جستجوی استاد راهنمای دانشگاهی

Andrew Goodkindمشاهده پروفایل

استادیار

• Environmental economics
• Human health impact of air pollution
• Agricultural supply chains and externalities
• +۳ مورد دیگر

Andrew Goodkind is an Assistant Professor of Economics at the University of New Mexico specializing in environmental economics with focus on air pollution health impacts and policy evaluation. Education: Ph.D. in Economics from University of Minnesota, Department of Applied Economics (2014) Postdoc at University of Minnesota studying agricultural supply chains and environmental impacts His research centers on modeling human health consequences of air pollution for policy design, agricultural supply chain externalities, and welfare impacts of environmental regulations. Teaching covers Microeconomics, Environmental Economics, and Resource Economics with emphasis on practical policy applications. Publication analysis (2014-2020) shows consistent focus on quantifying air pollution damages from diverse sources including cryptocurrency mining and agricultural production using spatial modeling and fine-scale damage estimation to inform targeted policy interventions. Scientific Awards: No awards listed in source material. Advising and Grants: Source material contains no student or grant information. Labs and Teams: Affiliated with Nepal Study Center, Science Impact Laboratory for Policy and Economics (SILPE), CASAA, International Studies Institute, Institute for Social Research, NM Evaluation Lab, Latin American Iberian Institute, Center for Social Policy, Water Resource Program, and Master of Public Policy program demonstrating interdisciplinary environmental economics approach.

• Software Security
• Artificial Intelligence
• Adversarial Machine Learning
• +۷ مورد دیگر

Yang Yuxiang is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science. His research focuses on software security, adversarial machine learning, and AI safety, with a particular emphasis on formal methods and large language models. He holds a PhD from Hong Kong. Research interests include: Automated program repair using LLMs Cybersecurity in open-source ecosystems Adversarial attacks on vision-language models Formal verification of theorem provers Ethical implications of AI systems Recent publications explore cutting-edge topics such as causality-aware safety testing for autonomous systems , smart contract vulnerability detection , and large model safety at scale . His work bridges theoretical foundations with practical applications in secure software development and AI ethics.

Douglas K. Schneiderمشاهده پروفایل

استاد

• Financial Accounting
• Accounting Reporting
• CPA Exam Development
• +۵ مورد دیگر

Douglas K. Schneider is a Professor and holds the Edwin B. Jones Family Endowed Professorship in Accounting at East Carolina University's College of Business. He is a licensed CPA and actively contributes to both academic research and professional accounting standards development. His educational background includes a PhD from the University of Georgia, a Master of Science in Accounting (MSA) from the University of Virginia, and a BS from Bentley University. Dr. Schneider’s research focuses on financial accounting, reporting, taxation, and accounting education. He has published over fifty scholarly articles and presented at more than thirty academic conferences. His work spans international financial reporting standards, CPA exam design, ethical decision-making, digital transformation in accounting, and sustainability reporting. He has made significant contributions to petroleum accounting and tax policy analysis. The recent trends in his publications reflect a strong engagement with evolving accounting standards (GAAP/IFRS), technological disruption (blockchain, AI), and pedagogical innovation. His scholarship bridges theory and practice, often addressing real-world challenges in regulation, ethics, and global finance. Distinguished Professor for Teaching Award by the UNC Board of Governors (2015) College of Business Faculty Fellowship Edwin B. Jones Family Endowed Professorship in Accounting ECU’s Scholar-Teacher Award Recipient Student Activities Academic Advisor of the Year ECU Panhellenic Outstanding Faculty Advisor Award (multiple times) Finalist for the University Alumni Award for Outstanding Teaching Finalist for the Board of Governors Award for Excellence in Teaching Dr. Schneider has advised numerous students through formal recognition such as Hooder and Marshal roles at graduation ceremonies. He frequently writes recommendation letters for students pursuing graduate studies, scholarships, and employment. He has served on key departmental committees including Personnel and Promotion & Tenure. His service extends to professional organizations and Greek life governance, where he acts as Treasurer and Faculty Advisor for Alpha Delta Pi and the East Carolina Greek Alumni Alliance. He is a co-founding advisor of Beta Alpha Psi and the National Association of Black Accountants at ECU, demonstrating a strong commitment to student development and diversity in the accounting profession.

