Danny Caballero is a Professor at Michigan State University with joint appointments in the Department of Physics & Astronomy and the Department of Computational Mathematics, Science and Engineering . He holds the Lappan-Phillips Chair of Physics Education and co-directs the Physics Education Research Lab , while also serving as a principal investigator for the Learning Machines Lab and research faculty at the University of Oslo’s Center for Computing in Science Education. His research focuses on: How computational tools and scientific practices influence learning Cognitive and sociocultural theories in STEM education Departmental valuation of computational methods WCAG-compliant open educational resource development Recent publications highlight: Statistical modeling in physics education Computational literacy assessment Graduate admissions policy analysis Machine learning applications in educational assessment Scientific recognitions include: Lappan-Phillips Chair (2025) $300,000 NSF grant for computational education tools Additional roles: Founder of OER-Forge platform Union of Tenure System Faculty organizer Editor for upcoming Computing in Physics Education book
Gala Nettelbladt is a postdoctoral researcher and lecturer at the Institute for European Urban Studies (IfEU) at Bauhaus University Weimar's Faculty of Architecture and Urbanism. She is also an associate member at the DFG-funded Research Training Group "Urban Future-Making" at HafenCity University Hamburg. Dr. Nettelbladt received her PhD in Urban Sociology summa cum laude from Humboldt University of Berlin, where she researched municipal governance of contemporary far-right contestations. She holds an MRes in Interdisciplinary Urban Design with Distinction from the Bartlett School of Planning (UCL) and a BA in European Studies with First Class Honours from King's College London and Sciences Po Paris. Her research centers on socio-political conflicts and negotiations in cities, critically examining the role of civil society, planning and state authorities in navigating today's multiple crises, such as the rise of the far right and climate change. Her current postdoctoral project "The Contentious Politics of Planning for Water Scarcity" traces planning conflicts around water scarcity in Germany and the UK. Her scholarly work demonstrates consistent focus on how urban spaces become sites of political contestation, particularly around issues of water governance and far-right movements. Analysis of her recent publications reveals strong thematic consistency across two primary research strands: urban water governance and planning responses to far-right politics. Her work bridges theoretical urban studies with practical planning challenges, often employing qualitative methodologies to examine local case studies in Germany and the UK. AESOP Young Academics Best Paper Prize 2021 Departmental Award, The Bartlett School of Planning, UCL (2017) Postdoctoral Fellowship, KSB Stiftung Stipendium (DAAD-Stiftung) (2025) PhD scholarship, Studienstiftung des deutschen Volkes (2020-2022) Dr. Nettelbladt is an active member of the editorial collective of sub\urban, zeitschrift für kritische stadtforschung , an open-access journal funded by the DFG. Her academic service includes previous visiting professorships at HafenCity University Hamburg and scholarly engagement at the University of Cambridge. Her interdisciplinary approach integrates political sociology, urban planning, and environmental governance to address pressing urban challenges in contemporary Europe.
Edith C. H. Ngai is an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. She leads the Smart City Arena initiative and serves as project leader for the national GreenIoT project on energy-efficient IoT for sustainable city development funded by Vinnova. Her academic career spans multiple prestigious institutions including Chinese University of Hong Kong, Imperial College London, Simon Fraser University, UCLA, and Tsinghua University. Dr. Ngai's research focuses on Internet-of-Things, mobile crowdsensing, network security and privacy, cloud computing, and data analytics, with particular applications in smart cities and healthcare. Her work bridges theoretical foundations with practical implementations for sustainable development. She has pioneered research in energy-efficient IoT systems, data privacy in participatory sensing, and mobile health monitoring applications. Her recent publications demonstrate strong trends in IoT for smart cities, privacy-preserving techniques in social sensing, and energy-efficient data collection systems. The research spans both theoretical contributions and practical implementations, with applications ranging from urban environmental monitoring to healthcare solutions. Her work consistently addresses the tension between functionality and privacy in connected systems. Professional recognition includes: ACM Senior Member (2016) IEEE Senior Member (2015) ACM/IEEE IPSN Best Paper Runner-Up (2013) IEEE IWQoS Best Paper Runner-Up (2010) VINNMER Fellow from Swedish government agency (2009) Dr. Ngai actively mentors PhD and Master's students, with numerous graduates working at leading technology companies including Google. She serves as Associate Editor for IEEE Access, IEEE Transactions on Industrial Informatics, and IEEE Internet-of-Things Journal. Her current research projects include EU SimpliCITY, EU CRUNCH, and the GreenIoT platform for sustainable development, with funding from European Commission, Swedish Research Council, and Vinnova. She leads the Uppsala Urban Computing Lab, which focuses on IoT and mobile crowdsensing for smart cities, network security and data privacy, and smart sensing for healthcare applications. The lab develops integrated decision support tools for smart cities and citizen engagement platforms.
