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Paul BoniolView profile

Researcher

• Time Series Analytics
• Anomaly Detection
• Machine Learning
• +2 more

Paul Boniol is a researcher at Inria, affiliated with the VALDA project-team—a collaboration between Inria Paris, École Normale Supérieure, and CNRS. His work focuses on time series analytics, anomaly detection, and machine learning applications. Ph.D. in Computer Science and Applied Mathematics (University of Paris, EDF R&D) Visiting Ph.D. at University of Chicago Education: Grenoble INP ENSIMAG Engineering School Research interests span: Unsupervised anomaly detection in large time series Time series management systems Machine learning for predictive maintenance Graph-based time series analysis Explainable AI for temporal data Recent publications emphasize advancements in: Weakly supervised anomaly localization Graph embedding techniques Model selection frameworks Interactive visualization tools Smart meter data analysis Scientific recognition: Paul Caseau Thesis Prize 2022 Lambdamu Congress Research-Industry Prize 2022 BDA & INFORSID Ph.D. Prizes 2022

AHMET ERENView profile

Lecturer

• Electrical and Electronics Engineering
• Smart Grids
• Electrical Energy and Power Systems
• +3 more

Ahmet Eren serves as a Lecturer at Gaziantep University's Technical Sciences Vocational School within the Electrical and Energy Department since 2019, holding concurrent appointments in both undergraduate and associate degree programs. His academic foundation includes a Doctorate in Electrical and Electronic Engineering from Gaziantep University's Institute of Science (ongoing since 2019), complemented by a Master's degree (2014-2018) and Bachelor's degree (2009-2014) from the same institution's Faculty of Engineering. His educational trajectory is structured as follows: Doctorate (Dr.) in Electrical and Electronic Engineering, Gaziantep University Institute of Science (2019-) Master of Science in Electrical and Electronics Engineering, Gaziantep University Institute of Science (2014-2018) Bachelor of Science in Electrical and Electronics Engineering, Gaziantep University Faculty of Engineering (2009-2014) Research focuses intensely on modern power infrastructure challenges, specializing in Smart Grids, Renewable Energy Systems integration, and advanced Battery Storage Solutions. His work bridges theoretical control strategies with practical implementations for grid stability, evidenced by publications targeting multilevel converters, state-of-charge balancing, and microcontroller-based power quality regulators that address harmonic mitigation and reactive power compensation. Recent publications (2022-2023) reveal a concentrated research thrust toward enhancing grid resilience through battery energy storage systems and power quality devices, with methodologies spanning adaptive control schemes to hardware implementations using ARM Cortex processors. These works consistently target Q1 journals like ISA Transactions and Applied Energy, emphasizing real-world applicability in renewable energy integration scenarios. Three TÜBİTAK-funded national projects underscore his technical leadership: development of fault-tolerant SOC balancing for battery storage (2021-2024), high-density power quality regulators (2021-2024), and SiC-based inverters for renewable applications (2019-2020). These initiatives culminated in an international patent for fault-tolerant state-of-charge balancing methods (WO2024039339A1). Teaching responsibilities encompass Mathematics for undergraduate programs and specialized associate-degree courses including Microcontrollers, Fiber Optic Communications, and Power Systems, reflecting his dual commitment to foundational theory and applied technical education within vocational training frameworks.

• Service-Oriented Computing
• Business Process Management
• Scientific Workflows
• +4 more

D. (Dimka) Karastoyanova is a Professor of Information Systems at the University of Groningen , Faculty of Science and Engineering, Computer Science Department. She leads the Information Systems Group and serves as vice-chair of the Bernoulli Institute Board since 2024. Previously, she was Head of the Computer Science Department (2020-2024) and a member of the Informatics Europe Board since 2023. Dimka's research focuses on data-driven, service-based process automation for cross-organizational collaboration, emphasizing runtime adaptability, security, and sustainability . Her work spans applications in manufacturing, logistics, healthcare, and eScience , integrating Scientific Workflows, Cloud Computing, and Middleware Systems to enhance process flexibility. Her scientific contributions include 15+ publications on topics like Choreography Lifecycle Management, BPEL Adaptation, and Cloud Migration Frameworks , reflecting her expertise in Service-Oriented Computing, Workflow Technologies, and Distributed Systems . She received the Rosalind Franklin Fellowship and has served on program committees for IEEE, ICWS, and BPM conferences . Dimka holds a PhD in Computer Science (TU Darmstadt, 2006), an MSc in Computational Engineering (University of Erlangen-Nuremberg), and MSc/BSc in Industrial Engineering (Technical University of Sofia). She previously held roles as Associate Professor of Data Science at KLU Hamburg and Senior Researcher at Hasso Plattner Institute, University of Potsdam.

