جست‌وجوی استاد و پژوهشگر

Jo Waltonمشاهده پروفایل

پژوهشگر ارشد

• Arts and Humanities
• Climate and Sustainability
• AI and Automation
• +۱۱ مورد دیگر

Jo Walton is a Senior Research Fellow at the University of Sussex, School of Media, Arts and Humanities, specializing in interdisciplinary intersections of arts, climate, and technology. Their career spans roles at institutions including the University of Edinburgh (2018-2024), University of Leicester (2016-2017), and Northumbria University (2013-2016). Current role since 2024: Senior Research Fellow in Arts, Climate and Technology Steering Committee member for Analysis Under Uncertainty for Decision-Makers Network (since 2021) Editorial work with British Science Fiction Association and Vector journal Research interests combine speculative fiction with political economy, focusing on: New Political Economies Critical Design Fiction The Ludic (games and play) Automation and AI ethics Climate futures and immersion Recent publications explore machine learning in SF, post-capitalist economies, and critical design fiction. They co-authored works on climate storytelling games and data visualization ethics. Scientific Awards: BSFA Award Longlist (2020) BSFA Award Shortlist (2019) As a creative practitioner, Jo co-runs Sad Press Poetry and contributes to speculative poetry, including edited collections on secrecy and work themes. They hold an IEMA Certificate in Environmental Management and engage in STEM consultancy on communication and ethics.

Paola Falugiمشاهده پروفایل

مدرس ارشد

• Predictive Control Systems
• Data-Driven Modelling
• System Modelling and Optimization
• +۴ مورد دیگر

Dr. Paola Falugi is a Senior Lecturer in Electro-Mechanical Engineering at the University of East London and holds an honorary visiting researcher position at Imperial College London. Her expertise spans predictive control systems, data-driven modeling, and energy network optimization under uncertainty. Senior Lecturer, Department of Engineering & Construction, School of Architecture, Computing and Engineering, University of East London Honorary Visiting Researcher, Imperial College London Research focuses on: Predictive control strategies for uncertain systems Data-driven modeling for control applications Optimization methods in energy network expansion Energy management under stochastic conditions Control systems for robotics and mechatronics Recent publications highlight her contributions to: Robust co-design frameworks for building energy systems Machine learning integration in transmission expansion planning Automated scenario generation for optimal control Control strategies for residential buildings with energy storage Her work bridges theoretical advancements in control theory with practical applications in energy systems and building automation.

Maureen Francis Maschaمشاهده پروفایل

دانشیار

• Judgment and Decision-Making Under Uncertainty
• Internal Controls
• Sustainability Reporting
• +۵ مورد دیگر

Maureen Francis Mascha , an Associate Professor of Accounting at Purdue University Northwest, combines academic expertise with practical experience as a CPA and former audit manager. She coordinates the forensic accounting program and advises Beta Alpha Psi, a professional honor society. Research Focus : Decision accuracy under uncertainty, technology's impact on learning outcomes, and the Sarbanes-Oxley Act's influence on audit practices. Teaching Philosophy : Emphasizes data analysis and contemporary software to enhance student employability. Global Engagement : Recipient of the Fulbright Award (2022) for researching sustainability reporting and textual data analytics at the University of Vaasa, Finland, focusing on EU's Sustainable Finance Disclosure Regulation (SFDR) and U.S. reporting comparisons. Credentials : Certified Public Accountant (Illinois) and Certified Information Systems Auditor (CISA).

John W. Maxwellمشاهده پروفایل

استاد

• Corporate Environmentalism and Public Policy
• Non-market Strategy
• Risk Management
• +۳ مورد دیگر

