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Bent Ole Gram MortensenView profile

Professor

• Public Law
• Energy Law
• Supply Law
• +13 more

Bent Ole Gram Mortensen is a Professor of Public Law in the Department of Law at the University of Southern Denmark, Faculty of Social Sciences. He is an active academic with extensive research, teaching, and public engagement, particularly in energy, environmental, and marketing law. His work bridges legal scholarship with policy and public discourse. His research interests include: Energy and supply law (district heating, electricity, renewables) Greenlandic resource and environmental law Environmental law related to energy use Marketing law, including greenwashing and climate labeling Data protection and cybersecurity in the energy sector Standardization and public procurement His recent articles reflect a strong focus on climate law, energy regulation, data protection, and consumer rights in the energy market. Themes include legal responses to greenwashing, cybersecurity in energy systems, utility bankruptcies, and climate legislation. His work combines public law with environmental and economic regulation, emphasizing accountability, sustainability, and consumer protection. Scientific awards received: Det Samfundsvidenskabelige Fakultets undervisningspris, Syddansk (2003) Årets forskerpris 2001 (2001) Årets juridiske underviser 2000 (2000) Mortensen has supervised students and led significant research projects such as the 4DH Strategic Research Centre. He teaches courses including Digital Governance, Market Regulation (including a part-time offering), Environmental Law, and Public Procurement Law. His public engagement is extensive, with over 600 media appearances, where he provides expert commentary on legal and policy issues in energy and environmental law.

• Power System Protection
• Smart Grid Interoperability
• Wide Area Measurements
• +3 more

Ibrahim Faiek Abdulhadi is affiliated with the Power Networks Demonstration Centre at the University of Strathclyde. His roles include Co-investigator and Principal Investigator in 16 active and completed projects focusing on smart grid technologies and power system protection. His research interests span power system protection, smart grid interoperability, wide area measurement systems, real-time simulation, and experimental validation of controls. He has contributed to major initiatives like the System Frequency Response (SFR) Demonstrator dataset (2017). Recent research outputs include studies on EV charging infrastructure deployment and cybersecurity protocols for IEC 61850-90-5 standards. His work aligns with UN Sustainable Development Goals related to affordable and clean energy. Abdulhadi has organized the PNDC Knowledge Exchange Forum (2025) and delivered invited talks on wide area monitoring systems (2020). His expertise combines theoretical research with practical implementation through collaborative industry projects.

• Power Systems
• Renewable Energy
• Smart Grids
• +4 more

Matti Lehtonen is a Professor in the Department of Electrical Engineering and Automation at Aalto University. His research focuses on power systems, renewable energy integration, smart grids, electric vehicles, and sustainable energy solutions. He leads projects addressing high-voltage engineering, grid capacity optimization, and electrification challenges in severe climate conditions. Key research interests include: Optimizing power systems flexibility for green energy transitions Electric vehicle charging infrastructure and routing strategies Low-carbon building renovation in cold climates Energy storage integration and grid stability His recent work emphasizes: Hosting capacity assessment for distribution networks Cost-effective rural building renovations Carbon lifecycle analysis of transportation systems No scientific awards or grants are explicitly listed in the provided text. He collaborates extensively with researchers across disciplines to advance sustainable energy systems and grid modernization.

May HuView profile

Associate Professor

• Banking
• Corporate Finance
• Financial Inclusion
• +5 more

Dr May Hu is an Associate Professor of Finance at RMIT University's School of Economics, Finance and Marketing. She holds a PhD in Finance from Monash University (2015). Her research focuses on banking and corporate finance, including banking competition, ownership structures, corporate cash holdings, stock market liquidity, and policy uncertainty. She has also contributed to studies on digital transformation, AI in mobility, and sustainability in information systems. Dr Hu's work bridges financial theory and practical challenges, with notable contributions to understanding financial inclusion through meta-analysis and exploring AI's role in urban mobility ecosystems. She has secured competitive grants and won best paper awards at international conferences. Her recent studies address space cybersecurity, fintech ecosystems in Africa, and MaaS adoption through behavioral and digital platform analyses. Education: PhD in Finance (Monash University, 2015) Research Themes: Banking Efficiency, Policy Uncertainty, Digital Skills Frameworks, AI in Transportation Awards: Best Paper Awards (various conferences), Academic/Industry Grants Her research emphasizes interdisciplinary approaches, combining finance, technology, and policy. Recent articles highlight innovation in mobility ecosystems, fintech evolution in Africa, and digital adaptability for small businesses.

