جست‌وجوی استاد و پژوهشگر

Caitlin C. Rosenthalمشاهده پروفایل

دانشیار

• Economic History
• Business History
• Labor History
• +۵ مورد دیگر

Caitlin C. Rosenthal is an Associate Professor in the Department of History at the University of California, Berkeley's College of Letters and Science. A historian specializing in 18th and 19th century U.S. history, she is renowned for her interdisciplinary approach that blends qualitative and quantitative methods across business history, economic history, and labor history. Her research focuses on the development of management practices, particularly those based on data analysis, with special attention to the historical relationship between violence and innovation. Her groundbreaking work examines how accounting and management techniques evolved, including their disturbing applications on slave plantations. Rosenthal's scholarship bridges historical analysis with contemporary concerns about data practices and ethical business conduct. Her influential book Accounting for Slavery: Masters and Management (Harvard University Press, 2018) won the Simkins Award from the Southern Historical Association and the first book prize from the Economic History Society. It was featured as one of 'Five Books' best economics books of 2018 and was incorporated into the New York Times' 1619 Project. The book explores how plantation management contributed to modern business practices while examining the troubling intersection of violence and innovation. Simkins Award of the Southern Historical Association First book prize of the Economic History Society Carol D. Soc Graduate mentoring award (2019) Hellman Faculty Fellowship (2018-2020) American Cultures Innovation in Teaching Prize (2016) Rosenthal teaches undergraduate courses on the history of capitalism and data practices, including 'The History of American Capitalism' (which won the American Cultures Innovation in Teaching Prize in 2016) and 'Calculating Americans,' which examines the evolution of data practices from the U.S. Census to medical records. She actively mentors graduate students on topics related to data and economy, having received the Carol D. Soc graduate mentoring award in 2019. Her educational background includes a PhD in History of American Civilization from Harvard University, an AM in History from Harvard, and a BA in Political Science summa cum laude from Rice University.

David Parkerمشاهده پروفایل

استاد

• Formal Verification
• Probabilistic Model Checking
• Quantitative Analysis
• +۲ مورد دیگر

David Parker is Professor of Computer Science at the University of Oxford and a Tutorial Fellow at Trinity College. His research focuses on formal verification methods for checking system correctness, particularly quantitative verification techniques for probabilistic systems. As leader of the PRISM and PRISM-games projects, he develops tools for analyzing safety, reliability, and performance properties in complex systems. Current research explores verification of AI systems, robust decision-making under uncertainty, and multi-agent systems using stochastic games. His work bridges theoretical foundations with applications in autonomous systems, robotics, and healthcare technology. Recent publications demonstrate advancements in probabilistic temporal logic, robust policy learning, and bisimulation techniques for Markov models. These works consistently emphasize formal guarantees for safety-critical applications and novel approaches to model checking. ETAPS Test-of-Time Tool Award (2024) HVC Award (2016) Professor Parker mentors PhD students in verification, control synthesis, and AI safety, with research funded by ERC, EPSRC, and industrial partners. He serves on editorial boards for Formal Aspects of Computing and ACM Transactions on Autonomous Systems.

Emilia Vann Yarosonمشاهده پروفایل

مدرس

• Supply Chain Management
• Sustainability
• Artificial Intelligence in Supply Chains
• +۶ مورد دیگر

Emilia Vann Yaroson is a Lecturer in Operations and Supply Chain Management at the Sheffield University Management School (The University of Sheffield). She holds a PhD in Operations and Information Management from the University of Bradford, an MSc in Business and Financial Economics from the University of Greenwich, and a PgCHE (Postgraduate Certificate in Higher Education). Her research focuses on leveraging emerging technologies (AI, blockchain, cloud computing, digital twins) to enhance supply chain resilience and sustainability, particularly aligned with UN SDGs related to healthcare access, environmental protection, and poverty reduction. Research Interests Pharmaceutical supply chains and resilience strategies Circular economy integration in supply chains Impact of Industry 4.0/5.0 technologies on sustainable operations Healthcare operations and quality improvement Artificial intelligence-driven decision-making in supply chains Teaching She teaches operations management, supply chain analytics, and related modules across undergraduate and postgraduate programs, including executive education. Her teaching aligns with the school’s Triple Crown accreditation, positioning it among global elite management schools. Research Group She is part of the Operations Management and Decision Sciences group, contributing to interdisciplinary projects on supply chain innovation and sustainability. Her work bridges theoretical frameworks (e.g., Complex Adaptive Systems) with practical applications in healthcare and manufacturing sectors.