• Time Series Analysis
• Financial Econometrics
• Volatility Modeling
• +۵ مورد دیگر

Professor Shelton Peiris is an Associate Professor at the School of Mathematics and Statistics , University of Sydney , where he has been since 1990. He holds visiting appointments at institutions worldwide, including University of Waterloo , University of Manitoba , and University of Malaya . Currently, he serves as Sub Dean (Student Affairs) in the Faculty of Science and coordinates interdisciplinary teaching with the School of IT for MIT/MDS degrees. His research focuses on time series analysis, financial econometrics, and technology integration in statistics education. Education: PhD in Statistics, Monash University , 1987 Shelton's research interests include statistical analysis of stationary and non-stationary time series, theory and applications of estimating functions, financial time series modeling, saddlepoint and Edgeworth approximations, and exploring technology's role in statistics education. He is a member of the Statistics Research Group at the University of Sydney and leads projects in financial econometrics, generalized autoregressive models, and nonlinear time series analysis. Recent publication trends highlight his work in financial econometrics, particularly volatility and duration modeling, stochastic processes, and hybrid forecasting methods combining traditional statistical techniques with machine learning advancements like GANs and neural networks. His collaborations span Australia, Canada, Malaysia, and Indonesia, with notable grants including ARC Linkage and University of Malaya Research Grants . Scientific Awards: 2012: Faculty of Science Teaching Citation 2011: Bronze Medal, University Putra Malaysia 2007: Bronze Medal, University Putra Malaysia 1983: Monash University Graduate Scholarship Elected Member, International Statistical Institute (ISI) Fellow, Royal Statistical Society (FRSS) Honorary Fellow, Institute of Applied Statistics, Sri Lanka (FIASSL) Current Research Students: Leonard Mushunje - High-Dimensional Financial Functional Time Series Data Grants: ARC Linkage Grant (2005-2007): Modelling Stock Market Liquidity ARC Bridging Grant (2012-2014): Financial Duration Modeling University of Malaya Research Grants (2011-2015): Volatility Models, GARCH MOHE Malaysia Grant (2013-2015): Robust Control Charts Professor Peiris contributes to editorial boards such as the Journal of Statistical Computation & Simulation and Sri Lankan Journal of Applied Statistics . His teaching roles include MATH1015 (Statistics for Life Science) , MATH1905 (Statistics Advanced) , and advanced honors courses in time series analysis.

• Financial Economics
• Time Series Analysis
• Volatility Modeling
• +۴ مورد دیگر

Professor Dave Allen is affiliated with the University of Sydney and actively contributes to research in financial econometrics, volatility modeling, and emerging market risk analysis. His work bridges quantitative finance with advanced machine learning techniques. Current research focuses on high-dimensional financial time series and synthetic data generation via GANs Recent publications explore pandemic-related financial impacts and cross-market volatility spillovers Research interests include: Volatility and risk modeling (GARCH, stochastic volatility) Nonlinear time series analysis (NARDL, cointegration) Machine learning applications in finance Covid-19 financial and health data analysis His recent work shows increasing interdisciplinary scope combining financial economics with public health analysis. Publications demonstrate expertise in: Hybrid deep learning for volatility forecasting Extreme value theory applications Autoregressive conditional duration models Correlation asymmetry and causality measures Current advisee: Leonard Mushunje (PhD candidate analyzing high-dimensional financial functional data).

