جست‌وجوی استاد و پژوهشگر

Pavel Efrosمشاهده پروفایل

پژوهشگر

• Data Compression
• Smart Grid
• Machine Learning
• +۳ مورد دیگر

Dr. Pavel Efros is a researcher affiliated with the IPD Böhm team at the Karlsruhe Institute of Technology (KIT) . His work focuses on data compression, change detection, smart-grid applications, and energy consumption analysis, often in collaboration with Prof. Klemens Böhm and other researchers. Fields of Interest : Data Compression, Smart Grid, Machine Learning, Energy Consumption, Databases, Computer Science His publications highlight interdisciplinary research spanning data analysis, energy systems, and statistical modeling. Notable works include contributions to database management (SSDBM 2015), time-series compression for smart grids (VLDB Journal 2015), correlation analysis in machine learning (ICML 2014), and energy estimation frameworks (CBI 2014). While the specific subfields of his work include topics like pattern recognition, resource management, and environmental informatics, the provided text does not mention scientific awards or student advising activities. He is associated with the IPD Böhm research group, which is part of the broader academic ecosystem at KIT.

Evelien Mertensمشاهده پروفایل

پژوهشگر

• Nutrition
• Dietetics
• Plant-based Diets
• +۷ مورد دیگر

Evelien Mertens is an unpaid researcher at the Faculty of Movement and Sports Sciences at Vrije Universiteit Brussel, specializing in Movement and Nutrition for Health and Performance. She also holds an external position as a nutrition and dietetics researcher at College Brussels. Her research spans multiple interdisciplinary areas connecting nutrition science with health outcomes, physical activity, and chronic conditions. Dr. Mertens' research interests focus on plant-based nutrition, lipid metabolism, dietary patterns including Mediterranean and vegetarian diets, and the relationship between nutrition and chronic pain conditions. Her work frequently examines how dietary factors influence metabolic health, pain sensitivity, and cardiovascular risk factors in various populations, with particular attention to Flemish adults through longitudinal study designs. Her recent publications demonstrate a strong focus on the intersection of nutrition science and pain management, particularly examining how dietary carbohydrates and inflammatory foods affect chronic low back pain. She has also conducted significant longitudinal research on plant-based diets and their associations with anthropometric parameters and blood lipids in adult populations. Her work often employs rigorous methodologies including randomized controlled trials and case-control studies. Active participant in the IOF3029: Huis van Duurzame Transities project (2024-2028) Extensive media engagement regarding nutrition research, particularly on weight gain during pandemic lockdowns Regular presenter at conferences and workshops on plant-based nutrition topics Dr. Mertens has supervised multiple master's theses on topics related to physical health, mental health, and nutritional intake among Flemish adults. Her research activities extend beyond traditional academic boundaries through significant public engagement, with numerous media appearances discussing research findings related to nutrition, diet, and public health.

• Logistics
• Sustainable Urban Transportation
• Electric Vehicles
• +۵ مورد دیگر

Philippe Lebeau serves as a Postdoctoral Researcher at the House of Sustainable Transitions within the Faculty of Economic and Social Sciences and Solvay Business School at Vrije Universiteit Brussel. His work focuses on sustainable urban logistics systems, particularly last-mile delivery solutions and electric vehicle integration in freight transport. He actively contributes to major European research initiatives including the Green Deal-aligned SUPPORT FOR LOW-EMISSION URBAN LOGISTICS and CodeZERO projects. His research spans sustainable logistics, electric vehicle adoption, e-commerce delivery systems, and urban freight policy. Lebeau employs multi-actor decision-making frameworks like MAMCA to analyze stakeholder perspectives on green logistics solutions. His work bridges academic research with practical urban mobility challenges, particularly focusing on consumer behavior in last-mile delivery systems and the decarbonization potential of cargo bikes and autonomous delivery robots. Lebeau's recent publications demonstrate strong trends in sustainable urban logistics innovation, with significant emphasis on zero-emission delivery solutions, consumer preference analysis, and the application of behavioral frameworks to logistics challenges. His work increasingly integrates e-commerce dynamics with sustainable transportation solutions, highlighting the complex interplay between consumer expectations and environmental goals in modern delivery systems. As a PhD committee member and master's thesis supervisor, Lebeau has guided numerous students through research on urban logistics topics including Ecozone acceptance, cargo bike implementation, and sustainable e-commerce practices. His collaborative research projects have secured substantial funding from European Union programs focused on green urban mobility solutions. Lebeau leads research within the House of Sustainable Transitions, working with interdisciplinary teams on projects addressing urban freight decarbonization. His work connects VUB researchers with industry stakeholders, policymakers, and community groups to develop practical solutions for sustainable urban logistics challenges, particularly focusing on the Brussels metropolitan area as a living laboratory for green delivery innovations.

