Find Academic Supervisors

• Regional Economics
• Innovation Policy
• Entrepreneurial Ecosystems
• +3 more

Prof. Francesco Perugini is a Researcher at the Department of Information Engineering of the Polytechnic University of Marche. His research focuses on regional development, innovation policy, and entrepreneurial ecosystems. He has contributed to studies on the impact of universities on innovation, regional disparities in Italy, and the effects of disasters like the 2016 Central Italy earthquake on local economies. His work integrates spatial economics analysis with policy evaluation, addressing topics such as government efficiency, EU funding allocation, and digitalization gaps. He has published extensively on entrepreneurial ecosystems' temporal dynamics and their role in economic resilience. His research also explores university-industry collaboration and the effectiveness of smart specialization strategies in regional development. Prof. Perugini's publications span from 2001 to 2025, reflecting a sustained focus on regional economic challenges. He advises on structural funds utilization and contributes to regional reports on entrepreneurship in the Marche region. Office hours are held weekly on Tuesdays from 11:00-13:00 at the Department of Information Engineering.

• Theoretical and Applied Operations Research
• Finance
• Shipping
• +4 more

Mageirou Evangelos is a Professor at the Department of Informatics within the School of Information Sciences and Technology at Athens University of Economics and Business (AUEB) . He holds a BS in Electrical Engineering from Princeton University (1971), an M.Sc. in Decision and Control Sciences from Harvard University (1972), and a Ph.D. in Decision and Control Sciences from Harvard University (1976). His research spans both theoretical and applied domains in Operations Research , with a focus on Finance , Shipping , and Energy Systems , alongside foundational work in Combinatorial Optimization , Algorithms , and Probabilistic Models . Education : BS in Electrical Engineering, Princeton University, 1971 M.Sc. in Decision and Control Sciences, Harvard University, 1972 Ph.D. in Decision and Control Sciences, Harvard University, 1976 His research interests integrate mathematical techniques with real-world applications, particularly addressing Greek business environments through Energy Systems , Financial Modeling , and Shipping Logistics . Publications emphasize Game Theory , Dynamic Optimization , and Graph-Theoretic Algorithms , reflecting his interdisciplinary approach. Notable contributions include algorithmic frameworks for Stochastic Vessel Positioning , Policy Iteration in Control Problems , and foundational studies in Kernel Enumeration and Default Logic . His work bridges Operations Research with Computer Science , particularly in Maritime and Energy Policy contexts. Administrative Roles : Chairman of the Governing Board, Public Power Corporation S.A. (since April 2004) Chairman of the Faculty Union, AUEB (1994–present) Deputy Chairman, Department of Informatics, AUEB (Sept. 2003–present) Director of Studies, MSc Program in Business Mathematics (Jointly organized with University of Athens and AUEB) Board Member, Hellenic Operations Research Society (1979–1983)

Randy Koon KoonView profile

Lecturer

• Renewable Energy
• Geothermal Energy
• Caribbean Energy Systems
• +3 more

Randy Koon Koon is a Lecturer in Renewable Energy at the CEES School of Engineering, focusing on sustainable energy systems in the Caribbean region. His research emphasizes geothermal energy potential assessments, renewable energy policy analysis, and climate change mitigation strategies for Small Island Developing States (SIDS). Key areas of expertise include multi-criteria decision-making frameworks for energy planning, solar and wind resource modeling, and hydrogen production pathways. Research interests span geothermal resource evaluation using stochastic methods (e.g., Monte Carlo simulations), solar radiation modification impacts, and energy transition challenges in Caribbean nations like Jamaica and Mexico. Collaborative work includes interdisciplinary studies on GIS-based wind energy siting, OTEC technology integration, and policy frameworks for achieving 100% renewable energy targets. Publications highlight innovative approaches to energy system resilience, including stakeholder-balanced wind energy planning and greenhouse gas reduction strategies. His work frequently addresses technical, economic, and policy dimensions of transitioning to low-carbon energy systems in vulnerable regions. Awards: Principal's Research Award for Best Research Publication (2023) Grants/Advising: No specific grants or advisees listed in available data Labs/Teams: Active in cross-border collaborations on Caribbean energy systems through regional partnerships

Brad DuthieView profile

Senior Lecturer

• Evolutionary Ecology
• Ecological Modelling
• Conservation Biology
• +4 more

Brad Duthie is a Senior Lecturer in Biological and Environmental Sciences at the University of Stirling , with a focus on evolutionary ecology, ecological modeling, and biostatistics. His research explores complex interactions in populations, communities, and social-ecological systems, particularly in the context of biodiversity evolution and conservation conflicts. Key Research Themes: Evolution of pesticide resistance, conservation conflict management, socio-ecological modeling, and genetic covariance structures. Software Development: Creator of the resevol and abmAnimalMovement R packages for simulating pest resistance and animal movement. Publications: Recent work includes studies on water poverty in Scotland, acoustic indices, Malagasy vanilla farming dynamics, and trait terminology in ecology. Grants & Collaborations: Involved in the ENDORSE project (BBSRC/FAPESP funding) with international partners in Brazil and the UK.

