جست‌وجوی استاد و پژوهشگر

Saleem Zaroubiمشاهده پروفایل

استاد

• Cosmology
• Astrophysics
• Epoch of Reionization
• +۳ مورد دیگر

Prof. Saleem Zaroubi is a Professor of Astronomy at the Kapteyn Astronomical Institute, part of the University of Groningen's Faculty of Science and Engineering. His research focuses on cosmology, particularly the Epoch of Reionization (EoR), using radio telescopes like LOFAR and NenuFAR. He leads the LOFAR-EoR key science project to study the transformation of the early universe's neutral hydrogen into ionized plasma. His work includes analyzing 21 cm signal power spectra to probe the intergalactic medium, ionospheric effects on observations, and machine learning techniques for data analysis. Recent studies involve upper limits on cosmic dawn signals, transient radio frequency interference mitigation, and statistical modeling of reionization processes. Zaroubi collaborates internationally on projects like the AARTFAAC Cosmic Explorer and contributes to understanding large-scale structures through radio interferometry. His research also addresses calibration challenges, cosmic infrared background anisotropies, and kinetic SZ effect detections in galaxy clusters. Publications span over 120 articles in journals like Astronomy & Astrophysics and Monthly Notices of the Royal Astronomical Society . He actively participates in conferences and serves on scientific committees, advancing observational cosmology and radio astronomy techniques.

Janka Stokerمشاهده پروفایل

استاد

• Leadership
• Organizational Change
• Self-Managing Teams
• +۴ مورد دیگر

Prof. Janka Stoker is a Professor of Leadership and Organizational Change at the University of Groningen's Faculty of Economics and Business. She serves as Director of the In the LEAD research centre, focusing on leadership and performance. Her roles include academic leadership, executive education, and organizational consultancy. Born in Assen, Netherlands (1970), she holds a Master's in Social Psychology and a Ph.D. from the University of Twente (1998), with postdoc research there. She has extensive experience in academia and consulting, including roles as Vice Dean and senior managing consultant at Berenschot. Education: Master's: University of Groningen (1993) Ph.D.: University of Twente (1998) Research Interests: Leadership in crises, gender dynamics in leadership, top management teams, and management quality. Her work bridges leadership theory with practical organizational challenges, emphasizing adaptive strategies in turbulent environments. She actively contributes to executive education programs and advisory roles for organizations. Other Activities: Board member: Goldschmeding Foundation Advisory roles: RKSV Albertus Magnus, Berenschot Foundation External expert: AFM, Aletta Jacobsprijs Jury Labs/Teams: Leads the In the LEAD centre, offering cutting-edge research and executive programs on leadership and organizational performance.

Tor Håkon Jackson Inderbergمشاهده پروفایل

دانشیار

• Climate Policy
• Renewable Energy Systems
• Energy Justice
• +۳ مورد دیگر

Tor Håkon Jackson Inderberg is an Associate Professor in the Department of Technology Systems at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His primary focus is on energy systems, climate policy, and governance dynamics in low-carbon transitions. He holds a position in the Section for Energy Systems, emphasizing interdisciplinary research at the intersection of technical, socio-economic, and political dimensions of energy transitions. His research explores topics such as renewable energy policy design (e.g., solar and wind energy governance), energy justice, and the interplay between climate legislation and technological innovation. He has contributed to studies on Norway's hydrogen strategy, carbon capture and storage policies, and the geopolitical implications of energy systems. His work often addresses policy feedback mechanisms and equity considerations in transitioning to sustainable energy systems. Recent publications analyze decentralization trends in electricity systems, fair allocation principles in energy models, and the anchoring effects of climate acts. His research frequently appears in journals like Energy Research & Social Science , Climate Policy , and Environmental Research: Energy , reflecting a strong focus on socio-technical systems and policy frameworks. Dr. Inderberg collaborates internationally, co-authoring works on Nordic biofuel policies, hydrogen export strategies, and community-based energy projects. His contributions highlight the necessity of equitable and politically feasible pathways for deep decarbonization, integrating technical, institutional, and societal dimensions.

