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Justyna Berniak-WoźnyView profile

Researcher

• Business Process Management
• Environmental, Social, and Governance (ESG) Reporting
• Corporate Social Responsibility (CSR)
• +7 more

Dr. Justyna Berniak-Woźny is a Researcher and Tutor at SWPS University in Krakow, affiliated with the Interdisciplinary Faculty and Department of Management . She holds a PhD in Social Sciences from Leeds Beckett University and an MBA from Oxford Brookes University. PhD in Social Sciences, Leeds Beckett University MBA, Oxford Brookes University Her research spans Business Process Management (BPM) in the knowledge economy , ESG reporting , sustainable development , and the integration of artificial intelligence and digital competencies in higher education. She has developed innovative Living Labs pedagogical strategies and conducted cross-European studies on evolution education. Her recent publications focus on BPM education gaps in Poland, green process implementation, and digital transformation challenges. She holds professional certifications in PMP and Agile Project Management . As a project manager and ESG consultant , she bridges academic research with business applications through: Collaboration with University of Gdańsk researchers Surveys of 601 Polish organizations Development of ESG-awareness tools

Marina MiloševićView profile

Associate Professor

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +7 more

Dr. Marina Milošević is an Associate Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She specializes in medical image processing, particularly breast cancer detection using thermography and mammography, along with database systems and human-computer interaction. Her work bridges computer engineering with biomedical applications, focusing on practical implementations for healthcare improvement. Her educational background includes a Bachelor's degree in Computer Engineering from the Technical Faculty in Čačak (2010, GPA 9.47) and a PhD from the Faculty of Electronics, University of Niš (2016). She has received multiple awards for academic excellence and was a scholarship recipient from several prestigious institutions including the Fund for Young Talents and the Ministry of Education of Serbia. Dr. Milošević's research interests focus on medical image processing, particularly breast cancer detection using thermography and mammography. She has developed systems for remote mammogram processing and comfort level classification during patient transport. Her work also extends to database systems, geographic information systems, and human-computer interaction. She holds multiple professional certifications in database technologies from INTERGRAPH and ORACLE ACADEMY. Her publication record shows a strong trend toward interdisciplinary research combining computer engineering with medical applications. Recent work has expanded into transportation systems, earthquake detection using mobile phones, and agile software development methodologies. Her research consistently focuses on practical implementations with real-world applications, particularly in healthcare diagnostics and monitoring. Scholarship recipient of the Fund for Young Talents Scholarship recipient of the University of Kragujevac Scholarship recipient of the Ministry of Education of the Republic of Serbia Vuk Karadžić diploma for exceptional academic performance Dr. Milošević teaches across all academic levels, from Bachelor's courses in Fundamentals of Computer Engineering and Databases to PhD-level courses on Virtual Reality Applications in Medicine and Biomedical Image Processing. Her work on a patent for a random number generator based on Geiger-Muller counter technology demonstrates her innovative approach to solving engineering problems. She has been actively involved in adapting engineering education for remote learning during the pandemic. She leads research in the Computer Science Laboratory at the Faculty of Technical Sciences, focusing on medical image processing systems and database applications. Her recent work includes developing web-based systems for remote mammogram processing and analyzing vehicle vibration signals for comfort assessment. She collaborates with researchers across multiple institutions on interdisciplinary projects that bridge computer engineering with healthcare applications.

• Astrophysics
• Supernovae
• Galaxies
• +3 more

Dr Stacey Habergham-Mawson is a Senior Lecturer and Project Manager at the Astrophysics Research Institute of Liverpool John Moores University. She leads the MSc Astrophysics distance learning course and manages The Schools' Observatory outreach project. Her academic career spans research, teaching, and public engagement initiatives EDUCATION: PhD in Astrophysics (2009-2013) PGCE Secondary Science (2008-2009) MPhys in Physics (2004-2008) RESEARCH INTERESTS: Focus on supernovae environments, particularly Type IIn supernovae, connecting stellar populations with explosion physics. Also investigates galaxies, metallicity, and STEM education outreach. Her work reveals how supernovae reveal stellar evolution secrets and cosmic recycling RESEARCH TRENDS: Recent publications analyze J-PLUS survey data and local stellar populations. Earlier studies focus on supernova classification, host galaxy disturbances, and diversity initiatives in STEM SCIENTIFIC AWARDS: William Thomson, Lord Kelvin Medal (2023) Equality, Diversity and Inclusion Award Commendation (2023) Ogden Science Officer Fellowship (2009) Fellow of Institute of Physics (2013) Fellow of Royal Astronomical Society (2009) PROFESSIONAL ACTIVITIES: Chair of STFC Public Engagement Spark/Legacy panels. Former Royal Astronomical Society Vice-President and Diversity Champion. Leads decolonizing curriculum initiatives and departmental EDI committees

