Find Academic Supervisors

• Financial Accounting
• Management Accounting
• International Financial Reporting Standards
• +7 more

Félix Puime Guillén is a Professor in the Department of Financial Economics and Accounting at the Faculty of Economics and Business, University of A Coruña (UDC). He teaches multiple courses across various undergraduate and graduate programs including Business Administration, Economics, Fashion Industrial Management, and International Relations. His extensive teaching portfolio encompasses Management Accounting, International Financial Information Standards, and specialized courses related to fashion business management and cooperative project management. Dr. Puime Guillén's research spans Financial Accounting, Management Accounting, Sustainability Economics, Energy Economics, and Fashion Industry Management. His work focuses on developing practical management control models applicable across diverse sectors including fashion, textiles, retail, energy, and maritime industries. He investigates the economic implications of sustainability practices and energy transition strategies, with particular emphasis on their implementation in business contexts through innovative management frameworks. His publication record demonstrates a strong interdisciplinary approach at the intersection of economics, sustainability, and sector-specific applications. Recent work shows increasing focus on marine policy, renewable energy systems, and sustainable business models, with publications in high-impact journals across environmental, energy, and economic domains. His research consistently bridges theoretical frameworks with practical business applications, particularly through the development of tailored management control systems. Dr. Puime Guillén has directed numerous bachelor's and master's theses since 2013, guiding students in developing management control models for fashion companies, textile businesses, supermarket chains, energy projects, and various other commercial enterprises. He has secured multiple research contracts from diverse funding entities including government agencies and private companies across multiple sectors, demonstrating strong research leadership and grant acquisition capabilities. As an active member of the "Materials and renewable energy for engineering, environment and sustainability" research group, he contributes to interdisciplinary projects addressing contemporary economic and environmental challenges through innovative management approaches. His professional profile is maintained through ORCID (0000-0001-7341-9134) and Scopus (56976392700), with regular student consultations held at the University of A Coruña.

Narayan B. MandayamView profile

Professor

• Resilience in Smart Cities
• Prospect Theory in Cyberphysical Systems
• Privacy and Security for IoT
• +6 more

Narayan B. Mandayam is a Professor and Director of the Wireless Information Network Laboratory (WINLAB) at Rutgers University's Department of Electrical and Computer Engineering. He previously served as Chair of the department from 2016 to 2022. His research focuses on smart city resilience, IoT security, energy-efficient systems, and game-theoretic models for cyber-physical systems. Located in the Computing Research & Education Building (CoRE), he leads interdisciplinary projects addressing societal challenges in communication networks and infrastructure security. Education : B.Tech. (Hons) Electrical Engineering, Indian Institute of Technology, Kharagpur (1989) M.S. and Ph.D. Electrical Engineering, Rice University, Houston TX (1991–1994) Research Interests include: Prospect Theory applications in cloud security and smart grids Noncontiguous spectrum access and software-defined networks Modeling social knowledge creation on the internet Visual MIMO networks and metamaterial-based security His work bridges economics, machine learning, and wireless systems, with recent emphasis on 6G and IoT resilience. Key Awards : 2015 IEEE Communications Society Advances in Communications Award 2014 IEEE Donald G. Fink Award 2009 IEEE Fred W. Ellersick Prize 2018 Indian Institute of Technology Distinguished Alumnus Award His research outputs span 5G/6G innovations, security protocols using metamaterials, and game-theoretic models for adversarial scenarios. Current trends include leveraging AI for network optimization and mitigating radio interference impacts on weather forecasting. Lab & Leadership : As WINLAB Director, he oversees cutting-edge projects in wireless systems, collaborating with industry and government entities. His teams develop solutions for smart grid resilience, autonomous vehicle security, and federated learning incentivization.

• Network Security
• Artificial Intelligence
• Cybersecurity
• +12 more

Guiomar Corral Torruella is an Associate Professor in the Engineering Department at La Salle Digital Engineering School, Ramon Llull University. She is an active researcher in the Research Group on Smart Society, contributing to numerous national and European research projects. Her research interests span Network Security, Artificial Intelligence, Cybersecurity, Smart Grids, IoT, and Unsupervised Learning . She applies these in the context of smart cities and critical infrastructure protection. Her recent publications highlight work in cybersecurity education for IoT, secure smart grid architectures, and advanced clustering techniques. These reflect a consistent focus on security, intelligence, and integration in digital and energy systems . Selected research projects include: REWIRE : Cybersecurity Skills Alliance - A New Vision for Europe (European Commission, 2020–2024) NG-SOC : Next Generation Security Operation Centres (2024–2026) EcoSentinel : Ecological Sentinel (2024–2027) BTL-COP : Building Trust and Leadership in Police Communities of Practice (2025–2028) Research Group on Smart Society (AGAUR, 2022–2025) She has published in journals such as Sensors and Energies , with a focus on applied solutions in cybersecurity and smart infrastructure. She has an h-index of 8 and over 161 citations. She is actively involved in research advising and collaborative innovation, with no indication of retirement or former status. Her work continues to evolve in the domains of AI-driven security and smart society technologies.