Susanna B. Berkouwerمشاهده پروفایل

استادیار

• Development economics
• Energy and environmental economics
• Political economy
• +۳ مورد دیگر

Susanna B. Berkouwer is an Assistant Professor of Business Economics and Public Policy at the Wharton School , University of Pennsylvania. Their research focuses on development economics and environmental economics, particularly examining energy efficiency adoption, electricity grid reliability, and air pollution from energy usage. Affiliated with Wharton’s Climate Center, Analytics at Wharton, the Penn Environmental Innovations Initiative, and the Penn Development Research Initiative, they hold a PhD from UC Berkeley and an MA from Yale University. Education: PhD in Economics, UC Berkeley MA in Economics, Yale University Research spans experimental and non-experimental applied econometrics, addressing topics like barriers to adopting profitable energy-efficient technologies in Kenya, regressive design of electricity relief programs in Ghana, and temperature-driven household energy demand in South Africa. Their work highlights intersections between climate policy, economic development, and behavioral economics. Recent publications analyze credit constraints in technology adoption, temperature impacts on electricity use, and interdisciplinary approaches to measuring grid reliability. Articles demonstrate a focus on scalable solutions for low-income contexts and policy design for sustainable development. Scientific Recognition: NBER Faculty Research Fellow (Development Economics, Environment and Energy) Associate Editor, Journal of Development Economics They co-organize the Development Economics seminar, Energy Economics and Finance seminar, and Applied Economics Workshop at Penn, teaching Microeconomics for Managers in the Wharton MBA program. Pronouns: they/them.

Marta Kolářováمشاهده پروفایل

دانشیار

• Gender Studies
• Environmental Sociology
• Social Movements
• +۴ مورد دیگر

doc. PhDr. Marta Kolářová, Ph.D., is an Associate Professor in the Department of Sociology at the Faculty of Humanities, Charles University in Prague. Her work bridges environmental sociology, gender studies, and social movements, with a focus on sustainable lifestyles and grassroots activism in Central Europe. Education: 2025: Associate Professor in Social and Cultural Anthropology, Faculty of Humanities, Charles University PhD in Sociology, Faculty of Social Sciences, Charles University MA in Sociology (Social Anthropology), Charles University 2005–2006: Fulbright Scholarship in Gender Studies, Rutgers University 2003: Socrates Erasmus in Gender Studies, University of Sussex Her research explores intersections of gender, climate policy, and eco-domesticity, with fieldwork on permaculture communities and Czech youth subcultures. Recent publications analyze public resistance to climate policies, feminist critiques of globalization, and the role of alternative media in social movements. Scientific awards include the Fulbright Scholarship and Socrates Erasmus. She has been an editor-in-chief of Socioweb and a member of the Czech Sociological Association since 2004.

• Applied IoT
• Edge-Cloud Computing
• Distributed Systems
• +۴ مورد دیگر

Neda Maleki is a Senior Lecturer at the Faculty of Technology, Department of Computer Science and Media Technology, Linnaeus University, starting in September 2024. Her research focuses on Applied IoT, Edge-Cloud Computing, Distributed Systems (Hadoop/Spark), Artificial Intelligence, and Machine Learning for data analysis. PhD in Computer Engineering (2014–2021), Science and Research Branch of Islamic Azad University, Tehran, Iran Master of Science in Computer Engineering (2009–2013), Ghazvin Islamic Azad University Bachelor of Science in Hardware Engineering (2004–2008), Ghazvin Islamic Azad University Her research explores IoT applications in energy forecasting, environmental conservation, and SME digital transformation. Key contributions include frameworks for power-aware Hadoop acceleration, energy-efficient IoT data formats, and predictive models for fuel consumption and city load forecasting. Recent publications highlight collaborations with industry partners in Sweden and international conferences across Qatar, Italy, Denmark, and the Netherlands. She teaches courses in Data Structures, Algorithms, IoT, and programming at the bachelor's and master's levels. 1DV018: Data Structures and Algorithms 1DV501: Introduction to Programming 4DV119: Applied IoT Competence (Master level) Final Thesis supervision

