جست‌وجوی استاد و پژوهشگر

• Urban Building Energy Modelling
• Decarbonisation Pathways
• Uncertainty and Sensitivity Analysis
• +۶ مورد دیگر

Dr. Pamela Fennell is a Lecturer in Urban Energy Modelling at the Bartlett School of Environment, Energy & Resources, University College London (UCL). With a PhD in Building Energy Modelling from UCL (2018) and expertise spanning civil engineering, architecture, and policy, she leads high-impact research projects like UBASE, CITES, and ConceptIM while co-investigating the GEMDev initiative. As Deputy Director of UCL’s MSc in Smart Energy and the Built Environment, she teaches advanced modules on urban energy systems. Education: PhD (Building Energy Modelling), UCL (2018) MRes (Energy Demand Studies), UCL (2014) MBA, Imperial College (2007) MA and BA in Architecture, University of Cambridge (2000, 1997) Her research focuses on integrating real-world urban data with high-resolution dynamic simulations to address energy poverty in the Global South. She specializes in uncertainty analysis for large-scale models and develops open-source tools like her QGIS plugin to democratize access to urban energy modeling. Her work has been cited in policy frameworks such as Da Nang City’s Climate Action Plan. Recent publications analyze thermal comfort in Peruvian informal settlements, retrofit optimization methodologies, and non-domestic building stock modeling. Her projects combine technical rigor with social equity concerns, particularly in South-North research collaborations. She chairs the education committee of IBPSA and leads UCL’s Energy and Development Group.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

• Football
• Tennis
• Nature Sports

Dr. Öğr. Üyesi Aydın Karabulak , currently lecturing at the Department of Physical Education and Sports within Süleyman Demirel University's Faculty of Sports Sciences , combines academic rigor with practical football coaching expertise. Holding a PhD in Physical Education and Sports Teaching from Burdur Mehmet Akif Ersoy University (2022), he has authored research on football-specific training, physical performance metrics, and health-sports intersections. Education: Pre-Degree: Akdeniz University - Machine Drawing and Construction (1993) BSc: Akdeniz University - Physical Education and Sports Teaching (1997) MSc: Süleyman Demirel University - Sports Sciences (2013) PhD: Burdur Mehmet Akif Ersoy University - Physical Education and Sports Teaching (2022) Research Focus: Specializing in football performance analysis, Aydın investigates training methodologies (core stability, functional drills), environmental factors (playing surfaces), and health outcomes (nutrition-exercise interactions, pandemic-related activity patterns). His work bridges theoretical sports science with applied coaching practices. Publication Trends: Recent studies emphasize technology integration in sports, injury prevention, and evidence-based training frameworks. Conference presentations explore player psychology, surface adaptation, and recovery protocols, while co-authored books address contemporary issues in sports pedagogy. Professional Engagement: Head of Department, Süleyman Demirel University (2018-2022) Football Coach, Türkiye Futbol Federasyonu (2011-present) Member, TÜFAD (Türkiye Futbol Antrenörler Derneği) (1995-present)

André Nitzeمشاهده پروفایل

استاد

• Internet of Things
• Digital Business Models
• Software Engineering
• +۹ مورد دیگر

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

Carlos Batlleمشاهده پروفایل

دانشیار

• Electricity Market Regulation
• Energy Economics
• End-User Rate Design
• +۷ مورد دیگر

Carlos Batlle is an Associate Professor at Comillas Pontifical University in Madrid. He also serves as a Part-Time Professor at the Florence School of Regulation (FSR) and a Research Affiliate at MIT CEEPR . His academic and professional roles focus on energy economics, regulation of electric power systems, and modeling of electricity markets. Key Affiliations : Comillas Pontifical University (Associate Professor, Institute for Research in Technology) Florence School of Regulation (Part-Time Professor, Training Program for European Energy Regulators) MIT Center for Energy and Environmental Policy Research (CEEPR) (Research Affiliate) Advisory Academic Panel of Ofgem (UK National Regulatory Authority) Research Interests include: Regulation and market design of electric power systems Integration of renewable energy sources Tariff structures and end-user rate design Capacity mechanisms and grid reliability Energy poverty and consumer protection Smart distribution systems and grid modernization Recent Publications highlight trends in electricity market reform, decarbonization strategies, and regulatory frameworks. Key themes include balancing efficiency and equity in residual cost allocation, evolving bidding formats in day-ahead markets, and addressing energy poverty during global crises. His work spans empirical analyses, policy critiques, and taxonomy development for energy systems.