• Climate Emergency Education
• Sustainable Energy & Technologies
• Semiconductor Technology
• +۵ مورد دیگر

Professor Paul Holland is a Professor of Electronic and Electrical Engineering at Swansea University, serving as Associate Dean International in the Faculty of Science and Engineering. His roles include advancing internationalization efforts and transforming higher education practices through active and blended learning initiatives. He holds a PhD in Power Integrated Circuit (PIC) Technologies and has over a decade of industry experience in semiconductors. His research spans decarbonization of energy systems, climate emergency education, and semiconductor technologies. Notable projects include developing a CMOS platform for Lab-On-A-Chip applications in immunological studies and energy sector innovations, funded by the Engineering and Physical Sciences Research Council (EPSRC). He leads collaborative projects with nanotechnologists, biologists, and medical scientists to bridge engineering and life sciences. Professor Holland champions Education 4.0, emphasizing digital tools in active learning environments. He co-leads international online modules for global engineering design and has pioneered blended learning pilots at Swansea. His work explores how technologies enhance student engagement and transform traditional teaching spaces into dynamic, collaborative hubs. He is actively involved in postgraduate supervision and has secured significant grants for interdisciplinary research. His contributions to both technical and pedagogical advancements reflect a commitment to sustainable energy solutions and innovative education paradigms.

Michael Choletteمشاهده پروفایل

دانشیار

• Reliability engineering
• Maintenance optimization
• Control systems
• +۲ مورد دیگر

Michael Cholette is an Associate Professor at Queensland University of Technology's School of Mechanical, Medical and Process Engineering. He holds a Ph.D. from the University of Texas at Austin and specializes in asset management, reliability modeling, and maintenance optimization. His research spans condition-based maintenance, renewable energy systems, and control optimization, with funding from Australian Research Council and industry partners. Research Interests: Focuses on reliability engineering, predictive maintenance, and energy optimization in industrial and renewable energy contexts including solar power plants and wind farms. Projects: Leads ARC Industry Transformation Hub for Resilient Infrastructure Systems and studies track geometry degradation for railway maintenance.

Meng Tianمشاهده پروفایل

دانشیار

• Educational Leadership
• Distributed Leadership
• Social Justice Leadership
• +۳ مورد دیگر

Dr. Meng Tian is an Associate Professor in Educational Leadership and Director of Global Engagement for the College of Social Science at the University of Birmingham. She joined the Education Leadership Academy in 2021 and holds dual roles in teaching and administration. Her work focuses on distributed leadership, social justice, and global citizenship education. Education: PhD in Educational Leadership (University of Jyväskylä, Finland), MA in Educational Leadership (University of Jyväskylä, Finland), BA in Educational Administration (East China Normal University, China) External Roles: Co-Convenor of EERA Network 26, Associate Editor of Educational Management, Administration & Leadership Her research emphasizes transforming teacher professional development through global citizenship frameworks and analyzing education inspection systems across nations. Recent publications address systemic leadership challenges in England and policy tensions in China. Dr. Tian oversees global engagement strategies for international recruitment, research collaborations, and staff/student mobility. She supervises PhD/Master’s students and teaches on MA/PGDip programs in educational leadership. Publications span educational leadership theory, comparative policy analysis, and arts-based methodologies. Collaborations include work with European and Chinese institutions on leadership development programs.

Masoud Baratiمشاهده پروفایل

استادیار

• Electric Power Systems Modeling
• Quantum Computing
• Optimization and Simulation
• +۸ مورد دیگر

Masoud Barati is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh's Swanson School of Engineering. Previously, he held similar roles at the University of Houston and Louisiana State University. He earned his PhD in Electrical Engineering from the Illinois Institute of Technology (2009-2013) and completed a postdoctoral fellowship at the University of Chicago Booth School of Business in 2014. His research bridges pure and applied mathematics with electric power systems, focusing on resilience, quantum computing, and control systems. Barati’s academic journey includes a diverse range of studies: his doctoral work at Illinois Tech focused on electrical engineering, while his postdoctoral research at the University of Chicago explored business-related systems through a computational lens. His current role at the University of Pittsburgh allows him to advance interdisciplinary research in energy systems. Research interests span algebraic geometry and category theory for computational problem-solving in power systems, alongside applied areas like optimization, quantum computing, Bayesian statistics, and deep learning. He investigates resilience in power grids under natural hazards and cyber-attacks, with specific attention to AC optimal power flow, energy justice, and multi-interdependent infrastructure management. His work integrates smart city technologies, blockchain for energy trading, and data-driven methods such as kernel regression and neural networks for real-time grid analysis. His recent publications emphasize quantum protocols for entanglement detection, smart city energy infrastructure resilience, and machine learning-augmented approaches to power system control. These trends reflect a focus on leveraging advanced computational tools to address modern energy challenges. Barati has contributed to collaborative research projects, including a global algorithm for AC-OPF optimization funded by the National Science Foundation (NSF). While no scientific awards are explicitly listed, his research portfolio demonstrates significant contributions to energy systems and quantum computing. His advisory work includes various projects on grid resilience, though formal student advisee names are not provided in the text. Grants and funding are associated with his collaborative efforts in developing scalable optimization algorithms for power systems. Research activities involve partnerships with institutions like IBMQ for quantum simulations and local case studies in Pittsburgh. He explores innovative solutions such as mobile charging stations for EVs and blockchain-based energy trading models, reflecting a commitment to both theoretical and applied advancements in energy engineering.

