جست‌وجوی استاد و پژوهشگر

Joanna Koczarمشاهده پروفایل

استادیار

• Accounting
• Financial Analysis
• ESG Factors in Business Valuation
• +۶ مورد دیگر

Dr. Joanna Koczar is an Assistant Professor and Head of the Distance Learning Development Office at the Department of Accounting, Reporting and Financial Analysis, Wrocław University of Economics. She specializes in accounting practices, financial analysis, sustainable development, and educational technology integration in accounting education. Her research spans ESG factors in business valuation, project finance, regional economic systems, and cross-country comparisons of fiscal policies. She collaborates internationally, evidenced by her ResearchGate and ORCID profiles. Her academic work addresses topics such as financial stability assessment via cluster analysis, anti-avoidance tax rules in Russia, and digital transformation of financial markets (e.g., P2P lending in Belarus). She also focuses on innovative teaching methods in accounting education and the impact of urbanization on socio-economic development. Her recent articles emphasize sustainability, green finance, and infrastructure investments. Education: Not explicitly listed in the provided text. Languages: English, Polish, Russian Consultations: Online via Microsoft Teams every Thursday 8:00–9:30 during the 2024/2025 winter semester. Affiliations: Faculty of Management, Wrocław University of Economics. Labs/Teams: Leading the Distance Learning Development Office, fostering educational innovation. Ms. Koczar’s publications span over two decades, with a focus on Russian and Eastern European economic policies, financial systems, and educational methodologies. Her work bridges theoretical frameworks with practical implementation in regional development, fiscal compliance, and sustainable financing strategies.

Izabela Michalska-Dudekمشاهده پروفایل

استاد

• Customer Loyalty
• Customer Relationship Management
• Consumer Behavior
• +۳ مورد دیگر

Dr. Izabela Michalska-Dudek is a Professor and Head of the Department of Marketing and Tourism Management at Wrocław University of Economics’ Jelenia Góra Branch. She specializes in customer loyalty mechanisms, consumer behavior in tourism, and digital transformation impacts on travel agencies. Her work emphasizes empirical studies on CRM systems, post-pandemic travel decision-making, and predictive modeling for loyalty programs. Research Interests: Customer Relationship Management (CRM), Virtualization in Tourism, Pandemic Impact Analysis, Retail Tourism (ROPO), and Machine Learning applications in loyalty analytics. She actively publishes in peer-reviewed journals and organizes international conferences like the 'Current Trends in Spa, Hotel and Tourism' series. Publications focus on analyzing socio-economic factors influencing travel behavior, crisis management strategies, and technological adoption in the tourism sector. Recent work explores how machine learning can uncover consumer loyalty motives and quantify pandemic-related behavioral shifts. No scientific awards listed. She supervises doctoral students and is open to socio-economic collaborations. Consultations available via MS Teams on Fridays.

Radosław Pietrzykمشاهده پروفایل

استاد

• Financial Risk Management
• Cryptocurrency Markets
• Econometrics
• +۳ مورد دیگر

Dr hab. Radosław Pietrzyk, prof. UEW, is a Professor at the Department of Financial Investments and Risk Management within the University of Economics in Wrocław. His research focuses on financial risk management, household financial planning, cryptocurrency markets, and econometric modeling. He specializes in developing integrated risk models for households, evaluating Value at Risk (VaR) forecasts, and analyzing market dynamics during crises such as the subprime mortgage collapse, the global pandemic, and geopolitical conflicts like the Russo-Ukrainian war. His work often intersects with practical applications, including stress testing financial instruments, optimizing investment portfolios, and assessing mutual fund performance in Polish and global markets. Pietrzyk’s methods emphasize statistical rigor, with contributions to Divisia Index applications for stock exchange analysis and multi-objective optimization frameworks for household financial goals. Recent articles highlight his exploration of green bonds’ governance effectiveness and cryptocurrency exchange rate volatility. His research frequently addresses longevity risk, risk aversion in retirement planning, and the integration of environmental factors into financial decision-making. Pietrzyk maintains active academic engagement, offering consultations via email (radoslaw.pietrzyk@ue.wroc.pl) and through Microsoft Teams. His consultancy hours are Monday 8:00-9:30 AM. He collaborates with external institutions and contributes to the academic community through platforms like ResearchGate and ORCID.

