جست‌وجوی استاد و پژوهشگر

Matthew Potoskiمشاهده پروفایل

استاد

• Environmental Policy
• Corporate Environmental Management
• Public Policy
• +۴ مورد دیگر

Matthew Potoski is a Professor at the Bren School of Environmental Science and Management, University of California, Santa Barbara. He joined in 2011 after serving on the faculty at Iowa State University. His expertise spans corporate environmental management, voluntary environmental programs, and public policy analysis. He co-authored The Voluntary Environmentalists (Cambridge, 2006) and co-edits the Journal of Policy Analysis and Management and International Public Management Journal . PhD in Political Science (Indiana University) MA in Political Science (University of Vermont) BA in Government (Franklin and Marshall College) His research focuses on transaction costs in public contracting, environmental governance, and collaborative strategies in public-private partnerships. He investigates how voluntary programs and certifications like ISO 14001 influence corporate behavior and policy outcomes. His work bridges political science and environmental management, emphasizing practical solutions for sustainability challenges. Key awards include Iowa State University’s LAS Early and Midcareer Awards for Research Achievement. He teaches courses such as ESM 280: Practical Solutions in Business and Sustainability and ESM 281: Advanced Business and Sustainability . His research highlights the financial and administrative challenges of public procurement, particularly in complex contracts, and explores how collective reputations and institutional designs affect corporate environmental strategies. Current projects include analyzing textile waste in apparel supply chains and the impact of government contracting on transaction costs.

Ali Intezariمشاهده پروفایل

دانشیار

• Decision-Making
• Human-Technology Interaction
• Wisdom Theory
• +۴ مورد دیگر

Ali Intezari is an **Associate Professor of Management and Technology** at the **University of Queensland (UQ) Business School**, part of the **School of Business** within the **Faculty of Business, Economics and Law**. He serves as **Deputy Director for Teaching and Learning (MIBSE)** and holds expertise in decision-making, human-technology interaction, wisdom theory, knowledge management, cultural studies, and Middle Eastern business. His research bridges practical wisdom with contemporary challenges in AI ethics, organizational culture, and leadership. He has authored/co-authored over 30 journal articles, 11 book chapters, and two books, including *Wisdom, Analytics and Wicked Problems* (2019) and *Leadership: Regional and Global Perspectives* (2018). His work emphasizes integrating wisdom into management education and AI systems, addressing ethical and cultural dimensions of technology use. Intezari has presented at conferences like the Academy of Management, Hawaii International Conference on System Sciences, and International Leadership Association. His contributions span interdisciplinary topics such as AI bias mitigation, sustainable leadership, and indigenous conflict management strategies. He has been recognized with multiple teaching and research awards, though specific names remain unlisted. His research also explores cultural variations in AI reliance, sustainable management practices, and the role of philosophy in modern business education. He actively engages with industry through advisory roles and collaborations, advocating for ethical AI deployment and culturally informed decision-making frameworks.

Igor Menezesمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Computer Vision
• Data Science
• +۶ مورد دیگر

Dr. Igor Menezes is a Senior Lecturer (Associate Professor) in Organizational Behavior and People Analytics at the Hull University Business School, part of the University of Hull. He holds dual professional qualifications as a psychometrician and Chartered Psychologist (CPsychol), along with the Graduate Statistician (GradStat) status from the Royal Statistical Society. His academic journey includes postdoctoral research at the University of Cambridge (2013–2014) and a research associate role at the Judge Business School (2016). Education: BSc MSc PhD/DPhil Research Interests: Dr. Menezes specializes in applying advanced quantitative methods to organizational psychology, AI, and computer vision. His work bridges academic theory with practical applications, focusing on: Psychometric model development Causal inference and data science People analytics for business optimization AI-driven solutions for human-centric challenges Awards & Fellowships: Research Productivity Fellowship (CNPq, Brazil, 2014–2016) British Psychological Society Associate Fellowship (AFBPsS) Advising & Grants: With 17+ years of research leadership, he has managed multiple grants and supervised numerous students. Projects include collaborations with industry partners in the UK and Latin America, focusing on workplace behavior assessment and organizational performance improvement. Key Contributions: He has developed validated instruments like the Multidimensional Turnover Intentions Scale and the Cognitive Distortions Questionnaire for Adolescents, emphasizing practical impact through evidence-based methodologies.

