Wojciech Thomas is a Lecturer at the Department of Applied Informatics, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He teaches courses including Technologies Supporting Software Development (DevOps) , Cloud Computing , and Script Languages . Since 2016, he has directed the postgraduate program Computer Network Administration , designed for professionals seeking advanced knowledge in network/server management. His research focuses on DevOps, cloud technologies (AWS/Azure), automation of complex IT environments, web applications, and software engineering. He has published on topics ranging from task scheduling algorithms to trends in software engineering education. His publications (2000–2021) reflect interdisciplinary work in computer science, operations research, and educational methodology. Common themes include optimization algorithms, cloud infrastructure, and academic curriculum development.
Sergio Sayago is a Lecturer in Human-Computer Interaction within the Polytechnic School of the Universitat de Lleida (Spain), based at the Campus Universitari Igualada-UdL . With a PhD in Computer Science and HCI from Universitat Pompeu Fabra (2009, cum laude), he has held research and teaching roles at institutions including the University of Dundee, UC3M, and Universitat de Barcelona. Research Interests : HCI and ageing populations Age-inclusive interface design Gender-inclusive digital solutions Ethnographic and participant observational methods Cultural contexts in technology Digital empowerment of vulnerable groups Article Trends : Recent work focuses on age-inclusive design (conversational AI, generative tools), gender-inclusive platforms (Colombian employment portals), and cultural frameworks in HCI . His studies span qualitative analyses of older adults' technology use, accessibility heuristics for cognitive diversity, and sociotechnical challenges in ethical research. Academic Leadership : He serves as Associate Editor for Interacting with Computers and the International Journal of Human-Computer Studies , and is a CHI program committee member . He has coordinated the Bachelor’s in Computer Engineering at Igualada and organized Spain’s 1st Summer School for PhD Students in HCI .
Luciano Lavagno is a prominent academic in computer science and engineering, specializing in asynchronous circuit design, logic synthesis, and embedded systems. He has collaborated extensively with researchers like Alberto Sangiovanni-Vincentelli, Joaquim Cortadella, and Alex Yakovlev. Key contributions: Hazard-free asynchronous circuits, STG manipulation, FPGA synthesis frameworks Research focus: Formal verification, design methodologies, hardware-software co-design His publications from 1991–2025 demonstrate sustained innovation in asynchronous control logic, embedded system validation, and machine learning hardware acceleration. Notable works include SIS (sequential synthesis) and Petrify (asynchronous controller tool). While his 2018 DiracDeltaNet work extended into neural network optimization, his core expertise remains rooted in formal methods for circuit design.
Prof. Danielle Zandee is a Professor of Sustainable Organizational Development at Nyenrode Business University, affiliated with the Faculty Research Center for Strategy, Organization & Leadership. She focuses on enabling sustainable enterprise through action research and appreciative inquiry approaches, blending organizational development with innovative collaborative practices. Her work emphasizes dialogic methods, generative processes, and systemic change, often involving executive education and cross-sector collaborations. Zandee holds a Ph.D. in Organizational Behavior from Case Western Reserve University, where she collaborated with David Cooperrider on Appreciative Inquiry initiatives. Her research explores how organizations can nurture creativity and resilience through transformative discourses, theatrical metaphors, and generative inquiry. She advises PhD students in action research projects and has facilitated organizational change globally for firms like Shell, IBM, and Vitens. Her scholarship bridges theory and practice, addressing topics like institutional transformation, collective learning, and sustainable leadership. Recent work highlights actionable strategies for grand challenges, boundary-crossing collaboration, and scaling social innovations. She serves on advisory boards for Ashridge/Hult University and the Rechtbank Gelderland, reflecting her commitment to applying academic insights for societal benefit. Zandee’s publications showcase a focus on actionable, generative research methodologies. Key themes include appreciative inquiry’s philosophical foundations, the role of dialogue in organizational change, and institutional complexity navigation. Her articles frequently integrate artistic metaphors (e.g., theatrical rehearsal) to reimagine organizational design, emphasizing creativity and systemic playfulness in achieving sustainability.