• Operations Management
• Sustainable Supply Chains
• Closed-Loop Supply Chains
• +۶ مورد دیگر

Joao Quariguasi Frota Net is a Professor in Operations Management at the University of Manchester, specializing in sustainable and closed-loop supply chains. He holds a chaired professorship and has extensive experience in teaching across undergraduate, MBA, and executive education programs in multiple countries, including Brazil, the Netherlands, and the UK. His research focuses on operational efficiency in supply chains, particularly in sustainability, circular economy, and remanufacturing. He has published over 30 articles in top journals such as Production and Operations Management and the European Journal of Operational Research. Research Interests: Over the past decade, his work has emphasized sustainable supply chains, closed-loop systems, and socially responsible logistics. Recent projects include applications of circular economy principles in pharmaceutical supply chains and the impact of green bonds on corporate strategy. His interdisciplinary approach integrates operations research, environmental economics, and big data analytics. Collaborations: He has collaborated internationally, notably as a liaison between the University of Manchester’s School of Mechanical, Aerospace and Civil Engineering and Brazilian universities. He previously coordinated student exchanges at the Bath School of Management and served as academic director for the Master’s program in Supply Chain and Project Management. Research Output: 31 peer-reviewed articles (2025–2008) Supervised Work: 1 doctoral student (details not specified) Awards: No specific honors listed Advocacy and Grants: He mentors PhD candidates (with available scholarships) and emphasizes econometrics proficiency. His work contributes to UN Sustainable Development Goals related to responsible consumption and climate action.

Jari Jussilaمشاهده پروفایل

پژوهشگر

• Circular Economy
• Design-Based Learning
• Agile Methodologies
• +۵ مورد دیگر

Jari Jussila is a Researcher and University Lecturer at the HAMK Design Factory, part of Häme University of Applied Sciences (HAMK). He serves as Director of the HAMK Design Factory, Principal Research Scientist, and Research Innovation Ambassador for RUN-EU University. His work focuses on design-based learning, circular economy, agile methodologies, and innovation management, with projects like Agile Mindset, BASE, KOTILO, and OPTIMA. He actively collaborates with industry partners and leads initiatives in data analytics, education reform, and sustainable practices. Jussila’s research spans organizational learning, digitalization, and social media analysis, addressing challenges in SMEs and public sectors. His office is located at Visakaarre 4, Hämeenlinna, and he is often found at Matrix, a collaborative workspace. Key research interests include leveraging design thinking and agile frameworks to enhance innovation capabilities, fostering transversal skills in students through university-industry projects, and advancing circular economy practices through participatory design and data-driven logistics. He explores the intersection of technology adoption, learning culture, and organizational agility in cross-country contexts. His articles highlight trends in data analytics for circular economy logistics optimization, challenges in agile leadership across technological and non-technological sectors, and the role of social media in knowledge sharing and brand management. Jussila has contributed to frameworks for open data ecosystems, smart mobility systems, and educational hackathons. His work emphasizes practical solutions for SMEs, including tools for mistake culture in agile environments and semantic analysis of social media for policy insights. He has advised on projects involving smart cities, e-government services, and sensor technologies for employee experience improvement. Jussila’s interdisciplinary approach bridges academia and industry through platforms like the Design Factory, which integrates innovation spaces and pedagogical models for Education 4.0. His recent focus includes hybrid machine learning models for cryptocurrency forecasting and cognitive computing approaches for human activity recognition.

• Macroeconomics
• Monetary Policy
• Macro-Finance
• +۳ مورد دیگر

Ferre De Graeve is an Associate Professor at KU Leuven's Faculty of Economics and Business, where he holds significant administrative roles including Head of the Education Commission for Economic Sciences and Program Director for the Master of Advanced Studies in Economics. He maintains active memberships in key faculty councils and program committees. His research focuses on structural relationships in macroeconomics with emphasis on: Monetary policy transmission mechanisms and central bank strategies Macro-financial linkages and non-linear dynamics in financial markets Sectoral shock identification and spillover effects across industries Econometric modeling of business cycles and inflation dynamics Government debt composition and fiscal-monetary policy interactions De Graeve's recent publications demonstrate a strong methodological focus on Vector Autoregression (VAR) techniques applied to macroeconomic problems, with particular attention to financial stability, interest rate dynamics, and sectoral interdependencies. His work consistently bridges theoretical models with empirical analysis using advanced time-series approaches. He has supervised multiple PhD students in macroeconomics research, including dissertations on monetary policy, structural macroeconometrics, and macro-financial interactions. His teaching portfolio includes graduate courses in Advanced Macroeconomics, Economics of Money and Finance, and Mathematical Analysis for Macroeconomic Problems.

