George Pallis is a Professor in the Department of Informatics at the University of Cyprus, affiliated with the School of Science. He holds a BSc and PhD from Aristotle University of Thessaloniki. His research focuses on Distributed and Network Computing, Big Data Analytics, and Cloud/Edge/Fog Computing. He leads the Master's Program in Data Science and has secured over €5.5M in research funding from the EU, Cyprus, and industry partners like Google. Education: BSc (2001), PhD (2006) from Aristotle University of Thessaloniki. Research Interests include Internet technologies, large-scale network environments, and cloud computing. He has published over 100 articles in top-tier journals and conferences (e.g., IEEE TKDE, ACM TOIT, WWW, ICDCS) and contributed to international standards (DIN, CEN). His work spans topics like fake news detection, edge computing frameworks, and energy-efficient micro-data centers. Key Achievements: Editor-in-Chief Emeritus of IEEE Internet Computing, recipient of multiple best paper awards, and contributor to projects like RAINBOW (H2020), UNICORN, and ICARUS. His research explores cutting-edge areas such as LLM manipulation, polarization detection, and carbon-aware computing. He has supervised five PhD students and served as General Chair for IEEE/ACM SEC 2024 and IEEE IC2E 2024. His work bridges academia and industry through collaborations on AI, IoT, and sustainable computing.
Prof. Dr. Thomas Grätsch is a faculty member at Hamburg University of Applied Sciences within the Faculty of Technology and Computer Science, specifically in the Department of Mechanical Engineering and Production. His office is located in Room 226e at Berliner Tor 21, 20099 Hamburg, with contact number +49 40 428 75-8705. Prof. Grätsch specializes in computational mechanics with a focus on the Finite Element Method (FEM) and its applications in vibroacoustics. His research particularly addresses noise emission from wind turbines, structural vibration analysis, and mechanical system simulations. He has developed sophisticated models for predicting and reducing tonal noise in wind energy systems, with emphasis on gearbox vibrations and acoustic radiation from large structures. His publication record shows a consistent research trajectory focused on wind turbine noise simulation, with recent work (2018-2022) concentrating on hybrid multistep procedures, large-scale finite element modeling, and practical applications for noise reduction in wind energy systems. His work bridges theoretical computational methods with practical engineering applications in renewable energy technology. Prof. Grätsch holds several administrative roles including Program Coordinator for the Master's program 'Calculation and Simulation in Mechanical Engineering', Spokesperson for the Mechanics Group, Member of the Department Council for Mechanical Engineering and Production, and Deputy Member of the Confidence Committee of the Faculty of Technology and Computer Science. He is also a Member of the Editorial Board of Computers & Structures. His research projects focus on vibroacoustics, particularly addressing noise emission from wind turbines through computational simulation and structural analysis. His work has practical implications for the wind energy industry seeking to reduce environmental noise pollution while maintaining energy production efficiency.
Dr. Anoop Singh is a Professor at the Department of Management Sciences, Indian Institute of Technology Kanpur (IITK). His work focuses on Power Sector Regulation , Renewable Energy Policy , and Energy Economics , with significant contributions to energy pricing , climate policy modeling , and cross-border energy cooperation . He founded the Centre for Energy Regulation (CER) and Energy Analytics Lab (EAL) at IITK. His research interests span power sector reforms, regulatory governance, energy pricing, renewable energy integration, project financing, and climate policy modeling. He has led initiatives in smart grid development , minigrid economics , and energy analytics , often contextualized within India's energy transition. Key Publications : 15+ works on electricity market reforms, renewable policy, and regulatory frameworks Projects : ADB-funded regional power exchange studies Scientific Awards include: Amity Academic Excellence Award (2013) Best Business Model Award, Asia Clean Energy Forum (2010) UNU/IAS and ADB Institute fellowships He served on the Planning Commission's Working Group on Power for the 11th and 12th Five-Year Plans and actively participates in global regulatory dialogues . His students and mentees engage in energy policy research with applications to sustainable development and infrastructure finance .
