جست‌وجوی استاد و پژوهشگر

• Plasma Technology
• Photovoltaics
• Renewable Energy Systems
• +۳ مورد دیگر

Christoph Ellert is a Full Professor at HES-SO Valais-Wallis, part of the School of Engineering and Technology and IT Department. He holds a PhD in Physics from the University of Freiburg (1995), followed by postdoctoral research at the National Research Council Ottawa (Canada) and CEA Grenoble/Paris (France). His expertise spans plasma technology, photovoltaics, and renewable energy systems. Research Focus: Ellert leads projects on plasma-enhanced thin film deposition, DC microgrids for renewable energy integration, green hydrogen production, and plasma-based food decontamination. Key innovations include a novel DC microgrid with predictive energy management, plasma reactors for solar thermal applications, and cold plasma systems for sterilizing food powders. Projects: Developed a semi-autonomous DC-microgrid with 700V bus, integrating PV, battery storage, and electrolysis (2017-2019) Launched a plasma-based food powder sterilization system (2014-2015) Pioneered PECVD methods for hematite thin films (2014-2015) Advanced electrolyzer design for industrial scaling (2022) Lab Infrastructure: Ellert oversees facilities at HES-SO Valais-Wallis including a plasma deposition lab, DC microgrid testbed, and biogas upgrading demonstrator. Collaborates with academia (EPFL, HEIA-FR) and industry partners (Oerlikon Solar, Studer Innotec).

Anne Barrosمشاهده پروفایل

پژوهشگر

• Resilience Engineering
• Optimization
• Critical Infrastructure Networks
• +۴ مورد دیگر

Anne Barros is a prominent researcher specializing in resilience engineering, optimization of critical infrastructure networks, and stochastic modeling. Her work focuses on enhancing the reliability and resilience of power systems, telecommunications networks, and interdependent infrastructures under uncertainty. She has contributed significantly to the development of maintenance strategies, condition-based monitoring systems, and decision-making frameworks under stochastic environments. Key research areas: Resilience quantification, stochastic optimization, infrastructure interdependencies, 5G communication reliability, and climate change impact modeling. Co-authored over 50 publications including articles in top journals and conference proceedings. Her recent work emphasizes the integration of reinforcement learning techniques with maintenance optimization for industrial systems. Collaborations include projects on pandemic control strategies, smart grid resilience, and disaster recovery modeling. Barros' research has been applied to real-world systems such as offshore wind farms, railway-power networks, and critical infrastructure coordination frameworks. She actively participates in international conferences and publishes across interdisciplinary domains including reliability engineering, operations research, and systems engineering.

Duncan Callawayمشاهده پروفایل

دانشیار

• Power Systems
• Energy Efficiency
• Renewable Energy Integration
• +۳ مورد دیگر

Duncan Callaway is an Associate Professor of Energy and Resources at UC Berkeley with an affiliate appointment in Electrical Engineering and Computer Science. He also serves as the Chair of the Energy and Resources Group (ERG) and is a Faculty Scientist at Lawrence Berkeley National Laboratory. His work focuses on emerging energy technologies, grid operations, and data-driven solutions for energy systems. Callaway holds a Ph.D. in Theoretical & Applied Mechanics from Cornell University and has industry experience with Davis Energy Group and PowerLight Corporation. His research emphasizes quantifying impacts of new technologies on power systems, developing control systems for grid integration, and advancing energy efficiency strategies. Key areas include renewable energy integration, smart grid technologies, and environmental justice in energy policy. Callaway teaches courses on energy systems and data science applications in energy. Education: Ph.D., Theoretical & Applied Mechanics, Cornell University, 2001 B.S., Mechanical Engineering, University of Rochester, 1995 Callaway's recent work explores peer-to-peer energy markets, grid stability in inverter-dominated systems, and equity implications of electrification policies. He received the NSF CAREER Award (2015) and has published extensively on machine learning for grid optimization, wildfire risk mitigation, and residential energy access. His lab develops open-source simulation tools (e.g., PowerSimulations.jl) and collaborates on hardware-in-loop testing for grid technologies. Current projects address climate-aware grid planning, decentralized energy storage, and the socio-technical challenges of energy transitions.