Catarina Ferreira da SilvaView profile

Associate Professor

• Information Systems
• Blockchain and Distributed Ledger Technologies
• Semantic Web
• +11 more

Catarina Ferreira da Silva is an Associate Professor with Habilitation in Information Science and Technology at the Department of Information Science and Technology, School of Technologies and Architecture (ISTA), ISCTE – University Institute of Lisbon. She serves as Director of ISTAR-Iscte, the Research Center for Information Sciences, Technologies, and Architecture, and previously led the Master’s program in Information Systems Management. Her international research affiliations include former roles at the University of Lyon 1 and CNRS-LIRIS in France, and CISUC at the University of Coimbra. PhD in Informatics, University Claude Bernard Lyon 1 (2007) Agregação (Habilitation) in Information Science and Technology, ISCTE (2020) MSc in Informatics – Information Systems, INSA Lyon (2003) Bachelor in Engineering, University of Aveiro (1999) Her research centers on Information Systems , with a focus on blockchain, distributed ledger technologies, semantic web, and interoperability . She explores how ontologies and service-oriented architectures can enable smarter, more connected systems in domains such as smart cities, IoT, and digital twins. Her work bridges technical innovation with real-world applications in sustainability, energy, and public health. Her recent publications reveal a strong trend toward blockchain-enabled digital twins , smart city solutions , and AI-driven urban analytics . She integrates machine learning with semantic technologies to solve challenges in energy management, air quality monitoring, and pandemic modeling. Her work increasingly emphasizes user empowerment and data sovereignty through decentralized architectures. Doctoral and Research Supervision Bonus (French National Council of Universities), 2014–2018 and 2019–2022 Research Quality Prize, University of Lyon 1, 2013 Member, European Blockchain Observatory and Forum (since 2020) Catarina has co-supervised multiple PhD students and leads significant EU-funded research projects, including InCITIES (HORIZON Europe) , BLISS , and VET4APPS , all recognized for innovation and impact. Her work involves extensive collaboration with international teams and institutions. She is a key contributor to the development of ontologies for blockchain applications and semantic interoperability in distributed systems. She leads the Information Systems research group at ISTAR-Iscte and has been a member of the Service-Oriented Computing team at CNRS-LIRIS and the CISUC research center . Her lab activities focus on developing frameworks for cloud-based applications, semantic data integration, and blockchain-based identity and trust systems.

• Engineering Graphics
• Building Information Modeling (BIM)
• Energy Efficiency
• +7 more

María Isabel Fernández Ibáñez is a Professor in the Department of Industrial Engineering at the Ferrol Engineering Polytechnic School, University of A Coruña (UDC), Spain. Her academic work spans teaching and research in engineering graphics, Building Information Modeling (BIM), sustainable design, and energy efficiency. She teaches core and optional courses across undergraduate and master’s programs, including Engineering Drawing, BIM Methodology, and Furniture and Space, in disciplines such as Electrical Engineering, Automation, and Industrial Design. Her research interests focus on engineering education innovation , sustainable building design , and application of BIM tools for energy performance analysis. She is a member of the Ciencia y Técnica Cibernética research group and has contributed extensively to interdisciplinary projects integrating design, simulation, and sustainability. Her recent work explores photorealistic lighting simulation, energy demand in buildings, and modular housing using shipping containers. The 15 most recent publications reflect a strong trend in applied engineering education and energy-efficient building technologies . Keywords across these works include engineering education, BIM, sustainability, and simulation, with sub-fields such as passive design, LED lighting, curriculum innovation, and radiological protection. Her collaborative research often involves energy analysis, pedagogical transformation, and environmental impact assessment. She has directed multiple final-year projects and master’s theses, particularly on BIM applications and lighting design, although specific student names are not listed. She has participated in numerous R&D projects funded by entities such as the European Commission, FECYT, and regional Galician agencies, indicating strong grant acquisition and collaborative research capabilities. She is actively involved in academic tutoring and curriculum development, with regular office hours scheduled via TEAMS and in-person at the Batallones building. Her work supports sustainable practices in higher education and industrial design, contributing to both academic and societal advancement.