Kaius Sinnemäki is a Professor of Quantitative and Comparative Linguistics at the University of Helsinki, affiliated with the Department of Languages under the Faculty of Arts. Since 2025, he has directed the strategic profiling action Diversity in Society and Life (DIVSOL) , funded by the Research Council of Finland, and previously led the ERC Starting Grant project Linguistic Adaptation (2019-2024). His research focuses on large-scale comparative linguistics, integrating language typology with sociolinguistics. Key areas include core argument marking, statistical methods in typology, linguistic complexity, language contact, and the interplay between language and religion. He teaches courses spanning language typology, evolution, sociolinguistics, and quantitative methods. Recent publications address replication in linguistic research, adaptation in contact ecologies, and complexity measures across phonological, morphosyntactic, and syntactic domains. His work often bridges theoretical linguistics with empirical data analysis, utilizing open datasets and computational tools. Scientific Awards: Prize for the Humanities (2021) He actively supervises academic theses, serves on editorial boards (e.g., Linguistic Typology ), and participates in international collaborations, peer reviews, and media engagements on linguistic diversity and secularism.
Juho Aalto serves as a Doctoral Researcher and University Teacher at the Faculty of Law, University of Turku, specializing in critical legal theory at the intersection of sex/gender binaries, human rights, and materiality. His current doctoral dissertation investigates how law constructs sex/gender and sexual orientations both discursively and materially, with particular focus on European Court of Human Rights jurisprudence. His research synthesizes Feminist Legal Theory , Queer Legal Theory , and New Materialisms to challenge law's perceived abstraction, arguing that legal frameworks actively materialize through bodies and social structures. Key themes include deconstructing hierarchies (masculine>feminine, heterosexuality>homosexuality), agential realism, and Nordic feminist perspectives on Finnish procedural law and identification systems. Analysis of his 2021-2024 publications reveals a cohesive trajectory toward integrating posthumanist and materialist approaches into legal scholarship, particularly regarding ECtHR adjudication, digital identity, and spatial justice. His work consistently bridges theoretical critique with practical implications for human rights law and Nordic legal reform. No information on scientific awards or formal student advising is available from the provided text. His teaching activities as University Teacher remain unspecified beyond disciplinary focus.
