Christopher Mark Wessinger is a PartTime Lecturer in liberal arts at Savannah College of Art and Design (SCAD) eLearning. With a Ph.D. in neuroscience, he researches blindsight, auditory processing, and dyslexia. He has taught psychology/neuroscience at 10+ institutions since 2001, including Dartmouth College and University of Phoenix. Recent publications analyze student behavior and standardized stimuli for psychology research. Research trends: 40% of articles focus on visual neuroscience (blindsight, residual vision), 30% on auditory processing, and 20% on methodological contributions. Earlier work pioneered fMRI/PET studies of sensory systems.
Dr. Alison Schinkel-Ivy is an Associate Professor at Nipissing University's Schulich School of Education within the Faculty of Education and Professional Studies. She holds a BHK and MHK from the University of Windsor and a PhD from York University. Her research specializes in biomechanics, focusing on movement characteristics in older adults across the lifespan. She investigates interactions between age, psychological factors (fear of falling, balance confidence), cognitive loading, and environmental conditions on movement strategies and their relationship to falls and injuries. Her research examines gait, balance, and postural stability during aging and post-stroke recovery, using perturbation-based training and biomechanical assessments. Recent work explores dynamic postural control, treadmill gait adaptations, and reactive balance interventions in clinical populations. Schinkel-Ivy's publications demonstrate consistent focus on quantifying movement impairments and developing rehabilitation strategies through advanced motion analysis techniques and cross-sectional studies.
Eelon Lappalainen is a Postdoctoral Researcher at Aalto University's Department of Civil Engineering, focusing on construction management and design processes. His work bridges civil engineering with innovative digital systems, emphasizing situational awareness in infrastructure projects. He contributes to the UN Sustainable Development Goals through research on sustainable design and lean construction practices. Research interests include digital visual management systems, design process optimization, and decision-making models in construction. His studies explore challenges faced by self-managed teams and the impact of technology adoption on project outcomes. Key projects like the 'Building 2030' initiative investigate process improvement and sustainability in construction workflows. Publications highlight themes such as design manager perspectives on situational awareness, user experiences with digital systems, and empowerment in self-managed work environments. Collaborative efforts with industry partners emphasize practical applications of research findings.
Prof. Jan-Willem Strijbos is a Full Professor in the Department of Educational Science at the University of Groningen's Faculty of Behavioural and Social Sciences. His research focuses on Assessment and Feedback, Technology-Enhanced Learning, Collaborative Learning, and Peer Feedback mechanisms. He holds a position on the Scientific Board of Computers in Human Behavior and contributes to educational innovation through projects like GION (Groningen Institute for Educational Research). His work emphasizes improving educational practice through empirical studies on feedback dialogues, communities of practice, and instructional design. Recent studies explore digital tools' impact on learning, peer assessment validity, and cognitive processing during feedback interactions. Teaching responsibilities include courses like Learning in Human Interaction and Learning in Interaction with Artefacts at the Master’s level, and supervision of BSc/MSc theses and PhD candidates. Publications highlight methodological advancements in feedback analysis, meta-analyses of instructional strategies, and cross-cultural studies on multilingual education. Collaborations span institutions globally, addressing challenges in teacher training and medical education through mixed-methods approaches.
Gary A. Troia is a Professor in the Department of Counseling, Educational Psychology and Special Education at Michigan State University (MSU), within the College of Education. He holds a Ph.D. from the University of Maryland (2000) and has over a decade of experience as a special educator and speech-language pathologist in public schools, plus six years as a university clinical supervisor. His research focuses on writing instruction, assessment, and intervention for students with disabilities, particularly in special education and educational psychology contexts. Troia co-edits the Topics in Language Disorders journal and sits on multiple editorial boards. His work emphasizes evidence-based practices in writing instruction, including strategy development, motivation, and the intersection of language disorders with literacy skills. Recent studies address writing motivation in children, cross-cultural analyses of literacy in Oman, and the effectiveness of interventions like the Writing Architect program. He explores systemic issues such as state standards alignment, teacher efficacy, and the impact of pragmatic language skills on writing outcomes. Troia’s research often bridges theory and practice, advocating for inclusive educational practices and transparent research methodologies. His contributions span K-12 and university levels, with a focus on improving outcomes for students with disabilities through rigorous assessment tools and pedagogical innovations.
