جست‌وجوی استاد و پژوهشگر

Martina Musteenمشاهده پروفایل

استاد

• International Business
• International Entrepreneurship
• Global Business Development
• +۳ مورد دیگر

Martina Musteen serves as the Charles W. Hostler Professor of Global Business at San Diego State University's Fowler College of Business, where she also directs the Wendy Gillespie Center for Advancing Global Business and advises academic programs. Her career spans nearly two decades at SDSU since joining in 2006 after completing her Ph.D. at the University of Kansas, with significant contributions to international business education and research. Education: Ph.D. in Business Administration, University of Kansas (2006) MBA, University of Kansas (2000) B.A. in Business Management, University of Maryland (1999) Professor Musteen's research centers on international entrepreneurship and global business strategy , with particular expertise in how entrepreneurial firms internationalize, foreign market entry modes, and spatial dimensions of international venturing. Her work bridges theoretical frameworks with practical applications in emerging markets and service offshoring, emphasizing how institutional contexts shape global business decisions. She employs both quantitative and qualitative methodologies to explore behavioral aspects of internationalization. Her 15 most recent publications reveal a strong trajectory in cross-border acquisitions , SME internationalization , and digital transformation in global business. Key themes include pandemic impacts on global value chains, crowdfunding platforms for international opportunities, and cultural intelligence development. The research consistently applies multidisciplinary lenses spanning strategic management, entrepreneurship, and institutional theory. Scientific Recognition: Program Excellence Award, NASBITE (2025) Most Influential Professor awards in MSGBD and MBA programs Teaching Excellence Award (2022) Faculty Monty Award for university contributions (2017) Professor Musteen actively mentors through three signature programs: the International Business Opportunity Development (IBOD) consulting project with international startups, the Live Case project with local companies expanding globally, and the International Business Development Practicum requiring student travel abroad. She serves as Senior Editor for the Journal of World Business and Editor-in-Chief of ie-scholars.net, significantly shaping scholarly discourse in international business while directing the Wendy Gillespie Center's initiatives. Through the Wendy Gillespie Center for Advancing Global Business, she leads initiatives connecting academic research with practical business applications, including international consulting projects that send students abroad to develop market entry strategies. Her leadership extends to conference organization, including chairing the California Entrepreneurship Educators Conference and serving on editorial boards for top journals.

Hugh Chipmanمشاهده پروفایل

استاد

• Statistical Learning
• Data Mining
• Bayesian Methods
• +۵ مورد دیگر

Hugh Chipman is a Professor in the Department of Mathematics and Statistics at Acadia University , Canada. He holds a BScH (Acadia), MMath and PhD (University of Waterloo), and is a P.Stat. member of the Statistical Society of Canada. Education: BScH, Acadia University MMath, University of Waterloo PhD, University of Waterloo P.Stat. (Professional Statistician) Research Interests: Dr. Chipman specializes in statistical learning and data mining with applications to complex data structures. Key areas include Bayesian ensemble methods , tree-based models , design of experiments , network analysis , and high-dimensional data problems. He has contributed to drug discovery and functional data monitoring through computational statistics. Recent Talks: His 2024 presentation at UNC Chapel Hill focused on simulation studies for experimental design. Earlier work (2015) addressed big data education at Dalhousie University, while 2011-2014 talks covered active learning and network data mining at institutions like Harvard and MITACS. Scientific Awards: Co-organizer of NSERC-funded workshops Contributed to major statistical learning summer schools (e.g., AARMS 2014) Teaching: Courses include Statistics I and Design and Analysis of Experiments . He maintains software tools like BART (Bayesian Additive Regression Trees) and hybrid hierarchical clustering algorithms.

