جست‌وجوی استاد و پژوهشگر

• Real Estate Management
• Real Estate Investments
• Real Estate Finance
• +۷ مورد دیگر

Prof. Dr. Michael Trübestein is a Lecturer and Head of the MSc in Real Estate program at the Lucerne School of Business (HSLU). He holds a Ph.D. from the University of Regensburg and has extensive experience in real estate management, teaching at institutions like the University of Kufstein and Politecnico di Milano. His research focuses on real estate investments, asset management, digitalization, and institutional investment strategies. He leads projects such as SaNuInvest and contributes to studies on logistics real estate, tokenization, and sustainable infrastructure. Education: EBS University (Germany), University of Illinois (USA), École Supérieure de Commerce de Dijon (France) Ph.D.: Real Estate Asset Management for Institutional Investors Research emphasizes institutional investment behaviors, real estate capital markets, and digital trends like blockchain and PropTech. He advises on real estate portfolios and collaborates with organizations like RICS and Swiss Pension Funds. His work bridges academic insights with practical applications for global real estate markets. Key projects include analyzing Logistics Real Estate as a new asset class and evaluating Tokenization ’s role in real estate transactions. He regularly publishes in journals like Swiss Real Estate Journal and presents at international conferences such as the European Real Estate Society and ARES.

Ali Nazarpourمشاهده پروفایل

استادیار

• Operations and Supply Chain Management
• Artificial Intelligence
• Mass Customization
• +۴ مورد دیگر

Dr. Ali Nazarpour is an Assistant Professor in Management at the School of Business, Maynooth University. He holds a PhD in Operations and Supply Chain Management from University College Dublin’s Smurfit School of Business, along with a BSc in Industrial Engineering and an MSc in Business Administration from Iran University of Science and Technology. Prior to his academic career, he spent nine years in industry roles, including Sales Supervisor, Marketing and Sales Planning Chief, and Inventory Management Project Manager in the automotive sector, alongside teaching and research activities. His work bridges industry experience with academic rigor, focusing on supply chain optimization, mass customization strategies, and AI integration in business processes. Education: PhD in Operations and Supply Chain Management (Smurfit School of Business, UCD) MSc in Business Administration (Iran University of Science and Technology) BSc in Industrial Engineering (Iran University of Science and Technology) Research Interests: Artificial Intelligence applications in supply chain and logistics Mass customization feasibility across industries and countries Third-party logistics selection methodologies Project management and risk mitigation strategies Global logistics frameworks Industry 4.0 technologies for operational efficiency His publications and conference contributions between 2014 and 2021 highlight trends in leveraging AI for supply chain decision-making, analyzing mass customization challenges, and exploring cross-country operational dynamics. Despite no explicit scientific awards listed, his active participation in conferences like INFORMS, POMS, and EurOMA underscores his academic engagement. In advising and teaching, he focuses on Contemporary Issues in Management, Operations and Supply Chain Management metrics, and Project Risk Management. His industry experience enriches classroom discussions and research projects. He is based in the TSI Building (Room 253) and reachable via ali.nazarpour@mu.ie or phone (01) 474 7516.

Wenwen Wangمشاهده پروفایل

دانشیار

• Computer Systems
• Compiler Design
• Computer Architecture
• +۴ مورد دیگر

Wenwen Wang is an Associate Professor in the School of Computing at the University of Georgia's Franklin College of Arts & Sciences. His research focuses on computer systems, compiler design, and embedded systems security. He holds a Ph.D. in Computer Science from the University of Chinese Academy of Sciences (2014). Education: Ph.D., Computer Science, University of Chinese Academy of Sciences, 2014 His research emphasizes dynamic binary translation, compiler optimization, and secure embedded systems. Notable contributions include frameworks like JavART (JIT compiler optimization) and BSan (memory error detection). He received the 2021 M. G. Michael Award for Sciences from the Franklin College. Wang has secured two NSF grants totaling $1.2 million, including CSR: Small grants for FALCON (2023–2027) and Modernizing Dynamic Binary Translation Systems (2023–2027). He advises three graduate students: Ruili Fang, Yage Hu, and Boyang Yi. His work addresses challenges in cross-architecture virtualization, GPU-based graph computing, and hardware-triggered security mechanisms. Recent projects include Liberator (GPU graph processing) and InvisiGuard (embedded device integrity).

