جست‌وجوی استاد و پژوهشگر

• Energy Communities
• Renewable Energy Systems
• Green Hydrogen Production
• +۵ مورد دیگر

Francesco Demetrio Minuto is a Fixed-term tenure-track assistant professor at the Department of Energy (DENERG) at Polytechnic University of Turin, where he is also a member of the Interdepartmental Center Ec-L - Energy Center Lab. His academic activities span across multiple engineering disciplines as an invited member of both the College of Electrical and Energy Engineering and the College of Mechanical, Aerospace, and Automotive Engineering. Dr. Minuto's research focuses on energy communities, techno-economic analysis of renewable energy systems, green hydrogen production, and energy storage technologies including lithium-ion batteries and hydrogen storage. His work addresses critical challenges in sustainable energy transition, with particular emphasis on hydrogen technologies, energy storage optimization, and community-scale renewable energy integration. His research aligns with key Sustainable Development Goals, particularly Goal 7 (Affordable and clean energy), Goal 11 (Sustainable cities and communities), and Goal 13 (Climate action). His recent publication record demonstrates strong expertise in hydrogen technologies, energy storage systems, and renewable energy community modeling, with numerous high-impact publications in leading energy journals. His work often involves sophisticated modeling approaches including stochastic simulation frameworks, MILP optimization, and techno-economic analysis to address real-world energy challenges. Dr. Minuto actively mentors the next generation of energy researchers, supervising five PhD students working on cutting-edge energy projects. His teaching portfolio includes PhD-level instruction on 'Safety of new energy carriers in confined spaces' and undergraduate courses such as 'Energy and Renewable Energy Sources' and 'Applied Thermodynamics and Heat Transfer' across multiple engineering programs. He is currently involved in the EU-funded TIPS4PED research project (2024-2027) under the Horizon Europe program, focusing on Positive Energy Districts and urban energy planning. His research bridges theoretical modeling with practical applications in the energy transition, contributing to both academic knowledge and real-world energy solutions.

• Energy transition
• Energy efficiency and management
• Smart Building technologies
• +۸ مورد دیگر

Jean-Philippe Bacher is a Full Professor at the University of Applied Sciences and Arts Western Switzerland (HES-SO), specifically affiliated with the Fribourg School of Engineering and Architecture. He serves as a key researcher at the Institute for Applied Research in Energy Systems, where he leads multiple significant research initiatives focused on energy transition and building performance optimization. His work bridges academic research with practical applications in the energy sector, particularly in the context of Switzerland's Energy Strategy 2050. Professor Bacher's research interests span the critical domains of energy transition, energy efficiency and management, Smart Building technologies, and building performance analysis. His expertise extends to photovoltaic systems, energy storage solutions, Building Information Modeling (BIM), and the intersection of Internet of Things (IoT) technologies with building management. He has developed a particular focus on understanding human behavior in built environments and its impact on energy consumption patterns. His work often addresses the complex challenges of district energy systems and innovative approaches to building decarbonization strategies, with numerous publications demonstrating his leadership in these fields. An analysis of his recent publications reveals a strong trajectory toward integrated solutions for energy transition in the built environment. His work increasingly focuses on the convergence of multiple technologies - particularly the combination of BIM, IoT, and virtual reality for facility management, as well as the integration of photovoltaics with hydrogen-based storage systems for seasonal energy balancing. His research demonstrates a methodological shift toward data-driven approaches using machine learning techniques to optimize energy systems at multiple scales, from individual buildings to district-level infrastructure. The consistent theme across his publications is the practical application of research to address Switzerland's and Europe's energy transition challenges, with particular attention to grid stability issues arising from decentralized renewable energy production. EXPOSITION project (2024-2025): Experimentation Platform for Smart Districts focusing on grid stability issues ProRen project (2019-2021): Interventions on existing building stock for large-scale energy optimization Multi-Confort project (2011-2020): Comprehensive approach to workplace comfort considering physiological, psychological, and functional components CityPulse project (2017-2020): Sensor platform for urban quality of life monitoring in Fribourg's BlueFactory district Professor Bacher leads a substantial research team within HES-SO, collaborating with numerous colleagues across multiple disciplines. His work demonstrates strong industry engagement through practical applications of research findings and technology transfer initiatives. He serves as a bridge between academic research and practical implementation in the energy sector, particularly in the context of Switzerland's Energy Strategy 2050 and the challenges of integrating renewable energy sources into existing infrastructure.

