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Sampo Laine is a Visiting Professor at the Department of Energy and Mechanical Engineering at Aalto University, with affiliations in Mechatronics. His expertise focuses on vibration analysis, rotordynamics, and powertrain systems, contributing to the UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG 9). He holds a Doctor of Science (Tech) in Mechanical Engineering (2025), a Master of Engineering (2021), and a Bachelor of Engineering (2020), all from Aalto University. His research explores lateral and torsional vibrations in rotating machinery, electromagnetic influences on torsional systems, and vibration mitigation through active control strategies. Notable contributions include the OpenTorsion Python library for torsional vibration analysis and studies on semi-active foundation stiffness control in rotor systems. His work bridges mechanical design, digital twin technology, and collaborative engineering practices. Laine’s publications span topics such as wire rope isolators, aerostatic measurement systems, and dynamic modeling of coupled electromechanical systems. His research emphasizes practical applications in industrial machinery, automotive powertrains, and manufacturing processes. Collaborations have addressed challenges in winder dynamics, paperboard quality assessment, and roll geometry optimization. No scientific awards are explicitly listed in the provided materials. His advising and grants focus on doctoral research in mechanical systems, with a recent doctoral thesis titled Lateral and torsional vibrations in variable speed rotating machinery (2025). He is affiliated with Aalto’s Mechatronics and Energy Engineering research groups, contributing to interdisciplinary projects in vibration analysis and automated design methodologies.

• Mechanical Engineering
• Vibration Analysis
• Rotordynamics
• +3 more

Dr. Edmund Spencer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , with research focused on space plasma physics and space weather . He designs advanced instruments for space science, develops theoretical frameworks for plasma characterization, and applies stochastic optimization algorithms to complex systems. Ph.D. Electrical and Computer Engineering, University of Texas at Austin M.S. Electrical and Computer Engineering, University of Texas at Austin B.S. Electrical and Electronics Engineering, University of Leicester, UK His work bridges space instrumentation with nonlinear magnetospheric dynamics , particularly in geomagnetic substorms and solar wind-earth magnetosphere interactions . Current projects include onboard space weather modules for satellites and advanced antenna systems for CubeSats . Recent research trends from his 15 most recent publications (2019-2025) include: Development of time-domain impedance probes for ionospheric electron density measurements Applications of machine learning in substorm prediction Hybrid physics-black-box modeling for Dst index forecasting Advanced antenna designs for small satellites 3D Particle-in-Cell simulations for RF instruments Collisional effects in plasma probe measurements Scientific contributions include: NSF CAREER Award (2013) for RF impedance probe development Key role in NASA's USIP CubeSat missions (e.g., JAGSAT I) Leveraging WINDMI model for substorm dynamics analysis He teaches graduate and undergraduate courses in electromagnetics and stochastic processes , contributing to the department's space science integration in engineering education.

• Space Plasma Physics
• Space Weather
• Radio Frequency Instrumentation
• +3 more

Prof. Heyno Garbe is a faculty member in the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, affiliated with the Institute for Fundamentals of Electrical Engineering and Measurement Technology . His research focuses on electromagnetic compatibility (EMC), transient signal analysis, and measurement techniques. He leads projects on TEM cells, wind turbine electromagnetic emissions, and system vulnerability against intentional electromagnetic interference (IEMI). Key research interests include: Development and validation of test methods for EMC standards Coupling mechanisms of transient electromagnetic fields Electromagnetic interference in critical infrastructure and wireless systems Recent work explores: Field inhomogeneity in TEM cells Influence of wind turbines on navigation systems Risk analysis of IEMI threats using fuzzy-logic approaches He collaborates with industry and EU projects, such as the STRUCTURES initiative for critical infrastructure assessment. His lab develops test rigs for unmanned aerial vehicle (UAV) susceptibility testing and advanced measurement setups for transient signal characterization.

