جست‌وجوی استاد و پژوهشگر

Bai Gaoمشاهده پروفایل

استاد

• Political Economy
• International Political Economy
• Industrial Policy
• +۳ مورد دیگر

Bai Gao is a Professor of Sociology at Duke University. His research focuses on political economy, globalization trends, and industrial policy, particularly in the context of China and East Asia. He holds a Ph.D. from Princeton University (1994). Research Interests : Impact of state industrial policy on emerging technologies (e.g., electric vehicles in China) Globalization dynamics and post-neoliberal policy paradigms Comparative analysis of developmental models (China, Japan, Germany) Geopolitical implications of China's Belt and Road Initiative Key Contributions : Author of Japan’s Economic Dilemma (2001) and High-Speed Rail: An Analysis of the Chinese Innovation System (2021) Edited volumes on China-Pakistan Economic Corridor and global political economy Grants & Funding : "FDI and the Chinese Model of Economic Development" (2005-2007) "Institutional Analysis of Global Production Networks" (2003-2004) Courses Taught : SOCIOL 541: The United States and the Asian Pacific Region SOCIOL 344: Technology and Organizational Environments

Gonzalo Guillén Gosálbezمشاهده پروفایل

استاد

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

Thomas R Overtonمشاهده پروفایل

استاد

• Dairy Cattle Nutrition
• Transition Cow Management
• Metabolic Health of Dairy Cows
• +۳ مورد دیگر

Thomas R Overton serves as Department Chair and Professor of Dairy Nutrition and Management in the Department of Animal Science at Cornell University's College of Agriculture and Life Sciences (CALS). He also directs PRO-DAIRY, an extension program focused on enhancing dairy farm profitability and efficiency in New York through research-based strategies for transition cow management. Education: Doctorate, University of Illinois, 1998 Master of Science, University of Illinois, 1994 Bachelor of Science, Cornell University, 1991 Dr. Overton's research centers on the transition period (late pregnancy to early lactation) in dairy cows—the most critical phase for health and productivity. His work integrates nutritional physiology with practical farm applications, targeting hypocalcemia management, protein supplementation strategies, inflammation control, and biomarker validation for metabolic health. This research directly informs his extension efforts through PRO-DAIRY, which delivers actionable knowledge to dairy producers and industry professionals. Analysis of his 15 most recent publications (2022-2024) reveals consistent emphasis on transition cow nutrition, with growing focus on metabolic analytics, precision feeding, and real-world herd management. His work bridges controlled studies at Cornell's Ruminant Center with observational research on commercial New York dairy farms. Scientific Awards: 2024 Nutrition Professionals Applied Dairy Research Award (American Dairy Science Association) 2010 CALS Extension/Outreach Team Award (PRO-DAIRY) 2007 Foundation Scholar Award (American Dairy Science Association) 2007 CALS Extension/Outreach Team Award Dr. Overton advises undergraduate and graduate students in Animal Science while leading PRO-DAIRY's extension initiatives. His program secures industry partnerships and grants focused on improving dairy farm sustainability through nutritional science. The July 2025 'Farm of the Future' showcase at Cornell's Ruminant Center exemplifies his commitment to translating research into practical innovation. He operates within Cornell's PRO-DAIRY program and the Cornell University Ruminant Center—a living laboratory for dairy technology testing—collaborating closely with industry stakeholders to address emerging challenges in dairy production.

Erik Gordonمشاهده پروفایل

استادیار بالینی

• Entrepreneurship
• Technology Commercialization
• Venture Capital
• +۱۳ مورد دیگر

Erik Gordon is a Clinical Assistant Professor of Entrepreneurial Studies and Area Chair at the Ross School of Business, University of Michigan. He holds degrees in economics and law, with prior roles including Associate Dean and Director of the Graduate Division of Business & Management at Johns Hopkins University, and leadership positions at the University of Florida’s Center for Technology & Science Commercialization Studies. His research focuses on entrepreneurship, venture capital, private equity, corporate governance, and FinTech. He frequently contributes to media outlets like The New York Times, Bloomberg, and Marketplace, offering insights on business trends and corporate strategy. His teaching spans advanced topics in business strategy, with a focus on real-world application and interdisciplinary approaches. Notable engagements include commentary on the pandemic’s impact on education and virtual teaching methodologies. He advises initiatives like the Wolverine Venture Fund and Zell Early-Stage Fund, emphasizing practical experience for students.

