Peter Martin Paschke is a Senior Researcher at the Department of Comparative Linguistic and Cultural Studies , Ca' Foscari University of Venice. His research focuses on German as a Foreign Language (DaF) , particularly in the areas of L2 pronunciation , foreign accent perception , and language teaching methodologies . Position: Researcher Department: Comparative Linguistic and Cultural Studies Key Research Areas: Applied Linguistics, Second Language Acquisition, Pronunciation Studies Paschke's recent publications analyze phonetic challenges in Italian learners of German , including studies on prosody , focus accent placement , and cross-linguistic comparisons . He frequently collaborates with scholars like David Newbold and Ignacio Arroyo Hernández, contributing to edited volumes and journal special issues on language acquisition and teaching. His academic work spans over four decades, with notable contributions to German-Italian linguistic contrasts , didactic resources , and empirical studies on language learners . While no specific awards or student supervision details are mentioned in the provided texts, his publications highlight expertise in language teaching , phonetic analysis , and cross-cultural communication .
Lauri Malmi is a Professor of Computer Science at Aalto University's Department of Computer Science, School of Science, leading the Learning+Technology research group (LeTech) since 2001. His primary research focus is Computing Education Research with emphasis on programming education tools, automatic assessment systems, and learning analytics. His research interests center on developing and evaluating advanced learning environments for programming education. Key areas include automatic assessment and feedback systems, program simulation and visualization tools, and gamified learning approaches. His empirical work spans qualitative interview studies to educational data mining techniques. He has made significant contributions to theoretical frameworks in computing education and meta-studies of the field. Malmi has chaired major international conferences including Koli Calling (2004, 2008) and ICER (2017-2018). He served as a regular columnist for ACM Inroads (2013-2020) and editorial board member for ACM Transactions on Computing Education and IEEE Transactions on Learning Technologies. His work demonstrates strong interdisciplinary connections between computer science education, learning sciences, and human-computer interaction. ACM SIGCSE award for Outstanding Contribution to Computer Science Education (2020) 2016 Learning Contribution Achievement Award (2017) Excellent Education in Electronics (2000) Teacher of the year 1999, Helsinki University of Technology Malmi has led significant educational initiatives including the national Center of Excellence in Education at Helsinki University of Technology (2001-2006) and the Aalto Online Learning digitalization project. His research group has secured numerous grants for developing innovative educational technologies and studying their impact. The LeTech group maintains active collaborations across Europe and globally in computing education research. His work extends into healthcare education through virtual reality childbirth training applications, demonstrating the transferability of educational technology approaches across domains. Malmi has contributed extensively to establishing methodological standards in computing education research through conference workshops and special journal issues.
Jing Shen serves as an Assistant Professor in the Department of Communication Sciences and Disorders at Temple University's College of Public Health. Her research program, supported by the National Institute of Deafness and Communication Disorders (NIDCD), addresses critical communication challenges faced by older adults in everyday listening environments. Her academic credentials include: PhD in Experimental Psychology from University of California, San Diego MS in Psychology (Social and Personality) from East China Normal University BA in Political Science (Minor: Psychology) from East China Normal University Dr. Shen's research investigates perceptual mechanisms underlying speech understanding in adverse conditions, with particular focus on how hearing loss and cognitive decline interact in aging populations. Her work develops innovative outcome measures for speech processing in realistic scenarios and examines individual variability in communication abilities. The SPAC Lab employs multimodal approaches including pupillometry to quantify listening effort and cognitive load during speech tasks. Analysis of her publication record reveals sustained investigation into dynamic pitch cues, breathy vocal quality, and noise effects on speech perception across aging cohorts. Recent work expands methodological approaches through remote testing validation and inclusion of vulnerable populations like older adults experiencing homelessness, demonstrating translational impact from laboratory to real-world settings. Dr. Shen directs the Speech Perception and Cognition (SPAC) Lab where her team conducts both laboratory and field studies. Her NIDCD-funded research bridges basic science with clinical applications, aiming to improve audiological services through better understanding of individual differences in speech communication challenges among older adults.