• Smart Grid Security
• Privacy-Preserving Techniques
• Federated Learning
• +5 more

Mohamed I. Ibrahem is an active academic researcher specializing in cybersecurity applications for smart grid infrastructure and Internet of Things systems. His work bridges computer science, electrical engineering, and artificial intelligence with a particular focus on privacy-preserving techniques and secure machine learning applications. Dr. Ibrahem's research interests center on smart grid security , where he has developed innovative approaches for electricity theft detection, false data injection prevention, and privacy-preserving monitoring systems. His work in federated learning security addresses critical vulnerabilities in distributed machine learning systems, particularly against Trojan attacks and evasion techniques. Additional research areas include explainable AI applications in healthcare diagnostics, IoT security mechanisms, and deep learning optimization for resource-constrained environments. His recent publication trends reveal a growing emphasis on practical security implementations for real-world energy infrastructure, with increasing attention to explainability and robustness in AI-driven security systems. The interdisciplinary nature of his work connects cybersecurity principles with specific domain challenges in power systems and healthcare applications. Dr. Ibrahem has secured research funding for multiple projects focused on smart grid protection systems and privacy-preserving machine learning frameworks, though specific grant details are not visible in the publication metadata. His collaborative research network spans multiple international institutions with strong connections to Middle Eastern universities.

• Machine Learning
• Prediction
• Data Analysis and Visualization
• +7 more

Eugenio Francisco Sánchez Úbeda is an Associate Professor at the College of Engineering, Comillas Pontifical University, and a researcher at the Technological Research Institute (IIT). He has been affiliated with the institution since 1991 and teaches Statistics, Machine Learning, and Data Analysis at ICAI. His academic and research work spans energy systems, healthcare analytics, and machine learning applications. Education: PhD in Industrial Engineering, Comillas Pontifical University, 1999 Degree in Industrial Engineering (Electronics), Comillas Pontifical University, 1991 His research interests include Machine Learning, Prediction, Data Analysis and Visualization, Nonlinear Statistical Models, and Deep Learning, with a strong focus on energy demand forecasting and probabilistic modeling. He has led numerous research projects in collaboration with major European companies such as Endesa, Enel, and Airbus. Recent publications highlight his work in energy efficiency, healthcare monitoring using wearable devices, microgrid optimization, and pandemic-related energy demand shifts. His research integrates advanced machine learning techniques with real-world applications in energy and public health. Scientific Awards and Recognition: Director of work awarded 'Premio Iberdrola al mejor Trabajo Fin de Master 2020-21' Director of work awarded 'Premio Management Solutions al mejor Proyecto Fin de Carrera 2017-18' He has advised multiple PhD students and serves on thesis committees. He is also an active reviewer for journals such as Energy Economics and Energy . His leadership extends to organizing scientific workshops like the JOSITE series and contributing to funded research projects including those under Horizon 2020 and the Inter-American Development Bank. He has delivered invited seminars on data mining, genetic algorithms, and MATLAB visualization at Comillas and other institutions, and has participated in over 100 research projects in energy and data science.

• Energy Systems
• Electricity Market Regulation
• Power System Stability
• +7 more

Dr. José Luis Sancha Gonzalo is a Visiting Researcher at the Institute for Research in Technology (IIT), affiliated with the School of Engineering at Comillas Pontifical University. His research focuses on energy systems modeling and policy analysis, particularly in the context of the Spanish electricity market and regulatory frameworks. Electrical Engineer, ICAI School of Engineering PhD in Industrial Engineering, Polytechnic University of Madrid His research interests include electricity market regulation, power system stability, selective modal analysis, energy policy, self-consumption, and energy pricing. He is a recognized expert on topics such as the gas price cap, PVPC pricing, and the Iberian energy exception. His recent publications reveal a strong focus on contemporary energy policy challenges, particularly the economic and regulatory impacts of the gas price cap in Spain and Portugal. Earlier works emphasize power system dynamics, stability analysis using selective modal techniques, and voltage control strategies. His research bridges engineering fundamentals with economic and policy dimensions of energy systems. IEEE Senior Member CIGRE Distinguished Member Dr. Sancha has maintained continuous teaching activity at institutions including ICAI, the Spanish Energy Club, ISE, and EOI. He has led training courses on electricity billing and market dynamics. His advisory role is evident through his participation in technical reports and policy discussions, though formal PhD advisees are not listed. He has contributed to major collaborative projects, including long-term network planning models. He is actively involved in public discourse, frequently appearing in media and organizing seminars on energy transition, consumer perspectives, and electricity billing. His work with the National Association of ICAI Engineers and other entities highlights his engagement with professional engineering communities and public education.