Brent Mittelstadtمشاهده پروفایل

استاد

• Data Ethics
• AI Ethics
• Technology Governance
• +۴ مورد دیگر

Professor Brent Mittelstadt is a leading academic in data ethics and AI governance at the University of Oxford's Oxford Internet Institute (OII), serving as Professor of Data Ethics and Policy and Director of Research. He coordinates the Governance of Emerging Technologies (GET) programme, focusing on ethics, law, and technology interplay. His work bridges academic research with policy impact, contributing frameworks like 'counterfactual explanations' and fairness metrics ('Conditional Demographic Disparity') used globally. He leads high-profile projects such as Trustworthiness Auditing for AI and A Right to Reasonable Inferences in Advertising and Financial Services. Research interests span AI ethics, medical ethics, technology governance, and non-discrimination law. He has pioneered ethical frameworks addressing algorithmic bias, GDPR compliance, and AI accountability. His work has influenced policy bodies like the UK Information Commissioner’s Office and the European Commission, and is implemented by tech giants such as Google and Microsoft. Awarded O2RB Excellence in Impact Awards (2018, 2021) and PLSC Best Paper (2019) Funded by Wellcome Trust, Sloan Foundation, and others Advisory roles for NHSx, GSK Consumer Healthcare, and regulatory bodies Recent work focuses on AI regulation (EU AI Act), generative AI ethics, and healthcare AI governance. He co-leads the OxonFair toolkit for algorithmic fairness and investigates societal impacts of deepfake proliferation and large language models.

• Corruption and Governance
• Economic Development
• Political Settlements
• +۵ مورد دیگر

Mushtaq Khan is a Professor in the Department of Economics at SOAS University of London . His research focuses on governance, corruption, industrial policy, and structural transformation in developing countries, with particular emphasis on Bangladesh, Nepal, and Nigeria. Research Interests : Corruption and Anti-Corruption Strategies Political Settlements and Governance Industrial Policy Design Climate Adaptation and Public Health Systems Policy Contributions : His work addresses challenges such as collusive contracting in energy sectors, doctor absenteeism in rural healthcare, and dual-use climate projects as anti-corruption tools. Advising : He has supervised theses on industrial policy in Nigeria, economic transformation in Rwanda, and federalism in Nepal.

• Mental Health Nursing
• Mental Health Stigma
• Workforce Sustainability
• +۴ مورد دیگر

Dr. Louise Alexander is an Associate Professor in Mental Health Nursing at Deakin University's School of Nursing & Midwifery (Faculty of Health). She holds prior academic roles including Senior Lecturer (ACU, 2018–2023) and Lecturer positions (ACU and Holmesglen Institute). Her research focuses on mental health nursing workforce sustainability, stigma reduction, simulation-based education, and curriculum development. Key interests include nurse resilience, pandemic impacts on healthcare workers, and improving student attitudes towards mental illness. Education: PhD from Deakin University; GCHE qualification Certifications: University of Melbourne's Emerging Leaders & Management Program (2021–2022) Teaching: Leads courses in forensic mental health, therapeutic communication, and health promotion Research Highlights: Recent work examines pandemic trauma among nurses, alcohol consumption trends post-COVID, and leadership's role in workforce retention. Her studies emphasize qualitative methods and integrative reviews to address systemic challenges in mental health nursing education and practice. Awards/Grants: No explicit awards listed; research supported by institutional collaborations. Active in developing transition-to-practice programs and evaluating simulation-based training efficacy. Labs/Teams: Collaborates with interdisciplinary teams on mental health workforce resilience and stigma reduction initiatives. Engages in national and international nursing education networks.

Allan Larsenمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Logistics
• +۴ مورد دیگر

Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.

• Corporate Social Responsibility
• Business Ethics
• Digital Ethics
• +۶ مورد دیگر

Peter Seele is a Full Professor at the Faculty of Communication, Culture and Society at Università della Svizzera italiana (USI). He is affiliated with the Center for Climate Finance and Sustainability (CCFS), Ethics and Communication Law Center (ECLC), and the Luxury Observatory Lugano (LOLugano). His research focuses on Corporate Social Responsibility (CSR), Business Ethics, Digital Ethics, Greenwashing, and Machinewashing. Dr. Seele holds dual PhDs in Economics (University of Witten/Herdecke, Germany) and Philosophy (University of Düsseldorf, Germany). He previously served as an Assistant Professor at the University of Basel and conducted post-doctoral research at the Institute for Advanced Studies in the Humanities (KWI) in Essen. His educational background includes studies at the University of Oldenburg and Delhi School of Economics, followed by two years as a business consultant in Frankfurt. His research explores ethical challenges in digitalization, sustainability, and technology. Notable themes include AI ethics governance, ethicswashing in corporate communication, and the interplay between blockchain and business ethics. Recent work addresses greenwashing trends, the ethical implications of algorithmic systems, and sustainable practices in luxury industries. Publications highlight critical analyses of digital ethics frameworks, sustainability backlashes, and the societal impact of emerging technologies. His interdisciplinary approach bridges philosophy, business studies, and environmental science, with a focus on practical solutions for ethical dilemmas in modern organizations. Peter Seele collaborates across academic and industrial sectors, emphasizing real-world applications of ethical theories. He advises on CSR strategies, digital transparency, and regulatory frameworks for sustainable business practices.