Sanowar Khanمشاهده پروفایل

استاد

• Mathematical modelling
• CAD of sensors and actuators
• Computational electromagnetics
• +۸ مورد دیگر

Professor Sanowar Khan is a Professor and Associate Dean (SSE) at the School of Science and Technology , City St George's, University of London , where he has been a faculty member since 1989. He holds a PhD and MSc (with Distinction) in Electrical Engineering from Peter the Great St Petersburg Polytechnic University, Russia. He previously served as Deputy Dean from 2008 to 2019. His research spans mathematical modelling, computational electromagnetics, finite element analysis, magnetic shape memory materials, sensor and actuator design, tomographic imaging, and measurement systems . His work integrates advanced numerical methods with practical instrumentation and biomedical applications, including hemodynamics and smart sensors. Recent publications show a strong trend in finite element modeling of electromagnetic phenomena , particularly in power systems (e.g., skin and proximity effects in cables) and biomedical engineering (e.g., carotid artery hemodynamics). He also contributes significantly to signal processing and smart material-based sensing . His editorial leadership includes being Editor-in-Chief of Sensor Review and former Associate Editor of Measurement and related journals. Fellow of the Institution of Engineering and Technology (IET) Fellow of the Institute of Measurement and Control (InstMC) Honorary Professor, Peter the Great St Petersburg Polytechnic University Founder Member, International Compumag Society (ICS) Liveryman, Worshipful Company of Scientific Instrument Makers Freeman of the City of London He advises on instrumentation standards and policy through his editorial and professional roles. He has no known PhD or Master’s students listed. He leads no specific lab or research team mentioned in the text but collaborates widely, particularly with researchers in biomedical engineering and electromagnetics.

• Robotics
• Control Systems
• Automation
• +۱۰ مورد دیگر

ABDERRAHIM FICHOUCHE, MOHAMED is an Associate Professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid (UC3M), where he also serves as Deputy Director of the Doctorate. He is affiliated with the Robotics Lab research group and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. His academic and research profile spans robotics, control systems, biomedical engineering, and power systems. His research interests include robotics , automation , control systems , biomedical signal processing , computer vision , and renewable energy integration . His work focuses on intelligent robotic systems, rehabilitation robotics, EEG-based brain-computer interfaces, fault detection in power systems, and advanced control strategies for industrial and autonomous systems. The recent publications reflect a strong trend in interdisciplinary research, combining machine learning with signal processing for applications in medical diagnostics , robotic control , and smart grid monitoring . His work increasingly integrates deep learning , wavelet analysis , and adaptive control across domains. He has led major research projects such as: HANDLE (EU and national funding): Focused on dexterous in-hand manipulation. SARAH: Enhancing robot autonomy with artificial hands. PAPREC: Automatic grasping of disordered parts. PROSAVE: Eco-efficient aircraft systems. GRAND-PA: Assistive technologies for the elderly. He currently participates in ongoing projects including: SEGVAUTO5G-CM (2025–2028): Future mobility innovation. RoboCity2030-DIH-CM (2019–2023): Madrid Robotics Digital Innovation Hub. HYPER: Neuroprosthetic and neurorobotic devices for rehabilitation. He has supervised several theses on topics such as transmission line fault detection , autonomous decision-making in robots , and 3D perception . His research is conducted primarily within the Robotics Lab at UC3M, a multidisciplinary team focusing on advanced robotic systems for industrial, medical, and service applications.