Clemens JauchView profile

Professor

• Wind Energy
• Power Systems
• Renewable Energy
• +3 more

Prof. Dr. Clemens Jauch is a faculty member at Flensburg University of Applied Sciences, specializing in Wind Engineering within the Department of Energy and Biotechnology. His work focuses on wind turbine systems, dynamic control, and grid integration. Contact: clemens.jauch@hs-flensburg.de . Research interests include Wind turbine modeling and optimization Power system stabilization with renewable energy Dynamic stall effects in wind turbines Grid frequency control via pitch angle regulators His publications highlight expertise in transient fault dynamics, wind turbine control systems, and international grid requirements. Key methods involve simulation models and fuzzy logic algorithms for renewable energy integration.

• Cognitive Radio Sensor Networks
• Energy Management Systems
• Machine Learning
• +3 more

Sadiq Ahmad is a researcher with significant contributions to energy systems, wireless networks, and machine learning applications. Active in top venues like IEEE Access and IEEE Communications Surveys & Tutorials , his work spans from 2015 to 2025. Research Interests: Focus on Radio resource allocation in cognitive radio sensor networks (2015) Smart energy management in microgrids (2020–2025) Visual saliency in video quality assessment (2025) Optimization algorithms for power systems (2021) Collaborations: Frequently co-authors with Ayaz Ahmad Muhammad Naeem Mubashir Husain Rehmani Shahid Iqbal on interdisciplinary projects involving electrical engineering and AI.

Seref SagirogluView profile

Professor

• Information Security
• Big Data Analytics
• Cyber Security
• +7 more

Professor Seref Sagiroglu is a distinguished academic at Gazi University's Department of Computer Engineering, where he serves as a Professor in Software Engineering. With an extensive career spanning several decades, he has established himself as a leading expert in information security, big data analytics, and cyber security, with an h-index of 29, i10-index of 65, and over 3300 citations. His educational background includes: Undergraduate degree in Electronics Engineering from Erciyes University (1987) Doctoral studies completed at University of Wales College of Cardiff (now Cardiff University) (1994) Prof. Sagiroglu's research spans multiple cutting-edge domains with significant practical applications. He has pioneered work in information security systems, big data analytics for smart infrastructure, cyber defense mechanisms, and biometric authentication technologies. His research bridges theoretical foundations with real-world implementations, particularly in national security contexts and critical infrastructure protection. His work on open data initiatives and cyber terrorism prevention has gained international recognition through numerous conferences he has organized. Professional leadership and recognition: Founding member of Information Security Association (BGD), Turkish Science Research Foundation (TÜBAV), and Foundation of the People Caring for the Future (GÖNDER) Active member of IEEE, ISACA, and TBD professional organizations President of IPv6 Council Turkey and member of IEEE Biometric Task Force Editor of International Journal of Information Security Science and International Journal of Information Security Engineering Research funding and project leadership: Principal investigator for TUBITAK-funded national research projects Coordinator of European Union collaborative research initiatives Industry partnerships with multiple technology sectors University BAP Unit projects focused on cyber security applications He directs the Big Data Center at Gazi University (www.bigdatacenter.gazi.edu.tr) and has organized over 50 international conferences including the International Conference on Information Security and Cryptology and IEEE International Conference on Computer Science and Engineering. His laboratory initiatives focus on practical applications of big data analytics for security and smart grid systems.

• Power System Security Assessment
• Sustainable Energy System Modeling
• Artificial Intelligence
• +3 more

Dr. Guo Chen is a Scientia Associate Professor at the School of Electrical Engineering and Telecommunications , University of New South Wales (UNSW Sydney) , Australia. His research focuses on smart grid security, power system optimization, and AI applications in energy networks. Power system security assessment Sustainable energy modeling Cyber-physical system design Optimization and control algorithms Smart grid implementation He has published over 110 high-quality papers and serves as an Editor of IEEE Transactions on Smart Grid . His work addresses cybersecurity threats, distributed optimization, and renewable energy integration in grid systems. Recent Research Trends: His 2025-2024 publications emphasize Byzantine-resilient decentralized optimization , EV charging security , blockchain-enabled grid protection , and AI-driven state estimation . Key subfields include stochastic composite optimization , multi-industrial micro-grid trading , and nonasymptotic convergence analysis . Contact: Email: guo.chen@unsw.edu.au

