جست‌وجوی استاد و پژوهشگر

• Criminology
• Political Sociology
• Penal Systems
• +۱۲ مورد دیگر

Dr Luca Follis is an Associate Professor in Criminology within the Department of Sociology and Criminology at the School of Law, Politics and Sociology, University of Sussex. His interdisciplinary research explores the intersections of law, power, technology, and resistance, with a focus on penal systems, surveillance, and digital activism. His education includes a PhD in Sociology (with Honours) from the New School for Social Research, where his dissertation won the Albert Solomon Memorial Award. He also holds a B.A. in English Textual Studies from Syracuse University and a B.A. in Sociology and Mass Communication from the University of New Mexico. Political Sociology Criminology and Penal Governance Hacktivism and State Hacking Surveillance and Networked Technology Carceral Logistics and Prison (Im)mobilities Migration, Health Systems, and (Im)mobilities His recent publications reflect a strong trend in analyzing how digital technologies reshape state power and resistance, from state hacking and cyberwar to healthcare access during pandemics. He frequently collaborates with scholars like Anna Fish and engages in critical legal and historical analyses of punishment and control. Albert Solomon Memorial Award in Sociology, New School for Social Research Senior Fellow of the Higher Education Academy Luca Follis advises students and contributes to academic discourse through editorial work, collaborative research, and public engagement. While specific grant details are not listed, his extensive publication record and interdisciplinary projects suggest active research funding. He is involved in critical studies of justice infrastructures, carceral systems, and digital governance. His work bridges historical and contemporary issues, from 19th-century penal governance to modern cyber conflicts, often situating technological change within broader political and cultural dynamics. He contributes to both academic and public understanding of power, resistance, and justice in digital and carceral contexts.

Richard B. Evansمشاهده پروفایل

استاد

• Investment Management
• Finance
• Portfolio Theory
• +۷ مورد دیگر

Richard B. Evans is a Senior Associate Dean for Research Services and Support at the University of Virginia's Darden School of Business, where he also holds the Donald McLean Wilkinson Research Chair. His research focuses on investment decisions, fund manager incentives, exchange-traded funds, corporate political activity, and quantitative investment strategies. University of Virginia, Darden School of Business Visiting faculty at Nova Universidade de Lisboa Senior Research Fellow at Università di Torino Education: B.S., M.S. in Chemistry, University of Utah M.A., Ph.D. in Finance, Wharton School, University of Pennsylvania His research has been published in top journals like Journal of Finance and Review of Financial Studies , with recent work analyzing ETF dynamics, short-selling risks, and team performance in asset management. Articles span topics from speculative market behaviors to institutional investor strategies. Scientific Awards: Santander Research Fellowship, Cambridge University Senior Research Fellowship, Università di Torino Evans has presented to the U.S. Securities and Exchange Commission, Federal Reserve, and American Finance Association. He serves on the Financial Analysts Journal editorial board and directs the Money Management Institute's Executive IQ Program.

• Logistics Management
• Production Engineering
• Industrial Safety
• +۳ مورد دیگر

Dr. Lilianna Wojtynek is a Lecturer at the Department of Logistics, Faculty of Production Engineering and Logistics, Opole University of Technology. Her academic career focuses on logistics, production engineering, and industrial safety. Current Position: Lecturer in Logistics Department: Logistics School: Faculty of Production Engineering and Logistics University: Opole University of Technology Research interests span logistics systems, quality management, and transportation safety. Key themes include: Lean methodologies (5S, supply chain optimization) Industry 4.0 applications in logistics Risk analysis in transportation and logistics Production process planning and decision modeling Articles trends emphasize industrial safety, logistics efficiency, and technology integration in transportation. Notable subfields include dynamic forklift testing, BRT systems, and hazardous material storage.

Lukasz Szpruchمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Analysis
• Theoretical Machine Learning
• +۱۰ مورد دیگر

