جستجوی استاد راهنمای دانشگاهی

Timothy Walshمشاهده پروفایل

استاد

• Critical Care
• Clinical Trials
• Perioperative Medicine
• +۲ مورد دیگر

Professor Timothy Walsh serves as Chair of Critical Care at the University of Edinburgh's Usher Institute within the College of Medicine and Veterinary Medicine. He concurrently holds the position of Director of Innovation for NHS Lothian and Health Innovation South East Scotland, bridging academic research with clinical implementation. His dual roles position him at the forefront of critical care research and healthcare innovation in the UK. Walsh's research spans critical and perioperative care, with a programmatic approach building complex multi-center trials. His work integrates epidemiology, systematic reviews, cohort studies, and stakeholder engagement to develop pragmatic trials. Recent focus includes AI algorithm validation, sedation protocols, transfusion medicine, and sepsis management. His fingerprint reveals deep expertise in Intensive Care Medicine (100%), Intensive Care Unit operations (74%), and Critical Illness (70%), with notable contributions to sedation research (35%) and sepsis (26%). His 221 research outputs include high-impact publications in NEJM, JAMA, and The Lancet. Current projects like the SHORTER antibiotic trial and aerosolized virus quantification study demonstrate ongoing leadership in trial methodology. As Director of Innovation for NHS Lothian (2018-2024), he established data-driven innovation frameworks connecting academic and industry partners to address NHS challenges. Walsh has secured £9 million as Chief Investigator and £34 million as co-applicant from NIHR, MRC, Wellcome, and industry sources. His leadership extends to founding the NIHR critical care specialty group (2007-15) and UK critical care research group (2007-16), which remain foundational to UK critical care research infrastructure. Trustee at Chest Heart & Stroke Scotland (2021-present) Director of Research & Development for NHS Lothian (2017-2021) Chair of 19 trial steering/data safety monitoring committees Leadership in 13 ECTU trials, 9 UK trials, and multiple international studies

Nicki Marquardtمشاهده پروفایل

استاد

• Industrial and Organizational Psychology
• Human Error
• Situational Awareness
• +۷ مورد دیگر

Prof. Dr. Nicki Marquardt is a Professor of Industrial and Organizational Psychology at the Rhine-Waal University of Applied Sciences , affiliated with the Faculty of Communication and Environment at the Kamp-Lintfort Campus. He has been in this role since 2010 and has played a key role in developing both the Bachelor's program in Industrial and Organizational Psychology and the English-taught Master's program in International Management and Psychology. His research and professional work focus on: Human error and error prevention Situational awareness Crew Resource Management (CRM) Safety culture Implicit cognition Business ethics He investigates how unconscious mental processes influence ethical decision-making and organizational safety, particularly in high-risk industries such as aviation, automotive, and healthcare. His recent publications highlight trends in safety culture transformation, mental readiness under stress, and the adaptation of CRM training across sectors. His work bridges experimental psychology with practical organizational interventions, emphasizing measurable improvements in human performance and safety. He has received his doctorate from Leuphana University of Lüneburg in 2009 on the topic of unconscious processes in ethical management decisions and previously contributed to research at the Institute for Experimental Business Psychology (LüneLab). He has also worked as an independent consultant, trainer, and researcher in human factors and safety culture. Prof. Marquardt actively presents at international conferences and publishes in peer-reviewed journals such as Human Factors and Ergonomics in Manufacturing & Service Industries and Journal of Business Ethics . He supports international companies in applying psychological insights to enhance performance and transform organizational cultures.

Leila Moslemi Naeniمشاهده پروفایل

مدرس ارشد

• Project Management
• Fuzzy Methods
• Mathematical Modelling
• +۵ مورد دیگر

Dr. Leila Moslemi Naeni is a Senior Lecturer at the University of Technology Sydney (UTS), School of Built Environment, with a dual appointment in the Faculty of Design, Architecture and Building. She previously served as a Lecturer at UTS (2016-2018) and Sessional Lecturer at Curtin University (2015-2016). PhD in Computer Science (University of Newcastle, 2017) MSc in Industrial Engineering (Sharif University of Technology, 2007) BSc in Industrial Engineering (Iran University of Science and Technology, 2004) Her research focuses on project management under uncertainty, integrating fuzzy systems and mathematical modeling with applications in construction, ESG reporting, and disruptive technologies. She developed innovative methods for statistical control charts in project monitoring and leads research on leveraging blockchain and digital tools for sustainable infrastructure. Recent publications highlight her work on resource-constrained scheduling algorithms, ESG integration in megaprojects, and gamification in project management education. She serves as Review Editor for Frontiers in Environmental Science and on the Editorial Board of Smart and Sustainable Built Environment . 2016 PMI NSW Research Award 2022 Walt Lipke Award 2013 FEBE Postgraduate Research Prize As an active research mentor, she supervises PhD students in machine learning applications, disaster management technologies, and social infrastructure investments. Her teaching emphasizes simulation-based learning, collaborating with Oulo University (Finland) to quantify educational value.