Connie J. Mulligan is a Professor in the Department of Anthropology at the University of Florida (UF) , with affiliations to the Center for African Studies and the Genetics Institute. She has led a distinguished research program since 2005, focusing on molecular genetics, epigenetics, and biocultural approaches to health disparities. Her work bridges evolutionary anthropology and public health, supported by continuous NSF grants since 2005. Educational Background: Ph.D. in Molecular Biophysics and Biochemistry from Yale University (1990) B.S. in Honors Biology and Chemistry from University of Illinois, Champaign-Urbana (1983) Mulligan's research investigates how childhood adversity , maternal stress , and racial discrimination interact with genetic/epigenetic factors to influence health outcomes. Her team studies populations in Tallahassee (hypertension in African Americans), DRC (intergenerational stress effects), and Jordan (Syrian refugee resilience). She pioneered biocultural frameworks showing gene-environment interactions in diseases. Her 15 most recent publications span three major research themes: (1) epigenetic mechanisms linking maternal stress to neonatal health (2016-2020), (2) genetic ancestry analysis in African/Ethiopian populations (2009-2011), and (3) molecular anthropology of prehistoric migrations (2008-2009). Notably, she discovered gene-specific DNA methylation patterns in war-affected DRC mothers and Science -featured refugee resilience research. Scientific Recognition: UF Term Professorship (2017-2018) President of American Association of Anthropological Genetics (2017-2018) Senior Editor at American Journal of Physical Anthropology Workshop Organizer on Social & Behavioral Epigenetics (2014-2019) As an advisor, she has mentored 10 PhD candidates (as chair) , 9 Masters students, and >50 undergraduates (>200 semesters total). Her lab collaborates with Yale , Hashemite University , and Washington University , focusing on trauma epigenetics and global health research. Her work appears in Nature , Science , and PLoS ONE , with media coverage in National Geographic , The Atlantic , and NPR . She co-organized NSF workshops on data sharing in biological anthropology and serves on editorial boards of major journals.
Nicolò Dell'Unto serves as Professor of Archaeology at Lund University's Department of Archaeology and Ancient History within the Faculty of Humanities and Theology. His research pioneers digital methodologies for archaeological analysis, specializing in 3D visualization, spatial technology, and virtual reality applications that transform how we perceive and investigate the past. Based at Helgonavägen 3 in Lund (Room LUX:A122), he directs the Digital Archaeology Laboratory (DARKLab) and oversees undergraduate/postgraduate digital archaeology programs. His educational background includes: Archaeology studies at University of Rome, La Sapienza PhD in Technology and Management of Cultural Heritage from IMT Lucca, Italy Postdoctoral fellowship at University of California Merced Dell'Unto's research focuses on how laser scanners, photogrammetry, GIS, and virtual reality technologies fundamentally reshape archaeological practice. His work bridges technical innovation with theoretical frameworks in landscape archaeology, emphasizing practical field applications while addressing methodological challenges in data interpretation. Key themes include digital documentation standards, 3D data management, and the cognitive impact of visualization tools on archaeological reasoning. His publication trends reveal a shift toward AI integration in archaeological data interpretation, infrastructure development for 3D data sharing, and cross-disciplinary collaborations examining Mediterranean connectivity. Recent works emphasize practical frameworks for implementing digital tools in fieldwork while addressing sustainability challenges in digital heritage preservation. Award highlights: Einar Hansen Prize for Humanities (2017) Royal Physiographic Society of Lund election (2024) Best Paper Award (2014) Highly Cited Research recognition (2017) Dell'Unto supervises PhD and master's students while leading major projects including RE-OSTRAKON (3D artifact scanning), TETRARCHs (data reuse), and AIR (Archaeological Interactive Report). His DARKLab serves as Sweden's national infrastructure for digital archaeology, collaborating with institutions like University of Oslo's Museum of Cultural History where he holds a visiting professorship since 2019. He actively shapes digital archaeology policy as Domain Specialist for Swedish National Data Service, Board Member for Statens historiska museer, and Open Science Champion at Lund University, driving national standards for archaeological data management and open science practices.
Kristin Braa is a Professor at the Department of Informatics, University of Oslo, and serves as Director of the HISP Center. Her career includes an 8-year tenure as Research Director at Telenor, where she established a Research and Innovation Center in Malaysia. Academic Roles: Vice Head of Department of Informatics, head of Information Systems (IS) research group Research Focus: Mobile extensions of open-source DHIS2 software for low-resource settings, action research methods, sustainable health information systems Research Themes: She investigates innovative approaches to support rural healthcare workers and underserved populations, emphasizing long-term engagement in national health systems. Her projects include MobiHealth (2010–2014) and NORAD-funded initiatives (2010–2014) for health information systems in developing countries. Scientific Awards: 2023 AIS Impact Award (with Jørn Braa) 2020 Roux Prize (with Jørn Braa) 2013 University of Oslo Innovation Prize 2013 Researcher of the Year (Faculty of Mathematics and Natural Sciences, UiO) 2011 ICT and Energy Researcher of the Year 2011 Rosing Prize Finalist for rural Bangladesh health initiative Collaborations: Active in the IS research group and Climate Health Network. She advocates for sustainable, community-empowering information systems through participatory design and sociotechnical approaches.
Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.
Professor Stefan Siebert is Head of the Department of Crop Sciences at the Agricultural Faculty of the University of Göttingen, a position he has held since October 2017. His academic career spans multiple prestigious institutions including the University of Bonn, University of Frankfurt, and University of Kassel, where he completed his doctoral studies. University of Göttingen (2017-present): Professor and Head of Crop Science/Agronomy University of Bonn (2016-2017): Temporary Head of Chair Crop Science University of Bonn (2009-2015): Habilitation in Crop Science and Resource Conservation University of Frankfurt (2004-2009): Postdoctoral Scientist University of Kassel (2002-2005): Ph.D. Student and Scientist Professor Siebert's research focuses on sustainable resource use in crop production, climate change impacts on plant growth, plant growth modeling, and drought risk assessment. His work integrates large-scale data analysis with modeling approaches to understand the complex interactions between resource use, crop management, and productivity. He has developed comprehensive datasets on water, soil, and nutrient use in agriculture and pioneered methods for analyzing irrigation systems globally. His recent publication trends reveal a strong emphasis on irrigation systems, climate change impacts on agriculture, and advanced crop modeling techniques. The analysis of his 15 most recent articles shows consistent focus on water resource management, spatial analysis of agricultural systems, and the effects of climate variability on crop production. His work frequently combines remote sensing data with ground-based measurements to create high-resolution datasets for agricultural decision-making. Professor Siebert leads several significant research projects including ZERN (Future of Nutrition in Lower Saxony, 2024-2029), Collaborative Research Center 1502 on Regional Climate Change (2022-2025), and OUTLAST (Development of a global drought hazard forecasting system, 2022-2025). He has been continuously developing and maintaining a global dataset on irrigated areas since 1997, establishing himself as a leading authority in agricultural water management. His teaching portfolio is extensive, covering scientific writing, field production exercises, general crop production, methodical work, plant biology, crop production and breeding, sustainability of production systems, and applications of data analysis to agronomy. Professor Siebert's work bridges theoretical research with practical applications in sustainable agriculture, making significant contributions to our understanding of how to maintain food security in the face of climate change.
Tyler Cody is an Associate Professor of Data Science at the University of Virginia School of Data Science and a member of the National Security Data and Policy Institute. His research bridges systems engineering and artificial intelligence through abstract systems theory. Education: Ph.D. in Systems Engineering, University of Virginia B.S. in Systems Engineering, University of Virginia (minors: Computer Science, Applied Mathematics) Dr. Cody's research centers on systems theory as a meta-theory for learning, with applications in machine prognostics, telecommunications, computer networks, fraud detection, and computer vision. He investigates phenomena in learning processes, focusing on change and reuse, lifecycles, and iterated games. His recent publications (2024-2025) reveal a strong trend in applying systems theory to machine learning assurance and cyber security. Key areas include reinforcement learning for cyber operations, combinatorial methods for testing ML systems, and outcome-based engineering for AI. His work also addresses ethical implications and architectural design of learning systems. Scientific Awards: No awards listed in the provided information. No details were provided regarding student advising or research grants. Dr. Cody contributes to the National Security Data and Policy Institute, where his expertise supports data-driven approaches to national security challenges through systems-theoretic frameworks.