Professor Anthony Mathur is a leading academic and clinician at Queen Mary University of London's Faculty of Medicine and Dentistry, heading the Centre for Cardiovascular Medicine and Devices. His dual focus includes clinical work as Clinical Director for Interventional Cardiology at Barts Health and translational research in biologics (e.g., stem cells, gene therapy) and cardiovascular device innovation. He chairs key professional groups like the ESC Task Force on Stem Cells and leads the Cardiovascular Devices Hub (CVDHub), which bridges academia, industry, and clinical practice to develop novel devices. His research emphasizes first-in-man trials, digital technologies (e.g., avatars), and AI-driven solutions for cardiovascular care. Research interests span stem cell therapy for heart failure/angina, advanced cardiac imaging (e.g., Cardiac CMR), and interventional cardiology techniques. He collaborates with institutions like Yale and UCL on clinical trials, including a Phase III study on cell therapy post-myocardial infarction. Key sponsors include the National Institute for Health and Care Research and British Heart Foundation. Publications highlight contributions to coronary plaque analysis, device success algorithms, and hypertension risk stratification. His leadership roles and industry collaborations reflect a commitment to bridging research and clinical practice, with a focus on innovative treatments for unmet cardiovascular needs.
Prof. Dr. Doris Holzberger is a Professor of Psychology of Teaching and Learning at the Technical University of Munich (TUM), within the TUM School of Social Sciences and Technology. Her research bridges educational psychology and empirical education research, focusing on learning dynamics, teacher development, and leveraging technology to enhance instructional quality. She holds a PhD from Goethe University Frankfurt (2013) and completed her habilitation at TUM in 2021. Prior roles include postdoctoral work at the State Institute for School Quality and Educational Research (Munich) and a visiting research position at Brown University (2018). Her career highlights include leadership of the Research Synthesis Working Group at ZIB and contributions to projects like COSIMA. Key research interests span teacher self-efficacy, instructional quality, and the role of school context in education. Awards include the 2023 Prize for Interdisciplinary Research in Education and the 2021 Outstanding Reviewer Award from AERA. Holzberger has published extensively on topics such as teacher development, educational technology, and meta-analyses of instructional strategies. She actively collaborates with policymakers and educators to translate research into practice, emphasizing evidence-based approaches to reduce educational inequities and foster student potential.
ZHAO Hui serves as a post-doctoral Research Fellow at EURECOM's Communication Systems Department, actively contributing to cutting-edge research in wireless communications. With recent publications extending through June 2025, Dr. Zhao maintains an active research profile focusing on theoretical and practical aspects of next-generation wireless systems. Dr. Zhao's research spans several interconnected domains within wireless communications, with particular emphasis on coded caching techniques , satellite communication systems , and MIMO technologies . The work demonstrates sophisticated mathematical analysis of wireless channel characteristics, with specific attention to stochastic modeling of satellite networks , physical layer security mechanisms , and resource allocation optimization . Recent publications show increasing focus on near-field communications and semantic communications , reflecting the evolution of 6G research directions. The research methodology combines theoretical analysis with practical implementation considerations, often addressing real-world constraints in wireless network design. Among notable recognitions, Dr. Zhao was selected as a Best Student Paper Finalist at the ACSSC 2021 conference, one of only eight papers chosen from the total submissions. This recognition highlights the quality and innovation of the research contributions in the field of wireless communications. Dr. Zhao actively collaborates with researchers including Dirk Slock, Petros Elia, and Antonio Bazco-Nogueras, suggesting participation in a well-established research group focusing on information theory and wireless communications. The consistent publication record across top-tier IEEE journals and conferences indicates successful grant funding and institutional support for this research line.
Elias Entrup is a Researcher in the Visual Analytics group at TIB – Leibniz Information Centre for Science and Technology, affiliated with Leibniz University Hannover. His work focuses on developing computational methods for scholarly communication, with expertise in natural language processing and bibliometrics. Research Focus: Entrup's research centers on enhancing academic publishing through machine learning. Key areas include: Journal recommendation systems (e.g., the B!SON tool for open-access venues) Analysis of editorial decisions and journal characteristics Cross-domain NLP for scholarly text classification Bibliometric pattern extraction Publication Trends: His recent work (2022-2024) demonstrates consistent focus on NLP-driven solutions for academic publishing, particularly journal recommendation algorithms and scholarly text analysis. Research combines machine learning with bibliometric analysis to address challenges in open-access publishing. Team Affiliation: Contributes to the Visual Analytics research group at TIB, collaborating on projects involving scholarly data processing, NLP, and digital library tools.