• Electric Power Systems
• Energy Economics
• Energy Policy Analysis
• +۳ مورد دیگر

Michel Rivier Abbad is a Full Professor at the Electrical Engineering Department of Universidad Pontificia Comillas (IIT), where he has held academic and leadership roles since 1988. His career spans energy economics, electricity market modeling, and regulatory frameworks, with extensive consulting for entities like Iberdrola, World Bank, and European Commission. Education: Ph.D. in Electrical Engineering (Universidad Pontificia Comillas, 1998) Leadership: Former Director of IIT (2002–2008) Research Focus : His work addresses electricity market design , renewable energy integration , transmission expansion planning , and energy system optimization . Recent studies examine grid reinforcement under high renewable penetration and reliability mechanisms for decarbonized systems. Scientific Contributions : Over 50 journal publications and 60 projects focus on European energy market reform , Iberian reliability options , and Latin American interconnections . Collaborations with institutions like MIT and European University Institute highlight his global expertise.

Salem Elsaiahمشاهده پروفایل

استادیار

• Power Systems
• Renewable Energy
• Microgrids
• +۳ مورد دیگر

Salem Elsaiah is an Assistant Professor in the Department of Electrical Engineering at the College of Innovation, Discovery and Enterprise, Alvernia University, located at the John R. Post Center at Reading CollegeTowne. His primary affiliation demonstrates active engagement in power systems and renewable energy research, with a focus on modern electrical engineering challenges. Professor Elsaiah's research spans: Power System Resilience : Developing optimization methods for grid reliability under extreme conditions Renewable Integration : Analyzing PV systems and microgrid performance Electric Vehicles : Studying grid impacts and hosting capacity solutions Maritime Energy Systems : Designing hybrid power systems for marine applications His publications consistently address operational challenges in modern energy infrastructure. Analysis of his 15 most recent publications (2016-2022) reveals three dominant themes: Reliability modeling of renewable-integrated grids (7 publications) Optimization techniques for distribution networks (5 publications) Maritime and transportation electrification (3 publications) Notably, his work combines theoretical frameworks with practical implementations, including real-time PV systems and experimental marine prototypes.

• Demand Response
• Energy Systems Optimization
• Microgrids
• +۵ مورد دیگر

Dr. Francisco Martín Martínez is an Associate Professor at the Institute of Technological Research (IIT) within the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University. He combines teaching with research in energy systems, focusing on microgrids , demand flexibility , and renewable energy integration . Industrial Engineering (Electrical Specialization), 2013 Research Master's in Engineering Systems Modeling, 2015 PhD in Electrical Engineering, 2017 His research spans energy transition , prosumer models , aggregator systems , and transport electrification . He has developed the SPLODER optimization model and contributed to 16 journal publications and 3 book chapters on grid flexibility and smart systems. Recent publications (2022–2025) highlight trends in DER optimization , aggregator business models , and prosumer participation . These works analyze Spanish and European electricity systems , focusing on renewable integration and market design . Scientific recognitions include: ANECA certifications (Assistant, Associate, and Private Professor) Six-year research accreditation (2014–2019) He supervises PhD and master's theses and leads industry projects with companies like Endesa , Iberdrola , and Repsol . His work bridges academic research and startup innovation (co-founder of Stemy Energy, 2018–2024).

Derek C Nealمشاهده پروفایل

استادیار

• Power Systems
• Microgrids
• Smart Grids
• +۷ مورد دیگر

Lt Col Derek C. Neal is an Assistant Professor of Electrical Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, Ohio. He is affiliated with the Department of Electrical Engineering within the Graduate School of Engineering and Management. His career combines military aviation expertise with academic research in advanced power and communication systems. Education: BS in Electrical Engineering, United States Air Force Academy, CO (2004) MS in Electrical Engineering, University of Idaho, Moscow, ID (2013) DPhil in Engineering Science, University of Oxford, UK (2024) Derek Neal's research focuses on modern power infrastructure, particularly microgrids, smart grids, demand-side management, and powerline communication . His work emphasizes reliable and efficient energy systems in isolated and rural environments. He also explores remote sensor networks, integrating energy generation and storage for autonomous data collection. His research bridges engineering and real-world deployment in challenging environments. His recent publications show a strong trend in communication systems for islanded microgrids , combining power engineering with data transmission. Topics include broadband powerline communication, performance prediction models, and techno-economic analysis of microgrid networks. Earlier work includes rural energy management and sensor arrays for climate monitoring, indicating a long-standing interest in off-grid and remote applications. Scientific Awards: No awards listed in the provided text. Derek Neal has served as a research director in unmanned aerial vehicles at the U.S. Air Force Academy and has operational experience influencing his applied research. While no formal grants or student advisement are mentioned, his leadership roles in both academic and military domains suggest mentorship and project oversight. He served in key planning and operations roles, including Chief of Tanker Plans and Exercises and Deputy Chief of Special Operations Air Refueling. He is associated with research in power systems and sensor networks, particularly through projects like the Mountain Ecosystem Sensor Array (MESA) and integrated energy systems for isolated data collection. These reflect a lab-like or team-based approach to field-deployable and resilient energy solutions, though no formal lab name is provided.

