جست‌وجوی استاد و پژوهشگر

Xiang Gaoمشاهده پروفایل

استادیار

• Corporate Finance
• Financial Markets and Institutions
• Credit Risk
• +۴ مورد دیگر

Xiang Gao is an Assistant Professor of Finance at the Quinlan School of Business, Loyola University Chicago. His research focuses on corporate finance, financial markets, credit risk, and financial innovation, particularly examining how financial instruments and systems influence firm behavior and risk dynamics. Research Interests: Corporate Finance Financial Markets and Institutions Credit Risk and Fixed Income Debt Maturity Structure Financial Innovation Machine Learning in Finance His recent publications explore topics such as corporate bond maturities, credit default swaps, firm location and risk, and behavioral responses to data breaches. These works appear in leading journals including Management Science , Journal of Financial and Quantitative Analysis , Review of Accounting and Finance , and Journal of Business Research , reflecting a strong empirical and interdisciplinary approach to finance. Scientific Recognition: Research featured by the International Swaps and Derivatives Association (ISDA) Teaching and Advising: Dr. Gao teaches courses such as Principles of Corporate Finance, Introduction to Derivatives, Financial Institutions, and Financial Management. While no formal advisees are listed, he contributes to graduate and undergraduate education in finance. He is involved in research that bridges traditional finance with emerging analytical techniques. Laboratories and Research Centers: Although not explicitly listed as a member, his work aligns with research initiatives at the Lab for Applied Artificial Intelligence and the CME Group Foundation Business Analytics Lab at Quinlan, particularly in applying machine learning to financial data.

• Natural Language Processing
• Data Science
• Network Science
• +۶ مورد دیگر

Ana Rita Peixoto is an Assistant Professor in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, School of Technology and Architecture. She is also an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. Her academic and research activities focus on applied data science, network science, and natural language processing, particularly in the context of social media analysis for tech startups. Her research interests include: Natural Language Processing Data Science Network Science Artificial Intelligence Social Media Analytics Text Mining Ana Rita's recent publications analyze Twitter data to understand startup behavior, community structures, and content evolution over time. Her work combines AI techniques with real-world business applications, particularly in the Portuguese tech ecosystem. She has published in journals such as Applied Network Science and Social Network Analysis and Mining , and presented at conferences including ICPEC 2024 and Ciência 2022. Ana Rita is actively involved in teaching, offering courses such as Introduction to Data Science, Artificial Intelligence, and Data-Driven Decision Making at both undergraduate and master’s levels. She currently supervises two master’s students: Bruno Alexandre Baião de Oliveira and Nicole Lopes Nunes. She is a key participant in the research project ISDAPPP (Information Systems and Data Analysis for Public Policy Planning), which applies data science techniques to public policy challenges, including text analysis of workshop outputs and inequality monitoring.

Ali Türkyilmazمشاهده پروفایل

دانشیار

• Operations and Production Management
• Supply Chain and Operations
• Industry 4.0
• +۷ مورد دیگر

Ali Türkyilmaz is an Associate Professor in the Department of Innovation, Management and Marketing at the UiS School of Business and Law, University of Stavanger. He specializes in operations, production, and sustainable systems management, with a strong focus on digital transformation and Industry 4.0. His research interests include: Operations and Production Management Supply Chain and Operations Industry 4.0 & Digital Transformation Circular Economy and Sustainable Systems Business Analytics and Decision Making Quality & Lean Management His recent publications (2020–2025) demonstrate a consistent focus on digital transformation in industrial and construction contexts, particularly in emerging economies. Key themes include Industry 4.0 readiness, circular economy implementation, smart manufacturing, and pandemic-resilient built environments. His work often employs empirical and simulation-based methods and is published in high-impact journals like Journal of Cleaner Production , Sustainable Production and Consumption , and Building and Environment . Notable scientific contributions include maturity models for Industry 4.0, circular value chain frameworks, and advisory systems for digital transformation. His research is highly collaborative, involving scholars from Kazakhstan, Norway, and other international institutions. He has presented at international conferences such as APMS, MakeLearn, and TIIM, focusing on digital transformation management and Industry 4.0 implementation. While no formal awards are listed, his extensive publication record reflects significant scholarly impact. Ali Türkyilmaz actively contributes to academic discourse through conference presentations and collaborative research. He is involved in developing tools and models for sustainability and digitalization in industry and construction, suggesting ongoing engagement with real-world applications and future research in resilient and sustainable systems.

Tom Brownleeمشاهده پروفایل

استادیار

• Applied Physiology
• Strength and Conditioning
• Sports Performance
• +۷ مورد دیگر

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 Drustمشاهده پروفایل

استاد

• Exercise Physiology
• Football Performance
• Intermittent Exercise
• +۵ مورد دیگر

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)
• +۵ مورد دیگر

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
• +۴ مورد دیگر

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 Yapمشاهده پروفایل

استاد

• Medical Imaging
• Machine Learning
• Neuroscience
• +۳ مورد دیگر

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 Liمشاهده پروفایل

دانشیار

• Medical Imaging
• Neuroimaging
• Machine Learning in Neuroscience
• +۳ مورد دیگر

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 Kumarمشاهده پروفایل

دانشیار مدعو

• Health Systems Strengthening
• Digital Health
• Health Information Systems
• +۴ مورد دیگر

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’Muircheartaighمشاهده پروفایل

دانشیار

• Developmental Neuroimaging
• Neuroscience
• Pediatric Neurology
• +۵ مورد دیگر

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
• +۶ مورد دیگر

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
• +۳ مورد دیگر

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 Cebeciمشاهده پروفایل

استاد

• Quality Management
• Manufacturing Systems Management
• Artificial Intelligence
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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.