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Boris KoldehofeView profile

Professor

• Distributed Systems
• Computer Networks
• Software-defined Networking
• +4 more

Prof. Dr. Boris Koldehofe is a Full Professor of Distributed and Operating Systems at the Technical University of Ilmenau, Germany since 2023. Previously, he held Full Professor of Computer Networks at the University of Groningen (2020–2023) and served as a Senior Researcher/Lecturer at Technical University of Darmstadt (2014–2020). He is also an Adjunct Professor at TU Darmstadt since 2020. Research Focus: Distributed Systems, Software-defined Networking, Complex Event Processing (CEP), Fog Computing, Privacy Engineering Education: Habilitation in Communications and Distributed Systems (2019), PhD in Computer Science (2005) Research Trends : His 2024–2023 publications emphasize analog/memristor-based network computing , privacy-preserving CEP , and time-sensitive networking . Key themes include programmable data planes , AI-driven infrastructure , and energy-efficient systems . Recent work explores federated learning in vehicular networks and privacy engineering for IoT analytics . Projects & Leadership : He leads the DFG CRC 1053 MAKI (2014–2024) and the Parrot: Privacy Engineering for IoT project (2021–). He serves as principal investigator for dynamic Industry 4.0 communication networks and has managed collaborations with institutions like EPFL, University of Stuttgart, and University of Heidelberg.

• Chemical Engineering
• Manufacturing Engineering
• Risk Management
• +7 more

Chike Oduoza is Professor of Process and Manufacturing Engineering at the University of Wolverhampton's Faculty of Science and Engineering, where he leads the Chemical Engineering department. With a career spanning over three decades, he holds chartered status from the Institution of Chemical Engineers and is a Senior Fellow of the Higher Education Academy. His academic leadership includes coordinating EU research consortia and examining roles at multiple UK universities. Education: PhD in Instrumentation and Control, University of Manchester MBA, University of Exeter MSc Industrial Chemistry, Ahmadu Bello University PGCE, University of Teesside Diploma in Management Science, University of Manchester Research Focus: Professor Oduoza's interdisciplinary work bridges chemical engineering, manufacturing systems, and industrial sustainability. Primary domains include oil/gas processing (flare gas management, spill remediation), electrochemical engineering (corrosion protection, plating technologies), and risk management frameworks for construction SMEs. His applied research emphasizes process optimization, life cycle assessment, and lean manufacturing principles. Publication Trends: Recent articles demonstrate strong thematic alignment with energy transition challenges—hydrogen combustion modeling, flare gas valorization, and solar cell reliability. Persistent focus areas include sustainable manufacturing systems, risk mitigation in oil/gas operations, and environmental remediation technologies. Methodologies frequently integrate computational modeling, lifecycle analysis, and empirical industrial case studies. Awards & Honors: Fellow, Institution of Chemical Engineers (2006) Senior Fellow, Higher Education Academy (2020) West Midlands Construction Excellence Award (2017) UK Chairman, Society of Chemical Industry Electrochem Group (2006-2010) EPSRC Peer Review College Member (2005-present) Grants & Projects: Secured €1M EU FP7 funding for RiMaCon (risk management software for construction). Currently leading £790K EPSRC FLAREMANAGER consortium for hydrocarbon extraction from flare gas. Coordinated Horizon 2020 bid (€3.74M) for chemical industry process design. Additional funding from Petroleum Trust Development Fund (Nigeria). Academic Leadership: Supervised 30 PhD completions. External examiner for Cranfield, Manchester, and Newcastle universities. Coordinates research teams across European institutions including University of West Bohemia and Imperial College London. Developed ethics case studies for UK engineering curricula.

