Find Academic Supervisors

Mostafa KheshtiView profile

Assistant Professor

• Renewable Energy Integration
• Smart Grids
• Power System Modelling
• +4 more

Dr. Mostafa Kheshti is an Assistant Professor at the School of Engineering, University of Warwick , specializing in Renewable Energy Integration and Smart Grids. His career includes roles as a power system engineer at Iran’s Regional Dispatching Centre and an Associate Professor at Shandong University (2018–2021). He joined Warwick as a Research Fellow in 2021 before transitioning to his current faculty position. Research interests focus on renewable energy-based ancillary services , power system modeling , control and stability , and real-time simulation for smart grids. His work addresses challenges like grid integration of renewables, frequency control, and fault management in distributed systems. Key achievements include the Future Young Talent Scholar award (Shandong, 2019) , Best Paper Awards (2016, 2019) , and recognition as an Outstanding International Student (China, 2016) . He has led major grants, including projects on AI-based ancillary services and wind farm frequency participation. Grants & Projects : National Grid ESO: Transient Stability Assessment (2023–2024) National Natural Science Foundation of China: AI-driven frequency control (2019–2022) Shandong Province: Cost-effective wind farm support solutions (2019–2021) His publications emphasize inertial control strategies , fault detection in distribution networks , and hybrid energy storage systems . Recent work explores machine learning applications for grid stability and renewable integration.

David ValeriuView profile

Professor

• Electromagnetic Compatibility
• Biomedical Instrumentation
• Electromagnetic Field Measurements
• +3 more

Prof. David Valeriu is a Professor at the Department of Electric Engineering, Technical University of Iasi. His research focuses on electromagnetic compatibility, biomedical instrumentation, and environmental monitoring of electromagnetic fields. He leads projects investigating the health effects of electromagnetic fields on humans, including effects on bioelectric signals and induced currents in the body. His work also involves developing advanced measurement systems and materials for electromagnetic shielding. Key research areas include: Electromagnetic field measurements in hospitals, power substations, and residential areas Biomedical signal processing (ECG, PPG, brain activity) Development of low-cost embedded platforms for medical applications Electromagnetic interference mitigation in medical devices and imaging systems His recent studies address: Long-term magnetic field surveys in laboratories and hospitals Exposure assessment of mobile phone and power line emissions Omni-directional shielding materials for high-frequency radiation Integration of biosignal monitoring systems with ambient assisted living Prof. Valeriu has contributed to over 50 peer-reviewed publications, with a focus on electromagnetic field characterization and biomedical engineering applications. His work frequently explores the intersection between environmental safety and medical technology.

Kuhar AndrijanaView profile

Lecturer

• Electromagnetics
• Numerical Methods
• Biomedical Engineering
• +2 more

Kuhar Andrijana is a Lecturer at the Institute of Electronics within the Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. She holds a BSc (2006), MSc (2010), and PhD (2018), all from FEIT. Her academic work focuses on applied electromagnetics and computational methods, with affiliations to research in electromagnetic field exposure and grounding systems. Her research interests span: Electromagnetics : Human exposure modeling near transmission lines and wireless networks. Numerical Methods : Finite Element Method (FEM), Method of Moments (MoM), and circuit-based simulations. Biomedical Engineering : ECG signal processing and cortical activity analysis. Electrical Safety : Grounding systems optimization and EMF impact assessment. Her recent publications (2017–2023) demonstrate a consistent focus on: Modeling electromagnetic exposure risks from infrastructure (e.g., transmission lines, 5G networks). Advancing numerical techniques for electrostatic and grounding problems. Exploring biomedical applications like ECG noise handling and neural signal representation. No scientific awards or student advisories are documented in available sources. She is affiliated with the Institute of Electronics' research initiatives but no specific labs or teams are detailed.