Dwi RahayuView profile

Lecturer

• Computer Science
• Data Science
• Smart Home Technologies
• +3 more

Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.

• Urban Planning
• Environmental Health
• Transportation Engineering
• +5 more

Dr. Esra Suel is an Associate Professor in City Modelling at the University College London's Centre for Advanced Spatial Analysis (CASA) since 2024. She holds a part-time role as Senior Scientist at ETH Zurich's Future Cities Lab. Her expertise spans urban systems, environmental health, and geomatic engineering. She earned a PhD in Urban Systems and Transport Planning from Imperial College London (2016), and holds degrees from Sabanci University and the University of Michigan. Research Interests: Dr. Suel focuses on the intersection of urban environments and health, leveraging street-view imagery and machine learning to assess greenspace impacts on cardiovascular health, mental well-being, and urban inequality. Her work also explores transport equity, air quality modeling, and sustainable city indicators. Recent studies include large-scale slum mapping in Africa and global urban health benchmarking tools. Key Contributions: Her 2025 studies link greenspace exposure to depression risk reduction in US women and reveal cardiovascular health disparities through street-level analysis. Earlier work pioneered air quality estimation via satellite imagery in data-scarce regions. She co-developed KidSat, a poverty-mapping dataset using satellite imagery. Awards: MRC Rutherford Fellowship (2018) Labs: CASA's Urban Analytics Lab, Future Cities Lab (ETH Zurich) Grants: Wellcome Trust-funded Healthy Cities project, MRC funding Her interdisciplinary approach bridges geospatial technologies with public health, contributing to UN Sustainable Development Goals 3 and 11.

Haizhong WangView profile

Professor

• Transportation Engineering
• Disaster Resilience and Emergency Management
• Intelligent Transportation Systems (ITS)
• +3 more

Haizhong Wang is a Professor in the Department of Civil and Construction Engineering at Oregon State University, affiliated with the College of Engineering. He holds a Ph.D. in Civil Engineering from the University of Massachusetts Amherst (2010), an M.S. in Applied Mathematics from the same institution (2010), and earlier degrees from Beijing University of Technology and Hebei University of Technology in China. His research focuses on transportation systems, disaster resilience, and intelligent infrastructure solutions. Education: Ph.D., Civil Engineering, UMass Amherst, 2010 M.S., Applied Mathematics, UMass Amherst, 2010 M.S., Civil Engineering, Beijing University of Technology, 2006 B.S., Civil Engineering, Hebei University of Technology, 2003 Dr. Wang's research integrates traffic flow modeling, agent-based systems, and interdisciplinary approaches to address challenges in emergency evacuation logistics, autonomous vehicle impacts, and climate-resilient infrastructure. He explores topics such as tsunami preparedness, wildfire evacuation behavior, and optimization of electric vehicle networks. His work emphasizes data-driven methodologies for enhancing transportation safety, efficiency, and disaster response capabilities. Recent studies highlight his contributions to understanding evacuation decision-making under time-critical scenarios, optimizing multi-modal transportation networks, and assessing infrastructure vulnerability to cascading disasters. Collaborative projects include developing frameworks for cooperative logistics systems and interdisciplinary models linking natural, built, and social systems for community resilience. His grants and collaborations focus on disaster preparedness, smart work zones, and connected vehicle technologies. He advises on transportation safety and serves on research initiatives addressing climate adaptation and emergency management. Current efforts include refining agent-based models for vertical evacuation strategies and evaluating the societal impacts of automated vehicles on urban mobility.

