Prof. Ramakrishna Gokaraju is a Professor and Graduate Chair in the Department of Electrical and Computer Engineering at the University of Saskatchewan. His academic journey includes roles as Assistant Professor (2003), Associate Professor (2009), and full Professor (2015). He holds a B.E. from NIT Trichy (1992), M.Sc. and Ph.D. from the University of Calgary (1996, 2000). His research focuses on power system protection, smart grids, and sustainable energy systems, including small modular reactors (SMRs) and renewable integration. He has advised 8 PhD and 25+ Master’s students, with over 80 publications in top journals/conferences. Dr. Gokaraju’s honors include the Izaak Walton Killam Memorial Scholarship (1998–2000) and the Professor of the Year Award (2008). He has held visiting roles at the University of Manitoba (2009–2010), IIT Kanpur (2018), and institutions in Australia and India. His work emphasizes high-speed digital relaying, PMU-based solutions, and transient stability protection. Current research includes wind generator modeling, SMR integration, and energy storage systems for remote communities. His technical contributions span fault location algorithms, grid resilience enhancement, and GPU-based optimization for transport systems. Ongoing projects explore hybrid energy systems combining SMRs with renewables. Lab affiliations include the Power Systems Research Group at the University of Saskatchewan, focusing on smart grid innovation and sustainable energy solutions.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱-۱۵ از ۱۷۲ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Rudolf Neu serves as Professor at the Technical University of Munich (TUM) within the School of Engineering and Design, holding a dual appointment as head of an independent research group at the Max Planck Institute for Plasma Physics (IPP) since 2014. His expertise centers on plasma-material interactions critical for fusion energy development. His academic foundation includes: Physics studies at University of Tübingen Doctorate in Nuclear Physics (1992) Habilitation in Experimental Physics at University of Tübingen (2004) Professor Neu's research pioneers tungsten-based materials for fusion reactor first walls, addressing extreme thermal and plasma conditions in devices like ASDEX Upgrade and ITER. His work bridges materials science and plasma physics to solve erosion, impurity control, and component longevity challenges essential for viable fusion power. Publication trends reveal progressive refinement from experimental ASDEX Upgrade studies (2009-2013) toward advanced tungsten solutions for DEMO reactors (2016), consistently targeting plasma-facing component durability. This trajectory demonstrates strategic alignment with international fusion roadmap milestones. Key recognition includes: Highly Cited Researchers designation (ISI Engineering category, 2014) His leadership spans critical fusion initiatives including JET task force coordination (2011-2012) and EFDA's ITER Physics Department direction (2012-2013), establishing him as a central figure in Europe's fusion research infrastructure.
Professor Paul D. Sclavounos is a faculty member in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He earned his B.Sc. from the National Technical University of Athens in 1977 and Ph.D. from MIT in 1981. Research Interests : Marine hydrodynamics, stochastic control, offshore wind/wave/tidal/solar energy, machine learning applications, magnetohydrodynamic propulsion systems. Notable Contributions : Development of computational tools like SWAN and SML software suites; analysis of nonlinear wave dynamics; integration of AI/ML in marine hydrodynamics. Scientific Recognition : First Prize in National Mathematics Competition (1972), Georg Weinblum Memorial Lecturer (2010-2011), Best Paper Award at OMAE 2019, AEOLOS Scientific Award (2024). Leadership : Director of the Laboratory for Ship and Platform Flows since 1985; advisory roles for US Navy, US Department of Energy, and Det Norske Veritas (DNV). Teaching : Courses in Hydrodynamics (2.016), Advanced Fluid Mechanics (2.25), and Naval Architecture (2.701).
Brigitte Stegerمشاهده پروفایل
مدرس ارشد
Dr. Brigitte Steger is a Senior Lecturer in Modern Japanese Studies at the University of Cambridge, where she serves as a Fellow in Asian and Middle Eastern Studies at Downing College. She teaches modern Japanese society courses and directs graduate affairs while serving as Secretary of the Degree Committee. MA, MPhil, PhD in Japanese Studies (University of Vienna) Visiting researcher at multiple Japanese universities Co-founder of Cambridge Creative Circular Plastics Centre sub-project Her research focuses on cultural anthropology of Japanese daily life, particularly sleep practices (inemuri), gender dynamics in urban spaces, disaster response rituals, and cleanliness/waste practices. She conceptualizes sleep as socio-cultural performance and examines temporal practices in premodern Japan. Recent publications analyze Heian-era sleep patterns, 2011 tsunami shelter hygiene, and plastic consumption in consumer societies. She leads international research on historical timekeeping and contemporary waste practices. Her edited volumes explore Japanese gender diversity, including 'herbivore boys' and manga girl culture. Scientific awards: Bank Austria Prize (2002) Vorarlberg Science Award (2005) University of Cambridge weekly research contributor She supervises graduate research projects and serves on the European Association for Japanese Studies and Japan Anthropology Workshop councils. Her 2025-26 sabbatical focuses on completing Heian-period sleep research.
