جست‌وجوی استاد و پژوهشگر

• Climate Change Economics
• Carbon Pricing
• Public Finance
• +۵ مورد دیگر

Ottmar Edenhofer serves as Director and Chief Economist of the Potsdam Institute for Climate Impact Research (PIK), Director of the Mercator Research Institute on Global Commons and Climate Change (2012-2024), Professor for The Economics and Politics of Climate Change at Technische Universität Berlin, and Chair of the European Scientific Advisory Board on Climate Change (ESABCC) since 2022. His affiliations span leading European climate research institutions and academic bodies. Edenhofer's research focuses on climate change economics, particularly the impact of technological change on mitigation costs, public finance implications of climate policy, distributional effects of carbon pricing, and governance of global commons. His work bridges theoretical economic modeling with practical policy design, emphasizing equity considerations and institutional frameworks for effective climate action. He pioneered social science research at PIK, establishing rigorous methodologies for translating scientific findings into actionable policy advice. His publication record demonstrates consistent leadership in high-impact climate economics research, with seminal contributions to IPCC assessments (serving as Co-Chair of Working Group III for the Fifth Assessment Report) and influential analyses of carbon pricing mechanisms. Recent work increasingly addresses carbon dioxide removal governance, distributional justice in climate policy, and the integration of climate action with broader sustainable development goals. His research consistently appears in top journals including Nature, Science, and Nature Climate Change. Edenhofer has received numerous scientific honors including the Romano Guardini Prize (2018), Deutsche Umweltpreis (2020), and Arthur Burkhardt-Prize (2021). He belongs to the top 1% of most cited scientists globally (2018-2022) and was ranked among Germany's top 10 economists (2019-2020). His policy influence extends to serving as Vatican consultor for the Dicastery for Promoting Integral Human Development and advising EU institutions through ESABCC. As a science-policy interface leader, Edenhofer has shaped climate negotiations leading to the Paris Agreement and continues to advise European institutions on implementing climate neutrality targets. His work emphasizes the critical role of carbon pricing with equitable revenue recycling and the strategic sequencing of climate policies to maintain political feasibility while achieving deep decarbonization.

Ralph Evinsمشاهده پروفایل

دانشیار

• Building Energy Simulation
• Energy System Optimization
• Machine Learning Applications in Energy
• +۳ مورد دیگر

Dr. Ralph Evins is an Associate Professor and Director of the Graduate Program in the Department of Civil Engineering at the University of Victoria. He holds affiliations with the Urban Energy Systems laboratory at Empa and ETH Zurich in Switzerland. His expertise spans building energy simulation, energy system optimization, and machine intelligence applications in sustainable design. Evins holds an MEng from Imperial College London and an EngD from the University of Bristol. His research focuses on computational problem-solving in energy systems, including surrogate modeling, optimization algorithms, and machine learning. He develops tools like the Holistic Urban Energy Simulation (HUES) platform and BESOS software framework to bridge building, district, and city-scale energy analysis. His work emphasizes holistic systems thinking, integrating energy hubs, thermal modeling, and digital twin technologies. Recent articles explore surrogate model refinement, inverse modeling for building characterization, and decarbonization strategies. He collaborates with industry to translate academic innovations into practical solutions. Evins advises students in energy systems and leads projects on net-zero building design, retrofit prioritization, and smart grid integration. His research addresses challenges in climate adaptation, energy efficiency, and sustainable urban development through interdisciplinary approaches.