Gernot Schullerusمشاهده پروفایل

استاد

• Electrical Drives
• Power Electronics
• Motion Control
• +۷ مورد دیگر

Prof. Dr.-Ing. Gernot Schullerus is a W2-Professor for Electrical Drives at the Faculty of Engineering, Reutlingen University, where he has been employed since September 2010. He currently serves as the Collegial Head of the Electronics & Drives Research and Teaching Center since March 2023 and will assume the scientific leadership of the Reutlingen Research Institute starting September 2024. His office is located in Building 2, Room 018, and his office hours are Tuesdays from 8:00 to 9:00 AM. Professor Schullerus completed his doctorate at the University of Karlsruhe (TH) in 2004. His academic and professional journey includes: 2004: PhD (Dr.-Ing.) at University of Karlsruhe (TH) January 2004 - August 2010: Development Engineer, Electronics Development, SEW-EURODRIVE, Bruchsal September 2010 - present: W2-Professor for Electrical Drives, Faculty of Engineering, Reutlingen University March 2023 - present: Collegial Head of the Electronics & Drives Research and Teaching Center September 2024 - present: Collegial Scientific Head of the Reutlingen Research Institute Professor Schullerus specializes in electrical drive technology and power electronics. His research focuses on new motor concepts, particularly harmonically excited synchronous machines, power electronic components for drive applications, and inverters using gallium nitride power switches. He investigates sensorless operation of switched reluctance machines and energy-efficient control of rotating field machines. His work extends to condition monitoring and predictive maintenance in drive systems, with recent emphasis on green hydrogen production and flexible hydrogen logistics. The Reutlingen Research Institute under his leadership explores decentralized energy systems and energy efficiency. His recent publications demonstrate a strong focus on power electronics innovations, particularly with gallium nitride technology, and applications in energy systems. Key trends include advanced modulation techniques for power converters, optimization of PCB layouts for high-power applications, and the integration of renewable energy with hydrogen production systems. His work bridges theoretical control concepts with practical industrial applications, particularly in drive systems and energy conversion. Professor Schullerus leads the Electronics & Drives research group at Reutlingen University, which is actively involved in multiple research projects. Current projects include CleMoSy (Clean Motor Supply), Trusted Handling (Predictive Maintenance for roller chains), H2FLEX (Flexible Interoperable Hydrogen Logistics), and the Model Region Green Hydrogen: Lighthouse H2-Grid (Networking decentralized hydrogen production and consumption). Previously, he has led projects on modular scalable power electronics based on gallium nitride components, dynamically energy-efficient operation of induction machines, and model-based hierarchical condition monitoring. His laboratory facilities include the Electrical Drives Laboratory and the Laboratory for Control and Drive Technology, where his team focuses on optimal control/regulation and diagnosis of drive and grid converters. The research environment supports both fundamental investigations and applied industrial projects, with strong connections to industry partners in the drive technology sector.

Martin Lindnerمشاهده پروفایل

پژوهشگر

• Aircraft Performance
• Trajectory Optimization
• Sustainable Aviation
• +۵ مورد دیگر

Dr. Martin Lindner is a Researcher at TU Dresden’s Chair of Air Transport Technology and Logistics, specializing in aircraft performance and trajectory optimization for sustainable aviation since 2015. He leads interdisciplinary collaborations within the RTG AirMetro program and heads the Skylab, focusing on drone/VTOL aircraft technology, logistics, and sensor systems. Research Interests: Aircraft performance modeling, trajectory optimization, sustainable aviation, urban air mobility, and air traffic planning. Projects: RTG AirMetro (AAM), Air-Take-Off (drone-manned collision avoidance), SmartFly (sustainable transport), RescueFLY (water rescue drones), ReMAP (conflict resolution), ProfiFuel (fuel-efficient trajectories), MEFUL (emission reduction). Publication Trends: His work emphasizes multi-criteria trajectory optimization, integrating environmental efficiency, noise reduction, and operational safety. Recent articles address urban air mobility infrastructure, fleet optimization, and AI-driven air traffic simulations. Teaching: Co-teaches Air Transport Systems and leads Airline Management , blending technical innovation with strategic thinking. Labs: Heads Skylab, a hub for experimental research in drone logistics, sensor systems, and advanced flight planning tools.