Vivian P. Ta-Johnson is an Assistant Professor in the Department of Psychology within the College for Health, Community and Policy at the University of Texas at San Antonio. Her research leverages natural language processing to investigate social psychological phenomena, with a focus on policing, human-chatbot interactions, and persuasion. Education: Ph.D. in Experimental Psychology from The University of Texas at Arlington M.S. in Experimental Psychology from The University of Texas at Arlington B.A. in Psychology from The University of Texas at Arlington Dr. Ta-Johnson's research spans social psychology and computational methods, particularly natural language processing. She investigates police-community interactions, use-of-force decision making, and police training through the lens of cognitive load and linguistic analysis. Additionally, she explores human-chatbot interactions, examining user motivations and discussion topics. Her work bridges traditional social psychology with innovative computational approaches to address complex social issues in law enforcement and digital communication. Her recent publications demonstrate a strong trend in applying NLP to real-world social contexts, especially in policing and online interactions. The research consistently addresses the psychological mechanisms underlying communication in high-stakes environments and digital platforms, contributing to both theoretical understanding and practical applications in training and technology design. Scientific Awards: Article Award (2022) from the International Association for Relationship Research APA Dissertation Research Award (2017) from the American Psychological Association Information regarding advising and grant funding was not provided in the available sources. Dr. Ta-Johnson leads the Language & Social Dynamics Lab (formerly the Technology, Relationships, and Language Lab), which focuses on using natural language processing to study social psychological processes. The lab's work aims to improve law enforcement training and practice through analysis of police performance in training programs and body-worn camera videos, as well as to understand human interactions with social chatbots.
Han van der Maas is a Professor of Psychological Methods at the University of Amsterdam's Faculty of Social and Behavioural Sciences. His research focuses on complex psychological systems, computational modeling, and methodological innovations in psychology. He maintains an active role in academic discourse through both research publications and opinion columns on societal issues. Research Interests: Van der Maas investigates cognitive development, psychometric networks, and societal dynamics through computational approaches. His work bridges psychological theory with applications in educational technology, clinical psychology, and public health. Key themes include: Network modeling of psychopathology and attitudes Adaptive learning systems and educational measurement Urban-rural disparities in mental health AI-human cognition comparisons Publication Trends: Recent work (2022-2025) demonstrates strong emphasis on: Network theory applications to clinical and social psychology Longitudinal studies of pandemic-related behaviors Computational models of learning and skill acquisition Methodological innovations in causal inference Cross-cultural mental health disparities
Dr. Anja Schade is a Research Associate at the University of Hildesheim's Institute of Social Sciences, Department of Political Science, specializing in political didactics, political education, and migration policy. Funded by the Female Professors Programme III, she serves as the Contact Person for Erasmus+ in the Department of Political Science and contributes to the Migration Policy Research Group through collaborative projects. Her academic background includes a PhD in Political Science from the Free University of Berlin (awarded magna cum laude in 2021) with a dissertation on 'The more natural place to be? The exile of the ANC in the GDR – a transnational entanglement story of solidarity during the Cold War.' She previously earned her degree in Political Science with 'very good' honors from the same institution. Dr. Schade's research spans multiple interconnected domains: historical-political education focusing on disenfranchisement during the Nazi era and German-German contemporary history; migration policy with emphasis on refugee integration and digital solutions; oral history methodologies applied to German and South African contemporary history; and political education concerning democracy and human rights. Her work often bridges historical analysis with contemporary policy challenges, particularly regarding migration and digitalization. Her recent publications reveal a strong trend toward interdisciplinary migration research combining historical perspective with practical policy solutions. She has co-authored significant works on algorithm-based refugee distribution systems (Match'In project), municipal refugee accommodation challenges, and the intersection of digital tools with political education. Her scholarship consistently connects academic research with practical implementation in educational and policy contexts. As an educator, Dr. Schade has developed digital learning modules for GDR history education (www.lernen-ddr.de), created seminar materials on environmental movements in East and West Germany, and conducted workshops on historical topics. She collaborates extensively with institutions including the Rosa Luxemburg Foundation, the Leipzig Citizens' Archive, and the Hanover Workshop School, demonstrating her commitment to knowledge transfer between academia and civil society. Her international research activities include multiple stays in South Africa for archival work and interviews related to German-South African solidarity movements during the Cold War, reflecting her transnational approach to historical and contemporary political education.