Hassan Gholamiمشاهده پروفایل

دانشیار

• Solar Energy Systems
• Building-Integrated Photovoltaics (BIPV)
• Urban Solar Energy Planning
• +۷ مورد دیگر

Hassan Gholami is an Associate Professor at the University of Stavanger, affiliated with the Department of Safety, Economics, and Planning within the Faculty of Science and Technology. He also serves as a consultant at Multiconsult in the solar and smart grid division, contributing extensive expertise in renewable energy systems. His academic role emphasizes integrating solar energy into urban and regional planning, with a strong focus on education and student mentorship. His research interests lie at the intersection of solar energy and urban sustainability, particularly in building-integrated photovoltaics (BIPV), solar energy planning, and smart grid technologies. His work spans technical, economic, and environmental assessments of solar systems, with a special focus on optimizing energy performance in urban environments. He actively engages in feasibility studies, lifecycle cost analyses, and policy evaluations to advance the adoption of solar technologies. The recent body of his publications indicates a strong trend toward holistic, multi-criteria evaluations of solar energy deployment in cities. His work covers solar potential mapping, BIPV economic viability, climate impacts, and integration into building envelopes. He frequently analyzes both technical performance and financial feasibility, often using real-world case studies from Norway and Europe. His interdisciplinary approach combines engineering, economics, and urban design to promote sustainable energy transitions. Hassan Gholami has not received any explicitly mentioned scientific awards in the provided text. However, his prolific publication record in high-impact journals such as Solar Energy , Energies , and Energy Conversion and Management underscores his scholarly impact. He mentors master’s students in solar energy and smart grid technologies and contributes to various solar energy projects at UiS. While no specific grants are listed, his applied research and industry consultancy suggest active involvement in funded or collaborative initiatives. His dual role in academia and industry highlights his commitment to translating research into practical, scalable solutions. He is involved in several research and dissemination activities, including workshops at Nordic Edge Expo, public interviews, and collaborative book chapters. These efforts reflect his engagement with both technical and public audiences, promoting awareness and adoption of solar energy solutions in Norway and beyond.

Preetham Goliمشاهده پروفایل

استاد آموزشی

• Power Systems Engineering
• Distribution System Planning
• Electric Vehicle Grid Integration
• +۱۰ مورد دیگر

Preetham Goli is an Associate Teaching Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is affiliated with the Division of Energy, Matter, and Systems, where he contributes to both teaching and research in power systems engineering. Educational Background: B.E. in Electrical Engineering, Andhra University, India Ph.D. in Electrical Engineering, University of Houston, 2014 Dr. Goli's research focuses on the modernization and resilience of power systems, with core interests including distribution system planning, integration of electric vehicles into the grid, microgrid protection, and cybersecurity challenges in power infrastructure. He also explores the application of machine learning techniques for monitoring and enhancing power system reliability. His work addresses both technical and educational aspects of power engineering, including post-disaster restoration of critical infrastructure and operational technology (OT) security. Although no publications are listed in the provided text, his active engagement in research is evident through his professional service and ongoing academic contributions. Scientific Awards: Scholarship recipient for the year 2011 by American Society of Indian Engineers (ASIE) Excellence in Teaching Award, School of Computing and Engineering, UMKC, 2021 Dr. Goli is actively involved in academic service, mentoring, and curriculum development. As a dedicated educator, he advises students and contributes to power engineering education. He has been recognized for excellence in teaching and maintains strong professional engagement through grant-related research activities focused on grid resilience and smart grid technologies. Laboratories and Research Teams: While specific lab names are not mentioned, Dr. Goli is part of the research ecosystem within the Division of Energy, Matter, and Systems at UMKC, which supports interdisciplinary work in energy systems, smart grids, and infrastructure resilience. His collaborations likely involve teams working on grid integration, protection systems, and cybersecurity for critical energy infrastructure.