Lukasz Szpruch serves as Professor at the University of Edinburgh's School of Mathematics and Programme Director for Finance and Economics at The Alan Turing Institute. He leads the FAIR research programme on responsible AI adoption in financial services and co-investigates the UK Centre for Greening Finance & Investment (CGFI), directing partnerships with the National Office for Statistics, Accenture, Bill & Melinda Gates Foundation, and HSBC. He maintains affiliations with the Oxford-Man Institute for Quantitative Finance. His research focuses on probability theory , stochastic analysis , and theoretical machine learning , with current investigations into deep learning foundations, mean-field models, reinforcement learning, game theory, multiagent systems, and computational optimal transport. These theoretical frameworks are rigorously applied to financial economics problems including market dynamics, risk modeling, and regulatory compliance, emphasizing mathematical precision in AI system design. Recent publications reveal a strategic shift toward responsible AI deployment in finance , addressing large language model governance, synthetic data privacy, and non-asymptotic sampling theory. His work consistently bridges abstract mathematics with financial sector applications, particularly through the FAIR programme's industry collaborations that translate theoretical advances into practical frameworks for trustworthy AI adoption. As Principal Investigator of FAIR and CGFI co-Investigator, Szpruch manages significant research funding streams focused on AI ethics in financial services and sustainable finance. His academic leadership drives cross-sector initiatives where theoretical research directly informs regulatory policy development and industry best practices, though specific student mentoring details remain unspecified in source materials. Szpruch operates at the nexus of three critical research ecosystems: the FAIR programme's industry partnerships, CGFI's sustainability-focused finance research, and the Oxford-Man Institute's quantitative finance initiatives. These interconnected teams combine mathematical rigor with real-world financial applications, developing frameworks for AI assurance, green finance metrics, and synthetic data validation that address systemic challenges in modern financial systems.

Margaret Garciaمشاهده پروفایل

دانشیار

• Water Resource Management
• Urban Infrastructure
• Watershed Hydrology
• +۶ مورد دیگر

Margaret Garcia is an Associate Professor at the School of Sustainable Engineering and the Built Environment , Arizona State University (ASU). She is affiliated with multiple research centers, including the Center for Behavior, Institutions and the Environment (CBIE) , Central Arizona-Phoenix Long Term Ecological Research , Earth Systems Science for the Anthropocene , Water Institute , and Global Futures Scientists and Scholars . Education: Ph.D., Civil and Environmental Engineering, Tufts University (2017) M.S., Civil and Environmental Engineering, University of California-Los Angeles B.S., Civil and Environmental Engineering and B.A., International Studies, Lafayette College (2004) Her research focuses on the sustainability and resilience of urban water systems , using systems analysis to study feedbacks in coupled human-hydrological systems . Key themes include reservoir operations , adaptive infrastructure , water policy , and real-time flood monitoring . Recent work explores equity in water management , institutional dynamics , and green infrastructure optimization . Her 15 most recent publications span topics in socio-hydrology , water policy analysis , climate change adaptation , and urban flood modeling , with applications to the Western Water Network , Colorado River Basin , and transboundary regions like Ambos Nogales. Collaborative projects include NSF-funded initiatives on adaptive reservoir operations , cross-scale interactions , and community-based flood awareness . Scientific Awards: NSF CAREER Grant 1942370 (2020) She mentors students in Ph.D. programs (e.g., Ashish Shrestha , Behshad Mohajer ) and Master’s programs (e.g., Dillon Nys , Krista Lawless ). Her teaching includes graduate courses on research, reading, and thesis advising, alongside undergraduate hydrology classes.

Kostas Papakonstantinouمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Civil Engineering
• Computational Mechanics
• +۹ مورد دیگر

Kostas Papakonstantinou is an Associate Professor in the Department of Civil Engineering at Penn State University, affiliated with the College of Engineering. His research bridges Artificial Intelligence (AI) with Civil Engineering, focusing on uncertainty quantification and decision-making under uncertainty. Research Areas: Uncertainty Quantification Stochastic Control Deep Reinforcement Learning Bayesian Analysis Nonlinear Filtering Computational Mechanics Infrastructure Management Rare Events Quantification His work emphasizes AI-driven solutions for structural life-cycle management, infrastructure systems, and autonomous operations. Funded by the NSF and USDOT, his projects include AI-enabled fiscally constrained life-cycle asset management and Deep reinforcement learning for multi-asset infrastructure management . Scientific Awards: NSF CAREER Award: Optimal engineering decision-making under uncertainties for enhanced structural life-cycle He teaches graduate courses on Uncertainty and Reliability in Civil Engineering (CE 566) and Computational Analysis of Randomness in Engineering (CE 597) .

