associate Professor of Quantitative Analysis at Samford University’s Brock School of Business, where he teaches and researches at the intersection of business analytics, finance, accounting, management, healthcare, education, and Christian faith integration. Education Ph.D. in Biomedical Informatics, Stanford University M.S. in Electrical Engineering, Stanford University B.S. in Electrical Engineering (minor Mathematics), National Taiwan University Research Interests Dr. Pan’s work centers on leveraging data analytics to solve real-world problems in business and society. He explores financial fraud detection, corporate social responsibility, healthcare quality, and the ethical implications of data-driven decision making. A distinctive thread in his scholarship is the integration of Christian worldview with business analytics education and practice. Publication Trends His recent articles (2017-2023) reveal a dual focus: methodological contributions in data visualization and analytics education, and applied studies addressing opioid prescribing, hospital fraud, congregational fraud, and pandemic ethics. The work spans accounting, finance, healthcare, pharmacy, and business ethics journals. Service & Outreach He actively volunteers with Hope Heals , a Christian disability ministry founded by Samford alumni, and participates in local church activities in Birmingham, Alabama.
Dr. Silvia Bonomi serves as an Associate Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where she has held academic positions since 2006. Her career progression includes Research Fellow (2010-2011), Tenure Track Assistant Professor (2016-2019), and current Associate Professor appointment since 2019. She maintains her office in Room B114 and is actively engaged in research and teaching within the university's engineering faculty. Her educational background includes: PhD in Computer Engineering, Sapienza University of Rome and Institut de Formation Supérieure en Informatique et Communication (IFSIC/IRISA), Rennes, France (completed under advisors Prof. Roberto Baldoni and Prof. Michel Raynal) Dr. Bonomi's research critically examines dynamic distributed systems where entities autonomously join and leave networks, with applications spanning VANETs, airborne networks, social networks, and distributed cloud services. She pioneers work in Byzantine fault tolerance for mobile environments, blockchain security with emphasis on smart contract vulnerability analysis, and resilient cybersecurity frameworks integrating human factors. Her investigations into publish-subscribe systems focus on quality-of-service enhancements, while her peer-to-peer systems research addresses fundamental connectivity challenges in large-scale decentralized environments. This interdisciplinary approach bridges theoretical distributed computing with practical cybersecurity applications. Analysis of her 15 most recent publications (2021-2024) reveals dominant trends in blockchain security (particularly smart contract vulnerability taxonomies and analysis tool efficacy) and fault-tolerant distributed systems (reliable communication under Byzantine faults in dynamic networks). Her work increasingly integrates human factors into cybersecurity models and develops visual analytics for business-centric risk assessment. Publications span top venues including IEEE CSR, OPODIS, SAFECOMP, and journals like Computers & Security, demonstrating consistent contributions to both theoretical foundations and practical cybersecurity implementations.
Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.
Darko Etinger is an Associate Professor and currently serves as the Dean of the Faculty of Informatics at Juraj Dobrila University of Pula in Croatia. His academic career spans over two decades with significant contributions to the fields of information systems, educational technology, and artificial intelligence. He teaches undergraduate courses including Artificial Intelligence, Business Information Systems, Business Process Management, ICT Fundamentals, Information Systems, Introduction to Artificial Intelligence, and Multimedia Systems. At the graduate level, he teaches Development of IT Solutions, IT Management, Modelling and Simulation, and Project Management. He also supervises doctoral research in Management of Information Technologies in Education. Dr. Etinger's research interests span several key areas in computer science and education technology. He has made significant contributions to understanding how information and communication technologies can support children with special educational needs, as evidenced by his 2024 and 2025 books on the topic. His work also focuses on business process management, educational data mining, and the application of artificial intelligence in educational contexts. His 2024 book 'Introduction to R and RStudio' demonstrates his commitment to data science education. Analysis of his recent publications shows a strong focus on practical applications of technology in education and business. His work spans educational robotics, learning management systems analysis, business process modeling, and the application of large language models in healthcare. He has a particular interest in how technology can be made accessible and beneficial for diverse learner populations, including those with special needs. His research often takes a human-centered approach, examining not just the technology itself but how it's adopted and used by end users. His 2025 bibliometric analysis of metaverse security demonstrates his ability to tackle emerging technological challenges. Associate Professor at Faculty of Informatics, Juraj Dobrila University of Pula Current Dean of Faculty of Informatics Author of multiple publications on educational technology and information systems Supervisor for numerous graduate theses on educational technology topics Active participant in EDIH Adria project as evidenced by 2025 publications Researcher in educational robotics implementation in Croatian schools Dr. Etinger has advised numerous students completing their theses, with a focus on educational technology applications. His research has been published in various international conferences and journals including IEEE Engineering Management Review, Procedia Computer Science, and System Dynamics Review. His current research appears to be heavily focused on the EDIH Adria project, which is a European Digital Innovation Hub initiative focusing on technology transfer and business innovation. He maintains an active research program with publications spanning from 2003 to the present, demonstrating sustained scholarly contribution to his fields of expertise.