Christopher Knittelمشاهده پروفایل

استاد

• Energy Economics
• Energy Policy
• Environmental Policy
• +۵ مورد دیگر

Christopher R. Knittel is the George P. Shultz Professor of Energy Economics and Professor of Applied Economics at the Massachusetts Institute of Technology (MIT) Sloan School of Management . He serves as Director of MIT’s Center for Energy and Environmental Policy Research (CEEPR), Director of the MIT Climate Policy Center, and Deputy Director for Policy at the MIT Energy Initiative (MITEI). PhD, University of California, Berkeley (1999) M.A., University of California, Davis (1996) B.A., California State University, Stanislaus (1994) His research focuses on energy economics, environmental policy, and machine learning applications in energy systems. He leads interdisciplinary initiatives like the Climate Action Through Education program for high schools and co-directs the E2e Project with UC Berkeley and University of Chicago. Recent publications analyze data center energy dynamics, hydrogen technologies, Russian oil sanctions, and transportation policy reforms. His work emphasizes policy cost-effectiveness, emissions equity, and energy market responses to regulation.

Herb Linمشاهده پروفایل

استاد پژوهشی

• Cybersecurity Policy
• Information Warfare
• Nuclear Security
• +۴ مورد دیگر

Dr. Herb Lin is the Hank J. Holland Fellow in Cyber Policy and Security at the Hoover Institution and Senior Research Scholar for Cyber Policy and Security at the Center for International Security and Cooperation (CISAC), both at Stanford University. He also serves as Chief Scientist, Emeritus for the Computer Science and Telecommunications Board of the National Academies, where he worked from 1990 to 2014, and as Adjunct Senior Research Scholar and Senior Fellow in Cybersecurity at Columbia University's Saltzman Institute for War and Peace Studies. Dr. Lin received his doctorate in physics from MIT, providing him with a strong technical foundation that informs his policy work at the intersection of technology and national security. His academic background bridges the gap between deep technical understanding and policy application in the cybersecurity domain. Dr. Lin's research focuses on the policy dimensions of cybersecurity and cyberspace, with particular emphasis on offensive cyber operations as instruments of national policy, information warfare, and influence operations affecting national security. His work addresses critical challenges at the intersection of emerging technologies like artificial intelligence, quantum computing, and their implications for nuclear security, election integrity, and democratic processes. He has been instrumental in analyzing how cyber capabilities are transforming traditional security paradigms and how policy frameworks must adapt to these changes. His extensive publication record reveals a consistent focus on the evolving relationship between cyber capabilities and national security strategy. Lin's work demonstrates increasing attention to the implications of artificial intelligence for warfare, the vulnerabilities created by quantum computing for current cryptographic systems, and the growing threat of cyber-enabled information warfare to democratic institutions. His research trajectory shows a progression from traditional cybersecurity issues toward the broader implications of digital technologies for national and international security. Member of Science and Security Board of Bulletin of the Atomic Scientists Served on President Obama's Commission on Enhancing National Cybersecurity (2016) Regular congressional testimony on cybersecurity matters Contributor to Stanford Emerging Technology Review As a mentor and collaborator, Dr. Lin works extensively with policymakers, military officials, and technology experts to translate complex cybersecurity concepts into actionable policy recommendations. His approach emphasizes practical solutions to emerging threats while recognizing the technical limitations and policy constraints that shape real-world security outcomes. Dr. Lin is associated with multiple research initiatives including Stanford's Center for International Security and Cooperation and the Stanford Emerging Technology Review, which aim to connect technological advances with policy considerations for national security decision-makers.

Arvind Karunakaranمشاهده پروفایل

استادیار

• Sociology of Work and Occupations/Professions
• Organization Theory
• Technological/Organizational Change
• +۴ مورد دیگر

Arvind Karunakaran is an Assistant Professor at Stanford University in the Department of Management Science and Engineering. He holds affiliations with the Center for Work, Technology, and Organization (WTO) , Stanford Technology Ventures Program (STVP) , Stanford Institute for Human-centered Artificial Intelligence (HAI) , and the Digital Economy Lab (DEL) . His research focuses on authority and accountability in the workplace , particularly under technological change and human-AI augmentation. Education: Ph.D. from MIT Sloan School of Management (2018) His work employs ethnographic and field-based methods to study empirical puzzles in workplace dynamics, complemented by comparative-historical analysis and quantitative/textual data analysis . Key research areas include social/algorithmic evaluation of workers , human-AI reskilling , and conflicts in symmetrical relations . Recent publications analyze AI's impact on workplace inequality , platform governance , and crowd-based accountability . His findings are published in top journals like Administrative Science Quarterly and Organization Science . Scientific Awards & Recognitions: Best Published Paper Award (ASA, 2025) Gerard J. Tellis Best Junior Faculty Paper Award (AIM Conference, 2025) W. Richard Scott Article Award (ASA, 2024) Responsible Research in Management Award (RRBM, 2024) Future of Organizations Fellowship (2024) Professor Karunakaran advises doctoral and master's students in areas related to technology and organizations , and teaches courses on organizational behavior , organizational theory , and innovation management .