Kaiguang Zhao is an Associate Professor of Environmental Modeling and Spatial Analysis at The Ohio State University's School of Environment and Natural Resources. His research focuses on mapping, monitoring, modeling, and managing terrestrial environments across scales, especially in the context of global environmental changes. He employs a combined toolset including geotechnology, spatial analysis, machine learning, biophysical & climate modeling, ecological modeling, Bayesian statistics, and eddy-covariance to characterize ecosystem status and changes. Ph.D. in Forestry, Texas A&M University, 2008 M.S. in Geography, Beijing Normal University, 2004 B.S. in Physics, Beijing Normal University, 2001 Dr. Zhao's research interests span remote sensing & GIS, spatial modeling, data analytics, environmental modeling, climate change, and machine learning applications to environmental systems. His work particularly emphasizes developing geospatial applications using hyper spectral imaging, high-resolution imagery, hyper-temporal remote sensing, and lidar to characterize ecosystem structure and functioning. His research addresses critical questions about carbon storage in forests, ecosystem disturbance patterns, vegetation community mapping, climate change impacts on vegetation activities, and climate regulation services from forestry and land-use activities. His extensive publication record demonstrates strong trends in applying advanced statistical and machine learning methods to environmental remote sensing data. His work increasingly focuses on integrating multiple data sources and developing novel algorithms for environmental monitoring, with particular emphasis on crop modeling, water quality assessment, carbon cycling, and climate change impacts. The research shows a clear trajectory toward more sophisticated modeling approaches that combine physical principles with data-driven techniques. 2022 Best Paper award for 'Mapping crop types in fragmented arable landscapes using AVIRIS-NG imagery and limited field data' published in the International Journal of Image and Data Fusion Dr. Zhao actively seeks self-motivated graduate students with quantitative and computational backgrounds to apply their skills to environmental issues in natural or human-dominated ecosystems. His research has been supported by numerous grants focused on environmental monitoring, climate change impacts, and sustainable resource management. While specific grant details aren't listed in the provided text, his extensive publication record suggests substantial research funding across multiple environmental domains. His work involves collaboration with various research teams and laboratories focused on remote sensing, environmental modeling, and climate change research. He has developed significant computational tools including the Rbeast package for Bayesian Change-Point Detection and Time Series Decomposition, indicating leadership in developing methodological approaches for environmental data analysis.
Martins Priedols is a social psychologist, lecturer, and researcher at the University of Latvia, currently serving as the Acting Head of the Department of Psychology within the Faculty of Education Sciences and Psychology. He holds a Master's degree in Psychology (Mg. Psych.) and is actively engaged in both teaching and research activities at the institution. Dr. Priedols' research focuses on the psychological mechanisms behind information perception and evaluation, particularly in the context of disinformation and online environments. His work examines how individual attitudes, thinking styles, and emotions influence the assessment of information reliability. Key research areas include online perception of information (disinformation, misinformation, fake news, propaganda), pseudoscientific worldviews, and the perception of polarizing topics such as conspiracy theories, artificial intelligence, climate change, and LGBTQ+ issues. His recent publications demonstrate a strong focus on political psychology and cognitive processes related to misinformation evaluation. The research shows consistent interest in understanding how analytical thinking, emotional responses, and prior attitudes shape how people process information in digital environments, with several 2024 publications examining political trust structures and the relationship between patriotism, nationalism, and political system trust. Psychologist of the Year 2022 (Young Scientist of the Year 2022) from the Latvian Psychological Association Sylff Fellowship Programme Award 2023 from the Tokyo Policy Research Foundation As an educator, Priedols teaches courses including Introduction to Psychological Science, Critical Thinking in the Study Process, Psychology of Advertising, and Communication Psychology in Design Professions. While specific grant information isn't detailed in the provided text, his Sylff Fellowship indicates successful external funding acquisition. His research appears to involve collaborative work with colleagues including G. Dimdins, I. Austers, V. Gaina, and V. Leja, suggesting active participation in research teams focused on social and political psychology.
Dr. Hüseyin Küçükali is a Researcher at the Institute for Risk Assessment Sciences (IRAS) within the Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University. His work integrates epidemiology, artificial intelligence, and systems thinking to innovate non-communicable disease prevention in urban environments, with emphasis on exposome research and healthy aging initiatives. Education PhD in Public Health, Istanbul University - Cerrahpasa MD (Medicine), Istanbul University - Cerrahpasa Research Focus Dr. Küçükali's expertise spans causal inference , exposome analysis , and AI-driven health behavior modeling , particularly examining urban environmental impacts on cognitive decline and tobacco use patterns. His methodology combines accelerometry , GPS tracking , and molecular data to map mechanistic pathways in aging populations, while leveraging large language models for public health surveillance in digital spaces. Publication Trends His 15 most recent publications reveal three dominant threads: (1) urban exposome effects on cognitive health using multi-sensor data integration, (2) AI applications for tobacco control through social media content analysis, and (3) Bayesian modeling of socioeconomic disease patterns. These works consistently bridge environmental epidemiology, data science, and policy-relevant public health interventions across international contexts including Türkiye, UK, and Ireland. Professional Engagement He actively contributes to the International Human Exposome Network (IHEN) and STAGE (Stay Healthy Through Ageing) projects while leading the Utrecht Exposome Hub. Previous roles include postdoctoral research at Queen's University Belfast on urban green spaces (GroundsWell project) and health promotion leadership in Istanbul's municipal health administration. He also created educational resources like the Turkish-language Video Glossary of Public Health Concepts.