John W. Maxwell is a Professor of Business Economics & Public Policy at Indiana University's Kelley School of Business and a Research Professor at the University of Western Ontario's Richard Ivey School of Business. He holds prestigious fellowships including FRSA designation and research affiliations with Peking University and the University of Bonn. His academic credentials include: BScS in Mathematics from Acadia University (1986) MA in Economics from Queen's University (1987) PhD in Economics from Queen's University (1993) Professor Maxwell's research examines the critical nexus between corporate environmental strategy, public policy, and non-market forces. His work investigates how businesses navigate environmental regulations, stakeholder pressures, and sustainability transitions through strategic signaling, risk management, and political engagement. This research bridges environmental economics with corporate strategy to address real-world challenges in ecological governance. His publication record (2011-2020) reveals consistent exploration of green labeling efficacy, consumer learning dynamics, and corporate responses to regulatory threats. A dominant theme is the analysis of greenwashing mechanisms and how firms strategically disclose environmental performance under audit pressures. His work increasingly focuses on systemic sustainability transitions and the political foundations required for effective corporate environmental action. His distinguished honors include: Fellow of the Royal Society for the Encouragement of Arts, Manufactures and Commerce (FRSA) Research Fellowship at CCISSR, Peking University Senior Fellowship at ZEI, University of Bonn Professor Maxwell has educated generations of students through courses on Global Environment of Business, Corporate Non-market Strategy, and Regulation and Public Policy across undergraduate, MBA, and PhD programs. His academic leadership spans departmental chairmanship at Indiana University and international advisory roles including Chairman of Peking University's Foreign Scholars Advisory Committee. He actively shapes research ecosystems as founding board member of the Alliance for Research in Corporate Sustainability and through sustained collaborations with institutions across Canada, China, and Germany.

Jari Vepsäläinenمشاهده پروفایل

استادیار

• Mechatronics Design
• Energy Efficient Systems
• Generative Design
• +۷ مورد دیگر

Jari Vepsäläinen is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering under the College of Engineering. He serves as Director of the Fluid Power group and specializes in mechatronics design, energy efficiency, and generative design methodologies. Research focuses on physics-based modeling for energy recovery AI/ML applications in electromechanical system design Applications in robotics, heavy machinery, and sustainable transportation His recent publications demonstrate expertise in hybrid systems, fluid power optimization, and AI-driven engineering, with a strong emphasis on electrification and efficiency across automotive, maritime, and industrial domains. Key areas: Mechatronics, Energy Systems, Generative Design Technologies: Digital Twins, IoT, Machine Learning Current projects involve thermal energy systems, electric motor optimization, and advanced control algorithms for mobile machinery.

Christophe Kervazoمشاهده پروفایل

استادیار

• Sparse Blind Source Separation
• Nonnegative Matrix Factorization
• Hyperspectral Imaging
• +۴ مورد دیگر

Christophe Kervazo is an Assistant Professor (Maître de Conférences) at Télécom Paris, France, affiliated with the IMAGES group under the Image, Data, Signal (IDS) department . His research focuses on sparse blind source separation, nonnegative matrix factorization, hyperspectral imaging, and optimization techniques for remote sensing and biomedical applications. Education: Engineering degree from Supélec (2015), Master of Science from Georgia Institute of Technology (2016), PhD in Signal and Image Processing from Université Paris Saclay (2019). His work spans deep learning for inverse problems (including deep unrolling techniques), remote sensing (hyperspectral imaging and SAR), and uncertainty quantification . Recent publications address synthetic data training for medical imaging, distributed sparse BSS, and nonlinear component separation. Collaborators include institutions like CEA Saclay, Université de Mons, and ONERA. Current students include PhD candidates working on topics such as digital breast tomosynthesis, hyperspectral unmixing, and SAR image reconstruction. Former students and interns have contributed to projects involving plug-and-play methods, unrolling algorithms, and implicit regularization. He is involved in teaching and research projects, including collaborations with Airbus and ONERA on hyperspectral imaging and spectral band optimization. His lab, LTCI (Information Processing and Communication Laboratory), supports interdisciplinary work in signal and image processing.

Minwoo Ahnمشاهده پروفایل

پژوهشگر

• Environmental Policy
• Water Policy
• Climate Behavior
• +۴ مورد دیگر

Minwoo Ahn is a Postdoctoral Research Associate with Climate Assessment for the Southwest and the College of Architecture, Planning & Landscape Architecture at the University of Arizona. His academic journey includes a PhD in Government and Public Policy from the University of Arizona with a focus on collaborative governance and water management, followed by a postdoctoral position at Arizona State University's Center for Behavior, Institutions, and the Environment. His research interests span environmental policy, water policy, climate behavior, and heat governance. As a core member of the Heat Resilience Initiative, he examines heat equity issues including public health impacts of extreme heat and develops frameworks to manage and mitigate these impacts. His methodological approach combines game experiments, survey experiments, text analysis, and interview techniques to address complex environmental challenges. American and Korean comparative perspectives deeply inform his work on public administration and government trust. His recent publications reveal a strong focus on collaborative governance systems, climate resilience strategies, and the social dimensions of environmental policy. His research demonstrates increasing attention to extreme heat governance, with multiple 2024-2025 publications addressing heat health disparities and resilience frameworks. His scholarly contributions appear in policy-oriented journals including International Journal of the Commons, Ecology and Society, Humanities and Social Science Communications, Public Management Review, and Journal of Political Science Education. As an active public intellectual, Ahn maintains a Substack presence where he discusses climate policy, administrative theory, and comparative governance approaches. His recent posts (as of April 2025) address heat governance challenges, reflections on public administration, and the importance of visible public services in building government trust.

