جست‌وجوی استاد و پژوهشگر

• Energy Efficiency
• Thermal Comfort and Indoor Climate
• Building Physics
• +۶ مورد دیگر

Habtamu Bayera Madessa is an Associate Professor at the Department of Built Environment, Faculty of Technology, Art and Design at Oslo Metropolitan University. His research focuses on energy efficiency, thermal comfort, building physics, and sustainable building technologies. He is a core member of the Sustainable Built Environment (SustainaBuilt) research group. Habtamu has contributed to over 34 scientific publications, 1 textbook, and multiple research reports. His work addresses topics such as net-zero energy buildings, district heating optimization, renewable energy integration, and building automation. Key areas include tropical climate adaptation for energy systems, energy monitoring in Norway, and BIM-based sustainable design practices. His research combines experimental studies (e.g., viscosity analysis of scale inhibitors, PCM-enhanced materials) with numerical modeling (CFD for ventilation systems) and systems integration (smart buildings, ground-source heat pumps). He has collaborated on projects ranging from micro-hydropower systems to lifecycle analysis of building retrofits. Notable publications include a 2025 review on net-zero-energy buildings in tropical climates and a 2024 study on district heating return temperature reduction strategies. His textbook Fornybar Energi (2024) provides foundational knowledge on renewable energy systems.

Juan González Alegreمشاهده پروفایل

دانشیار

• Fiscal Policy
• Regional Economics
• Public Investment
• +۳ مورد دیگر

Juan González Alegre is an Associate Professor at the Faculty of Economics and Business Sciences, specializing in Economic Theory. He holds a PhD in Economics from the European University Institute. His research focuses on fiscal policy, regional economics, public investment, and EU regional policy. He is affiliated with the Outstanding Group in Economic Theory and leads the THE – Motiva Grant initiative. His work examines the efficiency of EU funding mechanisms, macroeconomic determinants of transport demand, and fiscal decentralization impacts. He is part of the Experimental Lab (Smart Decision Lab) and contributes to academic journals like the Journal of Transport Economics and Policy. His research spans topics such as public expenditure composition, structural funds allocation, and policy evaluation in Spain and the EU. Education: PhD in Economics (European University Institute) His research interests emphasize fiscal policy analysis, regional development strategies, and the effectiveness of intergovernmental grants. Recent work explores how macroeconomic factors influence air travel demand and evaluates labor market policies under EU frameworks. He has actively contributed to understanding the dynamics between EU structural actions and public spending patterns in Spanish regions. His grants and lab affiliations highlight a commitment to applied economic research with policy implications.

Sabine Zinnمشاهده پروفایل

استاد

• Computational Social Science
• Survey Methodology
• Data Science
• +۶ مورد دیگر

Sabine Zinn serves as Director of the Socio-Economic Panel (SOEP) at DIW Berlin since 2022 and holds a W3 Professorship in Social Science Methods at Humboldt University of Berlin since 2020. She leads one of Germany's most significant longitudinal social surveys while advancing computational methodologies at the university. Her dual roles bridge academic research with policy-relevant social analysis through DIW Berlin's institutional framework. Zinn's academic journey includes: Doctorate in Modeling and Simulation (2011) from University of Rostock's Faculty of Electrical Engineering and Computer Science Habilitation in Survey Statistics and Demography (2019) from University of Bamberg Studies in Business Mathematics at University of Jena Her research centers on computational social science with emphases on survey methodology, data science, and demographic analysis. She investigates migration flows, educational trajectories, and health outcomes using advanced statistical techniques including Bayesian modeling and microsimulation. Her work on nonresponse mechanisms in longitudinal surveys has established new methodological standards for population studies. Recent publications (2022-2025) demonstrate her focus on refugee survey methodology, nonprobability sampling validation, and microsimulation applications. She has pioneered innovative approaches for studying Ukrainian refugees in Germany through the IAB-BAMF-SOEP project, developing specialized sampling frameworks and weighting techniques that address hard-to-reach populations. Her article trends reveal consistent integration of machine learning with traditional survey methods. Zinn directs substantial research funding through DIW Berlin projects including ENTAILab and the German Social Cohesion Panel. She serves on multiple national and international advisory boards influencing survey methodology standards, though no formal student advisement is documented. Her leadership in projects like the IAB-BAMF-SOEP Survey of Refugees demonstrates significant grant management capacity. As SOEP Director, Zinn oversees Germany's premier household panel study infrastructure. She leads the ENTAILab research innovation lab and contributes to the RKI Panel's methodological development. Her teams specialize in cutting-edge data collection techniques including video-interviewing integration and respondent-driven sampling to enhance population diversity in surveys, particularly for migration research contexts.

