جست‌وجوی استاد و پژوهشگر

Jason Fordمشاهده پروفایل

استاد

• Robotics
• Decision Systems
• Autonomous Systems
• +۴ مورد دیگر

Jason Ford is a Professor of Electrical Engineering at Queensland University of Technology (QUT), leading research in trustworthy autonomous systems and decision-making under uncertainty. He holds positions in QUT's Centre for Robotics and Centre for Data Science. Ford earned his PhD from the Australian National University (ANU) and has over 20 years of experience in aerospace, energy, and defense sectors. His research focuses on model-based filtering, estimation, and decision systems for dynamic environments, with applications in aerial autonomy, infrastructure inspection, and low-signal-to-noise detection. Education: B.Sc. and B.E. (1995), PhD (1998), all from ANU. Professional Experience: Research Scientist at DSTG (1998-2004), Research Fellow at UNSW (2004-2005), QUT faculty since 2005, promoted to Professor in 2019. Research Interests: Robust autonomous systems, vision-based sense-and-avoid, model-driven decision systems, and resilient robotic technologies. His work on ROAMES asset management systems has saved Queensland $40M/year and won international awards. Awards: 2019 Academic of the Year (Australian Defence Industry), multiple best paper awards, and industry recognition for collision avoidance and UAV technologies. Grants: Over $10M in competitive research funds since 2009. Supervision: 8 completed HDR students since 2008, teaching control systems and autonomous systems to 1000+ undergraduates. Labs/Teams: Program Lead for Decision and Control in QUT's Robotics Centre, collaborator with industry partners like Insitu Pacific and Caterpillar.

• Design Optimization
• Computational Intelligence
• Mechanical Engineering
• +۹ مورد دیگر

Assoc Prof Tai Kang is an Associate Professor at the School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He holds a B.Eng. (First Class Honours) from the National University of Singapore and a Ph.D. from Imperial College London. He has been a faculty member at NTU since 1995 and held a concurrent appointment with the Singapore-MIT Alliance (2001-2004). His research focuses on design optimization, computational intelligence, compliant mechanisms, and critical infrastructure resilience. Education: B.Eng. (First Class Honours) in Mechanical Engineering, National University of Singapore, 1990 Ph.D. in Mechanical Engineering, Imperial College London, 1995 Research Interests: Design automation and optimization Genetic algorithms and evolutionary computation Topology and shape optimization Compliant mechanisms and soft robotics Critical infrastructure vulnerability analysis Machine learning applications in engineering His work spans theoretical advancements in optimization algorithms to practical applications in aerospace systems, manufacturing, and infrastructure resilience. He has published over 70 peer-reviewed papers and co-authored a book on Probability Collectives. His research group has developed novel methodologies for compliant mechanism design, cooling system optimization, and flat pattern unfolding for 3D structures. Grants & Advising: Supervised 19 graduate students and co-authored numerous funded projects in mechanical design optimization, energy systems, and infrastructure resilience. Collaborates with industry partners on projects like offshore wind turbine substructures and fuel cell-powered marine vessels. Labs/Teams: Active in the Design Optimization Lab and Critical Infrastructure Resilience Research Group at NTU.

• Energy Policy
• Renewable Energy
• Urban Development
• +۳ مورد دیگر

Thomas Hoppe is a Professor in the Department of Technology, Policy and Management at the School of Organisation & Governance. His research focuses on energy transitions, urban sustainability, and policy analysis. He leads projects like TIPPING+ (exploring clean-energy transitions in coal regions) and 'Schools as energy embassies' (community engagement in energy projects). His work integrates technical, social, and governance dimensions of energy challenges. Research Interests: Energy policy design, renewable energy adoption, smart city development, and sociotechnical transitions. He explores how local ownership, pricing policies, and community engagement shape energy projects, particularly in the Netherlands. Key Projects: TIPPING+ : Investigates tipping points for clean-energy transitions in coal-intensive regions. Schools as energy embassies : Examines schools' roles in neighborhood energy transitions. Media Contributions: He has engaged in public discussions on sustainable transitions, emphasizing the need for social innovation alongside technological solutions. Grants & Collaborations: Works with interdisciplinary teams and policymakers to advance energy research. Recent collaborations include analyses of wind energy projects and hydrogen transitions in the Netherlands.