Abbas Milaniمشاهده پروفایل

پژوهشگر ارشد

• US/Iran relations
• Iranian history
• Iranian politics
• +۴ مورد دیگر

Abbas Milani serves as a Research Fellow and co-director of the Iran Democracy Project at the Hoover Institution, and as the Hamid and Christina Moghadam Director of Iranian Studies at Stanford University. His expertise centers on US/Iran relations and Iranian cultural, political, and security issues. Milani's research interests span Iranian history, politics, and US-Iran relations, with a particular focus on the evolution of Iranian political thought, regime dynamics, and the historical context of contemporary Iranian politics. His scholarship bridges academic analysis with policy relevance, examining how historical patterns shape current geopolitical realities in the Middle East. His recent publications demonstrate consistent focus on Iranian regime stability, nuclear policy, US-Iran relations, and regional power dynamics. Milani's analytical approach combines historical perspective with contemporary political analysis, revealing patterns in Iranian leadership behavior, regime survival strategies, and the interplay between domestic politics and foreign policy. Member of the American Association of Political Science Member of the American Academy of Political and Social Science Member of the Association of Iranian Studies Milani maintains an active role in mentoring emerging scholars and engaging with policy communities, translating complex historical and political analysis into accessible insights for broader audiences. His work often appears in major media outlets, demonstrating his commitment to bridging academic research and public understanding of critical geopolitical issues.

• Artificial Intelligence in Healthcare
• Digital Health Interventions
• Chronic Disease Prevention
• +۱۵ مورد دیگر

Dr. Yoshimi Fukuoka is a Professor at the University of California, San Francisco (UCSF) School of Nursing , specializing in Physiological Nursing . She holds a PhD in Nursing and Postdoctoral Fellowship from UCSF, with a career focused on AI-driven health interventions , chronic disease prevention , and mobile health (mHealth) applications for diverse populations. Her research bridges artificial intelligence and behavioral health , emphasizing personalized physical activity programs , cardiovascular risk reduction , and diabetes prevention . She has developed AI chatbots to improve heart disease awareness and conducted clinical trials on metabolic syndrome and colorectal cancer survivorship . Recent publications highlight her work on: AI chatbots for heart attack knowledge and physical activity interventions Machine learning in diabetes risk prediction and microRNA analysis Cultural adaptations of mHealth for Asian Americans and Latinos Behavioral analytics in weight loss and exercise adherence Scientific awards include: 2014-2017: National Science Foundation EAGER Grant 2011-2013: UCSF Diabetes Family Fund Award 2010-2012: American Heart Association National Clinical Research Program Award 2008: Marie Cowan Promising Young Investigator Award Her work spans UCSF , with collaborations across NIH , Alzheimer's Association , and Noyce Foundation , addressing health disparities , digital health policy , and precision health through grants like NIH R01HL104147 and K24NR015812 . Media coverage includes USA Today , NHLBI News , and UCSF News for her AI in nursing innovations.

Hwanki Brian Kimمشاهده پروفایل

استادیار

• Corporate Finance
• Corporate Governance
• Institutional Investors
• +۱ مورد دیگر

Hwanki Brian Kim is an Assistant Professor of Finance at Baylor University's Hankamer School of Business, teaching International Business Finance. His research spans corporate finance, corporate governance, institutional investors, and executive compensation, with publications in top-tier journals. PhD, Finance (2018), University of Illinois at Urbana-Champaign MS, Industrial & Operations Engineering (2011), University of Michigan MSE, Financial Engineering (2008), University of Michigan BS, Electrical Engineering & Computer Science (2003), Seoul National University Kim’s research investigates how corporate investment horizons align with institutional investor horizons, agency conflicts in passive ownership, cash retention inefficiencies, and risk management during crises. His work bridges corporate decision-making with institutional investor impacts. Recent publications highlight trends in corporate governance, cash management, and institutional investor activism. Notable topics include internal capital markets in business groups, uncertainty-driven investment policies, and the dual role of index funds in corporate monitoring.

Kristin Livingstonمشاهده پروفایل

استادیار

• Pediatric Orthopedic Trauma
• Innovative Imaging Modalities
• Orthopedic Trauma Quality Improvement
• +۱ مورد دیگر

Kristin Livingston, MD is an Assistant Professor of Orthopedic Surgery at Harvard Medical School and serves as Director of the Orthopedic Trauma Program at Boston Children’s Hospital. She plays key roles in clinical leadership, quality improvement, and education within the department. Education: Dartmouth College (Undergraduate), UCSF School of Medicine (MD), Harvard Combined Orthopedic Residency, Boston Children’s Pediatric Fellowship Professional Engagement: Member of Orthopaedic Trauma Association, POSNA, AAOS; serves on multiple hospital and departmental committees Research Focus: Specializes in pediatric orthopedic trauma, innovative imaging modalities, and family-centered care protocols. Her work addresses diagnostic accuracy, treatment standardization, and trauma system optimization. Clinical Innovation: Developed family education programs, revised fracture treatment protocols, and established triage algorithms for pediatric trauma urgency. Academic Collaborations: Partnered with Harvard Medical School Orthopaedic Trauma Initiative to bridge pediatric and adult trauma care.

