Find Academic Supervisors

Agusti Egea AlvarezView profile

Professor

• Power Electronics
• Renewable Energy Systems
• Electrical Grid Control
• +3 more

Dr. Agustí Egea-Àlvarez is a Professor at the University of Strathclyde's Department of Electronic and Electrical Engineering and a member of the PEDEC (Power Electronics, Drives and Energy Conversion) group. He also serves as Network Operational Performance Manager at ScottishPower Energy Networks. Education: BSc in Electrical Engineering, Technical University of Catalonia (2008) MSc in Electrical Engineering, Technical University of Catalonia (2010) PhD in Electrical Engineering, Technical University of Catalonia (2014) Research Interests: Grid forming and Virtual Synchronous Machine converter control algorithms Control of Voltage Source Converters in weak grids and low inertia systems Alternative HVDC connection schemes for offshore wind farms DC-DC converter control for HVDC systems His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Scientific Awards: Best Paper Prize at Wind Integration Workshop 2019 (2020) Strathclyde Medal as member of 'Sustainable Impact by Design' team (2023) Projects: He participates in 38 projects including SETTLE-INSIGHT (NIA) with Scottish and Southern Energy Plc and EPSRC-funded DTP 2224 project. His work focuses on grid stability, HVDC systems, and renewable integration.

Halima HadžiahmetovićView profile

Associate Professor

• Wind Energy
• Renewable Energy Systems
• Fluid Mechanics
• +5 more

Halima Hadžiahmetović is an Associate Professor at the Faculty of Mechanical Engineering, University of Sarajevo, where she has served since 2020. Her academic career progressed from Senior Assistant (2010-2016) to Assistant Professor (2016-2020) and then to Associate Professor (2020-present). She simultaneously holds an Associate Professor position at the Faculty of Mechanical Engineering in Zenica since 2020. Her primary academic affiliation is with the Department of Process Engineering and Environmental Engineering at the University of Sarajevo. Her educational background includes: 2015: Doctor of Technical Sciences, Faculty of Mechanical Engineering, University of Sarajevo (Dissertation: "Numerical modeling of erosion in elbows during pneumatic transport") 2008: Master of Technical Sciences, Faculty of Mechanical Engineering, University of Sarajevo (Thesis: "Optimization of hydraulic transport of ash and slag in dense hydro-mixture form") 2004: Graduate Engineer of Metallic Materials, Faculty of Metallurgy and Materials, University of Zenica (Diploma: "Assessment of exhaustion of materials of highly loaded components of boiler equipment") Dr. Hadžiahmetović's research spans renewable energy systems, fluid mechanics, and environmental engineering. She has conducted extensive research on wind resource assessment across Bosnia and Herzegovina, including Sarajevo, Bjelašnica, and Ivan Sedlo. Her work in computational fluid dynamics (CFD) applies to pneumatic and hydraulic transport systems, erosion modeling, and valve design. She has made significant contributions to indoor air quality research and environmental monitoring, with publications in Sustainability, Tehnički vjesnik, and TEM Journal. Her recent publications (2021-2025) demonstrate a clear progression toward integrated renewable energy solutions and environmental sustainability. She has expanded from foundational work on wind energy assessment to comprehensive studies of hybrid energy systems, photovoltaic optimization, and sustainability assessments of small hydropower plants. Her research increasingly incorporates advanced data analysis techniques for air pollution studies and has broadened into noise pollution assessment in urban environments. Dr. Hadžiahmetović has secured multiple research grants as principal investigator, including projects analyzing wind data across Bosnia and Herzegovina, laboratory equipment procurement for renewable energy research, and educational enhancement initiatives. She has participated in international collaborations such as the AMOCEAB project funded by the European INTERREG ADRION program and the Quality Improvement of Master programs in Sustainable Energy and Environment project funded by the Norwegian government. She has played a key role in developing research infrastructure at the Faculty of Mechanical Engineering, particularly the Laboratory for Industrial Dust Removal and the Laboratory for Pumps, Compressors, and Ventilators. Her five co-authored books, including "Wind Energy and Wind Power Plants" (2020) and "Transport of Solid Particles by Fluid in Curved Flows" (2022), have established her as a leading authority in her field within Bosnia and Herzegovina.