Rocio Álvarez Arandaمشاهده پروفایل

استادیار

• Time Series Analysis
• Econometric Modeling
• Forecasting
• +۳ مورد دیگر

Dr. Rocio Álvarez Aranda is an Assistant Professor in the Department of Applied Economics at the University of the Balearic Islands' College of Economics and Business. With a PhD in Economics (University of Alicante, 2012) and a BSc in Mathematics (University of Malaga, 2004), she has extensive teaching experience across multiple institutions including Universidad Autónoma de Barcelona, Universidad de Santiago de Chile, and Universidad Adolfo Ibáñez. PhD in Economics, University of Alicante (2012) BSc in Mathematics, University of Malaga (2004) Her research focuses on econometric analysis of time series, unobservable factor modeling, and forecasting methodologies. She has published in top-tier journals like International Journal of Forecasting , Journal of Business & Economic Statistics , and Economics and Human Biology , with methodological work on Markov-switching models and empirical studies examining seismic activity impacts on fetal development. Recent publications reveal trends in dynamic factor models, Markov-switching autoregressive frameworks, and interdisciplinary applications of econometrics to public health and macroeconomic forecasting. She contributes to the Econometría y Ciencia de Datos (ECD) research group while maintaining expertise in MATLAB, Stata, Eviews, and LaTeX. Fondecyt Iniciación Fellowship (2018-2021) CIP16013 Research Fellowship (2016-2018) FPI Scholarship (2008-2012) Doctoral Fellowship (2006-2008) She supervises final degree projects across economics, tourism, and business programs while teaching courses like Introduction to Econometrics and Massive Data Econometrics. Her academic collaborations span institutions in Spain, Chile, and the UK.

• Maritime Engineering
• Naval Architecture
• Sustainable Shipping
• +۷ مورد دیگر

Osman Turan is a Professor in the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, Faculty of Engineering, United Kingdom. His research and professional activities are deeply rooted in maritime sustainability, safety, and technological innovation, contributing to global efforts in sustainable development and environmental protection. His research interests span a broad spectrum of maritime engineering topics including maritime decarbonisation , ship safety systems , cyber resilience in navigation , human factors in maritime operations , and sustainable shipping practices . He applies advanced methodologies such as machine learning, computational fluid dynamics, and evidential reasoning to solve complex challenges in the maritime domain. His work significantly contributes to UN Sustainable Development Goals related to climate action, sustainable cities, and responsible consumption. The recent publications highlight a strong trend toward integrating digital technologies and sustainability frameworks in maritime engineering. His research focuses on leveraging AI and data-driven models for recruitment, fuel efficiency, and cybersecurity, while also advancing circular economy principles and zero-emission vessel design. These efforts reflect a multidisciplinary approach combining engineering, environmental science, and policy impact. Notable scientific awards include: Honorable Mention for the 2022 Vice Admiral E. L. Cochrane Award RINA-LR Maritime Safety Award 2017 Best Industrial/Application Paper Award at TRA 2014 TRA VISIONS European Senior Researcher Award in Waterborne Sector Prof. Turan is actively involved in research grants and collaborative projects, serving as Principal Investigator or Co-investigator on initiatives such as the Oldendorff Sustainable Shipping Research Centre and the Empowering Early Career Researchers for Maritime Decarbonisation in Indonesia . He also contributes to professional service through editorial roles, conference organization (e.g., International Maritime Human Factors Symposium), and guest editorship for journals like Ocean Engineering . His work has led to impactful guidelines improving marine structural safety and international maritime standards. He is associated with key research groups and projects advancing zero-emission vessels, hydrogen-powered ships, and retrofitted eco-coasters, demonstrating leadership in both academic and applied maritime innovation contexts.

Danling Jiangمشاهده پروفایل

استاد

• Behavioral Finance
• Social Finance
• Blockchain Technology
• +۸ مورد دیگر

Dr. Danling Jiang is a Professor of Finance and Associate Dean for Programs at the College of Business, Stony Brook University. She co-directs the Center of Entrepreneurial Finance and the Blockchain Business Lab, integrating psychology and social sciences into financial research. Ph.D. in Finance and M.A. in Economics, The Ohio State University Her research spans Behavioral Finance , Blockchain Technology , and Asset Pricing , focusing on managerial and household decision-making. Recent work explores Chinese financial markets , crypto investments , and seasonal market anomalies . She mentors students in blockchain and entrepreneurial finance initiatives. Dr. Jiang founded the Friends of Women in Finance in Greater New York Network (FWFS-GNY) and contributes to student life via the ASA Board and AAEA as CFO. She leads Stony FinLab, promoting financial literacy through free resources.