• Cyber-Physical Systems
• Real-Time Systems
• Distributed Systems
• +4 more

Geir Mathisen serves as a Professor within the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is an active member of the Group for Industrial Computer and Instrumentation Systems, focusing on real-time systems integration and cyber-physical applications across industrial and energy domains. His educational background includes a Civil Engineering degree and a Doctorate (PhD), both earned from NTNU's Department of Technical Cybernetics, establishing foundational expertise in control systems and technical cybernetics. Professor Mathisen's research spans cyber-physical systems, deterministic networking, and distributed real-time systems with significant applications in smart grids and industrial automation. His work pioneers magnetic field energy harvesting for railway systems, edge-based fault detection for photovoltaic panels, and multi-robot coordination in sewing automation. Current investigations focus on power system state estimation, optimal power flow in smart grids, and deterministic communication channels for latency-sensitive applications. Analysis of his 2020-2024 publications reveals a strategic convergence of real-time computing with energy systems, particularly in railway energy harvesting and photovoltaic monitoring. His research consistently bridges theoretical advances in networking protocols with practical industrial implementations, emphasizing determinism and composability in distributed cyber-physical environments. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Professor Mathisen actively supervises doctoral and master's students, including Johannes Schrimpf (2013 PhD thesis on industrial robot control), and offers project assignments as noted for fall 2021. His research is conducted through Norwegian collaborative projects on flexible distribution grids and smart grid services, though specific grant mechanisms remain unspecified in the source material. He contributes significantly to the Group for Industrial Computer and Instrumentation Systems at NTNU, which develops advanced solutions for industrial control, measurement systems, and cyber-physical integration, particularly in energy and manufacturing contexts.

Abbas KouzaniView profile

Professor

• Biomedical Engineering
• 3D Printing
• Neurotechnology
• +5 more

Abbas Kouzani is a Professor of Engineering at the Deakin University School of Engineering , with a focus on cutting-edge biomedical engineering and AI applications. His work bridges 3D/4D printing and clinical challenges , particularly in dysphagia management and neurological disorders.

• Computational Mechanics
• Multiphysics Modelling
• Smart Materials
• +4 more

Dr Chennakesava Kadapa is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University. He previously held a Lecturer position at the University of Bolton (2020-2022) and completed his PhD in Mechanical Engineering at Swansea University (2010-2013) with a Zienkiewicz Scholarship. Bachelor of Technology in Mechanical Engineering (2002-2006) Master of Technology in Machine Design (2006-2008) PhD in Mechanical Engineering (2010-2013) His research focuses on computational mechanics , multiphysics modelling , and smart materials , with expertise in finite element methods, computational fluid dynamics, and high-performance computing. Current projects explore magnetoactive polymers, cerebral blood flow dynamics, and energy harvesting systems. Recent publications highlight machine learning integration with fluid-structure interaction and magnetomechanical coupling . Articles span hyperelasticity , biomechanics , and smart composite materials . Scientific recognitions include: Zienkiewicz Scholarship (Swansea University) Software Carpentry Instructor Certification (University of Manchester, 2019) Fellowship of the Higher Education Academy (FHEA) He has supervised students and collaborated on industry-funded projects. His Computational Multiphysics Lab develops open-source simulation tools for complex engineering and biomedical applications.

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.

• 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.

• Intelligent Transportation Systems
• Traffic Flow Modeling
• Linear Parameter Varying Systems
• +7 more

Professor Balázs Adam Kulcsár is a faculty member in the Automatic Control research group at the School of Electrical Engineering and Computer Science, Chalmers University of Technology. With 104 publications and involvement in 34 research projects, he is a prominent researcher in intelligent transportation systems. His work spans multiple domains within transportation engineering and control theory, with significant contributions to traffic flow modeling, electric vehicle routing, and advanced control systems. Professor Kulcsár's research primarily focuses on intelligent transportation systems design, traffic flow modeling for control, Linear Parameter Varying systems, and failure diagnostics. His work demonstrates a strong integration of control theory with practical transportation challenges, particularly in the context of electric mobility and sustainable transportation. Recent research shows a growing emphasis on machine learning applications for transportation optimization, electric vehicle infrastructure, and urban traffic management. Analysis of his recent publications reveals a clear trajectory toward sustainable transportation solutions, with electric vehicle charging infrastructure, fleet management, and public transit optimization as dominant themes. His work increasingly incorporates machine learning techniques, particularly graph neural networks and reinforcement learning, to address complex transportation challenges. The research demonstrates strong interdisciplinary collaboration across engineering disciplines, with a focus on practical implementation of theoretical advances. Professor Kulcsár leads and participates in numerous research projects focused on future transportation systems, including projects on electric mobility, traffic optimization, and intelligent transportation infrastructure. His research group collaborates extensively with industry partners like Volvo and Heart Aerospace, as well as with other academic institutions. Current projects include Rethinking the Sustainability of V2G, Quantum computing for future mobility solutions, and Digital Twin for Energy Prediction. His research group maintains strong connections with transportation industry stakeholders and contributes to major initiatives such as the Transport Area on Advance project, which aims to achieve leading competence in future green, safe, and efficient transport systems. The team operates at the intersection of theoretical control systems and practical transportation applications, with particular expertise in modeling complex traffic phenomena and developing implementable control solutions.