Dr. Maneka Malalgoda is an Assistant Professor in the Department of Food and Human Nutritional Sciences at the University of Manitoba's Faculty of Agricultural and Food Sciences. Her research focuses on grain chemistry, processing quality, and the development of healthy grain-based food systems. PhD in Cereal Science, North Dakota State University MSc in Cereal Science, North Dakota State University BSc in Medical & Pharmaceutical Biotechnology, University of Applied Sciences, Austria Dr. Malalgoda's research investigates the physicochemical properties of grain proteins and starches, their functionality in food processing, and the biological activity of grain biomacromolecules. She explores how these components contribute to nutritional value, safety, and structural integrity in bakery applications. Her recent publications highlight advancements in protein-enriched wholegrain bread, ancient grain processing optimization, oat protein health benefits, and pesticide residue impacts on cereal chemistry. Key trends include the use of analytical techniques (HPLC, LC-MS) and the intersection of traditional grains with modern nutritional needs. Dr. Malalgoda teaches courses in food science, including FOOD 4100: Current Issues in Food and Human Nutrition , FOOD 3220: Grains for Food and Beverage , and FOOD 3200: Bakery Science and Technology . She supervises graduate research at the University of Manitoba's Ellis Building facility.
Erich Schweighofer serves as Associate Professor at the University of Vienna within the Institute for European, International and Comparative Law, specifically affiliated with the Department of International Law and International Relations. His research activities are centered at the Juridicum building (Schottenbastei 10-16, 1010 Vienna), where he maintains an active office presence with scheduled consultation hours. His scholarly focus spans Legal Informatics , Artificial Intelligence and Law , Data Protection , and Legal Knowledge Representation , with particular emphasis on explainable AI systems for legal contexts and formal methodologies for translating legal norms into computational frameworks. This interdisciplinary work bridges jurisprudence and computer science through projects examining biometric regulation, autonomous vehicle governance, and natural language processing applications in legal domains. Analysis of his 2021-2024 publications reveals consistent thematic progression toward operationalizing legal principles in AI systems, with increasing focus on transparency mechanisms, temporal logic for dynamic regulations, and cross-jurisdictional compliance challenges. His work predominantly appears in the International Legal Informatics Symposium (IRIS) proceedings and JURIX conferences, reflecting deep engagement with the legal informatics community. Professor Schweighofer leads a dedicated research team including project assistants Mag. Jessica Fleisch, Mag. Jonas Pfister, Felix Schmautzer, and Mag. Jakob Zanol, while actively participating in the University of Vienna's Working Group on Legal Informatics (Arbeitsgruppe Rechtsinformatik). His collaborative approach extends to organizing the biennial IRIS symposium, which has established itself as a cornerstone event for European legal informatics scholarship since 1998.
Dr. Alessandro Inversini is an Associate Professor at the EHL Hospitality Business School, part of HES-SO University of Applied Sciences Western Switzerland. His primary role involves teaching and researching in the Department of Global Hospitality Business, focusing on marketing, digital transformation, and sustainability within the hospitality and tourism sectors. Educational Background: No explicit educational details provided in the text. Research Interests: Explores the transformative impact of emerging technologies (e.g., AI, ChatGPT) on hospitality operations and customer experience. Advocates for regenerative and net-positive approaches to sustainability in the hospitality industry. Investigates CSR communication strategies on social media and cross-cultural dynamics in tourism reviews. Analyzes digital media’s role in B2B relationships and customer-centric frameworks. Article Trends: Recent works emphasize AI-driven changes in tourism, ethical digital transformation, and CSR practices. Key themes include regenerative hospitality, cultural review differences, and leveraging social media for transformative learning. Awards: No scientific awards explicitly listed. Advising & Grants: Guided research on regenerative hospitality in Lebanon and transformative homestay experiences in Malaysia. Contributed to international conferences like ENTER2016 and EuroCHRIE 2024. Labs/Teams: Collaborates with interdisciplinary teams on projects involving digital tools for rural development and ethical technology integration in hospitality.