• Risk Analysis
• Financial Market Forecasting
• Quantitative Modelling
• +۷ مورد دیگر

Dr Tiejun Ma is an Associate Professor at the University of Southampton , specializing in risk analysis and decision-making. His research integrates quantitative modelling with real-time big data analytics to address financial market forecasting challenges. He has secured over £4 million in research grants across 30 projects funded by EPSRC, ESRC, Innovate UK, and industry partners like Huawei. Member of the Centre for Risk Research Member of CORMSIS (Centre for Operational Research, Management Science and Information Systems) Member of the Centre for Digital Finance Dr Ma's research spans cryptocurrencies, behavioral economics, data anonymization, and financial risk management. His work combines applied data science, mathematical modelling, and behavioral analysis to tackle complex uncertain environments. Key projects include: Huawei-funded Failure Detection Algorithm for SDN/NFV EPSRC-funded Modelling the Wisdom of the Crowd Modelling Complex Uncertain Environments with E.V. Analytics Ltd His publications appear in leading journals like the European Journal of Operational Research , Quantitative Finance , and Journal of Computer Science and Technology . He supervises PhD students in Business Studies & Management.

Marco Galloمشاهده پروفایل

پژوهشگر ارشد

• Electrical Engineering
• Energy Systems Optimization
• Renewable Energy Integration
• +۳ مورد دیگر

Marco Gallo is a Research Fellow at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) of the University of Genoa, Italy. His work focuses on advanced optimization techniques for maritime power systems and smart port infrastructures. Key Research Areas: Electrical Engineering, Energy Systems Optimization, Renewable Energy Integration Current Projects: Shipboard Microgrid Optimization, Battery Storage Sizing, Smart Port Development His recent publications demonstrate expertise in applying computational methods like Mixed-Integer Linear Programming and Model Predictive Control to zero-emission maritime systems. The research spans power quality analysis, carbon intensity assessment, and multi-energy port design with vehicle charging capabilities.

Adnan Ahmad Cheemaمشاهده پروفایل

مدرس

• Wireless Communications
• Channel Measurements and Modelling
• Reconfigurable Intelligent Surfaces
• +۱۰ مورد دیگر

Dr. Adnan Ahmad Cheema is a Lecturer (Assistant Professor) in Electronic Engineering at Ulster University's School of Engineering , leading the Advanced Wireless Technologies Lab (AWTL) . With a PhD from Durham University and prior postdoctoral experience at Durham, he specializes in 6G wireless systems, channel modeling, and quantum machine learning applications. Education : PhD (Durham University), MSc (King’s College London), BSc (COMSATS University Islamabad) External Roles : Senior IEEE/URSI member, Royal Society International Exchanges Panel member His research bridges wireless communications and machine learning with a focus on 6G channel modeling , reconfigurable intelligent surfaces , and RF-EMF exposure analysis. He has secured over £4.7 million in grants from DSIT, EPSRC, and Innovate UK. The 15 most recent publications highlight trends in quantum LSTM for wireless channel estimation, mmWave propagation in urban/UAV scenarios, and environmental monitoring via machine learning. These works align with UN SDGs for smart cities and healthcare technology . Scientific Recognition Fellow of the Higher Education Academy (FHEA) Senior Member IEEE/URSI As an advisor, he has mentored PhD candidates like Dr. Chi Nguyen and Mr. Kd M Raziul Islam. His lab develops proof-of-concept systems such as '5G in a Box' and advanced channel sounders , contributing to ITU recommendations.

• Transport Engineering
• Urban Logistics
• Electric Vehicle Optimization
• +۳ مورد دیگر

Óscar Castillo Campo is a Transport Engineering researcher at Antonio de Nebrija University , specializing in urban logistics and electric vehicle optimization . He actively contributes to the At-the-oUTSET research group focused on architectural and urban responses to socio-economic transformations. Education: PhD in Transport Engineering from Universidad Antonio de Nebrija (2023), thesis on Electric Vehicle Fleet Optimization for Urban Delivery His research spans sustainable mobility , charging infrastructure modeling , and transportation cybersecurity , particularly in cooperative and automated systems . Recent work explores economic optimization of electric powertrains and second-life battery applications in circular economy frameworks. Publications highlight trends in electric vehicle fleet management , hydrogen-electric hybrid technologies , and NTT algorithm performance . While no awards are explicitly mentioned, his interdisciplinary work bridges engineering, sustainability, and computational analysis. Currently affiliated with the At-the-oUTSET research group, he focuses on urban delivery electrification and smart mobility infrastructure . Contact: ocastillo@nebrija.es

Raul Sarrias Menaمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Microgrid Control
• Energy Storage Integration
• +۵ مورد دیگر