Clara GoodView profile

Associate Professor

• Sustainable Transport
• Renewable Energy
• Electric Aviation
• +3 more

Clara Good is an Associate Professor at the Department of Technology and Safety , UiT The Arctic University of Norway . Her research focuses on sustainable energy systems, particularly solar energy in northern contexts and its integration with electric transportation. Current projects: Northern Homes (Arktis 2030), Electric Aviation Research groups: ARC - Arctic Centre for Sustainable Energy , Sustainable Technology and Safety (STS) Research interests center on: Evaluating solar energy potential in urban Arctic environments Developing PV-EV energy systems for grid stability Assessing life cycle emissions of zero-emission buildings Exploring solar thermal and photovoltaic-thermal (PV/T) systems Advancing electric aviation infrastructure through solar integration Conducting sensitivity analysis on emission compensation strategies Recent publications demonstrate expertise in: Hybrid electric aircraft energy optimization City-scale spatiotemporal solar/EV modeling PV/T system performance for Arctic buildings Life cycle assessments of solar-integrated systems User engagement in energy transition projects Feasibility of pure renewable national energy grids Teaching responsibilities include: TEK-2008 Sustainable Transport Technology TEK-1001 Introduction to Sustainable Technology Clara leads the Northern Homes project (2022-2025) and contributes to smart energy initiatives like Smart Senja/RENEW . She actively collaborates across European institutions while maintaining fieldwork in Tromsø.

• Electrical Engineering
• Automation
• Smart Grids
• +5 more

Prof. Dr. Sebastian Gaulocher serves as Programme Head for the Bachelor in Electrical and Information Technology and is a Lecturer at the Institute of Automation within the School of Engineering and Environment at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Based at Campus Brugg-Windisch, his contact email is sebastian.gaulocher@fhnw.ch. His research spans three interconnected domains: Smart Grids : Optimizing energy consumption coordination with decentralized generation/storage systems Noise Control : Developing active noise-cancelling office chairs using advanced signal processing Industrial Drives : Enhancing gearless mill drive maintenance and remote diagnostics for mining equipment Publications from 2011-2016 reveal consistent industry collaboration (notably with ABB) and a practical engineering approach bridging theoretical algorithms with real-world implementation across energy, acoustics, and industrial systems. Scientific awards were not mentioned in the source material. No details about student supervision or research grants are provided, though his Programme Head role indicates academic leadership responsibilities. Specific laboratory teams or research infrastructure at FHNW's Institute of Automation are not detailed in the available text.

• Power Electronics
• Control Systems
• Renewable Energy Integration
• +3 more

Prof. Dr. Osman Kukrer is a full-time faculty member at Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Electrical and Electronics Engineering. He has been actively supervising graduate students in power electronics, control systems, and renewable energy integration since the 1990s. His research spans advanced power conversion topologies, including quasi-Z-source inverters multilevel converters active power filters grid-connected systems adaptive beamforming algorithms electric vehicle grid integration Notable contributions include the EMU Publication Citation Award (2017) and extensive supervision of 41 graduate theses, with research interests aligning with modern energy systems and signal processing techniques.

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.

Ali OzanView profile

Researcher

• Electrical Engineering
• Energy Storage Systems
• Power Distribution Networks
• +3 more

Ali Ozan is a Research Assistant at the Department of Electrical Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University. His academic journey includes a Ph.D. in Electrical Engineering (2020), a Master's in Electrical Engineering (2017), and a Licence degree in Electrical Engineering (2012), all from Istanbul Technical University. His research focuses on energy storage systems and their impact on power distribution networks , particularly mobile battery storage applications. Key areas of interest include smart grid technologies , renewable energy integration , and electric power distribution engineering . Ali's 2020 publication on mobile battery storage systems highlights his work in optimizing distribution networks and addressing challenges in electricity storage engineering . His expertise aligns with UN Sustainable Development Goals related to affordable and clean energy. Current contact details: Email ozana@itu.edu.tr , Room 7209, Ayazaga Campus, Istanbul Technical University.

• Renewable Energy Systems
• Sustainable Energy
• Energy Modeling
• +3 more

Christin Randel is an Assistant Professor at the Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich. She contributes to research and teaching in energy system modeling and sustainability, with a focus on applications in Latin America, developing countries, and smart microgrid technologies. Contact details include her email christin.randel@tum.de and office phone +49 (89) 289 - 52740. Current projects at ENS: COOLING DOWN, Follow_ETSAP, Heat2Q, H2-Reallabor Burghausen, IRIDIOS, Kernfusion in Energiesystemen, NEED, OpEn Farming, SEDOS, SES Lab, STROM - TP2, STROM - TP3. Completed projects: 4NEMO, Clean-Tech-Campus, DecEnSys, DSM in Gebäuden, EEBatt, Energy Valley Bavaria, ETSAP-D, eXtremOS, MOOC "Decomposition methods in energy system modelling", GEO.KW, Geothermie-Allianz Bayern, Gesicherte Stromversorgung in Bayern, Klimaschutzteilkonzept Greifswald, Kopernikus-P2X, open_MODEX, Power-to-Gas, Zusammenarbeit mit TUMCREATE ESTL.