Pedro Dionísio is a Full Professor and Director of the Post-Graduation in Management and Marketing of Sports at ISCTE - Instituto Universitário de Lisboa. He teaches Sports Marketing and oversees the Management and Marketing of Sports program. With a PhD from HEC Paris, his expertise spans sports marketing, fan behavior, and digital marketing strategies. He has authored 14 books, including the bestseller 'Mercator,' and his research explores topics like sports event management, sponsorship effectiveness, and consumer-generated content. Education: PhD in Management from HEC Paris. His research interests focus on the intersection of sports and marketing, including fan tribal behavior, sponsorship impact, and digital marketing trends. Notable works analyze the role of social media, volunteerism in nonprofits, and the economic impact of large-scale sports events. His recent publications address challenges in e-commerce loyalty systems and the evolution of marketing practices in the digital age. Dr. Dionísio contributes to the Marketing Futurecast Lab, exploring future marketing trends, and has conducted studies on piracy in academic publishing and donation drivers in religious vs. secular contexts. His work bridges theoretical marketing principles with real-world applications in sports, tourism, and consumer behavior.
Päivi Häkkinen is a **Professor and Vice Director** at the **Finnish Institute for Educational Research (FIER)**, part of the University of Jyväskylä. Her research focuses on technology-enhanced learning, particularly in collaborative problem-solving, computer-supported collaborative learning (CSCL), and the integration of virtual/augmented reality in education. She leads projects like the EDUCA Flagship for future education and LearnDigi , exploring digitalization in learning. Research Interests: She investigates ICT integration in education, learning analytics, and the cognitive and social dynamics of collaborative learning. Her work emphasizes remote collaboration mechanisms, digital tools for assessment, and AI-driven educational innovation. Key Projects: EDUCA Flagship: Addresses future education challenges through interdisciplinary research. LearnDigi: Examines technology’s role in knowledge construction and digitalization impacts. METEOR: Enhances transversal skills for early career researchers via teamwork methodologies. Recent Work Trends: Her publications analyze joint attention in remote collaboration, AI-human partnerships in education, and neural bases of problem-solving. She emphasizes practical applications for teachers and educators. Labs/Teams: Active in FIER and LearnDigi, focusing on collaborative learning design and technology evaluation.
Vahid Shahrezaei is a Professor of Biomathematics at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). He holds affiliations with the Biomathematics Group, Centre for Synthetic Biology, and Mathematics in Medicine. His research focuses on Computational Molecular Systems Biology, studying cellular robustness under stochasticity and environmental noise using computational and analytical methods. Notable contributions include methods for single-cell RNA-sequencing analysis and simulation-based inference of biochemical networks. Education: PhD in Physics from Simon Fraser University (Canada), BSc/MSc in Physics from Sharif University (Iran). Career highlights include a sabbatical at the Crick Institute (2023-2024) and roles such as Diversity Champion for the Faculty of Natural Sciences. Awards include the Imperial College President Medal for Research Supervision (2017). He has led interdisciplinary grants, including a Leverhulme-funded study on noise in gene expression with Samuel Marguerat. Research Interests: Stochastic modeling, gene expression dynamics, systems biology applications Key Projects: Development of bayNorm for single-cell data normalization, studies on mycobacterial cell size control Professional Roles: BBSRC expert panel member, co-organizer of systems biology conferences His lab integrates mathematical modeling with experimental data, addressing questions in developmental biology, cancer metabolism, and microbial systems. Recent work includes agent-based modeling of environmental policy adoption and novel visualization techniques for multi-omics data.
Hari Subramonyam is an Assistant Professor (Research) at Stanford University's Graduate School of Education with a courtesy appointment in Computer Science. He serves as the Ram and Vijay Shriram Faculty Fellow at Stanford's Institute for Human-Centered AI (HAI) and is a core faculty member of Stanford HCI. Subramonyam earned his PhD in Information from the University of Michigan under advisor Eytan Adar. His research focuses on the intersection of Human-Computer Interaction (HCI) and Learning Sciences, specifically developing AI systems to augment human learning through cognitively informed design, co-design with educators, and transformative learning experiences. His work prioritizes ethical AI, responsible design practices, and human values in technology creation. Research spans generative AI for education, human-AI interaction paradigms, and accessible learning technologies. Subramonyam's publications demonstrate strong focus on human-centered AI systems for education, visualization, and creative applications. His recent work (2023-2025) concentrates on generative AI interfaces for writing assistance, educational tools, and collaborative systems, while maintaining consistent exploration of visualization techniques and AI transparency frameworks. Awards & Honors: Best Paper Award at CHI (2025, 2020, 2019) Honorable Mention Award at CHI (2025) Best Paper Award at IUI (2021) Ram and Vijay Shriram Faculty Fellow HAI Hoffman Yee Grant (2024) Cover Story in Interactions Magazine (2024) Advising & Grants: Leads 27 students including PhD advisee Neha Rajagopalan (co-advised) and diverse MS/BS researchers. Received HAI Hoffman Yee Grant (2024) for "Integrating Intelligence: Building Shared Conceptual Grounding for Interacting with Generative AI" as co-investigator. Teaches courses on data visualization (CS 448B) and educational technology design (EDUC 432). Labs & Leadership: Core faculty at Stanford HCI group, directing research on human-centered AI systems. Organizes workshops including "Tools for Thought" (CHI 2025) and "Human–AI Coevolution" (ICLR 2025). Maintains collaborations with National University of Singapore and University of Michigan.
