Rob van Beers is an Assistant Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, with affiliations to Neurocontrol, IBBA, and AMS - Sports. His research focuses on human motor control, spatial perception, and computational modeling using Bayesian approaches to understand sensory-motor integration under uncertainty. He holds ancillary roles as a Researcher at Radboud University (Nijmegen) since 2015 and serves on the Editorial Board of the Journal of Neurophysiology since 2015. His work contributes to UN Sustainable Development Goals related to health and well-being. Key research interests include motor learning dynamics, sensorimotor adaptation, and the neural basis of spatial orientation. Recent studies explore Alzheimer’s impacts on motor adaptation and Bayesian inference in vestibular path integration. Teaching responsibilities include courses on linear systems dynamics, physical measurement techniques, and motor systems regulation. His work spans 42 peer-reviewed articles, with datasets published on platforms like Dryad and Zenodo.
Roberto Martinez-Maldonado is an Associate Professor in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. He holds a PhD in Human-Computer Interaction and Educational Data Mining from the University of Sydney. His research focuses on Learning Analytics, Artificial Intelligence in Education, and Collaborative Learning, with applications in healthcare and classroom settings. Prior to Monash, he worked at the Connected Intelligence Centre (CIC) and as a lecturer at the University of Technology, Sydney. His academic journey includes a Master's in Information Technology from Universidad Tecmilenio and a Bachelor's in Computer Systems Engineering from Instituto Tecnológico de Mérida. Key research projects include developing analytics dashboards for healthcare simulations, teamwork analytics for professional education, and AI-driven tools for reflective practice. His innovations include the HuCETA framework and the Data Storytelling editor, which enhance educational data visualization and teacher-student interaction. He has received multiple awards, including the 2022 Best Student Paper and 2020 Best Paper Award. His work contributes to UN Sustainable Development Goals related to quality education. He supervises PhD students in Multimodal Teamwork and Classroom Analytics. Roberto is actively involved in academic conferences, serving on program committees for LAK and AIED. Media engagements include ABC Radio interviews discussing classroom design and AI in education.
Mark Harris is a Professor at Monash University's School of Philosophical, Historical and International Studies (SOPHIS). His research focuses on historical anthropology, ethnohistory, and Latin American societies, particularly in the Amazon region. He has held academic positions in the UK, US, Brazil, and Australia, and his work emphasizes interdisciplinary approaches to Indigenous studies, colonialism, and decolonization. Education: PhD in Anthropology (London School of Economics and Political Science, 1998), BSc in Anthropology/Psychology (University of London). Research interests include the intersection of environment and society in Amazonian contexts, Indigenous knowledge systems, and transatlantic histories. Recent projects include studies on Brazilian Amazonian cultures and Jesuit documentary sources. He has contributed to over 30 research outputs since 1998, emphasizing riverine societies, seasonal rhythms, and Indigenous histories. Notable awards include the British Academy Postdoctoral Fellowship (1996), Phillip Leverhulme Prize (2004), and Warren Dean Memorial Prize (2011). His funded projects explore Indigenous experiences in Brazil and Australia, aiming to create socially responsible knowledge communities. Advising and grants focus on fostering global interdisciplinary collaboration. His work aligns with UN SDGs related to education and sustainable development, emphasizing socially responsible research practices.
Anand Mohan RAMCHAND is an Associate Professor (Educator Track) and Assistant Dean (Industry Relations) at the School of Computing (SOC), National University of Singapore (NUS). He also holds a Senior Lecturer position. With a Ph.D., M.Sc., and B.Sc. (Honours) in Information Systems/Computer Science from NUS, his research focuses on digital transformation, business model innovation, and IT-driven social change. He has received over 10 teaching awards and maintained the NUS Teaching Excellence Honour Roll from 2011-2016. Ph.D. (Information Systems, NUS, 2012) M.Sc. (Information Systems, NUS, 2004) B.Sc. (Computer Science & IS, NUS, 2001) His research explores digital enablement of organizations and social change through case studies in healthcare, libraries, and enterprise systems. Recent work examines clinical management systems, knowledge management communities, and ubiquitous computing impacts. His publications span healthcare informatics, organizational learning, and mobile technology trends in Asia. Awards highlight his teaching excellence across NUS faculty and university levels. He coordinates Advanced Topic Academic Program (ATAP)/Student Innovation Project (SIP) initiatives. His professional roles bridge academia-industry collaboration through SOC's strategic initiatives.