Eric Meyerمشاهده پروفایل

استاد

• Social Informatics
• e-Research
• Digital Humanities
• +۷ مورد دیگر

Eric Meyer is a Professor at the Oxford Internet Institute (OII), University of Oxford, specializing in social informatics and e-Research. His work focuses on understanding how digital technologies transform research practices, particularly in the humanities and social sciences. University of Oxford, Oxford Internet Institute Professor of Social Informatics Director of research projects on digital scholarship Meyer's research interests span social informatics, digital humanities, e-Research, and the socio-technical aspects of digital scholarship. He investigates how researchers use digital tools and resources, with particular attention to the impact of digital archives and big data on scholarly practices. His work bridges information science, sociology of science, and digital humanities, examining the complex interplay between technology and research practices. His publication record shows a strong focus on the transformation of research in the digital age, with particular attention to digital archives, research data management, and the adoption of web technologies in scholarly work. Over the past decade, his research has increasingly addressed privacy implications of digital research infrastructure and the socio-economic aspects of internet technologies. ASIS&T ProQuest Dissertation of the Year Award Meyer has led numerous research projects examining the impact of digital collections on humanities scholarship, including studies of Early English Books Online (EEBO) and House of Commons Parliamentary Papers (HCPP). His work often involves collaboration with libraries, archives, and research infrastructure providers to understand and improve digital research environments. He has been actively involved in European research initiatives such as SESERV, focusing on socio-economic aspects of future internet technologies. As a prominent figure in the digital humanities community, Meyer has organized and contributed to numerous summer schools and workshops, including the Oxford Digital Humanities Summer School and the OII Summer Doctoral Programme, helping to train the next generation of digitally-enabled humanities scholars.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

• (Applied) microeconomics
• Experimental and Behavioral Economics
• Labor Economics
• +۴ مورد دیگر

Wladislaw Mill is a non-tenured Assistant Professor of Behavioral Economics in the Department of Economics at the University of Mannheim, Germany. His research investigates the intersection of morality and economic systems, focusing on the "dark side" of human behavior including discrimination, corruption, power abuse, tax evasion, war experiences, and spiteful economic decisions. Mill's research program spans Applied Microeconomics, Experimental and Behavioral Economics, Labor Economics, Political Economy, Public Economics, Economic Theory, and Economics of Crime. He employs a methodological toolkit combining theoretical modeling with laboratory, online, and field experiments, supplemented by big-data approaches (web-scraping) and machine learning tools (computer vision) to establish causal relationships in complex social settings. His work addresses critical questions about how discrimination shapes job networks, what drives power abuse, how war experiences affect religiosity, and how spiteful preferences manifest in economic behavior. His recent publications (2021-2025) reveal a cohesive focus on experimental investigations of destructive social dynamics, norms, and behavioral anomalies. Key thematic clusters include spite in strategic interactions (auctions, litigation), discrimination in professional contexts, the socio-psychological impacts of conflict and war, and the economic consequences of polarization. This body of work consistently bridges theoretical innovation with empirical validation through diverse experimental methodologies. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: The available documentation does not specify doctoral advisees, research grants, or funding sources. Labs and Teams: Mill is affiliated with the Collaborative Research Center TR 224 (CRC TR 224) at the University of Bonn as indicated in their member directory, while maintaining his primary appointment at the University of Mannheim. His research leverages both institutional environments for experimental and field-based investigations.

Lindsey M. Yonishمشاهده پروفایل

استادیار

• Organizational Behavior
• Stakeholder Theory
• Social Inequality in Organizations
• +۲ مورد دیگر

Lindsey M. Yonish serves as Assistant Professor in the Management and Entrepreneurship academic area at the University of Kansas School of Business, where her research examines organizational interfaces with social environments through stakeholder, sociological, and social psychological lenses. Education: Ph.D. in Management, Texas A&M University, 2024 B.S., Northeastern University, 2019 Her scholarly work investigates organization-stakeholder relationships and systemic inequality perpetuation within corporate structures, with particular focus on contemporary phenomena like organizational cancellation, gender dynamics in leadership, and AI's societal implications. This interdisciplinary approach bridges management theory with critical social analysis to address power imbalances in organizational contexts. Recent publications reveal evolving research trajectories examining stakeholder theory applications to emerging technologies, gender diversity impacts on strategic decision-making, and social evaluation mechanisms affecting organizational legitimacy. These works collectively demonstrate methodological innovation through big data applications while maintaining strong theoretical grounding in organizational sociology.

