Nikolaos Tsiogkas is an Assistant Professor in the Declarative Languages and Artificial Intelligence (DTAI) group at KU Leuven's Faculty of Engineering Technology, Department of Computer Science. His research focuses on robotics, artificial intelligence, and autonomous systems, with particular emphasis on cognitive reasoning, knowledge representation, and sensor fusion for robotic navigation. Projects: Promotor of initiatives like 'Harnessing Robotics for Safe Agriculture' (2024-2028) and 'ROSANA: Robust Semantic Navigation in Orchards' (2022-2027); co-promotor in demining robotics and multi-arm manipulation research. Research: Combines symbolic AI with robotics, exploring knowledge graphs for explainable navigation, reinforcement learning frameworks, and computationally efficient free-space detection algorithms.
Dr. Yang Xing is a Senior Lecturer in Applied Artificial Intelligence for Engineering at Cranfield University's Centre for Autonomous and Cyberphysical Systems, where he also directs the HUMAX Lab focused on human-centered autonomous vehicle validation. He holds a PhD from Cranfield University (2018) and an MSc with Distinction in Control Systems from the University of Sheffield (2014). Previously, he was a Research Associate at the University of Oxford (2020-2021) and Research Fellow at Nanyang Technological University (2019-2020). His research centers on human-autonomy collaboration frameworks with four key pillars: Cognitive autonomous systems using trustworthy AI Computer vision for human behavior/intention modeling Multimodal foundation models for autonomous driving Deep learning for sustainable transportation systems His recent publications (2022-2025) demonstrate strong trends in AI-driven transportation research : 40% focus on trajectory prediction and behavior modeling, 30% on computer vision applications, 20% on human-AI collaboration frameworks, and 10% on energy optimization. Key thematic evolutions include increased use of transformer architectures, graph neural networks for interaction modeling, and simulation-to-real transfer learning. Awards and Honors: IEEE Outstanding Associate Editor Award (TNNLS 2023-2024) Best Paper Award, China National Intelligence Technology Conference 2019 IEEE Outstanding Service Award, Smart World Congress 2023 Best Workshop Paper, IEEE IV 2018 He currently advises PhD student Isa Ismail and has secured funding from the Royal Society, EPSRC, DSTL, SAAB, QinetiQ, and Thales. As lab director of HUMAX, he leads projects on human-AI teaming for autonomous systems.
Panagiotis Kyriakoulakos is an Assistant Professor in Computer Animation at the Department of Product and Systems Design Engineering, University of the Aegean. He previously served as Lecturer at the same department (2010-2018) and Adjunct Lecturer at Paris 1 University (1987-1992). His academic career spans over 35 years with expertise in digital arts, animation, and new media. Education: Electrical Engineering (Aristotle University of Thessaloniki), DEA in Cinema/Television (Paris I), PhD in Art Sciences (Paris X). Professional Experience: Managing Director at Post Reality (1994-2006), New Media Director at PLD Production (2006-2010), awarded SCAM (1991) and Chevalier des Palmes Academiques (2014). Research Focus: Creative processes in animation, digital aesthetics, interactive systems, and cultural heritage projects like ARCHEOGUIDE and HIST3D. His research explores intersections between technology and artistic expression, emphasizing entrepreneurship in creative industries. Key contributions include the first Greek 30-minute computer-animated TV special Alexandra Meets the Space Toons (2003) and the Homeweb VOD platform pilot (2010). Dr. Kyriakoulakos coordinates the XARTS International Conference/School since 2013 and leads the Interactive Systems Design Lab. His work bridges academic research with practical applications through projects like the HIST3D framework and Paris-based research grants (2013). Awards: SCAM Video Magazine Editor Award (1991), Paris Research Grant (2013), French Academic Palms (2014). Labs/Teams: Interactive Systems Design Lab (since 2000), XARTS Conference Leadership. Publications: Over 30 articles, 3 books including 70 Years of Greek Animation (2016) and foundational texts on animation techniques.