Fengqi Youمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Artificial Intelligence
• Complex Systems
• +۹ مورد دیگر

Fengqi You is the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering at Cornell University. He holds affiliations with multiple departments and graduate fields, including Chemical Engineering, Computer Science, and Sustainability. His research focuses on systems engineering, artificial intelligence, and their applications in energy systems, digital agriculture, and sustainability. You serves as Chair of Ph.D. Studies in Systems Engineering and leads initiatives like the Cornell AI for Sustainability Initiative (CAISI) and the Cornell Institute for Digital Agriculture (CIDA). Education: B.Eng. from Tsinghua University (2005), Ph.D. from Carnegie Mellon University (2009). Before Cornell, he worked at Argonne National Laboratory and Northwestern University. Research Interests Decarbonization of energy systems (e.g., photovoltaics, battery tech) Material informatics and computer-aided molecular design AI-driven solutions for agriculture and climate resilience Supply chain optimization and smart manufacturing Awards & Recognition Fellow of AAAS, AIChE, and Royal Society of Chemistry Over 25 major awards including NSF CAREER (2016), AIChE Research Excellence (2017), and the 2024 Cecil Award Grants & Leadership Recipient of NSF NRT Award for AI in Sustainability Sciences Amazon Research Award for LCA transparency using LLMs Labs & Initiatives Cornell AI for Science Institute (CUAISci) Cornell Institute for Digital Agriculture (CIDA)

• Positioning and Navigation Systems
• Transportation Engineering
• Intelligent Transport Systems
• +۶ مورد دیگر

Professor Washington Yotto Ochieng serves as Head of the Department of Civil and Environmental Engineering and Chair Professor in Positioning and Navigation Systems at Imperial College London. He directs the Centre for Active Resilience and Security (CARS) and maintains key affiliations with the Centre for Systems Engineering and Innovation, Centre for Transport Engineering and Modelling, Institute for Molecular Science and Engineering, and Space Lab. His extensive advisory roles include the Science Museum Group Board of Trustees, Royal Institute of Navigation Presidency, and Royal Academy of Engineering Africa Steering Committee. His educational background includes a BSc (First Class) in Engineering from the University of Nairobi and MSc (Distinction) and PhD in Civil Engineering from the University of Nottingham. He received an honorary DSc from Technical University of Kenya in 2023. Ochieng's research pioneers critical infrastructure resilience, user-centric mobility, and positioning/navigation/timing (PNT) systems. He has designed satellite navigation systems (including Europe's EGNOS and GALILEO) for multi-domain applications and advanced Air Traffic Management and Intelligent Transport Systems. His work integrates geomatics, transportation engineering, and sustainable mobility to solve global urban infrastructure challenges, with recent emphasis on decarbonization and AI-driven solutions. His 2024-2025 publications reveal strong trends in sustainable transportation decarbonization, AI-optimized traffic management, and resilient urban positioning systems. Research focuses on hydrogen fuel cell trains, carbon-efficient aviation, and deep reinforcement learning applications for emission reduction, demonstrating interdisciplinary integration of engineering, environmental science, and artificial intelligence to address climate challenges. Fellow of the Royal Academy of Engineering (2013) Harold Spencer-Jones Gold Medal from Royal Institute of Navigation (2019) Doctor of Science (honoris causa) from Technical University of Kenya (2023) Elder of the Order of the Burning Spear (EBS) from Kenya (2023) Commander of the Order of the British Empire (CBE) (2024) Ochieng provides strategic guidance to UK Government bodies (Government Office for Science, Department for Transport, FCDO), European Parliament, and European Court of Auditors. His advisory work shaped the Blackett Review on Satellite-derived Time/Position, UK Space Strategy, and Future of Mobility report. He chairs the Science Museum London Advisory Board and leads FCDO's Sustainable Urban Economic Development program in Africa, with significant grant influence through UK National Physical Laboratory and Department for International Development. He directs the Centre for Active Resilience and Security (CARS) and leads Space Lab initiatives, focusing on mission-critical PNT systems and infrastructure resilience. His teams collaborate with international consortia including RTCM Special Committee 134 and US Institute of Navigation, developing next-generation navigation solutions for safety-critical applications across transport, aviation, and urban environments.