Jari Puttonen is a Professor of Structural Engineering at Aalto University's Department of Civil Engineering, School of Engineering. His research focuses on structural analysis, fire safety, materials science, and nuclear infrastructure safety. He has held roles as Principal Investigator in projects related to nuclear waste repository concrete modeling and aging management of NPP infrastructure. He has advised over 20 academic visitors and served in doctoral thesis committees. Education: Doctoral degree (1987), Licentiate (1984), and Master's degree (1979) in Engineering and Technology from Helsinki University of Technology (now part of Aalto University). Research Interests: Steel and composite materials behavior under extreme conditions Fire resistance of structural systems Long-term performance of concrete in nuclear facilities Non-destructive testing of construction materials Seismic resilience of critical infrastructure Awards: Recipient of the Knight, First Class of the Order of the White Rose of Finland (2020), PUUPalkinto 2010, and Schweighofer Prize 2011 for innovative energy facade research. Grants & Projects: Led 13 research projects including PERCO2_2023 (nuclear waste repository modeling) and CONAGE2022 (NPP concrete aging). Active in EU-funded initiatives and industry collaborations. Labs & Teams: Core member of Aalto's Structural Engineering Research Group, collaborating with Chalmers University and Technical University of Munich on advanced materials testing.
- Genetic Toxicology
- Ecotoxicology
- Marine Pollution
- +۱۲ مورد دیگر
Professor Awadhesh N. Jha is a Professor in Genetic Toxicology and Ecotoxicology at the School of Biological and Marine Sciences , University of Plymouth, UK. He has been a leading figure in environmental toxicology since joining the university in 1996, rising to full professorship in 2010. He leads the Environmental and Applied Biology Research Group and the Genetic Toxicology and Ecotoxicology Research Group, and served as REF UoA6 Coordinator (2014–2022). His educational background includes a PhD in Radiation Cytogenetics from Banaras Hindu University, India (1989), followed by post-doctoral work at Leiden University, Netherlands, and a role at ICI/Zeneca’s marine toxicology lab before transitioning to academia. Professor Jha’s research focuses on the genotoxic and ecotoxic impacts of environmental stressors such as radionuclides, engineered nanoparticles, PAHs, and emerging contaminants on aquatic organisms. He employs multidisciplinary and innovative methodologies, including in vitro models like fish cell spheroids (‘Virtual Fish’ project), to assess DNA damage, develop biomarkers, and reduce reliance on live animal testing. His work integrates molecular biology, chemistry, and environmental science to evaluate risks to marine ecosystems and human health. The recent research articles reflect a strong trend in marine pollution, radiation biology, and environmental risk assessment , with increasing emphasis on emerging issues like tritium release from nuclear facilities, AI-assisted landfill risk modeling, and sunscreen toxicity. His studies often involve international collaborations and real-world policy implications. Scientific Awards and Recognitions: Jim Parry Award, UKEMS (2021) Fellow of the Royal Society of Biology (FRSB, 2015) VC’s World Class Researcher Award Finalist (2010, 2012) Plymouth Pioneers Recognition UK Nominated Expert, UN WOA III (2023) Supervision and Grants: Professor Jha has supervised 26 PhD students to completion and mentored over 10 post-doctoral researchers. He has led major funded projects including TRANSAT (€5M, Horizon 2020), SPHERTOX , and TITANS , funded by EU, NERC, BBSRC, IAEA, and industry partners like AstraZeneca and Unilever. His work directly informs environmental policy and nuclear safety regulations. Laboratories and Teams: He leads the Genetic Toxicology and Ecotoxicology Research Group and is central to the Environmental and Applied Biology Research Group at Plymouth. His team collaborates internationally with institutions in France, Italy, Spain, Brazil, and India, and contributes to the South West Nuclear Hub. The lab specializes in advanced analytical methods, comet assays, and 3D cell culture models.
