جست‌وجوی استاد و پژوهشگر

Nick Naumovمشاهده پروفایل

مدرس ارشد

• Heritage Tourism
• Tourism Geography
• Hospitality Management
• +۴ مورد دیگر

Dr Nick Naumov is a Senior Lecturer in Hospitality & Tourism Management at the University of Northampton, affiliated with the Events, Tourism & Hospitality department within the Centre for Sustainable Business Practices. His research focuses on critical heritage studies, tourism geography, and niche tourism forms, with particular expertise in post-socialist Eastern Europe, cultural heritage interpretation, and hospitality management innovations. He holds a PhD in Human Geography from King's College London, an MSc in International Tourism from the University of Bedfordshire, and an MBA in Tourism Management from Assen Zlatarov University. Education: PhD (2019), MSc (2011), MBA (2009), BSc (2007) Industry Background: Front Office Operations, F&B Management in Bulgaria/UK/USA Research interests span residents' tourism perceptions, sustainable tourism development, service quality, and qualitative methodologies. His work contributes to UN SDGs related to education and sustainable development. He teaches across undergraduate and postgraduate programs, including BA International Tourism Management and MA International Hotel Management. Recent publications explore cultural tourism dynamics, post-pandemic hospitality trends, and the socio-political dimensions of heritage. He collaborates with the Council of Europe on cultural routes initiatives and oversees academic partnerships in Greece, Singapore, Myanmar, and Sri Lanka.

Samuel Clowes Hunekeمشاهده پروفایل

استادیار

• Modern European History
• History of Sexuality
• Legal History
• +۴ مورد دیگر

Samuel Clowes Huneke is Assistant Professor of History at George Mason University, specializing in modern European history with particular focus on Germany. His research intersects queer theory, legal history, and Cold War studies, examining how state structures interact with marginalized communities. PhD from Stanford University (2019) MSc in Applicable Mathematics (LSE, 2012) BA in German and Mathematics (Amherst College, 2011) Major publications include States of Liberation (2022), analyzing gay experiences in Cold War Germany, and A Queer Theory of the State (2023), exploring queer theory's engagement with state structures. His co-edited volume Reimagining Citizenship (2025) addresses postwar European identity politics. Recent work examines both GDR and Weimar-era queer histories, with a forthcoming monograph I Will Not Abandon You (2026) on Nazi-era queer women. He directs the East German Poster Database project and contributes to public discourse through media outlets like CNN, Washington Post, and Boston Review. David Barclay Book Prize (2023) Charles E. Smith Award (2022) Waterloo Centre Finalist Active in digital humanities initiatives and Cold War oral history projects, Huneke bridges mathematical precision with historical analysis. His teaching includes courses on Nazi Germany, Cold War Europe, and global sexuality history.

Michael Charltonمشاهده پروفایل

مدرس ارشد

• Systems Thinking
• Problem Structuring Methods (PSMs)
• Project Management
• +۷ مورد دیگر

Michael Charlton is a Senior Lecturer at the Sheffield Business School, University of Sheffield Hallam, specializing in Business Operations and Systems. He transitioned from a 15-year industry career in the clothing and public sectors into academia in 2011. His roles included senior commercial manager (managing ERP/CRM systems) and public-sector project consultant (housing regeneration projects). He teaches operations management, systems thinking, project management, and business ethics. Education: BA (Hons) in Management Systems, University of Hull (1989) MBA, University of Nottingham (2007) PhD Candidate in Systems Thinking for the Uninitiated, Sheffield Hallam University (2014–present) Postgraduate Certificates: Research Methods (2016) and Education (2012) His research focuses on systems thinking and problem structuring methods (PSMs) , aiming to bridge theory and practice for accessible project success. Key areas include stakeholder involvement in governance, adoption of systemic approaches, and bureaucratic dynamics. He has contributed to reports like the Project Management Institute’s ‘Measures for Benefits Realization’ and authored works on self-referential systems theory since the 1990s. Michael is affiliated with the Business Systems Laboratory and previously served as Secretary of the Yorkshire & Humberside Operational Research Group (YHORG, 2014–2015). His consultancy work and CPD training further highlight his industry-academia synergy.