Stefano Nicheleمشاهده پروفایل

استاد

• Artificial Life
• Neuro-Inspired Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Stefano Nichele is a Professor at the Department of Computer Science and Communication, Østfold University College, Norway. He holds additional roles as Professor II at OsloMet and has served in leading academic positions since 2014. His research focuses on Artificial Life (ALife), Neuro-Inspired AI, and Machine Learning, with a particular emphasis on cellular automata, reservoir computing, and neuro-inspired substrates. Nichele co-directs the Østfold AI (ØAI) hub and is an active member of IEEE, ELLIS, and the Norwegian AI Research Consortium (NORA). He earned his PhD in Computer Science from NTNU (2015) and completed his MSc at the University of Insubria, Italy. His work bridges computational systems and biological substrates, exploring criticality in neural networks and quantum-evolutionary algorithm interactions. He has received prestigious awards, including the Young Research Talent grant (2019) and the Distinguished Early-Career Investigator award (2024). Nichele’s research spans theoretical and applied domains, with over 50 publications on cellular automata dynamics, neuro-inspired robotics, and AI ethics. His recent projects include studying in vitro neural networks for computational capacity assessment and developing frameworks for body-brain co-evolution in soft robotics. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Science, University of Insubria (2009) Awards: Young Research Talent grant (2019) Distinguished Early-Career Investigator (2024) Grants & Roles: Co-director of the Østfold AI hub Board member of NORA (Norwegian AI Research Consortium) Labs & Collaborations: Focus on neuro-inspired AI systems and unconventional computing Partnerships with institutions like Simula Metropolitan and the International Society for Artificial Life (ISAL)

Edmund Beckerمشاهده پروفایل

استاد

• Health Policy
• Healthcare Systems
• Health Disparities
• +۳ مورد دیگر

Edmund Becker is a Professor in the Department of Health Policy and Management at Emory University. He previously served as Senior Research Associate at Harvard School of Public Health and led the Resource-Based Relative Value Scale (RBRVS) project, foundational to Medicare physician payment systems. His academic background includes roles at Vanderbilt University and the University of Colorado at Denver. He holds a PhD from Vanderbilt University, an MA from Ohio University, and a BS from Westminster College. Research interests focus on healthcare costs, outcomes, policy, and disparities. Notable projects include evaluating Medicaid provider prescription patterns, hospital performance benchmarking, and the impact of healthcare payment reforms. He serves on Emory Healthcare's Medical Practice Committee and the Accountability Review Council for Philadelphia's school reforms. His 100+ publications span cost analysis, payment systems, and surgical outcomes. Recent work addresses nurse staffing impacts on mortality and EHR effects on patient safety. Awards include Distinguished Alumni recognition from Ohio University (2005) and Westminster College (2009).

• Human Factors
• Cognitive Ergonomics
• Human-Robot Interaction
• +۵ مورد دیگر

Federico Fraboni is a Senior Assistant Professor (fixed-term) at the Department of Psychology 'Renzo Canestrari' of the University of Bologna. His research focuses on human factors, cognitive ergonomics, and the integration of advanced technologies such as collaborative robotics, AI systems, and exoskeletons into industrial and healthcare contexts. He leads projects like the STEPbySTEP initiative for exoskeleton benchmarking and the H-WORK platform for workplace mental health. Key research areas include: human-robot interaction safety, AI explainability in aerospace manufacturing, strategic foresight for home care innovation, and ergonomic design of collaborative robotics systems. He has collaborated with industries like Calzedonia for automation studies and contributed to EU-funded safety initiatives in energy sectors. His recent work emphasizes workplace well-being through digital tools, occupational safety training for homecare organizations, and the psychological impacts of emerging technologies. He has co-authored over 30 peer-reviewed articles and participates in interdisciplinary teams addressing human-centered design challenges across healthcare, manufacturing, and transportation domains.