Gabriel StoianView profile

Lecturer

• Computer Networks
• Digital Communications
• Operating Systems
• +7 more

Gabriel Stoian is a Lecturer in the Computer Science Department at the Faculty of Mathematics and Computer Science, University of Craiova, Romania. He has been serving in this role since 2008, having previously held the position of Assistant Professor from 1992 to 2008. His academic and research activities are deeply rooted in computer systems and networking. His educational background includes a PhD from the University of Craiova (2007) with a thesis titled Model for quantitative and qualitative analysis of ADSL communication , and a degree in Computer Science from the Faculty of Automatics, Computers and Electronics at the University of Craiova (1984–1989), where his graduation paper was on a logic analyzer. Gabriel Stoian's research interests include Computer Networks, Digital Communications, Operating Systems, and Computer Architecture. His work emphasizes mobile and broadband communication systems, particularly in WiMAX and ADSL technologies, and explores innovative solutions using mobile agents and optimization algorithms. The recent publications reflect a consistent focus on network performance, traffic management, and communication system design. Key themes include handoff optimization in mobile networks, DSLAM and line card architecture, and intelligent systems for network control. His research bridges theoretical models with practical implementations in telecommunications and embedded systems. IEEE Member (Computer Society, Communication Society), since 2002 Association for Computing Machinery, since 2004 Romanian Mathematical Society (SSMR), since 2000 Research Center of Artificial Intelligence, Craiova, since 2000 Gabriel Stoian has participated in national research grants such as Algebraic Properties of the Labelled Stratified Graphs and Knowledge Representation System Based on Frames . While no formal advising roles are listed, his collaborative publications suggest mentorship and team-based research. He has taught courses including Operating Systems, Computer Networks, and Java Technologies. He is associated with the Research Center of Artificial Intelligence in Craiova and has contributed to projects involving frame-based knowledge systems and fault diagnosis in digital circuits. His ongoing work reflects a strong integration of academic teaching, applied research, and professional engagement in international computing societies.

Robert LowndesView profile

Research Fellow

• High Voltage Engineering
• Power Transmission Systems
• Materials Science
• +3 more

Robert Lowndes is a Research Fellow in the Department of Electrical and Electronic Engineering at the University of Manchester, specializing in advanced materials for high-voltage electrical systems and power transmission infrastructure. His educational background includes: PhD in Structures and Microwave Dielectric Properties of Ceramics of Ca(1-x)Nd(2x/3)TiO3, University of Manchester (2012) MEng in Materials Science and Engineering, University of Manchester (2008) Dr. Lowndes' research spans high voltage engineering , power transmission , and functional materials , with pioneering work on superhydrophobic coatings for overhead conductors and conformal coatings for aerospace circuit boards. His innovations address critical reliability, environmental impact, and safety challenges in electrical infrastructure through atomic-scale material design. Recent publications reveal a strategic focus on enhancing durability of electrical components via nanotechnology-driven coatings, with strong industry collaboration under EU initiatives like Clean Skies targeting aerospace and energy applications. His recognition includes: Morgan Technical Ceramics University-Industry Fellowship Prize (2008) for best final-year materials research project As a ProfGradIMMM member, he actively contributes to EU-funded projects including high-voltage aircraft systems and transmission network improvements, collaborating with industry partners on real-world material solutions for next-generation power systems.

• Railway Electrification
• Traction Power Systems
• DC Power Supply Networks
• +3 more

Ireneusz Chrabąszcz serves as a Professor in the Department of Electrical Engineering at Krakow University of Technology's Faculty of Electrical and Computer Engineering. His institutional affiliation is consistently documented through active publications and university directory listings, with primary research conducted within railway traction power systems infrastructure. His research program centers on DC traction power networks for railways and tramways, specializing in energy loss analysis, rectifier unit performance evaluation, load distribution simulations, and ice prevention methodologies for overhead lines. Key investigations include modernization impacts on power supply efficiency, rectifier utilization in traction substations, and thermal-electrical approaches to catenary de-icing. His work bridges theoretical modeling with practical railway infrastructure challenges. Analysis of his 2014-2018 publications reveals persistent focus on optimizing traction power systems through simulation methodologies. Dominant themes include DC railway electrification efficiency, load balancing in substation networks, and innovative solutions for winter operation challenges. His research consistently addresses real-world problems in both mainline railways (including Warsaw Metro Line II) and urban tram systems, with strong emphasis on practical implementation. No scientific awards were documented in the provided source material. The available information contains no references to student advising activities, research supervision, or grant funding. His collaborative work primarily involves researchers from Krakow University of Technology including Janusz Prusak, Vasyl Hudym, and Adam Jagiełło across multiple publications.