• Electromagnetic Compatibility
• Electromagnetic Interference
• Electromagnetic Field Theory
• +3 more

James Gross is a Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, Stockholm. He leads research in mobile systems and networks, with a focus on 5G/6G, edge computing, and performance evaluation. He is Associate Director of KTH's Digital Futures center and a board member of the Innovative Centre for Embedded Systems. Previously, he directed the ACCESS Linnaeus Centre (2016–2019) and was Assistant Professor at RWTH Aachen University. PhD, TU Berlin (2006) Studies: TU Berlin, UC San Diego His research lies at the intersection of wireless networking, edge computing, and mathematical performance modeling. Key areas include ultra-reliable low-latency communications (URLLC), age-of-information, network calculus, and resource allocation. He applies these to 5G/6G, cyber-physical systems, and industrial IoT. His work combines theoretical modeling with real-world implementation and standardization impact. The recent publications highlight a strong focus on deterministic and reliable communications for future networks. Topics include hierarchical inference at the edge, age-of-information optimization, finite blocklength coding, and integration of TSN with wireless systems. There is a clear trend towards AI/ML for resource management and semantic communications, reflecting the evolution of intelligent edge networks. Best Paper Award, ACM MSWiM 2015 Best Demo Paper Award, IEEE WoWMoM 2015 Best Paper Award, IEEE WoWMoM 2009 Best Paper Award, European Wireless 2009 ITG/KuVS Dissertation Award, 2007 James Gross has supervised PhD students such as Samie Mostafavi and advises numerous master's projects. His research has been funded by national science foundations in Germany and Sweden, the ICT TNG SRA, Linnaeus ACCESS Centre, DFG-funded UMIC Centre, German Ministry of Science, and various industry partners. His work has led to patents and influenced wireless standards. He is involved in initiatives like the TECoSA project on trustworthy edge computing and organizes summer schools on Edge AI and 6G. His lab conducts experimental research on edge computing testbeds (e.g., Ainur, ExPECA) and wireless performance evaluation.

• Wireless Networking
• Mobile Systems & Networks
• Ultra-reliable Low-latency Communications
• +11 more

Prof. Dr. Tabea Arndt is a Professor and Director of the Superconducting Magnet Technology group at the Karlsruher Institut für Technologie (KIT), within the Department of Electrical Engineering and Information Technology (ETIT). Her research focuses on advanced superconducting technologies for energy-efficient systems, including high-temperature superconductors (HTS), fault current limiters, and innovative electric machines. She leads projects involving HTS applications in motors, generators, and hybrid energy pipelines integrating liquid hydrogen transport with superconducting cables. Her work spans fundamental material science (e.g., MgB2 films on Hastelloy substrates) to industrial-scale applications in power grids and accelerators. Prof. Arndt’s recent advancements include compact HTS motor designs cooled by liquid hydrogen, novel magnet configurations (e.g., disk-up-down-assembly), and superconducting undulators for laser-plasma accelerators. Her contributions address challenges in thermal management, magnetic field optimization, and cost-effective HTS integration into critical infrastructure. Publications highlight interdisciplinary efforts in electromagnetics, energy transmission, and sustainable mobility. Despite no explicitly listed awards, her leadership in KIT’s Technische Physik institute underscores her influence in advancing superconductivity for next-generation technologies.

• Superconductivity
• Electrical Engineering
• High-Temperature Superconductors
• +3 more

Konstantin Gamayunov is a Research Associate Professor in the Department of Aerospace, Physics and Space Sciences at the College of Engineering and Science (COES), Florida Institute of Technology. His research focuses on kinetic and magnetohydrodynamic modeling of the Earth’s magnetosphere and heliosphere, nonlinear wave–particle interactions, and the generation and effects of electromagnetic ion cyclotron (EMIC) waves. Education & Professional Experience: While specific degrees are not listed, Dr Gamayunov has been active in space-plasma research since at least the early 2000s and has held his current faculty rank at Florida Tech since before 2012. Research Interests: His work centers on understanding how plasma waves—especially EMIC and ULF waves—exchange energy with particles in the inner magnetosphere, creating phenomena such as the warm plasma cloak, ion conics, and energetic particle precipitation. Additional themes include the influence of solar-wind transients (CMEs, high-speed streams) on magnetospheric wave activity, and the physics of the outer heliosphere including the IBEX ribbon and pickup-ion processes. Recent Publication Trends (2022–2024): The latest papers emphasize statistical analyses of Van Allen Probe data, energy cascades from ULF to EMIC waves, and the role of EMIC wave dissipation in heating low-energy O+ ions and forming the warm plasma cloak. Collectively they advance system-level understanding of wave–particle energy flow during both quiet and storm-time conditions. Grants & Funding: Since 2012, Dr Gamayunov has secured over $3.38 million in NASA, NSF and DOE awards, serving as PI on $2.18 million and Co-PI on $1.20 million . Professional Memberships: American Geophysical Union (AGU), 2005–present Contact & Collaboration: Office: F.W. Olin Physical Sciences Building 347, Florida Institute of Technology, Melbourne, FL 32901, USA Phone: +1 (321) 674-7293 Email: kgamayunov@fit.edu

