جست‌وجوی استاد و پژوهشگر

Eduardo Cotilla-Sanchezمشاهده پروفایل

دانشیار

• Power System Resilience
• Cascading Outages
• Microgrids
• +۵ مورد دیگر

Eduardo Cotilla-Sanchez is an Associate Professor and Associate School Head for Graduate Programs in the School of Electrical Engineering & Computer Science at Oregon State University. His research focuses on power system resilience, cascading outages, microgrids, and energy access. He holds an M.S. and Ph.D. in Electrical Engineering from the University of Vermont (2009, 2012). He teaches courses on power systems analysis, protection, and smart grids. Awards include the 2022 Inclusive Excellence Award and 2019 Graduate Mentoring Award. He leads the ECS Lab, which develops models for sustainable and resilient electricity infrastructure. His work integrates cyber-physical security, wide-area data analysis, and disaster resilience strategies. Key contributions include the COSMIC cascading outage simulator (GitHub repository) and studies on earthquake/GMD impacts. He serves as IEEE WG on Cascading Failures Secretary and SHPE Oregon Chapter President. His research emphasizes equity in energy access and STEM inclusion.

Jinsub Kimمشاهده پروفایل

دانشیار

• Machine Learning
• Power Systems
• Security
• +۳ مورد دیگر

Jinsub Kim is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on statistical signal processing, machine learning, and their applications in power systems and security. He earned a Ph.D. from Cornell University and a B.S. from KAIST. His work addresses challenges in cyber-physical systems, including adversarial detection and robust state estimation for energy grids. Education: Ph.D., Electrical and Computer Engineering, Cornell University (2014) B.S., Electrical Engineering, KAIST (2007) Research Interests: Security of machine learning, power system cybersecurity, statistical inference, optimization for renewable energy integration, and signal processing for cyber-physical systems. His recent work explores GPS spoofing attacks on power grid sensors and adversarial robustness in AI systems. Recent Contributions: His publications emphasize securing critical infrastructure through advanced signal processing and machine learning techniques. Notable work includes sparse error correction frameworks for power systems and probabilistic defenses against adversarial attacks. Professional Activities: Served as co-chair of the Data Analytics and Computation symposium at IEEE SmartGridComm 2020. Active in IEEE Signal Processing Society, including chapter leadership roles. Advising & Grants: Advised doctoral student Sharmin Kibria, who won a student paper award at IEEE GlobalSIP 2018. Research supported by grants focused on power system security and machine learning applications.

• Automation Engineering
• Power Systems
• Smart Grids
• +۳ مورد دیگر

Mikko Salmenperä is a University Instructor at Tampere University's Department of Automation Technology and Mechanical Engineering. His research focuses on smart grid technologies, substation automation, and secure communication systems. He holds a Master of Science (Technology) in Automation Engineering awarded in 2000. Key research interests include logic selectivity in power systems, event-based protocols, and cybersecurity for industrial automation. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. He has published extensively on topics such as GOOSE-based communication reliability, OPC UA security, and coordinated voltage control using IEC standards. Education: Master of Science in Automation Engineering (2000) Recent publications highlight advancements in secure layer 2 tunneling for substations and collaborative learning environments in engineering education. He has delivered invited lectures on secure integration solutions for smart grids and actively participates in industry-academia collaboration projects.

Mehdi Ferdowsiمشاهده پروفایل

استاد

• Power Electronics
• Energy Storage Technologies
• Smart Grids
• +۳ مورد دیگر

Mehdi Ferdowsi is a Professor and Interim Dean at the College of Engineering and Computing (CEC) at Missouri University of Science and Technology (Missouri S&T). He holds the Schlumberger Endowed Professorship in Electrical and Computer Engineering and served as NSF Program Director (2020-2022). His expertise spans power electronics, energy storage, smart grids, and wide bandgap devices. Education: PhD in Electrical Engineering from Illinois Institute of Technology (2004), MS from Sharif University of Technology (1999), and BS from the University of Tehran (1996). Research Interests: Focuses on DC-DC converters, electric vehicle systems, and high-voltage power conversion. He leads projects like the Missouri S&T Microgrid Demonstration and has authored over 200 publications. Awards: NSF CAREER Award (2007), multiple Outstanding Teaching Awards (2005-2020), and the IEEE VPPC Prize Paper Award (2008). Advising & Grants: Oversees research initiatives in energy and environment through the Center for Research in Energy and Environment (CREE). His grants include NSF-funded REU sites and DoE projects on electric drive vehicles. Labs & Teams: Active in the Missouri S&T Power Engineering Group and teaches advanced courses like Advanced Electric-Drive Vehicles and Power Electronics.