Serena VoloView profile

Professor

• Tourism Marketing
• Consumer Behavior
• Quantitative Marketing
• +5 more

Serena Volo is a Full Professor of Marketing at the University of Bolzano, Italy, within the Faculty of Economics and Management. She holds a PhD in Tourism Marketing from the University of Palermo, an MBA from Isida Business School, and a MA in Social Science Data Analysis from the University of Essex. Her career includes international experience across France, USA, UK, Ireland, Switzerland, and a Fulbright Research Scholarship at the University of Central Florida. Fluent in five languages, she serves as Editor-in-Chief of the Emerald journal Consumer Behavior in Tourism and Hospitality and leads the Tourism Research Methods Summer School. Her research focuses on tourism marketing, consumer behavior, and quantitative methodologies. Key themes include destination competitiveness, visual research methods, and sport tourism. She teaches courses such as Experiential Tourism Marketing and Strategic Marketing for Tourism at both undergraduate and postgraduate levels. Her work bridges theoretical frameworks (e.g., assemblage theory) with practical applications like crisis management and digital transformation in tourism. Professional affiliations include editorial roles for multiple peer-reviewed journals and membership in leading tourism organizations (SIMA, AIDEA, IFITT). Recent work addresses post-pandemic recovery strategies, Gen Z travel behaviors, and the ethical dimensions of digital tourism practices.

David StoweView profile

Associate Professor

• Financial Services
• Mathematical Modeling
• Portfolio Theory
• +2 more

David Stowe is an Associate Professor of Finance in the College of Business at Ohio University, where he has held academic positions since 2008 and currently serves in the Department of Finance. His professional journey includes roles as Visiting Assistant Professor of Finance (2013-present), Math Department Instructor (2008-2009), and prior industry experience as Sr. Financial Analyst at Ohio University's Treasury Department, Sr. Investment Analyst at the School Employees Retirement System of Ohio, and various positions at Invesco Funds Group. His educational background features: PhD in Finance, University of Missouri - Columbia (2014) MS in Applied Mathematics, Ohio University (2009) MS in Finance, University of Colorado - Denver (2003) BSBA in Finance and Banking, University of Missouri - Columbia (1999) Stowe's research program integrates advanced mathematical techniques with financial theory, specializing in Financial Services, Mathematical Modeling, Portfolio Theory, Quantitative Methods, and Risk Management. His work develops rigorous frameworks for portfolio optimization, risk assessment, and financial decision-making, with particular emphasis on applying asset pricing principles to unconventional domains like educational assessment. His publication record (2012-2024) reveals consistent contributions across theoretical and applied finance, demonstrating evolution from traditional topics like IRA recharacterization and energy sector transactions toward innovative intersections with educational methodology. Recent work exemplifies his distinctive approach of leveraging portfolio theory for exam design and assessment weighting, while maintaining strong foundations in quantitative risk modeling and market analysis. No scientific awards are documented in available sources. Information regarding student advising, research grants, or laboratory affiliations is not provided in current public materials.

Hedvig SkirgårdView profile

Research Fellow

• Language Diversification
• Computational Linguistics
• Oceanic Languages
• +2 more

Hedvig Skirgård is a Postdoctoral Researcher specializing in language diversification and computational methods at the Max Planck Institute for Evolutionary Anthropology. As project coordinator for the Grambank database (2,000+ languages), her work examines macro-scale linguistic variation using ancestral state reconstruction and statistical modeling. Educational credentials include: PhD in Linguistics (2021) - Australian National University MA in Linguistics (2013) - Stockholm University BA in General Linguistics (2011) - Stockholm University Research focuses on Remote Oceanic languages, with methodological contributions to phylogenetic reconstruction and typological database design. Public engagement includes co-hosting the 'Because Language' podcast and developing educational resources for linguistic typology.

