Find Academic Supervisors

• Power Electronics
• Electric Vehicle Power Systems
• AC Motor Drives
• +6 more

Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.

Hilary Bart-SmithView profile

Professor

• Biotechnology and Biomolecular Engineering
• Biomolecular Design
• Cellular and Molecular Bioengineering
• +6 more

Hilary Bart-Smith is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. She founded the Multifunctional Materials and Structures Laboratory and the Bio-inspired Engineering Research Laboratory, emphasizing biomimetic designs and advanced mechanical systems. B.S., Mechanical Engineering, University of Glasgow Ph.D., Engineering Sciences, Harvard University Research Interests: Bio-inspired systems, Biotechnology and Biomolecular Engineering, Biomolecular Design, and Cellular and Molecular Bioengineering. Her work spans underwater robotics, deployable aerospace structures, and electro-active polymers with applications in artificial muscles and sensing technology. Publications (2025–2021): Focus on bio-inspired underwater propulsion, tuna and manta ray robotics, flexible foils, hydrodynamic efficiency, and deployable aerospace structures. Keywords include Bio-inspired Robotics, Computational Fluid Dynamics, and Electro-active Polymers. Labs: Multifunctional Materials and Structures Laboratory and Bio-inspired Engineering Research Laboratory at UVA.

• Micro-electronics
• Transport phenomena in semiconductors
• Halide perovskite materials
• +4 more

Dr. Cristina BESLEAGA STAN is a Scientific Researcher II at the National Institute of Materials Physics (NIMP) since 2019, where she has been working since 2012. She leads research at the Laboratory of Complex Heterostructures and Multifunctional Materials, focusing on micro-electronics, opto-electronics, and solar cells development with significant contributions to semiconductor physics and device fabrication. Dr. Besleaga Stan earned her PhD in Solid-State Physics from the University of Bucharest in 2013, following a Master's degree in Solid-State Physics (2010) and undergraduate studies in Physics with specialization in Medical Physics (2007), all from the University of Bucharest. Her educational background established the foundation for her expertise in materials science and semiconductor physics. Her research spans micro-electronics, transport phenomena in semiconductors, and halide perovskite materials. She possesses extensive expertise in physical vapor deposition processes, particularly magnetron sputtering for thin film synthesis, and comprehensive characterization techniques including structural (XRD, XRR), morphological (AFM), optical (UV-Vis-IR), and electrical (resistivity, Hall effect) analysis. Her work bridges fundamental materials science with practical applications in energy harvesting and electronic devices. Dr. Besleaga Stan's publication record demonstrates consistent high-impact research across multiple domains including perovskite solar cells, thin film transistors, and self-cleaning surfaces. Her work shows a clear progression from fundamental semiconductor physics to applied device development, with recent publications emphasizing sustainable materials processing and advanced characterization techniques. Her scientific achievements have been recognized with numerous prestigious awards: "Ștefan Procopiu" prize from Romanian Academy (2018) Gold medal from EUROINVENT, Iași (2018) "Excellence" prize and gold medal from "Ștefan cel Mare" University (2018) Multiple "Excellence" prizes from ProInvent Exhibition Third prize "Young Researchers in Science and Engineering" (2019) Best poster presentation award at the "10th International Conference on Physics of Advanced Materials" (2014) Dr. Besleaga Stan has demonstrated exceptional leadership as principal investigator of multiple national research projects including PN-II-RU-TE-2014-4-1122, PN-III-P1-1.1-PD-2016-1546, PN-III-P1-1.1-TE-2019-0688, and PN-III-P2-2.1-PTE-2021-0150. She has secured substantial research funding and contributed to more than 16 national and international scientific projects, demonstrating strong grant-writing and project management capabilities. She leads a dynamic research team within the Laboratory of Complex Heterostructures and Multifunctional Materials at NIMP, collaborating extensively with international partners including University Nova de Lisboa (Portugal), University of Oslo (Norway), ARPES facility (Switzerland), and CVD/ALD AnnealSys company (France). Her laboratory specializes in clean room fabrication of electronic and optoelectronic devices and advanced materials characterization.

