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Igor PioroView profile

Professor

• Nuclear engineering
• Thermalhydraulics of nuclear reactors
• Generation IV nuclear-reactor concepts
• +7 more

Igor Pioro is a distinguished Professor in the Department of Energy and Nuclear Engineering at Ontario Tech University's Faculty of Engineering and Applied Science. He serves as the Founding Editor (2014) and Editor-in-Chief (2014-2024) of the ASME Journal of Nuclear Engineering & Radiation Science. His academic position places him at the forefront of nuclear engineering research and education, with particular focus on thermalhydraulics and advanced reactor concepts. Dr. Pioro's educational background includes a Doctor of Technical Sciences (1992) and PhD (1983) from the Institute of Engineering Thermal Physics, National Academy of Sciences in Kiev, Ukraine, and a Master of Applied Science in Thermal Physics with Diploma of Honour (1979) from Kiev Polytechnic Institute (now National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"). In 2013, he was awarded an Honorary Doctor's Degree from the National Technical University of Ukraine "Kiev Polytechnic Institute". His research focuses on three primary areas: Nuclear engineering (thermalhydraulics of nuclear reactors and Generation IV nuclear-reactor concepts), Thermal Sciences (boiling, forced convection including supercritical pressures), and Heat Engineering (heat exchangers, two-phase thermosyphons, heat-recovery systems). His work has significantly contributed to understanding heat transfer phenomena at supercritical pressures, which is critical for next-generation nuclear reactor designs. Analysis of Dr. Pioro's publication record reveals a strong emphasis on nuclear power systems, thermalhydraulics, and energy sustainability. His recent work (2023-2024) shows an expanded focus on renewable energy integration and broader energy system analysis, while maintaining his core expertise in nuclear thermalhydraulics and reactor design. The publications demonstrate a consistent trajectory from fundamental heat transfer research to applied nuclear engineering and broader energy system analysis. Dr. Pioro's scientific recognition includes numerous prestigious awards and fellowships: Fellow of Canadian Academy of Engineering (CAE) since 2023 Foreign Fellow of National Academy of Sciences of Ukraine (NASU) since 2021 Fellow of Canadian Society of Mechanical Engineers (CSME) since 2015 Fellow of Engineering Institute of Canada (EIC) since 2013 Fellow of American Society of Mechanical Engineers (ASME) since 2012 Harold A. Smith Outstanding Contribution Award from CNS (2017) Medal 60-th Anniversary of NED (ASME) (2016) Canadian Nuclear Society Education and Communication Award (2011) Ontario Tech University Research Excellence Award - Senior Category (2011) Throughout his career, Dr. Pioro has been actively involved in numerous international conferences, serving in leadership roles including as General Conference Chair for ICONE20-POWER2012. His editorial leadership of the ASME Journal of Nuclear Engineering & Radiation Science has significantly advanced the field's scholarly communication. His research has been supported through various grants and collaborations with international organizations including the IAEA. Dr. Pioro works within the Energy Systems and Nuclear Science Research Centre (ERC) at Ontario Tech University, where he maintains laboratory facilities for thermalhydraulic experiments. His team has conducted extensive research on supercritical water heat transfer phenomena, which has direct applications to Generation IV nuclear reactor designs, particularly Supercritical Water-cooled Reactors (SCWRs).