Yizao Wangمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Extreme Value Theory
• +۴ مورد دیگر

Yizao Wang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. from the University of Michigan (2012) and specializes in Probability Theory, Stochastic Processes, and their applications, with a focus on extreme value theory, long-range dependence, and random fields. His research includes studies on asymmetric exclusion processes, fractional Brownian motion, and self-similar processes. Education : Ph.D. in Mathematics, University of Michigan, 2012. Research Interests : Probability theory, stochastic processes, extreme value theory, long-range dependence, random fields, limit theorems, and applications in finance and statistics. His work frequently explores the interplay between combinatorial structures and stochastic models, such as random partitions and operator-scaling processes. Grants : He has led and co-led multiple grants, including: DoD Army Research Laboratory: Advances in Extreme Value Theory with Long-Range Dependence ($84,229, 2020–2023) National Security Agency: From Random Partitions to Self-Similar Processes ($40,000, 2016–2018) National Science Foundation: Cincinnati Symposium on Probability Theory and Applications ($20,000, 2018–2019) Students and Advising : Mentored numerous graduate and undergraduate students in capstone projects and independent studies, focusing on topics like random walks, branching processes, and stochastic differential equations. Notable advisees include Connor McClellan, Yiyang Yu, and Weiqing Yu (recipient of the Charles Phelps Taft Senior Thesis Fellowship). Labs/Teams : Active in collaborative research groups within the department, contributing to interdisciplinary projects in stochastic modeling and mathematical finance. Teaches advanced courses in probability, stochastic processes, and financial mathematics.

Kevin Kammمشاهده پروفایل

دانشیار

• Financial Mathematics
• Stochastic Analysis
• Stochastic Partial Differential Equations (SPDEs)
• +۸ مورد دیگر

Kevin Kamm is an Associate Professor at the Department of Mathematics and Mathematical Statistics, Umeå University. His research spans stochastic analysis , financial mathematics , commodities , and machine learning , with a focus on optimal strategies and SPDEs. He has developed innovative approaches using Deep Learning and stochastic Magnus expansion for financial models. Education : Mathematics studies at Technische Universität Berlin; Ph.D. in financial mathematics at the University of Bologna under the ABC-EU-XVA project. Research : Specializes in negative interest rate frameworks, rating triggers for XVA adjustments, and HPC applications in SPDEs. Collaborates on aquaculture valuation models incorporating biological and feeding cost risks. Publications : 15+ recent works cover CIR model extensions, XVA calibration, SPDE numerical methods, and machine learning applications in financial mathematics and commodities. Teaching : Instructs courses in Financial Mathematics and Stochastic Differential Equations , supervising Master's theses in areas like stress testing and mortgage-backed securities. Affiliations : Member of Umeå University's Mathematical Finance and Economics and Mathematical Modeling and Analysis research groups.

