جست‌وجوی استاد و پژوهشگر

Scott Sternمشاهده پروفایل

استاد

• Innovation Economics
• Entrepreneurial Strategy
• Innovation Policy
• +۳ مورد دیگر

Scott Stern is the David Sarnoff Professor of Management at the MIT Sloan School of Management, specializing in the economics of innovation and entrepreneurship. His research focuses on entrepreneurial strategy, innovation-driven ecosystems, and policy. Stern holds a BA from NYU and a PhD from Stanford. He is a leading scholar in regional innovation ecosystems, having co-founded MIT’s Regional Entrepreneurship Acceleration Program (REAP) and co-led the U.S. Cluster Mapping Project. Stern’s work bridges academia and practice, advising startups and governments on innovation strategies. He has been awarded the Kauffman Prize Medal (2005) and the Jamieson Prize (2024). Education: Bachelor of Arts in Economics, New York University Doctor of Philosophy in Economics, Stanford University Research Interests: Stern explores how innovation and entrepreneurship differ from traditional economic activities, emphasizing their strategic and policy implications. Key areas include entrepreneurial ecosystems, regional competitiveness, and the role of institutions in fostering innovation. His frameworks, such as Entrepreneurial Strategy, are taught in MIT Sloan’s curriculum and published in textbooks. Recent Work: Stern’s recent studies address the impact of clusters, the Startup Cartography Project, and the effects of policy on entrepreneurship. He co-authored Entrepreneurship: Choice and Strategy (2024), blending academic rigor with practical insights. Awards and Recognition: Kauffman Prize Medal for Distinguished Research in Entrepreneurship (2005) Jamieson Prize (2024) 2021 Innovation in Entrepreneurship Pedagogy Award Grants and Initiatives: Stern directs the National Bureau of Economic Research’s Innovation Policy Working Group and advises the Social Progress Index. His executive education courses, including Strategy for Startups , integrate theory and practice for leaders. Labs and Teams: Stern collaborates with institutions like the National Academy of Sciences and co-leads MIT’s innovation initiatives, fostering cross-sector partnerships to advance entrepreneurship and policy.

• Trustworthy Machine Learning
• Adversarial Learning
• Causal Representation Learning
• +۶ مورد دیگر

Associate Professor Tongliang Liu is affiliated with the School of Computer Science at the University of Sydney, serving as Director of the Sydney Artificial Intelligence Centre and Trustworthy Machine Learning Lab. He holds a BEng and PhD, and is an ARC Future Fellow. His research focuses on trustworthy machine learning, including adversarial defense, causal representation learning, and robust AI systems. He has authored over 200 papers in top venues like NeurIPS and ICML, and serves as co-Editor-in-Chief of Neural Networks. Research Interests: Developing reliable algorithms for machine learning, emphasizing generalizability and safety. Specific areas include learning with noisy labels, causal inference, and foundational model ethics. He aims to bridge theoretical guarantees and practical applications in computer vision and data mining. Awards: 2024 CORE Award, 2023 IEEE AI's 10 to Watch, 2022 ARC Future Fellowship. Notable recognitions include Eureka Prize shortlist and DECRA. Advising & Grants: Supervises 12 PhD/Master’s students on topics like trustworthy AI, causal discovery, and quantum machine learning. Leads grants on robust learning and AI safety. Labs: Sydney AI Centre and Trustworthy Machine Learning Lab.

