AC-DC System Interaction Professors and Supervisors

Stefanie Kuenzelمشاهده پروفایل

مدرس ارشد

Royal Holloway, University of LondonUnited Kingdom

Dr. Stefanie Kuenzel is a Senior Lecturer in the Department of Electronic Engineering at Royal Holloway University of London, serving as Head of the Power Systems group. She holds an editorial role at the Journal of Modern Power Systems and Clean Energy . Her research focuses on HVDC transmission systems, wind energy integration into AC grids, smart meter technology, and subsurface flow batteries. Her work aligns with UN Sustainable Development Goals related to affordable and clean energy. Dr. Kuenzel has led multiple projects funded by the Engineering and Physical Sciences Research Council (EPSRC), including PrivIoT (privacy risks in IoT homes) and Impact of Smart Meters on Privacy . She collaborates internationally on energy ethics, digital harm mitigation, and geoscientific energy storage solutions. Notable research outputs include studies on elderly technology adoption, smart grid ethics, and innovative energy infrastructure in China. Her projects bridge engineering with humanities, such as Developing Creative Methods of Sensing Air , integrating geo-humanities and earth sciences perspectives. She emphasizes interdisciplinary approaches to address modern energy challenges while prioritizing ethical considerations and societal impacts.

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Marko Rosićمشاهده پروفایل

دانشیار

University of KragujevacSerbia

Dr. Marko Rosić is an Associate Professor at the Department of Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Born on July 31, 1984, in Priboj, he completed his education in electrical engineering, graduating with top honors in 2008. He joined the faculty in 2008 as a Teaching Associate and progressed to Assistant Professor (2016) and Associate Professor (2021). He teaches courses including Electrical Drives, Control of Electrical Drives, and Computer-Aided Design in Power Engineering. His research focuses on: Torque ripple reduction in induction motor drives Energy efficiency in electric drives Magnetic field modeling and hysteresis analysis Educational technology for engineering instruction Control algorithms for electrical machines His recent publications (2021-2025) demonstrate a consistent focus on improving control algorithms for induction motors, advancing magnetic material modeling, developing fault detection systems for DC motors, and creating innovative educational tools like GeoGebra applications for engineering education. This work bridges theoretical research and practical implementations in industrial power systems. Scientific Awards: Most Successful Student Award (during studies) Most Successful Graduate Student in Electrical Engineering Young Researcher Best Paper Award (ETRAN 2013) He has led or contributed to multiple national and international projects including: TR 33016: 'Research and implementation of energy efficiency programs for electric drives' (national) 543667-TEMPUS: 'Building Network of Remote Labs' (international) 'Development of Computer-aided Design curriculum for digital competencies' (project coordinator) He develops laboratory setups including electromagnetic load emulators, DC motor test benches, and remote experimentation platforms. As a steering committee member of the ETRAN society and editor assistant for the Serbian Journal of Electrical Engineering, he actively contributes to the academic community.

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Mesud KAHRİMANمشاهده پروفایل

استاد

Süleyman Demirel UniversityTurkey

Mesud KAHRİMAN is a Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering and Natural Sciences. His research focuses on microprocessors, numerical methods in electromagnetics, image processing, and industrial control systems. He holds a PhD from Sakarya University in Electrical and Electronics Engineering (2004), following a master’s (2001) and bachelor’s (1997) from the same institution. His recent publications (2017-2024) emphasize RF energy harvesting, antenna design, electromagnetic materials, and biomedical applications. He has contributed to advancements in sensors for bacteria detection, composite absorbers from recycled materials, and prosthetic control systems. His work frequently appears in SCI-Expanded journals like Sensors and Actuators A and the Turkish Journal of Electrical Engineering. KAHRİMAN has collaborated with researchers on topics ranging from microwave coupler design to electromagnetic radiation’s effects on pathogens. His research integrates practical engineering solutions with interdisciplinary applications in healthcare, environmental science, and wireless communication.