Dr. Marianne Mason is an Associate Professor of Translation/Interpreting Studies and Forensic Linguistics at James Madison University (JMU), where she also coordinates the SETI minor and contributes to Linguistics and Legal Studies programs. Holding a Ph.D. in Linguistics from the University of Georgia, along with a BBA in Statistics and an MA in Translation, her expertise spans interdisciplinary research areas including language and law, discourse analysis, and translation studies. She is a 2018–2019 ACLS Fellow for her project on linguistic analysis in the American justice system. Her research focuses on police-layperson interactions, Miranda rights invocation, and interpreter-mediated legal discourse. Notable works include Police Interrogation, Language, and the Law (Cambridge UP, 2024) and co-editing The Discourse of Police Interviews (U Chicago Press, 2020). She has provided expert testimony in criminal cases and serves on editorial boards for journals like Translation and Interpreting Studies . Educations: Ph.D. Linguistics, University of Georgia MA Translation, [institution not specified] BBA Production Management/Statistics, [institution not specified] Research Projects: ACLS-funded study on language in the American justice system Custodial interrogation reform analysis Affiliations: International Association for Forensic and Legal Linguistics National Association of Judiciary Interpreters & Translators (NAJIT)
Rainer Gemulla is a Professor of Practical Computer Science I: Data Analytics at the University of Mannheim, heading the Data and Web Science Group within the School of Business Informatics and Mathematics. He has been a W3-Professor at the University since 2014, following positions as a senior researcher at Max-Planck-Institut für Informatik (2010-2014) and postdoctoral researcher at IBM Almaden Research Center (2008-2010). His research focuses on machine learning with structured and semi-structured data, particularly knowledge graphs, and developing efficient systems for data-intensive processing. Professor Gemulla's research spans multiple areas including machine learning with structured data (relational data), machine learning with semi-structured data (multi-relational graphs), combining these approaches with unstructured knowledge (text), and developing efficient, scalable methods for data-intensive processing. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source software projects including LibKGE, DistKGE, and AdaPM. His recent publications show a strong trend toward knowledge graph embeddings, parameter server architectures, and efficient training methods. The research demonstrates increasing focus on scalability challenges in graph learning, with particular attention to hyperparameter optimization, dynamic resource allocation, and benchmarking methodologies. His work consistently addresses the practical challenges of implementing machine learning systems at scale. Distinguished Reviewer Award at SIGMOD, 2025 Distinguished PC Member Award at EDBT, 2023 Outstanding Reviewer Award at NeurIPS, 2021 Junior-Fellow of the Gesellschaft für Informatik (GI), 2013 IBM's 2011 Pat Goldberg Memorial best paper award Best paper of NIPS 2011 Biglearn workshop Professor Gemulla actively mentors PhD students and has supervised numerous successful doctoral candidates. His leadership extends to administrative roles including Head of examination board for MSc Business Informatics since 2017, and previously serving as Study dean of the WIM faculty (2016-2019) and CIO of University of Mannheim (2022-2024). His research is supported by grants including AWS in Education Research Grant Award (2013) and Google Focused Research Award (2011). The Data and Web Science Group develops multiple open-source software projects including LibKGE (knowledge graph embedding library), DistKGE (multi-GPU training), AdaPM (adaptive parameter manager), Lapse (parameter server), and various tools for information extraction and sequence mining. The group maintains active collaborations with industry partners and academic institutions worldwide, particularly in the areas of knowledge graph research and scalable machine learning systems.