Berker BilginView profile

Assistant Professor

• Electric Machines
• Power Electronics
• Energy Conversion Systems
• +4 more

Dr. Berker Bilgin is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on next-generation electric motor drive technologies, including acoustic noise reduction, power electronics, and sustainable electrification. He leads projects sponsored by Fiat Chrysler Automobiles (FCA) and Automotive Partnership Canada (APC), and co-founded a university spin-off company. He teaches courses such as Electric Motor Drives and Switched Reluctance Machine Design. Research Focus: Electric motor drives (46% of global electricity demand), hybrid-electric powertrains, and transportation electrification. His work emphasizes high-efficiency, low-cost solutions and acoustic noise modeling for high-power-density applications like traction motors. He has 10 patents and authored a textbook on Switched Reluctance Motor Drives. Publications Trends: Recent work spans advanced motor designs, acoustic noise mitigation, and thermal/structural modeling of electric machines. Key themes include switched reluctance motor optimization, PWM control strategies, and multi-physics design approaches. Awards: Patented inventions in switched reluctance technology, textbook authorship Grants: FCA/APC-funded hybrid-electric powertrain development Labs/Teams: McMaster University spin-off company for technology commercialization

Jovica MilanovicView profile

Professor

• Power System Dynamics
• Power Quality
• Probabilistic Modeling
• +4 more

Jovica Milanovic is a Professor in the School of Electrical and Electronic Engineering at the University of Manchester, where he leads the Electrical Energy and Power Systems research group. He holds a Dipl.Ing. and MSc in Electrical Engineering from the University of Belgrade, a PhD from the University of Newcastle, and a DSc from the University of Manchester. With over 600 publications, his research focuses on probabilistic modeling of power systems, renewable integration, and power quality. Research Expertise: Probabilistic assessment of uncertain power systems Machine learning applications for grid stability Demand side management in low-carbon networks Global power quality monitoring frameworks Awards & Leadership: FIEEE, FIET, and IEEE PES Distinguished Lecturer Editor-in-Chief of IEEE Transactions on Power Systems Chair of multiple international conferences including PowerTech 2017 Recipient of the Verriest Medal for contributions to power systems

Chao LiView profile

Research Fellow

• Artificial Intelligence in Healthcare
• Medical Imaging
• Precision Medicine
• +3 more

Chao Li is a Principal Research Fellow at the University of Cambridge's Faculty of Mathematics, specializing in AI-driven healthcare solutions. His research focuses on precision medicine through image-based AI and multi-omics integration, with applications in neurological disease modeling, surgical oncology, and clinical AI safety. He leads the Centre for Mathematical Imaging in Healthcare , advancing translational AI for personalized medicine. Research Themes: Image-based AI for precision mental health AI in surgical and interventional oncology Multi-omics approaches for disease characterization Evaluation of AI innovations for clinical translation Publications highlight advancements in multimodal fusion for diagnostics, histology-molecular marker integration, and neuroimaging analytics for mental health. His work bridges computational mathematics with clinical challenges, emphasizing real-world healthcare impact. Labs/Teams: Active member of the Centre for Mathematical Imaging in Healthcare , collaborating across departments to develop AI tools for clinical deployment.

• Renewable Energy
• Fluid Dynamics
• Turbine Design
• +3 more

Christopher Vogel is a Research Fellow at New College and a Senior Research Associate in the Department of Engineering Science at the University of Oxford. He holds a first-class BE(Hons) in Engineering Science from the University of Auckland and completed his DPhil at Oxford under the Oxford Martin School’s Programme on Globalising Tidal Power Generation. His work focuses on advancing renewable energy technologies, particularly in tidal and wind energy systems. His research interests include fluid dynamics of tidal turbines, aerodynamic performance optimization, blade design under erosion, and large-scale renewable energy array modeling. He has contributed to projects like the Tidal Energy Research Group and the FastBlade facility for full-scale tidal blade testing. Vogel’s work integrates computational fluid dynamics (CFD), experimental testing, and multi-scale analytical models to address challenges in energy extraction efficiency, structural durability, and system reliability. Recent publications highlight advancements in actuator line methods for turbine wake prediction, uncertainty quantification in blade-element momentum theory, and dynamic loading analysis of tidal arrays. His studies often bridge theory and application, emphasizing practical solutions for marine and wind energy deployments. Collaborations include the Tidal Benchmarking Project and investigations into hybrid systems combining wave energy converters with breakwaters. Vogel’s interdisciplinary approach addresses both technical and environmental dimensions of sustainable energy systems.