Silvia Öttlمشاهده پروفایل

مدرس ارشد

• Smart Building Technologies
• Energy Efficiency in Buildings
• Ventilation Systems Design
• +۳ مورد دیگر

Silvia Öttl is a Senior Lecturer at MCI Management Center Innsbruck in the Smart Building Technologies department. Previously, she held a PostDoc position at the University of Innsbruck’s Institute for Construction and Material Science and worked at Bartenbach GmbH in R&D, focusing on energy-efficient building technologies. Her academic career includes a PhD in Astrophysics (2014) and prior roles in astrophysical research at the University of Innsbruck’s Institute for Astro- and Particle Physics. Education: PhD in Astrophysics (University of Innsbruck, 2014), MSc/BSc in Physics (University of Innsbruck, 2011), and Matura from Naturwissenschaftliches Bundesrealgymnasium Wörgl (2001). Research interests span smart building systems, energy-efficient ventilation, fire safety in HVAC systems, and sustainable construction. Her astrophysical work focused on planetary nebulae ionization, gamma-ray sources via H.E.S.S. collaboration, and astrochemistry of interstellar molecules. Publications include peer-reviewed studies in astrophysics and building technology, including contributions to the H.E.S.S. collaboration’s gamma-ray observations and recent work on indoor air quality optimization in educational facilities. She has received the MCI Teaching Award (2022). Teaching roles include courses on energy-efficient lighting, building physics, and astrophysics at the University of Innsbruck. She advises Bachelor’s theses on energy communities, renewable energy integration, and indoor environment monitoring. Professional training includes project management for Horizon 2020, didactic qualifications, and mediation in academic environments.

Pol Van Aubelمشاهده پروفایل

مدرس

• Smart Grid Security
• Privacy in Smart Metering
• Industrial Control Systems Security
• +۳ مورد دیگر

Pol Van Aubel is a Lecturer in the Digital Security group at Radboud University's Institute for Computing and Information Sciences in Nijmegen, Netherlands. His research focuses on critical infrastructure security, particularly privacy implications in smart metering and industrial control systems. He has contributed to projects like the Charge & Go EV-charging infrastructure initiative and the Betuwe Energie Samenwerking energy sustainability project. Teaching roles include courses on网络安全, operating systems security, and network security within Computing Science programs. Notable publications address privacy risks in smart meter data compression and PUF-based hardware security. His work combines practical security solutions with theoretical advancements in privacy-preserving technologies.

• Electrical Engineering
• Power Systems
• Power Quality
• +۵ مورد دیگر

Pertti Pakonen is a University Lecturer at Tampere University's Faculty of Information Technology and Communication Sciences, Department of Electrical Engineering. His research focuses on power quality, partial discharge analysis, high voltage systems, and smart grid technologies. He has contributed extensively to understanding grid stability, electromagnetic compatibility, and renewable energy integration. Key research areas include partial discharge diagnostics in cables and transformers, power quality monitoring in distributed networks, and the impact of emerging technologies like electric vehicle charging stations and LED lighting on grid performance. His work emphasizes data-driven methods for fault detection, predictive maintenance, and grid optimization. Recent publications highlight advancements in HVDC/HVAC grid qualification, machine learning for load control detection, and synchronization challenges in power quality data. His research bridges theoretical analysis with practical applications in industrial and urban electrical systems. Mr. Pakonen's work has addressed challenges in rural grid management, including reserve power solutions and cabling practices. He collaborates on interdisciplinary projects involving energy economics, smart metering systems, and grid-industry interactions.

Ghanshyamsinh Gohilمشاهده پروفایل

استادیار

• Power Electronics
• Medium Voltage (MV) Power Conversion
• Renewable Energy Integration
• +۴ مورد دیگر

Ghanshyamsinh Gohil is an Assistant Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on advanced power electronics systems, including medium-voltage (MV) power conversion, smart grid technologies, and renewable energy integration. He leads the Power Electronics Lab, which develops innovative solutions for electric mobility, grid interface systems, and high-efficiency energy conversion. Research interests include the characterization of silicon carbide (SiC) devices for MV applications, medium-frequency isolated converters, and electromagnetic emission mitigation. His work addresses challenges in extreme fast charging for electric vehicles, microgrid management, and DC grid architectures. The lab also explores multi-objective optimization of power electronics systems and harmonic filter design for high dv/dt converters. Dr. Gohil’s publications span topics such as modular multilevel converters, dual active bridge (DAB) topologies, and distributed control algorithms for microgrids. His research emphasizes practical implementation, with a focus on real-time grid-edge systems and energy management solutions compliant with utility standards. Though no scientific awards are explicitly mentioned, his contributions to power electronics and renewable energy integration reflect a strong academic and applied research profile. Advising and grants details are not provided in the available text, but his lab’s active projects suggest ongoing collaborative efforts in industry and academia. The Power Electronics Lab at UT Dallas serves as a hub for interdisciplinary research, bridging electrical engineering with smart energy systems. Key projects include the design of grid-forming energy routers, MV DC grid interfaces, and intelligent fault current limiters to enhance grid reliability and resilience.

