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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.

• Numerical Methods
• Computational Engineering
• Multiphysics Simulation Techniques
• +2 more

Prof. Thomas Weiland is a Full Professor of Computational Electromagnetics at the Technische Universität Darmstadt since 1989. His research focuses on numerical methods, computational engineering, and multiphysics simulation techniques, particularly in accelerator physics and beam dynamics. He holds a Dr.-Ing. from TU Darmstadt and has held postdoctoral and research positions at CERN and TU Darmstadt. His work includes pioneering contributions to electromagnetic field simulations, including advanced finite element methods, discontinuous Galerkin techniques, and boundary element approaches. Education highlights include his Diplom in Electrical Engineering from TU Darmstadt (1975) and a Habilitation in Experimental Physics from the University of Hamburg (1984). His research spans computational electromagnetics, accelerator physics, and numerical methods for electromagnetic field problems. Notable areas of innovation include transparent boundary conditions, eigenmode calculations, and high-performance simulation frameworks for rotating systems and particle accelerators. His publications emphasize advancements in electromagnetic simulation tools, such as the MagPEEC method and Trefftz-discontinuous Galerkin approaches. Collaborative projects include modeling RF photoinjectors for light sources and electrohydrodynamic droplet dynamics. Technical contributions also extend to wake field analysis in particle accelerators and SAR distribution studies in bioelectromagnetics. Research interests further include multiphysics coupling (thermal-electromagnetic effects in surge arresters), stochastic modeling of electromagnetic systems, and field-circuit co-simulation techniques. His work addresses challenges in large-scale eigenvalue problems, adaptive mesh optimization, and high-precision numerical methods for complex geometries.

Stanko StankovView profile

Researcher

• Industrial Automation
• Process Control
• SCADA Systems
• +7 more

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Wenbo DuanView profile

Senior Lecturer

• Ultrasonic Non-Destructive Testing
• Guided Wave Defect Detection
• Finite/Spectral Element Modeling
• +6 more

Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.

Yichuang SunView profile

Professor

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +7 more

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

• Electric Vehicles
• Power Electronics
• Battery Systems
• +4 more

Overview Mohamed El Baghdadi is a postdoctoral researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel. His work focuses on advanced power electronics for electric vehicles, thermal management systems, and sustainable energy integration. He has led over 30 projects since 2014, including high-profile initiatives like GEARING MOBI and DESTINY. Research Interests His research spans: Electric vehicle powertrains and charging infrastructure SiC/GaN semiconductor cooling solutions Digital twin modeling for power electronics Fuel cell vehicle optimization Thermal management of high-power inverters Key Contributions Recent work includes groundbreaking advancements in: 6-phase motor drive systems Additive-manufactured cooling structures Multiport DC charging strategies Fuel cell coach powertrain design Awards Awarded the Best Paper Award (2024) and WEVJ BEST PAPER AWARD (2021) for contributions to electric vehicle technologies. Collaborations Active collaborations with industry leaders on EU-funded projects like GIANTS and SOCMAAK39, focusing on decarbonization and electromobility innovations.

Emily BerglundView profile

Professor

• Water Resources Engineering
• Socio-Technical Systems
• Agent-Based Modeling
• +3 more

Emily Berglund is a Professor and Associate Head for Faculty Development in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. She holds a Ph.D. (2005), M.S., and B.S. in Civil Engineering from North Carolina State University and the University of Kentucky, respectively. Her research focuses on geospatial analytics, agent-based modeling of socio-technical systems, and optimizing infrastructure resilience, particularly in water resources and solar power systems. Her work integrates complex adaptive systems modeling with engineering approaches to address challenges in water management, including lead contamination, dynamic pricing, and pandemic-related demand shifts. She has led projects funded by the EPA, NSF, and others, totaling over $2 million. Notable achievements include developing frameworks for lead risk prediction and citizen science initiatives to address environmental disparities. Dr. Berglund’s publications span journals like Proceedings of the National Academy of Sciences and Water Resources Research , emphasizing equity in sustainability science and socio-technical system dynamics. She mentors students on technology adoption and infrastructure resilience, advocating for interdisciplinary solutions to global water challenges. Education: Ph.D./M.S. Civil Engineering (NC State), B.S. Civil Engineering (University of Kentucky) Grants: Includes $1.2M for pandemic water system modeling and $540K for consumer-centric lead detection Labs/Teams: Active in the Fitts-Woolard Hall research group and collaborates on initiatives like Crowd the Tap citizen science