• Image Processing
• Computer Vision
• Signal Processing
• +۴ مورد دیگر

Sos S. Agaian is a Professor affiliated with City University of New York (CUNY), USA, with a former position at the University of Texas at San Antonio's Department of Electrical and Computer Engineering. His research focuses on advanced image and signal processing techniques, including thermal imaging, medical imaging, neural networks, and computer vision applications. He has authored numerous publications in top-tier journals and conferences, contributing to fields like adversarial attack defenses, solar panel segmentation, and quantum-inspired algorithms. His work emphasizes practical solutions for image enhancement, deblurring, and segmentation, with applications in healthcare, energy systems, and cybersecurity. Research Interests: Image Processing and Computer Vision Signal Processing and Machine Learning Medical and Thermal Imaging Neural Networks and Deep Learning Quantum Computing Applications in Imaging Recent Trends in Articles: Recent work highlights advancements in quaternion-based neural networks for weather removal, lightweight networks for solar panel fault detection, and novel entropy models for thermal imaging. Collaborations span medical diagnostics, cybersecurity, and energy systems, reflecting interdisciplinary impact. Grants and Collaborations: While specific grants are not detailed, his extensive publication record suggests active research funding in areas like computer vision and quantum information processing. Collaborators include institutions globally, emphasizing translational research. Labs/Teams: Not explicitly mentioned, but his work implies involvement in imaging and machine learning research groups focused on practical solutions for real-world challenges.

Hassam Nasarullah Chaudhryمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Heat Transfer
• Natural Ventilation
• +۶ مورد دیگر

Dr. Hassam Nasarullah Chaudhry is an Associate Professor and Director of Studies (Dubai) for Architectural Engineering at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society. He holds a PhD from the University of Leeds (2013) and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy. His research focuses on sustainable engineering systems, heat transfer, natural ventilation, and passive cooling, with a particular emphasis on wind-driven energy and building aerodynamics. He has led projects such as the 'Urban Heat Island (UHI) effect in Dubai' funded by RCUK, and holds a UK patent for a 'Passive Cooling System for Wind Tower' (2015). His expertise includes computational fluid dynamics (CFD), thermal modeling, and low-speed wind tunnel design. He serves as Associate Editor for the International Journal of Ventilation and reviews for journals like Applied Energy and Energy and Buildings . His work contributes to UN Sustainable Development Goals related to sustainable cities and climate action. Education: PhD in Building Services Engineering (University of Leeds, 2013) Patents: PCT/GB2014/052263 (Passive Cooling System) Awards: Excellence in Engineering (2009/2010), Feedback Award (2017) Research Trends: Recent articles emphasize carbon-energy nexus in construction, photovoltaic cooling solutions, and occupant-centric building systems. His work bridges traditional and modern passive cooling techniques, with applications in hot climates like the UAE. Advising & Grants: Actively supervises PhD students and has secured grants for UHI research. Collaborates on wind tunnel facilities for teaching/research and serves on editorial boards for energy journals. Labs/Teams: Leads research in low-speed closed-loop wind tunnel facilities and sustainable built environment design teams.

Tadhg O'Donovanمشاهده پروفایل

استاد

• Green Technology
• Solar Energy
• Renewable Energy Systems
• +۳ مورد دیگر

Professor Tadhg O’Donovan is the Chief Scientist and Deputy Vice Principal (Academic Leadership) at Heriot-Watt University’s Dubai Campus, holding a Professorship in Mechanical Engineering. He earned a BSc (2001) and PhD (2005) from Trinity College Dublin, followed by roles as a Postdoctoral Research Fellow and Lecturer at Trinity before joining Heriot-Watt in 2007. He advanced to Associate Professor (2015) and Professor (2019), while leading the School of Engineering & Physical Sciences (Dubai) since 2018 and the Institute of Mechanical, Process, and Energy Engineering since 2021. Education: Bachelor’s in Mechanical & Manufacturing Engineering, Trinity College Dublin (2001) PhD, Trinity College Dublin (2005) His research focuses on Green Technology , particularly solar energy conversion, storage systems, and phase change materials . He emphasizes techno-economic approaches for renewable energy components, securing over £4M in grants as PI/Co-I, including Energy Catalyst and Knowledge Transfer Partnership projects. He established Renewable Energy Test Sites in Edinburgh and Dubai to optimize solar technologies under varied climatic conditions. Awards: EUROTHERM Young Scientist Award (2008) Grants & Collaboration: Secured £4M+ in research grants Industry partnerships for renewable energy systems Labs & Facilities: Manages the Renewable Energy Test Site, supporting solar device testing and renewable system optimization. Active in outreach, such as the 2015 'I'm an Engineer' Energy Zone event.