Raul Sarrias Mena serves as Assistant Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cádiz since February 2020, following his appointment as full-time professor in January 2017. He is a core member of the PAIDI Research Group TEP-023: Sustainable and Renewable Electrical Technologies since its creation in 2011. His educational background includes: Industrial Engineering with specialization in Industrial Electronics (2003-2007) at University of Cádiz Second cycle of Industrial Engineering (2007-2010) Master's Degree in Computational Modeling in Engineering (Extraordinary Award recipient) PhD in Wind power generation with energy storage systems (2016, International Mention, Cum Laude, Extraordinary Doctoral Award) Dr. Sarrias Mena's research focuses on renewable energy integration with particular expertise in microgrid control architectures , energy storage optimization , and power electronics for sustainable systems . His work bridges theoretical control strategies with practical hardware implementation, frequently utilizing Raspberry Pi platforms for low-cost validation. Current investigations emphasize multi-energy systems combining electrical, hydrogen, and thermal components through reinforcement learning approaches. Analysis of his 15 most recent publications (2023-2025) reveals dominant research trends in multi-microgrid coordination (32% of articles), hydrogen integration (27%), and fault-tolerant control (20%), with increasing application of artificial intelligence techniques. His work consistently addresses practical implementation challenges in power electronics hardware. Scientific recognition includes: Extraordinary Doctoral Award International Mention for PhD thesis Outstanding Cum Laude grade Extraordinary Award for Master's degree Dr. Sarrias Mena has supervised 10 Final Degree/Master's theses and currently co-directs 4 doctoral theses. His research has been supported through participation in 3 competitive national/international projects including collaborations with Cardiff University established during his 2015 research stay. The TEP-023 research group provides his primary laboratory infrastructure for experimental validation of microgrid control systems.

• Smart Grids
• Renewable Energy Systems
• Energy Storage
• +۵ مورد دیگر

Pasquale Vizza is a Researcher at the Department of Mechanical, Energy and Management Engineering, University of Calabria. He works within the Electrical Energy Systems (IIND-08/B) department, focusing on advanced energy systems and smart grid technologies. Current research emphasizes smart grids , microgrid/nanogrid development, and renewable energy integration Active in power electronics , energy storage , and technical-economic modeling for electricity markets Collaborates with national/international universities and companies through funded projects like H2020, PON, and POR His recent work explores hydrogen fuel cells , machine learning for building energy loads , and prosumer aggregation frameworks . He contributes to the LASEER laboratory, developing high-TRL prototypes for active filtering and pre-industrialization of grid technologies. Representative article fields include electric vehicle grid integration , IoT-based demand response , and energy community balancing services . The research aligns with European directives RED II and IEM.

Baran Yildizمشاهده پروفایل

پژوهشگر ارشد

• Distributed energy resource integration
• Demand response systems
• Smart home energy management
• +۵ مورد دیگر

Baran Yildiz is a Senior Research Fellow at the Centre for Energy and Environmental Markets (CEEM) and a lecturer at the School of Photovoltaic and Renewable Energy Engineering (SPREE) at the University of New South Wales. His research focuses on distributed energy systems, demand response, and smart grid integration. He holds a PhD in load forecasting & smart home energy systems from UNSW. Research interests include: Integration of distributed energy resources Demand response and side management Smart home energy systems Grid-connected PV systems Microgrids Baran leads major projects like SolarShift (RACE for 2030) and Flexible Demand Trial (ARENA), collaborating with industry partners. His work has been featured in AEMC, ESB, CRC, and media outlets. Publications highlight his expertise in solar-battery systems, EV charging emissions, water heater optimization, and grid constraint mitigation. He teaches SOLA 4012 Photovoltaic Systems Design.

Katarina Grolingerمشاهده پروفایل

دانشیار

• Sensor Data Analytics
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Katarina Grolinger is an Associate Professor at the Department of Electrical and Computer Engineering at Western University and holds the Canada Research Chair (Tier 2) in Engineering Applications of Machine Learning . She is also a Vector Institute Faculty Affiliate . Ph.D. and M.Eng. in Software Engineering from Western University M.Sc. and B.Sc. in Mechanical Engineering from University of Zagreb, Croatia Her research focuses on machine learning applications in energy systems , deep learning for structural and medical imaging , federated learning , and big data management . Recent publications emphasize energy forecasting , IoT data analytics , and reinforcement learning for autonomous systems . 2022 Engineering Junior Faculty Award for Excellence in Research She teaches courses in data analytics , operating systems , and database management . Her work integrates industry collaboration and has contributed to IEEE and Energy Reports publications.

