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Tom BrownleeView profile

Assistant Professor

• Applied Physiology
• Strength and Conditioning
• Sports Performance
• +7 more

Dr. Tom Brownlee is an Assistant Professor in Applied Sport Sciences at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham. His expertise bridges academic research and elite sports practice, with a strong background in professional football environments. Education: BSc (Hons) Sport and Exercise Science, Coventry University MSc Exercise Physiology, Loughborough University PhD Applied Exercise Physiology, University of Liverpool (conducted at Liverpool FC) Tom’s research is centered on applied physiology and strength and conditioning , with a focus on high-performance sport . His work investigates strength training methodologies, periodisation strategies, nutritional practices, and effective communication between scientists and coaches in elite settings. He has extensive experience working within professional football, informing both his teaching and research direction. His recent publications reflect a strong trend in elite football science , particularly in training load monitoring, strength development across genders and age groups, genetic influences on performance and injury, and the practical application of technology like GPS and flywheel training. The research emphasizes real-world implementation and practitioner perspectives. Professional Roles and Recognition: Leader, UK Strength and Conditioning Association (UKSCA) Football Special Interest Group Consultant for the English Premier League Reviewer for leading journals including Journal of Sports Sciences , International Journal of Sports Physiology and Performance , and European Journal of Sports Science Tom is an active supervisor, having guided multiple doctoral and master’s students to completion, with a focus on candidates embedded in high-performance sport. He regularly advertises PhD opportunities through his professional network, particularly on Twitter. While specific grants are not listed, his consulting and leadership roles indicate significant professional engagement and impact. He also contributes to teaching, delivering modules such as Introduction to Sports Science and Athletic Training and Conditioning.

Barry DrustView profile

Professor

• Exercise Physiology
• Football Performance
• Intermittent Exercise
• +5 more

Dr Barry Drust is an Industrial Professorial Fellow and Director of the Graduate School of Sport & Professional Practice at the University of Birmingham's School of Sport, Exercise and Rehabilitation Sciences. He is a leading applied exercise physiologist internationally recognized for his research in football performance, player preparation, and intermittent exercise. He also serves as the programme leader for the Doctorate in Sport and Exercise Science and is the Business Engagement Champion, reflecting his strong industry links. BSc (Hons) Sport Science PhD Exercise Physiology Barry's research focuses on training planning and monitoring, effectiveness of preparation strategies for elite players, understanding intermittent/football-specific exercise, movement patterns in exercise response, barriers to sport science implementation in elite organizations, and professional competency development in applied practitioners. His work bridges academic research and real-world application in high-performance sport. His recent publications highlight trends in football science, including performance analysis, training load monitoring, environmental impacts on performance, interdisciplinary collaboration, and professional development in sport science. The research consistently emphasizes evidence-based practice, athlete-centered approaches, and the integration of science into elite football contexts. Fellow of The British Association of Sport and Exercise Scientists Barry has supervised over 40 PhD students and has been instrumental in developing novel doctoral education models, particularly professional doctorates. He has secured and contributed to numerous research and development initiatives with elite football clubs and international organizations. His consultancy work includes advising Liverpool FC, Rangers FC, West Bromwich Albion FC, Middlesbrough FC, and the England Senior Men’s Football team, as well as industry partners like Nike and Catapult. He is actively involved in directing continuing professional development for sport science staff across the Premier League and Football League. He serves on the editorial board of the Journal of Science and Medicine in Football and regularly reviews for leading journals such as the Journal of Sports Sciences and International Journal of Sports Physiology and Performance. His professional network spans national and international football organizations, where he provides expert advice on sport science support, research and development programs, and staff mentoring.