• Mechanical Engineering
• Renewable Energy
• Fluid Dynamics
• +3 more

Susan Farus-Brown is a Professor at Ohio University's College of Engineering, Department of Mechanical Engineering, with over two decades of research in fluid dynamics, renewable energy systems, and aerospace thermal management. Since 2015, she has published extensively on wind turbine optimization, microchannel cooling, and combustion instability mitigation. Education: PhD in Mechanical Engineering, Stanford University MS in Aerospace Engineering, MIT BS in Mechanical Engineering, Ohio University Research Focus Her work bridges computational fluid dynamics (CFD) with experimental validation, targeting efficiency improvements in wind energy systems and advanced thermal solutions for aerospace applications. Recent projects involve nanofluid-enhanced heat transfer and hybrid solar-wind energy integration. Scientific Awards ASME Fellow (2022) National Renewable Energy Fellowship (2018) Students & Collaborations: Advising 3 PhD candidates, she collaborates with institutions like NASA and NREL. Current research includes cooling systems for hypersonic vehicles and turbulence modeling in microfluidic devices.

Eleni Ekaterini LeligouView profile

Professor

• Computer Networks
• Industrial Web Server Applications
• Blockchain Technology
• +7 more

Professor Eleni Ekaterini Leligou is a full-time faculty member at the University of West Attica , serving in the Department of Industrial Design and Production Engineering since November 2017. Previously, she taught at the Technological Educational Institution of Central Greece (2007–2017) and was a research associate at the National Technical University of Athens (1998–2007). Education Diploma in Electrical and Computer Engineering, National Technical University of Athens (1995) PhD in Electrical and Computer Engineering, National Technical University of Athens (1998–2002) – thesis graded “Excellent” Research Interests Her work lies at the intersection of computer networks, blockchain, Internet of Things, and artificial intelligence with a strong emphasis on industrial and energy-management applications . Specific themes include trust and routing protocols for sensor networks, FPGA-based acceleration of network algorithms, blockchain-enabled network security, IoT solutions for smart energy systems, and federated-learning models for maritime energy optimisation. Teaching Contributions At undergraduate level she delivers core courses on Internet Technology in the Digital Industry, Cloud Computing Engineering and Data Security and Protection . At postgraduate level she contributes to four distinct programmes: Artificial Intelligence and Deep Learning (inter-departmental MSc), Information Systems (Hellenic Open University), Production and Service Automation , and New Technologies in Shipping and Transportation . Publications Overview Her 2024–2025 scholarly output demonstrates an aggressive push toward next-generation networks (6G, LiFi, RIS), blockchain integration in diverse domains (gaming, supply-chain, PLC security), and AI/ML methodologies ranging from federated learning to GAN-based image generation, all applied to industrial, maritime and educational contexts. Laboratory & Teams She conducts her research within the Computational Intelligence and Intelligent Systems Laboratory – EYNES , leading projects that blend networked embedded systems, AI and blockchain technologies.

• Renewable Energy Systems
• Artificial Intelligence
• Electrical Energy and Power Systems
• +1 more

Dr. Oğuz Taşdemir serves as a Lecturer in the Department of Electrical and Electronics Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture since 2025, following his tenure as full-time teaching staff at the university's Kaman Vocational School (2017-2025). His academic foundation includes PhD and MSc degrees in Electrical and Electronics Engineering from Gazi University and Nevşehir Hacı Bektaş Veli University respectively. His educational credentials: PhD in Electrical and Electronics Engineering, Gazi University (2020-2024) MSc in Electrical and Electronics Engineering, Nevşehir Hacı Bektaş Veli University (2017-2020) BSc in Electrical and Electronics Engineering, Kırıkkale University (2009-2010) Taşdemir's research integrates artificial intelligence with renewable energy systems, specializing in photovoltaic/wind power prediction, distributed generation optimization, and electrical facility analysis. His methodology leverages metaheuristic algorithms (JAYA, PSO, ABC) and neural networks to enhance renewable energy forecasting accuracy and power system efficiency, with particular emphasis on environmental factors like PM10 particulates and seasonal variations affecting solar/wind output. His 12 publications (2021-2025) reveal a concentrated research trajectory: 70% focus on AI-driven renewable energy solutions (primarily photovoltaics), 20% on power system optimization, and 10% on electrical control systems. The works demonstrate progressive technical sophistication from foundational microgrid studies (2021) to recent innovations in bifacial PV analysis and hybrid storage optimization (2025), consistently applying computational intelligence to energy challenges. As academic advisor, he has co-supervised two master's theses on photovoltaic forecasting and power system optimization. His research portfolio includes six projects: principal investigator for a TÜBİTAK-funded study on bifacial photovoltaic panels (2025-2027), and researcher roles in five projects addressing PV cooling techniques, hydrogen heating systems, and battery comparisons. His teaching encompasses core electrical engineering courses including Power Transmission, Fault Analysis, and Electromechanical Control Systems.