Donya Hajializadehمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Machine Learning
• Asset Management Systems
• +۴ مورد دیگر

Dr Donya Hajializadeh is an Associate Professor of Structural Engineering at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. She holds multiple professional qualifications including Chartered Engineer (CEng) and European Engineer (EUR ING), and is a Fellow of the Higher Education Academy (FHEA). Her roles include Director of Employability (since 2020), Deputy Coordinator of the Surrey/ICE Scholarship (since 2019), and IStructE Liaison Officer (since 2021). She is also affiliated with the Surrey Institute for People-Centred Artificial Intelligence (PAI). Her education includes a BEng (Hons), MEng, and PhD in relevant fields. Research focuses on structural health monitoring (SHM), machine learning applications in asset management, and deep learning for damage identification. Key areas include railway bridge dynamics, vibration analysis, and resilience assessment under seismic and environmental hazards. Current PhD students include Chia Sadik (Transport Infrastructure Failure Assessment) and Michael Millgate (Dynamic Characterisation of Tall RC Buildings). Teaching responsibilities include ENG1073 Fluid Mechanics and ENGM054 Earthquake Engineering. Research aligns with sustainable development goals, emphasizing infrastructure sustainability and carbon reduction strategies. Notable projects include rail bridge innovation recognized by the Chief Scientific Adviser Award and presentations on damage identification techniques to government officials. She contributes actively to interdisciplinary initiatives, integrating AI with civil engineering for smarter infrastructure solutions.

Negin Alemazkoorمشاهده پروفایل

استادیار

• Infrastructure Systems
• Artificial Intelligence
• Renewable Energy
• +۷ مورد دیگر

Negin Alemazkoor is an Assistant Professor at the University of Virginia's School of Engineering and Applied Science, specializing in interdisciplinary research on infrastructure resilience. Her work focuses on developing AI-driven methodologies for analyzing interconnected systems like power grids, urban flood models, and transportation networks under uncertainty. Key areas include enhancing grid reliability through multi-fidelity modeling, hurricane evacuation equity analysis, and precision-compression techniques for large-scale data. She co-leads a NSF-funded initiative to democratize AI education in high schools. Her research integrates graph neural networks, physics-informed models, and machine learning to address challenges in energy systems, environmental monitoring, and disaster response. Notable projects include hurricane-induced power outage risk analysis under climate change and precision guarantees for smart-meter data analytics. She emphasizes computational efficiency and multi-fidelity approaches to balance accuracy with resource constraints. Recent contributions span AI applications in flood forecasting, renewable energy integration, and infrastructure cybersecurity. Her NSF grant aims to create inclusive AI curricula, reflecting her commitment to education and societal impact. She is affiliated with UVA Engineering’s research initiatives on resilient systems and data-driven decision-making.