Chistyakov Gennady NikolaevichView profile

Associate Professor

• Electrical Engineering
• Power Systems
• Renewable Energy
• +4 more

Gennady Nikolaevich Chistyakov is an Associate Professor at the Department of Electric Power Engineering, Mechanical Engineering and Automobile Transport at Khakassian Technical Institute (branch of Siberian Federal University). With over 42 years of work experience, he teaches subjects including electromagnetic compatibility, relay protection, and mathematical problems of energy. His research focuses on power systems, with emphasis on renewable energy integration, geomagnetic storm impacts, and transient analysis. Recent publications highlight solar power optimization and protection device reliability. 2021: Small solar power plant analysis for Khakassia 2019: Relay protection during geomagnetic storms 2018: Overvoltage pulse experiments Scientific Awards: 2015: KhTI Diploma 2015: Ministry of Education and Science of Khakassia Certificate 2007: Russian Federation Honorary Worker of Higher Professional Education He has led multiple RFBR and Khakassia Republic grants (2013-2016) on power quality optimization and reliability. Advanced training includes e-learning technologies, cloud systems, and inclusive education.

Emilio RaiteriView profile

Assistant Professor

• Economics of Innovation
• Intellectual Property
• Technology Policy Evaluation
• +2 more

Emilio Raiteri serves as Assistant Professor at Eindhoven University of Technology (TU/e) within the Department of Industrial Engineering and Innovation Sciences, specifically affiliated with the Technology, Innovation & Society research group. His academic journey includes a PhD in Economics from the University of Turin (2015), where he was associated with the Bureau of Research on Innovation, Complexity and Knowledge (BRICK), followed by a postdoctoral fellowship at EPFL, Switzerland (2015-2018). His research focuses on the economics of innovation , intellectual property systems , and technology policy evaluation , with particular emphasis on standardization dynamics, patent disclosure mechanisms, and government's role in knowledge creation. Current educational activities include teaching courses on Intellectual Property Rights for New Ventures, Economic Policy, Patents Design Rights & Standards Project, and Statistics for Sustainable Innovation. Analysis of his recent publications reveals strong methodological rigor in quantitative innovation studies , frequently employing patent data and policy natural experiments. His work demonstrates growing influence in standard-essential patent research and public procurement of innovation , with increasing collaboration intensity across European institutions. Notable trends include sophisticated causal inference approaches to evaluate policy impacts on knowledge diffusion and standardization processes. Raiteri actively contributes to major conferences including the International Joseph A. Schumpeter Society conference (ISS2024) and the Geography of Innovation Conference (GEOINNO 2024). His research has secured support from entities like the EuroTech Universities Alliance and European Union Marie Skłodowska-Curie programs, though direct grant leadership isn't explicitly documented. He operates within TU/e's Technology, Innovation & Society group, which specializes in socio-technical innovation analysis and policy evaluation through interdisciplinary approaches combining economics, sociology, and engineering perspectives.

• Graph Theory Applications
• Smart City Energy Management
• Public Lighting Optimization
• +2 more

Adam Sędziwy is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków, Poland. His research focuses on graph-based computational methods for energy conservation in smart city infrastructure, particularly public lighting systems optimization. He maintains an active office in building C-2, room 427, and serves on the Disciplinary Council for Technical Information Technology and Telecommunications. His research expertise centers on: Graph theory applications in urban infrastructure design Energy efficiency optimization for street lighting networks Multi-agent systems for distributed lighting control Computational sustainability balancing light pollution, energy savings, and visibility Reactive power management in large-scale electrical lighting systems Analysis of his 2017-2023 publications reveals a concentrated research trajectory applying graph-based optimization and multi-agent frameworks to public lighting retrofit projects. His work consistently addresses the triad of environmental impact (light pollution reduction), economic efficiency (energy/cost savings), and operational safety across diverse contexts from rural roads to urban smart cities. Methodologically, he integrates computational graph transformations with real-world lighting physics to develop novel control algorithms. Scientific Awards: No awards documented in available sources Advising and Grants: Student supervision details not publicly available Grant funding information not specified in source materials Laboratory Affiliations: Dr. Sędziwy's computational research is conducted within AGH's Department of Applied Informatics, leveraging graph-based knowledge representation frameworks. His publications indicate collaboration with teams specializing in distributed computing for lighting design, though specific lab names are not disclosed in the source text.