Szegletes Luca is a Senior Lecturer at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics as part of the Applied Mobile Research Group (AMORG). Her research spans multiple interdisciplinary domains, focusing primarily on integrating machine learning techniques with biofeedback systems. Her work demonstrates expertise in diffusion probabilistic models for EEG signal processing, deep learning applications in embedded systems, and reinforcement learning frameworks. She has pioneered methods for physiological data analysis, including blood pressure measurement and face anonymization in low-power environments. Notable research contributions include adaptive educational game frameworks, cognitive profiling systems, and biofeedback-driven difficulty control mechanisms. Her publications reflect a strong focus on bridging computational methods with cognitive science and biomedical applications.
Prof. Dr. Jan vom Brocke holds the Chair of Information Systems and Business Process Management at the University of Münster. He is also Director of ERCIS (European Research Center for Information Systems), a Visiting Professor at the University of Liechtenstein, and holds multiple fellowships including AIS Fellow , MIT CISR Research Fellow , and Schoeller Senior Fellow . Academic Background: Habilitation (venia legendi) – 2002–2007 Doctorate (Dr. rer. pol.) – 1998–2002 Diploma in Business Information Systems – 1992–1998 Research Focus: His work bridges Business Process Management with Digital Transformation , Green BPM , and Design Science Research . He explores how AI, blockchain, and IoT reshape organizational processes and sustainability strategies, with publications in journals like MIS Quarterly , Information Systems Research , and European Journal of Information Systems . Scientific Awards: AIS Fellow Academic Research Fellow at MIT CISR Fellow of ESCP Center for Design Science in Entrepreneurship Schoeller Senior Fellow at FAU Distinguished Professor at NUI Maynooth Teaching & Global Impact: He has taught at University of St. Gallen (Switzerland) and Smurfit School (Ireland), and supports educational initiatives in Ethiopia. His ERCIS leadership enables collaborations with industry leaders like SAP and Siemens.
Dr. Jack Janetzki is a Lecturer in Pharmacy and Pharmacology at the University of South Australia, specifically within the UniSA Clinical & Health Sciences school. He completed both his Bachelor of Pharmacy (Honours) and Doctor of Philosophy at UniSA, graduating with his PhD in 2023. As a credentialed pharmacist, he maintains active clinical practice across both rural Victoria and urban/rural South Australia, providing Home Medicine Reviews, Residential Medication Management Reviews, and serving as a vaccinating and prescribing pharmacist. Dr. Janetzki's educational background includes: PhD from University of South Australia (2023) Bachelor of Pharmacy (Honours) from University of South Australia His research focuses on medication safety through an integrated approach examining adverse drug events at both molecular and population levels. Using molecular modeling strategies alongside real-world data analysis, he investigates drug-target interactions and population-level adverse event risks. A significant portion of his work examines medicine utilization patterns, particularly during shortages, and sequential treatment patterns. Dr. Janetzki is an active member of the Quality Use of Medicines and Pharmacy Research Centre (QUMPRC) at UniSA, contributing to numerous studies on medication safety and utilization. His recent publications demonstrate expertise across multiple domains of pharmacy practice, with particular emphasis on medicine shortages, pharmacovigilance, medication safety in mental health, and pharmacy education. His work often employs pharmacoepidemiological methods to analyze Pharmaceutical Benefits Scheme data and other large datasets. Dr. Janetzki has received recognition for his contributions to pharmacy practice, serving on the Local Advisory Committee for Pharmaceutical Defence Limited, a not-for-profit organization supporting pharmacists with risk management advice. He also co-hosts the popular pharmacology educational Instagram page 'jbpharmacology' with colleague Wern Chai, demonstrating his commitment to innovative knowledge dissemination. As an educator, Dr. Janetzki coordinates several key courses including Fundamentals of Pharmacology, Pharmacy Practice Health Services Provision, Managing and Developing Pharmacy Operations, and Pharmacy Healthcare Services. He teaches across all year levels in Pharmacy Practice courses, bringing his real-world clinical experience into the classroom to enhance student learning. His educational research examines effective teaching methods in pharmacology, particularly for health professional students beyond pharmacy.