Ibrahim Demirمشاهده پروفایل

دانشیار مدعو

• Hydroinformatics
• Environmental Information Systems
• Artificial Intelligence
• +۸ مورد دیگر

Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.

Greta Falavignaمشاهده پروفایل

مدرس پاره‌وقت

• Econometrics
• Artificial Neural Networks
• Financial Analysis
• +۷ مورد دیگر

Greta Falavigna is an External Lecturer and PartTime Lecturer at the Polytechnic of Turin 's Department of Management and Production Engineering (DIGEP) , teaching Economics and Business Organization and Political Economy . She holds a Ph.D. in Economics and Technology Management and serves as Research Director (I° livello, Dirigente di ricerca) at CNR-IRCrES (National Research Council of Italy's Research Institute on Sustainable Economic Growth). Key research areas: Econometrics , Artificial Neural Networks , Work-Life Balance , Industry 4.0 , Healthcare Evaluation , and Public Research Analysis . Active in European labor policy with focus on aging populations and gender dynamics , particularly in work-life balance studies using two-step analytical approaches . Collaborates with institutions like European Commission , Italian automotive supply chain , and Italian National Research Council (CNR) . Scientific contributions include methodological innovations in non-parametric econometrics , policy evaluation frameworks for Industry 4.0 , and empirical studies on financial constraints in SMEs. Her work appears in journals like Expert Systems with Applications , European Journal of Operational Research , and Health Care Management Science . Scientific recognition includes National Scientific Qualifications for full/associate professor positions in multiple Italian disciplinary sectors (13/A2, 13/A4, 13/A3, 13/B4). Member of Italian Society of Industrial Economics and Policy (SIEPI) , European Sociological Association (ESA) , and Italian Society of Law and Economics (SIDE-ISLE) .

Sarah Ben Amorمشاهده پروفایل

استاد

• Multi-Criteria Decision Making (MCDM/MCDA)
• Operations Research
• Decision Support Systems
• +۵ مورد دیگر

Sarah Ben Amor is a Full Professor at the Telfer School of Management , University of Ottawa, with a PhD in Business Administration specializing in Operations and Decision Support. Her academic journey includes a B.A. from the University of Quebec in Outaouais (UQO), and M.Sc. and Ph.D. from Université Laval (uLaval). Fields of Interest : Multi-Criteria Decision Making (MCDM/MCDA), Operations Research, Decision Support Systems, Uncertainty Modeling, Risk Analysis Her research focuses on handling information imperfections in decision-making processes, particularly through multi-criteria analysis and stochastic modeling . Recent works include the development of hierarchical stochastic VIKOR methods, assessment of learning methodologies, and applications in healthcare and pharmaceutical decision-making. Her publication trends reveal a strong emphasis on multi-criteria frameworks for uncertain environments, spanning sustainable manufacturing , clinical decision-making , and portfolio analysis . Collaborative works appear in journals like Applied Soft Computing and Osteoarthritis and Cartilage . She has secured significant funding including: NSERC Grant (2019-2024): $130,000 Telfer School Grants : $6,000 (2014-2018) and $4,000 (2021-2022) Her educational contributions include teaching quantitative methods and developing decision-making models for defense, healthcare, and sustainability sectors, with international collaborations spanning Canada, Brazil, and Europe.

Gedas Adomaviciusمشاهده پروفایل

استاد

• Personalization Technologies
• Recommender Systems
• Data Mining
• +۵ مورد دیگر