• Discrete Mathematics
• Convex Geometry
• Probability Theory
• +1 more

Ambrus Gergely is a Research Fellow affiliated with the Geometry Department at the Hungarian Academy of Sciences. His work bridges discrete mathematics, convex geometry, and probability theory, focusing on geometric configurations, optimization, and combinatorial problems. Research Interests: Discrete Mathematics, Convex Geometry, Probability Theory, Discrete Analysis Grants: Combinatorics in Geometry and Number Theory (2020-2025), Limits of discrete structures (ERC, 2014-2019) His recent publications address vector balancing, Helly-type theorems, and geometric optimization, with a focus on convex bodies, planar sets avoiding unit distances, and extremal problems in discrete geometry. He has made significant contributions to understanding the interplay between convex geometry and probabilistic methods. Scientific Awards: János Bolyai Research Fellowship (Hungarian Academy of Sciences, 2015) Grünwald Géza Memorial Medal (Bolyai János Matematikai Társulat, 2009) Rényi Kató Award (Bolyai János Matematikai Társulat, 2006) Ambrus is part of the GeoScape Research group at the Rényi Institute, collaborating on problems related to convex sets, tight frames, and geometric algorithms.

• Physical Education
• Sports Science
• Biomechanics
• +3 more

Pedro Angel Latorre Roman is a UNIVERSITY PROFESSOR at the Department of Didactics of Music, Plastic and Body Expression at the University of Jaen. His research focuses on the Didactics of Body Expression within the Physical Activity and Sports research group. His educational background includes a PhD from the University of Granada (2003) for research on biomechanical parameters in long-distance runners. His work spans physical fitness, motor competence, gait analysis, and high-intensity interval training (HIIT), with a particular emphasis on aging populations and childhood development. Recent publications (2025–2024) highlight trends in dual-task paradigms for motor assessment, aquatic performance in preschoolers, and HIIT’s impact on health markers. Topics include: Physical fitness and cognitive function in schoolchildren Gait dynamics in dual-task models Strength and velocity profiling in athletes Validation of motor assessment tools He collaborates on cross-cultural studies and has explored pandemic-related impacts on physical activity, though no specific scientific awards are mentioned.

Paolo MairanoView profile

Lecturer

• English Phonetics and Phonology
• L2 Acquisition
• Speech Synthesis
• +4 more

Paolo Mairano is a Lecturer in English Phonetics at the University of Lille , affiliated with the Department of English Studies within the Faculty of Languages, Culture and Societies . He works with the UMR 8163 - Laboratory, Knowledge, Language Texts . His research interests include: Acquisition of phonetics/phonology in L2 Orthographic effects on pronunciation Prosody and rhythmic typology Speech synthesis technologies Corpus-based linguistic analysis Recent publications focus on: Italian regional consonant variation Orthographic-phonologic interactions L2 vowel category overlap metrics Rhythmic priming in speech production Gemination stability in migrant speech Prosodic effects on segmental accuracy He develops tools for: Phonetic transcription training Minimal pair analysis Emotional speech modeling

Catherine DominguèsView profile

Researcher

• Natural Language Processing
• Cartography
• Data Mining
• +3 more

Catherine Dominguès is a senior researcher at the French National Mapping Agency (IGN) specializing in Natural Language Processing for Cartography within the MEIG (Mediation and Enrichment of Geographic Information) research team. Her work bridges computational linguistics and geographic information science, focusing on the intersection of language analysis and spatial data representation. Education : Habilitation à diriger des recherches (HDR) in Natural Language Processing (2020), PhD in Computer Science (2001), DEA in Theoretical Foundations of Computer Systems (1989) Research Interests center on places and placenames , expressive variations in toponym spelling , location-based information retrieval , and sensitive cartography . Her methodology combines data mining , fuzzy spatial reasoning , and geovisualization techniques. Key publication trends show her work connects NLP for map analysis , mountain rescue support systems , and narrative-based mapping . She contributes to heterogeneous data integration and fuzzy logic applications in geographic contexts. Supervision : Co-supervised Dong Chuanming (PhD) and previously supervised Firas Bessadok (PhD) Projects : Core member of the CHOUCAS project (2017-2022) integrating heterogeneous data for mountain rescue, and involved in MATRICIEL (2016-2017) mapping migrant perceptions

Matías Guzmán NaranjoView profile

Associate Professor

• Morphology
• Typology
• Corpus Linguistics
• +4 more

Matías Guzmán Naranjo is an Associate Professor at the University of Bergen and a computational typologist at the University of Freiburg. His research bridges morphology, typology, and computational linguistics, with a focus on formalizing analogy in HPSG/CxG frameworks and developing Bayesian models for spatial typology. Education : PhD in Linguistics from Leipzig Research Interests Quantitative Morphology Computational Typology HPSG and Construction Grammar Bayesian Modeling of Spatial Phenomena Publication Trends include spatial modeling of language contact, quantitative morphology, and computational methods in typology. His recent work addresses challenges in modeling dialectal variation and missing data in geographic linguistics. Teaching includes courses at the University of Tübingen, Université de Paris, and University of Düsseldorf on Bayesian statistics, HPSG, and typological fundamentals. Supervision involves ongoing PhD mentoring of I-Ying Lin and Marvin Martiny. Software Contributions include Analogy-based Morphology in TRALE , Paradigma for morphological analysis, and RcppGuile for extending R with Scheme.