• Global Health
• Epidemiology
• Musculoskeletal Diseases
• +۱۱ مورد دیگر

Dr. Evelyn Hsieh Donroe, MD, PhD, is an Associate Professor of Medicine (Rheumatology) and Chronic Disease Epidemiology at Yale University, with additional roles as Chief of Rheumatology at VA Connecticut Healthcare System and Network Lead for the Yale Network for Global Non-Communicable Diseases (NGN). She bridges biomedical and behavioral sciences to develop prevention strategies for osteoporosis, sarcopenia, and fractures in low-resource settings. Education: AB in Molecular Biology (Princeton), MD (Stony Brook), MPH (Harvard), PhD in Investigative Medicine (Yale) Research Focus: HIV-related musculoskeletal comorbidities in economic transition countries (China, Peru), secondary osteoporosis in chronic conditions (RA, breast cancer), and VA-based studies leveraging the Veterans Aging Cohort. Key Projects: Quarterly Vitamin D supplementation trials in China, fracture risk prediction tools for veterans, and NCD care integration for HIV patients in Peru. Scientific Contributions: Developed BoneScore NLP algorithm for DXA data extraction, conducted cross-national studies on HIV-aging, and leads global capacity-building programs through CMB Fellowships and Fulbright scholarship. Awards: 2018-2019 U.S.-China Fulbright Scholar 2016 Stony Brook 40 under Forty Alumni Award American College of Rheumatology Distinguished Fellow (2013) Mentorship: Directs Global Health Emerging Scholars Program, CMB Global Health Fellowship Programs, and NIH T32 Training Program in Rheumatology.

C. Michael Gibsonمشاهده پروفایل

استاد پژوهشی

• Interventional Cardiology
• Cardiovascular Research
• Clinical Trials
• +۳ مورد دیگر

C. Michael Gibson, MD is a leading interventional cardiologist, cardiovascular researcher, and educator at Harvard Medical School , where he serves as the Chief Executive Officer of the Baim Institute and PERFUSE Research Institute . These institutes have led over 1,000 studies and 5,500 peer-reviewed publications, including 144 in the New England Journal of Medicine . Key Roles: Director of Coronary Care Unit, Cardiac Catheterization Laboratory Director, Chief of Cardiology, Vice Chairman of Medicine Education: BS, MS, and MD from the University of Chicago (Phi Beta Kappa, AOA), followed by training at Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center Research Focus: Pioneered the open artery and microvasculature hypothesis in heart attacks, developed widely used coronary blood flow measures (TIMI frame count, TIMI myocardial perfusion grade), and leads virtual clinical trials like the HEARTLINE trial of the Apple Watch. Current work includes Factor XI inhibitors (milvexian) and apolipoprotein AI infusions for cardiovascular disease. Scientific Contributions: Over 148,000 citations, 659 publications, and leadership in guidelines like the Bleeding Academic Research Consortium . Notable trials include ANDexanet Alfa for anticoagulant reversal and the PEERLESS study comparing mechanical thrombectomy to thrombolysis in pulmonary embolism. Leadership: FDA Cardiorenal Panel member (2017–2021), founder of WikiDoc.org and ClinicalTrialsResults.org Media Influence: Chief Medical Correspondent for the American College of Cardiology, 435K+ social media followers Scientific Awards: Consistently ranked among the world’s most highly cited authors (Thomson Reuters, 2014–present), 50 Most Influential Voices in Healthcare (Medika Life, 2021), and Boston’s Top Doctors (multiple years).