Michel MAROTView profile

Professor

• Networking
• Wireless Communication
• Performance Evaluation
• +5 more

Professor Michel MAROT is affiliated with Telecom SudParis, where he holds the position of Professor in the NeSS department. His research focuses on networking, wireless communication systems, performance evaluation, smart grids, and machine learning applications in telecommunications. MAROT has contributed to advancements in vehicular networks (VANETs/V2V), IoT architectures (LoRaWAN), and energy-efficient protocols for wireless sensor networks (WSNs). He has led studies on coalition formation in smart grids, reinforcement learning for policy optimization, and network resource management in 6G systems. Key research areas include optimizing network performance through cross-layer design, improving QoS in mobile and vehicular environments, and deploying intelligent reflecting surfaces (IRS) for 6G. His work frequently addresses challenges in mobility management, collision avoidance, and energy efficiency in distributed systems. MAROT has co-authored influential papers in journals like Neurocomputing, IEEE Transactions on Smart Grid, and IEEE Open Journal of the Communications Society. His research group (SAMOVAR/NeSS) develops practical solutions for real-world networks, including cold chain monitoring systems using sensor networks and DNS-based optimizations for SCHC protocols. MAROT’s recent work explores machine learning embedded in LPWAN sensors and mobility-aware resource allocation in LoRaWAN.

Reza SirjaniView profile

Senior Lecturer

• Energy Systems Optimization
• Renewable Energy Integration
• Power Electronics
• +9 more

Reza Sirjani is a Senior Lecturer in Electrical Engineering at Karlstad University. He has over 15 years of research experience in energy systems optimization, renewable energy, and power electronics. His academic journey includes roles at Cyprus International University (2013-2017) and Eastern Mediterranean University (2017-2022), where he became an Associate Professor and served as Vice Chair of the Department of Electrical and Electronics Engineering (2020-2022). Education: BSc in Electrical Engineering (Power Systems) from Khajeh Nasir Toosi University of Technology, Iran (2006) MSc in Electrical Engineering (Power Systems) from Tehran Science and Research University (2008) PhD in Electrical Engineering from National University of Malaysia (2013) Research interests include renewable energy integration, optimization techniques in energy systems, power electronics, FACTS devices, and smart grids. His work addresses challenges in power quality, energy storage systems, and distributed generation. Current projects: GränsENERGI (2025-2028): Innovative solutions for future energy supply LOKEN (2024-2027): Local Energy Management in Värmland Riskville power system expansion (2023-2024) Teaching: Courses include Electrical Power Systems Technology, Power Electronics, Electric Machines, and Renewable Energy Integration. Collaborations include Glava Energy Center, CSR, and Clear River Racing. Publications: Over 40 peer-reviewed articles focusing on optimization algorithms, energy storage, and renewable integration. Supervised 18 Master/PhD students.

• Lithium-ion batteries
• Battery thermal management systems
• Electric vehicles
• +7 more

Maitane Berecibar is a Professor in the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel, affiliated with the MOBI - Electromobility Research Centre. She leads research on lithium-ion batteries, thermal management systems, and sustainable energy storage solutions. Key roles include project coordination in EU-funded initiatives like GEARING MOBI and REBORN. Her work spans fundamental and applied research, with a focus on battery degradation, fast charging, and second-life applications. Education & Professional Background: While specific academic qualifications are not detailed, her extensive leadership in doctoral and master's theses supervision, along with prestigious grants (e.g., Francqui Start Up Grant), underscores her academic and professional standing. Research Interests: Her work centers on optimizing battery performance through advanced thermal management (e.g., phase-change materials), developing predictive models for battery degradation, and exploring sustainable battery chemistries. She also investigates the integration of batteries into grids and electric vehicles, emphasizing fast charging protocols and safety. Recent Article Trends: Recent publications focus on self-healing batteries, hybrid cooling systems, and solid-state electrolytes. Themes include improving battery longevity, reducing environmental impact, and advancing digitalization in manufacturing processes. Awards & Honors: Francqui Start Up Grant (2023) – Supports innovative battery research FWO Postdoctoral Fellow Senior (2020) – Recognizes her research excellence WEVJ BEST PAPER AWARD (2021) – For contributions to EV battery systems Grants & Projects: Active in >50 projects, including GEARING MOBI (2025–2029) for next-gen EV tech and REBORN (2025–2028) for second-life battery systems. She also co-organizes international conferences like Batteries2025. Labs & Collaborations: Leads interdisciplinary teams in battery design, thermal systems, and sustainability. Collaborates with global institutions on electromobility and decarbonization.