• Marine Engineering
• Ship Automation
• Ship Machinery Operations
• +5 more

Prof. Fuat ALARÇİN is a Professor at Yildiz Technical University's Naval Architecture and Maritime Faculty, Department of Marine Engineering Operations, where he has been serving since 1998. He has held various leadership positions including Head of Department (2015-2023) and Faculty Board Member. His expertise spans marine engineering, ship automation, and vibration analysis. His educational background includes: Doctorate (1999-2004) from Yildiz Technical University Postgraduate studies (1999-2005) from Yildiz Technical University Undergraduate degree (1992-1996) from Yildiz Technical University's Faculty of Mechanical Engineering Prof. ALARÇİN's research focuses on ship control systems, marine automation, and environmental impact of shipping. His work integrates advanced control methodologies with marine engineering applications, particularly in roll stabilization, shaft vibration control, and emission reduction. He has pioneered applications of fuzzy logic and other advanced control techniques in marine environments, addressing critical challenges in ship safety and efficiency. His publication record shows a strong trend toward addressing environmental concerns in maritime operations, particularly ship emissions and ballast water treatment. He has also maintained a consistent focus on ship motion control and vibration analysis, applying sophisticated control methodologies including fuzzy logic, backstepping control, and LMI-based approaches to solve complex marine engineering problems. Prof. ALARÇİN has supervised 16 theses on diverse topics including ship emission analysis and vibration control systems. His academic leadership extends to serving as Head of Department for multiple terms and as a Faculty Board Member.

• Marine Engineering
• Mechanical Engineering
• Thermodynamics
• +4 more

Hasan Kayhan KAYADELEN is a full-time Professor at Yildiz Technical University's Naval Architecture and Maritime Faculty, Department of Marine Engineering Operations. His career spans naval ship design, thermodynamic analysis, and energy systems optimization. Ph.D. in Thermodynamic Optimization (Gas Turbines) - Yildiz Technical University M.Sc. in Naval Architecture and Marine Engineering - Yildiz Technical University B.Sc. in Civil Engineering & Naval Architecture and Marine Engineering - Yildiz Technical University His research focuses on marine propulsion systems , gas turbine thermoeconomics , and combustion analysis . Recent work emphasizes steam injection , oxy-combustion , and environmental impact evaluations of power cycles. Articles demonstrate expertise in thermodynamic modeling , emission reduction , and energy-environment trade-offs . Notable projects include DOE-funded research at Princeton University on hydrogen fuels for gas turbines and TÜBİTAK-supported thermoeconomic analysis . His work addresses UN Sustainable Development Goals for clean energy and environmental protection.

• Power Electronics
• Renewable Energy Systems
• Electrical Machines
• +3 more

Tomasz Lerch serves as a Lecturer in the Department of Power Electronics and Automation of Energy Conversion Systems at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków. He actively participates in the Discipline Council for Automation, Electronics, Electrical Engineering and Space Technologies. His research spans power electronics, renewable energy integration, and electrical machine design with emphasis on grid stability and power quality. Key interests include grid-tied converter systems, islanding detection methods for distributed generation, permanent magnet motor optimization (particularly transverse flux and cogging machines), and power quality analysis in modern LED lighting and photovoltaic installations. His methodological approach frequently combines electromagnetic modeling with experimental validation. Analysis of his 2021-2025 publications reveals consistent focus on renewable energy grid integration challenges. Dominant themes include rapid voltage fluctuation compensation using hardware-in-the-loop techniques, hybrid islanding detection combining phasor measurement units with artificial intelligence, and thermal/power density optimization in novel motor designs. His work demonstrates strong industry relevance through experimental validation of control algorithms for grid-connected systems.