Peyman Afzali Gorouhمشاهده پروفایل

پژوهشگر

• Power Engineering
• Smart Grids
• Renewable Energy Systems
• +۵ مورد دیگر

Peyman Afzali Gorouh is a Postdoctoral Researcher in the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on developing innovative models for energy communities, smart grids, and renewable energy integration. Dr. Afzali's research interests span power engineering, smart grid technologies, renewable energy systems, and energy communities. His work particularly emphasizes prosumer economics, peer-to-peer energy trading, risk modeling in power systems, and energy democracy frameworks. He has developed novel approaches for optimizing energy communities while considering socio-economic-environmental factors, demand response, and uncertainty management. His recent publications (2020-2024) demonstrate a consistent focus on energy community modeling, with particular emphasis on peer-to-peer trading mechanisms, risk-constrained optimization, and multi-objective planning. His work bridges technical power system challenges with socio-economic considerations, creating integrated models that address both engineering and human aspects of modern energy systems. Dr. Afzali maintains an active research profile with numerous publications in high-impact journals including IEEE Transactions on Engineering Management, Energy and Buildings, Applied Sciences, and Sustainable Cities and Society. His research shows strong international collaboration, particularly with researchers from Iranian institutions.

• Energy systems transitions
• Urban energy systems
• Rural electrification
• +۷ مورد دیگر

Erik Ahlgren is Professor of Energy Technology at Chalmers University of Technology, Sweden. His research centres on energy-system transitions across scales, integrating techno-economic and systems-dynamics modelling to address urban and rural energy challenges in both Nordic and East African contexts. Research focus Energy-system transitions connecting technology, economy and environment Urban energy systems and sector coupling Rural electrification and mini-grid planning in East Africa District heating and cooling futures Clean cooking with biogas He leads or co-leads 25 projects funded by the Swedish Energy Agency, Swedish Research Council (VR), SIDA, the EU and other bodies, and collaborates closely with Addis Ababa University, University of Rwanda and Eduardo Mondlane University. Teaching & outreach Responsible for the public digital evening course Climate – the science, measures and policy . Grants & projects Buildings in the integrated energy system (2024–2028, Swedish Energy Agency) A multiperspective analysis of cost-efficient batteries in rural mini-grids (2023–2026, VR) PhD Programme in Electrical Power and Control Engineering with Addis Ababa University (2018–2025, SIDA) BREEMRES – research training partnership programme (2018–2025, SIDA) Flexibility for Smart Urban Energy Systems (FlexSUS, 2019–2024) Collaborations & networks Active in international consortia including the Strategic Research Centre for 4th Generation District Heating (4DH), FutureGas, and numerous East African capacity-building initiatives.

• Environmental Systems Analysis
• Chemical Risk Assessment
• Life Cycle Assessment (LCA)
• +۳ مورد دیگر

Sverker Molander is a Full Professor at the Environmental Systems Analysis group at Chalmers University. His research integrates systems approaches to analyze human-induced environmental change and its mitigation, with a focus on chemical risk assessment, material flows, and renewable energy systems. He actively collaborates with social scientists to examine technology-society-ecosystem interfaces and participates in international programs like Sida's collaboration with Universidade Eduardo Mondlane in Mozambique. SETAC Global Science Committee member Baltic Sea Foundation research delegation Kamprad Family Foundation scientific reviewer His work employs environmental risk assessments, life cycle analyses, and substance flow modeling, particularly examining: Toxicological impacts of nanomaterials Renewable energy environmental interactions Chemical exposure limit inconsistencies Multidisciplinary approaches to sustainability Risk communication in chemical supply chains Climate-chemical pollution intersections Recent publications demonstrate expertise in: Ecotoxicity extrapolation methods Machine learning for toxicity prediction Circular tungsten flows Marine energy collision risks Climate-adapted chemical management His research connects technical systems with societal and ecological considerations, emphasizing indicator development and interdisciplinary collaboration.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +۵ مورد دیگر