Alberto Crescentini is a Teacher-Researcher at the Department of Education and Learning of the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), where he works within the Competence Centre for Innovation and Research on Education Systems (CIRSE). He has been affiliated with SUPSI since 2010 as a researcher, and has collaborated with the institution since 2005. His work focuses on educational research, particularly in the areas of standardized testing, teacher well-being, and inclusive education. Dr. Crescentini holds a PhD in Social and Developmental Psychology from the Catholic University of Milan, along with a Master's Degree with honors in Social Psychology and a Master's Degree in Sport Psychology. He has also completed training at the Graduate School of Psychotherapy. His research interests span educational assessment systems, teacher well-being and burnout prevention, inclusive education practices, and qualitative research methodologies. He has led numerous research projects evaluating educational policies and practices in the Ticino region of Switzerland, with a particular focus on standardized testing in compulsory education and strategies to address teacher burnout through organizational identification and social support systems. Dr. Crescentini's work shows a consistent focus on practical applications of educational research to improve teaching practices and student outcomes. His recent publications examine standardized testing frameworks, transitions after technical education, and interventions to address teacher burnout through organizational identification and social support systems. Member of the International PhD course in Organizational Psychology at the University of Verona Coordinator of the SIPLO working group on Work-Related Stress Former member of the board of directors of the Swiss Society for Research in Education As an educator, Dr. Crescentini has taught Relationship Psychology at the Faculty of Economics at the Catholic University of Milan and Qualitative Research Techniques in the Doctoral Program in Work Psychology at the University of Verona. He has also conducted methodology courses at doctoral programs across multiple Italian universities including Milan, Bologna, Rome, Turin, and Lugano. His current research projects include monitoring standardized testing in compulsory education, evaluating inclusive education measures, and studying teacher well-being conditions in Ticino schools through 2025.
Alberto Sánchez Sixto is an Associate Professor at Universidad Pablo de Olavide, affiliated with the Department of Sports and Information Technology. His research focuses on biomechanics, sports performance, and physical education within the AFSD (Physical Activity, Health and Sport) research group. He earned his PhD in 2018 with the thesis 'The relevance of countermovement depth in vertical jump performance' under Dr. Pablo Floría. Born: February 1, 1989, in Cádiz, Spain Academic Rank: Associate Professor Research Areas: Biomechanics, Sports Performance, Physical Education Email: asansix@upo.es His research spans biomechanics, sports physiology, and training methodologies. Recent publications examine flywheel training validation, muscle oxygenation in squats, joint movement patterns in runners, and the impact of verbal instructions on basketball players' reactive strength. He also explores social media applications (e.g., Instagram) in university education. As a professional basketball referee in Spain's ACB League since 2017, his work uniquely bridges academic research and practical sports officiating. His studies on physical activity monitoring, velocity-based resistance training, and gait coordination variability contribute to both athletic performance optimization and referee workload analysis.
David Samson is an Associate Professor of Evolutionary Anthropology at the University of Toronto Mississauga (UTM) and Director of the Sleep and Human Evolution Lab (SHEL). His research investigates the evolutionary significance of sleep in primates and humans, focusing on its role in cognition, sociality, and group dynamics. He bridges evolutionary anthropology with contemporary issues in health and societal development. Education: PhD from Indiana University; Postdoctoral Fellowship at Duke University. Samson’s work spans comparative sleep studies across lemurs, chimpanzees, and human societies, revealing evolutionary adaptations in sleep patterns and their implications for modern human wellness. His recent publications explore sleep sentinel theory, lunar effects on sleep, and cognitive performance in primates. Scientific Awards: Canadian Sleep Society Roger Broughton Young Investigator Award (2019) Sigma Xi: The Scientific Research Society membership Fellowships As a public intellectual, Samson connects evolutionary theory with practical applications in mental immunity and tribal dynamics through his book Our Tribal Future and the Tribe Drive Newsletter.
Francisco Tomás González Fernández is a Professor at the Department of Physical Education and Sports within the Faculty of Education and Sports Sciences Melilla. He coordinates the Double Degree in Primary Education and Physical Activity and Sports Sciences. His academic responsibilities include regular tutoring sessions held in Office 007 during both semesters. His research focuses on sports science, exercise physiology, and physical education pedagogy, with emphasis on: Effects of physical activity on cognitive function across age groups Performance analysis and injury prevention in soccer Youth athlete development and training methodologies Environmental impacts on sports performance Educational models for physical literacy development Analysis of his recent publications shows consistent investigation into athletic performance metrics, particularly in soccer contexts, with methodologies spanning experimental interventions, systematic reviews, and cross-cultural studies. Research frequently examines physiological responses to training loads, cognitive impacts of exercise, and pedagogical approaches in physical education. No scientific awards, grants, research labs, or supervised student information is documented in available sources.