• Building Energy Modeling
• Artificial Intelligence in Architecture
• Sustainable Architecture
• +۶ مورد دیگر

Carlos Fernández Bandera is a Part-Time Lecturer at the University of Navarra , affiliated with the Institute of Biodiversity and Environment (BIOMA) and the SAVIArquitectura Sostenibilidad Ambiental Vivienda Industrialización y Arquitectura research group. His work focuses on building energy modeling, artificial intelligence in architectural design, and sustainable decarbonization strategies. Education: PhD in Architecture, University of Navarra (2016), thesis: "Artificial intelligence as inspiration for generating and designing building thermal models" Research Interests: Carlos specializes in building energy modeling and model calibration methodologies, leveraging artificial intelligence to optimize thermal performance. His work addresses photovoltaic self-consumption , air infiltration validation , and circular economy applications in construction. He investigates digital twin technologies for teaching and designing sustainable buildings. Publication Trends: His recent articles (2025–2024) emphasize HVAC optimization , 3D element interoperability between BIM and BEM, and climate-specific calibration for Mediterranean and high-rise contexts. He explores renewable energy integration and circular economy in food sector sustainability. Correspondence: Email: cfbandera@unav.es

Diego Maza Ozcoidiمشاهده پروفایل

استاد

• Nonlinear Systems
• Granular Media
• Experimental Physics
• +۷ مورد دیگر

Diego Maza Ozcoidi is a Professor at the Department of Physics and Applied Mathematics within the College of Sciences at the University of Navarra. He serves as Department Director and leads outreach efforts at the National Distance Education University (UNED). Over the past 30 years, he has pioneered experimental research on nonlinear systems and granular media at UNAV, collaborating extensively with industrial partners like Magnesitas Navarra, LKS Engineering, and Volkswagen Navarra. PhD in Physics (University of Navarra, 1996) His research focuses on space-temporal pattern dynamics , microscopic-macroscopic interactions in granular materials , and applications to living matter and pedestrian dynamics . Current projects include a European Spatial Agency initiative culminating in an International Space Station experiment after 20 years of work. Notable collaborations and projects include: Energy consumption optimization for raw material processing (Magnesitas Navarra) Low-impact mining exploitation (LKS Engineering) Open innovation partnerships with Volkswagen Navarra Founding director of the Granular Media Laboratory Through GEFENOL (Royal Spanish Physical Society), he has organized 10 editions of the International School on Complex Systems. He has supervised 12 doctoral theses and contributed to global training networks at postgraduate and undergraduate levels.

Stephanie Forrestمشاهده پروفایل

استاد

• Computational Immunology
• Computer Security
• Automated Program Repair
• +۵ مورد دیگر

Dr. Stephanie Forrest is a Professor at Arizona State University's School of Computing and Augmented Intelligence (SCAI) and serves as Director of the Biodesign Center for Biocomputation, Security and Society . She is also affiliated with the Santa Fe Institute (SFI) as External Faculty and the ASU-SFI Fellowship . Education: B.A. from St. John's College and M.S./Ph.D. in Computer Science from the University of Michigan. Her research spans the biology of computation and computation in biology , including computational immunology , cybersecurity , automated software repair , evolutionary computation , and complex systems . Recent work focuses on GPU code optimization , malware analysis , and privacy-preserving wastewater epidemiology . Her publications (15 most recent) reveal trends in evolutionary algorithms for software repair, cybersecurity frameworks inspired by biological systems, and high-performance computing applications in epidemiology and genetics. Awards include IEEE S&P Test of Time (2020) , ACM/AAAI Allen Newell (2011) , and ICSE Most Influential Paper (2019) . Cybersecurity: Developed anomaly detection, instruction-set randomization, and CRISPR-inspired DoS mitigation. Software Repair: Pioneered biologically inspired methods for bug fixing, vulnerability closure, and energy optimization. Biological Modeling: Agent-based simulations of SARS-CoV-2 spread, cancer evolution, and immune system dynamics.