Owen WilliamsView profile

Academic

• Fluid Mechanics
• Turbulence
• Hypersonics
• +5 more

Owen Williams is a Research Associate Professor in the William E. Boeing Department of Aeronautics and Astronautics at the University of Washington, with a focus on turbulent and hypersonic flows. He holds a PhD from Princeton University and an MEng from Imperial College, London. His research explores unsteady turbulent flows, hypersonic boundary layers, and renewable energy systems like rotating foils for hydrokinetic power generation. Dr. Williams has held prior positions, including Research Associate at the University of Maryland. His work addresses challenges in compressible turbulence, shock interactions, and flow separation dynamics. He leads the Williams Lab, which investigates turbulence modeling, flow control, and aerospace applications. Recent student achievements include Kevin Manohar's Herbold Fellowship and Abigale Snortland's graduation to PNNL. Research Interests: Fluid mechanics, turbulence dynamics, hypersonic flow physics, stratified atmospheric flows, and renewable energy systems. His lab focuses on improving predictive models for vehicular and environmental flows through experimental and computational methods. Recent Contributions: Studies on asymmetric flow phenomena, cross-flow turbine performance optimization, and supersonic retropropulsion. His work bridges fundamental turbulence studies with practical applications in aerospace and energy sectors. Lab Activities: Active in mentoring students and overseeing projects like the Pacific Marine Energy Center. Lab members have presented at SHARC Week and Space Grant's SURP program, showcasing innovations in hypersonic testing and turbine design.

• Power Electronics
• Power Semiconductor Devices
• Wide Bandgap Materials (GaN, SiC)
• +3 more

Professor Shankar N Ekkanath Madathil is a Chair in Power Electronic Systems at the University of Sheffield's School of Electrical and Electronic Engineering. He holds a PhD from the University of Cambridge and has over three decades of expertise in power semiconductor devices, wide bandgap materials (GaN, SiC), and high voltage technologies. His research focuses on innovative device solutions like clustered IGBTs, polarization superjunction structures, and GaN-based power electronics. He has led projects funded by Rolls-Royce, the Royal Academy of Engineering, and the Royal Society, and is a Fellow of IET and IOP. His contributions include groundbreaking work on GaN 2D hole gas, superjunction technologies, and power integrated circuits. Education: PhD (Engineering), University of Cambridge, 1992 MTech (Physical Engineering), Indian Institute of Science, Bangalore, 1986 MSc (Applied Sciences), PSG College of Technology, India, 1984 BSc (Applied Sciences), PSG College of Technology, India, 1982 Research Interests: Power semiconductor devices, wide bandgap semiconductors, high power density converters, SiC and GaN technologies, and nanotechnologies in power electronics. His work emphasizes high-voltage device design, dynamic performance optimization, and industry partnerships for technology transfer. Publications: Over 150 peer-reviewed articles in journals like IEEE Transactions on Electron Devices, IET Power Electronics, and Japanese Journal of Applied Physics, focusing on GaN/SiC devices, superjunction structures, and power electronics applications. Recent work includes advancements in polarization superjunction HFETs and hybrid power switches. Awards: Royal Academy of Engineering Research Professor (2007-2012) Royal Society Industry Fellow of Rolls-Royce (2013-2017) Fellow of IET and IOP Grants & Collaborations: Led projects transferring power device technologies to industry, including Rolls-Royce collaborations. Current collaborations include Kyushu University (Japan) under a JSPS Invitation Fellowship. Labs & Affiliations: Leads the Electrical Machines and Drives Research Group at Sheffield and is a Visiting Professor at IIT Bombay. Editor of IEEE Transactions on Electron Devices and associated editor of IET Journal of Power Electronics.