Francisco Herbertمشاهده پروفایل

استاد آموزشی

• Wind Energy
• Aerodynamics
• Computational Fluid Dynamics
• +۳ مورد دیگر

Francisco Herbert is a Teaching Professor in the Department of Mechanical Engineering at The University of Texas at San Antonio (UTSA) , where he serves as the Undergraduate Advisor of Record . He is affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design and was recognized as a Klesse Endowed Fellow . His research focuses on wind energy systems , aerodynamic optimization , and computational intelligence applications in both renewable energy and supply chain design . Education : Ph.D. from Monterrey Tech, Monterrey, Mexico Herbert's research spans computational fluid dynamics (CFD) simulations for wind turbines, blade design innovations, and metaheuristic algorithms for solving complex engineering problems. His work addresses challenges in complex terrain wind flow analysis , hybrid turbine systems , and capacitated supply chain networks with quality constraints. His recent publications highlight trends in smart wind turbine design , terrain-specific energy modeling , and algorithmic optimization for industrial and energy systems. Topics include shape-morphing subsystems , load alleviation in flexible blades, and genotype representation in genetic algorithms applied to supply chain problems. Scientific Awards : Klesse Endowed Fellow Herbert advises undergraduate students and contributes to advancing renewable energy education at UTSA. His work bridges mechanical engineering with computational methods for real-world applications in energy and logistics.

Bowei Liمشاهده پروفایل

استادیار

• Wind Engineering
• Structural Engineering
• Machine Learning
• +۳ مورد دیگر

Bowei Li serves as Assistant Professor in the Department of Civil, Environmental, and Construction Engineering at Texas Tech University's Whitacre College of Engineering, with additional affiliation to the National Wind Institute. His research integrates artificial intelligence with structural and wind engineering to advance hazard resilience and performance-based design methodologies. Education: Ph.D. in Civil Engineering and Scientific Computing, University of Michigan, Ann Arbor (2022) Master of Electrical & Computer Engineering, University of Michigan, Ann Arbor (2022) Master of Civil Engineering, Tongji University (2018) B.E. in Civil Engineering, Huazhong University of Science and Technology (2015) Dr. Li's research centers on AI-powered structural resilience , specializing in machine learning-based metamodeling for multi-hazard risk assessment and wind engineering. His work develops neural operator frameworks for stochastic structural response modeling and real-time hurricane damage forecasting, enabling rapid performance assessment of large-scale infrastructure systems. Current efforts focus on AI-driven automated design protocols and decision-making systems for engineered buildings under extreme wind loads. His publication record demonstrates a clear trajectory toward integrating deep learning with structural dynamics , shifting from traditional nonlinear analysis toward neural operator implementations for stochastic hazard modeling. Recent work emphasizes computational efficiency in performance assessment for wind-excited structures, with increasing focus on multi-hazard scenarios and real-time risk forecasting capabilities. Scientific Recognition: Best Paper Award for 2023 in Engineering Structures Dr. Li actively mentors graduate and undergraduate researchers through the Resilient and Intelligent Built Environment Lab (BRI Lab), currently advising Ph.D. student Manisha Sapkota alongside undergraduate researchers Manish Basnet and Daniel Willoughby. His collaborative work spans institutions including Michigan Technological University and the University of Miami, where he delivered seminars on performance-based wind design frameworks. The lab maintains active research partnerships through the National Wind Institute, focusing on computational frameworks for infrastructure resilience. The BRI Lab operates as a specialized research unit within Texas Tech's wind engineering ecosystem, developing the WiRA software for reliability assessment and performance-based wind design. Current projects emphasize neural operator implementations for stochastic structural response and real-time hurricane damage forecasting systems.

• Power Systems
• Renewable Energy Integration
• Smart Grids
• +۷ مورد دیگر

Professor Tapan Saha is a faculty member at The University of Queensland's School of Information Technology and Electrical Engineering. His research focuses on modern power systems, including renewable energy integration, smart grid technologies, transformer condition monitoring, and distributed energy resources management. He leads investigations into dynamic grid operation, cybersecurity for power networks, and sustainable energy transitions. His core research explores: Power system stability and control under high renewable penetration Advanced diagnostics for electrical assets using AI and signal processing Peer-to-peer energy markets and transactive control systems Dynamic operating envelopes for distribution networks Cyber-physical security for critical infrastructure Recent publications demonstrate strong emphasis on grid modernization challenges, particularly in voltage regulation, demand response, and distributed resource integration. His work frequently combines theoretical modeling with hardware validation.