Konrad Wojdanمشاهده پروفایل

مدرس

• Artificial Intelligence
• Optimization Algorithms
• Energy Systems
• +۵ مورد دیگر

Konrad Wojdan is a Lecturer at the Institute of Heat Engineering within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His research spans interdisciplinary applications of artificial intelligence, with particular expertise in optimization algorithms for energy systems and medical diagnostics. He maintains an active research program with publications extending into 2025, demonstrating ongoing scholarly contributions in both engineering and medical fields. Dr. Wojdan's research interests focus on developing and applying Artificial Intelligence and optimization algorithms in energy, heating and gas sectors, with significant contributions to district heating network optimization and combustion process control. His work also extends to medical applications, particularly in analyzing neurological conditions like tuberous sclerosis complex using advanced data science methods. This unique interdisciplinary approach bridges engineering and medical research, creating novel methodologies applicable across domains. Analysis of his recent publications reveals a consistent pattern of applying immune-inspired optimization techniques to complex engineering problems, while simultaneously developing AI-based diagnostic tools for medical applications. His work on district heating networks demonstrates practical implementation of AI for energy efficiency, while his medical research contributes to early diagnosis and intervention strategies for neurological conditions in infants. Active researcher with publications through 2025 Interdisciplinary work spanning energy engineering and medical diagnostics Specialized in immune-inspired optimization algorithms Develops practical AI applications for district heating systems Dr. Wojdan supervises diploma theses focused on Data Science methods in energy, heating and gas industries, requiring students to develop programming skills in Python, R, or Julia. His teaching emphasizes the practical application of computational methods to real-world engineering challenges, preparing students for careers at the intersection of traditional engineering and modern computational techniques.

• Machine Learning
• Data Analysis
• Predictive Modeling
• +۴ مورد دیگر

Rikard König is an Associate Professor at the University of Borås, Faculty of Librarianship, Information, Education and IT, Department of Information Technology. His research focuses on finding stories and connections hidden in large datasets, with specialization in machine learning, data analysis, and predictive modeling techniques. Dr. König's research interests include: Machine Learning and Predictive Analysis Genetic Programming and Rule Extraction Data Stream Mining and Real-time Analytics Sports Analytics, particularly Golf Swing Analysis Retail Analytics and Customer Understanding Model Interpretability and Constraint-based Learning His work demonstrates a consistent theme of developing machine learning tools that balance accuracy with interpretability while incorporating domain-specific constraints. His publications reveal a diverse application portfolio including golf swing analysis using radar data, fuel consumption modeling in trucks, and sales forecasting in the apparel industry. This cross-domain applicability highlights the generalizability of his research approaches. Dr. König has led and participated in several significant research projects including Big Data Analytics by Online Ensemble Learning (BOEL) and Golf data analysis (GOATS), funded by the Knowledge Foundation. His work often involves collaboration with industry partners, particularly in the automotive and sports technology sectors. His research methodology emphasizes creating models that adhere to domain expert constraints while maintaining predictive performance, as demonstrated in his 2015 paper on regression trees with variable restrictions that was validated in both golf instruction and truck fuel consumption contexts.

Navid Haghdadiمشاهده پروفایل

پژوهشگر ارشد

• Photovoltaics
• Renewable Energy
• Electricity Markets
• +۳ مورد دیگر

Dr Navid Haghdadi is an ACAP Research Fellow at the Centre for Energy and Environmental Markets (CEEM) within the School of Photovoltaic and Renewable Energy Engineering at the University of New South Wales (UNSW), and serves as a Solar Data Analyst at the Australian PV Institute (APVI). His work focuses on data-driven analysis of renewable energy integration, particularly photovoltaics, and electricity market design. His educational background includes: PhD in Photovoltaic and Renewable Energy Engineering from UNSW Master of Science in Electrical Engineering (Power Systems) from the University of Tehran Bachelor of Science in Electrical Engineering from the University of Tehran Navid's research centers on photovoltaics and distributed generation, applying data analysis and pattern recognition to investigate technical and economic impacts of solar energy on electricity networks. He specializes in designing cost-reflective electricity tariffs and analyzing consumer behavior in response to market structures. His methodology emphasizes large-scale dataset analysis from distributed energy resources and national electricity markets. His publications over the past five years reveal consistent focus on electricity market design, distributed PV integration, and data-driven energy system analysis. Key trends include grid stability under high renewable penetration, tariff structure optimization, and open-source tool development for market analysis—demonstrating practical applications for policy formulation. Navid Haghdadi's advising and grant activities are not publicly detailed in available sources. He actively contributes to CEEM's research ecosystem, developing critical tools like NEMOSIS (NEM Open Source Information Service) and the Tariff Design and Analysis Tool. His workshop leadership—including the 2019 Tariff Design Workshop at UNSW CBD Campus and 2018 CEEM Distributed Energy Tools workshops—highlights his role in bridging academic research with industry implementation for Australia's energy transition.