Marie-Pier Morin is a full professor at the Faculty of Education , University of Sherbrooke. She serves as co-responsible for the Bachelor's program in preschool and primary teaching, and oversees Master's (ME/DESS) programs. Her research bridges mathematics, science, and technology education. Education: B.Éd. (Adaptation Scolaire), University of Sherbrooke; M.A. (Sciences de l’éducation), University of Sherbrooke; Ph.D. (Sciences de l’éducation, Didactics), University of Montreal. Her research focuses on mathematical problem-solving in primary education, didactic management of classroom challenges, interdisciplinary integration of mathematics, science, and technology (MST), and technology-enhanced math instruction. Recent work explores support systems for students with learning difficulties and collaborative teaching practices. Her publications and presentations highlight innovative approaches to mathematics education, including snowflake geometry and gamified probability learning. She actively engages in international conferences like EMF, CIEAEM, and AMQ, and collaborates on curriculum analysis projects.
Prof. Dr. Katharina Loibl is a full Professor (W3) for Interdisciplinary Teaching and Learning Research at the Institute of Psychology, University of Education Freiburg. She serves as the Executive Director of the Freiburg Advanced Center of Education (FACE) and co-founder of the Center of Interdisciplinary Research on Digital Education (CIRDE). Her research focuses on instructional design, learning from errors, problem-solving prior to instruction (PS-I), diagnostic reasoning in teachers, and Bayesian cognition in educational settings. University of Education Freiburg – Department of Interdisciplinary Teaching and Learning Research Co-leader of DFG-funded projects on adaptive instruction and digital education Dr. Loibl’s research explores how pre-instructional problem-solving phases (PS-I) enhance conceptual understanding and transfer. She investigates cognitive processes in teacher diagnostics, error processing in mathematics and physical education, and adaptive learning environments using digital tools. Her work bridges cognitive science and educational practice, particularly in mathematics and motor skills development. Recent publications emphasize PS-I frameworks (CID model), Bayesian reasoning in teacher diagnostics, and digital education mechanisms. Awards include the ISLS Early Career Award (2020/21) and multiple DFG grants. She supervises theses on PS-I applications in physical education and digital cognition, though specific student names are not listed. Early Career Award (ISLS) 2020/21 Wilhelm-Hollenberg Dissertationspreis 2014 Best Student Paper Award (CSCL) 2013 Nachwuchswissenschaftlerpreis (PAEPS) 2011 Dr. Loibl leads collaborative projects like the DFG network on PS-I mechanisms and the Baden-Württemberg-funded Di.ge.LL Kolleg for digital didactics. She co-ordinates the Freiburg Advanced Center of Education (FACE) and integrates data literacy through initiatives like the Future Teaching Lab.
Dr. Jackie L. Gartner-Schmidt is a Professor at Carlow University, serving in the Department of Speech-Language Pathology within the College of Health and Wellness in Pittsburgh, PA. Previously, she held leadership roles at the University of Pittsburgh Voice Center and University of Pittsburgh Medical Center for 20 years. Educational background: PhD in Communication Sciences and Disorders (University of Maryland, 2003), Clinical Fellowship at Vanderbilt University (1995), MA in Audiology & Speech Sciences (Michigan State, 1994), and BA in Psychology & Vocal Performance (Queen’s University, 1989). Her 30-year research focuses on vocal health , voice assessment and treatment , upper airway disorders , and stuttering , with extensive NIH-funded clinical research on voice therapy programs and seven validated patient-reported outcome measures. Article trends show consistent work on voice therapy specification systems , masked speech analysis , acoustic/aerodynamic measures , and patient experience across voice disorders. Scientific awards: American Speech-Language-Hearing Association Fellowship Award 2nd place, European Phoniatrics Voice Award (2016) Journal of Voice Best Paper Award (2008) As a TEDx speaker and clinical researcher, she emphasizes experiential learning , universal design principles , and one-on-one mentoring in her teaching of voice, swallowing, and stuttering courses. She supervises students in Carlow’s pro-bono SLP Clinic voice specialty area.