Hemanshu Kaulمشاهده پروفایل

دانشیار

• Discrete Mathematics
• Operations Research
• Graph Theory
• +۵ مورد دیگر

Hemanshu Kaul is an Associate Professor of Applied Mathematics at Illinois Institute of Technology (IIT), part of the College of Computing. He serves as Co-Director of the M.S. in Computational Decision Science and Operations Research (CDSOR) program. His expertise spans Discrete Mathematics, Operations Research, Graph Theory, and Network Optimization, with applications in transportation, computer science, and engineering. Education: PhD in Mathematics from the University of Illinois at Urbana-Champaign (UIUC), MS in Mathematics from the Indian Institute of Technology Bombay. He has held roles including Distinguished Teaching Fellow (2016–2018) and AMS Project NExT Fellow (2007–2008). Research Interests : Focus on Graph Packing, DP-coloring, List Coloring, and algorithmic solutions for discrete optimization problems. His work bridges theoretical foundations with practical applications such as transportation networks and computer science systems. Publications & Grants : Over 50 publications in combinatorics and optimization, including NSF/NSA-funded projects like the EXCILL III Conference (2016–17). Recent work explores spectral Turán problems, DP-coloring algorithms, and longitudinal network models. Awards : Board of Trustees Award for Excellence in Teaching (2019) Excellence in Teaching Award (2017, College of Science, IIT) Interdisciplinary Research Grant (2009–2010, Transportation Networks) Advising & Leadership : Co-advisor for IIT's SIAM Student Chapter. Led restructuring of the Applied Math M.Sc. program (2018–19). Advised teams in the Mathematical Contest in Modeling (MCM), including a 2019 Meritorious Winner team for a disaster response system design. Labs & Collaborations : Involved in interdisciplinary projects combining applied math with computer science and engineering, including work on equitable public transit systems and network optimization.

Qianwen Guoمشاهده پروفایل

استادیار

• Public transit
• Transportation resilience
• Shared mobility
• +۴ مورد دیگر

Dr. Qianwen (Vivian) Guo is an Assistant Professor in the Department of Civil and Environmental Engineering at the FAMU-FSU College of Engineering. Her research focuses on optimizing transportation systems, particularly in public transit, shared mobility, and infrastructure resilience. She holds a joint Ph.D. in Civil Engineering from Cornell University and Management Science and Engineering from Huazhong University of Science and Technology. Dr. Guo's work spans interdisciplinary areas including quantum computing applications in transportation, disaster evacuation planning using autonomous vehicles, and equity-aware transit policies. She has received funding from NSF, FDOT, and USDOT, and leads the FAMU-FSU ITE student chapter. Her research has been recognized by the Society of Asian Scientists & Engineers in 2021. Education: Ph.D., Joint Program: Civil Engineering (Cornell University) Ph.D., Management Science and Engineering (Huazhong University) M.S., Transportation Engineering (Huazhong University) B.S., Transportation Engineering (Southwest Jiaotong University) Her recent publications emphasize quantum-driven frameworks for transportation resilience, machine learning for safety analysis, and real-time transit optimization strategies. Dr. Guo collaborates actively on projects addressing demand uncertainty, sustainable policies, and equitable infrastructure investments.

Maha Shaikhمشاهده پروفایل

دانشیار

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +۳ مورد دیگر

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

Jovica Milanovicمشاهده پروفایل

استاد

• Power System Dynamics
• Power Quality
• Probabilistic Modeling
• +۴ مورد دیگر

Jovica Milanovic is a Professor in the School of Electrical and Electronic Engineering at the University of Manchester, where he leads the Electrical Energy and Power Systems research group. He holds a Dipl.Ing. and MSc in Electrical Engineering from the University of Belgrade, a PhD from the University of Newcastle, and a DSc from the University of Manchester. With over 600 publications, his research focuses on probabilistic modeling of power systems, renewable integration, and power quality. Research Expertise: Probabilistic assessment of uncertain power systems Machine learning applications for grid stability Demand side management in low-carbon networks Global power quality monitoring frameworks Awards & Leadership: FIEEE, FIET, and IEEE PES Distinguished Lecturer Editor-in-Chief of IEEE Transactions on Power Systems Chair of multiple international conferences including PowerTech 2017 Recipient of the Verriest Medal for contributions to power systems

Chao-Ming Jianمشاهده پروفایل

استادیار

• Theoretical Condensed-Matter Physics
• Quantum Many-Body Systems
• Topological Phases of Matter
• +۴ مورد دیگر