• Climate Change Mitigation
• Ecological Economics
• Technology Innovation
• +۵ مورد دیگر

Professor Jing Meng is a leading academic at University College London's Bartlett School of Sustainable Construction, holding the position since 2023 after progressing from Lecturer (2019-2021) to Associate Professor (2021-2023). She concurrently serves as a fellow at the Cambridge Centre for Environment, Energy and Natural Resource Governance and maintains active editorial roles as Executive Editor of the Journal of Cleaner Production and Associate Editor for Journal of Geophysical Research: Atmospheres. Her research spans three interconnected domains: Energy Transitions and Technology Innovation (examining cost forecasts and structural emission declines in China), Climate Change Policies (analyzing South-South trade effects and multinational enterprise emissions), and Emission-Health-Socioeconomics Nexus (assessing air pollution impacts and integrated co-mitigation strategies). This interdisciplinary approach is reflected in her publication record across Nature family journals and PNAS. Analysis of her recent publications reveals a consistent focus on global carbon accounting methodologies, with increasing attention to subnational (city-level) analyses, health co-benefits of climate policies, and technological innovation pathways for hard-to-abate sectors. Her work frequently employs multi-regional input-output modeling to trace emissions through complex supply chains. AGU Global Environmental Change Early Career Award (2023) MIT Technology Review Innovators Under 35 Asia Pacific (2022) Clarivate Highly Cited Researcher (2020-2024) Nature Communications Top 50 Earth Sciences Article (2018) MDPI Emerging Sustainability Leader Award (2020) Environmental Research Letters Best Early Career Article (2017) Professor Meng has secured substantial funding from diverse sources including NERC, the British Council, Quadrature Climate Foundation, The Royal Society, and UCL internal grants. She leads an interdisciplinary research group focused on technology innovation and climate policy, with particular emphasis on China's role in global emissions systems. Her work directly supports Sustainable Development Goal 13 (Climate Action) through actionable policy insights.

Scott T. M. Dawsonمشاهده پروفایل

استادیار

• Fluid Mechanics
• Dynamical Systems
• Control Theory
• +۵ مورد دیگر

Scott T. M. Dawson is an Assistant Professor in the Mechanical, Materials, and Aerospace Engineering Department at Illinois Institute of Technology (Illinois Tech). He holds positions in the Armour College of Engineering and leads research at the intersection of fluid mechanics, dynamical systems, control theory, and data science. His work focuses on extracting dynamic models from large datasets to analyze and control turbulent flows and unsteady aerodynamic systems. Education includes a Ph.D. and M.A. from Princeton University (2017, 2013), and B.Eng. and B.S. degrees from Monash University (2010, 2009). Prior to Illinois Tech, he was a postdoctoral scholar at Caltech’s Graduate Aerospace Laboratories under Prof. Beverley McKeon. Research interests emphasize reduced-order modeling, data-driven techniques for fluid flows, and flow control applications. His group’s work is supported by NSF, AFOSR, and DOE grants. Recent projects include sparsity-promoting methods for flow analysis, wavelet-based resolvent analysis, and neural network-driven flow control systems. Publications span over 60 peer-reviewed articles, with a focus on turbulence modeling, transient flow dynamics, and machine learning integration in fluid mechanics. Key contributions include novel algorithms for isolating amplification mechanisms in wall-bounded flows and robust neural network frameworks for closed-loop flow stabilization. Grants and collaborations include multi-year NSF CAREER funding for automated distillation of coherent flow structures. Ongoing efforts explore time-localized spectral methods, nonlinear dimensionality reduction, and hydrogen decarbonization in vehicular systems.