Jonathan Portesمشاهده پروفایل

استاد

• Brexit
• Immigration
• Labour Markets
• +۴ مورد دیگر

Professor Jonathan Portes is a Professor of Economics and Public Policy at King's College London's Department of Political Economy within the Faculty of Social Science & Public Policy. His research focuses on Brexit, immigration, labour markets, welfare, and fiscal policy. He is a Senior Fellow at the UK in a Changing Europe initiative, analyzing UK-EU relations. Previously, he held roles at HM Treasury, the Department for Work and Pensions, and the Cabinet Office, contributing to economic policy during the financial crisis and G20 London Summit. He has authored a book on 'Capitalism' and frequently publishes in peer-reviewed journals, media outlets, and testifies before parliamentary committees. Research interests include the economic implications of Brexit, immigration's impact on productivity, and welfare reforms. His work often bridges academic analysis and public policy, addressing topics like post-Brexit migration systems, child benefit policies, and refugee integration. He leads projects funded by the ESRC, including studies on Hong Kong BNO migrants, post-pandemic labour markets, and fertility impacts of welfare policies. Notable contributions include impact case studies on improving economic data accuracy and analyzing the unintended consequences of post-Brexit immigration changes. He advises the Office for National Statistics and engages in public discourse on topics like Trump's victory's implications and pandemic economic recovery. His research emphasizes evidence-based policymaking and the societal shifts driven by migration and global events. Grants and projects include the ESRC-funded 'Hong Kong BNO migrants panel survey' and collaborations on UK-Japan post-pandemic labour markets. His work is disseminated through peer-reviewed articles, policy reports, and media commentary, reflecting his dual role as an academic and public intellectual.

Sergio Ocampo Diazمشاهده پروفایل

استادیار

• Macroeconomic Theory
• Heterogeneous Agent Macroeconomics
• Wealth Taxation
• +۱ مورد دیگر

Sergio Ocampo Diaz is an Assistant Professor in the Department of Economics at the University of Western Ontario. His research examines macroeconomic theory with emphasis on heterogeneous agent modeling and wealth distribution dynamics. Recent publications analyze income risk patterns, technology scalability, and minimum wage policy interactions. Current projects investigate wealth mobility lifecycle dynamics and monopsony power effects on monetary policy transmission.

Elisa Cavatortaمشاهده پروفایل

استاد

• Conflict Studies
• Development Economics
• Public Policy Evaluation
• +۳ مورد دیگر

Elisa Cavatorta is a Professor of Economics and Vice Dean (International) at King's College London's Faculty of Social Science and Public Policy. She leads international academic partnerships, oversees global initiatives, and teaches in the Department of Political Economy. Previously, she held postdoctoral roles at SOAS and the Institute for Fiscal Studies after earning her PhD in Economics from Birkbeck, University of London. Her research focuses on conflict dynamics, preference formation under violence, and policy evaluation. Methodologically, she employs experimental economics, RCTs, and machine learning. Key areas include Middle Eastern conflict resolution, healthcare access barriers, and behavioral responses to violence. She has secured funding from the Qatar National Research Foundation, Emirates Foundation, and AXA Research Fund. As Vice Dean, she manages international collaborations, oversees student mobility programs, and administers global partnership agreements. Notable initiatives include dual-degree programs and cross-university research competitions. Key Research Themes: Conflict Economics, Behavioral Public Policy, Development Interventions Regional Expertise: Middle East, South Asia Her recent work explores peace agreement preferences among Israelis/Palestinians and the cognitive impacts of digital anxiety treatments. She co-leads King's Virtual Reality Lab for mental health innovation and chairs the Political Economy of Peace research group.