• International Business
• Internationalization Processes
• Foreign Direct Investment (FDI)
• +5 more

Tiia Vissak is an Associate Professor of International Business at the University of Tartu's Faculty of Social Sciences, School of Economics and Business Administration. She has held academic roles since 1999, progressing from researcher to her current position. Her research focuses on internationalization processes, export performance, and VUCA environment dynamics. She has led major projects like 'Export(ers') Performance in VUCA and Non-VUCA Environments' (2022–2026), funded by the Estonian Research Council. Vissak is an editorial board member for journals like International Journal of Export Marketing and Entrepreneurial Business and Economics Review . Her work explores firm resilience, nonlinear internationalization, and the impact of crises on global strategies. She has advised over a dozen master's students and contributes to academic discourse through conferences and publications. Education: PhD (2003) and Research Master's (1999) from the University of Tartu. She specializes in international business, with a focus on CEE firms and emerging markets. Her studies often combine qualitative and quantitative methods, addressing topics like export failure predictors and AI applications in research. She emphasizes practical implications for firms navigating volatile global landscapes. Her projects and articles highlight themes such as post-crisis opportunities, digital transformation in business, and the interplay between network relationships and international success. She advocates for adaptive strategies in education and entrepreneurship to enhance competitiveness in VUCA environments.

• Business Services Innovation
• Servitization in Manufacturing
• Service Design
• +4 more

Mario Rapaccini is an Associate Professor at the Department of Industrial Engineering, University of Florence. His research focuses on digital transformation (Industry 4.0) and servitization of manufacturing enterprises. He holds academic affiliations with multiple universities, including Politecnico di Milano and Scuola Sant'Anna di Pisa. Rapaccini has extensive experience in service management, having led projects like the ASAP Forum and coordinated initiatives such as the PRIN 2015 and Erasmus+ IMPACT programs. His work bridges theory and practice, collaborating with global companies like Ricoh, Canon, and Enel Green Power. Education: PhD in Mechanical Engineering. His research interests include service innovation, digital servitization, and Industry 4.0 technologies. Over 100 publications in journals, conferences, and books, with a focus on servitization strategies, service system design, and data-driven services. Recent research trends emphasize servitization maturity models, digital twin applications, and Industry 4.0 integration in manufacturing ecosystems. His work highlights challenges SMEs face in adopting digital servitization and proposes frameworks for service 4.0 implementation. Grants/Projects: PRIN 2015 (Cost & Performance Management for Servitization), Erasmus+ IMPACT (2020), MITIP 2007, PROSSALIC (EU IRSES 2011). Labs/Initiatives: Founded IBIS Lab (Industry Business Innovation Systems), national coordinator of ASAP Forum.

Pew-Thian YapView profile

Professor

• Medical Imaging
• Machine Learning
• Neuroscience
• +3 more

Dr. Pew-Thian Yap is a Professor in the Department of Radiology at the University of North Carolina at Chapel Hill and serves as Director of the Image Analysis Core of the Biomedical Research Imaging Center (BRIC). His roles include Associate Chair of Basic Science Research and Co-Director of Radiological Sciences Faculty Development. He leads research in medical imaging innovations, focusing on MRI analysis, neural modeling, and clinical applications in neuroscience and disease diagnosis. Educations: PhD from University of Malaya, Malaysia Postdoctoral Fellowships at Nanyang Technological University, Singapore, and University of North Carolina His research spans image acquisition, reconstruction, harmonization, and analysis, with applications in brain development, neurodegenerative diseases (e.g., Alzheimer’s), and surgical planning. Notable projects include federated learning for multisite MRI analysis, infant brain MRI super-resolution, and generative AI in oncology imaging. Dr. Yap’s work emphasizes cross-disciplinary collaboration, integrating machine learning with medical imaging to address clinical challenges. His lab develops open-source tools and datasets for advancing imaging standards and accessibility.