• Space plasma physics
• Magnetospheric physics
• Heliospheric physics
• +6 more

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +3 more

A.P. Meliopoulos is a Professor and Georgia Power Distinguished Professor at Georgia Tech's College of Engineering, Department of Electrical Engineering. He has been a faculty member since 1976 and specializes in power systems engineering. Education : Diploma in Electrical and Mechanical Engineering (National Technical University of Athens, 1972), MSEE (Georgia Tech, 1974), Ph.D. (Georgia Tech, 1976) Research Interests : Focus on power systems reliability, risk assessment, operations planning, electromagnetic influence, power quality, protective relaying, disturbance analysis, and simulation/visualization techniques. His work integrates distributed generation, renewable energy, and power electronics with grid modernization. Scientific Contributions : Co-inventor of the Smart Ground Multimeter and Macrodyne PMU-based Harmonic Measurement System. Developed quadratization methods for power grid modeling, the SuperCalibrator for state estimation, and μGRID for stability analysis. Leads field demonstration projects with USVI-WAPA, NYPA, Southern Company, and PG&E. Laboratory : Established a state-of-the-art synchrophasor laboratory Leadership Roles : Site director for NSF I/URC PSERC, academic administrator for Power System Certificate program, chairman of Georgia Tech Protective Relaying Conference and Fault and Disturbance Analysis Conference Scientific Awards : IEEE Fellow (1993) IEEE-IAS Richard Kaufman Award (2005) George Montefiore Institute Award (Belgium, 2010) Sigma Xi Young Faculty Research Award IEEE/PES Best Paper Awards (1984, 1987) Holds three patents and published three books

• Power System Reliability and Risk Assessment
• Power Systems Operations Planning
• Electromagnetic Influence of Power Systems
• +3 more

Mohamed Diab is a Lecturer in Power Electronics at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University, where he is affiliated with the Centre for Renewable Energy Systems Technology (CREST) . His research focuses on power electronics applications, energy conversion, and electrical machine drives, particularly involving silicon carbide (SiC) semiconductor-based systems and overvoltage mitigation techniques. **Education**: He holds a PhD in Electronic and Electrical Engineering (Power Electronics) from the University of Strathclyde (2016–2019), an MSc in Electrical Power Engineering from Alexandria University (2012–2015), and a BSc (Hons) in Electrical Power Engineering from Alexandria University (2007–2012). **Research Interests**: His work emphasizes SiC-based motor drives , high-frequency power electronics , renewable energy systems , and overvoltage mitigation strategies . He explores innovative converter topologies, inverter designs, and control methods to enhance efficiency and reliability in electric vehicle systems, adjustable-speed drives, and HVDC transmission. **Awards**: He has received the Third Prize Paper Award from IEEE Industry Applications Society (2022), a PhD Scholarship from the University of Strathclyde (2016), and the Young Innovators’ Award (YIA) in Egypt (2012). **Career**: Prior to Loughborough, he served as a Research Associate at the University of Bristol (3 years), a Research Engineer at Spiretronic (over 3 years), and a Visiting Researcher at Leibniz Universität Hannover’s Institute for Drive Systems and Power Electronics. His expertise bridges academia and industry, with contributions to both theoretical and applied power electronics research. **Publications**: His recent work addresses challenges in SiC-driven motor overvoltage suppression , advanced inverter topologies , and renewable energy transmission systems . Key themes include dv/dt filtering, passive/active control methods, and high-voltage DC converter design.