Dusan MedvedView profile

Associate Professor

• Electrical Power Engineering
• Electrothermal Technology
• Power System Modeling
• +6 more

Associate Professor Dušan Medved serves at the Department of Electrical Power Engineering within the Faculty of Electrical Engineering and Informatics at the Technical University of Košice. As Head of the Electricity Generation and Distribution Department, he plays a key leadership role in shaping electrical engineering education and research at the institution. His extensive teaching portfolio spans fundamental electrical engineering concepts through to specialized topics in power systems and renewable energy technologies. Medved's research interests primarily focus on power system modeling, renewable energy integration, and smart grid technologies . His work demonstrates particular expertise in photovoltaic systems, electric vehicle integration, electromagnetic field analysis, and power quality assessment. He has developed significant expertise in using EMTP-ATP software for power system transient analysis and has published extensively on modeling techniques for electrical power engineering applications. An analysis of his recent publications (2023-2024) reveals a strong emphasis on the integration of renewable energy sources into power grids, with particular attention to photovoltaic systems, electric vehicle charging infrastructure, and energy storage solutions. His work bridges theoretical modeling with practical implementation challenges, addressing critical issues such as grid stability during high renewable penetration, optimal sizing of energy storage systems, and maximizing self-consumption of locally generated renewable energy. The interdisciplinary nature of his research connects electrical engineering with energy economics and environmental considerations. Medved has been actively involved in teaching a wide range of courses including Fundamentals of Electrical Engineering, Electrothermal Technology, Electrical Energy Transformations, and Modeling in Electrical Power Engineering. His teaching materials demonstrate a hands-on approach with practical assignments covering resistance furnace design, arc steelmaking furnace analysis, and power system modeling using EMTP-ATP software. His commitment to education is evident in his development of numerous teaching resources and student projects spanning from 2012 to the present.

Cătălin Petrea IONView profile

Associate Professor

• Rotating Electrical Machines
• Renewable Energy Sources
• Micro Hydro Power Plants
• +3 more

Cătălin Petrea ION is an Associate Professor at the Department of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov, Romania. His research focuses on rotating electrical machines, renewable energy systems, and micro-hydro power plant technologies. Key Research Areas: Rotating electrical machines, renewable energy sources, micro-hydro power plants Publications: 6 notable works (2011–2023) on induction generators, PMSM design, and microgrid integration His recent publications emphasize energy efficiency in electric machines, sustainable power generation from hydro sources, and integration of autonomous systems into modern grids. Despite no explicit awards or student mentoring details in the text, his work highlights technical contributions to renewable energy infrastructure and applied physics in electrical engineering contexts.

Milan MarjanovićView profile

Assistant Professor

• Thermal Engineering
• Thermoenergetics
• Renewable Energy
• +7 more

Milan Marjanović is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. Holding an M.Sc. in Mechanical Engineering, he teaches Thermodynamics, Applied Thermodynamics, Renewable Energy Sources, and Machine Elements. His research focuses on Thermal Engineering, Thermoenergetics, and Renewable Energy systems. Born 1990 in Užice Completed primary/secondary education in Požega Faculty of Mechanical Engineering and Civil Engineering, Kraljevo (2012) Master's in Energy Engineering (2014) Research spans biomass combustion optimization, solar energy systems, and hydraulic simulation tools. Active in academic projects like the national PRIZMA 2023 initiative for Active Condensation Hybrid Systems. Key publications include work on: Biomass-fired district heating efficiency AI-driven solar energy prediction models Hybrid photovoltaic-thermal collector testing Industry 4.0 curriculum development for Mechatronics Scientific contributions appear in journals like Case Studies in Thermal Engineering and conferences including COAST 2024. Awards include Ministry scholarships and 'Mašinijada' competition victories. Collaborates with industry partners on mechanical testing equipment development.

• Renewable Energy
• Hydropower
• Electrical Engineering
• +2 more

Blas Ogayar Fernández is a University Professor in the Department of Electrical Engineering at the University of Jaén, affiliated with the Center for Advanced Studies in Earth Sciences, Energy and the research group "R&D in engineering, energy and sustainability". His work bridges historical analysis of electrical infrastructure with modern renewable energy systems, focusing on regional energy solutions in southern Spain. He earned his PhD from the University of Jaén in 2008 with a thesis on mini-hydraulic resources supervised by Dr. Pedro Gómez Vidal. His educational background demonstrates deep regional expertise in energy systems development. Prof. Ogayar's research centers on renewable energy with particular emphasis on small-scale hydropower applications and historical electrification patterns in the Sierra Mágina region. His work extends to smart city lighting control systems and electrical engineering education, creating connections between historical infrastructure development and contemporary sustainable energy challenges. The interdisciplinary nature of his research combines technical engineering analysis with socio-historical perspectives on energy adoption. His publication record reveals a distinct chronological evolution: early career focus (1992-2001) on circuit theory education, mid-career period (2006-2014) documenting regional hydropower resources and historical infrastructure, and recent work (2019-2022) addressing smart city applications and comprehensive historical electrification studies. The consistent regional focus on Sierra Mágina demonstrates sustained commitment to place-based energy research. He actively contributes to the "R&D in engineering, energy and sustainability" research group within the Center for Advanced Studies in Earth Sciences, Energy, where his expertise in both historical energy systems and modern renewable technologies supports integrated approaches to sustainable energy development in agricultural regions.