Timo KehrerView profile

Professor

• Software Engineering
• Model-Based Systems
• Cyber-Physical Systems
• +7 more

Prof. Timo Kehrer is a Professor and Head of the Software Engineering Group (SEG) at the Institute of Computer Science, University of Bern. He also serves as Deputy Director of Studies, overseeing academic programs in software engineering. His research focuses on variability modeling, model-based systems engineering, simulation-based testing of autonomous systems, and empirical studies in software development practices. Key areas include software product lines, cyber-physical systems, and the application of formal methods in industrial contexts. Notable contributions include work on Community-driven variability management in open-source software, Automated testing tools like ScoutSL and TEASER , Simulation-based frameworks for self-driving cars (e.g., Sensodat datasets), and Empirical analyses of GitHub Actions workflows and merge conflict resolution. His research bridges theory and practice, addressing challenges in software sustainability, AI-driven development, and the integration of formal verification tools like TLA+. He actively participates in conferences such as VaMoS (Variability Modelling) and contributes to open-source projects in model-driven engineering. Prof. Kehrer collaborates with industry partners to advance tools for model repositories, vulnerability detection (e.g., VUDENC ), and semantic analysis of software changes. His work emphasizes reproducibility, tool support for developers, and educational initiatives to modernize software engineering curricula.

Shesha JayaramView profile

Professor

• High-Voltage Engineering
• Electrical Insulation Diagnostics
• Nanocomposite Materials
• +7 more

Dr. Shesha Jayaram is a Professor and Director of the High Voltage Engineering Laboratory at the University of Waterloo's Department of Electrical and Computer Engineering. She holds adjunct professorships at the University of Guelph and McMaster University. Her research focuses on high-voltage engineering, insulation diagnostics, nanocomposite materials, and pulse power applications in biotechnology and environmental engineering. Dr. Jayaram earned her B.A.Sc. (1980) and M.A.Sc. (1983) from Bangalore University and the Indian Institute of Science, respectively, and her Ph.D. (1990) from the University of Waterloo. She has published over 350 articles, holds patents globally, and received prestigious awards including the IEEE IAS Outstanding Achievement Award (2023) and ESA Lifetime Achievement Award (2021). Education: Ph.D., Electrical Engineering, University of Waterloo (1990) M.A.Sc., High Voltage Engineering, Indian Institute of Science (1983) B.A.Sc., Electrical Engineering, Bangalore University (1980) Her research interests span conduction/breakdown mechanisms, HV stress, partial discharge analysis, insulation failure, and energy systems. Recent work emphasizes nanocomposite materials for thermal and erosion resistance, pulse power applications in food processing, and high-voltage testing techniques for EV motors and transformers. Her publications reflect a focus on material durability under transient stresses, insulation aging mechanisms, and renewable energy integration. Awards: 2023 IEEE Industry Applications Society Outstanding Achievement Award 2021 ESA Lifetime Achievement Award 1998 Karnataka State Gold Medal (India) Teaching: Courses include ECE 464 (High Voltage Engineering), ECE 6608PD (Dielectrics), and ECE 665 (High Voltage Applications). She actively mentors graduate students in electrical engineering and energy systems. Her lab, the High Voltage Engineering Laboratory, drives innovations in insulation diagnostics and sustainable energy technologies.

• Renewable Energy
• Power Systems
• Smart Grids
• +5 more

Predrag Mršić is a Senior Lecturer at the Faculty of Electrical Engineering , University of Banja Luka. His work focuses on renewable energy integration, smart grid technologies, and fault detection in electrical networks. Education: Master of Electrical Engineering (assumed from "ma" title). Research: Specializes in photovoltaic systems, wind-diesel-battery hybrid power supplies, and Monte Carlo simulations for techno-economic assessments. Projects: Participates in EU-funded initiatives like "Digital Twins for Renewable Energy Systems in the Adriatic-Ionian Region" and national grants from the Ministry of Scientific-Technological Development. Tools: Leverages ORCID 0000-0002-8717-7292 and Google Scholar for academic visibility. Recent publications analyze solar panel orientation , hybrid power systems , and fault detection algorithms in distribution networks. His work often combines experimental validation with Monte Carlo modeling to address energy efficiency challenges. Projects like "Grid-Connected PV System Control Strategy" (2014) and "Fault Detection via Magnetic Field Measurement" (2020-2022) highlight his long-term engagement with renewable energy and grid reliability. Collaborations with institutions like ABB Research Center (Poland) and EU partners underscore his international research network.