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

Franco Mazzeiمشاهده پروفایل

استاد

• Electrochemical biosensors
• Optical biosensors
• Nanotechnology
• +۶ مورد دیگر

Franco Mazzei is a Full Professor at the Department of Chemistry and Pharmacy Technology , Sapienza University of Rome . He leads the Biosensors Laboratory and specializes in electrochemical and optical biosensors for clinical, food, and environmental applications. Research Interests Development of electrochemical biosensors using voltammetric, amperometric, and impedimetric techniques Optical biosensors based on surface plasmon resonance (SPR) and Raman spectroscopy Application of supramolecular chemistry for protein immobilization Study of nanostructured materials and conductive polymers in sensor development Collaborative projects with the Ministry of Health and EU initiatives (6th Framework Programme, Eurostars) Notable Publications focus on: SPR immunosensors for doping agent detection Gold nanoparticle-based platforms for biofuel cells and H2O2 sensing Supramolecular strategies for antibody immobilization and mycotoxin detection Advanced materials like lignin nanoparticles and polythiophene composites Environmental applications including PFAS monitoring and COD analysis Laboratory Activities include the use of: PGSTAT204 Electrochemical Interface for sensor development Spectroelectrochemical Raman for surface analysis Surface Plasmon Resonance (SPR) systems for biomolecular interactions QCM (Quartz Crystal Microbalance) for immunosensor validation

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Amar Nath Roy Chowdhuryمشاهده پروفایل

استادیار

• Structural Engineering
• Stability of Plate and Shell Structures
• Mechanics and Design of Thin-walled Structures
• +۳ مورد دیگر

Amar Nath Roy Chowdhury is currently serving as an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur) since December 2019. He previously held an Assistant Professor position at IIT Ropar from May 2017 to December 2019, and was a Post-doctoral Research Fellow at the National University of Singapore from January 2015 to December 2016. His academic journey includes a PhD from the National University of Singapore (2010-2014), an M.Tech from IIT Bombay (2006-2008), and a B.E. from Jadavpur University (2002-2006). Doctor of Philosophy (2010-2014), Department of Civil and Environmental Engineering, National University of Singapore, Singapore Master of Technology (2006-2008), Department of Civil and Environmental Engineering, Indian Institute of Technology Bombay, Mumbai, India Bachelor of Engineering (2002-2006), Department of Civil Engineering, Jadavpur University, Kolkata, India Dr. Roy Chowdhury specializes in Structural Engineering with research interests focused on the Stability of Plate and Shell Structures, Mechanics and Design of Thin-walled Structures, and Molecular Dynamics Simulation of Materials. His work bridges traditional structural engineering with cutting-edge nanoscale mechanics, particularly in the analysis of carbon nanotubes and other advanced materials. His research employs both theoretical continuum mechanics approaches and molecular dynamics simulations to understand structural behavior at different scales. Analysis of his publication record reveals a strong focus on structural mechanics across multiple scales - from macroscopic plate and shell structures to nanoscale carbon nanotubes. His work demonstrates expertise in vibration analysis, buckling phenomena, and stability considerations across these scales. A significant portion of his research involves developing continuum shell models to analyze carbon nanotube behavior, bridging the gap between molecular dynamics simulations and traditional structural engineering principles. Dr. Roy Chowdhury teaches courses in Stability of Structures, Steel Design, Structural Analysis, and Solid Mechanics. His teaching reflects his research expertise in structural mechanics and stability analysis. While specific information about research grants and advising is not explicitly detailed in the available information, his publication record suggests active research collaboration with international scholars, particularly with researchers at the National University of Singapore.