Chao-Ming Jian is an Assistant Professor in the Department of Physics at Cornell University's College of Arts and Sciences, specializing in theoretical condensed-matter physics. His research focuses on emergent phenomena in quantum many-body systems, with particular emphasis on topological phases, quantum criticality, and entanglement dynamics. Research Interests: Jian's theoretical work explores exotic phases in quantum magnets (particularly spin liquids with fractionalized excitations), strongly-interacting quantum critical points, non-Fermi liquids, and entanglement dynamics in quantum systems. His group develops non-perturbative approaches including dualities, quantum anomalies, and dynamical mean-field theories to characterize novel collective behaviors in correlated electron systems, fractional quantum Hall systems, and quantum magnets. Research Trends: His recent publications (2023-2025) demonstrate growing focus on monitored quantum dynamics, measurement-induced criticality, topological domain wall modes, and exotic phase transitions in weakly-decohered systems. Jian frequently employs dualities and quantum anomalies to uncover universal properties of strongly-interacting systems, with increasing connections to quantum information science and error correction. Awards: Sloan Research Fellowship (2024) Moore Foundation Fellow at Kavli Institute for Theoretical Physics (2016-2017, 2018-2019) Graduate Fellow at Kavli Institute for Theoretical Physics (2015) Advising & Grants: Jian currently advises graduate students Zhou Yang and Asad Bhuiyan. His research is supported by grants enabling experimental collaborations (including IBM quantum processor experiments) and theoretical work on topological phases. He actively participates in outreach through REACT and EYH workshops, developing educational modules on moiré patterns for K-12 students. Labs & Teams: Jian leads a theoretical research group at Cornell collaborating with experimentalists (notably the Mak-Shan group on frustrated magnetism in Wigner-Mott insulators). His team frequently partners with quantum computing researchers and condensed matter theorists across institutions, particularly on projects involving quantum error correction and topological phases.

Kayla Kingمشاهده پروفایل

استاد

• Host-Pathogen Interactions
• Climate Change Biology
• Evolutionary Ecology
• +۳ مورد دیگر

Kayla King is a Professor in the Departments of Zoology and Microbiology & Immunology at the University of British Columbia (UBC) and holds a Professorial Fellowship at the University of Oxford. Her research focuses on the contemporary ecology and evolution of host-pathogen/parasite interactions, integrating experimental evolution, comparative genomics, and field studies. Key research interests include climate change impacts on pathogen virulence, biodiversity loss effects on disease dynamics, and the evolutionary consequences of host jumps. She investigates microbial diversity, symbiosis, and the interplay between environmental stressors and host immunity. Education Affiliations: University of British Columbia (UBC) University of Oxford (as Professorial Fellow) Research Interests: Dr. King’s work spans microbial ecology, evolutionary theory, and environmental change. She explores how warming temperatures and habitat fragmentation influence pathogen transmission and host resistance. Her team uses experimental systems to study virulence evolution, microbiome functions, and the ecological basis of disease emergence. Recent projects examine symbiotic relationships, stress responses in hosts, and the role of biodiversity in disease regulation. Lab & Collaborations: The King Lab operates across UBC and Oxford, focusing on interdisciplinary approaches to infectious disease dynamics. They collaborate on topics like protective microbiota, pathogen surveillance in wild animals, and applying evolutionary principles to disease control strategies. Awards: No specific awards listed in provided materials. Advising & Grants: While specific student names aren’t listed, the lab focuses on training researchers in experimental evolution and disease ecology. Funding sources include UBC’s Biodiversity Research Centre and academic excellence initiatives. Labs/Teams: King Lab (UBC Zoology & Microbiology & Immunology), part of the Biodiversity Research Centre’s collaborative network.