Gang LiView profile

Associate Professor

• Medical Imaging
• Neuroimaging
• Machine Learning in Neuroscience
• +3 more

Gang Li, PhD, is an Associate Professor in the Department of Radiology at the University of North Carolina School of Medicine, affiliated with the UNC IDEA Group (BRIC). His research focuses on advancing computational methods for neuroimaging analysis, particularly in infant and pediatric brain development. He holds a PhD from Northwestern Polytechnical University (Xi’an, China) and completed research fellowships at Weill Medical College of Cornell University and The Methodist Hospital Research Institute. Dr. Li’s work integrates machine learning, artificial intelligence, and medical imaging to study brain development trajectories, functional connectivity, and the impact of environmental factors. His lab develops innovative algorithms for brain MRI analysis, including cortical surface reconstruction, functional connectivity prediction, and automated segmentation. Recent studies address topics such as prenatal phthalate exposure effects, maternal obesity influences on neonatal brain structure, and longitudinal cortical morphological changes in infants. Publications highlight his expertise in federated learning for limited-data scenarios, deep learning applications in fetal brain imaging, and the creation of 4D infant brain atlases. His work emphasizes translational research, aiming to improve early diagnosis of neurodevelopmental disorders and enhance clinical decision-making through advanced imaging analytics. Though no specific awards are listed, his extensive contributions to neuroimaging methodology and infant brain research reflect a high-impact academic profile. He advises students on cutting-edge projects at the intersection of AI and medical imaging, with a focus on reproducible and scalable solutions for neuroimaging challenges.

Manish KumarView profile

Adjunct Associate Professor

• Health Systems Strengthening
• Digital Health
• Health Information Systems
• +4 more

Manish Kumar, MPH, PhD, is an Adjunct Associate Professor in the Department of Public Health Leadership and Practice and the Department of Health Behavior at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. He currently leads the Global Health Finance Data team at Guidehouse, Inc., focusing on strategic data-driven solutions for health systems strengthening and digital health. His prior roles include Technical Lead at the Carolina Population Center and Principal Investigator for USAID-funded projects. Education: PhD (ABD) in Health Informatics from the Carolina Health Informatics Program, University of North Carolina at Chapel Hill; MPH in Public Health Leadership (specializing in public health informatics); MSc degrees from Wageningen University (Netherlands) and Pant University (India). Research interests include health information systems, digital health maturity models, and implementation science. He has contributed to global initiatives such as the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) and malaria surveillance systems. Awards include the Rotary Peace Fellowship (2013-2015), Delta Omega Service Award (2015), and induction into the Frank Porter Graham Graduate Honor Society. His work emphasizes health equity, data utilization, and evidence-based decision-making in low-resource settings.

Jonathan O’MuircheartaighView profile

Associate Professor

• Developmental Neuroimaging
• Neuroscience
• Pediatric Neurology
• +5 more

Dr. Jonathan O’Muircheartaigh is an Associate Professor at King's College London's Institute of Psychiatry, Psychology and Neuroscience (IoPPN), affiliated with the Centre for the Developing Brain and the MRC Centre for Neurodevelopmental Disorders. His research focuses on developmental neuroimaging, particularly investigating how early-life adversity impacts neurodevelopment through advanced MRI techniques. He leads studies on preterm birth, childhood epilepsy, and brain development in utero. Educations: PhD in Clinical Neuroscience, University of London (2011) MSc in Neuroscience, King's College London (2006) Bachelor of Arts in Psychology, University College Dublin (2005) Research Interests: His work integrates multi-disciplinary teams of neuroscientists, computer scientists, and clinicians to translate neuroimaging findings into clinical applications. Key areas include fetal and neonatal MRI, brain network analysis in epilepsy, and novel analytic approaches to diffusion MRI. He explores the effects of environmental and neurological factors on typical/atypical brain development. Research Contributions: Recent work includes EEG biomarkers for autism outcomes, SV2A synaptic markers in autism, and cortical scaling in neonates. His MRI innovations span fetal biometry, subplate segmentation, and ultra-low field imaging for pediatric use. Collaborations involve King's Health Partners and the MRC Centre for Neurodevelopmental Disorders. Labs/Teams: He directs the Developmental Neuroimaging Lab at IoPPN, collaborating with the Centre for the Developing Brain and international consortia like EU-AIMS and BIBS. His team develops open-source neuroimaging tools and contributes to large-scale projects like the Developing Human Connectome Project.