Nafe MoradkhaniView profile

Assistant Professor

• Artificial Intelligence
• Data Science
• Data-Driven Optimization
• +6 more

Nafe Moradkhani is an Assistant Professor of Artificial Intelligence and Data Science at KEDGE Business School’s Bordeaux campus, affiliated with the Department of Operations Management and Information Systems. He is an active member of the Center of Excellence for Supply Chain Innovation and Transportation (CESIT), driving collaborative industrial research and teaching undergraduate to postgraduate courses in information systems and operations management. Education: He holds a PhD in Computer Science and Industrial Engineering jointly awarded by IMT Mines Albi and the Georgia Institute of Technology. His doctoral work pioneered physics-inspired decision support frameworks for socio-technical systems. Research Focus: His work centers on AI-driven optimization of supply chains, emphasizing machine learning, urban logistics, and operational resilience. Key themes include: Data-driven models for sustainable logistics Physics-based paradigms for complex decision-making Real-world applications in crisis response (e.g., floods, pandemics) Publication Trends: Recent articles demonstrate interdisciplinary integration of physics principles into decision science, with applications spanning public health (COVID-19 modeling), environmental impact (air pollution), and urban systems (traffic/flood management). Predominant methodologies include multi-criteria optimization, virtual reality simulations, and predictive analytics. Research Infrastructure: At CESIT, he contributes to projects on supply chain innovation, leveraging partnerships with industry stakeholders to translate theoretical models into operational tools.

• Emotion Psychology
• Mental Health Assessment
• Computational Linguistics
• +3 more

Erik C. Nook serves as Assistant Professor of Psychology at Princeton University, conducting research at the intersection of emotion science, language processing, and mental health assessment. His work leverages computational linguistics and large-scale collaborative approaches to analyze psychotherapy processes and well-being indicators. Dr. Nook's research centers on emotion differentiation, vocabulary development, and regulatory mechanisms across the lifespan. He investigates how linguistic patterns in therapy correlate with treatment outcomes, the neural basis of emotion organization, and developmental trajectories of emotional complexity. His methodology integrates natural language processing, physiological modeling, and ecological momentary assessment to bridge clinical and cognitive psychology. Analysis of Dr. Nook's 2024-2025 publications reveals three dominant research streams: (1) Emotion vocabulary as a biomarker for mental health, (2) Machine learning applications for modeling affective experiences, and (3) Developmental studies of emotion concept organization. His work consistently employs interdisciplinary frameworks, frequently involving multi-institutional 'big team science' collaborations. Key methodological innovations include linguistic distancing metrics, physiological-affective modeling, and computational approaches to psychotherapy transcript analysis.

• Electric Motors
• Thermal Management
• Electromagnetic Design
• +3 more

Luca Boscaglia is a researcher at Chalmers University of Technology, Sweden, specializing in Electrically Excited Synchronous Machines (EESMs) for sustainable transportation. He is affiliated with the Department of Electric Power Engineering, focusing on electromagnetic, mechanical, and thermal design challenges of high-power density motors. PhD in Electrical Engineering (2024, Chalmers) Expertise in rare-earth-free electric motor alternatives Key contributor to EU-funded projects like LONG and DORNA His research addresses critical issues in the transportation sector's decarbonization, including: Advanced rotor and stator oil cooling systems High-speed mechanical integrity under centrifugal forces Dynamic current control with mutual coupling considerations Driving cycle thermal modeling for reliability Publication trends highlight innovations in: Direct oil cooling for 200 kW truck motors Brushless excitation systems Hairpin winding loss reduction Comparative analysis with permanent magnet motors Collaborations span automotive giants (Volvo, ABB), EU institutions, and global universities (Zhejiang, Polytechnic University of Turin). Current projects include FlexCharge, E-drill, and HipeDrive, funded by Swedish Energy Agency and European Commission.