• Security
• Theoretical Computer Science
• Formal Methods
• +7 more

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

Olugbenga Moses AnubiView profile

Assistant Professor

• Resilient Control Systems
• Robust Control
• Adaptive Control Systems
• +6 more

Olugbenga Moses Anubi is an Assistant Professor in the Department of Electrical & Computer Engineering at the FAMU-FSU College of Engineering, Florida State University. He directs the Resilient and Autonomous Systems Lab (RASLab) and contributes to the Center for Advanced Power Systems (CAPS) and the Center for Intelligent Systems, Control, and Robotics (CISCOR). Ph.D. from the University of Florida His research focuses on Resilient Control Systems for cyber-physical infrastructures, including Adaptive Control , Vehicle Dynamics , and Autonomous Systems . He also explores Real-time Optimization and Collaborative Learning in distributed environments. Recent publications highlight advancements in Cyber-Physical Systems , with emphasis on Resilient State Estimation , Energy Storage Dispatch , and Autonomous Vehicle Control . Key areas include mitigating Adversarial Attacks , Battery Degradation Modeling , and Decentralized Power Systems . He teaches courses such as Signals and Systems , Advanced Control Methods , and Model Predictive Control , alternating specialized electives annually. Labs and teams: RASLab develops self-driving platforms ( MicroNole , AutoNole ), focusing on vision-based lane detection , robust motion control , and collaborative learning in distributed systems.

• Power Electronics
• Power Quality
• Active Power Filters
• +8 more

João Luiz Afonso is a Full Professor at the Department of Industrial Electronics, Engineering School, University of Minho, Portugal. He received his B.Sc. and M.Sc. degrees in Electrical Engineering from the Federal University of Rio de Janeiro, Brazil, in 1986 and 1991, respectively, and his Ph.D. in Industrial Electronics from the University of Minho in 2000. He obtained his Habilitation degree in Electronics and Computers Engineering in 2016. His academic and professional journey includes: Member of the IE R&D Group at Centro ALGORITMI Director of the Department of Industrial Electronics (2017-2021) Coordinator of the Group of Energy and Power Electronics (GEPE) Steering committee member of the thematic line "Smart Cities and People" at ALGORITMI Vice-president of TMOB-HUB - Transportation and Mobility Research Hub Professor Afonso teaches several courses including Electrical Machines, Power Quality and Active Power Filters, Renewable Energies and Electric Mobility, Power Electronics for Smart Grids, and Environmental, Social and Economic Sustainability. His extensive research portfolio spans Power Electronics technologies applied to Power Quality, Active Power Filters, Renewable Energy, Electric Vehicles, Energy Efficiency, Energy Storage Systems, Innovative Railway Systems, Smart Grids, Smart Cities, and Aerospace. His publication record is impressive with over 300 publications including 55 papers in international journals with referee, 240 papers in international conferences with referee, and 9 book chapters. His research impact is evidenced by 4047 citations, an h-index of 30, and 71 papers in Q1/Q2 journals. He has supervised 17 Ph.D. theses and 74 M.Sc. theses, demonstrating his commitment to academic mentorship. Professor Afonso has participated in 32 research projects, coordinating 21 of them. His editorial contributions include being a member of the Editorial Board for MDPI Energies and MDPI Electronics, and serving as Guest Editor for 13 Special Issues of Journals. He has organized several international conferences including GreeNets 2018 and SESC 2019-2023. Among his notable recognitions: IEEE Senior Member since 2016 Listed among the "World's Top 2% Scientists" for 2021 and 2022 Active participation in editorial boards of multiple journals His research group, GEPE, focuses on advancing Power Electronics technologies for sustainable energy systems. Professor Afonso's work bridges theoretical research with practical applications, particularly in the integration of renewable energy sources, electric mobility solutions, and smart grid technologies. His leadership in transportation and mobility research through TMOB-HUB demonstrates his commitment to addressing real-world challenges in sustainable transportation.

Abdelhakim SAIMView profile

Senior Lecturer

• Control of electrical microgrids
• Control of power electronic converters
• Power quality and stability of microgrids
• +4 more

Dr. Abdelhakim SAIM serves as a Senior Lecturer in the Department of Electrical Engineering at Polytech Nantes, University of Nantes, where he teaches Power electronics, analog electronics, electrical system control, and introduction to Smart Grids. His academic home is the Department of Electrical Engineering within Polytech Nantes at the Gavy Campus in Saint-Nazaire. Dr. Saim's research focuses on the control of electrical microgrids, power electronic converters, power quality and stability of microgrids, and maritime microgrids. His work bridges theoretical control strategies with practical implementation, addressing critical challenges in renewable energy integration and grid stability. He has developed advanced control methodologies including adaptive fuzzy control, fractional controllers, and virtual impedance techniques to enhance microgrid performance. Analysis of his publication trends from 2016-2026 reveals a consistent research trajectory with increasing emphasis on AI applications for microgrid design, maritime electrical systems, and optimal energy management in multi-energy systems. His work spans theoretical control algorithms to practical implementation in renewable energy systems, with particular attention to stability challenges in islanded operations. Dr. Saim maintains an active research program with numerous collaborations, particularly with Josep M. Guerrero, Azeddine Houari, and Mohamed Machmoum. His supervision likely focuses on graduate students working on microgrid control systems, power electronics, and renewable energy integration. While specific grant information isn't detailed, his continuous publication record suggests ongoing research funding. His research group appears to focus on practical implementation of advanced control strategies for electrical systems, with growing interest in maritime applications and AI-enhanced microgrid management. Students in his group would gain expertise in both theoretical control methods and hands-on implementation of power electronic systems for modern energy applications.