Thor Inge FossenView profile

Professor

• Marine craft hydrodynamics
• Motion control systems
• Navigation systems
• +7 more

Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +7 more

Ian Norheim is an Associate Professor in the Department of Electrical Energy at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic and professional journey spans research, industry, and academia, with a focus on electrical energy systems and renewable integration. Ph.D. in Electrical Engineering, NTNU (2002) M.Sc. in Electrical Engineering, NTNU (1997) His research interests lie in the domain of modern power systems, particularly renewable energy integration, microgrids, voltage stability, and distributed energy resources. His recent publications emphasize multi-energy systems and the technical challenges of integrating wind power into existing grids. The trend in his publications shows a consistent focus on electrical energy systems, starting with wind power integration and reserve assessment in 2008, moving to voltage optimization in distribution networks in 2018, and culminating in a comprehensive 2025 review on multi-energy microgrid design. These works reflect a deep engagement with sustainable energy transition, system modeling, and grid resilience. No scientific awards are mentioned in the available text. Ian Norheim has supervised bachelor's theses and teaches key courses in power electronics, electrical machines, high-voltage systems, and power system stability. While formal graduate advisees are not listed, his involvement in research and education suggests an active role in student mentorship. There is no mention of specific grants, but his publications indicate sustained research activity. He is affiliated with NTNU’s Department of Electrical Energy and conducts research in power system modeling and renewable integration. His work contributes to the development of resilient and sustainable energy infrastructure.

Stefan Kragh NielsenView profile

Professor

• Plasma Physics
• Fusion Energy
• Collective Thomson Scattering
• +7 more

Stefan Kragh Nielsen is a Professor and Section Leader in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is actively involved in experimental and theoretical research related to fusion plasma diagnostics, particularly collective Thomson scattering and microwave-based measurements in tokamak devices such as ASDEX Upgrade and Wendelstein 7-X. His research interests include: Plasma Physics and Fusion Energy Collective Thomson Scattering Fast Ion Dynamics Electron Cyclotron Resonance Heating Parametric Instabilities Microwave Diagnostics The recent publications highlight a strong focus on advanced diagnostics, nonlinear wave interactions, and fast ion behavior in fusion plasmas. His work spans theoretical modeling, experimental validation, and instrumentation development, particularly in high-frequency microwave systems for continuous plasma monitoring. Trends show increasing emphasis on reduced modeling techniques and real-time diagnostic capabilities for next-generation fusion reactors. Scientific contributions include: Development of ultrafast digitizers for microwave diagnostics Commissioning of 174 GHz CTS systems at W7-X Modeling of metaplectic geometrical optics for plasma waves Investigation of parametric decay in gyrotron beams He actively supervises multiple PhD students on topics such as non-linear processes in electron Bernstein wave heating, ion dynamics via CTS, and parametric decay instabilities in spherical tokamaks. His projects are well-funded and aligned with international fusion research goals. He has collaborated extensively with major fusion facilities including ASDEX Upgrade, Wendelstein 7-X, and JET. No formal awards are listed in the provided text. He leads a research team focused on advancing plasma diagnostic capabilities for future fusion reactors.