• Statistics
• Data Science
• Business Analytics
• +۷ مورد دیگر

Dr. Shirley Coleman is a distinguished Professor at Newcastle University Business School, specializing in the application of statistical methods to business and industrial problems. With over two decades of academic contributions, she has established herself as a leading expert in statistics, data science, and quality management within industrial contexts. Her research interests span several interconnected domains: Statistics, Data Science, Business Analytics, Quality Management, Six Sigma methodologies, Kansei Engineering (which integrates emotional design with product development), Industrial Statistics, Design of Experiments, Predictive Maintenance, and Customer Lifetime Value analysis. Coleman's work consistently bridges theoretical statistical concepts with practical business applications across diverse sectors including healthcare, manufacturing, facilities management, and digital marketing. Analysis of her recent publications reveals a strong focus on the evolving role of statistics in the digital age, particularly examining how statistical expertise contributes to AI development, Industry 4.0 initiatives, and data-driven business transformation. Her work demonstrates increasing emphasis on customer analytics, predictive maintenance modeling, and the strategic implementation of data science in small and medium enterprises. Coleman's publications frequently address methodological challenges while maintaining strong practical relevance for industry practitioners. Throughout her career, Coleman has been actively involved with the European Network for Business and Industrial Statistics (ENBIS), contributing to the development and dissemination of statistical methods in business contexts. Her collaborative approach is evident in numerous co-authored publications across disciplines, demonstrating her ability to work effectively with researchers from diverse fields including engineering, healthcare, and business management. Her advisory work appears focused on helping organizations implement statistical thinking in business processes, with particular attention to small and medium enterprises seeking to leverage data analytics for competitive advantage. Though specific grant information isn't detailed in the available publications, her extensive industry-focused research suggests significant engagement with practical business problems and industry partnerships. Dr. Coleman has made substantial contributions to the field through her leadership in professional organizations, particularly ENBIS, where she has helped shape the discourse around industrial statistics and their business applications. Her work on Kansei Engineering demonstrates innovative approaches to integrating human factors with statistical methods for product development.

Jun Liمشاهده پروفایل

استاد

• Applied Statistics
• Bioinformatics
• Biostatistics
• +۴ مورد دیگر

Jun Li is a Full Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He specializes in developing statistical and computational methods for big data, with a focus on interdisciplinary applications in bioinformatics, machine learning, and data mining. His career includes tenure as an Assistant Professor (2012–2017) and promotion to Associate Professor (2017) before becoming Full Professor (2020). Dr. Li holds a Ph.D. in Statistics from Stanford University (2012), supervised by Robert Tibshirani, and earlier degrees from Tsinghua University: a B.E. in Automation (2004) and an M.S. in Pattern Recognition and Intelligent Systems (2007). Research Interests : Dr. Li’s work centers on advancing computational frameworks for handling large-scale datasets, integrating statistical rigor with algorithmic innovation. Recent themes include AI-driven code improvement, ethical LLM applications in HCI, and GUI automation. His methodologies emphasize human-AI collaboration and transparency in algorithmic systems. Publications : His 2025 work explores LLM vulnerabilities in GUI agents, AI-assisted education tools like GLITTER, and ethical challenges in HCI research. Earlier studies (2024–2023) address topics such as natural language database queries, privacy-preserving app promotion analysis, and multimodal task learning. Lab/Teams : Affiliated with Notre Dame’s computational statistics research groups, focusing on interdisciplinary projects bridging statistics, computer science, and applied mathematics. His work often involves collaborations with industry and academic partners to translate theoretical advancements into practical applications.