• Digital Culture
• New Media
• Cultural Theory
• +۷ مورد دیگر

Martin Zeilinger is a Senior Lecturer in Computational Arts & Technology within the Games & Art Division at Abertay University's School of Design and Informatics. He has also been affiliated with the University of Toronto's Comparative Literature department. With a background in film and comparative literature, Zeilinger functions as a researcher, practitioner, and curator in digital culture. His research focuses on appropriation and cultural ownership in digital art and contemporary media practices. He critically examines intellectual property regimes, blockchain technologies in digital art markets, AI art and creative agency, remix culture, and the political economy of digital creative practices. His work often bridges theoretical critique with artistic practice, engaging with concepts like authorship, creative agency, and cultural ownership from multiple perspectives. Zeilinger's publications reveal a consistent focus on how digital creative practices challenge traditional notions of authorship and ownership. His recent work explores AI art, blockchain technologies, and the financialization of digital art, while earlier publications examine live coding, chipmusic, and found footage film. A recurring theme is how these practices expose tensions between digital creativity and restrictive intellectual property frameworks. As a curator, Zeilinger has co-organized exhibitions including Impedance: Games + Resistance and Networks 2.0: Emergence + Experimentation as part of the Vector Game + Art Convergence Festival. He has also organized panels on topics such as The Politics of Appropriation in Game Art and Dynamic Fair Dealing: Countering the Cultural Impact of Intellectual Property Law . His curatorial work reflects his interest in the intersection of games, art, and resistance against restrictive cultural frameworks. Zeilinger's approach consistently bridges artistic practice with critical research, arguing for the critical role artistic practice can play in or as research. His scholarship demonstrates deep engagement with philosophical frameworks including Deleuze and Guattari, Baudrillard, and Debord, which he applies to contemporary digital culture and creative practices.

Hans-Arno Jacobsenمشاهده پروفایل

استاد

• Distributed Systems
• Data Management
• Data Science
• +۱۰ مورد دیگر

Hans-Arno Jacobsen is a Professor holding the Jeffrey Skoll Chair in Computer Networks and Innovation at the University of Toronto , affiliated with the Department of Electrical and Computer Engineering and Department of Computer Science under the Faculty of Applied Science and Engineering . Full-time faculty member since 2001 Fellow of the IEEE Chair of the Computer Group Jacobsen leads the Middleware Systems Research Group (MSRG) , focusing on scalable distributed systems. His work spans: Core research: Event processing, publish/subscribe systems, service-oriented architectures Applied domains: Blockchain infrastructure, quantum machine learning, cloud computing Cross-disciplinary interests: Energy informatics, sustainable computing, quantum chemistry His publications and grants since 2019 demonstrate sustained leadership in: Quantum computing applications Reproducibility in quantum systems Blockchain optimization Microservices architecture Cyber-physical system engineering Selected scientific awards: Double Test-of-Time Award recipient from VLDB (2019) and ACM Middleware (2015) Event Processing Technical Society's Innovative Principles Award (2011) Major funding includes: NSERC Discovery Grant (2021-2026) for 'Learning Clouds' IBM/NSERC Collaborative Grant (2019-2023) for cloud microservices Ontario Research Fund (2019-2026) for CyPreSS project

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

• Big Data Analytics
• Sentiment Analysis
• Data Management
• +۳ مورد دیگر

Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.

Maggie Rong Huمشاهده پروفایل

استادیار

• Real Estate Finance and Economics
• Household Finance
• FinTech
• +۲ مورد دیگر

Maggie Hu is an Assistant Professor at the William Newman Department of Real Estate, Zicklin School of Business, City University of New York. Holding a PhD in Finance and a Bachelor of Engineering from the National University of Singapore, her work bridges real estate economics, fintech, and empirical corporate finance. PhD in Finance, National University of Singapore (2013) B.Eng in Industrial & Systems Engineering, National University of Singapore (2008) Her research focuses on: Empirical Real Estate Finance FinTech and Banking Corporate Finance Dynamics Household Financial Behavior Recent publications examine real estate speculation spillovers, cryptocurrency-driven capital controls evasion, weather-induced sentiment effects in housing markets, and peer-to-peer lending biases. Papers appear in top journals like American Economic Review , Management Science , and Journal of Financial and Quantitative Analysis . Scientific recognitions include: PSC-CUNY Research Award (2025) Best Paper Awards at Academy of Finance Conference (2022, 2021, 2016) Rising Star in Real Estate Research (2019) Pacific-Basin Finance Journal Best Paper Award (2022) She serves on graduate committees at Baruch College and reviews for international conferences including FMA Annual Meeting and Sydney Banking & Financial Stability Conference.