• Marketing
• Social Influence
• Network Science
• +۷ مورد دیگر

Sebastiano Delre is an Associate Professor in the Department of Marketing, Sales, & Branding at MBS Education. His research focuses on social influence mechanisms, network science, and innovation diffusion in marketing contexts, with a particular emphasis on shared consumption behaviors, agent-based modeling, and big data analysis. Methodologically, he bridges social science, statistics, and computer science to study marketing dynamics. His work examines topics such as strategic budget choices in the motion picture industry, brand personality impacts on equity over time, and the temporal dynamics of electronic word-of-mouth on movie box office performance. Recent studies include investigations into how internships foster innovation and frugal behavior among students. Delre's research has been published in prestigious journals like the Journal of Industrial Economics , Journal of the Academy of Marketing Science , and Journal of Marketing Research . His approach combines rigorous quantitative methods with practical insights, aiming to uncover how consumer decisions and social interactions shape market outcomes. Despite no explicitly listed awards, his prolific publication record reflects his scholarly contributions. While no formal advising or grant details are provided, his work consistently addresses applied marketing challenges through computational simulations and longitudinal data analysis.

Alberto Franceschiniمشاهده پروفایل

استاد

• Cosmology
• High-Energy Astrophysics
• Galactic Astronomy
• +۴ مورد دیگر

Alberto Franceschini is a Full Professor at the University of Padua , specializing in cosmology and high-energy astrophysics. He is affiliated with CISAS (Center for Studies and Activities for Space) and has held leadership roles in international astronomical collaborations, including the INAF Working Group on Active Galaxies and Quasars. His career spans decades of contributions to space astronomy missions such as ISO, Spitzer, Herschel, and Planck. Positions include Team Scientist roles for VLT instruments (VISIR, SINFONI) and PI for XMM and ISO surveys of high-redshift galaxies. Former member of ESA's Astronomy Working Group and ESO's Observing Program Committee, Cosmology panel. Research Interests : Franceschini's work focuses on galaxy evolution, cosmic background radiation, and statistical techniques for astronomical data analysis. Key projects include deep cosmological surveys, extragalactic X-ray studies, and infrared spectroscopy of high-redshift galaxies. His expertise extends to multi-wavelength observations (radio to X-ray) and luminosity function modeling in cosmological surveys. Awards and Memberships : 2009 - Elected member of the Italian National Galilean Academy 1990 - International Astronomical Union membership 1983 - Italian Astronomical Society membership Leadership and Collaborations : He has chaired Padova University's Degree Courses in Astronomy (2002-2009) and contributed to strategic planning as a consultant for INAF. Major collaborations include NASA/ESA projects (JWST, SWIRE, COSMOS) and leadership in the EC TMR Network POE. Franceschini also served on ESO committees for observatory time allocation and instrumentation.

Aureo de Paulaمشاهده پروفایل

استاد

• Econometrics
• Applied Economics
• Network Formation
• +۴ مورد دیگر

Aureo de Paula is a Professor of Economics at University College London (UCL), Department of Economics. He holds positions at several prestigious research institutions including the Centre for Microdata Methods and Practice (UK), the Institute for Fiscal Studies (UK), and CEPR. He is an elected Fellow of the Econometric Society and the International Association for Applied Econometrics, and a Turing Fellow (2021/23). His educational background includes: B.A. and M.Sc. in Economics from Pontificia Universidade Catolica—RJ (Brazil) in 1996 and 2000 M.A. and Ph.D. in Economics at Princeton University in 2002 and 2006 Aureo de Paula is an applied econometrician whose research focuses on the intersection of applied economic theory, econometrics and empirical microeconomics. His work spans methodological questions like the identification and estimation of multi-agent models, and empirical applications, mostly problems in developing nations and industrial organisation. His recent publications demonstrate expertise in network formation, environmental economics, health economics, and econometric methodology. His research has been featured in prominent media outlets including The Times, The Daily Mail, Economics Observatory, WSJ, and Chicago Booth Review. Professor de Paula has held significant editorial positions, including: Co-editor at the Journal of Econometrics (since 2023) Director for the Review of Economic Studies (2020-2023) Associate editor for The Review of Economic Studies, Journal of Business and Economic Statistics, Econometrics Journal, Econometric Reviews, and the Journal of Econometrics His scientific awards and recognitions include: Elected Fellow of the Econometric Society Elected Fellow of the International Association for Applied Econometrics Irving B. Kravis Award for Excellence in Undergraduate Teaching at the University of Pennsylvania Faculty Education Award at UCL (joint with Dunli Li) ERC Starting Grant (2013) Turing Fellow (2021/23) Professor de Paula serves in important leadership roles, including as an elected member of the Econometric Society Council and as chair of its Latin America Regional Standing Committee from 2022 until 2025. His research has been supported by various grants, including the ERC Starting Grant, and he has collaborated with institutions like the Office for National Statistics and The Alan Turing Institute.