Akshaya Jhaمشاهده پروفایل
دانشیار
Akshaya Jha is an Associate Professor of Economics and Public Policy at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy , as well as a Faculty Research Fellow at the National Bureau of Economic Research (NBER) . His work combines economic modeling with causal inference to analyze energy and environmental policy impacts on electricity markets. Education: Ph.D. in Economics, Stanford University B.S. in Economics and Statistics, Carnegie Mellon University Research Interests span energy economics , environmental economics , industrial organization , and public policy , focusing on quantifying economic and environmental trade-offs in electricity supply policies. Recent work includes financial trading in California’s electricity market, Germany’s nuclear phase-out, rooftop solar growth in Western Australia, and electricity blackout determinants in India. Scientific Contributions appear in American Economic Review , Management Science , and PNAS . Article trends reveal expertise in regulatory distortions , market design , environmental externalities , and policy communication . Scientific Awards: Hicks-Tinbergen Award (best paper in Journal of the European Economic Association ) Heinz College Martcia Wade Teaching Award (2023) USAEE Young Professional Research Award (2021)
Emine Ayaz is a Professor at Istanbul Technical University's Department of Electrical Engineering. Her research spans fault detection in electric motors, signal processing, and nuclear power plant monitoring, with recent work integrating deep learning (e.g., dual RNN architectures) and medical applications (e.g., parasitology, plant-based wound healing). Key Collaborations : International partnerships in motor diagnostics and nuclear engineering. Projects : Led grants on high-voltage training and predictive maintenance for TEİAŞ and industrial processes. Research Trends : Recent publications emphasize neural networks for motor fault classification, coherence analysis for insulation diagnostics, and interdisciplinary work in plant biotechnology and parasitology. Labs & Teams : Involved in projects analyzing vibration signals, wavelet transforms, and sensor fusion for industrial and nuclear systems.
Andrew S. Whittaker is a SUNY Distinguished Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York . He serves as Director of the Institute of Bridge Engineering and Interim Director of the Stephen Still Institute for Sustainable Transportation and Logistics , both within the School of Engineering and Applied Sciences . A registered Civil and Structural Engineer in California, Whittaker specializes in structural and earthquake engineering, bridge engineering, blast and impact engineering, performance-based engineering, and nuclear structures. Research Interests: His work focuses on seismic isolation systems for nuclear reactors, fluid-structure interaction in advanced reactor vessels, gamma radiation effects on materials, and the dynamic behavior of graphite blocks in high-temperature gas reactors (HTGRs). He also explores the commodification of microreactors and soil-structure interaction for seismically isolated facilities. Scientific Awards: Distinguished Member, American Society of Civil Engineers (2025) Untermyer & Cisler Reactor Technology Medal (2023) Nathan M. Newmark Medal (2023) Fellow of multiple societies (ASCE, SEI, ACI) Awards and grants highlight his leadership in nuclear safety, seismic engineering, and reactor design.
- Fault-tolerant control of safety-critical systems
- Advanced control of nuclear power plants
- Integration of renewable energy resources in microgrids
- +۴ مورد دیگر
Jing Jiang is a Professor in the Department of Electrical and Computer Engineering at the University of Western Ontario (Western University), where he holds the NSERC/UNENE Senior Industrial Research Chair in Nuclear Instrumentation and Control since 2003. He is a registered professional engineer (P. Eng.) in Ontario and a Fellow of multiple prestigious organizations including the Canadian Academy of Engineering, IEEE, and the Engineering Institute of Canada. Dr. Jiang's research focuses on: Fault-tolerant control of safety-critical systems Advanced control of nuclear power plants Integration of renewable energy resources in microgrids Instrumentation and control systems Advanced signal processing for fault diagnosis Industrial wireless sensor networks His educational background includes a Ph.D. from the University of New Brunswick (1989), MESc. from the University of New Brunswick (1984), and BESc. from Jiaotong University in Xi'an, China (1982). Dr. Jiang has been with Western University since 1991, progressing from Assistant Professor to Full Professor in 1999. Dr. Jiang has established the Control, Instrumentation and Electrical Systems (CIES) research group and two state-of-the-art laboratories: the NPP I/C research lab and the distributed generation (DG) research lab. His research has significant industry impact, particularly in nuclear power plant instrumentation and control systems, with collaborations with the Canadian nuclear industry and the International Atomic Energy Agency (IAEA). Professional Recognition Professional Engineers Gold Medal (2025, 2021) Canadian Association for Graduate Studies Award for Outstanding Graduate Mentorship (2021) Distinguished University Professor (2018) Fellow of IEEE (2017) RBC Top 25 Canadian Immigrant Award (2016) Fellow of Canadian Academy of Engineering (2010) Dr. Jiang has served on numerous technical committees including ISA 100.11a (Wireless Systems for Automation), ISA 67 (Nuclear Power Plant Standards), and IEC SC 45A (Nuclear Instrumentation). He has been actively involved with the IAEA as an expert consultant on various nuclear-related technical matters. He leads a research team consisting of post-doctoral fellows, research engineers, and graduate students. His NPP I/C lab includes a CANDU NPP simulator, physical simulators, various control systems (ABB, Siemens, DeltaV, Honeywell), safety PLC systems, and industrial wireless sensor networks. The DG lab features a reconfigurable microgrid with renewable energy sources, energy storage devices, and advanced power electronics control systems.