Muhammad Shahzad Javedمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Systems
• Energy Systems Modeling
• Socio-Techno-Economic-Environmental Analysis
• +۴ مورد دیگر

Muhammad Shahzad Javed is a Postdoctoral Fellow at the University of Oslo's Energy Systems Section, focusing on inclusive and efficient net-zero energy systems. His research integrates socio-technical perspectives, particularly involving adolescents' visions for future energy systems through the 'Wind for Future' project. He holds a PhD from Shanghai Jiao Tong University, where he studied techno-economic and environmental viability of off-grid renewable systems. Education: PhD in Renewable Energy Systems, Shanghai Jiao Tong University (Focus: Techno-Economic & Environmental Analysis) Prior degrees not specified in records Research Focus: His work emphasizes multi-objective optimization of renewable energy systems, resilience against extreme weather, and socio-techno-economic-environmental analysis. He collaborates internationally with institutions like MDH University (Sweden), AGH University (Poland), and Texas A&M University. Key Projects: 'Wind for Future': Integrating youth perspectives into energy system modeling via workshops and high-resolution power system models. Designing resilient off-grid systems for remote communities, focusing on reliability under stochastic outages and multi-annual variability. Collaborations & Impact: His publications in SCI journals address hybrid systems, energy storage, and climate resilience, with citations on Google Scholar and ResearchGate. He advocates for energy justice and interdisciplinary approaches in renewable energy systems.

Ertugrul Camمشاهده پروفایل

استاد مدعو

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

Ertugrul Cam holds the position of Guest Professor at Aalborg University within the Faculty of Engineering and Science , specifically in the Electric Power Systems and Microgrids department. His affiliation is listed under AAU Energy, a key research unit at the university. His research focuses on advanced energy systems, including microgrid design, renewable energy integration, and smart grid technologies. Notable interests include optimizing power distribution networks and enhancing grid stability through innovative storage solutions. While no specific publications or awards are detailed here, his work aligns with current trends in sustainable energy infrastructure. No advising records, grants, or lab affiliations are explicitly mentioned in the provided text.

• Renewable Energy Systems
• Photovoltaic Technology
• Microgrid Optimization
• +۳ مورد دیگر

Pablo Díaz Villar is an Associate Professor at the Department of Teoría de la Señal y Comunicaciones, Universidad Autónoma de Madrid (UAM). He holds a Ph.D. from Universidad Politécnica de Madrid (2003) with a thesis on photovoltaic system reliability for rural electrification. His research focuses on renewable energy systems, microgrid optimization, and energy storage technologies. He leads the TM Tecnologías Mecánicas, Eléctricas y Térmicas research group. Key research interests include photovoltaic system design, evolutionary algorithms for energy optimization, and sustainable rural electrification. His work spans theoretical models and field implementations in Latin America. Recent studies address cooling methods for PV modules, Industry 4.0 energy management, and adaptive scheduling in microgrids. Publications emphasize practical applications of renewable energy in manufacturing, smart grids, and educational tools like PVLearning for photovoltaic education. His work bridges algorithmic innovation with real-world energy challenges.

Francisco Javier Rodríguez Sánchezمشاهده پروفایل

استاد

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۳ مورد دیگر

Francisco Javier Rodríguez Sánchez is a Professor at the Department of Electronics, Universidad de Alcalá. He leads the GEISER research group focusing on Electronic Engineering Applied to Renewable Energy Systems. His work emphasizes photovoltaic systems, IoT integration, and smart grid technologies. He holds a Ph.D. from Universidad de Alcalá (1996) with a thesis on robotic vision for road detection. Research interests include renewable energy systems, power electronics, and digital twin applications for energy infrastructure. His recent work explores real-time monitoring of photovoltaic panels, IoT-enabled autonomous inspection frameworks, and decentralized energy management strategies using blockchain and multiprotocol frameworks. Publications highlight innovations in PV panel fault diagnosis, digital twin-based stability analysis, and cybersecurity for nanogrids. He has contributed to high-performance IoT modules and low-cost digital twin implementations for energy systems. His research integrates advanced control systems with renewable energy integration challenges. Professional activities include supervision of academic theses and contributions to agent-based architectures for smart grid monitoring. His work bridges theoretical advancements with practical implementations in energy systems, emphasizing scalability and real-world applicability.