• Physical Chemistry
• Materials Science
• Organic Semiconductors
• +5 more

Christian Müller is a Professor at Chalmers University of Technology since 2017, following roles as Assistant and Associate Professor there from 2012. He holds a Dr.Sc. in Materials Science from ETH Zurich (2008) and degrees from Cambridge University. His research focuses on physical chemistry of organic semiconductors, polymer blends, and composites, with applications in wearable electronics and energy technologies like organic solar cells and thermoelectrics. He leads a group developing novel materials for high-voltage insulation, plasmonic sensors, and sustainable energy solutions. Notable achievements include ERC Consolidator (2022) and Starting Grants (2014), SSF Future Research Leader (2016), and Wallenberg Scholar status (2021). Müller has authored over 180 papers and 3 book chapters, with 20+ patents. His work bridges fundamental material science and applied technologies, emphasizing conductivity, thermal stability, and functionalization. Recent articles highlight advances in organic solar cell stability, thermoelectric textiles, and high-voltage insulation materials. His research integrates computational methods (e.g., Bayesian modeling for glass formation) with experimental techniques (e.g., nanoindentation for elastic modulus analysis). Awards: ERC Grants, Wallenberg Scholar, SSF Leadership Patents: Over 20 inventions in polymer composites and energy materials Grants: Focus on sustainable energy systems and material innovation Labs/Teams: Active in Chalmers’ materials science groups, collaborating globally on organic electronics and thermoelectric textiles.

Hantao CuiView profile

Associate Professor

• Power Electronics
• Renewable Energy Systems
• Power System Simulation
• +3 more

Hantao Cui is an Associate Professor in the Department of Electrical and Computer Engineering at NC State University. He previously served as an Assistant Professor at Oklahoma State University (2021–2024) and earned his Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2018). His research focuses on applying mathematical and computational methods to model, simulate, and analyze modern power systems, particularly those dominated by renewable energy sources and inverter-based technologies. He is the author of the ANDES simulation tool and a recipient of the NSF CAREER Award (2024) and the 2020 R&D 100 Award for his work on the CURENT Large-Scale Testbed. His expertise spans power electronics, grid stability, and cyber-physical system integration. Education: Ph.D. in Electrical Engineering, University of Tennessee, Knoxville (2018) M.S. in Electrical Engineering, Southeast University, China (2013) B.S. in Electrical Engineering, Southeast University, China (2011) Research Interests: Large-scale power system simulation and modeling Inverter-based resource control and grid stability Renewable energy integration and optimization Cyber-physical system testbed development Open-source software tools for power systems analysis Key Contributions: Developed ANDES, an open-source framework for power systems modeling Advanced virtual inertia scheduling (VIS) techniques for microgrids Pioneered data-driven adaptive control strategies for grid-forming inverters Awards & Honors: NSF CAREER Award (2024) R&D 100 Award (2020) Best Paper Award at IEEE PES General Meeting (2022) Senior Member of IEEE (2020) Grants & Labs: Principal Investigator for NSF-funded research on inverter-based grid stability Core contributor to the CURENT Large-Scale Testbed project

• Power Systems
• Renewable Energy
• Power Electronics
• +4 more

YuAnn Li is an Assistant Professor in the Department of Electrical Engineering at the University of Pittsburgh, affiliated with the Swanson School of Engineering. Previously, she held academic positions at FAMU–FSU College of Engineering (2019–2024) and Sichuan University (2009–2018). She earned her B.S., M.S., and Ph.D. in Electrical Engineering from Wuhan University in 2003, 2006, and 2009, respectively. Her research focuses on power systems, renewable energy integration, power electronics, and grid modernization. Notable contributions include advancements in inverter technology, hybrid circuit breakers, and grid stability solutions. Her work bridges theoretical power analysis (e.g., spacetime pq theory) with practical applications like solar forecasting and fault current management. Publications span key journals such as IEEE Transactions on Power Electronics and IEEE Journal of Emerging Topics in Power Electronics. Her research emphasizes grid resilience through energy storage systems and smart grid innovations. No scientific awards are explicitly mentioned. Her advising and grants sections remain unspecified in available texts. She is active in lab and team collaborations within power systems and energy electronics domains.