• Ice Mechanics
• Fracture Mechanics
• Arctic Marine Technology
• +۴ مورد دیگر

Jukka Tuhkuri is a Professor at Aalto University's Department of Energy and Mechanical Engineering, specializing in ice mechanics and arctic marine technology . He serves as Editor-in-Chief of Cold Regions Science and Technology and became an Honorary Professor at University College London (Department of Earth Sciences) in 2023. His work spans numerical simulations using the Discrete Element Method (DEM) and experimental research in the Aalto Ice and Wave Tank, with fieldwork in both Arctic and Antarctic regions. Research Focus : Understanding ice fracture mechanics, sea ice ridge formation, and ice-structure interaction processes. He investigates how global warming alters ice conditions and affects loads on ships/marine structures, addressing risks from increased Arctic shipping activity. Scientific Awards 2023 POAC Founders Lifetime Achievement Award Teacher of the Year 2003 Espoo Ambassador 2012 1996 Best Dissertation Stipend from Helsinki University of Technology Collaborative Impact : His research directly informs offshore wind engineering and Arctic risk management frameworks through publications like Challenges with sea ice action on structures for Offshore wind (2023) and A comprehensive approach to scenario-based risk management for Arctic waters (2022).

• Total Productive Maintenance
• Artificial Intelligence
• Multi-Criteria Decision Making
• +۳ مورد دیگر

Ebru Turanoglu Bekar is a Senior Lecturer at the Department of Industrial and Materials Science, Chalmers University of Technology, specializing in Smart Maintenance and Production Systems. She contributes to the Production Service Systems & Maintenance research group. Research Interests: Total Productive Maintenance (TPM), Artificial Intelligence applications in manufacturing, Multi-Criteria Decision Making, Performance Measurement systems Recent Focus: Development of data-driven algorithms for predictive maintenance, integration of digital twins in industrial contexts Key Projects: Factory SensAI (2025–2028) - Data integration for AI in manufacturing Trustworthy Predictive Maintenance TPdM (2022–2025)

Guoyin Liمشاهده پروفایل

استاد

• Optimization
• Variational Analysis
• Multilinear Algebra
• +۵ مورد دیگر

Professor Guoyin Li is a faculty member at the School of Mathematics & Statistics , University of New South Wales (UNSW Sydney). He holds a Ph.D. from The Chinese University of Hong Kong (2007) and has been at UNSW since 2011, currently serving as Professor and Research Director. Research Interests His work spans optimization , variational analysis , and multilinear algebra , with applications in robust optimization , structural engineering , and machine learning . He specializes in nonconvex nonsmooth optimization , tensor eigenvalue problems , and exact semi-definite programming relaxations . Recent Publications His articles focus on robust optimization for structural design, nonlinear approximation techniques, and conic programming for uncertain data. Key journals include Foundations of Computational Mathematics , Mathematical Programming , and Computer Methods in Applied Mechanics and Engineering . Awards and Grants Fellow of the Australian Mathematical Society (2023) 2022 AustMS Medal 2024 Marguerite Frank Award ARC Discovery Grants (2021-2023, 2025-2027) ARC Research Hub Project (2017-2021) Professional Roles He serves on editorial boards of SIAM Journal on Optimization , Optimization Letters , and Journal of Optimization Theory and Applications , and has delivered plenary lectures at international conferences in Austria, Spain, and Canada.

Mauricio Villarroelمشاهده پروفایل

دانشیار

• Digital Health
• Non-contact Physiological Monitoring
• AI in Medicine
• +۷ مورد دیگر