Mia Zhuمشاهده پروفایل

استادیار

• Employee Well-being
• Work Stress Recovery
• Work-Life Balance
• +۳ مورد دیگر

Dr. Mia Zhu is an Assistant Professor in the Industrial and Organizational Psychology program at Texas A&M University. She holds a Ph.D. in Industrial and Organizational Psychology from George Mason University. Her research focuses on employee well-being, work stress recovery, work-life balance, and innovative research methods such as just-in-time adaptive interventions (JITAI). She leads the Recovery from Work Stress (REST) Lab at TAMU, which explores methodological advancements in I/O psychology and practical solutions for workplace well-being. Dr. Zhu’s educational background includes a Ph.D. from George Mason University, emphasizing applied research in organizational behavior and psychological well-being. She is affiliated with professional organizations like the Society for Industrial and Organizational Psychology (SIOP), Academy of Management (AOM), and the American Psychological Association (APA). Her research interests span cognitive reappraisal interventions, resilience in work environments, and the role of supervisors in facilitating recovery. Key themes include leveraging technology for real-time interventions and understanding the psychological mechanisms behind work-leisure interactions. Recent studies highlight the impact of work breaks, telework dynamics, and the relationship between sleep and counterproductive work behavior. Dr. Zhu’s scholarly contributions include over 15 peer-reviewed articles, with a focus on methodological rigor and practical applicability. She actively mentors graduate students (accepting applications for 2025-2026) and collaborates on grants exploring workplace interventions and recovery strategies. The REST Lab serves as a hub for interdisciplinary research, emphasizing collaboration and evidence-based solutions.

• Efficiency and Productivity Analysis
• Sustainability
• Environmental and Social Performance
• +۳ مورد دیگر

Dr. Amir Moradi is a Senior Lecturer in Accounting at the School of Business, Law and Entrepreneurship, Swinburne University of Technology. He holds a PhD in Engineering from the same institution and specializes in efficiency and productivity analysis, sustainability, and environmental/social performance. His research spans sectors like universities, banking, and mining, with publications in high-impact Q1/Q2 journals such as Annals of Operations Research and Economic Modelling . Education: PhD in Engineering (Swinburne University of Technology), focused on mathematical and modeling techniques for efficiency analysis. Research interests include: Efficiency analysis of public and private sectors Sustainability and environmental performance metrics Banking and financial sector efficiency Integrated reporting and corporate governance Key research trends in his articles focus on: Quantifying impacts of carbon pricing and climate policies Methodological advancements in data envelopment analysis (DEA) Post-GFC banking efficiency and risk management Superannuation withdrawal effects on retirement savings Grants include funding from AFAANZ and Swinburne for projects on ESG integration in portfolios, integrated reporting impacts, and Malaysian corporate efficiency. He has supervised numerous PhD/Master’s candidates on topics like banking performance in Vietnam, airline inefficiency drivers, and renewable energy policy.

Jason Kautzمشاهده پروفایل

استادیار

• Organizational Behavior
• Workplace Trust
• Counterproductive Work Behavior
• +۴ مورد دیگر

Jason Kautz is an Assistant Professor in the Department of Organizations, Strategy and International Management at the Naveen Jindal School of Management, The University of Texas at Dallas, where he joined in fall 2020. His research focuses on social dynamics at work, including trust, counterproductive workplace behaviors, and social undermining, with methodological expertise in multilevel modeling and growth modeling. Education: PhD, University of South Carolina, 2020 MBA, Canisius College, 2013 BS, Canisius College, 2012 Dr. Kautz's research centers on understanding social dynamics in the workplace. He investigates the reciprocal relationship between employees and customers, the dynamic growth of trust at work, and the enactment of counterproductive workplace behaviors and social undermining. His methodological expertise includes multilevel theory and random-coefficient modeling, with a specific focus on growth modeling. This work contributes to the fields of organizational behavior and human resource management. His recent publications (2021-2025) reveal a strong focus on pay-related topics (e.g., pay equity, transparency, and education) and trust dynamics. Additionally, he has applied his expertise in multilevel modeling to military contexts, examining mental health trajectories and the effects of combat exposure. His work often employs longitudinal and multi-wave designs, reflecting his methodological strengths. Scientific Awards: None mentioned in the provided materials. Dr. Kautz teaches courses including OBHR 3330 Introduction to Human Resource Management. While specific grant information is not provided, his research on workplace dynamics and pay systems suggests active involvement in academic research. He has not listed any advisees in the provided information. There is no information available about labs or research teams led by Dr. Kautz in the provided materials.