• Construction Management
• Digital Transformation in Construction
• Gender Diversity in Leadership
• +۱۲ مورد دیگر

Dr. Xin An is a Lecturer at the School of Mathematics & Statistics of UNSW Sydney , focusing on interdisciplinary research at the intersection of construction management, digital transformation, and gender studies. With affiliations in the School of Mathematics & Statistics, their work applies statistical and computational methods to address challenges in the construction industry. Current research emphasizes construction waste management, building information modeling (BIM), and psychosocial factors affecting workers’ wellbeing. Recent publications highlight gender diversity in leadership, digital tools for course design, and sustainable practices in prefabrication. Key trends in their 15 most recent articles (2022–2025) include applications of machine learning to construction equity, UAV-based monitoring of building displacements, and frameworks for promoting mental health in global south construction sectors.

Stephen Lindsayمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Digital Health
• Assistive Technology
• +۳ مورد دیگر

Stephen Lindsay is a Lecturer in Healthcare Technologies at the University of Glasgow's School of Computing Science. His research in Human-Computer Interaction focuses on digital health, assistive technologies, and participatory design with marginalized groups, especially people with cognitive impairments. Current projects explore collaborative health management, maker spaces for cognitive rehabilitation, and cross-cultural digital health solutions. Lindsay employs participatory action research to co-design technologies with communities in Bangladesh and neurodivergent populations. His publications demonstrate consistent focus on accessibility innovation, with recurring themes in mental health infrastructure, inclusive maker cultures, speech interface accessibility, and community-centered design. Recent work increasingly addresses global health equity through partnerships in South Asia. Lindsay supervises PhD students working on conversational agents for peer support (Wanshu Yu), assistive technologies for neurodivergent adults (Benjamin Phua), and machine learning for e-assessment (Andy Grey).

Jedson Pintoمشاهده پروفایل

استادیار

• Disclosure
• Information Production
• Capital Markets
• +۵ مورد دیگر

Jedson Pinto is an Assistant Professor of Accounting at the University of Texas at Dallas (UTD) since 2020, affiliated with the Naveen Jindal School of Management (JSOM). He holds a PhD from the University of North Carolina at Chapel Hill (2020) and dual MA/BA degrees from FUCAPE Business School (Brazil, 2015). His research focuses on disclosure, information production, and capital markets, with notable work on blockchain transparency, social media toxicity, and regulatory impacts. Education: PhD in Accounting, University of North Carolina at Chapel Hill, 2020 MA in Business, FUCAPE Business School, 2015 BA in Business, FUCAPE Business School, 2015 Research interests include disclosure regulation, machine learning applications in accounting, and the intersection of technology with corporate transparency. His work often addresses real-world puzzles, such as how IPOs affect employee satisfaction or how judge financial disclosures influence legal outcomes. He has published in top journals like Management Science , Journal of Accounting Research , and Journal of Business Finance and Accounting . Awards include the 2022 FARS Excellence in Reviewing Award, multiple teaching excellence nominations, and recognition as a top professor by Poets & Quants. He actively serves as an ad hoc reviewer for leading journals and organizes conferences (e.g., Labor Accounting Group Conference, JSOM Workshops). He mentors several PhD students and contributes to academic service roles like the JSOM Database Committee. His research portfolio reflects a focus on bridging theoretical insights with practical implications for corporate governance, regulatory policies, and market efficiency. Notable projects include analyzing social media toxicity’s impact on capital markets and evaluating the unintended consequences of financial regulations like MiFID II.

Mahmood Shahمشاهده پروفایل

دانشیار

• Cybersecurity
• E-commerce
• Cyber Crimes Prevention
• +۷ مورد دیگر

Mahmood Shah is an Associate Professor in the Marketing Operations and Systems Department at Northumbria University, specializing in cybersecurity, information systems, and e-commerce. He holds a PhD in Computer Science from Brunel University London, focusing on e-banking implementation success factors, alongside an MRes in Computer Aided Manufacturing from Cranfield University and a BSc in Multimedia Systems Design from the University of Bedfordshire. His research interests center on cybersecurity resilience, cybercrime prevention, machine learning applications, and digital innovation. Key topics include fraud prevention in online retail, mitigating cyberbullying, and cybersecurity in financial and government sectors. He actively supervises PhD students exploring these areas. Shah has published extensively on cybersecurity frameworks, technology adoption challenges, and data protection strategies in journals like Journal of Cybersecurity and Privacy and Computers . His work often integrates criminological insights with technical solutions to address modern digital threats. He collaborates internationally on projects involving cybercrime resilience, mobile banking security, and policy frameworks for digital ecosystems. His research emphasizes practical solutions for organizations facing evolving cybersecurity challenges.