Lewis Fazackerley is an Associate Lecturer at Queensland University of Technology within the Faculty of Health, specifically in the School of Exercise & Nutrition Sciences. He holds a PhD from QUT and is affiliated with the Skill Sport Performance Research Injury Group (SPRING), contributing to sports science research with a focus on practical applications in professional sports settings. His research interests span sports science, exercise physiology, and sports medicine, with particular emphasis on athlete performance monitoring, injury prevention, and workload management in professional sports. Fazackerley's work bridges theoretical knowledge with practical implementation, focusing on how physiological and psychological factors impact athletic performance and injury risk. Analysis of his publications reveals a strong focus on professional team sports, particularly rugby league and football (soccer), examining how training calendars, competitive schedules, and environmental factors influence athlete performance. His recent work has expanded into innovative areas like applying generative AI to sports science education, demonstrating his adaptability to emerging technologies in the field. Lewis Fazackerley has collaborated extensively with researchers like Glen Minett, Vaughan Kelly, and others, producing research that addresses real-world challenges faced by professional sports organizations and athletes. His work often employs mixed-methods approaches to capture both quantitative performance metrics and qualitative perspectives from players and coaching staff.
Shuai ZHANG is a Research Fellow at Nanyang Technological University (NTU), Singapore, working under the supervision of Prof. Chen Lv. He previously served as a Postdoctoral Fellow at the University of Hong Kong (HKU) with Prof. Jia Pan and completed his Ph.D. and Master's in Marine Science and Technology at Northwestern Polytechnical University under Prof. Mingyong Liu and Prof. Xingguang Peng. He was also a Joint Ph.D. student at the Intelligent Computational Engineering Laboratory (ICE LAB) at the University of Strathclyde, UK, supervised by Dr. Edmondo Minisci. Ph.D., Marine Science and Technology, Northwestern Polytechnical University Master, Marine Science and Technology, Northwestern Polytechnical University His research focuses on Swarm robots/drones , Robotics and autonomous systems , Swarm intelligence , and Bio-inspired optimization , with applications in Multi-robot/agent systems , Differential privacy , and Distributed control . He investigates collective behaviors in robotic systems using Game theory and Evolutionary dynamics , while integrating Smooth particle hydrodynamics and Agent-based modeling . Recent publications demonstrate expertise in EEG emotion recognition , BCI-assisted neurorehabilitation , and non-invasive brain-computer interfaces , with a trend toward geometric modeling in neural networks and adaptive signal processing. His work bridges theoretical models (e.g., transformers, co-adaptive networks) with practical implementations in embedded systems and wearable technologies. Associate Editor, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO 2023) He actively contributes to academic services as a reviewer for journals including IEEE Transactions on Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), and Complex & Intelligent Systems , reflecting his impact in robotics and computational neuroscience communities.
Daniel Sanchez Morillo serves as Full Professor at the University of Cádiz within the School of Engineering and Department of Automation, Electronics, Architecture and Computer Networks Engineering. He leads the Bioengineering, Automation, and Robotics (TIC212) research group at UCA and co-directs the Biomedical Engineering and Telemedicine (IBT) group at the Institute for Research and Innovation in Biomedical Sciences (INiBICA). Education PhD in Telecommunications Engineering, University of Cádiz (2008). Thesis: "Processing and transmission of biomedical signals for the diagnosis of sleep disorders and diseases" supervised by Dr. Juan Luis Rojas Ojeda Research Focus Dr. Morillo's work centers on biomedical engineering and artificial intelligence applications in healthcare, with particular expertise in signal processing for physiological monitoring and image analysis for medical diagnostics. His research spans: Development of AI-driven diagnostic tools for respiratory diseases Robotics and haptic systems for rehabilitation Environmental monitoring solutions for chronic conditions Biomedical signal processing for sleep disorder analysis Publication Trends Recent work (2024-2025) demonstrates a strategic shift toward deep learning applications in occupational lung disease screening and sensor-integrated rehabilitation devices . Key trends include the fusion of virtual reality with physiological monitoring, AI-enhanced medical imaging for silicosis detection, and innovative approaches to gait analysis using wearable technology. Research Leadership As leader of the TIC212 group and co-director of the IBT group, Dr. Morillo oversees interdisciplinary projects bridging engineering and clinical medicine. His teams develop cutting-edge solutions including smart orthoses with haptic feedback, automated cough detection systems, and virtual reality rehabilitation environments, fostering collaboration between engineers, clinicians, and industry partners.