• Power Systems Analysis
• Demand Side Management
• Electricity Markets
• +۷ مورد دیگر

Murat Fahrioğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His academic expertise lies in power systems, demand side management, and renewable energy integration. Ph.D. in Electrical Engineering, University of Wisconsin-Madison, 1999 M.Sc. in Electrical Engineering, University of Wisconsin-Madison, 1994 His research interests focus on enhancing power system reliability and efficiency through demand management, game theory applications, and sustainable energy solutions. He investigates nonlinear pricing models, customer outage cost calibration, and the role of distributed generation in preventing outages. His work emphasizes the economic and strategic dimensions of power system operations, particularly in deregulated environments. He has also explored the integration of solar and wind energy in Northern Cyprus, assessing hybrid systems and grid connection challenges. The recent publications reflect a strong trend in applying computational and economic models—particularly game theory and neural networks—to optimize demand management contracts, locational marginal pricing, and distributed generation integration. His work bridges electrical engineering with economics, contributing to smarter, more resilient power grids. While no specific scientific awards are listed in the provided text, his sustained publication record in reputable journals such as IEEE Transactions on Power Systems and Electric Power Systems Research indicates scholarly recognition. Murat Fahrioğlu has advised graduate research, as evidenced by his doctoral and master’s theses. His research projects include demand management program design, integration of distributed generation, and optimal economic dispatch using TCSC devices. These efforts contribute to robust, cost-effective power systems and support sustainable energy transitions. His research has practical implications for regulators, Independent System Operators (ISOs), and utilities aiming to enhance grid stability and incorporate renewable energy sources efficiently. His focus on Northern Cyprus highlights regional energy challenges and opportunities in solar and wind hybrid systems.

Sokol Kostaمشاهده پروفایل

دانشیار

• Edge Computing
• Mobile Cloud Computing
• Cybersecurity
• +۱۷ مورد دیگر

Sokol Kosta is an Associate Professor in the Department of Electronic Systems at the Technical Faculty of IT and Design, Aalborg University, Copenhagen, Denmark. His research focuses on edge computing, mobile cloud computing, cybersecurity, privacy, and the societal impact of digital technologies, particularly in public service media and data protection regulation. He is affiliated with the Cyber Security Group and contributes to initiatives such as 'AI for the People'. His research interests include edge and fog computing, computation offloading, Internet of Things (IoT), Internet of Floating Things, GPGPU acceleration, blockchain-based systems, privacy-preserving technologies, GDPR compliance, and public service media digital transformation. His work bridges technical innovation with policy and societal implications. His publications span from 2010 to 2025, with a strong presence in high-impact venues such as IEEE INFOCOM, IEEE Transactions on Mobile Computing, and The Web Conference. The articles reflect a consistent focus on mobile and edge computing systems, performance modeling, security, and privacy, increasingly incorporating societal and policy dimensions, especially post-GDPR. Trends include computation offloading optimization, decentralized systems, and empirical studies on web tracking and data governance. He has received 14 prizes and recognitions for his research contributions, though specific awards are not detailed in the provided text. He has supervised PhD students, including Jannick Kirk Sørensen, and has been involved in significant research projects such as the 'European Open Web Privacy Measurement' project (2017–2020), which examined GDPR's impact on third-party web services. He has presented his work internationally, including at The Web Conference 2019 in San Francisco, and has been featured in media coverage discussing data privacy compliance of Danish public websites. His lab and team activities are centered around the Cyber Security Group and collaborative projects involving distributed computing, edge AI, and privacy measurement.

Paal Engelstadمشاهده پروفایل

استاد

• Machine Learning
• Wireless Communications
• Renewable Energy Systems
• +۴ مورد دیگر

Paal Engelstad is a Professor at the University of Oslo, affiliated with the Section for Autonomous Systems and Sensor Technologies at the Institute of Transport Economics (ITS). He holds a full-time academic position. His research focuses on machine learning, wireless communications, renewable energy systems, and network security, with applications in IoT, reinforcement learning, and graph neural networks. His work addresses challenges in energy forecasting, autonomous systems, and secure information exchange. Key research interests include: Deep learning for solar and wind energy forecasting Graph neural networks and their applications in recommendation systems and network analysis Non-orthogonal multiple access (NOMA) in IoT and wireless networks Reinforcement learning for autonomous systems and control Security classification and anomaly detection in networks His recent publications highlight contributions to probabilistic solar irradiance forecasting, graph-based wind prediction models, and reinforcement learning algorithms for autonomous vehicles. He collaborates extensively with international researchers and has led projects like DESSI (Distributed Energy System and Security Infrastructure). Engelstad is involved in the following initiatives: Development of secure cross-domain information exchange frameworks Advances in energy-efficient IoT and sensor networks Applications of machine learning in cybersecurity and network optimization His research lab focuses on interdisciplinary solutions bridging transport economics, energy systems, and intelligent sensor technologies.