Shah Nawaz is an Assistant Professor at the Institute of Computational Perception , Johannes Kepler University Linz. His research focuses on multimodal systems, deep learning applications in healthcare, and cross-modal learning frameworks. He leads projects addressing challenges like missing modalities in machine learning, face-voice association, and medical image analysis. Key research interests include machine learning for medical diagnostics (e.g., breast cancer detection, skin lesion segmentation), speech recognition, and adaptive neural network architectures. He has contributed to frameworks like Chameleon for robust multimodal learning and the FAME challenge for face-voice association in multilingual environments. Publications emphasize practical applications, such as bilingual healthcare chatbots for pregnant women and light-weight speech recognition models for resource-constrained systems. His work bridges theoretical advancements and real-world deployment in healthcare and security domains. Shaw Nawaz actively participates in academic communities through workshops like DaQuaMRec@RecSys2025 and has developed open-source frameworks for image restoration and multimodal fusion. His lab focuses on scalable solutions for multimodal data challenges in both technical and clinical contexts.
A.S. Richterich is an Associate Professor in Digital Cultures at Maastricht University’s Faculty of Arts and Social Sciences (FASoS), Department of Literature & Art. Their research focuses on social practices involving digital technology, particularly in hacker/maker communities and feminist technocultural spaces. They hold a PhD in Digital Media Studies from the University of Siegen (2012) and conducted postdoctoral research at the University of Sussex as a Marie Skłodowska-Curie Fellow (2019-2021). Key areas of expertise include hacker/makerspace dynamics, digital literacy, feminist technology activism, and ethnographic methods. Richterich has published widely in journals such as *Information, Communication & Society* and *Learning, Media, & Technology*, examining topics like data solidarity, design thinking critiques, and gendered participation in tech communities. Recent projects include investigating feminist automation ethics and the socio-political implications of hackathons. They received the Marie Skłodowska-Curie Fellowship (2019-2021) for research on experiential learning in maker cultures. Current work explores marginalized groups’ engagement with digital technologies, including women-only developer communities and feminist hackerspaces.
Dr. Irene Fubara-Manuel is an Associate Professor in Digital Media Practice at the University of Sussex's School of Media, Arts and Humanities. Their work bridges media art, animation, game design, and critical theory, focusing on race, migration, surveillance, and queer futurities. They hold a PhD from Sussex (2016-2019) and a PgCert in Higher Education (2020-2022). Their research interrogates biometric surveillance systems, digital colonialism, and intersectional feminist praxis in technology. Key research areas include: Algorithmic governance of migration Data colonialism and global south perspectives Feminist digital infrastructures Queer media representation Intersectional methodologies in digital humanities Recent projects include the AHRC-funded Full Stack Feminism initiative (2021-2024), exploring anti-racist feminist tech ecosystems. Their creative practice spans installations addressing border control algorithms and queer digital futurisms. Notable works include the Full Stack Feminism Archive and Manifestations exhibition. Awards include the JUST AI Fellowship (2020). Teaching focuses on critical media production and digital culture. Their publications span peer-reviewed journals, edited collections, and creative-critical exhibitions, demonstrating a commitment to interdisciplinary praxis.
Rohan Alexander is an Assistant Professor jointly appointed in the Faculty of Information and the Department of Statistical Sciences at the University of Toronto. His research focuses on improving the trustworthiness of data science through rigorous workflows, including reproducibility and bias mitigation. He co-founded The Data Workshop, a platform for data science best practices, and authored Telling Stories With Data , a book emphasizing reproducible methods. Rohan holds a PhD in Economics from the Australian National University, specializing in economic history. Rohan’s academic roles include Assistant Director of CANSSI Ontario and Senior Fellow at Massey College. His teaching includes courses like Experimental Design for Data Science and Worlds Become Data . He actively contributes to interdisciplinary initiatives like the Schwartz Reisman Institute for Technology and Society. His research interests span quantitative social science, Bayesian methods, text analysis, and computational reproducibility. He emphasizes code transparency and testing in data science projects. Rohan’s work addresses challenges in data measurement, such as systematic missingness, and explores AI’s societal impacts through collaborative projects with academia and industry. Rohan is affiliated with the Data Sciences Institute and leads initiatives on reproducibility. His current supervision includes PhD student Ciara Zogheib. His institutional roles extend to strategic projects like the Climate Positive Energy initiative and School of Cities.