Piotr Omenzetterمشاهده پروفایل

مدرس ارشد

• Structural Health Monitoring
• Structural Dynamics
• Offshore and Subsea Structures
• +۵ مورد دیگر

Dr. Piotr Omenzetter is a Senior Lecturer at the School of Engineering , University of Aberdeen, specializing in structural health monitoring (SHM), dynamic testing, and reliability analysis of civil infrastructure. His research focuses on offshore structures, wind turbines, bridges, and buildings, with applications of artificial intelligence and signal processing. Positions: Senior Lecturer (University of Aberdeen) Education: ME (Technical University of Gdansk), PhD (University of Tokyo) Research Interests include: Structural Health Monitoring (SHM) for offshore and subsea systems, wind turbines, and bridges Theoretical and experimental structural dynamics, including soil-structure interaction Reliability analysis under uncertainty and earthquake engineering Artificial intelligence (neural networks, deep learning) and signal processing (time series analysis) Structural control and optimization for wind farms and bridges Publication Trends show a focus on data-driven approaches like SHM and finite element model updating to assess damage severity in wind turbines and bridges. His work integrates machine learning (e.g., distance metric learning, neuro-fuzzy systems) and optimization algorithms (virus optimization, sequential niche techniques) to enhance damage detection accuracy. Teaching Responsibilities include courses on structural dynamics and reliability analysis for oil & gas engineering students. He has reviewed for 17 journals, including Computer Aided Civil and Infrastructure Engineering and Engineering Structures .

Tieming Liuمشاهده پروفایل

دانشیار

• Supply Chain Coordination
• Logistics Planning
• Healthcare Data Analytics
• +۴ مورد دیگر

Dr. Tieming Liu is an Associate Professor in the School of Industrial Engineering and Management at Oklahoma State University , where he has served since 2005, first as Assistant Professor and then promoted to Associate Professor in 2011. His expertise bridges operations research, supply-chain coordination, healthcare analytics, renewable-energy policy, and production scheduling. Education Ph.D. in Transportation and Logistics, Massachusetts Institute of Technology, 2005 M.S. in Industrial Engineering and Management Science, Northwestern University, 2001 M.S. in Control Theory and Control Engineering, Tsinghua University, 2000 B.S. in Control Theory and Control Engineering, Tsinghua University, 1997 Research Interests Dr. Liu’s scholarship is organized around three pillars: Supply-Chain & Logistics: coordination contracts, inventory bounds, responsive pricing, channel rebates, and production flexibility under uncertainty. Healthcare Analytics: machine-learning models for diabetic retinopathy and sepsis risk prediction, clinical decision-support systems, and handling imbalanced EHR data. Energy & Sustainability: renewable portfolio standards, capacity coordination with renewable energy certificates, and incentive mechanisms for renewable and conventional generators. Recent methodological contributions include hidden Markov models for continuous mortality prediction, tree-augmented Bayesian networks for sepsis risk, and tensor-completion-driven convolutional networks for longitudinal medical data. Scientific Awards & Honors EJOR Reviewer Award, 2019 IEM Faculty Award, 2019 Halliburton Outstanding Faculty Award, OSU, 2014 Merrick Foundation Teaching Award, OSU, 2013 Riata/Koch Faculty Fellow, OSU, 2012 Lockheed Martin Teaching Award, OSU, 2011 Student Organization Faculty Advisor of the Year, OSU, 2010 Student Mentorship & Collaboration Dr. Liu has advised or co-advised a large cohort of doctoral and master’s students whose names appear as first or co-authors on his publications. His collaborative network spans MIT, Northwestern, IBM T. J. Watson Research Center, and multiple departments across OSU, fostering interdisciplinary projects that integrate operations research with real-world healthcare, transportation, and energy challenges. Laboratories & Teams He conducts research within the analytics and optimization laboratories of the School of Industrial Engineering and Management, directing projects funded by federal agencies and industry partners aimed at next-generation decision-support systems for healthcare providers, logistics operators, and energy market regulators.