• Industrial Dynamics
• Firm Growth and Survival
• Entrepreneurship
• +۵ مورد دیگر

Alex Coad is Professor at Waseda University’s Graduate School of Business and Finance, Faculty of Commerce, Tokyo. A 2007 PhD graduate of Université Paris 1 Panthéon-Sorbonne, he specialises in industrial dynamics, entrepreneurship and applied econometrics, with field-leading work on high-growth firms, innovation policy and firm survival. Education PhD student, Université Paris 1 Panthéon-Sorbonne, 2004-2007 Research Interests Coad’s research straddles three tightly linked domains: (i) the life-cycle of firms—how they start, grow, innovate and exit; (ii) the identification and support of high-growth enterprises (gazelles, scale-ups) and their role in job creation and productivity; and (iii) the econometric evaluation of innovation and entrepreneurship policies, including post-crisis resilience after COVID-19. He employs large micro-data panels, quasi-experimental designs and, more recently, machine-learning techniques to uncover robust empirical regularities. Publication Landscape Across 119 Scopus-indexed papers (h-index 44) and 17 000+ Google-Scholar citations (h-index 59), Coad’s recent output reveals three dominant streams: (1) policy-oriented studies on European high-growth firms and scale-ups; (2) COVID-related analyses of firm vulnerability, investment expectations and recovery paths; and (3) methodological contributions linking random-forest prediction to gazelle identification. His work consistently blends rigorous econometrics with actionable policy insight. Honours & Awards 2021 Waseda Research Award Teaching & Doctoral Supervision At Waseda he teaches graduate courses in Firm Growth & Innovation, Econometrics, Time-Series Analysis, Data-Science for Management and Japan Industry Studies, and supervises research seminars for the MSc in Finance. No individual student names are listed in the supplied material. Grants & Teams Coad leads or co-leads large EU-funded micro-data projects on productivity, innovation and COVID resilience, often involving cross-country research consortia; specific grant numbers or budgets are not disclosed in the text.

• Parallel Computing
• High Performance Computing
• Data-Intensive Computing
• +۳ مورد دیگر

Geoffrey C. Fox serves as Professor and Director of the Digital Science Center at Indiana University Bloomington's Luddy School of Informatics, Computing, and Engineering, with over 1,200 publications spanning physics and computer science. His career encompasses foundational contributions to parallel computing methodology, algorithms, and data-intensive systems. Educational background includes a PhD in Theoretical Physics from Cambridge University. Fox's research focuses on synergies between high-performance computing and data analysis, pioneering decomposition principles for MIMD hypercubes and message-passing efficiency. He developed innovative systems like Twister (enhanced MapReduce for iterative computations) and SPIDAL (Scalable Parallel and Interoperable Data-intensive Application Library), bridging HPC with data-intensive applications through architectures comparable to Apache Spark and Flink. Major recognitions include: ACM-IEEE CS Ken Kennedy Award (2019) for foundational contributions to parallel computing methodology, algorithms, software, and data analysis interfaces with broad applications ACM Fellow (2011) for contributions to high-performance computing software applications and diversity outreach Fox demonstrates exceptional commitment to community engagement through teaching Java and parallel computing courses to Historically Black Colleges and Universities since 1997, creating a Computerworld-recognized 'Big Data Applications' MOOC, and leadership roles in Open Grid Forum and Java Grande Forum standards development. As principal investigator of the FutureGrid cyberinfrastructure testbed, he enabled novel scientific computing approaches while serving as General Chair for multiple conferences. He directs Indiana University's Digital Science Center and leads the SPIDAL project, which supports diverse data-intensive applications across high-performance computing platforms through interoperable library frameworks.