• Corporate Social Responsibility (CSR)
• Financial Performance
• Accounting
• +5 more

Julien LACHUER is an Associate Professor at the Université de Rennes 1 , affiliated with the CREM UMR CNRS 6211 research center. He serves as Director of Studies for the Licence 3 Gestion Formation initiale program and Vice Dean for Studies & Training Programs. His research focuses on the intersection of Corporate Social Responsibility (CSR) and financial performance, employing both quantitative (multi-criteria analysis) and qualitative methods (discourse analysis, Alceste, Nvivo). Key areas include understanding how CSR policies influence profitability, risk, and intangible values of firms, alongside transformations in corporate purpose and market frameworks like the UN Sustainable Development Goals. Teaching responsibilities include Accounting, Management Control, Finance, and CSR modules. His recent publications explore CSR regulatory impacts, sustainable discourse analysis, and AI applications in CSR modeling. Research outputs span journals like Management International and Journal of Asset Management , with a focus on empirical studies of US and European markets. His work emphasizes bridging extra-financial risks with traditional financial metrics, offering insights for both academia and corporate decision-makers. No specific scientific awards are listed, but his active research profile reflects continuous contributions to CSR and finance intersections.

Bora OzkanView profile

Associate Professor

• Corporate Finance
• Emerging Markets Real Estate
• Business Education
• +15 more

Bora Ozkan is an Associate Professor in the Department of Finance at Temple University's Fox School of Business and Management. He joined the Fox School in 2014 and serves as Academic Director of the Online MBA and Online BBA programs. Prior roles include adjunct lecturer positions at Tulane University and Southeastern Louisiana University. Education : PhD in Financial Economics (University of New Orleans, Dean’s Scholarship), MS in Financial Economics and Business Administration (University of New Orleans), BS in Science and Economics (Hacettepe University) Research Interests : Corporate finance, emerging markets real estate, business education, fintech, blockchain, and ESG sustainability Teaching : Courses in financial modeling, fintech, asset pricing, and corporate finance at both undergraduate and graduate levels Professional Experience : Director of International Marketing at Alexander & Hamilton, Inc. Ozkan’s research focuses on corporate finance and emerging markets real estate , with recent work on AI’s impact on CSR/ESG and fintech trends . His publications span journals like the International Journal of Economics and Finance and Journal of Education for Business , reflecting his dual emphasis on finance theory and pedagogical innovation. Scientific Awards : Dean’s Scholarship for PhD studies at the University of New Orleans Ozkan is a frequent speaker at educational conferences such as Bloomberg for Education and Equity Markets Seminar, advocating for experiential learning tools in finance education. His work on six sigma , mutual fund coskewness , and disruptive fintech spans both theoretical and applied domains.

• Financial Economics
• Corporate Governance
• Climate Risk Management
• +3 more

Md Akhtaruzzaman is an Associate Professor at the Peter Faber Business School within the Faculty of Law and Business . His research focuses on financial economics, corporate governance, climate risk management, and cryptocurrency analysis. He has published extensively on topics such as financial contagion, risk spillovers, and the impact of macroeconomic policies on financial markets. Key research interests include the interplay between monetary policy and FinTech firms, board diversity's role in corporate sustainability, and hedging strategies involving precious metals and agricultural commodities. His work often addresses global crises, such as the implications of the 2020 pandemic on financial systems and emerging markets. A recent trends in his publications highlight analyses of systemic risk in cryptocurrency markets, the efficacy of green investing for portfolio optimization, and the aftermath of banking collapses like Silicon Valley Bank. His research emphasizes empirical methods, including network analysis and textual news mining for yield behavior prediction. No scientific awards are explicitly mentioned in the provided texts. His advising and grants information remains unspecified. Current affiliations include active contributions to journals like International Review of Financial Analysis and Journal of Accounting Literature .

Niranjan PatiView profile

Professor

• Operations Management
• Supply Chain Management
• Corporate Sustainability
• +4 more

Dr. Niranjan Pati is a Professor at Rowan University's William G. Rohrer College of Business with expertise in operations management, supply chain, and corporate sustainability. He previously served as Dean of the Rohrer College of Business (2008-2012) and Dean of Indiana University Kokomo's business school (2001-2008). His research focuses on: Benchmarking methodologies across industries and sectors Strategic determinants of business performance Sustainable business excellence models Operational efficiency and innovation linkages Analysis of Dr. Pati's publications demonstrates consistent attention to: Cross-cultural performance benchmarking in manufacturing and services Corporate sustainability-performance relationships Advanced analytical methods for strategic decision-making Governance and compensation structures in diverse organizations Dr. Pati holds leadership certificates from Harvard University's Institute for Educational Management (IEM) and Management Leadership in Education (MLE) programs. He is certified as a Supply Chain Operations Reference Professional (SCOR-P) and was honored with the Distinguished Hoosier Award by the State of Indiana in 2008. He serves as Editor-in-Chief of the International Journal of Family Business and Regional Development and holds editorial positions with several peer-reviewed journals.