Thomas Maillartمشاهده پروفایل

مدرس ارشد

• Collective Intelligence
• Complex Socio-Economic Systems
• Human Dynamics
• +۱۲ مورد دیگر

Thomas Maillart is a Senior Lecturer and researcher at the Research Institute for Statistics and Information Science at the University of Geneva. His work bridges complex systems, collective intelligence, and cybersecurity, with a focus on modeling human dynamics and digital risks. Education: PhD in Science, ETH Zurich (2011) Master’s degree, EPFL (2005) His research centers on understanding how incentives, structures, and social interactions shape collective behavior in online and physical environments. He investigates topics such as cyber risks, privacy, resilience, and technological innovation. His work often applies statistical physics and data science to socio-technical systems, including open-source software development, cybersecurity policy, and human behavior modeling. His recent publications reflect a strong trend toward interdisciplinary research, combining insights from computer science, economics, psychology, and public policy. He explores how machine learning can forecast digitization labor needs, how collective action enhances cybersecurity, and how bio-sensors can aid in medical diagnosis. His work frequently appears in high-impact journals such as Science , PLOS ONE , and Physical Review . Scientific Awards: Zurich Dissertation Prize (2012) for pioneering work on cyber risks Thomas Maillart has advised and collaborated with numerous researchers and students, though specific names are not listed in the provided text. He has been involved in significant research grants and initiatives, including cybersecurity consulting for governmental and private organizations and co-founding a cybersecurity startup in 2005. His academic service includes organizing and presenting at international conferences such as WEIS and ACM conferences. He is associated with several research platforms, including ResearchGate, Google Scholar, LinkedIn, and Twitter, and has contributed to both peer-reviewed and practitioner-oriented publications. His recent editorial work includes co-editing a book on critical information infrastructure security.

Joanne Kuaiمشاهده پروفایل

پژوهشگر ارشد

• Digital Journalism
• AI and Media
• Algorithmic Governance
• +۴ مورد دیگر

Dr. Joanne Kuai is a Research Fellow in the School of Media and Communication at RMIT University, Australia, with expertise in digital journalism, AI governance, and the social implications of algorithmic systems. She holds a PhD from Karlstad University, Sweden, and serves as an Affiliate of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). Her educational background includes doctoral studies at Karlstad University where she focused on AI's impact on journalism in China's media landscape. Prior to academia, she gained practical experience as a reporter, editor, and news anchor in China. Dr. Kuai's research centers on the intersection of journalism, artificial intelligence, and media governance, with particular attention to Chinese media contexts. Her work explores how algorithmic systems are reshaping news production, distribution, and consumption while examining the policy frameworks needed for responsible AI implementation in media environments. Her publications reveal a strong focus on cross-cultural comparisons of AI applications in journalism, particularly examining political information retrieval across different language contexts. She investigates how search engine chatbots powered by large language models perform in political information retrieval, highlighting issues of bias, representation, and governance in algorithmic media systems. Co-guest editor of Information, Communication & Society special issue on Generative AI Governance Regular contributor to New Books Network podcast Faculty at JournalismAI Academy, Polis, London School of Economics Dr. Kuai actively participates in academic mentoring and knowledge sharing, contributing to the JournalismAI Academy while maintaining connections with emerging scholars in the field. Her work bridges academic research with practical applications in journalism and media organizations navigating the AI transformation.

• Artificial Intelligence
• Machine Learning
• Energy Systems
• +۳ مورد دیگر

Chenghao Huang is a Research Fellow in the Department of Data Science & AI at Monash University, pursuing a Doctorate by Research. His work focuses on integrating machine learning techniques with energy systems, particularly in smart grids, renewable energy optimization, and AI-driven solutions for energy management. He actively contributes to the UN Sustainable Development Goals related to affordable and clean energy. Recent research emphasizes multi-agent reinforcement learning for EV charging stations, federated learning in electricity markets, and fraud detection in photovoltaic systems. His publications span conferences like IEEE Smart Cities and IEEE Power & Energy Society General Meeting. Collaborations include projects on energy disaggregation, weather factor fusion, and large foundation models for power systems. No formal student advising or awards are explicitly listed, though his work demonstrates significant engagement with industry-relevant challenges in energy and AI.