Jun.-Prof. Dr. Johann Justus Vasel, LL.M. (NYU) holds the Santander Bank Endowed Junior Professorship for Public Law with a special focus on legal issues of artificial intelligence at the Faculty of Law, Heinrich Heine University Düsseldorf. He is also a board member of the Heine Center for Artificial Intelligence and Data Science (HeiCAD). Education: LL.M. in International Legal Studies (NYU), Doctorate in Law (University of Hamburg), Law and European Law studies (Julius-Maximilian University of Würzburg), Law and Economics (University of Bayreuth) His research focuses on legal challenges in artificial intelligence, public law, international law, and human rights, with an emphasis on legal writing, rhetoric, and negotiation skills. He teaches courses such as seminars on AI-related legal issues and workshops on negotiation management and communication. Awards: Max Weber Fellowship (2019–2020) He has held academic roles at the European University Institute, University of Tübingen, University of St. Gallen, and the University of Hamburg. His advising and teaching activities are highlighted through workshops and seminars aimed at improving students' presentation and negotiation skills.
Dr. Florence Chee is an Associate Professor at Loyola University Chicago's School of Communication, where she serves as Director of the Center for Digital Ethics and Policy (CDEP) and Founding Director of the Social & Interactive Media Lab (SIMLab). Her work bridges academic, industrial, and governmental sectors through research on digital technologies' social and ethical implications. Education : PhD in Communication (2012), MA in Communication (2006), and BA in Communication & Anthropology with Co-op from Simon Fraser University Che’s research focuses on the intersection of technology, culture, and ethics, examining artificial intelligence, games, social media, and mobile platforms. She advocates for inclusive design practices and investigates systemic barriers in digital industries. Her scholarly output spans ethics, game studies, and sociocultural impacts of technology. Her publications analyze topics like AI governance, platform economy dilemmas, and Korean gaming culture. Key themes include data privacy, diversity in tech, and informed consent frameworks, reflecting collaborations with institutions such as IAS-STS, Erasmus Mundus, and the United Nations 3C Roundtable on AI. Ernst-Mach Grant (Austria) Erasmus Mundus Visiting Scholar Award IDRC Research Award Multiple SFU Graduate Fellowships Che leads initiatives like SIMLab, fostering interdisciplinary exploration of digital phenomena. As an External Consultee to the Freedom Online Coalition's T-FAIR taskforce, she contributes to global AI policy dialogues, emphasizing ethical research practices and sociocultural accountability.
Mia Fischer is an Associate Professor in the Department of Communication at the University of Colorado Denver , with affiliate roles in the Women and Gender Studies program and the LGBTQ+ Faculty Assembly Committee. Her research bridges critical media studies , queer and transgender studies , sports studies , and surveillance studies , focusing on the intersection of gender, media, and power structures. PhD in Communication, University of Minnesota (2016) MA in Communication, College of Charleston (2010) BA in Communication, University of Mannheim (2008) Her groundbreaking book Terrorizing Gender examines how transgender visibility triggers conservative backlash through increased surveillance by the U.S. security state. Her recent projects analyze anti-trans legislation post-2020 within the context of white supremacy and anti-democratic movements . Fischer co-led the Denver Pen Pal Collaborative (2017–2021), advocating for incarcerated individuals through artistic expression. Key publication trends include critiques of anti-trans rhetoric in sports policy , military surveillance of transgender bodies, and media representations of LGBTQ+ activism. National Communication Association's 2020 Diamond Anniversary Book Award At CU Denver, Fischer serves as a critical voice for LGBTQ+ inclusion , offers DEI consulting , and teaches courses like Queer Media Studies and #BlackLivesMatter . Her office hours are available in person or via Zoom .