Ke Yangمشاهده پروفایل

استادیار

• Algorithmic fairness
• Data ethics
• Data management
• +۷ مورد دیگر

Ke Yang serves as Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), College of Sciences. He founded and leads the Cohort for AI REsponsibility (CAREAI) initiative, while also holding core faculty positions in UTSA's School of Data Science and MATRIX (AI Consortium for Human Well-being). Education: Ph.D. from New York University (supervised by Prof. Julia Stoyanovich) Research Focus: Dr. Yang's work centers on AI trustworthiness and responsibility , with specialized expertise in algorithmic fairness, data ethics, and human-centered data science. His research addresses critical challenges including Large Language Model hallucinations, explainable AI frameworks, and algorithmic accountability mechanisms. He actively develops open-source tools like Ranking Facts and FairDAGs to implement these principles in practical systems. Publication Trends: Recent work (2020-2025) demonstrates evolving focus from foundational fairness in ranking systems toward generative AI safety and medical applications. His publications show strong theoretical grounding combined with real-world implementation, particularly in privacy policy analysis and medical question-answering systems using causal inference techniques. Scientific Recognition: Pearl Brownstein Doctoral Research Award (NYU Tandon School of Engineering) CDS Postdoctoral Fellowship (University of Massachusetts) Professional Development: Dr. Yang has secured significant research funding including the CDS Postdoctoral Fellowship at UMass. His graduate work at NYU and Drexel University was fully supported by research assistantships, demonstrating consistent funding acquisition throughout his career. He actively contributes to academic community building through conference tutorials and educational initiatives. Research Ecosystem: He directs CAREAI at UTSA while collaborating across institutional boundaries through MATRIX and the School of Data Science. Previously, he contributed to the Data systems Research for Exploration, Analytics, and Modeling (DREAM) lab and Center for Data Science at UMass Amherst, maintaining continuity in his responsible AI research trajectory.

• Organizational Behavior
• Interpersonal Trust
• Workplace Emotions
• +۳ مورد دیگر

Daniel J McAllister is an Associate Professor at the National University of Singapore Business School , Department of Management and Organisation. His research explores interpersonal relationships in organizations , with particular emphasis on social emotions , trust dynamics , and their implications for organizational citizenship behavior and ethical leadership . He has published extensively in top-tier journals such as Academy of Management Review, Journal of Applied Psychology, and Academy of Management Journal. Academic Focus: Organizational Behavior, Trust/Distrust, Workplace Emotions Teaching Interests: Technical Knowledge, Practical Application, Ethical Decision-Making Key Courses: MNO2007 (Undergraduate), BMA5004A (MBA), MNO6012A (PhD) McAllister's research spans workplace underdog trajectories, awe in leadership, abusive supervision, and cross-cultural management in China. His work examines how emotions like contempt, envy, and schadenfreude influence organizational outcomes. He emphasizes creating a safe learning environment that integrates theoretical knowledge ( technical ), real-world application ( practical ), and ethical judgment ( wisdom ). McAllister has received consistently positive student feedback for his engaging teaching style , with recent evaluations highlighting improvements in time management and practical relevance. He distributes course materials post-class and avoids rote memorization, prioritizing conceptual understanding. His 2025 work on workplace underdogs and awe-driven leadership continues to shape contemporary organizational theory.

• Digital Service Innovation
• Workplace Learning
• Information Systems
• +۳ مورد دیگر

Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.

Thorsten Schoormannمشاهده پروفایل

دانشیار

• Digital Sustainability
• Circular Economy
• Data Ecosystems
• +۳ مورد دیگر

Thorsten Schoormann is an Associate Professor at Roskilde University's Department of People and Technology, specializing in Sustainable Digitalization. He holds a PhD in Information Systems from the University of Hildesheim (2019), along with MSc (2015) and BSc (2014) degrees in the same field. His research focuses on digital sustainability, circular economy, AI applications, and data ecosystems. He also held an Assistant Professorship at the Technical University of Braunschweig (2023–2025) and was a PostDoc at the University of Hildesheim (2020–2023). Research Interests: Digital transformation, sustainable business models, design science, and AI ethics. Awards: Multiple Best Associate Editor Awards (ECIS 2023/2024), Best Reviewer Award (PACIS 2022), and Best Paper in ICIS Track (2021). Activities: Organized conferences like INFORMATIK 2025 and Hawaii International Conference on System Sciences 2026; editorial roles in journals like European Journal of Information Systems . His work spans theoretical advancements in design science and practical implementations of sustainable technologies, with a focus on unlearning systems, data spaces, and AI-driven sustainability solutions.