Agathoklis GiaralisView profile

Senior Lecturer

• Structural Dynamics
• Earthquake Engineering
• Structural Health Monitoring
• +11 more

Dr. Agathoklis Giaralis is a Senior Lecturer in Structural Engineering within the Department of Civil Engineering at the School of Engineering and Mathematical Sciences, City, University of London. He earned his PhD in Civil & Environmental Engineering from Rice University, USA, in 2008, following an MSc and a 5-year Diploma (Ptychion) in Structural Engineering from Aristotle University of Thessaloniki, Greece. He is a Fellow of the Higher Education Academy, UK. PhD, Civil & Environmental Engineering, Rice University, USA (2008) MSc, Seismic Design of Structures, Aristotle University of Thessaloniki, Greece (2004) Ptychion (5 yr Diploma), Civil/Structural Engineering, Aristotle University of Thessaloniki, Greece (2003) Dr. Giaralis's research is centered on nonlinear stochastic dynamics and time-frequency signal analysis , applied to critical areas such as earthquake engineering , seismic structural design and assessment , structural health monitoring (SHM) , and passive vibration control . His work is pioneering in the development and application of inerter-based vibration control systems, such as the Tuned Mass-Damper-Inerter (TMDI), for enhancing the resilience of structures. He also explores compressive sensing and low-power wireless sensors for sustainable SHM, as well as digital twinning and machine learning in wind engineering. His recent research has significant implications for offshore wind turbines and urban wind comfort. An analysis of his 15 most recent publications reveals a consistent and cutting-edge research trajectory focused on the optimization and application of inerter-based devices for structural control. The work spans from developing analytical tuning formulas for TMDIs to conducting experimental validation on shaking tables and exploring novel applications in offshore wind turbines and composite floors. A strong emphasis is placed on performance-based design , uncertainty quantification , and practical implementation for real-world infrastructure. His scientific contributions have been recognized by prestigious awards, including the Fulbright Exchange Student Program scholarship for his PhD studies and a Fellowship from the Higher Education Academy . He is also a member of several leading professional organizations such as the American Society of Civil Engineers (ASCE) and the Society for Earthquake and Civil Engineering Dynamics (SECED). Dr. Giaralis is actively involved in research funding and academic mentorship. He has secured significant grants from Innovate UK and the EPSRC to support his work on machine learning-based design and optimal inerter configurations. He supervises a cohort of PhD students whose theses focus on advanced topics like adaptive control of bridge joints, inerter-based energy harvesting, and seismic assessment using digital twins. He also leads the Smart Structures and Structural Health Monitoring Research Unit , driving collaborative research in smart infrastructure technologies.

• Performance evaluation of networks
• Wireless networks
• Internet of Things (IoT)
• +12 more