Trevor Brownمشاهده پروفایل

دانشیار

• Concurrent Data Structures
• Lock-Free Algorithms
• Transactional Memory
• +۳ مورد دیگر

Trevor Brown is an Associate Professor in the Department of Computer Science at the University of Waterloo. Previously, he held positions as an Assistant Professor at the same institution, and completed postdoctoral research at the Institute of Science and Technology (IST) Austria under Dan Alistarh, and at the Technion – Israel Institute of Technology under Hagit Attiya. He earned his PhD from the University of Toronto under Faith Ellen's supervision, where he was part of the theory group. His research focuses on concurrent data structures, particularly lock-free algorithms, transactional memory, non-volatile memory systems, and techniques for non-uniform memory architectures (NUMA). He leads the UW Multicore Lab, which explores high-performance parallel computing and distributed systems. His work emphasizes rigorous experimental validation and practical implementations, reflected in extensive open-source code repositories. Brown has taught courses including CSC798 (Multicore Programming) and CSC341 (Algorithms), and has served as a teaching assistant for multiple computer science courses at the University of Toronto and York University. He maintains active collaborations through implementations of concurrent data structures (e.g., lock-free (a,b)-trees, B-slack trees) and benchmarks in the Setbench project.

David A. D. Tompkinsمشاهده پروفایل

دانشیار

• Satisfiability Problem (SAT)
• MAX-SAT
• Stochastic Local Search Algorithms
• +۷ مورد دیگر

Dave Tompkins is an Associate Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. He holds a PhD in Computer Science and a MASc in Electrical Engineering from the University of British Columbia, along with a BESc and BSc from Western University. His primary research focuses on Stochastic Local Search (SLS) algorithms for the Satisfiability Problem (SAT) and MAX-SAT. Research Interests: His work spans Stochastic Local Search Algorithms SAT and MAX-SAT problem solving Dynamic Local Search techniques Heuristic algorithm design and optimization Data compression and image coding Genetic algorithms and game theory Scientific Awards: He has received Best Paper Award (2006, CCAI) Best Poster Awards (2003, ASI; 1999, ASI) Gold and Silver Medals in SAT Competitions (2004) Incomplete Solver Track Awards (2012, MAX-SAT) Projects: He is known for developing the UBCSAT framework and the Captain Jack SAT solver. He has also contributed to standards like JBIG2 and JPEG-2000.

Pär Åhlströmمشاهده پروفایل

استاد

• Lean Manufacturing
• Agile Manufacturing
• Sustainability in Business
• +۶ مورد دیگر

Pär Åhlström is a Professor at the Department of Entrepreneurship, Innovation and Technology at the Stockholm School of Economics (SSE), and serves as Vice President of Degree Programs. He holds the prestigious Torsten and Ragnar Söderberg Chair in Business Administration. His research focuses on lean manufacturing, agile processes, sustainability in operations, and innovation management. He is affiliated with the Mistra Center for Sustainable Markets. Åhlström’s work bridges theory and practice, emphasizing dynamic capabilities, quality management, and the integration of IT with lean principles. His research spans longitudinal studies in manufacturing and services, exploring topics like organizational slack in R&D, modular product design, and healthcare process optimization. He has published extensively across academic journals and presented at international conferences. His awards include the Torsten and Ragnar Söderberg Chair, reflecting his scholarly contributions. His articles highlight trends in sustainable business performance, lean service adoption, and the evolving role of technology in operations. He actively engages in educational leadership, shaping curricula and overseeing degree programs at SSE.