Roberto Rojas-Cessa is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT), affiliated with the School of Applied Engineering and Technology. His research focuses on networking, blockchain applications in smart cities, energy systems, wireless communications, and high-performance switching. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on controlled delivery power grids and next-generation network quality of service. Notably, his work explores blockchain for energy metering, sustainable environmental measures, and smart grid optimization. He is also a Senior Member of the National Academy of Inventors (2024). His research interests span network protocols, distributed systems, and IoT applications. Recent projects include AMI-Chain (a blockchain-based power metering system) and studies on indirect free-space optical communications for vehicular networks. He has contributed to advancements in medium access control for crowded networks and energy packet switches for digital microgrids. Rojas-Cessa’s work integrates machine learning for network management and flood impact analysis. He has developed tools for time-lapse analysis of urban data and agent-based models to evaluate electric vehicle adoption. His publications emphasize scalability, security, and efficiency in both traditional and emerging technologies. Grants: Collaborative Research on Power Grids (NSF, 2016–2018), NeTS-NR: Quality of Service Networks (NSF, 2004–2008) Awards: Senior Member of the National Academy of Inventors (2024) His lab activities include experimental evaluations of digital microgrids and blockchain implementations for carbon footprint tracking. He actively collaborates on projects addressing emergency communications and resilient energy distribution systems.
Albert Yoon is a Professor and holds the Michael J. Trebilcock Chair in Law and Economics at the University of Toronto Faculty of Law. He previously served as Associate Dean (Research & Curriculum) from 2018–2020 and has held academic positions at Northwestern University. His research focuses on labor markets in legal professions, legal ethics, and applications of AI to law. He co-founded Blue J, an AI startup aiding tax and legal professionals. Education: BA from Yale, JD and PhD (Political Science) from Stanford. Professional experience includes clerkship at the U.S. Court of Appeals for the Sixth Circuit. Fellowships include the Pierre Elliott Trudeau Fellowship (2022), Princeton University, and Robert Wood Johnson Foundation. Research interests span legal economics, judicial behavior, and technology's impact on law. Notable awards include the Ronald H. Coase Prize and American Law Institute membership. His work bridges empirical legal studies and computational methods, addressing topics like Supreme Court clerkships, AI-driven legal predictions, and tax law analytics. Publications include over 47 scholarly articles in top journals like Chicago Law Review , Stanford Law Review , and Journal of Law & Economics . Recent work examines AI in legal practice, gender disparities in M&A legal teams, and judicial decision-making dynamics.
Dr. Xiangchun (Schwann) Xuan is a Professor in the Department of Mechanical Engineering at Clemson University. He joined in December 2006 and specializes in thermal/fluid sciences with a focus on microfluidic devices and Lab-on-a-chip technology. His research explores electrokinetic phenomena, viscoelastic fluid dynamics, and particle manipulation in micro/nano-scale systems. Education: Ph.D., University of Toronto, 2006 DENG, Shanghai Institute of Technical Physics, 2000 B.S., University of Science and Technology of China, 1995 Research Interests: Dr. Xuan's work centers on micro- and nano-fluidics, including electroosmotic flow, dielectrophoresis, and the effects of viscoelasticity on particle behavior. He investigates applications in lab-on-a-chip devices, separation techniques, and fluid rheology in confined geometries. Publications: His recent work emphasizes nonlinear electrokinetic flows, shear-thinning fluid dynamics, and particle focusing in non-Newtonian systems. Key topics include electroosmotic instabilities, dielectrophoretic separation, and the interplay between fluid elasticity and microscale transport. Awards & Grants: No specific awards are listed, but his contributions are reflected in his extensive publication record and academic roles. He is a member of ASME, APS, and AES. Labs/Teams: His research is conducted within Clemson’s Mechanical Engineering facilities, focusing on experimental and analytical studies of microfluidic systems and electrokinetic phenomena.