Madhav MaratheView profile

Professor

• Network Science
• Computational Epidemiology
• Artificial Intelligence
• +15 more

Madhav Marathe is a tenured Professor of Computer Science and the Distinguished Professor in Biocomplexity at the University of Virginia, where he also serves as Executive Director of the Biocomplexity Institute. He has held leadership roles at Virginia Tech and Los Alamos National Laboratory, and his work is deeply rooted in transdisciplinary team science. His research spans a wide range of domains including network science, artificial intelligence, computational epidemiology, high-performance computing, and complex systems. He develops foundational methods to model, analyze, and control large-scale biological, information, social, and technical (BIST) systems. His work integrates theoretical computer science with practical applications in public health, disaster response, and infrastructure resilience. The recent publications reflect a strong trend toward data-driven modeling of societal challenges—especially in pandemic response, forced migration, and energy systems. His team leverages agent-based simulations, machine learning, and high-performance computing to create scalable, policy-relevant models that support real-world decision-making. Fellow, American Association for the Advancement of Science (AAAS) Fellow, Association for Computing Machinery (ACM) Fellow, Institute of Electrical and Electronics Engineers (IEEE) Fellow, Society for Industrial and Applied Mathematics (SIAM) Distinguished Researcher Award, University of Virginia (2023) Honorary Doctoral Degree, Chalmers University (2023) Best Paper Award, SIGKDD 2021 (Applied Data Science) Endowed Distinguished Professor of Biocomplexity (2019) Dean’s Award for Excellence in Research, Virginia Tech (2018) Constellation Group’s Supernova Award (2016) Dr. Marathe has mentored over 30 doctoral students, 20+ MS students, and 15 postdoctoral fellows, and has led major federally funded projects including those related to computational epidemiology and national security. His lab, the Biocomplexity Institute, develops high-performance computing services and data analytics platforms for policymakers and emergency planners. He is also involved in initiatives such as the National Security Data and Policy Institute and the Expeditions in Global Pervasive Computational Epidemiology.

Kurt KornbluthView profile

Adjunct Assistant Professor

• Energy Efficiency
• Renewable Energy Systems
• Sustainable Energy
• +9 more

Kurt Kornbluth is an Adjunct Assistant Professor in the Department of Biological and Agricultural Engineering at the University of California, Davis, College of Engineering. He holds key leadership roles as the Director of the Program for International Energy Technology (PIET), Associate Director at the Blum Center for Developing Economies, and Sustainable Campus, Sustainable Cities Champion. His work bridges engineering, sustainability, and international development. His research focuses on the development and application of energy-efficient technologies, particularly in developing regions. Key areas include renewable energy systems, biomass and hydrogen-based power generation, microgrids, and solar drying. He emphasizes the integration of technical innovation with social and economic factors to ensure sustainable and equitable energy access. The recent publications highlight a strong trend in modeling and optimizing energy systems for sustainability, with a focus on biomass, geothermal, and solar technologies. His work spans transportation electrification, demand response, and off-grid solutions, often applied in real-world contexts such as California, Zambia, and the Galapagos Islands. The research consistently addresses technical feasibility, economic analysis, and environmental impact. He has received notable recognition, including the Best Paper Award from the Society of Automotive Engineers. His scientific contributions reflect a commitment to practical, impactful engineering solutions. Kornbluth actively leads research initiatives through PIET and the Blum Center, fostering interdisciplinary collaboration. While specific student names are not listed, his frequent co-authorship with students and researchers suggests an advisory role. His projects often involve partnerships with international organizations and government bodies, enhancing their real-world applicability. He is affiliated with the Biological and Agricultural Engineering department and contributes to graduate education as a PIET Graduate Faculty member. His labs and research teams focus on sustainable energy system design, with projects ranging from electric buses to solar lighting for off-grid communities.