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Gerd Balzerمشاهده پروفایل

استاد

Technical University of DarmstadtGermany

Prof. Gerd Balzer is a Professor in the Department of Electrical Power Systems at Technische Universität Darmstadt. His research focuses on power system reliability, HVDC technology, short-circuit current calculations, and asset management. He has extensively contributed to the analysis of electrical networks, including transformer behavior, capacitor impact on short circuits, and grid integration challenges. His work addresses critical issues such as fault current mitigation, network stability under renewable integration, and optimal maintenance strategies. Key research areas include: High-Voltage Direct Current (HVDC) systems and their interaction with AC networks Transient and steady-state analysis of electrical networks Asset management for infrastructure systems Risk-based optimization of maintenance and replacement strategies His recent publications emphasize advancements in short-circuit current calculation methods for complex systems, including those involving HVDC converters and meshed networks. He has also explored the impact of modern grid components like capacitors and renewable energy systems on network stability. Prof. Balzer's collaborative projects address real-world challenges such as offshore wind park integration, voltage regulation in distribution grids, and congestion management using advanced controllers. His work aligns with global efforts to enhance grid resilience and reliability amid evolving energy landscapes.

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Jennifer F Marleyمشاهده پروفایل

دانشیار

University of VirginiaUnited States

Jennifer F Marley is an Associate Professor in the Department of Applied Mathematics at the University of Virginia's School of Engineering and Applied Science. Her work bridges applied mathematics, power systems engineering, and education innovation. She holds a Ph.D. and M.S. in Applied Mathematics from the University of Michigan, and a B.S. in Mathematics from North Carolina State University. Her research focuses on optimizing power systems through advanced algorithms, particularly in renewable energy integration, energy storage optimization, and stochastic optimal power flow (OPF) methodologies. She also actively develops innovative teaching strategies for engineering education, including curriculum design for precalculus-calculus integration and laboratory pedagogy enhancement. Marley has published extensively on topics ranging from power grid optimization under uncertainty to improving student confidence in engineering courses. Her work often emphasizes interdisciplinary approaches, combining mathematical modeling with practical engineering challenges. Notable contributions include developing AC-QP algorithms for multi-period OPF problems and exploring the use of educational kits to engage students in electrical engineering fundamentals. Her research has implications for both energy infrastructure modernization and STEM education reform.

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Alessandro Narduzzoمشاهده پروفایل

مدرس

University of BathUnited Kingdom

Alessandro Narduzzo is a Lecturer in the Department of Physics at the University of Bath, Faculty of Science. He is a Teaching Fellow with a dual focus on experimental condensed matter physics and innovative pedagogy in the physical sciences and mathematics. His research interests span two major domains: Experimental Condensed Matter Physics : Focused on strongly correlated low-dimensional electronic systems, including unconventional metals and superconductors, with expertise in low-temperature and high-magnetic-field DC/AC conductivity measurements. Physics and Mathematics Education : Investigating effective teaching strategies such as Writing in the Disciplines (WiD), digital pens, audience response systems, and structured problem-solving sequences to enhance conceptual learning. The recent publications reflect a strong trend toward interdisciplinary work combining fundamental physics with educational innovation. His research in superconductivity and thermoelectric effects in cuprates complements his pedagogical work aimed at improving student engagement and understanding in undergraduate physics and maths courses. He has contributed to outreach and teaching excellence, as seen in works like The Leidenfrost maze , which combines demonstration physics with educational outreach. No scientific awards are listed in the provided text. Narduzzo is actively involved in teaching and student supervision, with at least one supervised research project recorded. His collaborative network includes researchers in Japan and the UK, particularly in the field of correlated electron systems. He is associated with no named research labs or centers in the text, but his work suggests active participation in both experimental physics and educational development teams within the Department of Physics at Bath.

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Christian Andreasenمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Christian Andreasen is an Associate Professor at the University of Copenhagen's Department of Plant and Environmental Sciences, where he leads the Plant Protection research group in the Section for Crop Sciences. He earned his MSc in Agronomy (1986) and PhD in Weed Science (1990) from the Royal Veterinary and Agricultural University (now University of Copenhagen). His academic career includes roles as Assistant Professor (1991-1995), Associate Professor (1995-present), and Head of Crop Sciences (2004-2015). His research spans weed biology, sustainable crop protection, and seed technology, with emphasis on: Non-chemical weed control (laser weeding, thermal methods) Crop-weed interactions in changing climates Seed science and quinoa cultivation in tropical zones Biodiversity conservation in agricultural systems Publications (2019-2025) demonstrate strong focus on sustainable agriculture technologies, particularly laser-based weed control, climate adaptation of crops, and biochar soil applications. Research consistently addresses herbicide alternatives, precision agriculture, and resilience of crops like quinoa under abiotic stresses. He actively advises PhD candidates and has supervised 10+ doctoral projects. Major grants include Horizon 2020's WeLASER project (2021-2024) on autonomous laser weeding, AC/DC Weeds (2021-2022) for perennial weed management, and Sweedhart (2016-2019) on harvest weed seed control. Leads field and laboratory facilities at Taastrup Campus, collaborating internationally through NIBIO (Norway) and DanSeed consortium.