Professor Alessandro Di Nuovo is Professor of Machine Intelligence at Sheffield Hallam University, where he is based in the Department of Computing within the School of Computing and Digital Technologies. He leads the AI, Robotics and Digital research theme at the Advanced Wellbeing Research Institute and founded the Smart Interactive Technologies (SIT) Research Laboratory, which conducts internationally renowned research in interdisciplinary applications of machine intelligence, particularly in healthcare and well-being. His research focuses on two primary streams: Neuro-developmental Robotics , which explores how machines can learn by simulating child-like brains embodied in humanoid robots, and Socially Assistive Robotics , which aims to support healthcare and social workers in caring for children, older adults, and disabled individuals. His work bridges cognitive science, robotics, and healthcare applications, with particular emphasis on neuromorphic engineering, cognitive architectures, and real-world implementation in clinical settings. His recent publications (2023-2025) demonstrate a strong focus on neuromorphic computing, human-robot interaction for elderly care and autism therapy, and ethical considerations in robotics. These works reveal a consistent pattern of interdisciplinary collaboration and methodological innovation, particularly in translating theoretical advances in developmental robotics into practical healthcare applications. The research shows increasing sophistication in integrating multiple sensing modalities and creating more natural, adaptive human-robot interactions. Senior Member of the IEEE (2014) As a research leader, Prof. Di Nuovo has secured over £2.7 million in funding and established a worldwide network of collaborators. He serves as Topic Editor-in-Chief of the International Journal of Advanced Robotic Systems and as Associate Editor for several prestigious journals. His leadership extends to major international projects including the Horizon Europe PRIMI project (€7.3 million, 2023-2027) and the H2020 PERSEO network (€4 million, 2021-2024), which train the next generation of interdisciplinary researchers. The Smart Interactive Technologies (SIT) Research Laboratory under Prof. Di Nuovo's leadership provides cutting-edge facilities for advanced machine learning and human-robot interaction experiments. The lab supports collaborative research projects funded by public bodies (European Union, UKRI), private companies (IBM, NVIDIA), and charities (Sheffield Children Hospital Trust), positioning it at the forefront of socially impactful robotics research with direct clinical validation pathways.
Jukka Nurminen serves as an Adjunct Professor and Visitor within Aalto University's Department of Computer Science, maintaining active affiliation with the Myllymäki Petri research group at the Helsinki Institute for Information Technology (HIIT). His institutional presence bridges theoretical computer science and sustainability applications through cross-disciplinary collaborations. Research focuses span three critical domains: energy-efficient computing systems (data centers, distributed networks), sustainable urban mobility via smartphone data analytics, and AI ethics in educational contexts. His work consistently translates computational frameworks into real-world sustainability solutions, such as developing smartphone-based tools for low-carbon travel optimization and energy-aware data center management. Recent publications (2025) reveal emerging expertise in quantum algorithm measurement techniques and LLM ethics assessment, building on established contributions in sustainable transportation (2020) and green computing (2018-2019). This trajectory demonstrates continuous adaptation to computational frontiers while maintaining core sustainability objectives. No scientific awards are documented in available sources, though his work appears in premier venues including IEEE Quantum Software, ACM Transactions, and Sustainability journals. As an Adjunct Professor, he likely engages in graduate supervision within Aalto's Computer Science department, with research supported by institutional resources at HIIT and Aalto. Collaborative patterns indicate international partnerships, particularly with CERN in green computing initiatives and transportation researchers in sustainable mobility projects. His affiliation with the Myllymäki Petri group provides access to HIIT's machine learning infrastructure and cross-institutional researcher network, facilitating the data-intensive approaches central to his transportation and energy studies.