Ekaterina SereginaView profile

Assistant Professor

• Financial Econometrics
• Econometric Theory
• Graphical Models
• +3 more

Ekaterina Seregina is the Douglas Assistant Professor of Economics and Finance at Colby College's Department of Economics. Her research focuses on financial econometrics, econometric theory, graphical models, portfolio optimization, machine learning, and forecasting. She teaches courses such as Corporate Finance I, Corporate Finance II, and Seminars on Financial Technology. Her work bridges statistical methodologies with practical applications in finance and economics, emphasizing high-dimensional data analysis and machine learning techniques. Her research interests include developing sparse portfolio strategies, volatility forecasting using Bregman functions, and integrating graphical models with machine learning for econometric analysis. She has contributed to optimizing portfolios under unstable conditions and improving forecast accuracy through structural break detection. Her recent studies address challenges in financial risk modeling and efficient data science techniques for public health crises like the pandemic. Dr. Seregina’s publications span topics from covariance matrix estimation to applications of graphical Lasso in portfolio management. Her work often highlights interdisciplinary approaches, combining econometrics with modern computational methods. She maintains an active research agenda in financial technology and macroeconomic forecasting, reflecting her commitment to advancing both theoretical and applied economics.

Andrei AtanovView profile

Researcher

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +3 more

Andrei Atanov is a Researcher at the Laboratoire d'intelligence et d'apprentissage visuels (VILAB) within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL) . His research focuses on advanced topics in artificial intelligence, computer vision, and machine learning, with particular emphasis on multimodal learning, vision-language models, and robust generalization. He is affiliated with the Department of Computer Science and contributes to projects exploring innovative solutions for vision tasks using computationally designed sensors and diffusion models. His work often bridges theoretical advancements with practical applications in robotics and generative systems. Key research areas include developing large vision-language models, optimizing vision algorithms for low-sensor environments, and enhancing model robustness through diversification strategies. His publications span topics from 3D data augmentation to uncertainty estimation in deep learning, reflecting a broad yet technically deep expertise in AI fundamentals and applications.

Ignacio QuinteroView profile

Researcher

• Phylogenetics
• Bayesian Inference
• Stochastic Processes
• +5 more

Ignacio Quintero is a CNRS Research Scientist at the Institut de Biologie de l'École Normale Supérieure (IBENS), part of Paris Sciences et Lettres University. His work focuses on evolutionary processes underlying biodiversity patterns through advanced computational modeling. His research interests include: Phylogenetic probabilistic modeling of diversification Bayesian inference in evolutionary biology Stochastic processes in biogeography and trait evolution Development of open-source tools using Julia and R His recent publications demonstrate significant contributions to understanding mammalian radiation dynamics and phylogenetic comparative methods, with a strong emphasis on computational innovation. Key trends show integration of fossil data with molecular phylogenies and development of scalable Bayesian frameworks for macroevolutionary analysis. Scientific recognition includes: Marie-Curie Fellowship for postdoctoral research Quintero actively supervises PhD candidates and develops educational resources, including specialized workshops on probabilistic phylogenetic methods. His laboratory work centers on building computational pipelines for analyzing large-scale biodiversity datasets using Julia-based open-source software. Current research explores spatial diversification dynamics and the impact of historical biogeography on modern biodiversity gradients.

Joëlle Barido-SottaniView profile

Researcher

• Phylogenetics
• Bayesian Inference
• Diversification Models
• +3 more

Joëlle Barido-Sottani is a postdoctoral researcher at École Normale Supérieure (ENS), focusing on developing mathematical models to study diversification processes using phylogenetic analysis. Her research integrates birth-death processes, Bayesian inference, and fossil data to understand evolutionary dynamics. She contributes to software frameworks like BEAST2 and RevBayes , enhancing tools for phylogenetic analysis and phylodynamic studies. Her work bridges evolutionary biology and computational methods, emphasizing methodological advancements in fossil integration and model development. Her research interests include phylogenetic modeling , Bayesian statistical methods , and the application of these techniques to study diversification patterns across species. She has developed computational tools such as FossilSimShiny and EvoPhylo , which facilitate simulations and data preprocessing in evolutionary studies. Her recent work highlights the importance of integrating fossil records with modern species data to improve estimates of historical diversification rates. Over the past few years, her publications have focused on enhancing phylogenetic inference through methodological innovations. For example, her work on the Multi-Type Fossilized Birth-Death model (2025) addresses heterogeneous diversification rates, while her guidelines for MCMC-based Bayesian inference (2024) provide practical frameworks for researchers. She has also contributed to epidemiological applications of phylogenetic models, extending their utility beyond traditional evolutionary studies. Barido-Sottani’s collaborations emphasize open-source software development, enabling broader accessibility to advanced phylogenetic tools. Her teaching efforts, such as organizing virtual workshops like Taming the BEAST , reflect her commitment to advancing computational training in evolutionary biology.