• Materials Science and Engineering
• Additive Manufacturing
• Materials Informatics
• +۷ مورد دیگر

S. Mohadeseh Taheri-Mousavi is an Assistant Professor in the Department of Materials Science and Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. She joined CMU in September 2022 after postdoctoral appointments at MIT and Brown University. Her research is supported by major grants from NASA STRI, DARPA, the Army Research Laboratory, and the Naval Nuclear Laboratory, and she is affiliated with the NextManufacturing Center and the Wilton E. Scott Institute for Energy Innovation. Her educational background includes a Ph.D. from EPFL, Switzerland, and M.Sc. and B.Sc. degrees from Sharif University of Technology, Iran. She was awarded both early and advanced Swiss National Science Foundation fellowships during her postdoctoral studies. Taheri-Mousavi’s research focuses on the intersection of materials science, mechanical engineering, and computer science. She develops multi-scale computational models and AI-driven frameworks—such as AlloyGPT and generative AI agents—to design next-generation structural alloys, particularly for additive manufacturing and extreme environments. Her work emphasizes materials sustainability, industrial decarbonization, and uncertainty quantification in alloy design. The integration of machine learning with Integrated Computational Materials Engineering (ICME) and CALPHAD methods enables rapid exploration of high-dimensional composition and processing spaces. Her recent publications (2023–2025) show a strong trend toward AI/ML applications in alloy discovery, hydrogen embrittlement modeling, and high-temperature aluminum and tungsten alloys. These works reflect a deep commitment to accelerating materials innovation through human-AI collaboration and smart experimental validation. Her scientific honors include prestigious Swiss National Science Foundation fellowships. She has also received seed funding from the Scott Institute for Energy Innovation to study hydrogen embrittlement. She advises a dynamic team of doctoral students and a postdoctoral researcher, working on topics including hydrogen embrittlement, generative AI for welding, and gradient alloys. Her research is funded by high-impact grants from NASA, DARPA, the Army, and the Naval Nuclear Laboratory, supporting transformative projects in structural alloy design. She leads the Taheri-Mousavi Group, which operates within CMU’s Materials Characterization Facility and the NextManufacturing Center. The group focuses on developing novel AI-integrated computational frameworks to guide efficient and intelligent experimentation in alloy development.

Navid Bayatiمشاهده پروفایل

دانشیار

• Renewable/Hybrid Power Systems
• Protection and Transient Analysis of Power Grids
• Microgrids and Active Energy Networks
• +۵ مورد دیگر

Navid Bayati is an Associate Professor at the University of Southern Denmark, affiliated with the Institute of Mechanical and Electrical Engineering and the Centre for Industrial Electronics. He leads the Control and Protection of Smart Grids (CAP-SG) group and focuses on renewable/hybrid power systems, microgrid protection, and grid code compliance. Education: Ph.D. in Power Systems & Microgrid Protection (2020, Aalborg University); M.Sc. in Power Systems (2017, Amirkabir University of Technology) His research spans renewable energy integration , transient analysis , grid interconnection , and digital twin applications . Recent work includes machine learning for carbon emission prediction, fault localization in DC microgrids, and supercapacitor resilience in hybrid systems. Collaborations include projects like IEA Wind Task 50 and RePoSys , addressing grid renovation, life cycle assessment, and digital twin resilience. His teaching portfolio covers power electronics , energy management , and microgrid control .

Haifa AlSalmiمشاهده پروفایل

پژوهشگر ارشد

• AI for Sustainability
• Computational Geophysics
• Environmental Science
• +۶ مورد دیگر

Haifa AlSalmi is a Research Fellow at the Digital Environment Research Institute (DERI), Queen Mary University of London, specializing in AI-driven environmental and sustainability research. She holds a PhD in Geophysics from Imperial College London, where her thesis focused on computational methods for seismic data analysis and subsurface characterization. Her current role involves leveraging computer vision, deep learning, and computational geophysics to enhance subsurface seismic image processing, with applications in sustainable energy exploration (geothermal, hydrothermal, and hydrogen technologies) and climate change research. Her work addresses critical challenges in decarbonization and environmental sustainability, including improving resolution of subsurface data for energy resource exploration and deepening understanding of historical climate patterns and sea-level variations. She collaborates within Professor John’s research group at DERI, which integrates digital technologies to tackle environmental issues. No specific grants or advising roles are detailed in the provided materials, though her contributions emphasize interdisciplinary innovation in geophysics and AI applications. Labs/Teams: Part of the DERI and Professor John’s research group at Queen Mary University of London.