• Survey Methodology
• Economic Statistics
• Big Data Analysis
• +۳ مورد دیگر

Daniele Toninelli is an Associate Professor of Economic Statistics (SECS-S/03) at the University of Bergamo's Department of Economics, where he also serves as Director of the 'Data Analyst for Strategic Decisions' program, Internship Manager for the department, and member of the School of Economics and Management's Joint Teacher-Student Commission. His educational background includes a PhD in Marketing for Business Strategies (University of Bergamo, 2009), Master's in Statistics for Market Research (University of Milan-Bicocca, 2004), and Degree in Statistical and Economic Sciences (University of Milan-Bicocca, 2003). Toninelli's research focuses on: Survey and web survey methodology design and optimization Integration of big data for economic and social indicators Development of price indexes and composite indicators Social media analytics for economic measurement His work bridges statistical theory with applications in labor markets, sustainability metrics, and environmental data analysis. Teaching activities encompass undergraduate and graduate courses including Economic Statistics, Quantitative Methods for Business Data Analysis, Advanced Business Statistics, and specialized 'Data Skills' modules covering visualization, survey methods, and SAS certification preparation. International research collaborations include visiting positions at Statistics Canada (2008-2013), University of Ottawa (2012-2013), VŠB-Technical University of Ostrava (2012-2013), RECSM at Universitat Pompeu Fabra (2014), and guest lectures at University of Ljubljana (2018). He previously served on the management committee of the WEBDATANET network (COST Action IS1004). Professional experience includes roles at PiTre Milan, IBM Semea/Celestica, and Multiplex Arcadia, applying statistical expertise in industrial settings.

Bruno J. Strasserمشاهده پروفایل

استاد

• History of Science
• History of Medicine
• History of Society
• +۵ مورد دیگر

Bruno J. Strasser is a Full Professor in the Biology Section at the University of Geneva and an Affiliate Professor at Yale University. His academic career spans multiple prestigious institutions across Europe and North America, with expertise in the history of science, medicine, and society. Professor Strasser received his PhD from the University of Geneva and University of Paris 7 in 2002. His academic journey includes positions as Assistant Professor at Yale University, Visiting Professor at the University of Manchester and University of Barcelona, Visiting Fellow at Princeton University, and Senior Lecturer at the University of Lausanne. He also held research fellowships at the Max Planck Institut für Wissenschaftsgeschichte in Berlin and Ecole Normale Supérieure in Paris. Strasser's research focuses on the historical intersections of science, medicine, and society. His work explores how scientific knowledge is produced, disseminated, and interacts with broader social contexts. He has made significant contributions to understanding the history of public participation in science, international scientific cooperation during the Cold War, the interactions between experimental science and clinical medicine, and the transformations of the pharmaceutical industry. His research also examines the development of scientific instrumentation and the role of collective memory in shaping scientific practices. Analysis of Strasser's recent publications reveals a strong focus on citizen science, public participation in scientific research, and the historical evolution of scientific practices. His work spans disciplines including history of science, history of medicine, sociology of science, and science and technology studies. Key themes include the relationship between expertise and democracy, the transformation of scientific data practices, and the historical development of scientific instruments and methodologies. Strasser has received notable recognition for his scholarly work: Henry-E. Sigerist prize 2006 for his book "La fabrique d'une nouvelle science: La biologie moléculaire à l'âge atomique, 1945-1964" As an academic mentor, Strasser oversees a research group that includes Véronique Stenger, Yuhann Guffroy, Eloïse Richard, Lucas Muller (affiliate), David Roberston (affiliate), Kostas Kampourakis, Séverine Perron, Annabelle Wilson, and Olivier Sutter. His research has been supported by various academic institutions and scholarly grants that have enabled his extensive historical investigations across multiple continents. He has collaborated with numerous international scholars, particularly in Europe and North America, to advance the field of history of science. Professor Strasser co-founded and developed the Bioscope, an outreach laboratory in 2014, demonstrating his commitment to public engagement with science history. His research group maintains active collaborations across institutions, with several affiliate members extending the reach of his scholarly network.