• Electrical Engineering
• Renewable Energy
• Smart Grids
• +۵ مورد دیگر

Nicola Sorrentino is an Assistant Professor at the Department of Mechanical, Energy and Management Engineering of the University of Calabria since 2004. He teaches courses on Electrical Systems Engineering and Electricity Market for Management Engineering programs. A member of the Graduate School 'Archimedes' , he coordinates modules in the University Master in Energy Management and has served on technical committees for energy-related consortia. Education: PhD in Computer and Systems Engineering (1999), University of Calabria. His research focuses on electrical power systems control and management under market dynamics , particularly addressing smart grid technologies , renewable energy integration , and energy communities . Key projects include participation in COFIN, PRIN , and PON initiatives for distributed generation and grid optimization. Recent publications (2024-2025) emphasize renewable energy communities , machine learning for energy forecasting , and nanogrid control strategies . The work explores energy sharing , imbalance cost reduction , and storage optimization in decentralized systems. Scientific Award: 1999 scholarship for 'Integrated control systems for real-time control of the engines' (University of Salerno). As a co-founder of academic spin-off Crete Energie Speciali srl , he promotes renewable energy production in small municipalities through the Laboratorio di Sistemi Elettrici per l'Energia e le Fonti Rinnovabili (LASEER) , which develops power electronics , smart grid prototypes , and active filtering devices .

• Wireless Networks
• Edge Computing
• Reinforcement Learning
• +۳ مورد دیگر

Prof. Hassine Moungla is a Lecturer at Telecom SudParis, associated with the SAMOVAR research institute and the NeSS group. His research focuses on wireless networks, edge computing, reinforcement learning, IoT systems, vehicular networks, and machine learning applications in network optimization. He has contributed to over 50 publications since 2004, addressing topics such as UAV-assisted networks, intelligent reflecting surfaces (IRS), and blockchain-based network slicing. Education: PhD in Computer Science (focus on network management and policy-based systems). Key Research Themes: Edge computing architectures, reinforcement learning for network optimization, IoT mobility management, and vehicular networks. His work often intersects with industry challenges in 5G/6G, smart cities, and autonomous systems. Notable projects include optimizing UAV deployment using deep learning and developing anomaly detection mechanisms for mobile networks. Grants & Collaborations: Active in EU-funded projects on edge computing and has collaborated with institutions like INRIA and the University of Paris-Saclay.

Ali Bazziمشاهده پروفایل

استاد

• Fault-tolerant power electronics
• Electric motor drives
• Distributed generation (solar photovoltaics, wind)
• +۳ مورد دیگر

Dr. Ali Bazzi is the Madonna Professor in Power Engineering at the University of Connecticut (UConn), within the Department of Electrical and Computer Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) and B.E./M.E. degrees from the American University of Beirut (AUB). He co-founded Valcon Labs Inc., a deep-tech startup focused on aircraft electrification, and previously worked at Delphi Corp. and Bitrode Corporation. His research focuses on fault-tolerant power electronics, electric motor drives, renewable energy integration (solar/wind), and WBG semiconductor applications. Education: Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign M.E., Electrical and Computer Engineering, American University of Beirut B.E., Electrical and Computer Engineering, American University of Beirut Research Interests: Dr. Bazzi's work emphasizes reliability, efficiency, and fault mitigation in power systems, including extraterrestrial microgrids, electric vehicle propulsion, and high-voltage insulation technologies. His contributions span real-time control algorithms, fault diagnosis, and advanced materials for medium-voltage drives. Publications & Patents: With over 120 peer-reviewed publications and 10 U.S. patents, his work includes innovations in active EMI filters, insulation breakdown prediction, and cyber-physical testbeds for space habitats. Recent trends highlight space microgrid reliability, WBG semiconductor applications, and fault-tolerant drive systems. Awards & Grants: Awarded the Madonna Professorship, he has led grants from UTC and industry partners. His patents include methods for fault diagnosis, data-driven anomaly detection, and insulation material optimization. Labs & Teams: Director of the Power Electronics and Drives Advanced Research Laboratory at UConn, he collaborates with industry partners like Valcon Labs on aircraft electrification and propulsion systems.