Søren Rud Kristensenمشاهده پروفایل

استاد

• Health Economics
• Healthcare Quality Improvement
• Healthcare Incentive Design
• +۳ مورد دیگر

Søren Rud Kristensen is a Professor at the Department of Public Health, University of Southern Denmark and holds an Honorary Senior Lecturer position at Imperial College London. His research focuses on healthcare organization and performance, particularly incentive design for quality improvement, with expertise in microeconometric analysis of large administrative datasets. He has held roles including Senior Lecturer (2017-2021) at Imperial College London. Key research areas include payment for performance systems, integrated care models, and clinical guideline implementation. He has published extensively on healthcare quality, patient safety, and health policy with 71+ peer-reviewed articles. His work addresses challenges like hospital competition effects, spillover mechanisms of financial incentives, and the impact of adverse events on patient outcomes. He has received multiple research grants including support for Manchester research stays and funding from Sygekassernes Helsefond. Teaching responsibilities include modules on integrated health care, quality management, and data-driven quality development. His current projects focus on regulating knowledge use in healthcare (PINCH project) and evaluating resource constraints in primary care. Labs/teams involvement includes collaborations through the Danish Centre for Health Economics (DaCHE) and international networks analyzing health systems in England, Brazil, Mozambique, and Zimbabwe. His work bridges economic theory with practical healthcare system improvements.

Age Chapmanمشاهده پروفایل

استاد

• Data Provenance
• Decentralized Systems
• Machine Learning Ethics
• +۱ مورد دیگر

Age Chapman is Professor of Computer Science at the University of Southampton. She leads research in data provenance, decentralized systems, and ethical AI through projects like ESPRESSO focused on secure personal data search. Her work bridges computer science with healthcare, heritage preservation, and social justice applications. Research interests include: privacy-preserving data architectures, algorithmic fairness in healthcare, and provenance tracking for AI systems. She directs PhD research across these domains and collaborates with the Alan Turing Institute and healthcare organizations. Publications demonstrate strong focus on decentralized data management (80% of recent papers) with growing emphasis on AI ethics. Awards include the SIGMOD Test of Time Award for seminal provenance research. Current grants support work on sovereign data ecosystems and healthcare AI fairness. She leads the Digital Health and Biomedical Engineering research group and collaborates internationally through the Alan Turing Institute and European partnerships. Manages labs exploring data trust architectures and healthcare AI systems.

• Marketing Strategy
• Marketing Channels
• Digital Marketing
• +۳ مورد دیگر

Stephen J. Carson is the David Eccles Professor of Marketing and Chair of the Marketing Department at the University of Utah's David Eccles School of Business. He joined the faculty in 2000 and holds an M.B.A. from the University of Texas-Austin and a B.A. in Economics from the University of Illinois, alongside his Ph.D. in Marketing from the University of Minnesota. His research focuses on marketing strategy, marketing channels, and digital marketing, with publications in top-tier journals such as the Journal of Marketing , Journal of Marketing Research , and Strategic Management Journal . He has been recognized with the Brady Superior Teaching Award and Faculty Research Excellence Award. Teaching responsibilities include core marketing strategy courses in the Professional MBA program, as well as specialized courses like Marketing Honors Projects and Thesis Research for Ph.D. students. His work bridges theoretical frameworks with empirical insights, addressing topics like online customer behavior, outsourced R&D governance, and the impact of diversity in media. Education: Ph.D., Marketing, University of Minnesota, 2000 M.B.A., Marketing, University of Texas-Austin, 1991 A.B., Economics, University of Illinois, 1989 His research consistently explores the intersection of strategic marketing decisions and organizational dynamics, with a focus on digital transformation and consumer-centric approaches.