• Cyber-Physical Systems
• Computer Science
• Robotics
• +4 more

Jaroslav Klapalek is a PreDoc Researcher in the Cyber-Physical Systems department at Vienna University of Technology (TU Wien). His work focuses on formal verification of distributed timed-automata, resilient control mechanisms, and timing anomalies in automotive architectures. He is affiliated with the Embedded Systems Group (E191-01) and has contributed to research on machine learning for industrial predictive maintenance, consensus algorithms, and energy-efficient scheduling. Research Trends: Recent publications highlight expertise in formal verification of real-time constraints, security analysis in industrial CPS, and timing predictability under clock drift and network delays. Key methods include model checking, hybrid system modeling, and safety-critical protocol validation. Scientific Awards:

• Edge AI
• Electronic Design Automation
• Federated Learning
• +3 more

Valentino Peluso is a Fixed-Term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on Edge AI , Electronic Design Automation , Federated Learning , and Low-Power Design , with applications in distributed systems and cyber-physical technologies. Associate Editor at IEEE Transactions on Circuits and Systems II (2025-) Organizer of workshops on smart grids and IoT at IEEE conferences Recipient of Politecnico di Torino's RIMINI SCHOOL 2025 badge for research funding participation His recent work explores homomorphic encryption for secure federated learning, DVFS side-channel attacks in edge inference, and energy-efficient pipeline optimization for embedded systems. Publications span IEEE Transactions, ICECS, ICCD, and VLSI-SoC conferences. Scientific Awards & Roles: RIMINI SCHOOL 2025 Certification Learning to Teach (L2T) badge Editorial contributions to IEEE journals Chair and co-chair roles in hardware/software co-design sessions He contributes to teaching in High-Level Synthesis , Machine Learning for IoT , and Efficient AI Computing at both PhD and MSc levels.

• Roman Law
• Legal History
• Artificial Intelligence and Law
• +3 more

Tewise Yurena Ortega González serves as Assistant Professor in the Department of Basic Legal Sciences at the University of Las Palmas de Gran Canaria, actively contributing to the GIR ECOAQUA research group focused on tourism, land use planning, and environmental sustainability. Her academic profile bridges classical Roman jurisprudence with contemporary legal challenges in technology and social justice. Her research spans Roman Law, Legal History, and the intersection of Artificial Intelligence with legal systems, examining historical continuities in child protection, gender violence, and environmental management. Key interests include algorithmic bias in justice systems, AI ethics in legal education, and the application of ancient Roman administrative strategies to modern environmental crises, particularly water heritage conservation and disaster management. Recent publications reveal a strong thematic trajectory connecting antiquity to digital age challenges, with 15+ publications (2023-2025) exploring AI's role in legal education, cinematic representations of law, and Roman legal frameworks applied to modern issues like flood control and child abandonment. Her work consistently demonstrates interdisciplinary methodology across law, history, and technology studies. Ortega González actively supervises bachelor's theses through structured mentorship, guiding students on topics ranging from Roman marriage practices to modern disability law. Her academic leadership extends to the GIR ECOAQUA research group and Institute of Sustainable Aquaculture Research, where she develops interdisciplinary approaches to environmental law and sustainable resource management.

• Electronic Technology
• Power Electronics
• Spacecraft Power Systems
• +3 more

Ausias Garrigos Sirvent is a Professor at the Miguel Hernández University of Elche, affiliated with the Department of Materials Science, Optics and Electronic Technology. He actively teaches in the Master's in Industrial Engineering and Master's in Telecommunications Engineering programs, coordinating courses like Industrial Electronics and Multidisciplinary Applications in Telecommunications . Education : Not explicitly mentioned in the text. His research focuses on power electronics for space applications, particularly satellite power systems, solar array regulation, and wide-bandgap semiconductor devices (SiC, GaN). He has contributed to advancements in high-voltage power buses, digital twins for spacecraft systems, and analog maximum power point tracking techniques. Recent publications highlight his work on COTS battery equalizers, SiC-based current limiters, and DC transformer integration for spacecraft. He leads the Space Power and Electronic Systems research group, addressing challenges in power conditioning for deep space missions and nanosatellites. Labs & Teams : Research member of Space Power and Electronic Systems .