Graeme Burtمشاهده پروفایل

استاد

• Decentralised energy
• Smart grid protection and control
• Electrification of aerospace and marine propulsion
• +۷ مورد دیگر

Professor Graeme Burt is a leading academic in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is actively involved in research, supervision, and leadership in power systems, smart grids, and sustainable energy technologies. Research Interests: Decentralised energy and smart grid protection and control Electrification of aerospace and marine propulsion DC and hybrid power distribution Experimental systems testing and validation with power hardware-in-the-loop (PHIL) His recent publications demonstrate a strong focus on power system resilience, control strategies for renewable integration, and advanced protection schemes in DC microgrids. These works span power electronics, control theory, and real-world experimental validation, reflecting a multidisciplinary approach to modern energy challenges. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: Professor Burt is actively supervising research and hosting academic visitors. He is a Principal Investigator and Co-investigator on multiple major research projects funded by the European Commission (Horizon Europe) and industry partners such as Analog Devices. These projects focus on converter-dominated power systems, standardization in waveform uncertainty, and hydrogen production integration with the grid. Labs and Teams: He manages the Dynamic Power Systems Laboratory, a key facility for hardware-in-the-loop testing and validation of power systems. His collaborative network includes researchers across institutions and countries, contributing to a robust research ecosystem in power engineering and sustainable energy.

Junho Hongمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Cybersecurity
• Smart Grids
• +۷ مورد دیگر

Junho Hong is an Associate Professor at the University of Michigan–Dearborn's Department of Electrical and Computer Engineering, College of Engineering and Computer Science. He holds a PhD in Electrical Engineering from Washington State University (2014), with prior roles at ABB (2014–2019) and Ford Motor Company (2021 sabbatical). His research spans cybersecurity of energy delivery systems, AI applications in power systems, and cyber-physical systems. Doctor of Philosophy in Electrical Engineering, Washington State University, USA (2014) Master of Science in Electrical Engineering, Myongji University, South Korea (2010) Bachelor of Science in Electrical Engineering, Myongji University, South Korea (2008) Junho's research focuses on securing critical energy infrastructure through machine learning, anomaly detection, and advanced cybersecurity frameworks. His work includes projects on substation automation, HVDC systems, smart grids, and high-power EV chargers. He has secured grants from the U.S. Department of Energy, NSF, Ford, and South Korean institutions. Recent publications highlight his contributions to generative AI for anomaly detection, SDN-based cyber restoration, and physics-informed models for secure grid operations. His students have received notable awards, including the Rackham Predoctoral Fellowship and IEEE Best Paper Session. Senior Member, IEEE (2022–present) Associate Editor, IEEE ACCESS (2022–present) 13 US patents in energy cybersecurity He leads the Cyber-Physical System Lab for Energy Delivery Systems, which focuses on grid resilience, renewable integration, and advanced diagnostics.

• Power Systems Engineering
• Microgrid Technology
• Renewable Energy Integration
• +۳ مورد دیگر

Subhankar Ganguly is a Researcher III in Electrical Engineering at the National Renewable Energy Laboratory (NREL), specializing in Power Systems Engineering. His work focuses on enhancing microgrid stability and inverter-based resource integration through advanced simulations and hardware experiments. Research Interests: Power systems stability, microgrid controllers, renewable energy integration, and smart grid technologies. Key Contributions: Development of secondary control architectures, hardware-in-the-loop simulations, and machine learning-assisted PV inverter modeling. Email: Subhankar.Ganguly@nrel.gov Recent research highlights include grid-forming inverter performance analysis, multi-vendor system compatibility studies, and practical frameworks for microgrid flexibility. He actively collaborates on international projects, emphasizing scalable solutions for renewable energy systems.