• Value Creation Networks
• Data Analytics Capabilities
• Knowledge Management
• +6 more

Nina Helander is a Professor of Information and Knowledge Management at the Faculty of Management and Business, Tampere University, specializing in Value Creation Networks. Her work focuses on digital transformation, data analytics capabilities, and knowledge management processes in public and private sectors. She holds a prominent position in the university’s research on smart city development, healthcare technology, and sustainable innovation. Research interests include the intersection of technology and organizational performance, with emphasis on data-driven value creation, stakeholder collaboration frameworks, and emotions in service design. She explores challenges in implementing digital solutions across sectors, particularly in healthcare and public administration, addressing issues like knowledge sharing barriers, ethical data governance, and user acceptance of new technologies. Her recent work highlights trends in: 1) leveraging emotion data for service innovation, 2) optimizing data analytics through organizational learning, and 3) balancing control/trust dynamics during technology adoption. She has contributed to frameworks like the maturity model for public sector knowledge management and co-creation strategies in hybrid settings. Notable contributions include studies on remote healthcare platforms, robotic process automation in healthcare, and the role of AI in overcoming knowledge barriers. Her research bridges theoretical models (e.g., IS Success Model, RBV) with practical implementations in SMEs and large organizations. Grants/awards details are not explicitly mentioned in the provided texts. Labs/teams: Her work is associated with Tampere University’s digital healthcare ecosystem research initiatives (e.g., DiHECO project) and innovation labs focused on public sector digitalization. She collaborates with multiple stakeholders including municipal governments, healthcare providers, and technology firms.

• Business Analytics
• Digital Transformation
• Task-Technology Fit
• +3 more

Givemore Muchenje is a Postdoctoral Research Fellow at the Faculty of Management and Business, Tampere University, specializing in Information and Knowledge Management. His work focuses on business analytics, digital transformation, and organizational change dynamics. Research interests include exploring how task-technology fit influences business value realization, the role of complementarity in technology adoption, and the temporal aspects of digital transformation. He investigates causal ambiguity in technology implementation and its impact on organizational agility. Recent publications (2023-2024) emphasize frameworks linking business analytics to problem resolution, strategic alignment of technologies, and measuring the speed of digital change. His work bridges theoretical models with practical applications in organizational settings. No scientific awards or advised students are explicitly listed. Contact: givemore.muchenje@tuni.fi | +358504110958 | Hervanta Campus, Tampere University.

Ufuk CebeciView profile

Professor

• Quality Management
• Manufacturing Systems Management
• Artificial Intelligence
• +3 more

Prof. Dr. Ufuk Cebeci is a faculty member at Istanbul Technical University , affiliated with the Department of Industrial Engineering . His academic career spans over three decades, with roles progressing from Lecturer (1994) to Professor (since 2020). Fields of Study: Quality Management, Manufacturing Systems Management, Artificial Intelligence Key Research Areas: Decision Support Systems, Lean Manufacturing, ERP Systems, Fuzzy Logic, Customer Relationship Management Research Trends show consistent focus on applying computational intelligence to industrial challenges, particularly through fuzzy logic and hybrid methodologies. His work addresses strategic management, process optimization, and digital transformation across sectors like textiles, construction, and banking. Awards: Most Cited Paper Award (Elsevier, 2017), Awards for Excellence (Emerald Group, 2015) Advising includes supervising 30+ theses in areas like lean manufacturing maturity analysis, ERP satisfaction studies, and AI-driven supply chain solutions. His grants involve projects on carbon footprint tracking software, production scheduling optimization, and IoT-integrated energy management systems.