Gedas Adomavicius is a Professor at the University of Minnesota ’s Carlson School of Management , holding the Larson Endowed Chair for Excellence in Business Education. He obtained his PhD in Computer Science from New York University (2002) , with prior degrees in Mathematics (BS/MS, Vilnius University, 1995) and Computer Science (MS, NYU, 1998). Research Focus: Personalization technologies, recommender systems, and machine learning for decision-making in information-intensive environments. Key Contributions: Pioneered techniques for improving recommendation stability, reducing biases, and integrating contextual information into recommendation algorithms. Grants & Recognition: Recipient of the U.S. National Science Foundation CAREER award, INFORMS Information Systems Society Distinguished Fellow Award, and Association for Information Systems Fellow Award. Publications: His work spans leading journals across computer science, information systems, and biomedical informatics. Key trends include advancements in recommender systems (context-aware, multi-stakeholder, and bias-aware models), machine learning for health analytics , and e-market mechanism design . He has over 33,000 citations according to Google Scholar. Education: Diploma (BS/MS) in Mathematics from Vilnius University, 1995 MS in Computer Science from New York University, 1998 PhD in Computer Science from New York University, 2002 Awards & Grants: INFORMS Information Systems Society Distinguished Fellow Award Association for Information Systems Fellow Award National Science Foundation CAREER award Academic Leadership: Served as Senior Editor for Information Systems Research and MIS Quarterly , and as department chair and academic director of the MSBA program at the Carlson School.

Rasmus Koss Hartmannمشاهده پروفایل

دانشیار

• Innovation Management
• Critical Entrepreneurship Studies
• Organizational Reflexivity
• +۳ مورد دیگر

Rasmus Koss Hartmann serves as an Associate Professor in the Department of Management, Society and Communication at Copenhagen Business School, Denmark. His scholarly work critically examines innovation and entrepreneurship through interdisciplinary lenses, contributing to United Nations Sustainable Development Goals related to responsible consumption, reduced inequalities, and sustainable economic growth. His research interests center on critical innovation management and entrepreneurship studies , with particular focus on deconstructing mainstream narratives around entrepreneurial culture. Key themes include organizational reflexivity in university incubators, the political economy of 'tech theater' in Silicon Valley, and Veblenian critiques of contemporary entrepreneurialism. Hartmann's work consistently challenges assumptions about acceleration in startup culture while exploring alternatives like slow management and untrepreneurial economic models. Analysis of his 39 publications reveals evolving scholarly trajectories: early work examined user innovation in government settings (2013-2018), followed by critical CMS contributions (2014-2016), and recent intense focus (2021-2025) on deconstructing entrepreneurial mythology through books like Innovation Management: Foundations and Futures (2025) and articles analyzing 'wantrepreneurs' and the 'speed ethic'. Hartmann has supervised three research projects including one PhD thesis, demonstrating commitment to mentoring next-generation critical scholars. His work shows significant interdisciplinary reach with publications spanning management journals ( Scandinavian Journal of Management ), innovation outlets ( Innovation: Organization & Management ), and engineering management forums ( IEEE Engineering Management Review ).

Flavio Bezerra Costaمشاهده پروفایل

استادیار

• Smart Grid
• Renewable Energy Systems
• Power System Protection
• +۱۰ مورد دیگر

Flavio Bezerra Costa serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University's College of Engineering. His research focuses on critical areas of modern power systems, including smart grid technologies, renewable energy integration, power system protection, and advanced applications of signal processing and artificial intelligence in electrical power networks. Dr. Costa's research interests span a comprehensive range of power system topics with particular emphasis on Smart Grid technologies, Integration of Renewable Energy Systems, Power System Protection, Control, and Monitoring, Power Quality analysis, Power Systems and Power Electronics, AC/DC Microgrids, High-Voltage Direct Current (HVDC) Electric Power Transmission Systems, and the application of Signal Processing and Artificial Intelligence (including Machine Learning) in power systems. His work bridges traditional power engineering with modern computational techniques to address contemporary grid challenges. Analysis of Dr. Costa's recent publications reveals a consistent focus on wavelet transform applications for power system protection and monitoring, particularly in the areas of fault detection, classification, and location. His research demonstrates strong integration of machine learning techniques with traditional power system protection methods, with significant contributions to transformer protection, transmission line fault analysis, and microgrid stability. The work shows an evolving trajectory from fundamental wavelet-based protection techniques toward more sophisticated AI-enhanced approaches for modern power grid challenges. Dr. Costa maintains an active research program with numerous publications in top-tier IEEE journals and conferences, demonstrating his significant contributions to the field of power systems engineering and protection.