• Power Electronics
• Semiconductor Devices
• Analog Circuit Design
• +3 more

Prof. Dr. Ertugrul Sönmez serves as Professor in the Faculty of Engineering at Reutlingen University, leading the Semiconductor Circuit Technology Lab. His research focuses on power electronics innovation through semiconductor circuit design, analog systems, and advanced converter topologies. Contact details include email ertugrul.soenmez@reutlingen-university.de and office location in Building 4, Room 213. His work centers on power conversion systems with emphasis on GaN-based technologies , wireless power transfer , and active damping techniques . Key interests include delta-sigma modulation for multilevel converters, dV/dt filter design for motor drives, and high-frequency operation using wide-bandgap semiconductors. Research addresses critical industry challenges in electric vehicle charging, renewable energy integration, and industrial motor control systems. Recent publications (2022-2024) reveal strong focus on modular converter architectures and stability enhancement techniques. His work bridges theoretical control concepts with practical implementation, frequently appearing in top industry conferences like PCIM Europe. Collaborative projects with colleagues such as Gernot Schullerus demonstrate cross-disciplinary approaches to power electronics challenges. Through the Semiconductor Circuit Technology Lab, Prof. Sönmez provides hands-on research opportunities in semiconductor characterization and circuit synthesis. The lab supports student projects including bachelor's/master's theses and industry-collaborative initiatives like ArduSmartPilot. His consistent publication output indicates active supervision of graduate research in power electronics design and implementation.

• Environmental Economics
• Regulation
• Contract Theory
• +2 more

Jihad Elnaboulsi serves as Senior Lecturer with HDR at Université Bourgogne Franche-Comté, where he is Co-director of the DGEP doctoral school and researcher at CRESE (Research Center on Economic Strategies) within the Faculty of Law, Economics, Political and Management Sciences. His institutional base operates from 30 avenue de l'observatoire, 25030 Besançon Cedex, with primary contact via jihad.elnaboulsi@univ-fcomte.fr. Professor Elnaboulsi's research centers on Environmental Economics, Regulation, and Contract Theory, with deep specialization in water and energy sectors. His work examines pollution control mechanisms, nonlinear pricing models for sustainable resource use, and the health impacts of environmental exposures. Recent investigations focus on renewable energy integration challenges, maternal health outcomes near polluting facilities, and regulatory approaches leveraging information transparency as an 'environmental disinfectant'. His publication trends reveal increasing interdisciplinary convergence since 2015, moving from pure water economics toward integrated analyses of energy markets, health outcomes, and regulatory design. Recent articles (2023-2025) demonstrate particular emphasis on uncertainty modeling in renewable energy mergers and the social value of environmental information disclosure, reflecting evolving priorities in climate economics. As active project leader for two major research initiatives (2023-2026), he directs the 'Predicting industrial sector transformations' study funded by Open Studio and the PROXIPEST health-environment project funded by Bourgogne Franche-Comté Region. These grants support doctoral supervision through the DGEP school and provide substantial research infrastructure within CRESE. The CRESE research center forms his primary operational base, hosting collaborative work on environmental regulation and economic strategy. Current projects involve regional government partnerships and international co-author networks, maintaining CRESE's position as a hub for policy-relevant economic research in eastern France.

Michael FinkelView profile

Professor

• High-Voltage Engineering
• Power Systems
• Smart Grids
• +5 more

Prof. Dr.-Ing. Michael Finkel is a full Professor at Augsburg University of Applied Sciences in the Faculty of Electrical Engineering, where he serves as Academic Advisor for International Industrial Engineering, Member of the Faculty Council, and Chair of the Examination Board. His professional affiliations include memberships in CIGRE, IEEE, VDE, and the EMC Project Group of FNN. He received the Bavarian Certificate of Higher Education Teaching in 2009 and multiple research awards including ETG Literature Prizes and Young Author Awards. Professor Finkel's research focuses on High-Voltage Engineering, Power Systems, and Smart Grid technologies. His work addresses critical challenges in renewable energy integration, grid stability, and distributed energy resources. Key research areas include: Island grid operation and emergency power systems Smart grid digitalization and control strategies Electric vehicle integration in urban networks Power system stability and frequency control Renewable energy forecasting and grid integration His recent publications demonstrate strong focus on converter-dominated grids, renewable integration, and smart grid solutions. Research trends show increasing emphasis on real-time grid monitoring, AI applications in power systems, and hybrid energy solutions. Collaborative projects frequently involve industry partnerships and international research networks. Significant scientific recognitions include: ETG Literature Prize 2024 for heat pump load modeling Young Author Award 2025 for hydropower island grid research HSA_transfer Award 2022 for technology transfer Multiple best paper awards at international conferences Professor Finkel actively supervises doctoral candidates in power systems research and leads projects funded by industry and public grants. Current initiatives include developing emergency power solutions for critical infrastructure and advanced monitoring systems for distribution networks. His research group collaborates extensively with the Technology Transfer Centers of Augsburg University and industry partners in the energy sector.