Matti Liski is a Professor of Economics at Aalto University School of Business, with affiliations at MIT-CEEPR, University of Cambridge EPRG, CESifo Munich, and former visiting professorship at Toulouse School of Economics. His work bridges theoretical and empirical microeconomics with applications in industrial organization, public policy, energy markets, and climate change. He has served on editorial boards of Scandinavian Journal of Economics and Journal of European Economic Association , and is recognized for excellence in teaching (2009, 2023) and refereeing (2015). Research trends from his recent publications highlight electricity market design, climate policy conflicts between EU and national frameworks, redistribution mechanisms via energy efficiency mandates, and empirical analyses of renewable energy's market impacts. His work combines game theory, resource economics, and policy evaluation to address market power, sustainability transitions, and climate strategies. Awards : Teacher of the Year (Helsinki School of Economics, 2009; Aalto University, 2023) Best Paper Award (2016, Journal of Environmental Economics and Management) Excellence in Refereeing (2015, Journal of the European Economic Association)
Dr. Mohamed Djemai is a Full Professor at École Nationale Supérieure de l'Électronique et de ses Applications (ENSEA), Cergy, and INSA Hauts-de-France. He is affiliated with the Quartz Laboratory (EA 7393) and LAMIH UMR CNRS 8201 at University Polytechnic Hauts-de-France. His research focuses on nonlinear control systems theory, with emphasis on hybrid and variable structure systems, sliding mode approaches, fault detection, and applications to power systems, robotics, and vehicle dynamics. IEEE Senior Member Associate Editor for Nonlinear Analysis: Hybrid Systems Co-Facilitator of National Working Group GT-SDH (2014–present) Member of IFAC-TC-1.3 (Discrete Event and Hybrid Systems) since 2001 Member of IFAC-TC-2.1 (Control Design) since 2005 His recent publications address fractional-order control of multiagent systems, stability analysis on time scales, fault-tolerant satellite attitude control, and robust consensus algorithms for nonlinear systems. Key methodologies include sliding mode control, event-triggered control, and observer-based fault detection. Current teaching activities encompass diagnostics, linear systems, signal processing, and sensor conditioning. The trend in Dr. Djemai's research since 2022 involves advanced control strategies for cyber-physical systems, distributed fault detection mechanisms, and time scale theory applications to intermittent communication problems. Notable collaborations include work with Michael Defoort, Stefano Di Gennaro, and international institutions like Kyungpook National University and University of Reims. Scientific contributions include: IEEE Senior Member recognition Development of robust exact filtering differentiators Innovations in fixed-time consensus protocols Leadership in IFAC technical committees Editorial role in hybrid systems analysis His laboratory work at Quartz and LAMIH supports applications in aerospace systems, renewable energy conversion, and industrial risk management architectures.
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.
Prof. Dr.-Ing. Thomas Stetz is a Professor for Electrical Power Engineering at the Technical University of Mittelhessen (Gießen, Germany), specializing in Smart Grids and Energy Storage . He is a Scientific Director of the Institute for Transformation Tasks in Energy Economics and Energy Technology (ITEE) and Project Group Leader at TransMIT GmbH, Gießen. PhD in Electrical Power Engineering (University of Kassel, 2013) Former Research Group Leader at Fraunhofer IWES (Kassel, Germany) His research focuses on technical and economic aspects of voltage control , grid integration of photovoltaics , and smart grid technologies . He has led international projects with partners like the University of Costa Rica and Ingolstadt University of Applied Sciences, funded by BMBF , BMWi , and DFG . Key article trends include reactive power optimization , automated grid planning , and storage system integration for renewable-heavy grids. His scientific awards highlight his contributions to global PV grid integration research. Best Presentation Award (CIER 2017, Havana) Science Award (German Chamber of Industry and Commerce Kassel, 2014) Prof. Stetz supervises PhD and undergraduate students and contributes to industry-standard guidelines through collaborations with Stadtwerke Gießen AG and Bayernwerk. His work bridges technical innovation and policy development for the energy transition.