Dr. Emmanuel Stamatakis is a Senior Research Associate at the University of Cambridge, affiliated with the School of Clinical Medicine and the Division of Anaesthesia. He maintains research ties with the Centre for Speech, Language, and the Brain (CSLB) while focusing on neuroimaging, consciousness studies, and traumatic brain injury (TBI) mechanisms. Institution: University of Cambridge Primary Affiliation: School of Clinical Medicine, Division of Anaesthesia Research Affiliation: Centre for Speech, Language, and the Brain (CSLB) Academic Rank: Research Fellow His research spans neuroscience, neuroimaging, and anaesthesia, with particular emphasis on: Consciousness dynamics under pharmacological and pathological conditions Functional and structural brain connectivity in TBI and delirium Neural mechanisms of anaesthetic agents Evolutionary and comparative neuroscience of brain states Long-term outcomes after neurological trauma Neurotechnology applications in clinical settings Recent publications reveal trends in: Quantifying consciousness through functional gradients and harmonic decomposition Linking anaesthesia-induced neural changes to clinical outcomes Exploring genetic and inflammatory factors in TBI recovery Multi-modal imaging approaches to neurological disorders Translational studies bridging animal models and human conditions Methodological advancements in brain network analysis
Adam Kruse is an Associate Professor of Music Education at the University of Illinois Urbana-Champaign, affiliated with the College of Fine and Applied Arts and the School of Music. His work focuses on integrating hip-hop culture and music technology into school curricula. Kruse co-directs the Illinois Hip Hop Camp, Street College: Studio Saturdays, and the Hip Hop Innovation Center. He earned his Ph.D. from Michigan State University and degrees from Ball State University. His research explores hip-hop music learning and cultural engagements in educational settings, emphasizing equity and student-centered pedagogy. Kruse has received numerous awards, including the 2014 Outstanding Dissertation Award and the 2021 Campus Distinguished Promotion Award. His projects, such as the Hip Hop Xpress initiative, have secured grants addressing systemic inequities and received recognition for public engagement. Key research themes include cultural bias in music education, hip-hop authenticity, and the role of music technology in fostering inclusivity. Kruse frequently presents at conferences and publishes in leading journals, advocating for transformative approaches to music education.
Dr. Lauren Madden is a Professor of Elementary Science Education at The College of New Jersey's School of Education. She coordinates the undergraduate minor and graduate certificate in Environmental Sustainability Education, and has authored a textbook while publishing over 40 peer-reviewed journal articles, book chapters, and presentations. Ph.D., Science Education, North Carolina State University (2011) M.S., Marine Science, University of South Carolina (2004) B.A., Earth Science, University of New Hampshire (2002) Her research focuses on climate change education, environmental sustainability, and integrating arts into science pedagogy. She explores how teacher identity, classroom practices, and professional development shape science learning in PK-12 settings, particularly emphasizing equitable approaches and student self-efficacy. Dr. Madden's publications span climate science professional development, enclothed cognition effects on science identity (e.g., lab coat studies), and NGSS-aligned teaching strategies. Her work often involves collaborations with colleagues like Nathan Magee, Louise Ammentorp, and Graceanne Taylor, and addresses interdisciplinary methods for early childhood and K-8 educators. Outstanding Science Teacher Educator of the Year (2021, Association for Science Teacher Education) She has presented at numerous national and international conferences (NARST, AERA, NAAEE) and contributed to initiatives like New Jersey's statewide climate change education standards. Her teaching includes environmental science courses and clinical placements for teacher candidates.
W. Kendal Bushe is an Associate Professor at the Faculty of Applied Science , University of British Columbia , within the Department of Mechanical Engineering . His research focuses on turbulent combustion, numerical simulation, and computational fluid dynamics (CFD) with applications to internal combustion engines and thermal power generation. Developed the Conditional Source-term Estimation (CSE) method for turbulent combustion modeling. Conducted experimental studies on methane/natural gas ignition in engines. Expertise in Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) for reacting flows. Current projects involve autoignition modeling in HCCI engines using Stochastic Particle Models . Teaching Activities : Courses on heat transfer, energy conversion systems, computational fluid dynamics, combustion, and turbulent shear flows. Scientific Recognition : Fellow of the Combustion Institute.
Jason Poulos is a data scientist and researcher currently working at the intersection of machine learning, causal inference, and health policy. He holds a Ph.D. in Political Science from the University of California, Berkeley, with a designated emphasis in Computational Science and Engineering. His academic journey includes postdoctoral positions at Harvard Medical School's Department of Health Care Policy and Brigham and Women's Hospital. Dr. Poulos's research focuses on developing and applying machine learning methods to address challenges in complex, high-dimensional longitudinal health data. His work spans several interconnected areas including extending causal inference methods for multi-valued treatments, developing frameworks for adversarial machine learning, applying neural networks for health outcome prediction, and evaluating deep learning approaches for missing data imputation in survey data. His recent publications demonstrate expertise in targeted learning methodologies, particularly in observational studies with multi-level treatments, with applications in pharmacoepidemiology. His research output shows a consistent pattern of interdisciplinary work bridging political science, statistics, and health policy. The majority of his recent publications (2021-2024) appear in high-impact journals across biostatistics, political methodology, and machine learning domains, reflecting his ability to contribute to multiple academic communities. His work often employs advanced statistical techniques to address real-world policy questions, particularly in healthcare settings. As evidenced by his publications and research trajectory, Dr. Poulos has established himself as a methodological innovator in causal inference with multi-valued treatments, with particular expertise in applying these methods to evaluate the safety and effectiveness of antipsychotic medications. His work combines deep methodological rigor with practical policy applications.