Kostas KopsidasView profile

Senior Lecturer

• Power System Planning
• Overhead Lines Design
• Dynamic Thermal Rating
• +5 more

Kostas Kopsidas is Senior Lecturer in Power System Planning, Operation and Reliability at University of Manchester's School of Electrical and Electronic Engineering. Holds PhD in Electrical Power Engineering (Manchester), MSc with Distinction (Manchester), and BEng degrees from UMIST and Technological Educational Institute of Piraeus. Research focuses on enhancing power network resilience through: Overhead line performance optimization Dynamic thermal rating systems Novel conductor technologies HVDC and hybrid AC/DC systems Grid-scale battery integration Industry engagement includes consultancy for National Grid, UK Power Networks, and CIGRE working group leadership. Recognized as Bhattacharyya Award Finalist (2022) for innovations enabling increased transmission capacity.

• Fibre-Optic Sensors
• Optical Sensing
• Smart Grid Monitoring
• +13 more

Dr Grzegorz Fusiek is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde and a senior member of the Advanced Sensors Team within the Institute for Energy and Environment. His work focuses on the design and development of optical sensors for industrial applications in power and energy, oil and gas, nuclear, and civil engineering. Education: PhD in Wavelength Discriminating Devices and Spectrally Encoded Sensors for Dynamic Monitoring of Electrical Plant, University of Strathclyde (2007) MSc, Lublin University of Technology (2000) His research interests center on fibre-optic sensor systems for static and dynamic measurements of temperature, pressure, voltage, current, strain, and vibration. These sensors are applied in electrical plant monitoring, power system protection, fault detection, nuclear reactor diagnostics, and structural health monitoring in harsh environments. He specializes in FBG and FP interferometer-based sensors, sensor interrogation systems, signal processing, and LabVIEW programming. His recent publications highlight advancements in photonic current sensors for HVDC networks, optical overhead line monitoring, and conductor lifetime estimation using optical sag sensors. These works reflect a strong trend toward real-time, distributed optical sensing for smart grid resilience and condition monitoring. Scientific Awards and Recognition: Fellow of the Higher Education Academy (HEA) Member of IET, IEEE, and OSA Dr Fusiek has served as co-investigator on multiple research projects, including those funded by EPSRC and BEIS, focusing on photonic supervision for grid resilience and distributed sensing. He has co-supervised MSc and PhD students and contributed to teaching in electrical circuits and systems engineering. He is also active in academic service as a guest editor for Sensors journal and peer reviewer for Energies and IEEE journals. He leads in the development of datasets and equipment related to optical sensing, including datasets on HVDC protection and optical medium voltage transducer performance. His work supports UN Sustainable Development Goals related to clean energy and industry innovation.

• Integrated Sensing and Communication
• Wireless Communications
• Signal Processing
• +6 more

Dr. Fan Jiang serves as an Associate Senior Lecturer at Halmstad University's School of Information Technology, where he leads research at the intersection of wireless communications and localization technologies. His academic profile reflects strong technical expertise in next-generation wireless systems with practical applications in vehicular networks and satellite communications. His research program focuses on integrated sensing and communication (ISAC) frameworks, with particular emphasis on: Massive MIMO and millimeter wave system design Wireless localization/synchronization algorithms Integration of sensing functionalities within communication protocols Applications for vehicular positioning and satellite networks Analysis of his 15 publications from 2022-2024 reveals consistent output in high-impact venues, with growing emphasis on satellite communications and reconfigurable intelligent surfaces. His work demonstrates strong mathematical rigor in channel modeling and algorithm design while addressing practical implementation challenges like synchronization errors and hardware constraints. Dr. Jiang maintains active research collaboration through co-authorship networks and participates in experimental validation efforts, as evidenced by his 2022 field study on 5G mmWave positioning. His technical approach balances theoretical innovation with real-world applicability across multiple wireless domains.