Hakan Ergun serves as an Associate Professor at KU Leuven's Faculty of Engineering Science within the Department of Electrical Engineering (ESAT). He leads the Subdivisie EnergyVille Electa - Ergun and holds key roles in EnergyVille initiatives, including membership in the Division EnergyVille and the Council of the Faculty of Engineering Science. His research focuses on power systems engineering with specialization in HVDC grid technology, renewable energy integration, and stochastic optimization. Current projects include predictive maintenance for wind farms, congestion management for offshore HVDC grids, and development of hybrid AC/DC grid software tools. His work addresses critical challenges in grid resilience, uncertainty modeling, and multi-national offshore grid coordination. Recent publications demonstrate strong trends in hybrid AC/DC grid optimization under uncertainty, with emphasis on stochastic programming, polynomial chaos expansion, and risk-based operational models. Key themes include offshore grid protection, frequency stability with energy storage, and spatio-temporal variability in power system planning. Ergun actively supervises doctoral candidates including K. Phillips and C.K. Jat. His research portfolio includes significant EU-funded projects such as CROCODILE (Cross-border Coordination of Offshore Grids) and advanced HVDC grid development initiatives with multi-year funding through 2028-2029. He directs the EnergyVille Electa subdivision focused on electrical energy systems applications, collaborating with industry partners on real-world grid implementation challenges. Current work emphasizes practical solutions for multi-GW offshore energy hubs and resilient power systems leveraging HVDC transmission flexibility.
Andrea Tuni serves as an Associate Professor at Politecnico di Torino, Italy, within the Department of Management and Production Engineering (DIGEP), specializing in the scientific disciplinary sector IIND-05/A - Mechanical Industrial Systems (Area 0009 - Industrial and Information Engineering). His academic career includes previous research positions at the University of Strathclyde from 2018-2022. Dr. Tuni's research program centers on circular and sustainable supply chain management, employing both qualitative and quantitative methodologies to address complex sustainability challenges across multiple industries. His work spans circular business models, supply chain design, reverse logistics, performance measurement systems, textile supply chains, and food distribution logistics, with particular expertise in assessing social and environmental sustainability across multi-tier supply chains. He has developed specialized knowledge in applications for smallholder farmers in developing countries and textile industry sustainability. His publication portfolio demonstrates consistent scholarly output with a clear thematic focus on circular economy applications. Recent research examines digital product passports in textile supply chains, risk assessment in circular business models, social sustainability assessment methodologies, circular economy applications in renewable energy sectors, and eco-intensity based environmental assessment methods. His work frequently appears in high-impact journals including Journal of Cleaner Production, Business Strategy and the Environment, and Waste Management. EURO Prize for OR for the Common Good (2022) from EURO - The Association of European Operational Research Societies Dr. Tuni maintains an active teaching portfolio across multiple academic levels at Politecnico di Torino, supervising PhD candidate Stefano Richeri whose research focuses on social and sustainable procurement practices. His research intersects with multiple UN Sustainable Development Goals, particularly Goals 1 (No Poverty), 2 (Zero Hunger), 9 (Industry Innovation), 10 (Reduced Inequalities), and 12 (Responsible Consumption).
Jeremy Pruvost is a Professor at Polytech Nantes (University of Nantes) within the Department of Process and Bioprocess Engineering . He directs the GEPEA UMR-CNRS 6144 laboratory and the AlgoSolis UMS-CNRS 3722 platform. His research focuses on microalgae bioprocess engineering , particularly photobioreactor design, CO2 valorization, and sustainable algal biomass production for biofuels and environmental applications. Director, GEPEA UMR-CNRS 6144 (2018–present) Director, UMS AlgoSolis (2015–2019) Co-Chair, ESBES 'Microalgae Bioengineering' (2020–2020) Associate Editor, Algal Research (2019–present) Research Interests : Jeremy Pruvost specializes in photobioreactor engineering , microalgae biotechnology , and sustainable biomass production . His work addresses: Physical-biological interactions in photobioreactors Modeling for photobioreactor design and control Industrial ecology applications to microalgae Thermal regulation in extreme environments CO2 biofixation and biorefinery concepts Article Trends : His publications (over 90 peer-reviewed journals) emphasize algal bioprocess optimization , photobioreactor thermal management , and desert cultivation systems . Key contributions include modeling light-temperature interactions, developing CO2 supply strategies, and integrating photobioreactors into building facades. Education & Administration : He earned his PhD at University of Nantes (2000) and obtained Habilitation à Diriger des Recherches (2005). He has created multiple educational programs including an International Master in Microalgae Bioprocess Engineering (2017–2019) and teaching units on photobioreactors and computational fluid dynamics. Labs & Collaborations : He leads the Bioprocesses Applied to Microalgae team (2011–2018) at GEPEA, a 225-person laboratory. His research involves international collaborations through European Algal Biomass Association and EERA (European Energy Research Alliance).