Jocelyn Holland is a Professor of Comparative Literature at the California Institute of Technology (Caltech). Her scholarly work bridges literary, philosophical, and scientific discourses in 18th- and 19th-century European contexts, with a particular focus on German Romanticism and the history of science and technology. Education: B.A., Harvard-Radcliffe College, 1995; M.A., Johns Hopkins University, 1998; Ph.D., Johns Hopkins University, 2003. Research Interests revolve around intersections between Romantic literature and scientific thought, examining topics such as: Procreation and generation in Romantic science Mechanical models of cognition (e.g., levers, equilibrium) Naturphilosophie and speculative physics Temporal theories from Galileo to atomic clocks Observation and neutrality in scientific practice Metaphors of technology in literature Recent Publications include her 2025 monograph Theory's Practice: Reflections on Technology in Germany around 1800 and co-edited projects on anomalies, equilibrium, and Romantic science. Her entry on 'Maß (Measure)' explores ethical and aesthetic dimensions in Goethe's work. Awards and Grants highlight her interdisciplinary impact: NEH Grant (with Wolf Kittler) for 'Keeping Time: Scientific Theory and Cultural Practice' Richard Sussman Prize for Goethe scholarship Teaching at Caltech includes courses like Artificial Life: Literary Automata , Recalling the Wild , and Welcome to Dystopia , reflecting her interest in human-animal boundaries and technology's cultural role.
Axel Parmentier is a Lecturer and researcher at the École Nationale des Ponts et Chaussées, where he founded the AI for Air Transport industry research chair with Air France. His work focuses on the intersection of operations research and machine learning, particularly in data-driven combinatorial optimization and stochastic optimization, with industrial applications in air transportation, supply chain, and predictive maintenance. He holds a Ph.D. and has been recognized with awards including the AMIES Dissertation Award (2017) for applied mathematics with industrial impact and the Robert Faure Prize (under 35) from ROADEF. His research also includes contributions to structured reinforcement learning, optimization layers in machine learning, and explainable AI for operational decisions. Awards: AMIES Dissertation Award, Robert Faure Prize Labs/Teams: CERMICS laboratory, AI for Air Transport Chair (collaboration with Air France) Grants/Projects: Continent-scale inventory routing solutions, Renault’s logistics optimization His advising includes students like Victor Cohen, whose work on predictive maintenance was featured on France Culture.
Tina Grotzer is an Associate Professor of Education at the Harvard Graduate School of Education (HGSE) and a Principal Research Scientist at Harvard University. She is a leading cognitive and learning scientist specializing in causal cognition, complexity, and sustainability education. Her work focuses on how learners develop expertise in reasoning about complex systems, particularly in the context of climate change and ecosystems science. She leads the Cognition in a Complex World Lab, the Next Level Lab (NLL), and the EcoLEARN team, which develop immersive virtual environments and curricula to enhance ecological and systems thinking. Her research emphasizes the importance of shifting mindsets toward long-term, global perspectives and has produced frameworks such as Earth Resonant Design Moves. She has been awarded prestigious honors, including the NSF Career Award and the Presidential Early Career Award for Scientists and Engineers. Grotzer teaches courses on expert learning, instructional design, and climate education, and her work bridges theory and practice through collaborations with educators and institutions. Grotzer’s contributions span over a decade of publications on causal reasoning, complex systems education, and the design of technology-mediated learning environments. Her projects, such as EcoMUVE and EcoXPT, integrate virtual worlds and augmented reality to foster deeper understanding of ecological dynamics. She also advocates for inclusive climate education and preparing learners for future challenges in a VUCA (volatile, uncertain, complex, ambiguous) world.
Sergio Batista is an Assistant Professor in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. His research focuses on dynamic modelling of multi-modal transportation systems, traffic flow models, network equilibrium, and travel behavior. He serves on the Scientific Committees of major transportation conferences such as MT-ITS, TRISTAN, and hEART, and reviews for top-tier journals. He holds a PhD in Civil Engineering from the University of Lyon (2018), with prior degrees in Physics and Applied Mathematics from the University of Porto. His work bridges advanced mathematics with urban mobility challenges, including decarbonization and aging population mobility. Education: PhD in Civil Engineering (Transportation), University of Lyon, 2015-2018 Master's and Undergraduate Studies in Physics and Applied Mathematics, University of Porto, Portugal Research Interests: Dynamic traffic assignment, aggregated traffic models, macroscopic fundamental diagrams (MFD), urban mobility decarbonization, and mobility solutions for aging populations. His methodologies integrate operational research, variational theory, and Gaussian processes to optimize transportation networks and predict traffic dynamics. Professional Contributions: Developed a dynamic traffic assignment pipeline and heuristic models for mobility patterns. Active in academic service, including conference organization and journal reviewing. Currently seeking PhD students to advance research in multi-modal transportation systems. Labs/Teams: Leads a research group at Imperial College focusing on sustainable urban mobility and advanced traffic modelling techniques.