• Nursing
• Primary Health Care
• Nursing Education
• +۴ مورد دیگر

Maria Rosa Rifà Ros is a Lecturer in the Department of Nursing and Physiotherapy at the Blanquerna School of Health Sciences, Universitat Ramon Llull. She is an active researcher with 52 publications spanning from 1993 to 2025 and maintains an h-index of 5 with 46 citations. Her research expertise centers on nursing education, primary health care, nursing diagnosis, and immigrant health. Dr. Rifà Ros employs diverse methodologies including cross-sectional studies, qualitative approaches, and systematic reviews to investigate nursing student experiences, pandemic impacts on healthcare education, and health disparities among vulnerable populations. Her fingerprint analysis shows strong focus areas in Nursing Diagnosis (100%), Immigrant Health (94%), and Nursing Student experiences (68%). Recent publications reveal a consistent trajectory examining healthcare inequalities, clinical education environments, and pandemic-related transformations in healthcare delivery. Her work spans both Spanish and international contexts with particular attention to vulnerable populations and healthcare system responses to emerging challenges. Dr. Rifà Ros has been actively involved in the Global Research on Wellbeing (GRoW) project as a researcher from 2017-2021 and continues in this role from 2022-2025, funded by the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). This sustained research commitment demonstrates her dedication to advancing knowledge in health and wellbeing. She has mentored numerous nursing students and collaborated extensively with colleagues including Carrillo Alvarez, Rodríguez Monforte, Salinas Roca, and Costa Tutusaus on research examining healthcare systems, student experiences, and health inequalities. As a key member of the Global Research on Wellbeing group, Dr. Rifà Ros collaborates with an interdisciplinary team across various health science disciplines, contributing her nursing expertise to address complex health challenges through research that directly impacts clinical practice and healthcare education.

Declan Nolanمشاهده پروفایل

مدرس ارشد

• Design to Simulation Automation
• Structural Impact Analysis
• Composite Simulation
• +۸ مورد دیگر

Declan Nolan is a Senior Lecturer in the School of Mechanical and Aerospace Engineering at Queen's University Belfast. He holds a PhD (2013) on 'Defining Simulation Intent,' focusing on automating simulation workflows. Before academia, he worked at Michelin, Williams F1 (as a Stress Engineer), and B/E Aerospace (Senior Structural Engineer), specializing in composite structures and structural integrity. He currently serves as Postgraduate Research Director (since 2022) and is a member of the EPSRC Early Career Forum in Manufacturing and the Circular Economy, and UKACM board member. His research spans design-to-simulation automation, bio-inspired design, and structural impact analysis. Key projects include PROTEUS (reimagining engineering design), COLIBRI (composite research), and Biohaviour (biological development analogies). He teaches Mechanics of Materials and Computer-Aided Engineering courses. Education: PhD in Mechanical and Aerospace Engineering (2013) Affiliations: Chartered Engineer, IMechE Member Grants/Projects: 4 active research grants, including EPSRC-funded initiatives Research outputs include 45+ publications, with recent focus on propulsion system integration, parametric nacelle modeling, and CAD-based machine learning. He has received two Best Paper Awards (2019) for manufacturing research contributions.

• Management of Technology and Innovation
• New Product Development
• Idea Management
• +۷ مورد دیگر

Jan van den Ende is a Full Professor of Management of Technology and Innovation at the Rotterdam School of Management (RSM), Erasmus University. He is also Professor of Horticulture Innovation and a Visiting Professor at LUISS Università Guido Carli in Rome, Italy, reflecting his broad academic engagement across disciplines and institutions. His research centers on the development of new products and services, with a focus on idea management , control of NPD projects , design management , and sustainable innovation . His work is deeply interdisciplinary, spanning innovation management, organizational studies, and strategic management, as reflected in his publications in top journals such as Research Policy , Harvard Business Review , and IEEE Transactions on Engineering Management . The trends in his recent publications highlight a sustained focus on innovation processes in complex environments, including project-based organizations, multinational enterprises, and high-tech industries like video games. His research increasingly explores socio-organizational dynamics such as status, resource scarcity, and entrepreneurial incubation. He has held long-standing editorial roles in leading journals including: Research Policy (Editor since 2003) IEEE Transactions on Engineering Management (Editor since 2007) Journal of Management Studies (Editor since 2009) Service Business (Editor since 2012) He teaches in MBA and Executive Education programs for global firms such as ASML, FrieslandCampina, IFF, and MAN, bridging academic research with industry practice. He has supervised 25 academic works, indicating a strong commitment to mentoring the next generation of scholars. His work contributes to UN Sustainable Development Goals, particularly those related to sustainable economic growth and innovation. He earned his PhD from Delft University of Technology.