Erivelton NepomucenoView profile

Associate Professor

• Computer Arithmetic
• Chaotic Cryptography
• Green Computing
• +6 more

Erivelton Nepomuceno is an Associate Professor at Maynooth University's Faculty of Science & Engineering , affiliated with the Hamilton Institute and Centre for Ocean Energy Research . He holds a PhD in Electrical Engineering from UFMG (2005) and has held visiting positions at Imperial College London, Saint Petersburg Electrotechnical University, and City, University of London. Educational Background BEng, UFSJ (2001) PhD, UFMG (2005) Research Interests Computer Arithmetic Chaotic Cryptography Green Computing Ocean Energy Sustainable Circuits and Systems System Identification His recent publications focus on computational chaos, reinforcement learning applications, and sustainable energy systems. His work bridges chaos theory , cybersecurity , and renewables , with a strong emphasis on energy transition and finite-precision arithmetic challenges. Scientific recognitions include Senior Member of IEEE and Chair-Elect of IEEE Technical Committee on Nonlinear Circuits and Systems . He has served as Deputy Editor-in-Chief for multiple IEEE journals and currently holds associate editor roles. Erivelton supervises 5 active PhD students and has advised 7 PhD completions. His funded projects include studies on hybrid wind-wave energy control (€587,975.18), green computing (€3,700), and chaotic system simulation (€7,500). He leads the Hamilton Institute's research group on computational chaos and sustainable systems.

• Networking
• Machine Learning
• Wireless Sensor Networks
• +4 more

S. Boumerdassi is a researcher at the CEDRIC Laboratory of Conservatoire National des Arts et Métiers (CNAM) . He has been actively involved in interdisciplinary research spanning networking , machine learning , image encryption , and IoT systems since the early 2000s. His work has focused on security protocols, energy efficiency in data centers, and anomaly detection frameworks. Key Research Areas: Networking: VANETs, LoRaWAN, network anomalies, and edge computing. Security: Blockchain oracles, cryptographic protocols, and wireless sensor network security. Machine Learning: Applications in network optimization and sustainable agriculture. Image Encryption: Chaotic maps, DCT coefficients, and grain algorithms. Recent Publications highlight his contributions to federated learning, anomaly detection, and mobility models. Leadership and Collaboration He has co-organized conferences like Mobile, Secure, and Programmable Networking and contributed to edited volumes on machine learning and IoT. His collaborations include researchers from Springer, IEEE, and institutions across France, Italy, Spain, and Canada.

Ashwin RaoView profile

Adjunct Professor

• Networking
• Distributed Systems
• Mobile Computing
• +3 more

Ashwin Rao is an Adjunct Professor and Docent in the Department of Computer Science at the University of Helsinki, serving as Supervisor for the Doctoral Programme in Computer Science and Research Coordinator. His work bridges theoretical research with practical implementations in next-generation networked systems. Research Interests: Networking Distributed Systems Mobile Computing Privacy Edge Computing Serverless Computing His research focuses on 5G/6G architectures, edge intelligence, and privacy-preserving mobile systems, with emphasis on real-world applicability and performance optimization in resource-constrained environments. Publication Trends: Analysis of his 15 most recent publications (2020-2024) reveals three dominant trajectories: (1) serverless/database co-design for cloud-native systems, (2) AI-driven network operations and traffic classification, and (3) privacy/security in mobile ecosystems. His work increasingly integrates machine learning with network protocols while addressing critical industry challenges in 6G and edge computing. Scientific Awards: No major scientific awards mentioned in source materials Advising and Grants: Supervised 16 Master's theses including AUTOPS (2025) and Open RAN pipeline analysis (2024) Project lead: 6G Data-driven Distributed Cloud System (Business Finland, 2023-2025) Key participant: NordForsk Tarkoma project (2024-2028) Organizing committee member for ACM Mobisys 2023 Research Ecosystem: Rao operates within Helsinki's networking research group, collaborating with S. Tarkoma and R. Morabito on 6G initiatives. His team focuses on practical implementations of programmable networks, edge intelligence, and privacy-preserving mobile systems through industry-academia partnerships.