Marius Marcuمشاهده پروفایل

استاد

• Energy Security
• Power Systems Engineering
• Electrical Power Grids
• +۳ مورد دیگر

Prof. Marius Marcu is a full Professor and Department Manager at the Department of Automation, Computers, Electrical and Power Engineering within the Faculty of Mechanical and Electrical Engineering at the University of Petroșani. His work focuses on energy security, power systems resilience, and automation technologies. He leads the Electroenergetics Laboratory and has contributed extensively to modernizing electrical installations and energy efficiency practices. His research emphasizes critical infrastructure protection, grid stability, and the integration of renewable energy sources. Notable projects include risk assessments for high-voltage substations and the development of meditation-based brain-computer interface applications. He has also published extensively on energy policy and strategic management, advocating for institutional frameworks to enhance national energy security. Prof. Marcu’s technical contributions span power electronics, industrial automation, and safety standards compliance. His work bridges theoretical advancements with practical implementations in mining, agriculture, and smart grid technologies. He maintains active collaborations across Europe, addressing transnational energy challenges and cybersecurity for power infrastructure.

• Environmental Law
• Remote Sensing
• EU Policy
• +۴ مورد دیگر

Maria Efpraxia is an Associate Professor at the Technical University of Crete within the School of Chemical and Environmental Engineering . Her academic career focuses on the intersection of environmental law, remote sensing technologies, and sustainable energy policies across the European Union. Develops legal frameworks for emerging technologies Specializes in EU environmental compliance Conducts interdisciplinary research on energy-landscape interactions Her publications demonstrate a strong emphasis on balancing technological advancements with regulatory requirements: 2025: Drone use in disaster management and privacy implications 2021: Remote sensing data protection in Greece 2020: Natura 2000 forest conservation 2015: Urban gardens for energy poverty mitigation

• Cybersecurity
• Web Application Security
• Wireless Sensor Networks
• +۴ مورد دیگر

Dr. Katarzyna Mazur is a Senior Lecturer at the Chair of Cybersecurity and Computer Linguistics, Institute of Computer Science and Mathematics, within the Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University in Lublin, Poland. Her academic work focuses on practical cybersecurity education through hands-on CTF methodologies and security modeling for both networked systems and critical infrastructure. Current position since at least 2014 Active research in security metrics and energy-efficient data center security Developed innovative teaching approaches for web application security Contributed to IEEE/MDPI/Springer-indexed publications Research interests span cybersecurity , IoT security , and security modeling with specific focus on attack surface quantification , secure sensor networks , and energy-aware security solutions . Her publications from 2014-2022 reveal consistent work on security-performance tradeoffs in distributed systems. Recent publications show increasing emphasis on pedagogical innovation using capture-the-flag competitions alongside traditional research in critical infrastructure protection . Key technical areas include LoRa communication security , DDoS defense mechanisms , and access control modeling . Available contact: katarzyna.mazur@mail.umcs.pl . Office located at room 412, 4th floor, Institute of Computer Science, 9 Akademicka St, Lublin. Offers consultations by prior electronic arrangement.

• Cryptography
• Quantum Computing
• Cybersecurity
• +۷ مورد دیگر

Dr. Matthew McKague is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. His interdisciplinary research bridges computer science, cryptography, and quantum computing, with a strong focus on secure and privacy-preserving technologies for decentralized systems. Research Interests: Cryptography and Post-Quantum Cryptography Quantum Self-Testing and Quantum Computing Blockchain and Decentralized Ledgers Network and IoT Security Privacy-Preserving Protocols Secure Critical Infrastructure (e.g., Smart Grids) His recent publications highlight a shift toward practical applications of post-quantum cryptography in blockchain systems, emphasizing scalability, confidentiality, and security assurance. His work frequently appears in journals such as IEEE Access, Cryptography, and Sensors, covering both theoretical foundations and real-world implementations in energy markets, IoT, and forensic systems. Scientific Awards: No awards are listed in the provided text. Advising and Grants: Matthew has successfully supervised multiple PhD students to completion, with research topics including zero-knowledge contracts, blockchain security in electricity markets, anonymity in cryptocurrencies, and SDN security. While specific grants are not mentioned, his research themes—such as blockchain, post-quantum security, and smart grid cybersecurity—suggest involvement in funded projects related to national infrastructure and cybersecurity innovation. Labs and Teams: Though specific lab affiliations are not detailed, his work at QUT is likely connected to cybersecurity and quantum computing research groups within the School of Computer Science, potentially collaborating with interdisciplinary teams in engineering and information systems.