Simon Thomasمشاهده پروفایل

مدرس ارشد

• Pilgrimage Tourism
• Heritage Tourism
• Tourism Studies
• +۳ مورد دیگر

Dr. Simon Thomas is a Senior Lecturer at the University of South Wales' South Wales Business School, specializing in Pilgrimage, Memorial & Tourism Studies. He leads the Doctor of Business Administration program and oversees the Tourism, Hospitality and Events Group. With a PhD in Pilgrimage Tourism (2013), he has extensive experience in doctoral supervision and external examining roles across UK institutions. Education: PhD Pilgrimage Tourism, University of South Wales (2013) MA Heritage Tourism, University of Wales Trinity College Carmarthen (2005) PgCert Education (Tourism), University of Wales Newport (2003) BA (Hons) Tourism & Leisure Management, University of Glamorgan (2001) Research Interests: Focused on pilgrimage tourism, heritage tourism innovation, and sustainable tourism development. His work bridges academic inquiry with practical applications, including a Knowledge Transfer Partnership (KTP) with the Cardiff Story Museum rated 'outstanding' by the KTP Board. Key themes include secular pilgrimage dynamics, autoethnographic methodologies, and cultural identity in tourism. Publications: Over 20 peer-reviewed articles and book chapters, including studies on Lourdes pilgrimage, Welsh heritage entrepreneurship, and thanatourism. Recent work explores NGO engagement strategies and digital tourism innovation. Awards: Fellow of the Higher Education Academy (FHEA) Outstanding KTP Board Rating (Cardiff Story Museum collaboration) 4* ABS Full Paper Award Advising & Grants: Supervised over 25 doctoral candidates across business and tourism disciplines. Active in external examining roles (e.g., Coventry University, Bishop Grossteste University) and curriculum design. Led projects funded by the Welsh Government and private sector partnerships. Labs & Teams: Research Lead for the Tourism, Hospitality and Events Group, fostering interdisciplinary collaboration on tourism policy, innovation, and cultural heritage.

Michelle Doasمشاهده پروفایل

دانشیار

• Medical-surgical nursing
• Cardio-thoracic nursing
• Nursing in Long Term Care settings
• +۳ مورد دیگر

Michelle Doas is an Associate Professor of Nursing at Chatham University 's College of Health Sciences , where she has been actively contributing since 2007. Her expertise spans clinical nursing, education, and interdisciplinary research applications. Ed,D., MSN, BSN, RN Research Interests Dr. Doas focuses on critical thinking development in nursing education , adult literacy in healthcare , and reminiscence therapy . Her work bridges clinical practice with pedagogical innovation, exploring how techniques from service industries (e.g., Disney's hospitality model) can enhance patient satisfaction and communication in healthcare settings. Article Trends Her publications and presentations demonstrate a consistent emphasis on improving clinical outcomes through structured interventions like mind mapping for education, relaxation therapy for post-operative care, and concept mapping for knowledge organization. Key themes include patient safety , workplace culture , and interdisciplinary applications in nursing. Scientific Awards She is a member of the prestigious Sigma Theta Tau International Honor Society , recognizing her contributions to nursing scholarship. Additional Contributions Dr. Doas has served on the Business Faculty Search Committee (2008) and presented on diverse topics such as food handling safety in environmental science contexts and nursing career advocacy at high school outreach events.