Gerald EnglmairView profile

Associate Professor

• Thermal Energy Storage
• Phase Change Materials
• Flexible Heating and Cooling Systems
• +12 more

Gerald Englmair is an Associate Professor in the Section of Energy and Services within the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). He leads research and teaching initiatives in thermal energy storage, flexible heating and cooling systems, and solar energy integration at DTU campuses in Lyngby and Sisimiut. He actively contributes to international energy research collaborations, including EU-funded projects and IEA tasks. His research focuses on the experimental development, testing, and demonstration of thermal energy storage technologies, particularly those based on phase change materials (PCM) and supercooled sodium acetate trihydrate. His work enables compact, decentralized, and efficient energy storage solutions that support energy flexibility and sustainability. The recent publications highlight a strong trend in advancing the stability, performance, and real-world integration of thermal storage systems. Key areas include discharging dynamics, material degradation, and application in buildings and data centers. His research bridges engineering science with practical implementation in energy systems. Kalundborg Refinery Prize (2024) PhD Paper of the Year 2018 Innovation Award by FH Upper Austria (2015) Gerald Englmair has led multiple research projects, including EU-CETP “La-Flex”, EU "TREASURE", and IEA SHC Task 67/ES Task 40, where he serves as subtask lead and national coordinator for Denmark. He is also vice chair of the thermal energy storage working group at DaCES. His advisory roles include consultancy for public sector and international projects like STES4D in Spain. He mentors students and collaborates widely across Europe and China. He is actively involved in research networks, public outreach, and educational initiatives, including guest lectures, media appearances, and scientific advisory roles. His laboratory work focuses on experimental validation of thermal storage units and their integration into real-world energy systems.

• Marine Renewable Energy
• Offshore Engineering
• Fluid-Structure Interaction
• +5 more

Giuseppe Giorgi is a fixed-term researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino. He serves as Scientific Coordinator for multiple EU-funded projects including MERMAIDS, BLUE-X, and AIMS, and leads commercial research contracts for offshore wind microclimate studies. Research focuses on hybrid offshore platforms integrating Floating Offshore Wind Turbines (FOWTs) with Wave Energy Converters (WECs) Expertise in nonlinear hydrodynamics , fluid-structure interaction , and experimental validation through lab tests and sea trials Research Interests : Marine Renewable Energy Systems Nonlinear Dynamic Modeling Mechanical and Techno-Economic Optimization Hybrid Wind-Wave Energy Platforms Parametric Resonance Energy Harvesters Scientific Achievements : 2022: IFAC CAMS Best Paper Award 2022: Institution of Civil Engineers - Baker Medal 2022: AIMETA Junior Mechanics of Machines Award 2023: IFToMM Bronze Best Student Paper Award Academic Leadership includes supervising 6 PhD students and teaching Numerical Modeling of Marine Energy Converters (PhD level). His 15 most recent publications focus on wave energy converter optimization, floating wind turbine dynamics, and hybrid offshore energy systems with applications in the Mediterranean Sea and North Sea.

• Computer Science
• Virtual Reality
• Character Animation
• +6 more

Núria Pelechano Gómez is a Professor at the Universitat Politècnica de Catalunya (BarcelonaTech) , affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Science (CS) . Her work focuses on Virtual Reality , Crowd Simulation , and Character Animation , with a particular emphasis on immersive environments and user interaction. Education: Master's Degree in Innovation and Research in Computer Science (2012) Degree in Computer Engineering (2010) Master's Degree in Computing (2006) Her research explores the integration of Virtual Reality with Artificial Intelligence to enhance user experiences through dynamic crowd modeling, realistic animations, and adaptive navigation techniques. Recent projects highlight her expertise in Motion Matching , Immersive Simulation , and Physics-Based Animation . Key trends in her publications include: Advancements in Virtual Environments and 3D Modeling . Applications of Machine Learning in Navigation Interfaces . Development of Realistic Crowd Behavior and Social Interaction Systems in VR. Focus on User-Centric Design and Embodiment Techniques . Núria has supervised numerous students on topics ranging from Emergency Scenario Modeling to MR Application Development for immersive systems, contributing to the evolution of Immersive Simulation and Game Development methodologies.