• Systems biology
• Artificial Intelligence
• Neural Networks
• +۷ مورد دیگر

Professor Sandhya Samarasinghe is a leading researcher at Lincoln University's School of Landscape Architecture where she directs the Complex Systems, Big Data and Informatics Initiative (CSBII). With expertise spanning computational biology, AI, and complex systems modeling, she bridges theoretical frameworks with practical applications across biological, agricultural, and environmental domains. PhD, Virginia Tech, Blacksburg, United States MS, Virginia Tech, Blacksburg, United States MSc, International University of Moscow, Moscow, Russia Professor Samarasinghe's research centers on developing advanced computational methodologies for modeling complex systems. Her work explores how soft computing techniques—including neural networks, fuzzy systems, and machine learning—can unravel complexity in biological networks and environmental systems. She advances the view of living organisms as evolved information systems and develops conceptual frameworks for understanding biological complexity from molecular to organismal levels. Her research has significant applications in medical diagnostics, sustainable agriculture, and environmental management. Analysis of her recent publications reveals a strong emphasis on neural network applications across diverse domains, with particular focus on biological systems modeling, Alzheimer's disease research, agricultural technology, and environmental sustainability. Her work consistently integrates theoretical computational approaches with practical problem-solving. Fellow of Modelling and Simulation Society of Australia and New Zealand Senior Member of IEEE Visiting Fellow at Oxford University Visiting Fellow at Princeton University Visiting Fellow at Stanford University Visiting Fellow at CSIRO Professor Samarasinghe has supervised over 25 postgraduate students across diverse research areas including mastitis detection in dairy cattle, neural modeling of cell cycles, autonomous self-repair systems, and computational approaches to vaccine development. She leads the Complex Systems, Big Data and Informatics Initiative which develops cutting-edge computing solutions for complex biological and environmental challenges.

• Artificial Intelligence
• Decision Making under Uncertainty
• Machine Learning
• +۶ مورد دیگر

Núria Agell Jané is a Full Professor in the Department of Operations, Innovation and Data Science at ESADE Business School. She also serves as a researcher at the ESADE D3 - Institute for Data-Driven Decisions. With a PhD in Applied Mathematics from UPC (Universitat Politècnica de Catalunya), her academic career spans several decades with significant contributions to artificial intelligence and decision science. Her research focuses on developing Artificial Intelligence techniques for decision making under uncertainty. Specifically, she works on systems with automatic learning, qualitative and fuzzy reasoning, multi-criteria decision making, group decision systems, recommendation systems, and consensus modeling. Her methodological approach combines theoretical foundations with practical applications in business contexts, particularly in marketing and strategic decision making. Her recent publications demonstrate a strong trend toward applying hesitant fuzzy linguistic approaches to complex decision problems across diverse domains including media analysis, food waste reduction, healthcare fraud detection, and sustainable energy planning. These works consistently integrate AI methodologies with real-world business challenges, showing her commitment to bridging theoretical research with practical applications. Professor Agell has directed or co-directed 11 doctoral theses and maintains active research collaborations with institutions including The University of Edinburgh Business School. She coordinates the Research Group Judgements and Decisions in the Market Place (JUICE), which focuses on applying AI to business decision contexts. Her research has been supported by multiple projects related to AI applications in marketing and business strategy.

• Statistical Genetics
• Spatial Statistics
• Machine Learning
• +۳ مورد دیگر

Arkajyoti Saha is an Assistant Professor in the Department of Statistics at the Donald Bren School of Information and Computer Sciences , University of California, Irvine. Previously, he was a UW Data Science Postdoctoral Fellow at the University of Washington, working with Drs. Daniela Witten and Jacob Bien. His academic journey includes a PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (advised by Drs. Nilanjan Chatterjee and Abhirup Datta), and bachelor's/master's degrees in Statistics from the Indian Statistical Institute, Kolkata. Research Focus: His work bridges statistical methodology and computational tools for high-dimensional and spatially dependent data. Key areas include scalable algorithms for spatial genomics, environmental monitoring, and machine learning applications such as random forests for dependent data. He also develops R packages like RandomForestsGLS to address challenges in correlated data analysis. Publications: His recent work spans spatial variable gene identification, fuzzy clustering theory, and environmental sensor calibration. He emphasizes methodological innovation in statistical genetics and geospatial statistics. Education & Mentorship: Encourages prospective students to contact him directly. His academic background reflects a strong foundation in theoretical and applied statistics, with a focus on bridging computational efficiency and statistical rigor.