• Econometrics
• Econophysics
• Financial Markets
• +۳ مورد دیگر

Andreia Teixeira Marques Dionísio is an Associate Professor with Habilitation at Universidade de Évora and serves as Vice-Director of CEFAGE (Centro de Estudos e Formação Avançada em Gestão e Economia), a prominent research center focused on management and economics. Her academic career demonstrates deep engagement in quantitative financial analysis, econophysics, and market dynamics research. She holds a Ph.D. in Management from ISCTE (2006), an M.Sc. in Organization and Information Systems from Universidade de Évora (2001), and a B.A. in Business Management from Universidade de Évora (1997). Her educational background provided the foundation for her interdisciplinary research approach that bridges traditional economics with physics-inspired methodologies. Dionísio's research primarily focuses on Econometrics, Econophysics, and Financial Markets , with significant contributions to understanding cryptocurrency dynamics, energy market relationships, and nonlinear dependencies in global financial systems. Her work frequently applies innovative methodologies including entropy analysis, mutual information, and detrended fluctuation analysis to address complex financial phenomena. Recent research has explored the intersection of geopolitical events with financial markets, cryptocurrency volatility patterns, and the application of statistical physics to financial time series analysis. Her publication record shows a clear evolution toward increasingly sophisticated analyses of financial market interconnections, with recent work emphasizing cryptocurrency markets, energy-finance linkages, and the application of econophysics approaches to traditional financial questions. The research demonstrates methodological diversity while maintaining focus on understanding market efficiency, risk transmission, and nonlinear dependencies. Dionísio has successfully supervised numerous graduate students through their academic journeys, demonstrating commitment to academic mentorship and knowledge transfer. Her research projects, including 'Grampcity: Inovstone 4.0' and 'Exploration of Entropy on Decision Models,' reflect practical applications of theoretical frameworks to real-world economic challenges. She actively participates in research teams and collaborates on interdisciplinary projects that bridge economics, physics, and data science methodologies. Her work with CEFAGE positions her at the forefront of innovative economic research in Portugal, contributing to both theoretical advancements and practical applications in financial market analysis.

Hans-Jörg von Mettenheimمشاهده پروفایل

استاد

• Decision Support Systems
• Artificial Intelligence in Finance
• Machine Learning
• +۵ مورد دیگر

Hans-Jörg von Mettenheim is Professor and Director of the Chair of Quantitative Finance and Risk Management at IPAG Business School Paris. He earned his Dr. rer. pol. (PhD) from Leibniz University Hannover with a dissertation on advanced neural networks in finance and forecasting. Current: IPAG Business School Paris Previous: École d'Économie (Leibniz University Hannover, 2010-2016) His research focuses on decision support systems, artificial intelligence in finance, and algorithmic trading. He has published extensively on neural networks, high-frequency trading, and energy economics. Recent work includes hybrid optimization techniques for energy forecasting, ESG sentiment-driven portfolio management, and cryptocurrency analytics. His editorial roles include Co-Editor-in-Chief of the Journal of Forecasting and founding Secretary General of the Forecasting Financial Markets Association.