• Machine Learning
• IoT Security
• Deep Learning
• +۴ مورد دیگر

Ponnusamy Vijayakumar is a researcher affiliated with SRM University in Kanchipuram, India, within the College of Engineering and Department of Electrical & Computer Engineering . His work spans interdisciplinary domains including Machine Learning , IoT Security , and Deep Learning , with additional expertise in Blockchain , Augmented Reality , and Cyber-Physical Systems . Research Interests : Vijayakumar focuses on applying advanced machine learning techniques to real-world problems such as energy sector optimization , food safety , and medical diagnostics . His recent work explores federated learning for secure IoT environments, predictive analysis using stochastic methods, and computer vision for rehabilitation and security applications. Article Trends : Over the past five years, he has contributed to IoT security through anomaly detection frameworks, augmented reality for plant disease detection, and blockchain for credentialing systems. His publications also address deep learning applications in agricultural quality analysis and medical imaging for musculoskeletal disorders. Collaborations : Vijayakumar has collaborated extensively with experts in Serbia, India, and Germany, particularly with researchers like Nemanja Zdravkovic , Aman Kumar Mishra , and Sowmya Natarajan , across conferences such as BISEC and journals like IEEE Access .

• Public Law
• Environmental Law
• Climate Law
• +۶ مورد دیگر

Johannes Saurer is a Professor at the Faculty of Law , University of Tübingen, specializing in Public Law, Environmental Law, and Comparative Federalism. His work focuses on the legal frameworks governing energy transitions, climate policy, and European Union regulatory mechanisms. Born in 1975, he holds a Dr. iur. from the University of Bayreuth (2004) and an LL.M. from Yale University (2007). Appointed as a full Professor in 2013, initially at Bielefeld (2013-2014) and currently at Tübingen since 2014. Research interests include energy transition law , EU environmental governance , climate litigation , and federal legal systems . Recent research emphasizes the transformation of EU legal instruments (2023-2026 DFG project), analyzing shifts from directives to regulations and delegated acts. His publications span comparative studies of German, US, and European climate laws , with notable work on cooperative federalism and renewable energy governance . Articles frequently appear in journals like Transnational Environmental Law , Die Verwaltung , and Natur und Recht , highlighting trends in environmental planning , judicial review , and administrative accountability .

• Remote Sensing
• Computer Vision
• Machine Learning
• +۶ مورد دیگر

Qian Cheng is a Professor at the National University of Defense Technology, specifically affiliated with the College of Electronic Science in Changsha, China. With an extensive publication record spanning from 2013 to 2025, Dr. Cheng has established a significant research presence across multiple interdisciplinary domains. Their work bridges theoretical computer science with practical applications in agriculture, medical imaging, and remote sensing technologies. Dr. Cheng's research primarily focuses on the intersection of machine learning, computer vision, and domain-specific applications. Their work demonstrates particular expertise in applying advanced computational techniques to solve real-world problems in precision agriculture, where they've developed innovative approaches for crop monitoring using UAV technology and spectral analysis. In medical imaging, Dr. Cheng has contributed to photoacoustic imaging techniques for bone characterization and ophthalmic disease diagnosis. The research portfolio also includes significant contributions to autonomous systems, including UAV path planning and autonomous driving technologies. Analysis of Dr. Cheng's recent publications (2023-2025) reveals a strong trend toward interdisciplinary applications of artificial intelligence, with particular emphasis on transfer learning approaches that can adapt models across different domains and conditions. The research consistently demonstrates practical implementation value, with numerous applications in agricultural monitoring, medical diagnostics, and autonomous vehicle technologies. This work often involves collaboration with large research teams across multiple institutions, reflecting the complex, multidisciplinary nature of the problems being addressed. Dr. Cheng actively mentors numerous researchers, with several students appearing as co-authors on publications. Their research group appears to focus on developing practical AI solutions that can be deployed in real-world settings, particularly in agricultural and medical contexts where precise monitoring and analysis are critical.