Lu Xingمشاهده پروفایل

دانشیار

• Energy System Modeling
• Sustainable Energy Storage
• Artificial Intelligence in Green Energy
• +۴ مورد دیگر

Lu Xing is an Associate Professor in the Mechanical and Construction Engineering Department at Northumbria University. His research focuses on energy system modeling, sustainable energy storage, and AI-driven green energy solutions. He holds a PhD in Mechanical and Aerospace Engineering from Oklahoma State University, alongside master's and bachelor's degrees in related disciplines. Key roles include Principal Investigator for over £14 million in research projects funded by UK EPSRC, Innovate UK, and energy companies. He co-founded Continuous Power as Chief Scientist and advised the ICURe Programme. His work addresses UN Sustainable Development Goals, particularly energy transition and environmental sustainability. Research interests span PEM fuel cells, hydrogen integration, battery systems, and AI applications in energy optimization. He has published 70+ papers in top journals/conferences and delivered keynote speeches at events like the 29th CSCST-SCI Conference. He chairs sessions at international conferences such as EcoMat 2024. Current projects include optimizing building multi-energy systems with green hydrogen, improving fuel cell performance through novel cooling designs, and developing fault diagnosis models for HVAC systems using machine learning. Advising: Accepting PhD students for projects in energy system modeling, AI for green energy, and sustainable materials. Over 20 research projects demonstrate expertise in cross-sector collaboration (academia, industry, government). Labs/Teams: Leads Northumbria's Energy Systems Research Group, collaborating internationally on projects funded by the US Department of Energy and Oak Ridge National Laboratory.

Adriana Fumi Chim-Mikiمشاهده پروفایل

استاد

• Tourism Management
• Coopetition Strategies
• Competitiveness
• +۵ مورد دیگر

Adriana Fumi Chim-Miki is a permanent Professor in the Graduate Program in Management and an Adjunct Professor in the Undergraduate Program in Management at the Federal University of Campina Grande (UFCG), Brazil. She also holds a postdoctoral researcher position at the University of Aveiro, Portugal, and is a Collaborate Professor at the University of San Buenaventura de Cali, Colombia. She coordinates the Coopetition Network Lab (CNPq-registered) and is a Full Member of the GOVCOPP Research Unit at Aveiro University. Her work focuses on tourism, coopetition strategies, competitiveness, and social value creation, supported by grants from CNPq and CAPES. Education: PhD in Tourism, Economics, and Management – University of Las Palmas de Gran Canaria, Spain Master's in Geography (Regional Development) – Federal University of Rio Grande, Brazil Postgraduate in Environmental Management at Municipalities – Brazil Bachelor's in Management – Federal University of Rio Grande, Brazil Research Interests: Tourism management, coopetition strategies, competitiveness, destination image, social management, strategic management, interorganizational networks, and entrepreneurship. Her recent work emphasizes social value creation through tourism coopetition and sustainable practices. Awards: Researcher Productivity Grant from CNPq (Brazil) Grants & Funding: Supported by CAPES Foundation (Brazil), Ministry of Education (Brazil), and CNPq. Labs/Groups: Coordinator of Coopetition Network Lab (CNPq), Full Member of GOVCOPP (University of Aveiro).

• Real Estate Finance
• Household Finance
• Commercial Real Estate
• +۳ مورد دیگر

Elyas Fermand serves as Assistant Professor of Finance at Santa Clara University's Leavey School of Business and Faculty Director for the SCU Real Estate Institute, where he joined in fall 2021 after completing his PhD at UNC Kenan-Flagler Business School. His educational background includes: PhD in Finance, University of North Carolina at Chapel Hill Kenan-Flagler Business School MA in Economics, Duke University BSc in Biotechnology and Economics, University of Waterloo Professor Fermand's research program bridges institutional finance and household behavior, with dual expertise in real estate markets and behavioral economics. His work examines how commercial real estate investments by institutional investors create real economic impacts (particularly on employment), while simultaneously investigating how households form and act upon expectations under uncertainty. This unique intersection reveals how macro-level investment decisions propagate through to micro-level household economic behavior. His publication trajectory shows increasing focus on institutional investor behavior, with recent work analyzing pension fund allocations to private equity (2023) and social-impact commercial real estate investments (2021), building upon foundational research on household uncertainty (2018). This progression demonstrates growing influence in both real estate finance and behavioral household economics domains. Prior industry experience as Senior Quantitative Analyst in Residential Mortgage Credit Risk at Citizens Financial Group provides practical grounding for his academic research, creating valuable connections between theoretical frameworks and market realities in financial risk assessment.