Dr. Nico Herbig is a researcher at the Ubiquitous Media Technology Lab (UMTL) at Saarland University, holding a Dr.-Ing. degree awarded in 2022 for his PhD thesis on multi-modal post-editing of machine translation. His work bridges human-computer interaction and language technologies, focusing on enhancing translator productivity through innovative interface design. Herbig's primary research explores Machine Translation and Human-Computer Interaction , with specific expertise in multi-modal post-editing systems that reduce cognitive load. His investigations into gesture-based interfaces, handwriting recognition, and speech commands for translation workflows represent significant contributions to the field. Recent work extends into E-Learning applications where multi-modal cognitive load detection improves adaptive learning systems, and Retail Technology focusing on sustainable food systems and intelligent shopping interfaces. Analysis of his 15 most recent publications (2018-2022) reveals a consistent focus on multi-modal translation interfaces, with 70% dedicated to post-editing enhancement. His work increasingly integrates physiological sensors for cognitive load measurement (2019-2021) and expands into cross-domain applications like e-learning (2020) and retail (2017-2018). The publications demonstrate strong industry relevance through collaborations with professional translators and practical implementations in CAT tools. As an academic advisor, Herbig has supervised 7 Master's theses and 3 Bachelor's theses between 2017-2020. Key projects include ImpoWord MTQE (2020), IPE visualization (2020), and tangible AR systems for retail (2018). His teaching portfolio includes Web Development courses (2017-2018) and the 'Livestreaming Meets HCI' seminar (2017), reflecting his interdisciplinary approach. Herbig operates within the Ubiquitous Media Technology Lab led by Prof. Dr. Antonio Krüger, collaborating on projects including MMPE (Multi-Modal Post-Editing), VICAR, HyperCOG, and KOALA. The lab's research spans intelligent retail systems (e.g., 'intelligent fruit stand'), factory layout planning (DEPlata), and sports technology (OmniSports), with Herbig contributing core expertise in human-centered translation interfaces and cognitive load optimization.
Dr. Hanneke Torij is a Professor in Midwifery and Childbirth Care at the Healthcare Innovation Knowledge Center of Rotterdam University of Applied Sciences. She pioneered the Rotterdam Midwifery Academy (VAR) , a collaboration with Erasmus MC, establishing its Academic Workplace in 2011. Her work focuses on improving maternity care for vulnerable populations through regional consortia, Mama's Garden community initiatives, and student engagement via the Student Research Council. Founded the first Dutch Midwifery Academic Workplace (2006) Project leader of the Regional Consortium for Pregnancy & Childbirth in Southwest Netherlands Developed Mama's Garden community for vulnerable mothers Her research emphasizes preventive care , integrated medical-social services , and professional midwifery development . Key grant funding includes the ZonMw Implementation Science Practitioner Fellowship . She actively involves students in research through minors like Beyond Borders and Ultrasound , while organizing webinars for both professionals and parents. Expert in vulnerable pregnancy outcomes Published 15+ articles on midwifery innovation Advocates for structured antenatal risk management
Dr. Anouschka van Leeuwen is an Assistant Professor at Utrecht University’s Faculty of Social and Behavioural Sciences , Department of Educational Sciences. Her research focuses on Learning Analytics , Educational Technology , and Teacher Behaviour , with a dual role as both a researcher/teacher and project leader of the Learning Analytics team at the Student & Academic Affairs Office. PhD in Educational Sciences, with a Master’s in Artificial Intelligence Supervises 4 PhD candidates Coordinator of SURF Special Interest Group Learning Analytics Co-organizer of bi-monthly SoLAR webinars Her work explores how data analytics can enhance educational practices, balancing pedagogy, privacy, and technical infrastructure. She emphasizes human-centered design in analytics systems, particularly for collaborative learning and self-regulated learning . Recurring themes in her publications include teacher dashboards , student data visualization , and ethical AI in education. Key awards: SURF Education Award (2024) . She collaborates internationally (e.g., University of Oulu) and nationally on initiatives like Npuls Pilothub Data and AI . Her 2024 report "AI en kansengelijkheid" addresses AI’s impact on educational equity. Labs/Teams : Learning Analytics Program at Utrecht University SURF Special Interest Group Bi-monthly SoLAR Webinars Interact! Project Grants : Project funding for teacher dashboard designs Collaboration grants with University of Oulu
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