• Power Electronics
• Electrical Machine Drives
• Energy Conversion
• +3 more

Russell Fralich is an Associate Professor at the Department of Management, HEC Montréal. He holds a Ph.D. from HEC Montréal, preceded by a Master of Engineering and Bachelor of Engineering from McMaster University. His research focuses on strategic management, social capital, and quantitative methods in strategy, particularly examining how media coverage and market reactions influence executive decisions and organizational performance. Education: Bachelor of Engineering (McMaster University), Masters of Engineering (McMaster University), Ph.D. (HEC Montréal). Research Interests: Strategic Management, Social Capital, CEO Decision-Making, Mergers & Acquisitions, Media Influence on Executives, and Quantitative Strategy. His work explores how social judgments of senior executives affect strategic choices, with studies on CEO celebrity effects, Matthew effects, and merger wave timing supported by SSHRC grants. Publications highlight trends in strategic decision-making dynamics, particularly the interplay between executive visibility, market reactions, and organizational outcomes. Notable works include analyses of CEO imprinting, M&A premiums, and strategic behavior influenced by social status. Awards: Most Inspirational Paper (EURAM 2022), Honourable Mention (ASAC 2020), Emerald Literati Award (2020). Teaching: Courses on strategic management, management simulation, and organizational policy. Supervision: Directed 13+ master’s theses and projects on topics ranging from executive leadership to digital transformation and organizational strategy. His academic contributions bridge theory and practice, impacting corporate governance, executive decision-making frameworks, and strategic adaptation strategies in volatile markets.

• Strategic Management
• Social Capital
• Quantitative Methods in Strategy
• +4 more

Abbas Semnani is an Associate Professor of Electrical Engineering and Director of the Adaptive Radiofrequency and Plasma Lab (ARPL) at the University of Toledo’s College of Engineering. He holds a faculty position in the Electrical Engineering and Computer Science department. Prior to joining the University of Toledo in 2019, he worked at Purdue University, focusing on plasma-electromagnetic interactions. Research Interests: His work centers on high-power microwaves, tunable antennas, reconfigurable RF electronics, and microwave plasma applications. Key areas include plasma-based impedance tuning, resonant plasma jets, and computational electromagnetics. Current projects emphasize energy-efficient plasma systems and adaptive radar technologies. High-Power Microwave Systems Low-Temperature Plasma Applications RF Nanotechnology Awards: 2019 IEEE MTT-S ‘Tatsuo Itoh’ Award 2022 NASA Glenn Faculty Fellowship 2024 NSF CAREER Award Labs & Teams: Leads the ARPL, advancing research in plasma-driven RF electronics and reconfigurable systems. Collaborates on projects involving plasma antennas and high-power protection mechanisms.

• High-Power Microwaves
• Low-Temperature Plasma
• RF Electronics
• +4 more

Mingming Li is an active professor at the Chinese Academy of Sciences with extensive research contributions across multiple domains including human-robot interaction, e-commerce systems, and wireless communications. With over 110 publications spanning from 2007 to 2025, Dr. Li demonstrates consistent scholarly productivity and leadership in interdisciplinary research. Dr. Li's research interests span Human-Robot Interaction , Affective Computing , E-commerce Search Algorithms , Machine Learning , and Wireless Communications . Recent work focuses on understanding how humanoid robots' multimodal characteristics (appearance, voice, touch) affect users' emotional responses and cognitive processing, employing physiological measures like ECG and fNIRS. Simultaneously, Dr. Li leads research in e-commerce search optimization, developing novel deep learning architectures for improved recommendation systems. The publication record reveals significant trends toward increasingly sophisticated multimodal analysis in HRI and more efficient neural architectures for practical applications. Dr. Li's work bridges theoretical advancements in machine learning with practical implementations in human-centered systems. Dr. Li has advised numerous graduate students including Jiahao Chen, Aung Naing Win, and Songlin Wang, with whom collaborative publications demonstrate strong mentorship. Research has been supported by substantial funding reflected in the volume and quality of publications across top venues. Current research activities include leading projects on digital twin-based thermal error compensation, multimodal affective robot design, and advanced search algorithms for e-commerce platforms, indicating an active laboratory environment with multiple ongoing research threads.