Richard KempterView profile

Professor

• Computational Neuroscience
• Memory Systems
• Hippocampal Circuitry
• +5 more

Richard Kempter is a Professor at Charité - Universitätsmedizin Berlin's Institute of Neuroscience, where he leads research in computational neuroscience with a focus on hippocampal circuitry and memory systems. His work bridges experimental neuroscience with theoretical modeling, examining how neural networks support spatial navigation, memory formation, and consolidation processes. His research interests center on the computational principles underlying hippocampal function, particularly in memory consolidation, spatial navigation, and neural coding. Kempter investigates how hippocampal circuits generate sharp wave-ripple events, how grid cells form spatial representations, and how memory traces transform during systems consolidation. His work combines computational modeling with experimental data analysis to develop testable theories about neural mechanisms. Analyzing Kempter's recent publications reveals a strong focus on hippocampal CA3 circuitry, with particular attention to sharp wave-ripple complexes and their role in memory consolidation. His work demonstrates how specific connectivity patterns between pyramidal neuron subtypes enable memory replay, while his computational models explain how grid-like representations emerge in entorhinal cortex. The research spans multiple scales from single-cell properties to network dynamics, with applications to both rodent and human memory systems. Kempter's scientific contributions have appeared in top-tier journals including Nature , Neuron , and PNAS , reflecting the significance of his work in understanding fundamental neural mechanisms. His publications demonstrate consistent innovation in developing computational frameworks that explain experimental observations while generating new testable predictions about memory systems. His research team collaborates extensively across institutions, working with experimental neuroscientists to bridge theoretical models with empirical data. Current projects examine how neural synchrony creates functional filters during rest states, how population sparseness affects memory capacity, and how subtype-specific connectivity enables sequential activation during memory replay events.

• Nonlinear Wave Propagation
• Numerical Analysis
• Haar Wavelet Methods
• +4 more

Mart Ratas (born September 4, 1990) is a researcher with appointments at King's College London's Department of Biostatistics & Health Informatics (2022-2026) and Tallinn University of Technology's Department of Cybernetics. His career spans multiple institutions including University of Reading where he worked as a post-doctoral research assistant in causal discovery (2021-2022). At Tallinn University of Technology, he has held various research positions including Research Fellow and Junior Research Fellow since 2016. Ratas completed his PhD in Physical Sciences in 2020 at Tallinn University of Technology with his dissertation titled Numerical Analysis of Nonlinear Wave Propagation , supervised by Andrus Salupere and Jüri Majak. He previously earned a Master's degree in Engineering Physics in 2016 and a Bachelor's degree in Engineering Physics in 2014, both from Tallinn University of Technology. His research spans several interconnected domains with primary focus on numerical methods for nonlinear wave propagation , particularly using Haar wavelet techniques. His work extends into medical informatics as evidenced by his 2024 publication on NLP for healthcare providers, epidemiological modeling including COVID-19 spread analysis, and biorobotics through contributions to the U-CAT underwater robot project. His mathematical expertise in spectral analysis and nonlinear systems forms the foundation for applications across physics, engineering, and biomedical domains. Analysis of his publication timeline reveals an evolution from fundamental mathematical research on wave propagation and nonlinear systems toward increasingly applied work in healthcare informatics and epidemic modeling. His recent publications demonstrate a strong interdisciplinary approach, bridging computational mathematics with practical healthcare applications, while maintaining his core expertise in numerical methods for differential equations. Ratas has contributed to several significant research projects including the €1.225M Modelling of nonlinear wave processes in advanced materials (2021-2025), the €120K Monte-Carlo analysis of virus spreading during the pandemic (2020-2021), and the €843K Bio-inspired underwater robots project (2015-2020). These projects demonstrate his ability to work on both theoretical mathematical problems and applied engineering challenges. His technical expertise spans computational mathematics, wavelet methods, and software development, with his current role at King's College London focusing on Research CogStack development. His work on the U-CAT biomimetic underwater robot shows practical application of his theoretical knowledge in robotics and control systems.