Professor Ying Liu is a Professor and Chair in Intelligent Manufacturing at the School of Engineering, Cardiff University, UK, a position he has held since August 2021. He leads the High-value Manufacturing research group within the Department of Mechanical Engineering. Prior to this, he served as an Assistant Professor at the National University of Singapore (2010–2013) and the Hong Kong Polytechnic University (2006–2010). PhD, Innovation in Manufacturing Systems and Technology (IMST), Singapore-MIT Alliance (SMA), National University of Singapore (2006) MSc, Singapore-MIT Alliance (SMA), Nanyang Technological University (NTU) MEng & BEng, Mechanical Engineering, Chongqing University, China His research spans engineering informatics, digital and intelligent manufacturing, AI and machine learning in engineering design, and advanced ICT in manufacturing. He has published over 160 scholarly articles and contributed to major journals and conferences in the field. His recent work focuses on knowledge graphs, digital twins, human-robot collaboration, and energy modeling in smart manufacturing, often integrating large language models and advanced deep learning techniques. The most recent publications highlight a strong trend toward integrating AI, particularly large language models and knowledge graphs, into smart manufacturing systems. Themes include predictive maintenance, battery state estimation, human fatigue modeling, and sustainable manufacturing. His work increasingly emphasizes human-centric approaches aligned with Industry 5.0 principles. Best Paper Award 2022, CCF Transactions on Pervasive Computing and Interaction ESI Highly Cited Paper and Hot Paper, Research and Application of Machine Learning for Additive Manufacturing 2020 Reviewer of the Year, ASME Journal of Computing and Information Science in Engineering (JCISE) Professor Liu actively supervises postgraduate students and has advised several successful PhD candidates, including Dr. Chong Chen and Mr. Zhouyang Ding. His research is funded by major agencies such as EPSRC (UK), GRF (Hong Kong), MOE (Singapore), A*STAR, and NSF (China), as well as industrial partners. He serves as Associate Editor for ASME JCISE, IEEE T-ASE, and several other journals, and was recently appointed Senior Editor of the Journal of Engineering Design. He also leads special issues and topical collections on AI in engineering. He leads the High-value Manufacturing research group at Cardiff University, focusing on digital transformation in manufacturing. His team works on projects involving digital twins, knowledge graphs, and AI-driven design innovation, often in collaboration with international institutions.
Donald E. Brown is the W.S. Calcott Professor in the Systems and Information Engineering Department at the University of Virginia, serving as Founding Director of the Data Science Institute and Co-Director of the Translational Health Institute of Virginia. He holds a B.S. from the United States Military Academy (1973), M.S. and M.E. from UC Berkeley (1979), and a Ph.D. from the University of Michigan (1985). His research focuses on data fusion, knowledge discovery, and predictive modeling with applications in healthcare, security, and safety. Dr. Brown leads over 90 federal/state/private research projects, publishes extensively (120+ papers, 2 books), and is a Fellow of the IEEE. He has received prestigious awards including the Norbert Wiener Award and IEEE Millennium Medal. His work bridges academia and industry through Commonwealth Computer Research, Inc., providing data analysis services. He advises on national committees including the National Research Council and the NRC Committee on Transportation Security. His teaching excellence was recognized by students three times as 'best undergraduate teacher' (2001–2003). Research Interests: Data Fusion, Knowledge Discovery, Simulation Optimization, Machine Learning, Predictive Analytics Publications: Focus on healthcare analytics (e.g., Long COVID, tuberculosis, histopathology), AI-driven medical imaging (capsule endoscopy, eosinophil segmentation), and cybersecurity applications. Awards: IEEE Joseph Wohl Career Achievement Award (2017), Governor's Technology Award (1999), Norbert Wiener Award (2002). Grants/Projects: Over 90 funded projects on data science, healthcare tech, and security systems. He leads interdisciplinary initiatives like the iTHRIV Commons for health data sharing and develops AI tools for medical diagnostics at UVA. Current work includes AI in cardiovascular disease prediction, perioperative data digitization for LMICs, and real-time anomaly detection in healthcare systems.