Johannes Gräffمشاهده پروفایل

دانشیار

• Neuroscience
• Bioengineering
• Control Systems
• +۳ مورد دیگر

Johannes Gräff is an Associate Professor at EPFL, affiliated with the Bioengineering Institute (BMI) under the School of Life Sciences (SV). He also serves as Director of the Neuroscience Doctoral Program (EDNE) and holds roles in the Synapsy Research Center (SRC). His research focuses on interdisciplinary applications of control systems, robotics, and data-driven optimization in bioengineering and manufacturing. Gräff leads the Prof. Gräff Unit (UPGRAEFF) and teaches courses on neuroscience and general biology. He advises multiple doctoral students and contributes to academic governance through roles in doctoral commissions and program management. His expertise spans adaptive control, Bayesian optimization, and closed-loop systems, with applications in precision engineering, additive manufacturing, and neuroscientific instrumentation. Gräff’s work bridges theoretical control methodologies with practical industrial and biomedical challenges, emphasizing safety and efficiency in automation. He oversees the Neuroscience Doctoral Program, guiding interdisciplinary research training, and maintains administrative responsibilities in EPFL’s academic and research structures. His lab (graefflab.epfl.ch) focuses on advancing technologies for autonomous systems and precision control in dynamic environments.

• Sustainability
• Energy and Environmental Economics
• Climate Change
• +۴ مورد دیگر

Andrew Adewale Alola is an Associate Professor at the Department of Economics, Inland Norway University of Applied Sciences, affiliated with the CREDS-Centre for Research on Digitalization and Sustainability. He holds a PhD in Economics from Eastern Mediterranean University (Cyprus), an MSc in Applied Mathematics and Computer Science from the same institution, and a bachelor’s degree from the University of Ilorin (Nigeria). Previously, he served as an Assistant Professor at the University of Vaasa (Finland) and held faculty positions at Istanbul Gelisim University and Nişantaşı University (both in Turkey). He collaborates with South Ural State University (Russia) and the University of Johannesburg (South Africa). His research focuses on Sustainability, particularly Energy and Environmental Economics, addressing global challenges under the UN Sustainable Development Goals. Over 150 peer-reviewed publications span journals like Science of the Total Environment and Energy Policy . Since 2020, he has been ranked in the Top 2% Global Scientists in Energy and Environment. He teaches, conducts research, and supervises theses. He is fluent in English and learning Norwegian. Key research themes include climate change, energy transition, material efficiency, and cross-country sustainability comparisons. He investigates policy mechanisms, renewable energy adoption, and economic-environmental trade-offs. His work often uses advanced econometric methods and policy analysis to inform sustainable development strategies. He is part of the Smarter Greener Innovation (SGI) and Sustainable Ecosystem Transition (SET) research groups. His articles analyze topics like fossil fuel subsidies, green bonds’ impact on emissions, and coal dependency reduction strategies. His contributions emphasize practical solutions to achieve environmental and economic synergies.

Ivo D. Tafkovمشاهده پروفایل

استاد

• Managerial Accounting
• Performance Measurement
• Behavioral Economics
• +۳ مورد دیگر

Professor Ivo D. Tafkov is a faculty member in the School of Accountancy at the Robinson College of Business, Georgia State University. His research focuses on the interplay of economic and behavioral factors influencing managerial decision-making, particularly in areas like performance measurement, team dynamics, and incentive design. He holds a Ph.D. from Emory University, an MBA from Kennesaw State University, and a B.B.A. from Sofia University. His work has been recognized with prestigious awards, including the 2021 Management Accounting Section Midyear Meeting Best Paper Award and the 2016 AAA Annual Meeting Best Paper Award. Key research themes include the strategic use of feedback, knowledge transfer in firms, and the impact of performance metrics on employee behavior and team performance. Tafkov’s publications span top journals such as The Accounting Review , Contemporary Accounting Research , and Management Accounting Research . His research often employs experimental methodologies to explore real-world managerial challenges, with a focus on multi-task environments, team communication, and the design of effective incentive systems.