• Human-Robot Interaction
• Affective Computing
• E-commerce Search Algorithms
• +4 more

Dr. Vladica Miјailović is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. His academic career spans over three decades with significant contributions to power systems engineering and electrical distribution networks. B.Sc. in Electrical Engineering (1991) M.Sc. (1995) Ph.D. (1999) Professor Miјailović specializes in power systems reliability and modern maintenance techniques. His research focuses on high-voltage engineering, electrical distribution systems, and renewable energy integration. He has made significant contributions to understanding components of high-voltage switchgears, reliability of electrical distribution systems, and monitoring and diagnostics of power equipment. His work bridges theoretical research with practical applications in the energy sector, particularly in power plants and renewable energy resources. His recent publications demonstrate a strong focus on modern power system challenges, particularly the integration of distributed energy resources into existing grids. There's a clear trend toward analyzing the impact of renewable energy sources on grid stability, developing methods for calculating short-circuit currents in networks with distributed generation, and optimizing distribution networks for improved reliability and efficiency. His work increasingly addresses the transition toward sustainable energy systems and the technical challenges associated with this transition. Professor Miјailović has led and participated in numerous research projects focused on power system reliability, maintenance optimization, and distribution network analysis. These projects have been conducted in collaboration with industry partners including ETI "Nikola Tesla" and Elektrosrbija, demonstrating the practical application of his research. His work has significantly influenced maintenance practices and reliability assessment methodologies in the Serbian power sector.

• Power Systems Reliability
• Electrical Distribution Systems
• High-Voltage Engineering
• +4 more

Aníbal T. de Almeida is a Full Professor at the University of Coimbra, Portugal, and Director of the Institute for Systems and Robotics (UC), an interdisciplinary research institute with over 150 researchers. His work spans automation, robotics, and energy-efficient technologies, particularly focusing on advanced electric motors and drives. PhD in Electrical Engineering from Imperial College, University of London Over 50 funded national and international projects in industrial automation and energy efficiency General Chair of IEEE EPQU 2011 and IEEE IROS 2012 (the largest robotics conference globally) His research interests include: Smart microgrid architecture and resiliency Life cycle assessment of electric motor technologies Decarbonization strategies for urban and industrial sectors Recyclable and repairable electronic components Wildfire risk mitigation through robotic systems Sustainable energy access in developing countries Recent publications demonstrate expertise in voltage unbalance analysis, multi-criteria optimization for decarbonization, and 3R (resilient/reparable/recyclable) battery design. Awards include the 2015 IEEE CEMRA Award for educational materials on energy harvesting in mobile robots, IEEE IROS Fellow since 2020, and IEEE Robotics and Automation Society Distinguished Lecturer since 2018. As an international consultant, he advises the European Commission, US Department of Energy, World Bank, UNDP, and CLASP, while serving on the Board of Directors of CLASP (Washington, USA) since 2014. His work bridges cutting-edge robotics with sustainable energy systems, influencing global policy and technological standards.

• Automation
• Robotics
• Energy-Efficient Technologies
• +5 more

Jarosław Tulicki serves as a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. Having recently completed his doctorate in 2024, he specializes in electrical machine diagnostics with emphasis on induction motor fault detection through non-invasive techniques. His research focuses on rotor cage damage diagnostics using stator current spectrum analysis and axial flux signal processing under steady-state conditions. Key contributions include methodologies for detecting rotor asymmetries in double-cage induction motors and developing diagnostic systems for industrial applications like tramway drive systems. His work bridges theoretical electromagnetic modeling with practical condition monitoring solutions. Tulicki's publication record demonstrates consistent research progression from fundamental electromagnetic analysis (2015-2018) toward applied diagnostic systems (2019-2024). The most recent works emphasize double-cage motor diagnostics and real-time implementation, showing strong technical depth in signal processing and system integration. His research consistently targets industrial applicability while maintaining rigorous theoretical foundations. With 27 publications yielding an h-index of 4 in both Scopus and Web of Science, his scholarly impact is reflected in a total ministerial score of 497 within the Polish academic evaluation system. His ORCID profile (0000-0003-1720-3448) documents this active research trajectory.

• Electrical Engineering
• Diagnostics of Electrical Machines
• Induction Motor Diagnostics
• +4 more