Kirk Harris serves as Associate Professor of Political Science and Associate Dean of Global Programs at Susquehanna University, where he investigates citizen-state interactions in sub-Saharan Africa, focusing on service access mechanisms and political representation dynamics. His research also examines coalition-building strategies among politicians seeking power acquisition. Education: PHD, Indiana University BA, Whitworth College Research Interests: Harris specializes in comparative political systems with deep regional expertise in Africa, analyzing democratization trajectories and development politics through empirical studies of marginalized populations. His work bridges theoretical frameworks with practical governance challenges, emphasizing how citizens navigate bureaucratic structures to demand accountability. This research directly informs his teaching philosophy centered on cultivating globally competent problem-solvers. Teaching and Global Engagement: Harris teaches Comparative Government, International Studies, African Politics, Politics of Development, and Democratization courses, leveraging his field research to contextualize theoretical concepts. As Associate Dean of Global Programs, he designs international educational frameworks that prepare students for transnational career challenges through experiential learning models that mirror his own transformative undergraduate mentorship experiences. Advising and Mentorship: Harris implements a mentorship approach inspired by his Whitworth College professors, prioritizing skill development for cross-cultural professional environments. His advising philosophy focuses on translating academic knowledge into practical solutions for border-crossing challenges, preparing students for diverse career trajectories in global contexts through personalized guidance and real-world application opportunities.
Christian Keitel is an Honorary Professor for Archival Science and Digital Archiving at the University of Applied Sciences Potsdam. He works at the Landesarchiv Baden-Württemberg, where he has served since 2000, currently as Deputy Head of Department 2 (Specialized Programs and Educational Work). His research focuses on conceptual principles of conventional and digital archiving, DIMAG systems, certification of digital archives, authenticity of digital records, and cooperative learning processes in digital archiving. University of Applied Sciences Potsdam – Honorary Professor (2015–) Landesarchiv Baden-Württemberg – Deputy Head of Department (2011–), Senior Archivist (2000–) Keitel’s scholarly work emphasizes digital preservation, metadata standards, and long-term archive certification. His publications address challenges in trustworthiness of digital repositories, significant properties of electronic records, and collaborative digital archiving frameworks. He co-authored DIN standards 31644 and 31645 for trustworthy digital archives. Recent articles highlight his contributions to digital ingest workflows, metadata extraction, and municipal archive solutions. His work explores intersections between traditional archival principles and modern digital challenges, including authenticity verification, system development, and cross-institutional cooperation.
Davida Gavioli is a Senior Lecturer in Italian within the Department of Romance Languages and Literatures and affiliated with Italian Studies at Bowdoin College. She is based in Sills Hall and teaches courses in Italian language, 20th-century Italian literature and film, gender theory, and comparative women’s writing. Education: PhD in Italian and Comparative Literature, Pennsylvania State University Laurea in Foreign Languages and Literatures, University of Bergamo Her research focuses on feminist literary criticism, particularly the works of contemporary Italian women novelists, the literature of migration, and motherhood from a cross-cultural perspective. She explores the intersections between Italian, American, and French feminist thought and examines minority American and North African women writers. Her scholarship also addresses foreign language pedagogy and the integration of technology in language instruction. The analysis of her publications reveals a consistent engagement with maternal voice, female subjectivity, and gendered narratives in both Italian and Anglophone literature. Her work often centers on the recovery of women's perspectives in literary and historical contexts, particularly through feminist reinterpretations of maternal and intergenerational themes. Scientific Awards: No awards listed in the provided text. Davida Gavioli advises students in Italian studies and women’s literature. While specific grant funding is not mentioned, her scholarly contributions include chapters in academic reference works and peer-reviewed journals. She contributes to interdisciplinary conversations in gender studies and comparative literature. She is involved in the academic life of the Romance Languages and Literatures department, contributing to curriculum development in Italian studies and feminist literary theory. Her work supports the integration of global women’s voices into the literary canon and promotes innovative teaching methods in language education.
John M. Carroll is a Professor at The Pennsylvania State University , affiliated with the College of Information Sciences and Technology . He co-directs the Collaboration and Innovation Laboratory and leads the Center for Human-Computer Interaction . Secondary appointments span Computer Science and Engineering , Learning, Design and Technology , and Psychology . Education : Mathematics and Information Science (undergraduate), Experimental Psychology (Ph.D.) Research Focus : Human-Computer Interaction (HCI), community informatics, scenario-based design, and minimalist instructional models. Key Projects : Mobile timebanking systems, smart city initiatives, community data analytics, and accessibility technologies for visually impaired users. Scientific Awards include lifetime honors from ACM, IEEE, and AAAS. He has led NSF-funded projects on collaborative sensemaking, educational technology, and disaster response systems. His work bridges social theory, design practice, and computational innovation.
Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.