Ioannis Zografopoulos is an Assistant Professor in the Engineering Department at the College of Science and Mathematics, University of Massachusetts Boston. He leads the Infrastructure Cybersecurity and Resilience Laboratory (ICARUS), focusing on cybersecurity for critical energy infrastructure. Ph.D., Electrical and Computer Engineering, KAUST (2023) M.Sc., Electrical and Computer Engineering, University of Thessaly (2015) B.Eng. and M.Eng., Computer, Communications, & Network Engineering, University of Thessaly (2014) His research spans cyber-physical systems security, embedded systems for distributed energy resources, and real-time simulation for grid resilience. Recent work includes securing 6G-enabled smart grids and firmware attack detection in microgrids. Key publication keywords: Power Systems, Cybersecurity, IoT Security, Renewable Energy Integration, Industrial Control Systems. Subfields include grid resilience, firmware attacks, hardware-assisted detection, and behind-the-meter DERs. Scientific Awards: IEEE Senior Member (2025) Outstanding Reviewer, IEEE Open Access Journal of Power and Energy (2025) 1st Place - CSAW-HMR (2022) Black Hat USA Scholarship (2022) Zografopoulos mentors students in the Alfred P. Sloan Foundation's IDS Student Fellows Program and contributes to IEEE standards and technical reports.
Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.
Professor Yasuhiro Hayashi is a distinguished academic at Waseda University's School of Advanced Science and Engineering, where he serves as Professor in the Faculty of Science and Engineering and Director of the Smart Society Technology Integration Research Institute (ACROSS). He holds leadership positions including Vice President of the Institute of Electrical Engineers of Japan (since 2025.06) and Chair of the Utsunomiya Zero Carbon Promotion Council (since 2023.02). His educational background includes a Ph.D. from Waseda University (1993), following undergraduate and graduate studies at the same institution. Prior academic appointments include Associate Professor at University of Fukui (2000-2009) and Lecturer at Ibaraki University (1997-2000). Professor Hayashi's research focuses on energy management systems, power engineering, and renewable energy integration. His work spans critical areas including optimization of advanced electrical energy systems, cooperative operation and control of distributed generation, photovoltaic systems integration, CO2 emissions reduction, and climate change mitigation. He has made significant contributions to smart grid technology, demand-side management, and zero-carbon transition initiatives, with particular emphasis on practical implementation through smart meter data analysis and real-world demonstration projects. His publication record is extensive, with 365 papers according to Scopus (citation count: 3,423, h-index: 27) and even more according to Google Scholar (citation count: 12,332, h-index: 51, i10-index: 253). His recent work demonstrates strong focus on practical applications of smart meter data for urban carbon intensity analysis, electric transportation integration, and advanced control strategies for distributed energy resources in real distribution networks. Best Paper Award from Big Earth Data Journal (2024) Best Paper Award for 'Development of Evaluation Process for Demand-Side Resilience against Power Outage' (2023) The Commendation for Science and Technology by the Minister of Education (2019) Multiple Waseda Research Awards (2014-2019) Distinguished Paper Award from the IEE of Japan (2008) Professor Hayashi serves on numerous high-impact committees including as Special Commissioner of the Electricity and Gas Trading Surveillance Commission under METI, Chair of the Energy-Resource-Aggregation-Business-Forum at ACROSS, and leadership roles in developing Japan's smart grid standards and distributed energy resource policies. His work bridges academic research with practical policy implementation in Japan's energy transition, with recent focus on sector coupling between transportation and energy systems, advanced data analytics for grid operations, and practical implementation strategies for achieving Net Zero emissions in urban environments.