Paul Komorمشاهده پروفایل

مدرس

• Renewable Energy
• Energy Efficiency
• Energy Policy
• +۴ مورد دیگر

Paul Komor is a Lecturer at the University of Colorado Boulder, where he has taught energy courses since 1997. He is currently a faculty affiliate of CU's Environmental Studies (ENVS) department and on the research faculty of CU's Renewable and Sustainable Energy Institute (RASEI). Additionally, since 2015, he has served as a Senior Advisor to the International Renewable Energy Agency (IRENA). His educational background includes a B.S. from Cornell University and M.S. and Ph.D. degrees from Stanford University. His professional journey has included teaching at Princeton University's Woodrow Wilson School and serving as a Project Director at the U.S. Congress' Office of Technology Assessment (OTA), where his 1992 report on Building Energy Efficiency significantly influenced the Energy Policy Act of 1992. Dr. Komor's research focuses on renewable energy and energy efficiency technologies, policies, and markets. His work spans practical applications in grid integration, distributed generation, and energy storage, with particular emphasis on policy frameworks that enable renewable energy deployment. His research demonstrates a consistent focus on bridging technical understanding with policy implementation, addressing challenges in both developed and developing contexts, including island power systems. His publications reveal a progression from foundational policy analysis to increasingly sophisticated examinations of grid integration challenges and market mechanisms. His notable honors include the Diebold Foundation Fellowship for European policy studies (2001), the 2006 MAP/Ming Visiting Professorship at Stanford University, and recognition as a contributor to the 2007 Nobel Peace Prize awarded to the Intergovernmental Panel on Climate Change (IPCC), for which he co-authored a chapter on Mitigation Options for Human Settlements. Diebold Foundation Fellowship for European policy studies (2001) 2006 MAP/Ming Visiting Professor of Energy and the Environment Nobel Peace Prize contributor (2007) as part of IPCC Dr. Komor has played a significant role in energy education, founding CU's energy certificate programs and serving as CU's Energy Education Director from 2009 to 2014. He has taught numerous courses including Energy Science & Technology, Renewable Energy Policy, and specialized field courses. His work with IRENA has expanded his international impact, particularly in developing practical guides for renewable energy deployment worldwide. His book Renewable Energy Policy (2004) has become required reading at multiple universities globally. As a faculty member at RASEI, Dr. Komor contributes to one of the nation's leading energy research institutes, collaborating with interdisciplinary teams to address complex energy challenges. His work bridges academic research, policy development, and practical implementation, making significant contributions to both scholarly understanding and real-world energy solutions.

Aadil Latifمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Battery Energy Storage
• Electric Vehicles
• +۴ مورد دیگر

Aadil Latif serves as a Researcher IV in Electrical Engineering at the National Renewable Energy Laboratory (NREL), working within the Grid Planning and Analysis Center under Energy Systems Analysis. His research focuses on grid modernization, renewable energy integration, and power system resilience with significant contributions to national energy transition initiatives. His primary research domains include: Renewable Energy systems integration Battery Energy Storage optimization Electric Vehicle grid impacts Power Systems engineering Electric Power Distribution modernization Inverter technology applications Distributed Energy Resources management Recent publications demonstrate expertise in advanced simulation techniques (HELICS co-simulation), neural network modeling for battery systems, and comprehensive grid resilience studies like the PR100 project for Puerto Rico. His work bridges theoretical research with practical grid modernization challenges, emphasizing scalable solutions for renewable integration. No scientific awards were documented in available sources. Student advising and grant funding details remain unspecified. Latif actively contributes to NREL's Grid Planning and Analysis Center, collaborating with multi-institutional teams on critical energy infrastructure projects including the PR100 initiative and advanced storage system analysis.