• Civil Engineering
• Structural Engineering
• Computational Engineering
• +۳ مورد دیگر

Professor Haijiang Li is a Chair in BIM for Smart Engineering at Cardiff University's School of Engineering. His roles include leading the Computational Mechanics and Engineering AI Research Group, directing the BIM for Smart Engineering Centre, and overseeing the BIM MSc programme. He holds editorial roles for journals like Construction Innovation and Automation in Construction , and chairs the European Group of Intelligent Computing in Engineering (EG-ICE). Research focuses on smart computational engineering platforms integrating BIM, AI, and big data for sustainable infrastructure. Key areas include digital twins, disaster management, and resilient urban systems. He has secured £40M in research funding, including £9M as PI, and led over 70 research staff and students. Prof. Li is a Standards Committee Technical Executive at buildingSMART, driving international BIM standards. His work includes co-authoring a book on BIM standards across China, the US, and the UK. Awards include Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). His research outputs span over 250 publications, covering topics like AI-driven bridge maintenance, ontology-based decision-making, and energy-efficient urban systems. Collaborations with industry and global partners emphasize practical applications of BIM and smart technologies.

Pamela Hindsمشاهده پروفایل

استاد

• Organizational Behavior
• Human-Computer Interaction
• Cross-Cultural Collaboration
• +۳ مورد دیگر

Pamela J. Hinds is the Rodney H. Adams Professor and Fortinet Founders Chair in Stanford University's School of Engineering, holding a joint appointment in the Department of Management Science and Engineering. She co-directs the Center on Work, Technology, and Organization and serves on the Director's Council for the Hasso Plattner Institute of Design. Her research focuses on technology's impact on teams, collaboration, and innovation in global and cross-cultural contexts. She earned her Ph.D. in Organizational Science and Management from Carnegie Mellon University (1997). Research Interests: Dr. Hinds explores cross-boundary work teams, particularly those spanning national borders, examining cultural dynamics, language barriers, and site visits' role in knowledge sharing. She investigates human-robot interaction in workplaces and emerging technologies' effects on work practices, including AI, 3D printing, and open innovation systems. Her work bridges organizational behavior, human-computer interaction, and global work dynamics. Awards & Recognition: Lasting Impact Award (2018) Senior Editor of Organization Science Co-editor of Distributed Work (MIT Press) Advising & Leadership: As department chair, Hinds shapes educational and research agendas. Her grants include NSF-funded studies on digital technologies in agriculture and crowd-based innovation. She advises initiatives at the intersection of technology, work design, and global collaboration. Labs & Teams: Co-leads the Center on Work, Technology, and Organization, fostering interdisciplinary research on modern work environments. Engages in Stanford's Design School (d.school) to integrate human-centered design principles into workplace innovation.

Ly Fie Sugiantoمشاهده پروفایل

دانشیار

• Accounting Information Systems
• Data Analytics
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Ly Fie Sugianto is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. Her research focuses on the integration of data analytics, artificial intelligence, and machine learning in accounting and business systems, with applications in the energy sector and organizational behavior. Monash Business School, Monash University Department of Accounting Specialization: Accounting Information Systems, Data Analytics, AI Her research interests span Accounting Information Systems , Agent-Based Simulation , Decision Support Systems , and Technology Adoption . She applies computational methods to study competitive dynamics in deregulated electricity markets and the impact of digital tools on employee well-being and organizational resilience. The recent publications reflect a strong trend in using AI and simulation to analyze complex socio-technical systems, particularly in energy markets and leadership dynamics. Keywords across her work include agent-based modeling , data analytics , servant leadership , and enterprise social media , indicating interdisciplinary research at the intersection of information systems, management, and public policy. Her scientific awards include competitive grants from the ARC (SPIRT/Linkage) , the Australia Indonesia Governance Research Partnership (AIGRP) , and the Sumitomo Foundation . ARC Grant: Dispatch Optimisation in the Australian National Electricity Market Sumitomo Foundation: Technology Use and Employee Well-Being AIGRP: Governance and MSME Resilience during Pandemic Dr. Sugianto has advised research projects and collaborated with industry partners such as Western Power , Ecogen Energy , and AEMO . She is currently accepting PhD students and leads externally funded research initiatives. Her work contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. She is affiliated with research teams focusing on intelligent decision support systems and digital transformation in business , with active collaborations in Australia and Indonesia.