Paolo Mastropietro is a Research Professor at the Institute for Research in Technology (IIT) of Comillas Pontifical University in Madrid. He holds a Master's degree from the University of Rome Tor Vergata (2009) and a PhD from Comillas University (2016), focusing on capacity remuneration mechanisms. His career includes private sector work in Italy and Spain, a UNV Project Officer role in Ethiopia (2011), and joining IIT in 2012 under the SETS Erasmus Mundus PhD program. Affiliations: IIT, School of Engineering (ICAI), Comillas Pontifical University Research Interests: Power sector regulation, security of supply, capacity remuneration mechanisms, regional markets, tariff design, and energy sustainability His research emphasizes regulatory frameworks for energy transition and decarbonization, with contributions on hydrogen markets, electricity storage, and demand response integration. Recent work includes analysis of EU market reforms, pandemic-related energy poverty measures, and capacity mechanisms in Latin America. Key projects include the EU-funded ONESYSTEM (2023–2028) and DEFINER (2022–2025) initiatives, focusing on energy system integration and demand flexibility. He advises on regulatory modernization in Peru, Colombia, and Panama, and has authored over 40 journal articles, books, and technical reports. Awards: 2015 ICER Distinguished Scholar Award, Iberdrola Scholarship (2020) Grants: Projects funded by MICIU, World Bank, European Commission, and others He supervises doctoral research, including P. Brito Pereira’s work on future-proof capacity mechanisms. His expertise spans international energy policy, with engagements at ACER and MIT, and contributions to energy transition strategies globally.
Katherine R. Jolluck is a Senior Lecturer in Modern East European History at the Department of History, Stanford University. She specializes in twentieth-century Eastern Europe and Russia, focusing on women and war, women in communist societies, the Soviet Gulag, nationalism, anti-Semitism, and human trafficking. Ph.D., Stanford University, East European and Russian History (1995) M.A., Stanford University, East European and Russian History (1990) B.A., Harvard University, Russian and Soviet Studies (1985) Her research integrates cultural history, gender and sexuality, race and ethnicity, and war studies. She has authored two seminal books: Gulag Voices (2010), analyzing Soviet incarceration through oral histories, and Exile and Identity (2002), exploring Polish women's experiences under Soviet occupation during WWII. Her work intersects with themes of forced migration, nationalism, and women's resilience. Katherine is actively engaged in public service, offering service-learning courses and collaborating with the Bay Area anti-trafficking community. Her teaching spans Stanford, the University of North Carolina at Chapel Hill, and the Naval Post-Graduate School in Monterey.
Chung-Hsing Yeh is an Associate Professor at Monash University's Faculty of Information Technology, Department of Data Science & AI. He holds a visiting professorship at National Cheng Kung University, Taiwan, and has extensive experience in academic roles including Chief Examiner and Lecturer for numerous IT and business-related courses. His research focuses on multicriteria decision analysis, applied artificial intelligence, fuzzy logic, neural networks, and sustainable operations management. He has led collaborative projects on e-waste recycling, supply chain optimization, and public health policy, funded by organizations like the Ministry of Science and Technology (Taiwan) and the Australian Research Council. Education: PhD in Operations Research/Information Systems, Monash University (1988) MSc in Management Science, National Cheng Kung University (1982) BSc (Engineering) in Industrial Design, National Cheng Kung University (1977) Research Interests: His work spans decision support systems, optimization modeling, transport research, and recycling operations. Notable contributions include algorithms for production scheduling, AI-driven solutions for healthcare, and sustainable e-waste management strategies. Awards: Listed in Marquis Who's Who in the World Listed in Who's Who in Finance and Industry Listed in Who's Who in Science and Engineering Grants & Projects: Led 6 major projects, including 'Maximizing E-waste Recycling Profitability' (2019–2020) and 'Smoke-Free Policy Effectiveness' (2007–2010). Active in grant review roles for ARC and the Netherlands Organisation for Scientific Research. Teaching: Overseeing courses such as Fundamentals of Artificial Intelligence, Business Intelligence Modelling, and Management Information Systems.