Teresa Spießمشاهده پروفایل

استاد

• Digital Transformation
• Artificial Intelligence Applications in Workforce
• Employer Attractiveness
• +۶ مورد دیگر

Prof. Dr. Teresa Spieß is a Professor at Management Center Innsbruck (MCI), specializing in Organizational Behavior & Change Management. She holds a Dr.rer.soc.oec. from Universität Innsbruck (2017), focusing on innovative work behavior and personality traits. Her research explores digital transformation, AI's impact on work, family business dynamics, and employer attractiveness. She leads the MCI Zentrum Familienunternehmen and has held roles including Post-Doc Researcher (2018–present), Hochschullektorin (2018–2021), and project management roles in IT and organizational development. Research Interests: Teresa’s work addresses how digital tools reshape workplaces, generational differences in employment preferences, and challenges in family business leadership. Her projects include employer branding strategies for SMEs and ethical AI applications. She emphasizes practical knowledge transfer, bridging academic research with industry needs. Awards: 2021: Preis der Landeshauptstadt Innsbruck for Dissertation on Innovative Work Behavior 2021: Ars Docendi National Teaching Excellence Award 2019: MCI Teaching Award 2007: Academic Excellence Stipend Teaching & Advising: She teaches courses like Future of Work , Managing Change , and Research Methods . Supervised over 100 theses, focusing on topics like AI ethics, employer attractiveness, and technostress. Active in curricula development for blended learning and digital transformation modules. Research Grants: Led projects funded by Tiroler Wissenschaftsfonds (TWF), Austrian Federal Ministries, and FFG. Topics include family business succession, mobile payment adoption, and EdTech innovations. Labs & Initiatives: Co-founded the MCI Zentrum Familienunternehmen and collaborates with industry partners on gamification, VR education, and AI ethics. Involved in EU-funded EdTech initiatives and serves as a journal reviewer for EURAM.

Marco Guidiمشاهده پروفایل

مدرس

• Corporate Governance
• Financial Ethics
• Corporate Finance
• +۵ مورد دیگر

Dr. Marco Guidi is a Lecturer in Accounting & Finance at the University of Glasgow. He holds a PhD in Asset Pricing from the University of Strathclyde and serves as Convener of the MFin program, Course Coordinator for undergraduate/postgraduate finance courses, and member of the College Ethics Committee and Senate. His research focuses on democratic corporate governance, financial ethics, and risk management, with notable contributions to the 'Moral Debt' model and studies on corporate psychopathy. He has supervised doctoral research on fraud mechanisms in China, institutional investor influence, and corporate governance in Saudi Arabia. Education: PhD in Asset Pricing, University of Strathclyde Teaching: Postgraduate: International Financial Management, Corporate Governance & Accountability Undergraduate: Finance 1, International Financial Management Research Interests: Democratic employee-owned business models Ethical dimensions of corporate governance Risk and uncertainty in financial systems Impact of corporate takeovers on ethical practices Sociological analysis of risk using Pareto insights Grants: ICAS (2010) Seed-Corn Funding: Study of Scott Bader Commonwealth's governance system Professional Roles: Non-Executive Director (external role)

Vincent Ngمشاهده پروفایل

استادیار

• Industrial/Organizational Psychology
• Character Assessment and Development
• Well-being
• +۷ مورد دیگر