Homam Nikpey Somehsaraeiمشاهده پروفایل

دانشیار

• Energy Systems
• Micro Gas Turbines
• Carbon Capture and Storage
• +۱۲ مورد دیگر

Homam Nikpey Somehsaraei is an Associate Professor in the Department of Energy and Petroleum Engineering at the University of Stavanger, Faculty of Science and Technology. His research focuses on sustainable energy systems, with an emphasis on micro gas turbines, carbon capture, renewable integration, and artificial intelligence applications in energy modeling and optimization. He is actively involved in advancing decarbonization technologies and improving energy efficiency in industrial and residential sectors. His research interests span a wide array of topics including micro gas turbines , CO 2 heat pumps , hydrogen energy , phase change materials , and AI-driven energy system modeling . He applies artificial neural networks and machine learning techniques to optimize performance, enable condition monitoring, and enhance data reliability in distributed energy systems. His work often integrates experimental validation with theoretical modeling to ensure practical applicability. The recent publications highlight a strong trend towards decarbonization , renewable integration , and smart energy systems . Key themes include solar-assisted heat pumps, hydrogen applications in steel production, and AI-based optimization of micro gas turbines. These works reflect a multidisciplinary approach combining mechanical engineering, energy systems, and computational intelligence to address global sustainability challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While no formal list of students or grants is provided, Dr. Nikpey Somehsaraei has supervised or co-supervised numerous research projects, particularly in the areas of micro gas turbines and AI applications in energy. His collaborations with industry and academic partners suggest active involvement in funded research initiatives, though specific grant details are not listed. Labs and Teams: He is associated with advanced research in energy systems at the University of Stavanger, likely contributing to or leading work within experimental and computational labs focused on micro gas turbines, carbon capture, and sustainable heating technologies. His frequent collaboration with researchers such as Mohsen Assadi and Ward De Paepe indicates participation in a dynamic, interdisciplinary research team.

Xueping Liمشاهده پروفایل

استاد

• Complex Systems Modeling, Simulation and Optimization
• Health Information Technology & Mobile Health
• Health Care Systems Engineering
• +۴ مورد دیگر

Xueping Li is a Professor and Dan Doulet Faculty Fellow in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville. He also serves as Co-Director of the Health Innovation Technology and Simulation (HITS) Lab and Director of the Ideation Laboratory (iLab). University: University of Tennessee, Knoxville College: Tickle College of Engineering Department: Department of Industrial and Systems Engineering Education: PhD in Industrial Engineering – Arizona State University MS in Computer Science – Nankai University BS in Automatic Control & Computer Science – Nankai University Research Interests: Dr. Li's research spans a broad spectrum of systems engineering, with a focus on complex systems modeling, simulation, and optimization . His work is applied in healthcare systems engineering , digital twins , cyber-physical systems , and supply chain logistics . His recent work integrates machine learning and AI into real-world systems such as predictive maintenance , drone delivery networks , and energy microgrids . Scientific Awards & Honors: Chancellor’s Research and Creative Achievement Award, UTK (2023) Fellow, Institute of Industrial and Systems Engineers (IISE) (2023) Harvey J. Greenberg Research Award, INFORMS Computing Society (2022) Dan Doulet Faculty Fellow (2021) Fellow, Center for Transportation Research, UT (2018) Best Paper Awards at IISE and ISERC conferences (2018, 2015) Outstanding Teaching Award, College of Engineering, UT (2016) Research Funding & Leadership: Dr. Li has led or co-led over 30 externally funded projects totaling more than $15 million from agencies such as the NSF, NIH, DOE, HRSA, and ARPA-E . He currently directs projects on digital twins for nuclear maintenance, AI-driven freight transportation, and mHealth immunization systems. PI: "RECOIL" – ARPA-E Cognitive Freight Digital Twin ($1.9M) PI: "EMRAA" – DOE Predictive Maintenance Analytics ($1.2M) Co-PI: "SmartSHOTS" – TN Dept. of Health mHealth Initiative ($1.29M) Labs & Teams: HITS Lab: Health Innovation Technology and Simulation Lab – Co-Director iLab: Ideation Laboratory – Director

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +۳ مورد دیگر

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57

• Power System Optimization
• Global Optimization
• Stochastic Optimization
• +۶ مورد دیگر