Fiorenzo Franceschini is a Full Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He has been a faculty member since 2000 and has taught Quality Engineering since 1997. He previously served as Head of the Department of Management and Production Engineering from 2007 to 2015 and is currently a Member of the Academic Senate and the Permanent University Observatory for monitoring the academic supply chain. Dr. Franceschini's research focuses on Quality Engineering, Performance Measurement Systems, Manufacturing, Industrial Metrology, and Informetrics. His work bridges theoretical quality management principles with practical industrial applications, particularly in human-robot collaboration systems. He has developed innovative approaches for quality measurement, assembly complexity modeling, and bibliometric database assessment. His recent publications demonstrate a strong focus on human-robot collaboration in manufacturing, with numerous articles on complexity modeling, gamification in manufacturing, and assessment methodologies for collaborative robotic systems. His work spans both theoretical contributions to quality engineering frameworks and practical applications in industrial settings. Senior Member of ASQ (American Society for Quality) Full Member of INFORMS (The Institute for Operations Research and Management Sciences) Editorial Board Member of INTERNATIONAL JOURNAL OF LEAN SIX SIGMA (2021-) Editorial Board Member of PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART B, JOURNAL OF ENGINEERING MANUFACTURE (2008-) Editorial Board Member of INTERNATIONAL JOURNAL OF SERVICES AND OPERATIONS MANAGEMENT (2006-) Editorial Board Member of QUALITY ENGINEERING (2000-2008) Editorial Board Member of INTERNATIONAL JOURNAL OF QUALITY AND RELIABILITY MANAGEMENT (2000-) Dr. Franceschini actively supervises PhD students in Management, Production, and Design, with current advisees including Aurora Sofia Di Matteo, Lucrezia Ferrara, Mirco Bartolomei, Giovanna Carrera, and Matteo Capponi. He coordinates multiple quality-related research projects for public and private organizations. His research group focuses on Quality Engineering applications across various industrial sectors, with particular emphasis on metrology systems, performance measurement, and human-robot collaborative systems.
Cristina Conati is a Professor at the University of British Columbia, Canada, with an extensive research portfolio spanning artificial intelligence, human-computer interaction, and educational technology. Her work focuses on developing intelligent systems that adapt to user characteristics and behaviors, particularly through the analysis of eye-tracking data and other implicit user signals. Her research interests include user-adaptive visualizations, intelligent tutoring systems, explainable AI, and eye-tracking analysis. She investigates how AI can be used to personalize user experiences, particularly in educational contexts, by modeling user cognitive abilities, emotional states, and learning behaviors. Her work often bridges theoretical AI research with practical applications in education and decision support. Analysis of her recent publications (2023-2025) shows a strong focus on explainable AI in educational contexts, adaptive visualization techniques, and the use of eye-tracking to understand and support user interactions. Her research demonstrates a consistent trajectory toward making AI systems more transparent, adaptive, and effective for diverse users across various domains including education, healthcare, and decision-making. Extensive work on user modeling through eye-tracking data Development of adaptive visualization techniques Research on explainable AI for educational applications Studies on how individual differences affect user-system interaction Her research has significant implications for designing more effective educational technologies, decision support systems, and user interfaces that can adapt to individual user needs and characteristics. She has been instrumental in advancing the field of user-adaptive interfaces through both theoretical contributions and practical implementations.
Professor John Robb (University of Cambridge, Department of Archaeology) specializes in European prehistory with a focus on Neolithic and Bronze Age Mediterranean archaeology, human skeletal studies, and material culture theory. His work bridges archaeological theory and empirical research through interdisciplinary projects. PhD in Anthropological Archaeology, University of Michigan (1995) B.A. in Medieval English Literature, University of Chicago (1983) Research Themes : Long-term social history through material culture temporalities Non-essentialist gender systems in prehistoric Europe Osteoarchaeological approaches to social relations Ontological interpretations of bodily representations Publication Trends : His recent work (2013-2020) examines: Temporal material qualities in social contexts Contextual gender models in Neolithic Europe Deep-time analysis of European art traditions Osteobiographical methods in skeletal analysis Honors : Fellow of the University of Cambridge (2015) Projects : Director of Bova Marina field project (Calabria, Italy) Co-director of After the Plague project (medieval Cambridge)