Viswa Viswanathan is a Professor of Computing and Decision Sciences at the Stillman School of Business, Seton Hall University. He specializes in data analytics, machine learning, artificial intelligence, and software engineering. His research focuses on leveraging IT and analytics to enhance online learning environments, particularly through intelligent tutoring systems and educational technology innovation. He has authored numerous books on R programming, SAP certification, and business analytics course materials. Research Contributions: Dr. Viswanathan has published extensively in operations research, algorithm design, and educational technology. Notable work includes stochastic greedy algorithms, constraint-based intelligent tutoring architectures, and optimization models for pooled testing during pandemics. His work bridges theoretical computing with practical applications in business education. Teaching: Teaches advanced courses like Business Applications of Machine Learning, Business Intelligence, and Big Data Analytics. Known for integrating emerging technologies like Ruby on Rails and GPT-3 into pedagogical frameworks. Professional Impact: Co-developed SAP certification guides (TS410 and TERP10) widely used in enterprise education. His books on R programming (e.g., R Data Analysis Cookbook) are standard references in data science education.
Hans Friedrich Köhn is an Associate Professor in the Department of Psychology at the University of Illinois Urbana-Champaign, specializing in quantitative methods at the intersection of psychometrics, statistics, and cognitive psychology. His research program centers on three interconnected pillars: Combinatorial Data Analysis : Developing techniques for analyzing individual differences through multiple proximity matrices derived from diverse data sources including subjects, experimental conditions, and temporal measurements. Nonmodel-Based Clustering : Advancing large-scale clustering methodologies with particular emphasis on the $$p$$-median model for psychological data partitioning. Cognitively Diagnostic Modeling : Innovating in cognitive diagnosis theory including attribute hierarchy models, $$Q$$-matrix identifiability, and the duality of diagnostic classification frameworks like DINA and DINO. Analysis of his 15 most recent publications (2015-2025) reveals overwhelming concentration on cognitive diagnosis (87% of works), with $$Q$$-matrix theory constituting the dominant thread. His contributions span theoretical foundations (identifiability conditions, consistency proofs) and practical implementations (two-step estimation algorithms, heuristic approaches for unknown $$Q$$-matrices). The p-median clustering work remains consistently integrated, particularly in combinatorial data analysis contexts. Recent 2024-2025 publications demonstrate active expansion into nonparametric cognitive diagnostic computerized adaptive testing (CD-CAT) and MCMC methodology for latent variable models. Dr. Köhn maintains scholarly influence through critical commentaries on foundational works (e.g., Greenhouse-Geisser correction) and reference contributions like the Wiley StatsRef entry on Hierarchical Cluster Analysis, establishing him as a key contributor to psychometric methodology development.
Kimberly Sheen, PhD , is a Lecturer in Digital Design and Communication at the School of Design , University of Leeds. Her work bridges user experience (UX), educational technology, and cognitive ergonomics, with a focus on accessible and equitable design. Her research explores: Cognitive ergonomics in digital interfaces Educational technology adaptation during pandemics Equity in hybrid/online learning environments Interactive design for electronic textbooks Recent publications include studies on hybrid teaching technologies (2022), UX frameworks for pandemic-era degree apprenticeships (2021), and cognitive ergonomics in digital reading (2018). She won the Hong Kong Ergonomics Society’s Student Project Award for her PhD work. Kimberly holds a PhD in Design and Technology from Hong Kong PolyU, an MSc in Human-Computer Interaction with Ergonomics from UCL, and a BA in English Literature with a minor in Communications. She serves as Deputy Programme Leader for the MA in Digital Design and Communication, teaching courses on UX, web design, and hybrid learning systems. Her consultancy projects with external companies focus on data dashboard redesign and telepresence robotics.
Dorsa Amir is an Assistant Professor of Psychology & Neuroscience and Evolutionary Anthropology at Duke University. She directs the Mind & Culture Lab, focusing on interdisciplinary research that bridges psychology, anthropology, and behavioral economics. Education: PhD from Yale University (2018), BS from UCLA (2012) Departments: Psychology & Neuroscience (2024–present), Evolutionary Anthropology (2025–present) Her research investigates how cultural environments shape cognitive development, behavioral variation, and decision-making. Key themes include cross-cultural childhood studies, cultural evolution, and the limitations of Western-centric methodologies in developmental research. Recent publications analyze topics such as WEIRD visual perception, scarcity effects on child generosity, and cross-cultural acoustic communication patterns. She emphasizes fieldwork in diverse societies (e.g., Shuar, Hadza) and experimental validation of cognitive models. At Duke, she teaches courses like PSY 203: Practicum and participates in faculty development programs. Her outreach work includes public science communication in outlets like TED , Science , and The New York Times .