Louise Flemingمشاهده پروفایل

استاد

• Congenital Adrenal Hyperplasia
• Nursing Education
• Pediatric Chronic Conditions
• +۲ مورد دیگر

Louise Fleming serves as Professor of Nursing and Associate Dean for Academic Operations at the University of Virginia School of Nursing. Her scholarship focuses on congenital adrenal hyperplasia (CAH) and nursing education, developing clinical systems and training protocols for families and children with CAH. She contributes to national policy as a member of the APA's Task Force on Differences in Sex Development. Her research examines family adaptation in pediatric chronic conditions and workforce retention in underserved communities. Recent publications analyze care frameworks for Down syndrome families across 12 countries and healthcare responsibility delegation for youth with chronic illnesses. Honors: UNC Nursing Faculty of the Year Great 100 Nurses of North Carolina (pandemic service) AACN Leadership Fellow American Academy of Nursing Fellow (2023)

Michael Salerمشاهده پروفایل

استاد

• Modern European Intellectual History
• Cultural History
• History of Science and Technology
• +۵ مورد دیگر

Michael Saler is a Professor of History at the University of California, Davis, specializing in modern European intellectual and cultural history with a focus on intersections between science, technology, literature, and secularism. His work explores how 'wonder' and 'belief' operate in secularizing societies. He holds a Ph.D. from Stanford University and a B.A. from Brandeis University. His research publications include influential works like As If: Modern Enchantment and the Literary Prehistory of Virtual Reality (2012) and The Fin-de-Siècle World (2014), both recognized with prestigious awards. His teaching portfolio includes courses on modern European intellectual history, historiography, and interdisciplinary topics like 'Science Fiction and Modernity' in the Honors Program. Education: Ph.D., History and Humanities, Stanford University, 1992 B.A., History & European Cultural Studies, Brandeis University, 1985 Research interests span modernism, enchantment theory, and the cultural history of science. His writing appears in venues like The Washington Post and Times Literary Supplement . He has received multiple teaching awards including the Academic Senate Distinguished Teaching Award (1999). Awards: Choice Outstanding Academic Title (2015) Huffington Post 'Best Book' (2012) Stanford Humanities Center Fellowship (2001) His advising and grants history, while not detailed here, reflects sustained engagement with graduate mentorship in modern European studies. His work frequently bridges humanities disciplines, emphasizing narrative as a lens for understanding modernity's complexities.

Xavier Irzمشاهده پروفایل

استاد

• Economics
• Agricultural Economics
• Environmental Economics
• +۴ مورد دیگر

Xavier Irz is a Professor at the University of Helsinki's Faculty of Agriculture and Forestry, Department of Economics and Management. His research focuses on sustainable diets, environmental economics, and policy analysis, particularly addressing climate impacts of food systems. He has led projects such as the EU-funded 'Water & Food Futures' and 'Blue Food Sustainability.' Key areas include optimizing diets for reduced carbon footprints, evaluating carbon taxes on food, and analyzing socio-demographic equity in dietary transitions. Education: PhD in Agricultural Economics (not explicitly stated but implied by academic rank) Research interests span food policy, agricultural innovation, and the intersection of health and environmental sustainability. He collaborates internationally on projects like the European carbon tax simulations and forest genetics economics. Advises doctoral students in the Sustainable Use of Renewable Resources program. Active in policy-oriented research, publishing in journals like European Journal of Nutrition and Public Health Nutrition .

• Computational Social Science
• Political Violence
• Radicalization
• +۳ مورد دیگر

David Muchlinski is an Assistant Professor at the Sam Nunn School of International Affairs within the Ivan Allen College of Liberal Arts at the Georgia Institute of Technology. He specializes in computational social science with a focus on political violence, utilizing machine learning and natural language processing techniques to study radicalization processes and conflict forecasting. His research interests include: Predictive modeling of civil wars and mass atrocities Social media analysis for radicalization detection Machine learning applications in conflict studies Natural language processing of extremist communications Cross-national patterns of political violence Muchlinski's publications demonstrate a consistent focus on developing computational methods for conflict analysis, with recent work exploring deep learning approaches to electoral violence measurement and transitional justice mechanisms. His research bridges political science, data science, and artificial intelligence, emphasizing practical policy applications. He is actively recruiting computer science students for research projects in computing for social good, particularly those with expertise in machine learning, data visualization, and network analysis.