• Urban Economics
• Real Estate
• Housing Market Capitalization
• +۴ مورد دیگر

Oskari Harjunen is an Assistant Professor at the Department of Built Environment , School of Engineering , Aalto University . His research focuses on urban economics , real estate , housing market capitalization , and public policy . Research Interests Agglomeration effects on productivity Housing transfer taxes and market behavior Municipal mergers and political representation School quality capitalization in housing prices Green building economics Urban sprawl and jurisdictional fragmentation Article Trends Dr. Harjunen’s work systematically examines how urban policies (e.g., housing taxes, land allocation) interact with market dynamics and social outcomes . Recent publications (2024) emphasize agglomeration productivity and residential segregation , while earlier studies (2023–2021) address housing supply shocks , municipal governance , and taxation impacts . His 2016–2015 studies focus on environmental signaling and green clientele effects in housing markets. Research Groups He is affiliated with the Real Estate research group at Aalto University, contributing to studies on urban development and housing policy.

Maninder Singh Dhillonمشاهده پروفایل

پژوهشگر

• Agricultural remote sensing
• Crop yield modeling
• Land-use diversity
• +۶ مورد دیگر

Dr. Maninder Singh Dhillon is a Postdoctoral Researcher at the Department of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg (Germany). Since March 2024, he leads the 'Biodiversity' work package in the EO4CAM project, continuing his academic career at the same institution where he completed his PhD (2019-2023) with the thesis 'Potential of Remote Sensing in Modeling Long-Term Crop Yields'. His previous roles include scientific employee (2023-2024), PhD student (2019-2023), and research assistant (2018-2019) at the University of Wuerzburg's Remote Sensing Department. Education: M.Sc. in Earth Observation and Geoanalysis (EAGLE) from University of Wuerzburg (2016-2019), with thesis on crop growth models using synthetic remote sensing data Professional Experience: Internship at German Aerospace Center (DLR) in Neustrelitz (2018) and research assistant role at Punjab Remote Sensing Center (2015-2016) Dr. Dhillon's research focuses on agricultural remote sensing applications, particularly: Crop yield modeling through multi-sensor data fusion (MODIS, Landsat, Sentinel-2) Biodiversity analysis in agricultural ecosystems Land-use diversity impacts on crop biomass Climate variability and soil quality interactions Sustainable agriculture through precision farming technologies Carbon emissions assessment in groundwater irrigation systems His publication record (2018-present) shows expertise in: STARFM data fusion algorithms for NDVI time-series Machine learning integration with crop models Environmental monitoring of agroecosystems Water-energy-agriculture nexus analysis Phenological pattern detection in small-scale farming Multiscale biodiversity assessment frameworks

Nicole A. Mathysمشاهده پروفایل

استاد

• Environmental Economics
• Energy Economics
• Transport Economics
• +۳ مورد دیگر

Nicole A. Mathys is a Full Professor at the Institute of Economic Research, University of Neuchâtel, specializing in environmental, energy, transport, and territorial development economics. She teaches Environmental Economics at the Master's level and conducts research on economic sustainability, policy evaluation, and spatial dynamics. Her academic background includes: BA in Political Economy from the University of Neuchâtel (with Erasmus exchange at the University of East Anglia, UK) PhD in Economics from the University of Lausanne (2007), dissertation: "Five Essays in Trade and the Environment and Economic Geography" Professor Mathys' research centers on carbon taxation, waste management, transportation behavior, and energy transitions using empirical and spatial analysis methods. Her work connects economic activity with environmental outcomes, emphasizing Swiss policy contexts while contributing to global debates on trade and environment. Recent publications reveal a strong focus on transportation systems and energy transitions, analyzing travel behavior, carbon pricing mechanisms, and long-term scenarios for Swiss decarbonization. Key themes include policy instrument effectiveness, behavioral responses to environmental regulations, and spatial distribution of economic activities. Scientific awards: None mentioned in the provided text. She has led major research initiatives including the "Energy-Economy-Society" program at the Swiss Federal Office of Energy and currently coordinates research and innovation at the Federal Office for Spatial Development, bridging academic research with practical policy application. As head of the Bases section at the Swiss Federal Office for Spatial Development, she leads a team developing spatial development statistics and economic analyses, serving as the office's competence center for economic research and evaluation.