• Soft Robotics
• Artificial Muscles
• Pneumatic Actuators
• +3 more

Tatsuhiro Hiramitsu is a robotics researcher affiliated with Tokyo Institute of Technology, specializing in soft robotics and artificial muscle systems. His work focuses on developing innovative pneumatic actuation mechanisms for wearable and biomedical applications. His research interests span Soft Robotics , Artificial Muscles , and Pneumatic Actuation Systems , with particular emphasis on textile-based mechanisms and wearable rehabilitation devices. Key contributions include the development of cloth-like mechanisms using McKibben artificial muscles, low-pressure inflatable actuators, and biomimetic systems mimicking human anatomy. Analysis of his publication trends reveals a consistent focus on flexible actuation systems (2013-2019), with increasing specialization in wearable medical devices and biomimetic structures toward the latter part of his active research period. His work bridges mechanical engineering with clinical applications, particularly in deep vein thrombosis prevention and rehabilitation robotics. Dr. Hiramitsu completed his Doctor of Engineering degree at Tokyo Institute of Technology in March 2019 with a dissertation titled Research on Active Cloth Using Pneumatic Artificial Muscles . His research methodology combines theoretical modeling with practical prototyping of soft robotic systems.

• Thermal Engineering
• Fluid Dynamics
• Heat Transfer
• +5 more

Mohsen Sharifpur is a Professor at the University of Pretoria, South Africa, within the Faculty of Engineering, Built Environment and Information Technology, Department of Mechanical and Aeronautical Engineering. He additionally holds appointments at China Medical University (Taiwan), Duy Tan University (Vietnam), and the University of Science and Culture in Tehran, reflecting a truly global academic footprint. His educational background is not explicitly detailed in the provided text, but his extensive publication record and affiliations suggest advanced degrees in mechanical or thermal engineering. Research Focus Thermal Engineering & Heat Transfer: Investigating fundamental and applied aspects of heat transfer enhancement, phase change phenomena, and energy conversion systems. Nanofluids & Advanced Materials: Exploring the synthesis, characterization, and application of nanoparticle-enhanced fluids for improved thermal performance in diverse engineering systems. Computational & Experimental Fluid Dynamics: Employing CFD, molecular dynamics, and experimental techniques to model complex multiphase flows and optimize energy systems. Sustainable Energy Technologies: Addressing contemporary challenges in energy efficiency, renewable energy forecasting, and environmentally friendly fuels such as biodiesel. Across more than 300 peer-reviewed publications, Prof. Sharifpur’s work demonstrates a consistent trajectory toward enhancing energy efficiency through nanotechnology, advanced computational methods, and sustainable engineering practices. His recent studies integrate machine-learning techniques (e.g., LSTM networks) for solar power forecasting, highlighting an interdisciplinary approach that bridges mechanical engineering and data science. Scientific Awards & Funding Sponsored research supported by the National Research Foundation (South Africa) National Institutes of Health (USA) National Natural Science Foundation of China King Saud University, Taif University, King Faisal University, and numerous other international agencies Collaborations & Teams Prof. Sharifpur leads or participates in multiple international research collaborations, evidenced by a co-authorship network spanning 272 institutions and 99.6 % of his papers being co-authored. These collaborations integrate expertise from mechanical engineering, materials science, energy policy, and computational sciences to deliver impactful technological solutions.

• Microwave Engineering
• Terahertz Technology
• Superconducting Materials
• +2 more

Vincent Desmaris is a Researcher at Chalmers University of Technology, where he is part of the Advanced Receiver Development (GARD) unit. He specializes in developing and manufacturing microwave and terahertz components for cryogenic receiver systems. Desmaris also serves as the primary supervisor for doctoral students focusing on superconducting materials and components. His academic background includes an MSc in Materials Science from INSA-Lyon (1999) and a PhD in Microwave Electronics from Chalmers University of Technology (2006). He joined GARD immediately after completing his doctorate. Desmaris's research centers on advanced technologies for submillimeter-wave applications. Key areas include superconducting devices, terahertz component design, nanostructured energy storage systems, and cryogenic instrumentation. His work directly supports astronomical projects like ALMA and APEX telescopes through innovations in receiver technology. Recent publications (2022-2025) demonstrate strong focus on: Wideband terahertz waveguide components (OMTs, hybrids, transitions) GaN HEMTs and superconducting Nb devices for low-noise cryogenic systems Ultra-high-density capacitors using carbon nanostructures Novel fabrication methods for metallic micromachined substrates He has contributed to instrumentation projects including SEPIA heterodyne receivers and the Heterodyne Receiver for Origins (HERO) space telescope concept. As main doctoral supervisor in GARD, he mentors students in superconducting materials research but specific student names are not disclosed.