Sylvain Arlotمشاهده پروفایل

استاد

• Statistical Learning
• Non-Parametric Statistics
• Data-Driven Tuning of Learning Algorithms
• +۵ مورد دیگر

Sylvain Arlot is a Professor at the Mathematics Department of Université Paris-Saclay, affiliated with the Probability and Statistics team at Laboratoire de Mathématiques d'Orsay. He leads the Celeste INRIA Saclay project-team and is a junior member of the Institut Universitaire de France (IUF) since 2020. His research focuses on statistical learning theory, non-parametric methods, model selection, and change-point detection. Arlot has contributed to foundational work on cross-validation, penalization techniques, and random forests. He co-organizes the Séminaire Palaisien and serves as an associate editor for the Annales de l'Institut Henri Poincaré B. Education: PhD in Mathematics from Université Paris-Sud (2007), HDR (Habilitation) from Université Paris Diderot (2014). Research Interests: Core areas include statistical learning theory, resampling methods (e.g., cross-validation and bootstrap), and applications in high-dimensional data analysis. His work bridges theoretical guarantees with practical algorithm design, emphasizing data-driven model selection and robust estimation techniques. Grants & Projects: Leads the PEPR IA Project Causali-t-AI (2023–2028) and was a member of the ANR Fast-Big project (2018–2023). He coordinates the math-AI program under Labex Mathématique Hadamard. Awards: Junior IUF membership (2020–2025). Labs/Teams: Heads the Celeste team at INRIA Saclay, collaborating on statistical machine learning and data science challenges.

• Information Systems
• Digital Innovation
• FinTech
• +۳ مورد دیگر

Dr. Ruilin Zhu is a Lecturer in Information Systems at Lancaster University Management School (LUMS), Lancaster University, within the Department of Management Science. His academic profile demonstrates active engagement in research supervision, with current PhD students under his guidance. Prior to his academic career, Dr. Zhu gained industry experience in financial institutions and completed visiting scholar positions internationally. Research Focus: Dr. Zhu's work integrates behavioral, economic, and legal perspectives to examine digital innovation phenomena. His primary domains include: FinTech and InsurTech systems development Health informatics and technology adoption Risk communication frameworks Digital transformation in business ecosystems Socio-technical aspects of information systems This multidisciplinary approach reflects his industry background and international research exposure. Publication Analysis: Recent scholarly output (2022-2024) reveals strong focus on crisis communication during COVID-19, health technology integration, and FinTech innovation. Methodologically, Dr. Zhu employs longitudinal studies, bibliometric analysis, and structural modeling to examine technology adoption patterns across healthcare, education, and SME sectors. Emerging themes include algorithmic fairness, digital banking evolution, and privacy concerns in technology deployment. Research Projects: Pennies Each Day (2024-2025): Micro-savings mechanisms in developed economies Digital health accessibility for elderly populations in Chinese communities (2019) Electronic food facilitation systems for export optimization in Bangladesh (2018-2019) Academic Leadership: Dr. Zhu currently supervises PhD candidate Itoro Abraham in Information Systems research. He contributes to LUMS research groups including the Centre for Technological Futures and Information Systems research cluster, facilitating cross-disciplinary technology innovation.

Paul Hughesمشاهده پروفایل

استاد

• Strategic Decision-Making
• Strategic Improvisation
• International Marketing Strategy
• +۴ مورد دیگر

Paul Hughes is the Chair in Strategy at Lancaster University Management School (LUMS), specializing in strategic improvisation, decision-making under uncertainty, and strategy failure analysis. He has held roles including Professor of Strategy at the University of Leicester and interim Head of Leicester Castle Business School. His research spans private and public sectors across Europe, Asia, and the Americas. Co-founder of Global Improvisation Dynamics (GID), he explores improvised decision-making with international collaborations funded by the British Academy and University of Macau. Teaching focuses on strategic management processes, uncertainty navigation, and gamification-based pedagogy. Awards include the Durham University Innovation in Teaching Award (2016) and Fellowships from the Higher Education Academy and Chartered Management Institute. Consultancy work emphasizes strategy-making and new venture creation. His research groups include the Centre for Family Business and editorial roles in Industrial Marketing Management . Roles: Chair in Strategy (LUMS), Former Professor of Strategy (Leicester), Interim Head of Leicester Castle Business School Research Themes: Strategic improvisation, international business strategy, public sector strategy Key Projects: GID (improvised decision-making), ESG in Family Firms (2024-2025) Teaching Excellence: Innovation in Teaching Award, case-based pedagogy, gamification Publications emphasize strategic dynamics in global contexts, innovation ambidexterity, and organizational learning. Awards highlight his contributions to pedagogy and strategic research frameworks.