Lutz Maicherمشاهده پروفایل

استاد

• Digital Transformation
• Business Administration
• Blockchain Technology
• +۳ مورد دیگر

Prof. Dr. Lutz Maicher is a Professor at HTWK Leipzig's Faculty of Business Administration and Industrial Engineering. He specializes in Digital Transformation , Business Administration , and Blockchain Technology . With prior roles including Junior Professor at the University of Jena and leadership positions at Fraunhofer IMW, his work focuses on SME digitalization and intellectual property management. Current: Professor at HTWK Leipzig 2014–2022: Junior Professor for Technology Transfer, University of Jena 2011–2019: Head of Working Group at Fraunhofer IMW His research explores digital collaboration tools for low-IT-skill organizations, including the open-source project samarbeid , and addresses intellectual property challenges in blockchain-based innovation. He has led projects like FiberConnect (AI radar for circular economy) and HOME (Digital Commerce in social work). Recent publications highlight trends in AI-driven process optimization and blockchain applications for SMEs. His work bridges semantic technologies, data management, and industrial digitalization . Awards DFG Research Training Group Fellow German Academic Scholarship Foundation recipient As managing director of das Schwarzen Brett UG , he drives strategic development of digital entrepreneurship technologies. He advises on technology transfer and digital governance , with notable contributions to the Schumpeter Centre and INFAI institute.

Xi Liمشاهده پروفایل

مدرس

• Mergers and acquisitions
• Fintech innovation
• Blockchain technology
• +۱ مورد دیگر

Dr. Xi Li is a Lecturer in Finance at the ICMA Centre, University of Reading, specializing in mergers and acquisitions, fintech innovation, and blockchain technology. She holds a PhD in Accounting and Finance from Durham University and an MSc in Financial Engineering from the University of Southern California. Her research examines cutting-edge topics in financial technology, including cryptocurrency market dynamics, blockchain applications in finance, and corporate financial strategies. Publications appear in top-tier journals like Management Science , The British Accounting Review , and Quantitative Finance , with a focus on empirical analysis of market behaviors. Awards include: 2021: Five best paper awards for 'Crypto Wash Trading' from Asseth-Kaiko, Crypto and Blockchain Economic Research Conference, Asia-Pacific Association of Derivatives, ML Conference, and FMA 2015: Best Paper Prize for 'Social Connection, Reference Point and M&A Performance' She has secured research funding from the National Social Sciences Foundation of China and the Ministry of Education, Humanities and Social Sciences. Currently teaches 'Introductory Economics for Business and Finance' (IC103).

Jeremiah Bohrمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computational Social Science
• Climate Change Communication
• +۴ مورد دیگر

Jeremiah Bohr is an Assistant Professor in the Information Systems department at the University of Wisconsin Oshkosh, specializing in computational methods and applied AI for analyzing large-scale communication patterns. His work bridges technical innovation with social science applications, focusing on real-world impact through data-driven approaches. Education: Ph.D., University of Illinois at Urbana-Champaign, 2014 BA, University of Wisconsin - Green Bay, 2005 Dr. Bohr's research spans Artificial Intelligence , Computational Social Science , and Climate Change Communication , utilizing Python and R to dissect political polarization, environmental discourse, and cryptocurrency adoption. His methodology emphasizes topic modeling , social media analytics , and embedding regression to uncover societal patterns in digital communication, with particular attention to biases in climate reporting and behavioral drivers of Bitcoin usage. Analysis of his 15 most recent publications reveals a consistent trajectory toward interdisciplinary AI applications: early work focused on climate skepticism and energy poverty (2014-2017), while recent research (2021-2025) increasingly leverages NLP for business intelligence and political communication analysis. His output demonstrates growing emphasis on methodological innovation in AI-driven social science, with climate politics and cryptocurrency behavior as recurring thematic anchors. Dr. Bohr has no listed scientific awards in the provided information. He actively mentors students through original research projects, integrating computational tools like Python and R into pedagogy. His academic service includes reviewing NSF grant proposals (May 2024), indicating engagement with federal research funding mechanisms. While no specific grants or labs are documented, his publication record suggests collaborative work across political science, environmental studies, and data science domains.