Tu Junمشاهده پروفایل

دانشیار

• Behavioural Finance
• Empirical Asset Pricing
• FinTech
• +۶ مورد دیگر

Tu Jun is a tenured Associate Professor of Finance at the Lee Kong Chian School of Business , Singapore Management University (SMU), where he has been employed since 2004. He earned his PhD in Finance (2004) and MSBA in Finance (2001) from Washington University’s Olin School of Business and a BSc and MSc in Mathematics from Wuhan University (1994, 1997). Research interests include Behavioural Finance , Empirical Asset Pricing , FinTech , Corporate Finance , Media and Asset Markets , Big Data and Machine Learning , and Textual Analysis . His work combines quantitative methods with behavioral insights , focusing on predictive modeling in equity and cryptocurrency markets. He has developed novel approaches to sentiment analysis , diversification strategies , and media-induced market comovements . Awarded the ASX Prize (2015), TCFA Best Paper Award (2010), Pacific Basin Finance Journal First Prize (2006), and multiple fellowships including Sing Lun Fellowship (2011-2012).

Rachel E. Durhamمشاهده پروفایل

دانشیار

• Postsecondary Education Transition
• Community Schools
• Immigration and Education
• +۴ مورد دیگر

Rachel E. Durham is an Associate Professor in the School of Education at Notre Dame of Maryland University and Senior Research Fellow at the Baltimore Education Research Consortium (BERC). Her work bridges sociology, demography, and education through research-practice partnerships. Ph.D. in Sociology and Demography, Pennsylvania State University M.A. in Sociology, Arizona State University B.A. in Sociology, University of Mississippi Dr. Durham specializes in postsecondary transitions, community schools, immigration-related educational equity, and mixed-methods research. Her recent work focuses on STEM career encouragement for minoritized students, CTE policy analysis, and language acquisition challenges. Her publications span 2007-2024 , showing consistent engagement with: Urban education systems Longitudinal student outcomes Green school initiatives Educational equity metrics Immigrant student experiences Teacher development Scientific recognition includes: Senior Research Fellow, BERC Co-PI on IES-funded project studying career development impacts Past leadership roles in American Educational Research Association (AERA) She teaches advanced methodologies including: Quantitative statistics Mixed methods design Educational policy analysis

Junpei Komiyamaمشاهده پروفایل

استادیار

• Machine Learning Methodology
• Decision-making Models
• Algorithmic Bias
• +۷ مورد دیگر

Junpei Komiyama is an Assistant Professor in the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since September 2019. His research bridges machine learning methodology and business applications, focusing on decision-making, fairness, and reproducibility in data-driven systems. His educational background includes a PhD in Information Science, an MS in Applied Physics, and a BTech, all from the University of Tokyo. Professor Komiyama's research interests center on machine learning with a strong emphasis on ethical and robust methodologies. He investigates decision-making models such as multi-armed bandits, algorithmic fairness , experimental design , and the reproducibility of data science findings. His work aims to redefine how we validate and trust results generated by machine learning systems. The recent articles reflect a strong trend in fairness-aware machine learning , online decision-making , and reproducible research practices . They span applications in business analytics, recommender systems, pricing, and cloud computing, demonstrating both theoretical depth and practical relevance. Presented work at top venues including NeurIPS and KDD Focus on ethical AI and robust scientific methodology He has advised students in machine learning and data science, though specific names are not listed. His research has been supported through academic grants related to AI ethics and data science innovation, though specific grant details are not provided. Professor Komiyama teaches courses in programming and machine learning, contributing to the technological education of business students at Stern. He is actively involved in advancing the integration of rigorous machine learning methods into business decision-making frameworks.

Stephanía Mosqueraمشاهده پروفایل

پژوهشگر

• Energy Markets
• Electricity Price Modeling
• Natural Gas Pricing
• +۷ مورد دیگر