• Power Systems
• Renewable Energy
• Smart Grids
• +7 more

Čedomir Zeljković is a full professor at the Department of Power Engineering, Faculty of Electrical Engineering, University of Banja Luka, where he has been actively contributing to academic and research activities. His position as a regular professor, with appointment date listed as December 1, 2024, indicates his senior academic standing within the institution. He maintains active research collaborations both within the university and internationally, particularly in the field of renewable energy integration and power system reliability. Professor Zeljković's research interests span multiple critical areas of modern power engineering. His work primarily focuses on renewable energy integration, particularly photovoltaic and wind systems, with significant contributions to Monte Carlo simulation methods for power system analysis. His expertise extends to fault detection in medium voltage networks, optimization of hybrid power systems, and economic assessment of distributed generation. His research demonstrates a strong connection between theoretical modeling and practical implementation, with numerous publications addressing real-world power system challenges. Analysis of his recent publications reveals a clear research trajectory focused on sustainable energy solutions and power system reliability. His work increasingly incorporates advanced computational methods including Monte Carlo simulations and machine learning techniques for energy forecasting. The publications show strong international collaboration, with co-authors from various European institutions. His research addresses both fundamental power engineering challenges and emerging issues related to renewable energy integration in modern power networks. Professor Zeljković has secured significant research funding through multiple projects, including the current INTERREG project 'Unapredjenje sistema obnovljive energije u Jadransko-jonskom regionu kroz koriscenje digitalnih blizanaca' (2024-2027) with a value of 398,206 BAM. Previous projects include national research initiatives on fault detection in overhead power lines, renewable energy for mobile telephony base stations, and power quality improvement for industrial consumers. His work demonstrates strong industry connections, particularly with ABB through previous international collaborations. His academic contributions extend beyond research to educational materials, with three notable publications: 'Elektrane' (2024), 'Primjena Monte Karlo simulacija u elektroenergetici' (2024), and 'Obnovljivi izvori energije: Solarna energetika' (2018). These works serve as important educational resources for students and professionals in the power engineering field, reflecting his commitment to knowledge dissemination alongside research innovation.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +6 more

Đorđe Lekić is a Senior Lecturer at the Faculty of Electrical Engineering, University of Banja Luka, Bosnia and Herzegovina. His career focuses on electrical machine design, power system optimization, and fault detection methodologies. Academic Affiliation: Faculty of Electrical Engineering, University of Banja Luka Research Interests: Power systems, renewable energy integration, finite element analysis, fault detection, and electrical machine design. His research explores finite element modeling for electromagnetic applications, hybrid power supply systems for remote infrastructure, and fault detection in distribution networks. He has contributed to 3D simulation platforms and optimization algorithms for electrical machines. Scientific contributions include projects on renewable energy systems for mobile telephony base stations and fault passage indicators in medium voltage networks. Collaborations span institutions like the University of Belgrade and ABB Corporate Research Center in Poland. Publications highlight trends in smart grids , Battery Storage Integration , and Electromagnetic Design across Europe. His work emphasizes sustainable energy solutions and computational efficiency in power systems. Current projects involve designing permanent magnet machines and real-time magnetic field monitoring for overhead power lines. He works with colleagues including Predrag Mršić, Petar Matić, and Bojan Erceg.

Aleksandar RankovićView profile

Professor

• Power Systems Analysis
• Electromagnetic Field Modeling
• Artificial Intelligence in Power Engineering
• +4 more

Aleksandar Ranković is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences, University of Kragujevac, Serbia. His academic career spans over two decades, focusing on power systems analysis, electromagnetic compatibility, and artificial intelligence applications in energy systems. B.Sc. (1994), M.Sc. (2002), and Ph.D. (2010) in Electrical Engineering Specializes in power system control, state estimation, and renewable energy integration Active researcher in distribution network optimization and electromagnetic field modeling Research interests include: Power system state estimation (including Kalman filter-based methods) Integration of distributed energy sources Electromagnetic field mitigation in overhead power lines Neural network applications for energy consumption forecasting Short-circuit current calculations in mixed-generation networks His publications demonstrate expertise in: Three-phase dynamic state estimation Multi-objective optimization of transmission lines Measurement correlation in microgrids Comparative analysis of network reliability metrics EMF safety in power infrastructure