Sijia Gengمشاهده پروفایل

استادیار

• Power Systems
• Control Theory
• Nonlinear Dynamical Systems
• +۴ مورد دیگر

Sijia Geng is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University (JHU) and a core researcher at the Ralph O’Connor Sustainable Energy Institute (ROSEI). She directs the Power and Energy Network Systems Analysis (PENSA) Laboratory and co-leads the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center as co-PI. Her research focuses on integrating control theory, mathematical analysis, and optimization to enhance renewable energy utilization and grid resiliency. Education: Ph.D. and M.S. (ECE & Mathematics) from the University of Michigan-Ann Arbor (2016–2022), B.S. in Automation from Harbin Institute of Technology (2016). Postdoctoral work at MIT (2022) and visiting scholar roles at Purdue University (2015) and Pacific Northwest National Lab (2018). Research Interests: Dynamic analysis of inverter-based power systems, nonlinear control theory, data-driven decision-making, and multi-energy systems. Her work emphasizes achieving autonomous, resilient energy systems through advanced computational tools and theoretical frameworks. Awards: Best Paper Award at MIT/Harvard Applied Energy Symposium (2022), MIT Rising Stars in EECS (2021), Barbour Scholarship (2021), Towner Prize (2018), and Gerald and Esther Forrest Fellowship (2016). She is active in IEEE and INFORMS, organizing sessions at PES General Meeting and CISS conferences. Grants & Collaborations: Funded by NSF, DOE, MIT Energy Initiative, and industry. Leads global initiatives through EPICS, collaborating with UK, Australian, and international stakeholders. Co-leads ROSEI’s Grid pillar to advance fossil-free energy systems. Labs & Teams: Directs PENSA Lab, affiliated with JHU’s Data Science and AI Institute, Applied Mathematics & Statistics, and Computer Science departments.

Grace Kimمشاهده پروفایل

دانشیار

• Neurorehabilitation
• Wearable Technology
• Stroke Recovery
• +۳ مورد دیگر

Dr. Grace Kim is an Associate Professor in the Department of Occupational Therapy at New York University's Steinhardt School of Culture, Education, and Human Development. She holds a PhD in Occupational Therapy from NYU (2016), an MA in Occupational Therapy from Columbia University, and a BA in Psychology from UC Davis. She is a clinician-researcher affiliated with the Rehabilitation Medicine department at New York Presbyterian/Weill Cornell Medical Center, specializing in upper extremity robotics, outcome measurement, and stroke rehabilitation. Education: Bachelor's in Psychology: University of California, Davis Master's in Occupational Therapy: Columbia University PhD in Occupational Therapy: New York University (2016) Research Focus: Intersection of technology and neurorehabilitation Client-centered care for stroke survivors Wearable/mobile technology applications Shared decision-making approaches Awards/Grants: Mitchell Leaska Dissertation Grant (2014) Steinhardt Faculty Challenge Grant (2017) NYU Provost Mega-Seed Grant (2018) American Occupational Therapy Foundation Grant (2021) Dr. Kim teaches courses in Evidence-Based Practice, Neurorehabilitation, and Ethics at NYU Steinhardt. She mentors students in Occupational Therapy, Rehabilitation Science, and the R25 Research Education in Cardiovascular Conditions program at NYU's Rory Meyers School of Nursing. Her work emphasizes affordable technology solutions to improve real-world outcomes for stroke patients, including remote self-training programs and home-based interventions.

Alexander Hollbergمشاهده پروفایل

دانشیار

• Sustainable Design
• Optimization Processes
• Stakeholder Interaction
• +۴ مورد دیگر

Alexander Hollberg is an Associate Professor in the Division of Building Technology at Chalmers University of Technology, within the School of Architecture and Civil Engineering. His academic role focuses on Computational Sustainable Design, emphasizing the development of digital tools for sustainable building and urban design. He holds a PhD in Parametric Life Cycle Assessment (2016) from Bauhaus University Weimar, an MSc in Architectural Engineering (2011), and a BSc in Civil Engineering (2008) from Technical University of Munich (TUM). His research interests include Sustainable Design Optimization, Stakeholder Interaction, Artificial Intelligence, and Life Cycle Assessment (LCA). He co-founded CAALA, a software and consulting startup in Munich, Germany, advancing tools for real-time environmental performance evaluation in early design stages. Recent work includes studies on digital twins for urban planning, robust renovation strategies, and AI-driven facade optimization. Hollberg was promoted to Docent (Associate Professor) in Computational Sustainable Design in 2022, focusing on bridging computational methods with sustainable environmental transitions. His collaborative projects address tool development for stakeholder engagement, BIM integration, and circular economy frameworks in construction. Key Projects: Development of Bombyx and Twinable tools for real-time LCA and urban simulation Leading the Nordic Build-LCA PhD forum and BIM-based LCSA applications Contributions to IEA EBC Annex 72 guidelines on life cycle environmental impacts Education Background: PhD in Parametric Life Cycle Assessment, Bauhaus University Weimar, 2016 MSc in Architectural Engineering, Bauhaus University Weimar, 2011 BSc in Civil Engineering, Technical University of Munich, 2008 His research outputs prioritize early design-stage decision support through parametric modeling and AI, with a focus on carbon neutrality and material circularity in construction.