Stuart Kurtz is a Professor in Computer Science and the College at the University of Chicago, and serves as Master of the Physical Sciences Collegiate Division. He holds the endowed position of George and Elizabeth Yovovich Professor. His research focuses on theoretical computer science, including computational complexity theory, randomness in computation, type theory, and formal logic. He has contributed to foundational areas such as the Berman-Hartmanis Isomorphism Conjecture and the computational properties of random sets. Kurtz is affiliated with the Theoretical Computer Science and Programming Languages Groups at the University of Chicago. He has been recognized with the 2009 Quantrell Award for teaching excellence. His service roles include Director of Undergraduate Studies and Department Chair in Computer Science. He actively mentors Ph.D. students and has advised multiple graduates in complexity theory and related fields. His academic background includes a Mathematics Ph.D. from the University of Illinois, supervised by Carl Jockusch. He approaches type theory as an intersection of formal logic and functional programming. Research interests span measure-theoretic randomness, computational logic, and complexity class separations. His recent work explores connections between theoretical computer science and interdisciplinary fields like physics and statistics. In teaching, Kurtz has instructed courses such as Formal Language Theory, Discrete Mathematics, and Honors Intro Programming. His service contributions include roles in the Computation Institute and Toyota Technological Institute at Chicago. His lab affiliations and collaborative work reflect a strong commitment to advancing theoretical foundations in computer science.
Hao Liu is a researcher affiliated with institutions like Chinese Academy of Sciences , Beihang University , and Stanford University . His work spans Computer Science , Artificial Intelligence , and Robotics . Key affiliations: National Space Science Center (Beijing), School of Astronautics (Beihang), Key Laboratory of Pervasive Computing (Tsinghua) Research interests include Machine Learning , Image Processing , Graph Neural Networks , and Wireless Communication Optimization His recent publications focus on: Advanced control systems for fuzzy models Medical imaging via hyperspectral analysis Transformer-based approaches in NLP and vision Quantum-safe and edge computing protocols
Prof. Melanie Schienle is a Professor and Chair of Statistical Methods and Econometrics at the Department of Economics and Management, Karlsruhe Institute of Technology (KIT). She also holds a professorship in the Department of Mathematics at KIT since 2021. Her expertise spans statistical methods, econometrics, financial risk analysis, and forecasting. She leads the HKMetrics Network and the RespiNow Hub for respiratory disease forecasting. She serves as a Senior Fellow at the Rimini Center for Economic Analysis (RCEA), a steering committee member of the German Economic Association, and a member of the University Research Council at KIT. Education: Ph.D. (Dr. rer. pol.) in Economics from Mannheim University (2008), summa cum laude; Diploma in Mathematics (University of Karlsruhe, 2003) with a minor in theoretical physics. She has held academic positions at Leibniz University Hannover (2012–2015) and Humboldt University of Berlin (2008–2012). Research interests focus on financial networks, systemic risk, time series analysis, and machine learning applications in economics. She co-leads projects on nowcasting and forecasting, including collaborative efforts during the pandemic to predict hospitalizations. Her work integrates advanced statistical techniques with real-world policy implications. Prof. Schienle is an Associate Editor for the International Journal of Forecasting and Journal of Time Series Analysis . She has authored over 50 peer-reviewed publications and contributed to high-impact journals like Nature Communications and Journal of Business & Economic Statistics . She leads the Institute of Statistics at KIT and chairs the MathSEE initiative for interdisciplinary mathematical applications.