Professor Mauricio Villarroel is an Associate Professor of Biomedical Engineering at the University of Oxford's Institute of Biomedical Engineering and a Fellow of Magdalen College. He leads the Laboratory for Computational Medicine and Technology (LCMT), which focuses on improving clinical decision-making through digital health innovations for both high-income and low- or middle-income countries. Villarroel was born in Bolivia where he completed his undergraduate engineering degree before obtaining his doctoral degree in Engineering Science from the University of Oxford. He previously worked as a research scientist at the Health Sciences and Technology department at MIT and Harvard University, collaborating with multidisciplinary teams from academia, hospitals, and industry to develop advanced monitoring algorithms for intensive care. He returned to Oxford as a post-doctoral research assistant in Data Fusion & Telehealth and later served as a Senior Researcher in Next Generation of Digital Health. His research focuses on developing non-contact video-based physiological monitoring technologies to create personalized biomarkers of health. He has founded the spinout company OxeHealth based on his early work. Currently, his laboratory develops AI models to identify meaningful physiological changes using multimodal sensing technologies including video cameras, wearable devices, wireless technologies, smartphones, and body-worn sensors. His primary research areas include cardiovascular disease and neurodegenerative diseases, spanning from early detection of chronic conditions to in-hospital monitoring and remote management in community settings. He is also the first academic appointment of The Podium Institute for Sports Medicine and Technology, where he develops technologies to monitor factors leading to sports injuries in young athletes aged 11-18 years. Analysis of his recent publications reveals a strong focus on non-contact physiological monitoring, particularly using photoplethysmography and video-based technologies. His work spans cardiovascular monitoring (blood pressure estimation, circadian rhythms), neurological applications (movement disorders), respiratory monitoring (particularly in infants), and sports medicine (athlete screening). A consistent theme across his research is the development of AI-driven, multimodal approaches to extract meaningful clinical information from non-invasive or contactless monitoring systems. Villarroel has received significant recognition for his work, with multiple publications referenced in patents and clinical guidelines. His research has been picked up by news outlets and widely shared on social media platforms, indicating substantial impact in both academic and practical domains. His work on non-contact monitoring has particularly gained attention for its potential applications in resource-limited settings. As a research leader, Villarroel collaborates extensively with clinicians, engineers, and industry partners. His laboratory offers DPhil opportunities at the intersection of medicine, engineering, and technology. His research has led to practical applications including technologies for monitoring post-operative patients, detecting apnea in infants, and screening athletes for cardiac conditions that could lead to sudden death. The Laboratory for Computational Medicine and Technology maintains strong connections with Oxford's Medical Sciences campus, adjacent to the Churchill Hospital, facilitating direct translation of engineering innovations into clinical practice. The lab's work bridges multiple domains including computer vision, signal processing, AI, and clinical medicine to address significant healthcare challenges.

Travis J. Fuerstمشاهده پروفایل

استادیار

• Product Lifecycle Management
• Project Management
• Continuous Improvement
• +۴ مورد دیگر

Travis J. Fuerst is an Assistant Professor of Practice at the School of Engineering Technology within the Purdue Polytechnic Institute at Purdue University, West Lafayette. He has held this position since 2022, previously serving in the Department of Computer Graphics Technology from 2016 to 2022. Before returning to academia, he accumulated over 13 years of industry experience at The Boeing Company as an Engineering Workplace Coach, IT Project Manager, and Continuous Improvement Leader, complemented by 21 years of military service in the U.S. Army Reserves where he retired as a Major from USTRANSCOM in 2017. His academic credentials include: Master of Science in Technology (Product Lifecycle Management) from Purdue University (2002) Bachelor of Science in Computer Graphics Technology from Purdue University (2000) with a minor in Organizational Leadership and Supervision Professor Fuerst specializes in Product Lifecycle Management (PLM), Project Management, Continuous Improvement, and Configuration Management, integrating Lean Manufacturing and Six Sigma methodologies into both industrial applications and educational frameworks. His instruction emphasizes practical skill development for industry readiness, leveraging extensive real-world experience to bridge theoretical concepts with professional practice in engineering technology fields. His publication portfolio demonstrates a clear trajectory toward integrating Product Data Management systems into engineering education, with emphasis on digital enterprise solutions and pedagogical innovation. Key themes include parametric solid modeling applications, collaborative project-based learning frameworks, and curriculum development for PLM implementation across undergraduate programs, reflecting his dual focus on technological advancement and educational transformation. His recognition includes: Purdue Polytechnic 2013 Early Career Award Professor Fuerst actively mentors undergraduate and graduate students through project-based design learning that cultivates higher-order thinking skills, directly applying his industry expertise in risk analysis, resource allocation, and cross-functional team leadership. His curriculum development work demonstrates sustained commitment to advancing engineering education practices through practical, industry-aligned methodologies. His leadership experience spans Boeing's continuous improvement initiatives and U.S. Army cyber operations, providing a robust foundation for developing team-based project management approaches that emphasize operational efficiency and strategic problem-solving in academic settings.