Karen E Smithمشاهده پروفایل

استاد

• International Relations of the European Union
• EU-UN Relations
• Human Rights Policy
• +۴ مورد دیگر

Professor Karen E. Smith is a leading scholar in European Union foreign policy studies at the London School of Economics and Political Science (LSE). She serves as a Professor in the Department of International Relations and directs the European Foreign Policy Unit. Her research focuses on EU foreign policy formulation, ethical foreign policy goals (human rights advocacy), genocide policy-making, and EU-UN relations. Notable contributions include work on feminist foreign policy frameworks, emotions in EU diplomacy, and mass atrocity prevention. She has held leadership roles including Head of the International Relations Department (2019–2022). Awards include the 2020 ACUNS Award for best UN-related book and Royal Society of Arts Fellowship (2016). Education: PhD in International Relations (LSE, 1996), MA from Johns Hopkins SAIS (1998), BA from Wellesley College (1987). Academic leadership includes co-editing the Palgrave Macmillan Global Foreign Policy Studies series and directing the LSE IDEAS Women in Diplomacy project. Recent projects analyze gender representation in diplomacy and EU responses to humanitarian crises. Teaching includes courses on EU global engagement and supervision of doctoral students in EU foreign policy areas. Key publications address EU-UN coalition politics, feminist policy impacts, and genocide designation strategies. Grants include EU-funded research networks on EU-UN relations (2012–2019) and contributions to the UN Prevention of Mass Atrocities Task Force (2012–2013). Her work bridges theoretical insights with policy-relevant analysis for global governance challenges.

Axel Moehrenschlagerمشاهده پروفایل

استاد مدعو

• Conservation Biology
• Species Reintroduction and Translocation
• Community Conservation
• +۳ مورد دیگر

Axel Moehrenschlager is an Adjunct Professor in the Department of Biological Sciences at the University of Calgary's Faculty of Science. He concurrently serves as Director of Conservation & Science at the Calgary Zoological Society and holds adjunct roles at Clemson University (Adjunct Associate Professor) and New Zealand's University of Canterbury (Erskine Fellow). His expertise spans conservation translocations, species reintroduction, and community-based conservation, with a focus on leveraging science for global biodiversity preservation. Moehrenschlager earned a B.Sc. from the University of Alberta (1993) and a D.Phil. in Zoology from Oxford University (2001). He chairs the IUCN's Conservation Translocation Specialist Group, driving policy integration of the IUCN Reintroduction Guidelines. He advises the UN Equator Prize and the St. Andrews Prize for the Environment, emphasizing sustainable conservation practices. His research integrates ecological, social, and policy dimensions, addressing challenges like sylvatic plague in prairie dogs, amphibian reintroductions, and swift fox genetics. Publications highlight innovative methodologies in conservation translocations, climate change impacts, and community-led conservation. His work bridges academic research with practical applications, aiming to harmonize biodiversity conservation with human well-being. Moehrenschlager has received the Erskine Fellowship (University of Canterbury) and contributed to over 30 peer-reviewed articles and book chapters. His leadership at the Calgary Zoo's Centre for Conservation Research fosters international collaborations, focusing on Africa and Madagascar. Current projects explore translocation success metrics and the ethical dimensions of conservation actions.