Professor Paul Black is a distinguished academic at King's College London, affiliated with the School of Education, Communication & Society and the Centre for Research in Education in Science, Technology, Engineering & Mathematics (CRESTEM). His career has centered on advancing educational assessment and pedagogy, particularly in STEM disciplines. He is renowned for pioneering formative assessment strategies that integrate learning and evaluation to enhance student outcomes. Research Interests: Black's work explores how teacher-led assessments can drive classroom innovation, emphasizing the synergy between formative and summative methods. His contributions address global educational challenges, including standardization debates and the equitable implementation of assessment frameworks. Key Article Trends: His publications from 2013–2020 highlight themes like ethical assessment practices, the historical impact of formative assessment, and bridging theory-practice gaps in STEM education. Recent works underscore the adaptability of assessment strategies in diverse cultural and linguistic contexts. Professional Impact: The 2023 book 'Educational Assessment: The Influence of Paul Black on Research, Pedagogy and Practice' documents his legacy, noting his influence on scholars worldwide. His ideas have informed policy responses to crises like pandemic-related exam cancellations. Advising & Grants: While specific grants or advisees are not detailed here, his work reflects collaborative research with educators and policy experts. The CRESTEM centre serves as a hub for advancing his vision of holistic educational reform.
Paolo Papotti is an Associate Professor of Computer Science at EURECOM (France) since 2017, affiliated with the Data Science department. Previously, he was a senior scientist at QCRI (Qatar) and an assistant professor at Arizona State University (USA). He earned his PhD in Computer Science from the University of Roma Tre (Italy) in 2007, following an MEng in Computer Engineering from the same institution in 2003. His research focuses on scalable data management, data integration, data cleaning, and computational fact-checking. Notable contributions include work on knowledge graph rule discovery (Rudik), fact-checking frameworks (Scrutinizer), and data quality systems. His research has been supported by awards such as the 2020 Google Faculty Research Fellowship. Key publications include advancements in table representation learning, LLM-based data querying, and crowdsourced fact-checking validation. His work spans theoretical foundations and practical tools for improving data quality and information trustworthiness.
Gaston Bacquet is a Lecturer in Education Studies at the University of Glasgow's School of Education, specializing in Culture, Literacies, Inclusion & Pedagogy. A Chilean teacher trainer and educator based in Scotland, he also holds qualifications as a meditation and yoga instructor. With extensive international teaching experience across K-12 and higher education systems in Chile, Japan, Saudi Arabia, Myanmar, the US, and UK, his work bridges practical pedagogy and theoretical innovation. His educational background includes a DipTESOL from Trinity College London, an MA in TESOL from the Institute of Education (UCL), and a PhD in Education from the University of Glasgow. Bacquet currently teaches in the MSc/MEd Education Studies program and leads the undergraduate Asian Religions course, while supervising dissertation students across the School of Education. Research interests center on nonviolence as transformative educational practice, with emphases on decolonial approaches, contemplative pedagogy, and inclusion of minoritized groups. His work integrates Buddhist philosophy, indigenous wisdom traditions, and international perspectives to challenge Western epistemological dominance. Key methodological commitments include participatory action research and qualitative approaches that prioritize community voices. Recent publications reveal evolving trajectories from language education toward decolonial nonviolence frameworks, with increasing focus on Global South contexts, indigenous knowledge systems, and teacher preparation. His 2024-2025 work shows intensified engagement with Buddhist-Christian dialogue, indigenous contributions to peace education, and practical applications of nonviolence in classroom power structures. As a supervisor, Bacquet mentors Master's students in inclusion, nonviolence, and educational ethics, welcoming PhD proposals aligned with his research interests. His professional activities span editorial roles with Cogent Arts and Humanities and SAGE Open , alongside active participation in international scholarly networks including the Comparative and International Educational Society and the European Network for Buddhist-Christian Studies. Professional affiliations reflect his interdisciplinary reach: British Educational Research Association (2021-present), American Educational Research Association (2022-present), International Society for Contemplative Research (2023-present), and the International Society for the Scholarship of Teaching and Learning (2025-present). His conference presentations consistently address nonviolence pedagogy, decolonial curriculum development, and participatory research ethics across global contexts from Chile to New Zealand.