Bedoor AlShebliView profile

Assistant Professor

• Computational Social Science
• Data Science
• Science of Science
• +7 more

Bedoor AlShebli is an Assistant Professor of Computational Social Science at New York University Abu Dhabi (NYUAD), affiliated with the Division of Social Science. She holds a PhD in Interdisciplinary Engineering from Masdar Institute of Science and Technology, an MSc in Computer Science from the University of Illinois Urbana-Champaign, and a BSc in Computer Science from Kuwait University. BSc in Computer Science – Kuwait University MSc in Computer Science – University of Illinois Urbana-Champaign PhD in Interdisciplinary Engineering – Masdar Institute of Science and Technology (Khalifa University) Her research lies at the intersection of data science, machine learning, and social science, with a strong focus on the Science of Science . She investigates how diversity—particularly ethnic and gender diversity—affects scientific collaboration and impact, and examines structural inequities in academic publishing. Her work also explores disinformation in socio-technical systems, AI research collaboration between global powers, and the career trajectories of postdoctoral researchers. Her recent publications, appearing in Nature Human Behavior , Nature Communications , Science Advances , and PNAS , reveal trends in academic equity, scientific collaboration, and the use of computational methods to study social systems. Many of her studies employ large-scale data analysis and network science to uncover systemic patterns in science and society. Nature Human Behavior (2023): Gender inequality and self-publication among academic editors PNAS (2023): Underrepresentation of non-white scientists in editorial roles and citation gaps Scientific Reports (2022): Beijing’s central role in global AI research PNAS (2025): Postdoc productivity as a predictor of academic success Nature Human Behavior (2025): Impact of retractions on publishing careers Her research has been widely covered in Nature , Physics World , Forbes , Inside Higher Ed , and APS Physics Magazine , highlighting its societal relevance. She has contributed to policy discussions, including a policy brief on international science faculty in Saudi Arabia. She actively mentors undergraduate students through the Computer Science Capstone program and teaches courses in Computational Social Science and Applied Data Science. She co-organized the Winter Institute of Computational Social Science at NYUAD in 2024, fostering regional capacity in data-driven social research. Dr. AlShebli leads a research effort that combines rigorous computational methods with deep social inquiry, contributing to both scientific understanding and policy-relevant insights on equity and innovation in science.

• Sustainable Technology
• Science and Technology Studies
• Infrastructure Studies
• +12 more

Thomas Berker is a Professor at the Department of Interdisciplinary Cultural Studies, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). His work bridges sociology, science and technology studies (STS), and sustainability, with a strong focus on how technologies are used and shaped in everyday life. He is deeply involved in interdisciplinary research on sustainable buildings, zero-emission neighborhoods, and digital sustainability transitions. PhD in Sociology, Frankfurt University Master in Sociology (major), Political Science and German Language and Literature (minors), Frankfurt University His research interests revolve around the sociotechnical aspects of sustainable innovation, particularly in the built environment. Drawing on practice theory, infrastructure studies, and symbolic interactionism, he investigates how users engage with energy-efficient technologies, smart systems, and circular economy models. He emphasizes participatory methods and civic living labs as tools for co-creating sustainable futures. His recent publications show a consistent focus on sustainable transitions, user participation, and the sociomaterial dimensions of infrastructure. Themes include zero-emission campuses, household energy practices, circular economy enactments, and media representation of sustainability expertise. His work often involves collaboration across disciplines and institutions, reflecting the complexity of sustainability challenges. He has supervised numerous Master’s and PhD students on topics related to sustainable technology, welfare innovation, and user engagement. His projects include FME ZEN (Zero Emission Neighbourhoods), SustainDiT (Sustainable Digital Transformations), and various EU and nationally funded initiatives. Thomas Berker is actively contributing to the academic community through publications, supervision, and project leadership. He is a central figure in Norway’s research on sustainable technology and societal transformation.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +8 more

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.