Mahdi Mehrtash is an Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Nevada, Reno's College of Engineering. He concurrently serves as an Assistant Research Professor at Johns Hopkins University's Whiting School of Engineering, affiliated with the Ralph O'Connor Sustainable Energy Institute (ROSEI). His academic appointments span multiple institutions with active research roles in power systems and energy optimization. His educational background includes: Ph.D. in Electrical Engineering (Power) from Louisiana State University (2019, GPA 4.0/4.0) M.Sc. in Electrical Engineering (Power) from Shiraz University, Iran (2014, First Rank) B.Sc. in Electrical Engineering (Power) from Shahid Chamran University, Iran (2012, First Rank) Mehrtash's research focuses on advanced optimization techniques for power systems, with particular emphasis on global/stochastic/distributed optimization methods applied to zero-energy buildings, electricity markets, and power system expansion planning. His work addresses critical challenges in transmission/generation/distribution expansion planning, security-constrained unit commitment, and optimal power flow under high renewable penetration scenarios. He actively develops computational frameworks for large-scale power system analysis, including the Global-TEP solver for AC transmission expansion planning. His recent publications reveal a strong trend toward decarbonization-focused research, with increasing emphasis on market design under deep decarbonization, resource adequacy in low-carbon grids, and clean energy supply chain analysis. The publications consistently integrate stochastic optimization methods with practical power system applications, demonstrating expertise in both theoretical frameworks and real-world implementation. His scientific recognition includes: Senior Member of the Institute of Electrical & Electronics Engineers (IEEE) Mehrtash advises prospective graduate students through the University of Nevada, Reno's Graduate School, seeking candidates with optimization and power engineering expertise. His research is funded by major entities including the U.S. Department of Energy, National Science Foundation, and State of Maryland. He maintains active research groups at both UNR and ROSEI, focusing on developing the HOPE (Holistic Optimization Program for Electricity) framework and advancing transmission expansion planning methodologies. His GitHub repositories showcase computational tools for large-scale test systems and market research, reflecting strong software engineering capabilities alongside domain expertise.

Leonardo Badiaمشاهده پروفایل

دانشیار

• Mathematical Optimization
• Telecommunications
• Game Theory
• +۴ مورد دیگر

Leonardo Badia is an Associate Professor at the University of Padova . He holds a PhD in Information Engineering from the University of Ferrara and has held academic positions at IMT Lucca Institute and the University of Padova since 2016. Research Interests : His work focuses on mathematical optimization for communication networks, including Markov models for protocol analysis, cross-layer optimization of routing/scheduling/resource allocation, Age-of-Information (AoI) , energy harvesting , and game theory applications. He has published over 200 papers in top-tier journals and conferences. Recent Articles highlight his contributions to AoI optimization, adversarial modeling in CPS, strategic cooperation in IoT/metaverse, and energy-efficient network protocols. His work spans telecommunications , game theory , and networking , with subfields like hybrid ARQ , multi-radio resource management , and QoS-aware scheduling . Awards : Best Paper Awards at IEEE MobiWac 2005, IEEE CAMAD 2006, and IEEE Globecom 2007.

Holger Borcherdingمشاهده پروفایل

استاد

• Power Electronics
• Electrical Drive Technology
• Electromagnetic Compatibility (EMC)
• +۵ مورد دیگر

Holger Borcherding is a Professor of Power Electronics, Electrical Drive Technology, and EMC at the Ostwestfalen-Lippe University of Applied Sciences (TH-OWL) . As a board member of the Institute for Energy Research (iFE) and the Open Direct Current Alliance (ODCA) , he leads research on intelligent energy systems and industrial DC networks. His Power Electronics and Electrical Drive Technology working group focuses on energy-efficient solutions for industrial applications, including the DC-INDUSTRIE projects. Education: Studied Electrical Engineering at the University of Hanover (1985-1991) PhD in Power Electronics from the University of Hanover (1999) Research interests span industrial DC grids, fast-switching power semiconductors, highly integrated converters for electromobility, ultra-fast electronics prototyping, EMC optimization, and 3D electronics. His work bridges theoretical advancements with practical implementation, particularly in manufacturing and sustainable energy systems. Publication trends show expertise in DC microgrid stability, capacitor lifespan modeling, converter design, and energy efficiency improvements. Key subfields include resonant oscillations, power quality, industrial automation, and semiconductor reliability. Scientific awards: 2013 Research Prize, TH Ostwestfalen-Lippe 2014 Transfer Prize OWL (IHK Lippe zu Detmold and IHK Bielefeld) 2019 IEEE ICDCM Best Paper Award 2024 Transfer Prize, TH Ostwestfalen-Lippe Supervision and grants include PhD mentorship and leadership in projects like DC-INDUSTRIE 2 , IDE3AL , and UmSiCht . He has secured funding for innovations in DC-powered busbars, 3D circuit board construction, and self-optimizing drilling systems. Labs and teams include the iFE Institute at TH-OWL, where he collaborates with research associates such as Benjamin Jerwan, Simon Cepin, and Tim Stuckmann. He also works with industry partners like Lenze SE and academic alliances including the Mechatronics Center Hannover and the National Platform for Electromobility.