Victor Becerra is a Professor of Power Systems Engineering at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering within the Faculty of Technology. He is also associated with the Centre for Environmental and Renewable Energy Solutions and the Agile Centre For Equitable Sustainability. His research focuses on advanced control systems, renewable energy integration, smart grids, battery management, and nuclear power plant control. He actively supervises PhD students in topics like optimal control of battery systems and microgrid optimization. His academic work spans over 193 publications, with recent contributions emphasizing techno-economic analysis of green hydrogen, modular energy storage solutions, and optimal control strategies for batteries and nuclear reactors. His research often addresses real-world applications such as grid flexibility at ports, peer-to-peer energy trading platforms, and drone-based inspection of offshore wind turbines. Becerra's expertise includes developing control algorithms for marine structures, sodium-cooled reactors, and unmanned aerial vehicles. He has contributed to books on solar energy engineering and applications, highlighting interdisciplinary approaches to sustainability challenges. His work integrates theoretical models with practical implementations, such as energy management systems for compressed air and advanced BMS for drones. Key themes in his research include renewable energy systems optimization, fault-tolerant control mechanisms, and adaptive control strategies for dynamic environments. He collaborates internationally, addressing global energy challenges through innovative control methodologies and sustainable technologies.
Christian Hilbes is a Lecturer at the School of Engineering of Zurich University of Applied Sciences (ZHAW). He serves as Deputy Head of the Institute for Applied Mathematics and Physics (IAMP) and co-leads the research focus on Safety-Critical Systems. Active projects include leadership roles in Autonomous Predictive Interlock Systems , Personnel Safety Systems , and Triggering Conditions for Autonomous Cars . He specializes in STPA (Systems-Theoretic Process Analysis) , UML-based modeling , and Dynamic Flowgraph Modeling for safety-critical applications. Email: christian.hilbes@zhaw.ch His research integrates safety analysis with emerging technologies like autonomous systems and nuclear facilities, contributing to publications at MIT STAMP Workshops and in journals like Nuclear Engineering and Design . He actively collaborates on European Spallation Source (ESS) safety frameworks and develops domain-specific languages for STPA.
Professor Pavel V. Tsvetkov is a faculty member at Texas A&M University , holding the rank of Professor of Nuclear Engineering and serving as the Director of the Graduate Program in Nuclear Engineering . He is also an Affiliated Faculty member of the Multidisciplinary Engineering program . His office is located in the AIEN M205B building, and he can be contacted at tsvetkov@tamu.edu . Educational Background: Ph.D. in Nuclear Engineering, Texas A&M University (2002) M.S. in Theoretical & Experimental Reactor Physics, Moscow State Engineering Physics Institute (1995) Research Interests: Professor Tsvetkov's research spans a wide range of advanced nuclear engineering topics. His primary focus includes system analysis and optimization methods , complex engineered systems , and symbiotic nuclear energy systems . He is deeply involved in waste minimization and sustainability , particularly through the development of high-temperature gas-cooled reactors (HTGRs) and molten salt reactors (MSRs) . His work also explores direct nuclear energy conversion systems and the integration of AI and deep learning into nuclear reactor control and monitoring systems. Research Trends in Publications: Over the past few years, Professor Tsvetkov has published extensively on the application of machine learning and deep learning in nuclear engineering. His recent works focus on autonomous reactor control , reactor dynamics simulation , and remote monitoring systems using satellite data and AI. He has also contributed to the design and analysis of microreactors for space applications and molten salt reactor dynamics . Scientific Awards: George Armistead, Jr ’23 Faculty Excellence Teaching Award Advising and Grants: As Director of the Graduate Program in Nuclear Engineering, Professor Tsvetkov plays a key role in mentoring and advising graduate students. While specific student names are not listed, his leadership in the program and extensive research output suggest active involvement in student research and training. Labs and Teams: Professor Tsvetkov is associated with the Nuclear Power Engineering group at Texas A&M University, contributing to both academic and applied research in nuclear systems design and safety.