• Wireless Power Transfer
• Capacitive Power Transfer
• Maritime Electrification
• +3 more

Hussein Mahdi Yaseen Al-Sallami is an Associate Professor in the Department of Electrical Technology at UiT The Arctic University of Norway, based in Narvik. His academic position and research activities indicate active engagement in the university's electrical engineering community. His primary research interests include: Wireless Power Transfer Capacitive Power Transfer Maritime Electrification Power Electronics Electromechanical Systems Marine Power Systems Dr. Al-Sallami's research focuses on developing capacitive power transfer systems specifically for challenging environments like underwater and maritime applications. His work bridges theoretical electromagnetic analysis with practical engineering solutions for wireless charging in marine contexts. The research demonstrates strong technical depth in power converter design, efficiency optimization, and system implementation for specialized applications where traditional conductive charging faces limitations. He is actively involved in multiple significant research initiatives: Support on power system design with marine fuel cell systems Wireless AutoCharge FME MarTrans DeHigh Campus Narvik C4260 Dr. Al-Sallami contributes to the Electromechanical systems research group and participates in Mathematics and Science Education (Matematikk- og realfagsdidaktikk) activities, indicating his involvement in both technical research and educational aspects of engineering disciplines. His collaborations with researchers like Bjarte Hoff, Trond Østrem, and Reiji Hattori demonstrate strong interdisciplinary connections within the power electronics field.

Idriss DagalView profile

Assistant Professor

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +6 more

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

Anna LindströmView profile

Professor

• Conversation Analysis
• Language and Social Interaction
• Medical Communication
• +3 more

Anna Lindström serves as Professor of Language and Social Interaction at Uppsala University's Department of Nordic Languages, where she conducts groundbreaking research at the intersection of linguistics and social dynamics. Her work examines how language structures human interaction across diverse institutional settings including healthcare, public services, and everyday encounters, with particular focus on medical communication and Swedish conversation practices. Her academic credentials include a PhD (Filosofie Doktor) in Nordic Languages, following which she advanced from Associate Professor to her current professorship. Educational background details indicate specialized training in conversation analysis methodology and Nordic linguistic frameworks. Lindström's research interests center on conversation analysis as a tool for decoding social interaction. She investigates how people coordinate actions through talk in medical consultations, public service encounters, and market transactions. Key areas include antimicrobial stewardship communication, epistemic stance marking in Swedish, and the organization of sensitive topics like sex assignment after childbirth. Her work reveals how micro-level linguistic choices construct social order, with significant implications for healthcare communication training and institutional practice improvement. Methodologically, she pioneers naturalistic observation techniques in clinical and care settings. Analysis of her publication trajectory shows consistent focus on medical communication (60% of recent work), particularly doctor-patient interactions regarding antibiotic use, diagnostic testing, and risk management. Secondary themes include Swedish conversational particles (25%) and institutional interaction in public services (15%). Her 2025-2022 publications demonstrate increasing cross-cultural collaboration with English healthcare systems, while maintaining strong Swedish empirical grounding. No scientific awards were documented in the source materials. No details regarding student supervision or research grants were provided in the available documentation, though her extensive publication record suggests significant research activity. Her collaborative patterns indicate frequent interdisciplinary partnerships with medical researchers and social scientists. Lindström operates within Uppsala University's Department of Nordic Languages, contributing to Sweden's leading conversation analysis research community. Her work connects with broader networks through collaborations with institutions like the Swedish Board for Study Support and primary care clinics, forming a research ecosystem focused on real-world interactional challenges.

• Smart Energy Systems
• Renewable Energy Integration
• Thermal Energy Storage
• +3 more

Amirmohammad Behzadi is a doctoral researcher at KTH Royal Institute of Technology, specializing in smart energy systems within the Fluid and Climate Technology group. His work focuses on designing, controlling, and optimizing sustainable heating, cooling, and electricity systems for buildings. His research spans Hydrogen-integrated microgrids Machine learning for energy management Thermal storage solutions Decarbonization of commercial/residential buildings Renewable energy hybridization and has been recognized in the World's Top 2% Scientists (2022-2024) by Stanford/Elsevier. Behzadi's peer-reviewed publications (15 most recent) demonstrate expertise in AI-driven optimization Fuel cell applications Hybrid ventilation systems Grid-connected renewable solutions Borehole thermal energy storage with a focus on cold climate adaptations. His scientific contributions include being selected as a top project by the Royal Swedish Academy of Engineering Sciences (IVA, 2024) and receiving the Best Researcher Award at the University of Tehran's 28th Research Festival (2021). His educational background includes an M.Sc. in Energy Conversion from the University of Tehran and a B.Sc. in Mechanical Engineering with top honors.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +3 more

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.