Katia Jaffres-Runser is a full Professor at Institut National Polytechnique de Toulouse (Toulouse INP) , affiliated with the ENSEEIHT engineering school and the IRIT laboratory , where she leads the RMESS team. She holds a PhD from INSA Lyon and completed a prestigious Marie Curie postdoctoral fellowship at Stevens Institute of Technology and INSA Lyon. PhD : Institut des Sciences Appliquées de Lyon (INSA Lyon), 2005 M.Sc. : INSA Lyon, 2002 Diplôme d’Ingénieur en Télécommunications : INSA Lyon, 2002 Her research centers on performance evaluation and optimization of networks , particularly in wireless sensor networks, IoT, embedded systems, and complex networks. She applies advanced techniques like Google Matrix analysis, game theory, and deep reinforcement learning to improve network reliability, synchronization, and efficiency. Her work spans theoretical modeling and practical implementations in avionics, automotive, and industrial systems. Her recent publications highlight a strong trend in time-sensitive networking (TSN) , network synchronization , AI-driven optimization , and complex network analysis using Wikipedia and trade data. She has led major projects like MACACO, GOIA, and the Maison du Quantique Occitanie, focusing on real-time, reliable, and intelligent networking solutions. Scientific Awards: Best Paper Award on Propagation, IEE International Conference on Antennas and Propagation, 2003 STIC Innovation Prize, 2005 Marie Curie Outgoing International Fellowship, 2007–2010 Prime d'Excellence Scientifique (2013–2016) PEDR (2017–2021) RIPEC C3 (2022–2025) She has advised PhD students and contributed to national and international scientific service, including committee memberships in CoNRS , HCERES , and ACM N²Women . She has served on award juries and grant review panels. Her leadership extends to being Vice-President for Education at Toulouse INP (2021–2024) and Team Leader of RMESS at IRIT (since 2024) . She is actively involved in research labs and collaborative teams such as: RMESS Team , IRIT Laboratory – leading research on network modeling and embedded systems MACACO Project – international collaboration on adaptive communication networks GOIA and APPLIGOOGLE Projects – applying Google Matrix to AI and complex networks IRT EDEN – evaluating determinism in embedded networking

Prabhakara AkarshView profile

Assistant Professor

• Wireless Systems
• Cyber-Physical Systems
• Machine Learning for RF
• +6 more

Akarsh Prabhakara is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin–Madison, with an additional affiliation in the Department of Electrical and Computer Engineering. He earned his Ph.D. from Carnegie Mellon University in 2024, where he worked under Professors Anthony Rowe and Swarun Kumar. Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2024 B.Tech, Electronics and Communication Engineering, National Institute of Technology Karnataka, 2018 His research focuses on building high-fidelity wireless systems for perception and communication, particularly in cyber-physical and robotic applications. He explores machine learning-driven RF systems, novel communication paradigms, wireless-robotics integration, and embedded wireless sensing. His work aims to enable robust perception in challenging environments such as smoke or fog using millimeter wave radar and deep learning. His recent publications in CVPR, ICRA, MobiCom, and ICCV demonstrate a strong trend in using neural methods for radar simulation, super-resolution, and wireless intelligence. Key themes include implicit neural rendering for radar, end-to-end learning for perception, and high-resolution point cloud generation from low-cost sensors. His scientific contributions have been recognized through publications in top-tier venues, though specific awards are not mentioned in the provided text. He is actively involved in mentoring and recruiting students for research in wireless and robotics. He teaches courses such as Intro to Computer Networks and Big Ideas in Wireless: Perception and Communication . He leads research projects like RadarHD, which enables lidar-like perception from mmWave radar, and is developing tools and datasets for community use. His lab emphasizes practical, real-world applications of wireless systems in robotics and autonomous systems.

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +6 more

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

Daniel SaabView profile

Associate Professor

• Computer Architecture
• VLSI System Design
• CAD Design Automation
• +3 more

Daniel Saab is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on computer architecture, VLSI system design, CAD design automation, and MEMS/NEMS-based technologies. He holds a PhD from the University of Illinois at Urbana-Champaign (1988), following a Master of Science (1985) and Bachelor of Science (1983) in the same field. His work emphasizes ultra-low-power and high-speed electronic systems, particularly leveraging nanoelectromechanical systems (NEMS) and MEMS technologies. Key contributions include MEMS-based logic gates for radiation-resistant processors, ultra-fast 1 GHz NEMS switches, and hybrid CNEMS-CMOS FPGA architectures. His research also addresses hardware security, such as Trojan modeling and verification methods for integrated circuits. Publications span conferences like IEEE SENSORS, TRANSDUCERS, and International Symposium on Quality Electronic Design, with a focus on advancing low-power circuits, nanotechnology integration, and high-reliability electronics. Current affiliations include teaching and research leadership at Case School of Engineering.