• Sustainability
• Sustainable Consumption
• Energy Transition
• +۱۴ مورد دیگر

Marius Korsnes is an Associate Professor at the Department of Interdisciplinary Cultural Studies, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). He leads the ERC-funded 'MidWay' project on sufficiency in meat and milk consumption in China and co-leads the NFR INTPART project 'Sociomaterial Transformations in Norway and East Asia (SoMaT)'. He is actively involved in the MEATigation, COJUST, and GreenBlack projects, and previously led research in the FME NTRANS center on deep decarbonization. His work bridges energy, sustainability, and socio-cultural transitions with a strong focus on Norway and China. BA in International Studies, University of Oslo (2009) BA in History, University of Oslo (2011) M.Phil. in Culture, Environment and Sustainability, University of Oslo (2012) PhD in Technology, Innovation and Culture, NTNU (2015) His research centers on sustainability transitions , energy use , renewable energy systems , consumer practices , and sufficiency , particularly in the context of China and Norway. He explores how socio-material practices shape energy and food systems, with attention to justice, inclusion, and policy implications. His work integrates Technology, Innovation and Society (TIS) perspectives and public engagement. His recent publications (2022–2025) reflect a strong trend in energy citizenship , meat and dairy consumption , prosumerism , and sufficiency . These articles analyze low-income energy practices, policy injustices, and cultural dynamics in food and energy transitions. The research is interdisciplinary, combining social science, environmental studies, and policy analysis. ERC Starting Grant (MidWay project) Member, Academy for Young Researchers (AYF) NTNU Star Program Korsnes has advised Master’s students and contributes to transdisciplinary research, including using improvisational theatre for collaborative research. He has been involved in major research centers like FME ZEN and FME CenSES, and his work emphasizes public engagement and societal impact. His projects often involve international collaboration, especially between Norway and East Asia.

Naomi J. Halasمشاهده پروفایل

عضو هیئت علمی

• Plasmonics
• Nanophotonics
• Nanoengineering
• +۵ مورد دیگر

Naomi J. Halas is a University Professor at Rice University, holding appointments in the Department of Electrical and Computer Engineering, Biomedical Engineering, Chemistry, and Physics & Astronomy. She is the Stanley C. Moore Professor in Electrical and Computer Engineering and serves as Director of both the Smalley-Curl Institute and the Laboratory for Nanophotonics. As a University Professor, she holds Rice's highest faculty rank, a distinction awarded to only 10 individuals (and only the second woman) in Rice's 111-year history. Halas is a pioneering researcher in the field of plasmonics, having created the concept of the "tunable plasmon" and invented a family of nanoparticles with resonances spanning the visible and infrared regions of the spectrum. Her research spans fundamental studies of coupled plasmonic systems as well as applications in biomedicine, optoelectronics, machine learning-enabled chemical sensing of environmental toxins, and plasmon-based photocatalysis. She is the author of more than 400 refereed publications, has over 30 issued patents, has presented more than 600 invited talks, and has been cited more than 130,000 times. Her recent publications demonstrate a strong focus on practical applications of plasmonics, particularly in water purification, environmental toxin detection, and cancer treatment. Her work combines nanotechnology with machine learning approaches to create innovative solutions for pressing global challenges in healthcare, environmental sustainability, and energy. The interdisciplinary nature of her research is reflected in publications spanning journals from Nature Water and PNAS to ACS Catalysis. Benjamin Franklin Medal in Chemistry (2025) - For the creation and development of nanoshells for biomedical and chemical applications Mildred Dresselhaus Prize in Nanoscience and Nanomaterials (2024) American Physical Society Frank Isakson Prize for Optical Effects in Solids Willis E. Lamb Award Wood Prize of Optica National Security Science and Engineering Faculty Fellow (Vannevar Bush Fellow) of the U.S. Department of Defense Halas has co-founded two companies based on her research: Nanospectra Biosciences, developing photothermal therapies for prostate cancer (nearing FDA approval), and Syzygy Plasmonics, a deep decarbonization platform. She has advised numerous students who have gone on to successful careers in academia and industry. Her research has been supported by significant grants from NSF, DoD, and other funding agencies. She serves as an advisor to the Mathematical and Physical Sciences Directorate of the National Science Foundation. Halas leads the Laboratory for Nanophotonics at Rice University, where her team focuses on designing new optically active nanostructures, developing nanofabrication strategies, characterizing physical properties of these materials, and prototyping applications of technological and societal interest. Her group is dedicated to producing PhD research scientists with expanded skill sets who can develop solutions beyond traditional disciplinary boundaries.