Carole PeyrinView profile

Researcher

• Visual Perception
• Neurocognitive Mechanisms
• Neuroimaging
• +3 more

Carole Peyrin is a Researcher at the University of Grenoble Alpes, affiliated with CNRS UMR 5105 (LPNC). She leads the Vision and Emotion team (VisEmo) and co-heads the Master 2 Research in Neuropsychology and Clinical Neurosciences program. Her work focuses on neurocognitive mechanisms of visual perception, particularly spatial frequency processing, peripheral vision, and scene categorization, with clinical applications in age-related macular degeneration (AMD) and glaucoma. Education : HDR in Psychology (2012), Doctorate in Cognitive Psychology (2003), both from UPMF Grenoble. Research Interests : Visual perception, neurocognitive models, eye movement analysis, aging-related changes, neuroimaging techniques, and clinical applications in ophthalmological diseases. Her research demonstrates how retinal damage in AMD and glaucoma correlates with functional brain changes affecting visual processing. Recent publications explore motion processing in maculopathy, spatial frequency dynamics, and emotional face recognition. She has secured grants from ANR, CNRS MITI, and UGA's IDEX program. Scientific Awards : Médaille de Bronze du CNRS (2015), Chevalière de l'Ordre National du Mérite (2016), Prix la Recherche en Neurosciences (2014). As a doctoral advisor, she has guided 9 PhD theses, including studies on predictive processing, scene categorization, and ophthalmological disease impacts. She chairs the Grenoble Alpes Research Ethics Committee (CERGA) and contributes to national ethics frameworks through the FF-CER.

• Perception-action loops
• Animal behavior
• Sensory substitution
• +8 more

Christian Graff is an HDR lecturer at the University of Grenoble Alpes, affiliated with the Laboratory of Psychology and Neuro-Cognition (LPNC). His research spans multiple disciplines including neurosciences, psychophysique, and ethology, with a focus on perception-action loops, animal behavior, sensory substitution, and rhythms. He serves as a disability reference teacher for psychology students at the university. Graff's research interests center on irregular rhythms, intermodal sensory perception, and human/cognitive systems. His work explores how rhythmic patterns in biological systems inform our understanding of temporal processing, from electric fish signaling to human finger-tapping and eye blinking. He investigates sensory substitution systems to assist visually impaired individuals in spatial navigation and has developed innovative approaches to multimodal guidance using sound metaphors. His publication trends reveal a progression from neuroethology of electric fish to psychophysics and evolutionary psychology. Recent work focuses on sensory substitution for spatial awareness, virtual reality embodiment, and rhythmology. His research bridges biology, psychology, and technology, examining how humans interact with space through multiple sensory channels and how these insights can inform assistive technologies. Graff collaborates extensively across disciplines through projects like SAM-guide (Spatial Awareness from Multimodal guidance), CDP Boot (Cross-disciplinary Program for robot interaction), and FISHIF (Fish In Silico with Hydrodynamic and Social Interaction Forces). He participates in interdisciplinary collectives including CARMEN (Consciousness, Attention, Representation Mentale) and the "Rhythmologies" and "Humanibots" research axes at MSH-Alpes. His laboratory work involves the Babylab and focuses on perception-action systems, with current projects exploring voice control of flying robots, sensory substitution devices, and the metalinguistic function of spontaneous eye blinking. His team combines experimental approaches from ethology, psychophysics, and virtual reality to investigate how humans and animals perceive and interact with space across different temporal scales.

Juan Manuel Benítez Del RosarioView profile

Professor

• Business Administration
• Tourism Management
• International Business
• +3 more

Juan Manuel Benítez Del Rosario is a University Professor at the Department of Economics and Business Management within the IU of Cybernetics, Business and Society (IUCES) at the University of Las Palmas de Gran Canaria. His work focuses on business organization, tourism, sustainability, and internationalization. Research Interests: Business Administration, Tourism Management, Sustainability, Service Quality Advising: Advised Miguel Ángel Posso Yépez on industrial heritage regeneration in Ecuador Recent Research Trends highlight his contributions to climate change policy analysis, fuzzy logic modeling of social attitudes, intermodal transport systems, and sustainable tourism strategies. He collaborates on EU-focused climate-economy correlations and immigrant perception studies using semi-automated literature reviews. Email: juanmanuel.benitez@ulpgc.es

• Spine Surgery
• Orthopedic Surgery
• Bone Quality Assessment
• +5 more

Wayne K. Cheng, MD is a Professor in the Department of Orthopedic Surgery and Clinical Professor in the Basic Sciences department at Loma Linda University School of Medicine . Research Interests : Spinal anatomy, bone quality assessment via CT/MRI, medical malpractice in spine surgery, biomechanical analysis, machine learning applications for surgical outcomes, and anatomical landmark validation for spinal procedures. Article Trends : Recent publications focus on CT-based morphometric analysis of spinal structures, machine learning algorithms for complication prediction, medical malpractice litigation patterns, and multi-level spinal diagnostics . Collaborative work with Danisa, Razzouk, and Wycliffe appears frequently. Educational Background Doctor of Medicine (1995) Bachelor of Science (1988) - both from Loma Linda University