- Environmental Law
- Administrative Law
- Energy Law
- +۴ مورد دیگر
Professor Satoshi Kurokawa is a full Professor of Environmental and Administrative Law in the School of Social Sciences at Waseda University, Japan. Holding Ph.D. and LL.M. degrees from Kyoto University and a B.A. in Political Science from Waseda, he has taught continuously since 1994, first at Tezukayama University and, from 2004 onward, at Waseda, where he served as Associate Professor (2003-2004) before promotion to Professor. Education: Ph.D. (Kyoto University) LL.M. (Kyoto University) Bachelor of Political Science (Waseda University) Research interests revolve around the intersection of public law and sustainability: environmental law, administrative law, energy law, climate-change policy, nuclear-risk regulation, energy justice, and the legal challenges posed by artificial-intelligence in government decision-making. His recent work pays particular attention to achieving Japan’s 2050 carbon-neutrality target through an “energy-justice” lens, examining social acceptance of high-level radioactive-waste disposal, and assessing the rule-of-law implications of algorithmic administration. Grants & projects: He currently leads a JSPS KAKENHI multi-year project (2024-2028) on “Long-Term Disaster Preparedness and Intergenerational Equity in Light of Uncertainty in Predicting Mega-Earthquakes,” and has completed earlier JSPS projects on climate policy under the Trump administration, California’s sub-national leadership, and social acceptance of geological disposal of nuclear waste. Professional memberships: Japan Public Law Association, Environmental Law Policy Association, and Japan-US Law Society. He teaches an extensive range of courses including “Environmental Law in Japan,” “Environmental Issues and Sustainable Society,” “Sustainability Study,” and “Social Science for Energy Innovation” across Waseda’s graduate and undergraduate programmes, and is concurrently affiliated with several interdisciplinary research institutes.
Bruce Stephenمشاهده پروفایل
مدرس ارشد
- Data-Driven Methods
- Power Systems
- Smart Grids
- +۱۲ مورد دیگر
Bruce Stephen is a Senior Lecturer and Strathclyde Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he has been since 1999. His work lies at the intersection of data science and power systems engineering, with a strong focus on real-world industrial applications. His educational background includes a BSc in Aeronautical Engineering from the University of Glasgow (1997), an MSc from the University of Strathclyde (1998), and a PhD in Electronic and Electrical Engineering (2005) from the University of Strathclyde. Dr. Stephen's research centers on data-driven methodologies for solving complex engineering challenges in power systems, particularly under conditions of limited data or domain knowledge. His applications span the entire energy value chain—from generation (nuclear, wind, solar) to transmission, distribution, and end-use. He develops software solutions for condition assessment, anomaly detection, and predictive modeling to support asset management and future grid planning. Notably, he co-founded Silent Herdsman Ltd, a spin-out company applying intelligent systems to precision livestock farming. His recent publications highlight a strong trend toward advanced machine learning techniques such as transfer learning, surrogate modeling, and synthetic data generation (e.g., using CTGANs) to improve reliability and decision-making in power systems. These works emphasize explainability, uncertainty quantification, and scalability, particularly in renewable-rich and data-scarce environments. Dr. Stephen is currently the Principal Investigator on the EPSRC-funded Analytical Middleware for Informed Distribution Networks (AMIDiNe) project, aiming to identify barriers to Net Zero through improved data modeling of unmonitored networks. He has also contributed to major projects including EU FP7 ORIGIN, EPSRC APAtSCHE, AGILE, and Transactive Energy Supply Arrangements. He actively advises students and collaborates on interdisciplinary research. His professional activities include organizing the QFF Quarterly Forecasting Forum (2018) and delivering invited talks at industry workshops. He has supervised datasets and research involving structural health monitoring and industrial diagnostics. His work supports UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.