• Industrial Policy
• Trade Policy
• International Trade
• +۷ مورد دیگر

Anna Andreevna Fedyunina is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE), where she has worked since 2013. She also serves as Deputy Director and Leading Researcher at the Center for Structural Policy Research, coordinating strategic management and applied research in industrial policy, productivity, and regional development. Her affiliations include collaboration with government agencies and research organizations. Education: PhD in Economics (2017, HSE) Postgraduate studies in World Economy (2016, Ural Federal University) Master's in Economics (2013, Ural Federal University) Research Focus: Fedyunina's work centers on industrial and trade policy, global value chains (GVCs), economic sanctions, export diversification, and technological innovation. She investigates how multinational corporations adapt to geopolitical shifts, the resilience of Russian firms during crises, and the role of digital transformation in economic restructuring. Her research combines regional economic analysis with firm-level data to inform policy design. Publications: Her 15 most recent articles (2024–2025) emphasize sanctions adaptation, GVC resilience, industrial robotics, and low-carbon trade. Trends include empirical analyses of Russian manufacturing under dual shocks (sanctions/pandemic), technological sovereignty strategies, and environmental policy impacts. Common themes are regional economic resilience, innovation in value chains, and policy evaluation. Awards: Medal of the Russian Academy of Sciences (2012) HSE Best Teacher Award (2014, 2019, 2023) Winner, Best Russian-Language Scientific Work by HSE Employees (2024) Advising & Leadership: She mentors PhD students researching GVC adaptation and firm resilience. As Deputy Director of the Center for Structural Policy Research, she oversees projects on industrial transformation and coordinates partnerships. Her team focuses on policy-relevant research, including a mirror laboratory collaboration with the Federal Research Center of Coal and Coal Chemistry on energy transition challenges.

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

• Climate-energy-economic analysis
• Integrated assessment modelling
• Climate stabilisation scenarios
• +۷ مورد دیگر

Daniel Johansson is an Associate Professor at Chalmers University of Technology, working in the Department of Physical Resource Theory. With approximately 20 years of experience in climate-energy-economic analysis and integrated assessment modelling, he has authored around 50 peer-reviewed articles and other research papers. His work bridges climate science, engineering, and economics to address critical environmental challenges. His research spans numerous topics including climate stabilisation scenarios, emission metrics, statistical estimation of climate sensitivity, fuel markets, negative CO 2 emissions, food vs fuel dynamics, climate impacts of aviation, and the role of autonomous vehicles in future transportation systems. Dr. Johansson actively engages with industry, policymakers, and the public through research projects, workshops, presentations, policy reports, and op-eds. His recent publications (2022-2025) reveal a strong focus on practical climate solutions across multiple domains. Key themes include methane policy and valuation, electric vehicle transitions and critical materials, autonomous transportation systems, climate justice and fair emission allocation, integrated assessment modeling, and carbon removal technologies. His work demonstrates a consistent integration of economic, engineering, and climate science perspectives to address complex environmental challenges. Among his notable scientific contributions are analyses of: The social cost of methane and appropriate climate metrics Fair allocation of national greenhouse gas emissions Sweden's electric car transition and critical material requirements Climate impacts of aviation and potential policy measures Investment decisions under carbon price uncertainty Autonomous vehicles and their implications for travel demand and emissions Dr. Johansson has led and coordinated various research activities both within Chalmers and in multinational contexts. He has developed courses on energy and environmental issues for students at Chalmers, the School of Economics at University of Gothenburg, and for employees at General Motors. Notably, during autumn 2015 to spring 2016, he took temporary leave from research to work as a regulatory expert at Volvo Cars. His current research projects (2022-2025) include: Co-created scenarios for the climate transition of passenger cars Climate impact from aviation emissions (CLIMAV) Social cost of aviation contrails Climate impacts of aviation: Policies and climate evaluation of different fuels Systems analysis of biomass and carbon capture across energy sectors MISTRA Carbon Exit Phase 2