Vincent Ng is an Assistant Professor in the Department of Psychology at the University of Houston, within the College of Liberal Arts and Social Sciences. His research centers on industrial-organizational psychology, with a focus on character, well-being, and leadership development. He employs advanced methodologies, including machine learning and big data analytics, to study moral attributes and personality in organizational contexts. Dr. Ng earned his educational degrees as follows: B.A. in Psychology, Vassar College M.S. in Industrial/Organizational Psychology, Salem State University M.S. and Ph.D. in Industrial/Organizational Psychology, Purdue University His research interests span several interrelated domains: Character assessment and development, particularly how moral attributes are measured and how they evolve The relationship between character cultivation and well-being Leadership development and the role of moral characteristics in effective leadership Methodological challenges in measuring socially desirable traits, with a focus on innovative approaches like forced-choice formats and automated assessment He is also actively involved in advancing measurement techniques, including Likert scale development and ideal point modeling. His recent publications reflect a strong trend toward integrating psychological theory with data science. His work explores character measurement (e.g., CIVIC, forced-choice formats), the application of machine learning in personnel selection, behavioral measures of humility, and automated personality assessment via video interviews. These studies combine rigorous psychometrics with cutting-edge computational methods, positioning his research at the intersection of psychology, organizational behavior, and artificial intelligence. Scientific recognition includes: Houston Bar Foundation award for an outstanding legal article (2008) Dr. Ng mentors students and is accepting new advisees for Fall 2025. He collaborates extensively, particularly with Louis Tay and others in organizational and positive psychology. While specific grant details are not listed, his active publication record and methodological focus suggest involvement in funded research. He is a key contributor to Louis Tay's Lab, focusing on character, well-being, and data science applications in psychology.

• Biochemistry
• Chemistry
• Environmental Chemistry
• +۱۲ مورد دیگر

Ana Teresa Vila Fernandes is a Professor in the Integrated Master’s in Pharmaceutical Sciences at the School of Sciences and Technologies of Health, Universidade Lusófona. She holds a PhD in Biochemistry (2021), a Master’s in Environmental Chemical Analysis (2009), and a Bachelor’s in Chemistry (2005), all from the University of Évora. She leads laboratory and technology transfer centers at Universidade Lusófona and is actively involved in multidisciplinary research. Her research focuses on the integration of Biochemistry, Chemistry, and Quality Management with Artificial Intelligence and Decision Support Systems . Key domains include water quality assessment, laboratory accreditation, organizational performance, psychosocial risk evaluation, and sustainable resource use. She applies AI techniques such as neural networks to optimize environmental and health systems. Her recent publications reveal a strong trend in applying artificial intelligence to environmental monitoring , particularly in predicting water quality and assessing consumer literacy. She also investigates employee satisfaction, especially during crises like the pandemic, and explores cybersecurity threats in healthcare institutions. Her work bridges technical precision with human-centered concerns in laboratory and organizational settings. She is an active scientific contributor with numerous publications in Scopus-indexed journals and conferences. Her research is affiliated with key institutions including REQUIMTE/LAQV (Green Chemistry), ALGORITMI Research Centre (University of Minho), and CBIOS (Universidade Lusófona). Scientific contributions and professional roles include: Researcher at REQUIMTE/LAQV - Associated Laboratory for Green Chemistry Member of the ALGORITMI Research Centre, University of Minho Collaborator at CBIOS - Research Center for Biosciences & Health Technologies Auditor in ISO 9001, ISO 14001, ISO 17025, and OHSAS 18001 standards Vogal (Member) of Technical Committee 199 - Health Information Systems, Portuguese Quality Institute She has authored or co-authored several books and book chapters on quality management, organizational efficiency, and AI applications in standards. Her work in higher education includes assessing student satisfaction and developing evaluative models for training organizations. She leads initiatives in laboratory direction and technology transfer, contributing to both academic and industrial applications of scientific research.

Taufiq Choudhryمشاهده پروفایل

استاد

• Financial Markets
• Financial Economics
• International Trade
• +۲ مورد دیگر

Professor Taufiq Choudhry is a leading academic in Finance at the University of Southampton , affiliated with the Southampton Business School and serving as Head of Department for Banking and Finance . His work bridges empirical finance, quantitative analysis, and policy economics. Education: BSc, MSc, PhD (USA) Current since: 2006 Research Focus : Financial Markets Financial Economics Economic Uncertainty International Trade Housing Market Dynamics Publication Trends : Recent work analyzes financial crises (2007 and COVID-19), credit risk modeling, consumer behavior impacts, and historical economic policy effects. Scientific Recognition : Stanford 2% Global Scientist Citation Rankings (2021) Teaching & Supervision : Currently teaches Introduction to Finance at MSc level. Has extensive experience teaching Corporate Finance, Financial Markets, and Financial Econometrics across UG, PG, and MBA programs. Supervising PhD students Dmitri Mustanen and Anoud Abdulaziz Alsaab.