Nisha M. Fahey serves as an Assistant Professor at UMass Chan Medical School with dual appointments in the Department of Pediatrics and the Department of Population and Quantitative Health Sciences within the T.H. Chan School of Medicine. Her interdisciplinary work bridges clinical pediatrics with population health research, focusing on health disparities across diverse populations both domestically and internationally. Her academic credentials include: BA in Biology from Boston University MSc in Clinical Investigation from UMass Chan Medical School DO from Des Moines University of Osteopathic Medicine Dr. Fahey's research program demonstrates remarkable breadth while maintaining thematic coherence around health equity. She has established two major research streams: global health work in rural India examining maternal-child health and mental health issues, and infectious disease diagnostics research focused on SARS-CoV-2 testing strategies. Her Indian research has investigated Kangaroo Mother Care practices, caste-based discrimination, atrial fibrillation prevalence, and screen time usage among children. Her methodology often combines quantitative epidemiology with community-based participatory approaches to address health disparities in resource-limited settings. Analysis of her recent publications reveals a strategic pivot toward digital health solutions during the pandemic while maintaining her global health commitments. Her SARS-CoV-2 research has been particularly impactful, with multiple high-citation publications examining rapid antigen test performance across variants and populations. The Test Us At Home study and related biorepository work demonstrate methodological innovation in digital clinical trials. Her global health publications consistently address structural determinants of health, with particular attention to caste, gender, and rural-urban disparities in India. Dr. Fahey actively contributes to research training through initiatives like the RAHI-SATHI Indo-U.S. Collaboration, which evolved from a trainee-led twinning model into a comprehensive global health partnership. Her work mentoring junior researchers is evident in her numerous first-author publications with trainees and her adaptation of Helping Babies Breathe into virtual curriculum formats. She leads or contributes to multiple research teams including the Test Us Bank biorepository project and the SMART-India atrial fibrillation screening program. These initiatives showcase her ability to develop sustainable research infrastructure that addresses critical public health challenges through innovative, cross-disciplinary approaches.
PEPES EVANGELOS is an Assistant Professor at the Department of Social Theology and Christian Culture , School of Theology , Aristotle University of Thessaloniki . He teaches Christian Pedagogy , Educational Psychology , and Religious Education courses, with a focus on pedagogical methods and ethical integration in multicultural contexts. Research Interests Christian Pedagogy Didactics of Religious Education History of Religious Education ICT and Religious Education Religious Identity and Otherness Religious Tourism Scientific Output Trends His recent publications emphasize AI in education (ethics and pedagogy), religious literacy in Greece, bioethics (e.g., surrogacy), and peacebuilding through religious curricula. He explores intersections between Christian humanism and technology, and investigates historical educational policies in Greece and Western Thrace. Additional Roles He contributes to the department’s five institutionalized research laboratories, two thematic networks-centers, and interdisciplinary collaborations. His work often addresses public sphere engagement and teacher training for religious diversity.
David Guile is Professor in Education and Work at the UCL Institute of Education, University College London, where he serves as Co-Director of the Centre of Engineering Education and the Post 14 Centre for Education and Work. His academic career spans interdisciplinary research bridging education, work, and technology, with particular focus on the intersection of machine learning and vocational learning. Guile's research interests center on professional, vocational, and workplace learning, with specific emphasis on: The changing relationship between work, technology (particularly Machine Learning), and education Apprenticeship and internship models in the Creative sector The role of domain and practice-based knowledge in professional formation Interprofessional activity in Creative and Engineering sectors Conceptual frameworks for understanding expertise as "capacity for action" His recent scholarly output reveals a clear trajectory toward understanding the human-machine relationship in learning contexts, particularly through the lens of "recontextualization" theory. Guile's work increasingly examines how deep learning technologies transform workplace learning while maintaining focus on socio-cultural and material perspectives. His publications demonstrate interdisciplinary reach across education, engineering, anthropology, and computer science, with growing emphasis on AI's implications for vocational education. Guile has held significant leadership roles including Head of the Department of Education, Practice and Society (2013-2019) with 130 staff and £14 million annual turnover. He contributed to major research centers including the ESRC Research Centre - Learning and Life-Chances in Knowledge Economies and Societies (2007-2015) and supported the successful bid for the ESRC Research Centre - Centre for Global Higher Education. As an educator, Guile has developed innovative programs including the MSc Engineering Education with its specialized "AI, Work & Learning" module, which he currently leads. He also contributed to the BSc Sociology program at UCL, developing the "Workbased Project: Understanding Issues Sociologically and Developing Solutions" module. Guile serves as co-editor of the Brill Series "Education & the Knowledge Economy" and maintains editorial board positions for multiple journals including Vocations & Learning and the Journal of Vocational Education & Training.