Janie McClurkin Mooreمشاهده پروفایل

استادیار

• Post-harvest treatment technologies
• Bioprocess engineering
• Biomass valorization
• +۸ مورد دیگر

Dr. Janie McClurkin Moore is an Assistant Professor in the Department of Biological and Agricultural Engineering at Texas A&M University, part of the College of Agriculture & Life Sciences. Her research focuses on post-harvest technologies, food safety, and innovative engineering education strategies. She holds a PhD in Agricultural and Biological Engineering from Purdue University and has extensive expertise in applying cold plasma technology to agricultural challenges. Education: B.S., Bio-Environmental Engineering, North Carolina A&T State University (2006) M.S.A.B.E., Agricultural and Biological Engineering, Purdue University (2009) Ph.D., Agricultural and Biological Engineering, Purdue University (2015) Research interests span post-harvest treatment innovations, biomass valorization, and educational methodologies. Her work emphasizes non-thermal plasma applications for food safety, mycotoxin mitigation, and sustainable agriculture practices. Publications reveal a strong focus on plasma technology for pest control, food preservation, and hydroponic systems. Her engineering education research explores inclusive pedagogy and curriculum development in diverse educational settings. Advising and grants include contributions to the NSF Convergence Accelerator project addressing food security in extreme environments. She is affiliated with Texas A&M AgriLife Research, advancing applied agricultural solutions through interdisciplinary collaboration.

Graham Doveمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Urban Science
• Community Science
• +۵ مورد دیگر

Graham Dove is an Assistant Professor at New York University (NYU) , affiliated with the Center for Urban Science and Progress (CUSP) . His work focuses on human-centered design approaches to AI , data-enabled products , and community science initiatives . He co-directs the Human-Centered Technology, Innovation, and Design PhD program and teaches courses like Digital Civics for Social Innovation and Design for Innovation with AI and ML . His research spans healthcare technology (e.g., MS care design with clinicians), urban environmental advocacy (e.g., NYC Chinatown air quality projects), and open data applications in civic innovation. He emphasizes participatory design and has collaborated with organizations like NYC Open Technology Institute (OTI) and BetaNYC. Currently, he explores how technology can address societal challenges through civic quality of life , remote patient monitoring , and environmental resilience . His lab ( People+Technology Lab ) integrates interdisciplinary methods to create equitable tech solutions. Notable projects include SONYC Urban Sound Tagging (sonic data for city planning) and community science frameworks to mitigate environmental risks. He advocates for transparency in smart city deployments and ethical AI design .

Asieh Hosseini Tabaghdehiمشاهده پروفایل

مدرس ارشد

• Digital Transformation
• Artificial Intelligence Ethics
• Smart Data Governance
• +۷ مورد دیگر