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Victor Kuncserمشاهده پروفایل

استاد پژوهشی

National Institute of Materials PhysicsRomania

Dr. Victor Kuncser is a Research Professor at the National Institute of Materials Physics in Bucharest-Magurele and serves as Head of the Magnetism and Superconductivity Department. He is also a PhD promoter as Professor associated with the Doctoral School at University of Bucharest, Faculty of Physics. His academic journey includes research appointments at prestigious institutions including Ruhr, Rostock and Duisburg Universities in Germany, University of Rouen in France, Padova University in Italy, and Zaragoza University in Spain, as well as Deutsche Synchrotron and Berlin Neutron Scattering Center. Dr. Kuncser earned his PhD in Physics (Condensed Matter) in 1995 from the Institute of Atomic Physics, Bucharest-Magurele. His research spans multiple cutting-edge areas of magnetism, including nanomagnetism, spintronics, magnetic nanoparticles, and magnetofunctional materials. His work heavily focuses on experimental and theoretical investigations of magnetic phenomena at the nanoscale, with particular emphasis on spin structure at interfaces, exchange bias systems, and magnetic nanocomposites. Analysis of his recent publications reveals a strong trend toward biomedical applications of magnetic materials, particularly in drug delivery systems for cancer treatment. His work also demonstrates continued exploration of fundamental magnetic properties in novel materials systems, including skyrmions, magnetocaloric materials, and diluted magnetic semiconductors. The interdisciplinary nature of his research bridges physics, materials science, and biomedical engineering. Alexander von Humboldt fellowship (2001, Duisburg-Essen University) Prize of the Romanian Academy (2002) Dr. Kuncser has promoted 5 international and 9 national projects in the last decade, including Large Scale PCCDI and top-down Solutii initiatives. His project portfolio spans defense applications, advanced nanocomposites, CBRNE incident response systems, and specialized magnetic characterization techniques. He has established significant research infrastructure and collaborations across European institutions. Dr. Kuncser leads the Laboratory of Magnetism and Superconductivity at NIMP, which maintains strong connections with international synchrotron and neutron scattering facilities. His team employs comprehensive characterization techniques including magnetometry, Mössbauer spectroscopy, and advanced microscopy to investigate magnetic phenomena across multiple length scales.

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Sarah Immanuelمشاهده پروفایل

مدرس ارشد

Torrens University AustraliaAustralia

Sarah Immanuel is a Senior Lecturer in the Business and Hospitality vertical at Torrens University, specializing in Data Management and Data Analytics. She directs teaching, research, and subject coordination within the Centre for Artificial Intelligence Research and Optimisation (AIRO), leveraging her 23+ years of academic experience across Australian and international institutions. Her educational background includes: Bachelor of Electrical and Electronics Engineering from Bharathiar University Master of Applied Electronics Engineering from Bharathiar University PhD in Biomedical Engineering from The University of Adelaide (dissertation: Polysomnographic signal processing for advanced diagnostics of paediatric sleep disordered breathing) Immanuel's research focuses on biomedical signal processing applications for sleep disorders and clinical diagnostics. She develops machine learning models for disease prediction in sleep disorders, mental health, and cardiovascular conditions, while creating data analytics platforms for healthcare decision-making. Her work integrates Signal and Image Processing with AI to address Digitally Enhanced Living challenges, particularly for elderly populations through ARC Industry Transformation Research Hub projects at Flinders University. Analysis of her 27 research outputs reveals consistent focus on cardiorespiratory dynamics, with recent publications (2023-2024) emphasizing transvenous phrenic nerve stimulation for central sleep apnea, heart rate variability biomarkers for stress/cognitive decline, and machine learning applications for surgical candidate prediction. Her fingerprint shows dominant themes in Central Sleep Apnea (100%), Transvenous Phrenic Nerve Stimulation (100%), and Polysomnography (60%). As an active PhD supervisor, she mentors students in cardiorespiratory signal processing and machine learning for clinical applications. Her research has generated significant community impact through the ARC Hub project on elderly care technologies. Immanuel maintains active research collaborations through Flinders University's Academic status position and contributes to healthcare innovation via the AIRO center's data-driven platforms.

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