Felipe Pathé Duarteمشاهده پروفایل

استادیار

• Political Violence
• Subversion
• Violent Non-State Actors
• +۶ مورد دیگر

Felipe Pathé Duarte is an Assistant Professor at NOVA School of Law and Deputy Director of CEDIS, with expertise in Peace, Justice, and Security . He coordinates the Master's program in Law and Security and co-founded the NOVA War & Law Lab. His roles span academic, policy, and consultative domains, including positions at the European Commission's Knowledge Hub, UNODC, Council of Europe, and RTP television. PhD in Political Science and International Relations (Catholic University of Portugal) Master's in Cybersecurity and Governance (Catholic University of Portugal) Bachelor's in Political Science and International Relations (Catholic University of Portugal) Bachelor's in Philosophy (University of Coimbra) His research focuses on political violence , subversion , violent non-state actors , and the geopolitical implications of extremism . Recent articles address hybrid threats , disinformation campaigns , and social media radicalization . He has authored monographs on global jihadism and violent extremism in Portugal. Fulbright fellowship in the US National Security Policymaking program of the U.S. Department of State Duarte leads public policy reports on hybrid threats , radicalization , and international security , collaborating with institutions like CEPOL and the Higher Institute of Police Sciences and Internal Security.

Aliosha Alexandrovمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Brand Management
• +۴ مورد دیگر

Aliosha Alexandrov is a Professor of Marketing in the Department of Marketing at the College of Business, University of Wisconsin Oshkosh. He maintains an active role in institutional governance through committees including the Technology Steering Committee (2011-present), Globalization Committee (2015-2023), and COB Council (2017-2023), while advising the Marketing Club since 2013. His educational foundation includes a BS from the Technical University of Sofia, Bulgaria, and both an MS and Ph.D. from the University of Memphis (2007). Professor Alexandrov's research spans consumer behavior , brand management , and word-of-mouth dynamics , with notable investigations into brand interestingness, humor in environmental advertising, and retail adaptation to online competition. His work frequently employs contingency frameworks to examine how contextual factors like employment status or environmental uncertainty moderate marketing outcomes. Recent publications reveal a strong focus on digital transformation (QR code adoption, network analysis of WOM) and service management (CRM success, frontline employee concerns), while maintaining consistent exploration of brand-customer relationships across diverse contexts from city branding to event management curricula. As an academic contributor, he serves as a journal article reviewer for major publications and evaluates faculty development grant proposals for UW Oshkosh. His committee work demonstrates sustained engagement with technology integration, globalization initiatives, and business school strategic planning. Professor Alexandrov actively bridges theory and practice through consulting with the Business Success Center since 2015 and shaping curriculum development through his research on value co-creation in event management education.

Anna Wilbikمشاهده پروفایل

استاد

• Data Fusion
• Intelligent Interaction
• Fuzzy Logic
• +۴ مورد دیگر

Anna Wilbik is a Professor in Data Fusion and Intelligent Interaction at the Department of Advanced Computing Sciences, Faculty of Science and Engineering, Maastricht University (The Netherlands). Her research bridges data understanding and human-machine synergy in complex systems, focusing on multi-criteria decision making, explainable AI, and data fusion techniques. PhD in Computer Science (with honors), Systems Research Institute, Polish Academy of Science (2010) Postdoctoral Fellow, University of Missouri (2011) Stanford University TOP500 Innovators Program Alumnus Research Pillars: Intelligent human-machine interaction for joint decision making Data fusion methods for heterogeneous data integration Contextualized multi-criteria decision frameworks Fuzzy logic and linguistic summaries for explainability Federated learning systems Article Trends: Recent work focuses on intuitionistic fuzzy sets for knowledge-intensive processes, federated learning with uncertainty handling, and linguistic summarization techniques for interpretable AI. She actively explores explainability , collaborative business models , and driver behavior analysis through attention-based models. Professional Leadership: Vice-chair of IEEE Fuzzy Systems Technical Committee Organizer of IEEE World Congress on Computational Intelligence (2024)