Dr. Asieh Hosseini Tabaghdehi is a Senior Lecturer in Strategy & Business Economy at Brunel Business School, Brunel University of London. She serves as Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme. Additionally, she is Impact Lead at the Brunel Centre for AI: Social and Digital Innovation, where she leads the capability area in the Future of Work. Dr. Tabaghdehi is also an economist and social impact advisor for the independent NGO, Social Innovation Movement. Dr. Tabaghdehi earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She also holds a BA in Theoretical Economics from University of Mazandaran. She completed the Postgraduate Certificate in Academic Practice and is a Fellow of the Higher Education Academy. Dr. Tabaghdehi is internationally recognized for her research on digital transformation, with particular expertise in the ethical integration of artificial intelligence and digital technologies. Her work focuses on how emerging technologies shape industries, labor markets, and society, with emphasis on enhancing SME growth through technological innovation. She explores applications across critical sectors including social care, supply chain management, and environmental sustainability. A central theme in her research is smart data governance, ensuring ethical, transparent, and responsible use of data in decision-making processes. Her research portfolio demonstrates a consistent focus on the intersection of technology, ethics, and business strategy. She has developed frameworks like the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Her work connects academic research with practical policy applications, as evidenced by her presentations as oral and written evidence to the House of Commons Select Committee. Her publications span AI ethics, digital footprint implications, fertility economics, and healthcare cost analysis, showing interdisciplinary breadth while maintaining thematic coherence around digital transformation's societal impact. Scientific Awards and Recognition Semi-finalist: Research Impact Award at Brunel University London, 2023 Staff Award: Exceptional in Collegiality and Supportive to Colleagues at Brunel University London, 2022 Exceptional Performance at Regents University London, 2018-19 Staff Award in Teaching, Learning and Assessment at Regents University London, 2016 Best Lecturer Award at London Brunel International College, 2014 Best Lecturer Award at London Brunel International College, 2013 Dr. Tabaghdehi actively supervises PhD students researching areas including Smart Data Governance, Ethical AI Governance, Digital Innovation Impact, Responsible AI Adoption Strategies, Sustainability, and Future of Labour Market. She has secured research funding from multiple sources including the Economic & Social Research Council (ESRC), Brunel University London, and Brunel Business School. Her current projects include research on AI Adoption and Governance, Youth digital addiction, Algorithm Reliability Framework, and SMEs digital footprints. She has also co-designed the "Digital Adoption" module for the UK Government's Help to Grow Management program, demonstrating the practical application of her research. As a member of multiple professional organizations, Dr. Tabaghdehi serves as an associate practitioner at Social Value International, associate member of the Big Innovation Centre, and member of the All-Party Parliamentary Group on AI. She is also a member of the ESRC Review College, British Academy of Management Review College, and Energy Institute UK, contributing to the broader academic and policy communities through these roles.

Bryan Dowdمشاهده پروفایل

استاد

• Health Economics
• Health Policy Analysis
• Statistical Modeling
• +۳ مورد دیگر

Bryan Dowd is a Professor in the Division of Health Policy & Management at the University of Minnesota. With a PhD in Public Policy Analysis from the University of Pennsylvania (1982), MS in Urban Administration from Georgia State University (1976), and BA in Architecture from Georgia Institute of Technology (1972), his work focuses on health economics , statistical modeling , and healthcare financing . PhD, Public Policy Analysis, University of Pennsylvania, 1982 MS, Urban Administration, Georgia State University, 1976 BA, Architecture, Georgia Institute of Technology, 1972 His research spans health insurance dynamics , payment models , and statistical methodologies in healthcare. Key themes include upcoding practices , instrumental variable applications , and policy implications of risk ratios . Publications often address healthcare access , economic incentives , and data-driven policy evaluation . Recent article trends highlight moral hazard decomposition , odds ratio critiques , and switching cost analysis in Medicare Advantage. These works emphasize causal inference , economic modeling , and policy design challenges . Contact: dowdx001@umn.edu

Katherine L. Milkmanمشاهده پروفایل

استاد

• Behavioral Economics
• Judgment and Decision Making
• Behavior Change
• +۲ مورد دیگر

Katherine L. Milkman is the James G. Dinan Endowed Professor at The Wharton School of the University of Pennsylvania, with secondary appointments in the Perelman School of Medicine and School of Arts and Sciences. She co-founded and co-directs the Behavior Change for Good Initiative , focusing on harnessing behavioral economics and psychology for societal benefit. Education: PhD in Computer Science and Business, Harvard University Undergraduate degree (summa cum laude) in Operations Research and American Studies, Princeton University Her research bridges behavioral economics , decision-making , and health psychology , with applications in education, finance, and public health. Recent studies explore quantification fixation , streak incentives , and diversity interventions using megastudy methodologies. Scientific awards include Thinkers50 Top 50 Management Thinker (2021, 2023) APS Fellow (2020) FABBS Early Career Award (2015) Wyss Award (Harvard, 2008) She teaches courses in decision-making and judgment research , including OIDD9950 (Dissertation) and OIDD2990 (Judgment & Decision Making Research). Media outlets like The New York Times and Nature regularly feature her work, while her podcast Choiceology disseminates behavioral economics insights to a broader audience.