Stephanía Mosquera is a researcher at Orkestra – Basque Institute of Competitiveness, affiliated with the Energy and Environment Lab since November 2022. She holds a PhD in Engineering (Industrial Engineering) and a Master’s in Applied Economics from Universidad del Valle, Colombia. Her work bridges economics and engineering in the domain of energy markets. PhD in Engineering (Industrial Engineering), Universidad del Valle, Colombia Master’s in Applied Economics, Universidad del Valle, Colombia Bachelor’s in Economics, Universidad del Valle, Colombia Her research centers on energy market dynamics , particularly electricity and natural gas price modeling , market risk measurement and hedging , and the impact of climate and weather variables on energy pricing. She employs advanced econometric and statistical methods to analyze market integration, price volatility, and cross-commodity linkages. The recent publications of Stephanía Mosquera span high-impact journals such as Energy Economics , Applied Energy , and Energy Policy . Collectively, her work reveals a strong focus on weather-related risk in energy markets , price interdependencies between electricity and natural gas , and the economic implications of renewable energy integration . Her research increasingly emphasizes climate change impacts and market resilience during distress periods. She has received notable recognition, including: EEX Group Excellence Award (2019) for her paper on electricity price dynamics in spot and futures markets Stephanía has advised no formal students listed, but she actively collaborates with researchers across institutions such as the University of Barcelona, Open University of Catalonia (UOC), EAFIT University, and Universidad del Valle. She has contributed to research transfer initiatives, bridging academic findings with industry applications. While no specific grants are mentioned, her publication record in top-tier journals indicates strong research productivity and likely grant support. She is embedded in a dynamic research lab focused on sustainable territorial competitiveness. She is part of the Energy and Environment Lab at Orkestra, a transformative research laboratory dedicated to sustainable regional development. Her work contributes to broader efforts in understanding energy system resilience, market design, and climate adaptation strategies in energy economics.

Gongbo Chenمشاهده پروفایل

پژوهشگر ارشد

• Planetary Health
• Environmental Epidemiology
• Air Quality
• +۷ مورد دیگر

Gongbo Chen is a Senior Research Fellow in Planetary Health at Monash University’s School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences. He is actively engaged in cutting-edge research on air quality, climate change, and their health impacts, leveraging satellite remote sensing and machine learning. He rejoined Monash University in 2023 after a research tenure at Sun Yat-sen University in China, where he expanded global collaborations. PhD in Planetary Health, Monash University (2015–2018) Master of Public Health, Cancer Epidemiology, Chinese Academy of Medical Sciences & Peking Union Medical College (2015) Bachelor in Health Care Management, Beijing University of Chinese Medicine (2012) Dr. Chen’s research focuses on environmental epidemiology , particularly the health effects of air pollution (PM2.5, PM1, ozone) , bushfire smoke , and climate-related exposures . He develops advanced models using satellite data and AI to predict air quality and assess health burdens. His work contributes significantly to planetary health and UN Sustainable Development Goals. The recent publications highlight a strong trend in multi-country epidemiological studies , exposure-response modeling , and global burden assessments . His research frequently appears in top journals such as The Lancet Planetary Health , International Journal of Epidemiology , and Journal of Hazardous Materials , focusing on mortality, chronic disease, and child health impacts of air pollution. ARC Discovery Early Career Researcher Award (DECRA) NHMRC Centre for Safe Air Postdoctoral Research Fellowship Monash Early Career Postdoctoral Fellowship Academic Star Award, China Scholarship Council Dean's Award for Excellence in Research - Team Award (2024) Dr. Chen mentors PhD students and leads major research projects, including the Global mortality burden of industry-related air pollution and the health and economic cost of bushfire smoke in Australia . He has secured six grants as Chief Investigator (CIA) totaling nearly $1 million. His work is supported by extensive collaborations across Australia, China, the US, UK, and Brazil. He leads the development of advanced air quality prediction models within the Climate, Air Quality Research Unit at Monash.

Natalie Theeuwesمشاهده پروفایل

پژوهشگر ارشد

• Urban meteorology
• Urban heat island effects
• Boundary layer meteorology
• +۳ مورد دیگر

Dr. Natalie Theeuwes is a Visiting Research Fellow in the Department of Meteorology at the University of Reading's Faculty of Science. Her research focuses on urban meteorology, particularly examining the complex interactions between urban environments and atmospheric processes. She actively contributes to advancing our understanding of urban climate systems through high-resolution modeling and observational studies. Her primary research interests include urban heat island effects, boundary layer meteorology in urban environments, urban climate modeling, and the interactions between urban structures and atmospheric processes. Dr. Theeuwes has made significant contributions to understanding how urban morphology influences local climate patterns, particularly regarding temperature distribution, cloud formation, and boundary layer dynamics in cities. Dr. Theeuwes' publication record demonstrates a consistent focus on urban meteorological phenomena, with recent work examining hectometric-scale weather modeling, nocturnal boundary layer interactions in London, and persistent cloud cover over mega-cities. Her research often involves collaborative international projects and contributes to practical applications in urban planning and climate adaptation strategies. She is actively involved in major urban climate initiatives including WUDAPT (World Urban Database and Access Portal Tools) and UMEP (Urban Multi-scale Environmental Predictor), which provide critical tools for urban climate research and applications.