Niclas Larson is an Associate Professor at the University of Agder (UiA), affiliated with the Faculty of Engineering and Sciences and the Department of Mathematical Sciences. His academic journey includes teaching positions in Swedish secondary schools, doctoral studies at Linköping University, and faculty roles at Stockholm University. Larson specializes in mathematics education, teacher training, and computer-aided assessment, with a focus on linear equations and algebraic competence. Education: Bachelor's and Licentiate in Mathematics (Stockholm University), PhD in Mathematics Education (Linköping University) Current Roles: Teaches mathematics and mathematics education at UiA; supervises master’s and PhD students Research: Cross-cultural analysis of pre-service teachers' equation-solving explanations; digital assessment systems; algebra in compulsory education Podcast: Runs "Spøkelser etter avdøde størrelser" (Ghosts of Departed Mathematicians), connecting historical mathematical concepts with modern pedagogy Larson's research examines how pre-service teachers explain mathematical solutions, particularly linear equations, across Norway and Sweden. He explores transitions from high-stakes exams to continuous assessment models using digital tools like STACK-tests. His work bridges theoretical frameworks with practical implementation, focusing on pedagogical innovation and comparative judgement in educational settings. Scientific publications demonstrate expertise in mathematics education, teacher development, and digital assessment tools. Recent articles analyze cross-national differences in algebraic reasoning, cognitive aspects of mathematical memory, and ethical challenges in academic writing. Larson contributes to curriculum development through textbooks like "Matematik Origo" and participates in academic committees, including the Research Education Committee for the PhD Programme in Engineering and Science at UiA. His podcast initiatives and collaborative projects highlight his commitment to public engagement and interdisciplinary approaches in mathematics education.
Patrizia Beraldi is an Associate Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. She has been with the university since 2001, holding roles from Research Fellow to her current position. With over 80 publications, her work focuses on stochastic programming, probabilistic constraints, and their applications in energy systems, healthcare, finance, and logistics. Education: PhD in System Engineering and Computer Science (2000), University of Calabria Degree in Management Engineering (cum laude, 1995), University of Calabria Her research spans solution methods for network flow problems, stochastic programming with recourse, and probabilistic constraint modeling in diverse fields like energy procurement, drone routing, and financial optimization. Recent publications emphasize stochastic bilevel models for energy tariffs and ML-enhanced optimization frameworks. Scientific Awards: Best paper award, 2015 IMA Journal of Management Mathematics Best presentation award, ICEER Conference 2017 Best poster award, ICORES 2018 She supervises numerous master's and PhD students and leads the Financial Engineering and Risk Management Laboratory at DIMEG. Her editorial roles include Associate Editor for TOP , Algorithms , and IMA Journal of Management Mathematics .
Ayşe Tosun Kühn is an Associate Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), where she also serves in administrative roles such as Deputy Dean and Management Board Member of the ITU Artificial Intelligence and Data Science Application and Research Center. She earned her Ph.D. in Computer Engineering from Boğaziçi University and has held academic positions at Sabancı University and the University of Oulu. Her research lies at the intersection of software engineering, empirical methods, and data science, with a focus on software quality, defect prediction, technical debt, vulnerability analysis, and test-driven development. She leads numerous funded research projects, including those supported by TÜBİTAK and industry collaborations, applying machine learning and reinforcement learning to software engineering challenges. Her recent publications reflect a strong trend in applying advanced machine learning techniques—particularly deep learning and reinforcement learning—to problems in software analytics, developer behavior modeling, and delivery optimization. She has made significant contributions to empirical studies on test-driven development, defect prediction models, and vulnerability detection in code. Her work is frequently published in high-impact journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering, and Journal of Systems and Software. She has served as a guest editor and editorial board member for the Turkish Journal of Electrical Engineering and Computer Sciences , and has contributed book chapters on data science in software engineering. Her research has been cited over 1,700 times, with an h-index of 23. Scientific Awards: None explicitly mentioned. She advises several graduate students and has collaborated extensively with researchers in Turkey and internationally. She has also contributed to industry applications through projects on software measurement, defect prediction, and AI-based analytics. She is actively involved in organizing and contributing to major software engineering conferences and workshops. She is a key member of ITU’s AI and Data Science initiatives, contributing to both academic research and practical implementations in software engineering.