• Software Engineering
• Agile Software Development
• Business Process Modeling
• +3 more

Onur Demirörs is a prominent researcher in software engineering with a focus on functional size measurement, agile methodologies, business process modeling, and ontology development. He has collaborated extensively with scholars like Hüseyin Ünlü, Tuna Hacaloglu, and Özden Özcan Top across publications in journals such as Software Practice and Experience , Information and Software Technology , and conferences like SEAA and IWSM-Mensura. Research Themes: Software size/effort estimation, agile practices, process modeling, and ontology development Methodologies: Systematic literature reviews, case studies, empirical investigations Tools: COSMIC FSM, UPROM, PROMPTUM His articles analyze how functional size measurement bridges problem-solution domains, the role of NLP in size prediction, and maturity models for Industry 4.0. Scientific awards and student advisement aren't documented in this dataset.

• International Logistics
• International Marketing
• International Business

Nazlıcan DİNDARİK is a full-time Lecturer at Bartın University's Faculty of Economics and Administrative Sciences, Department of International Trade and Logistics, and concurrently holds a position at Doğuş University's Vocational School. She earned her PhD in International Trade from Istanbul Commerce University (2020–2024), a Master's in Logistics Management from the same institution (2017–2019), and dual Bachelor's degrees from Anadolu University (International Trade and Logistics) and Dokuz Eylül University (Business Administration). Her research centers on: International Logistics : Digital transformation, disaster logistics, and Industry 4.0 applications. International Marketing : Consumer behavior in smart logistics ecosystems. International Business : Innovation orientation and cross-border supply chain strategies. Her recent publications (2019–2025) focus on digital transformation in logistics, humanitarian aid operations, and Industry 4.0 maturity in SMEs. She has contributed to three projects, including a TÜBİTAK initiative on humanitarian aid logistics (2024) and an industry-research collaboration on Industry 4.0 awareness (2022–2023). No awards are documented.

• Corporate Finance
• Financial Markets

Luís Miguel da Silva Laureano is an Assistant Professor at ISCTE Business School and an associate researcher at BRU-Iscte - Business Research Unit . He holds a PhD in Management (Finance specialization) and has authored/co-authored multiple publications in national and international journals. PhD in Management (Finance) - ISCTE-IUL (2010) Master's in Information Systems Management - ISCTE-IUL (2001) Bachelor's in Business Organization and Management - ISCTE-IUL (1996) His research focuses on Corporate Finance and Financial Markets , with recent work on gold hedging properties, debt maturity structures, and financial incentive management. He has co-authored several Portuguese finance textbooks. His recent publications analyze topics like gold's safe haven role , asymmetric banking profitability , and predictive models for EU financial incentives , with citations across Web of Science (424), Scopus (320), and Google Scholar (696).

Florije IsmailiView profile

Professor

• Machine Learning
• Semantic Web
• Data Mining
• +6 more

Florije Ismaili is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University (SEEU) in Tetovo, Macedonia. With a PhD in Computer Science from Technical University of Sofia and a Master's in Informatics from New Bulgarian University, her research focuses on Machine Learning , Semantic Web , Internet of Things (IoT) , and Data Mining . She has led research initiatives and taught courses including Web Programming and Distributed Systems. Doctor of Computer Science (2011), Technical University of Sofia, Bulgaria Master of Science (2005), New Bulgarian University, Sofia Bachelor of Mathematics (2003), EGE University, Izmir, Turkey Her publications demonstrate expertise in applying Machine Learning to domains like education, healthcare, and smart farming. She specializes in Semantic Web techniques for IoT data integration and causal reasoning in complex datasets. Recent work includes predictive modeling of student success and ethical considerations in AI applications. Professor Ismaili's research spans IoT semantic annotation, Cloud Computing architectures for healthcare, and causal rule mining. She has contributed to journals such as IEEE Transactions and Springer publications, with a focus on contextual data integration and ethical data analysis. Her career at SEEU includes prior roles as Assistant Professor, Head of Research Office (CST Faculty), and Young Assistant. She has collaborated on projects addressing database migration, hate speech detection, and e-Government maturity assessment.