Qian Zhangمشاهده پروفایل

استادیار

• Climate Change Mitigation
• Sustainable Mining
• Life Cycle Assessment
• +۷ مورد دیگر

Dr. Qian Zhang serves as Assistant Professor in the Robert M. Buchan Department of Mining at Queen's University's Smith Engineering, leading the Green Mining Value Chain (GreeMVC) Lab. His research develops strategic frameworks for sustainability and resilience throughout mining value chains, with emphasis on climate change mitigation and resource efficiency in global mineral systems. His academic foundation includes a Ph.D. in Urban Engineering from the University of Tokyo (awarded Japanese Government MEXT Scholarship), complemented by MSc and BSc degrees in Environmental Science plus a Minor in Economics from Peking University. Prior to his current role, he conducted postdoctoral research at the University of Victoria and University of Tokyo while consulting for the World Resources Institute on climate-energy initiatives. Dr. Zhang's expertise spans carbon footprint analysis , life-cycle assessment , and industrial ecology applied to mining systems. He employs advanced methodologies including input-output analysis and material flow accounting to model environmental pressures across urban infrastructure and mineral supply chains. His work specifically addresses greenhouse gas accounting, water-energy nexus challenges, and circular economy implementation in resource-intensive sectors. Recent publications reveal strong methodological convergence between artificial intelligence and environmental assessment, particularly in optimizing mining operations through reinforcement learning and geospatial analysis. Key thematic clusters include carbon accounting standardization, critical mineral sustainability, and policy-oriented modeling of environmental pressures throughout mineral value chains. His research program is supported by major competitive grants: NSERC Discovery Grant (2022-2027) SSHRC Institutional Grant (2023, 2025) NSERC Alliance Missions Grant (2023, 2024) Mitacs Accelerate Grant (2023, 2025) NFRF Exploration Grant (2025-2027) NRCan Energy Innovation Program (2025) Dr. Zhang actively mentors a dynamic research group comprising 10+ graduate students and postdocs, securing collaborative funding through institutional and federal channels. His GreeMVC Lab maintains active partnerships with industry leaders and government agencies to translate research into practical sustainability solutions for the mining sector, with current projects focusing on AI-driven fleet management and life-cycle assessment of mineral supply chains. The GreeMVC Lab operates as a multidisciplinary hub with structured mentorship programs, regular industry engagement events, and international collaborations including the COM symposium on sustainable circularity. The lab's physical space in Goodwin Hall supports advanced computational analysis of mining value chains while fostering innovation in green mining technologies through student-led research initiatives.

Roland N. Horneمشاهده پروفایل

استاد

• Geothermal reservoir engineering
• Energy production optimization
• Well test interpretation
• +۸ مورد دیگر