Stefan Wildermannمشاهده پروفایل

استاد

• Reconfigurable Systems
• Edge Computing
• Organic Computing
• +۷ مورد دیگر

Stefan Wildermann is a Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), where he leads the Reconfigurable Computing Group within the Chair of Computer Science 12 (Hardware-Software Co-Design) in the Department of Computer Science. He has maintained continuous research activity at FAU since 2006, progressing from researcher to his current leadership position. Dr. Wildermann earned his Diploma degree in Computer Science from FAU in 2006 and completed his doctorate (Dr.-Ing.) in Computer Science at the same institution in July 2012. His academic career has been entirely rooted at FAU, demonstrating a strong institutional commitment and progression through the ranks. His research spans multiple cutting-edge areas in computer science and engineering, with particular emphasis on reconfigurable systems and hardware-software co-design. Wildermann's work in edge computing explores efficient processing at the network periphery, while his research in organic computing investigates self-organizing systems that can adapt to changing environments. His expertise extends to optimization techniques for embedded systems, applying game theory principles and convex optimization methods to solve complex resource allocation problems. More recently, he has integrated reinforcement learning approaches to enhance system adaptability and performance. His teaching portfolio includes courses on event-driven systems, computer engineering fundamentals, embedded systems, and hardware-software co-design. Analysis of Wildermann's publication record from 2021-2025 reveals a strong focus on hardware acceleration, security, and embedded systems. His work demonstrates consistent evolution from foundational research in reconfigurable architectures toward practical applications in IoT, robotics, and secure computing. A significant portion of his recent work addresses near-data processing using FPGAs for database acceleration, while maintaining parallel research streams in side-channel security analysis and energy-efficient embedded systems design. His publications frequently appear in top-tier conferences including DATE, FPL, ASP-DAC, and HOST, reflecting strong recognition within the computer architecture and embedded systems communities. Wildermann has held significant leadership roles including Head of the Reconfigurable Computing Group since 2015 and previously served as Head of the Self-organizing Systems Group (2012-2015) and Lab Leader of the Automotive Lab within the Embedded Systems Initiative (2016-2020). His research has been consistently funded through multiple projects investigating invasive computing, reconfigurable architectures, and embedded systems design methodologies. Currently based in Room 02.116 at Cauerstr. 11, 91058 Erlangen, Wildermann continues to lead active research in the Hardware-Software Co-Design group, supervising projects that bridge theoretical computer science with practical hardware implementation challenges.

Priyanko Guchaitمشاهده پروفایل

استاد

• Organizational Behavior
• Error Management Culture
• Leadership
• +۷ مورد دیگر

Priyanko Guchait is a tenured Full Professor and Program Director of the Doctorate in Global Hospitality Leadership (DGHL) at the Conrad N. Hilton College of Global Hospitality Leadership , University of Houston. His research focuses on organizational behavior, leadership, human resources, and service management in hospitality contexts, with over 75 peer-reviewed articles published. Education: B.E. in Mechanical Engineering, University of Pune, India M.S. in Hospitality Management, University of Missouri M.S. in Human Resources and Employment Relations Ph.D. in Hospitality Management, The Pennsylvania State University Research Interests include error management culture, psychological safety, service recovery performance, leader behavioral integrity, and AI’s impact on hospitality workers’ mental health. His work examines shame, forgiveness climate, and team dynamics in service environments. Article Trends show a focus on multi-level error management, human-robot collaboration in service recovery, diversity inclusion climates, and cross-cultural leadership studies. Recent papers explore AI ethics, pandemic response strategies, and emotional labor in hospitality roles. Awards & Honors Stephen Rushmore/HVS Research Excellence Award (2023, 2015) Donald Greenaway Excellence in Research, Teaching, and Service Award (2022) Best Paper Award, The Service Industries Journal (2023) ICHRIE Faculty Collegiality Award (2021) ICHRIE McCool Breakthrough Award (2021) Honored as 50-in-5 Scholar (2021) Provost’s Excellence Award (2015) Best Reviewer Awards (IJCHM 2016-2017) Committee & Editorial Roles include Associate Editor of IJCHM, Coordinating Editor of IJHM, and leadership positions at ICHRIE (President 2020-2021, Vice President 2019-2020). He has served on university curriculum, research, and Ph.D. selection committees.

Zilong Wangمشاهده پروفایل

پژوهشگر

• Corporate Finance
• Asset Pricing
• Real Estate
• +۳ مورد دیگر

Dr. Zilong Wang is a Senior Research Associate at the Department of Land Economy, University of Cambridge . His academic work focuses on the intersection of corporate finance, asset pricing, and real estate finance. Key Research Areas: Corporate Finance, Asset Pricing, REITs, Real Estate Valuation, Real Estate Fund Performance Funding Bodies: EPRA, IPF, INREV, ANREV His research explores sustainability in institutional investment practices, housing wealth effects on financial behavior, sovereign debt dynamics, and environmental justice. Current projects analyze green credit policies, pension fund strategies, and CSR in post-pollution recovery. Notable publication trends include: 2025: Sustainable finance, housing market constraints 2024: IMF programs, sovereign debt rescheduling 2023: Distress risk anomalies, REIT expansion strategies 2020-2022: Cryptocurrency portfolios, Asian real estate funds He teaches RM02 - Further topics in quantitative methods and maintains affiliations with the Cambridge Real Estate Research Centre .