• Welding Technology
• Structural Integrity
• Nuclear Engineering
• +۳ مورد دیگر

Michael Smith is a Professor of Welding Technology at the Department of Mechanical and Aerospace Engineering, Manchester University since May 2013. He leads the EDF Modelling and Simulation Centre (MaSC) and holds an EPSRC Manufacturing Fellowship (2013–2018). His career spans 30 years in aerospace and nuclear industries before academia. Education: PhD in Engineering (Cambridge University, Churchill College) – Fatigue Cracks in Metals BA in Engineering (Cambridge University, Churchill College) Research Focus: Multidisciplinary weld modelling integrating continuum mechanics and microstructural parameters (e.g., grain size, precipitates) to predict structural performance and enable virtual prototyping. Key areas include: Residual stress analysis in nuclear components Structural integrity assessment (R5/R6 procedures) High-temperature material behavior Grants & Projects: EPSRC Fellowship: 'Whole-life Approach to High-Integrity Welding for Nuclear Reactors' Solid Mechanics Group Research (active since 2025) Awards: EPSRC Manufacturing Fellowship (2013–2018) Labs/Teams: Director of EDF Modelling and Simulation Centre (MaSC), collaborating on nuclear safety cases and advanced manufacturing technologies.

• Breast cancer research
• Translational oncology
• Molecular analyses of tumor tissue
• +۷ مورد دیگر

Theodoros Foukakis serves as Associate Professor and Senior Physician at Karolinska Institutet's Department of Oncology-Pathology in Stockholm, Sweden. He leads the Translational Breast Cancer Research Group, a multidisciplinary team comprising clinicians, bioinformaticians, epidemiologists, biostatisticians, AI engineers, and molecular biologists. His research focuses on understanding treatment resistance mechanisms in breast cancer through molecular analyses of tumor tissue and blood samples, with the goal of developing new predictive biomarkers for treatment response. Foukakis' research interests center on translational breast cancer research, particularly in the areas of neoadjuvant therapy, treatment resistance mechanisms, and biomarker development. His work spans both HER2-positive and triple-negative breast cancer subtypes, with significant contributions to clinical trials investigating novel treatment approaches including immunotherapy combinations and antibody-drug conjugates. He has pioneered research in applying machine learning and AI techniques to analyze tumor microenvironment characteristics and optimize treatment selection based on molecular profiles. His work bridges clinical practice with cutting-edge genomic and computational approaches to personalize breast cancer treatment. Analysis of his recent publications (2024-2025) reveals a strong focus on precision oncology approaches, with particular emphasis on biomarker development, treatment response prediction, and optimizing therapeutic strategies through AI applications. His work spans clinical trials (PANTHER, KEYNOTE, ARIADNE), biomarker discovery (SAMHD1, immune microenvironment characterization), and implementation of machine learning models for treatment optimization. A significant portion of his research addresses the critical challenge of balancing treatment efficacy with minimizing toxicity through tailored approaches. Foukakis actively mentors doctoral students and postdoctoral researchers in his translational breast cancer research group. His grant portfolio includes leadership of the ARIADNE trial, a randomized phase IIB study investigating trastuzumab deruxtecan and biology-driven selection of neoadjuvant treatment for HER2-positive breast cancer. His research has been supported by multiple national and international funding sources focused on advancing precision medicine in breast cancer care. The Translational Breast Cancer Research Group led by Foukakis operates as a comprehensive research ecosystem that integrates clinical data with molecular and computational analyses. The group collaborates extensively with other research teams at Karolinska Institutet and participates in numerous international clinical trials. Their work on the ARIADNE study represents a novel approach to treatment selection based on intrinsic molecular subtypes as determined by Prosigna® analysis, potentially enabling both treatment de-escalation for some patients and escalation for others based on molecular characteristics.

Katayoon Pourmahdiمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Predictive Analytics
• Sustainable Consumer Behavior
• +۳ مورد دیگر

Katayoon Pourmahdi is a Doctoral Researcher at Åbo Akademi University's Faculty of Social Sciences, Business and Law, School of Business. Her research focuses on data-driven approaches to sustainable consumption and pricing strategies. Research Interests : Machine Learning, Predictive Analytics, Sustainable Consumer Behavior, Pricing Strategy Key Themes : Uses computational models to analyze price sensitivity in eco-conscious markets, applies deep learning to meat product price forecasting, and explores agent-based modeling for sustainable pricing optimization. Her recent publications highlight applications of Machine Learning in sustainability contexts, particularly in pricing strategy and consumer behavior. She has presented at international conferences on topics like sustainable consumption drivers and AI-integrated pricing models.