Gan Sheuo Huiمشاهده پروفایل

مدرس

• Japanese Anime
• Manga Studies
• Animation Aesthetics
• +۵ مورد دیگر

Dr. Gan Sheuo Hui serves as Lecturer in Animation at LASALLE College of the Arts, Singapore, with extensive international engagement through visiting positions at National University of Singapore (NUS), Kyoto Seika University, and the Sainsbury Institute for the Study of Japanese Arts and Cultures. Her academic profile bridges Japanese animation scholarship with Southeast Asian cultural contexts through fieldwork-driven research. Her educational qualifications include: PhD in Human and Environmental Studies from Kyoto University, Japan Master of Communication (Screen Studies) from University of Science Malaysia Bachelor of Communication (Film Studies) from University of Science Malaysia Dr. Gan's research examines Japanese anime, manga, and popular culture through lenses of authorship, censorship, and cultural hybridity, with particular focus on transnational adaptations in Southeast Asia. She integrates theoretical frameworks with empirical fieldwork involving creators, curators, and fans across Asia and the West, emphasizing practical production aspects alongside critical analysis. Her interdisciplinary approach connects film studies, media theory, and cultural anthropology. Her scholarly trajectory reveals consistent exploration of animation aesthetics (especially limited/selective animation), historical evolution of Japanese animation, and hybrid cultural forms in Southeast Asia. Key thematic threads include re-evaluating animation techniques beyond Western paradigms, analyzing global anime circulation, and documenting local adaptations of manga in Malaysia. This body of work demonstrates strong methodological integration of archival research, industry analysis, and ethnographic observation. Scientific recognition includes: Two-year Japan Society for the Promotion of Science (JSPS) Grant for postdoctoral research on Japanese anime history Sainsbury Institute for the Study of Japanese Arts and Cultures Fellowship Dr. Gan has secured competitive research funding including the JSPS grant, and maintains active international collaboration through invited lectures at institutions like Sorbonne, Tokyo University, and Keio University across 20+ countries. Her teaching innovations include NUS modules incorporating Japan-based field studies, reflecting her commitment to experiential learning in Japanese visual culture. While specific student advising isn't detailed, her pedagogy emphasizes creator-fan industry ecosystems. Her research network spans the Archive Center for Anime Studies (Niigata University), Kyoto Seika University's Manga Department, and global symposia, facilitating cross-institutional knowledge exchange on animation history and contemporary media practices.

Shiho Satsukaمشاهده پروفایل

دانشیار

• Sociocultural Anthropology
• Environmental Anthropology
• Science and Technology Studies
• +۳ مورد دیگر

Shiho Satsuka is an Associate Professor of Anthropology at the University of Toronto, Canada, specializing in sociocultural anthropology with regional expertise in East Asia and North America. Her research focuses on the politics of knowledge production , cultural translation of nature , and capitalism-environment relations . She is currently developing a book project titled The Charisma of Wild Mushrooms: Undoing the Long Twentieth Century , examining how mushroom science can destabilize industrial modernity. Ph.D. in Anthropology (University of California, Santa Cruz, 2004) Her ethnographic work spans: Transnational translation of ecological knowledge in Japanese tourism (book: Nature in Translation , Duke 2015) Satoyama forest revitalization movements Matsutake mushroom's role in reimagining interspecies coexistence Comparative studies of Canadian multiculturalism and Japanese coexistence models Publications demonstrate trends in: Multispecies entanglements Environmental knowledge pluralism Decolonizing scientific frameworks Ontological multiplicity in cultural analysis Anthropocene ethnography Collaborative research methodologies Awards and grants include: SSHRC Insight Grant (2016-2022) for Matsutake Worlds research Carson Fellowship (2012) at Rachel Carson Center She supervises graduate students in areas of environmental anthropology and science studies while maintaining a collaborative research network across Japan, North America, and Europe.