Professor Fred Asiegbu is a distinguished researcher and educator in forest pathology at the University of Helsinki. He holds the position of Professor of Forest Pathology in the Department of Forest Sciences, with additional affiliations at the Institute of Sustainability Science (HELSUS) and Viikki Plant Science Centre (ViPS). Professor Asiegbu also serves as an invited Professor at Nanjing Forestry University in China and supervises doctoral students across three Doctoral Programmes: Integrative Life Science, Plant Sciences, and Sustainable Use of Renewable Natural Resources. Professor Asiegbu's educational foundation includes: PhD in Biotechnology (1988-1991, awarded 1992) MSc in Applied Microbiology & Plant Pathology (1984-1985, awarded 1986) BSc in Botany (1979-1983, awarded 1983) His research program addresses critical challenges in sustainable forest management through innovative biotechnology approaches. Professor Asiegbu leads investigations into molecular tree-microbe interactions, tree microbiomes, fungal genomics, and biological control of forest pathogens. His work focuses on understanding the molecular and biochemical pathways required by fungal pathogens to infect trees and the mechanisms by which forest trees resist infection. A central research question explores why certain fungi are pathogenic while others form beneficial associations like mycorrhizae. His team applies metabolomics and genomics approaches to screen conifer genotypes for resistance against pathogens like Heterobasidion spp., with the goal of developing novel disease control strategies and informing resistance breeding programs. Analysis of Professor Asiegbu's recent publications reveals a strong interdisciplinary focus spanning molecular biology, genomics, metabolomics, and ecological studies of tree-pathogen interactions. His work predominantly investigates the Heterobasidion pathosystem in coniferous trees, particularly Norway spruce, while also exploring the protective roles of beneficial microbes in enhancing tree resistance. The research integrates fundamental biological insights with practical applications for forest health management in the context of climate change threats to forest ecosystems. Professor Asiegbu has supervised multiple doctoral students on topics related to conifer resistance mechanisms, Heterobasidion pathogenesis, and co-infection dynamics. He leads significant research projects including 'Heterobasidion barrträd patosystem' (2024-2028), 'Bright' (2023-2025), and participates in the Viikki Plant Science Centre and NaPPI infrastructure initiatives, with funding primarily from the Academy of Finland. As director of the Forest Pathology Research Lab, Professor Asiegbu oversees a research program that applies modern biotechnology tools to understand tree-microbe interactions across natural forests, plantations, and urban environments. His work serves public and environmental interests by developing scientific approaches to prevent and control tree diseases, addressing both biotic factors (particularly fungal diseases) and abiotic factors (such as climate change impacts) affecting forest health.
Jianning Dong is an Assistant Professor at Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science. He specializes in electrical machine design and power electronics with focus on applications for electric vehicles and renewable energy systems. His educational background includes: BSc from Southeast University, Nanjing, China (2010) PhD from Southeast University, Nanjing, China (2015) Post-doctoral researcher at McMaster Automotive Resource Centre, McMaster University (2016) Dong's research focuses on electrical machine design and power conversion systems with particular expertise in permanent magnet machines and wireless power transfer technologies. His work bridges theoretical analysis with practical applications in electric vehicle propulsion and renewable energy integration. Key research areas include: High-speed permanent magnet machines Wireless power transfer systems for electric vehicles Acoustic noise analysis of electrical machines Waste heat recovery systems Electric motors for home appliances and electric vehicles Electric generators for wind turbines His recent publications demonstrate a strong focus on optimizing wireless EV charging systems, with particular attention to efficiency, power quality, and system design. The work spans fundamental research on modulation techniques, compensation topologies, and system integration for high-power applications. Dr. Dong actively participates in collaborative research projects: ECS4DRES: Electronic Components and Systems for flexible, coordinated and resilient Distributed Renewable Energy Systems (active) PROGRESSUS: Highly efficient and trustworthy electronics for next generation energy supply infrastructure (completed) He has supervised 5 students and regularly presents tutorials on EV charging technologies at international conferences. His work is closely aligned with the TU Delft Wind Energy Institute (DUWIND), contributing to interdisciplinary research in sustainable energy systems.