Roland N. Horne is the Thomas Davies Barrow Professor of Earth Sciences at Stanford University and Senior Fellow at the Precourt Institute for Energy. He holds positions in the Department of Energy Science & Engineering and is an Affiliate at the Stanford Woods Institute for the Environment. With degrees from the University of Auckland (BE, PhD, DSc), Horne has established himself as a leading expert in geothermal reservoir engineering and energy production optimization. His research focuses on inverse problems in reservoir modeling, including tracer analysis of fractures, computer-aided well test analysis, production schedule optimization, and automated history matching. Horne has made significant contributions to understanding geothermal reservoir engineering and multiphase flow of boiling fluids through porous materials and fractures. The analysis of his recent publications (2023-2025) reveals a strong emphasis on enhanced geothermal systems (EGS), with particular focus on flexible operations, economic modeling, and advanced characterization techniques. His work increasingly incorporates machine learning approaches for reservoir analysis and has expanded into microbial tracing methods for interwell connectivity assessment. There's also significant attention to US geothermal resource potential and integration into the broader energy transition. Honorary Member of the Society of Petroleum Engineers Member of the US National Academy of Engineering Multiple SPE Distinguished Lecturer appointments (1998, 2009, 2020) John Franklin Carl Award recipient Five Best Paper awards from Geothermal Resources Council Patricius Medal from German Geothermal Society Core Values Award from Women in Geothermal (2023) Horne has supervised 60 PhD and 135 MS students throughout his career. His current teaching includes undergraduate and graduate courses in Fundamentals of Energy Processes, Geothermal Reservoir Engineering, Mass and Energy Transport in Porous Media, and Well Test Analysis. He previously served as President of the International Geothermal Association (2010-2013) and Technical Program Chair for multiple World Geothermal Congress events. Horne maintains active research collaborations worldwide, including with the University of Tokyo (where he was a Fellow of the School of Engineering in 2016) and China University of Petroleum. His current research group focuses on advancing EGS technologies and developing more accurate reservoir characterization methods for geothermal applications.

Jann Weinandمشاهده پروفایل

استاد پژوهشی

• Energy System Optimization
• Renewable Energy Resource Assessment
• Complexity Management
• +۴ مورد دیگر

Dr. Jann Michael Weinand is the head of the Integrated Scenarios department at the Institute of Climate and Energy Systems (ICE-2) within Forschungszentrum Jülich GmbH. He leads a team of 30 scientists, PhD students, and master students focusing on energy system analysis, complexity management, and AI integration. His work addresses regional and international energy systems, emphasizing renewable energy resource assessment and techno-economic feasibility. Dr. Weinand holds a Dr.-Ing. from the Karlsruhe Institute of Technology (2020) and a Mechanical Engineering and Business Administration degree from RWTH Aachen University (2016). His research spans energy autonomy, renewable resource optimization, and the socio-technical challenges of energy transitions. Key research areas include energy system modeling, geothermal and wind energy potential, and data-driven methodologies. He coordinates interdisciplinary projects with academic and industrial partners, contributing to high-impact journals like Nature Energy and Joule. His team develops open-source tools (e.g., ETHOS workflows) for reproducible energy assessments and advocates for spatially disaggregated energy planning. Publications highlight trade-offs in energy system design, AI risks, and land-use conflicts for renewables. He emphasizes integrating social, technical, and environmental factors into energy policy frameworks.

• Energy Systems
• Machine Learning
• Reinforcement Learning
• +۱۲ مورد دیگر

Marco Badami is a Full Professor at the Department of Energy (DENERG) , Polytechnic of Turin. He serves as Scientific Director for national and EU-funded research projects in energy systems and has been a Course Lecturer for Energy Systems and Industrial Use of Energy since 2010. He supervises PhD students in Energetics and Electrical Engineering . Research Interests: His work spans energy systems optimization, machine learning applications for industrial energy efficiency, smart grids, cogeneration scheduling, blockchain-based energy data immutability, and predictive maintenance algorithms for photovoltaic plants. Current projects focus on AI-driven energy audits, optimized control systems for industrial microgrids, and digital twin architectures. Collaborations: He works with Trigenia Srl, Stogit SpA, and international institutions on commercial research contracts. His scientific contributions include 15+ publications on topics like LSTM forecasting for solar energy, deep reinforcement learning for multi-energy systems, and decentralized peer-to-peer energy trading platforms.