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Leslie GreengardView profile

Professor

• Integral Equation Methods
• Electromagnetics
• Acoustics
• +5 more

Leslie Greengard is a Silver Professor of Mathematics and Computer Science at New York University's Courant Institute, part of the Faculty of Arts and Science. His research focuses on integral equation methods for electromagnetics, acoustics, plasma physics, and fluid dynamics, with recent work extending to kernel-based methods in statistical inference. He leads the Courant Mathematics and Computing Laboratory and contributes to novel electromagnetic simulation techniques. Education: Ph.D. and M.D. in Computer Science and Medicine from Yale University (1987) B.A. in Mathematics from Wesleyan University (1979) Research Interests: Greengard's group develops fast solvers for complex geometries in electromagnetics and fluid dynamics. Notable contributions include the Fast Multipole Method (FMM) for particle simulations and Quadrature by Expansion (QBX) for layer potential evaluations. His work bridges computational mathematics and applications in physics, engineering, and biomedicine. Recent Article Trends: Recent publications emphasize fast algorithms (e.g., FMM, adaptive Gauss transforms), biomedical applications (e.g., deep brain stimulation modeling), and cosmological simulations. His methods address challenges in high-dimensional data, multiscale problems, and real-time computation. Awards & Recognition: While no specific prizes are listed, his foundational work on FMM has had a transformative impact on computational science. Advising & Collaborations: Collaborations span academia and industry, with co-authors including V. Rokhlin, M. O’Neil, and others. No formal advisees are listed here, though his research involves postdoctoral fellows and graduate students. Labs & Teams: Active in the Courant Mathematics and Computing Laboratory, focusing on electromagnetic simulation and design methodologies.

Petra RudolfView profile

Professor

• Molecular Motors and Switches
• 2D Materials (Graphene, Transition Metal Dichalcogenides)
• Organic Electronics
• +4 more

Prof. Petra Rudolf is a Professor of Experimental Solid State Physics and Dean of Graduate Studies at the University of Groningen. She holds a PhD from the University of Namur (Belgium) and a MSc from the University of Rome "La Sapienza". Her research focuses on molecular motors/switches, 2D materials (graphene, transition metal dichalcogenides), organic thin films, and energy-related nanomaterials. She leads the Surfaces and Thin Films group at the Zernike Institute for Advanced Materials. Education: PhD in Physics (1995) from University of Namur MSc in Physics (1987) from University of Rome Research Interests: Design of functional surface architectures using molecular switches and motors Synthesis and characterization of 2D materials (graphene, MXenes) Development of nanomaterials for energy storage (lithium-sulfur batteries) and catalysis Electrochemical processes and surface functionalization techniques Recent Article Trends: Advances in organic solar cell efficiency via interlayer engineering Electrocatalytic strategies for sustainable chemical production Innovative 2D material synthesis methods (vapor phase, solvothermal) Self-healing materials and smart adhesives Awards: EU Descartes Prize (2007) for molecular machine research Member of Academia Europaea (2021) Fellowships: APS (2010), Institute of Physics (2001) Advising & Grants: Guided 35+ PhD students and 10 current advisees Leadership in European research networks and funding initiatives Labs/Teams: Surfaces and Thin Films Group at Zernike Institute Collaborations with Max Planck Institute, SOLARIS Synchrotron, and others

• Nuclear Materials
• Radiation Damage Physics
• Computational Materials Science
• +4 more

Pär Olsson is a Professor in the Department of Nuclear Science & Engineering at KTH Royal Institute of Technology. His research focuses on computational and experimental studies of radiation damage in nuclear materials, with particular emphasis on understanding defect dynamics, microstructural evolution under irradiation, and the behavior of advanced nuclear fuels. He leads courses such as Multiscale Modeling of Nuclear Materials and Radiation Damage Physics, emphasizing both theoretical and practical aspects of materials science in nuclear contexts. His research interests include the development of advanced accident-tolerant fuels (e.g., UN-UO2 composites), the computational modeling of radiation effects in metals like Fe and W, and the interplay between solute atoms and defects in irradiated materials. His work combines first-principles calculations, kinetic Monte Carlo simulations, and experimental validation to address challenges in nuclear energy systems. Notable contributions include studies on fission product solubility in nuclear fuels, oxygen’s role in tungsten defect evolution, and the thermal performance of UN-based composites. His team’s projects, such as the M4F initiative (Multiscale Modelling for Fusion and Fission Materials), aim to bridge atomistic and continuum-scale models for material design. Pär Olsson collaborates extensively with international institutions and contributes to nuclear materials education through course coordination and supervision of graduate studies in physics and materials science.

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

Peter JansenView profile

Associate Professor

• Natural Language Processing
• Artificial Intelligence
• Cognitive Science
• +5 more

Peter Jansen is an Associate Professor at the University of Arizona's College of Information Science with a joint appointment at the Allen Institute for Artificial Intelligence (Ai2). He specializes in natural language processing (NLP), cognitive artificial intelligence, and automated scientific discovery. His research focuses on virtual environments for scientific reasoning, such as ScienceWorld and DiscoveryWorld, and methods for explainable AI through projects like the Explanation Bank. Education: PhD in Psychology and Neuroscience from McMaster University, and a Bachelor of Independent Studies from the University of Waterloo. His interdisciplinary background combines NLP, computer science, physics, and electrical engineering. Key projects include open-source hardware initiatives like the science tricorder (featured in over 50 media outlets and exhibited at the German Museum of Technology in Berlin) and TextWorldExpress, a text-game simulator. His work emphasizes grounding science education through sensing and developing AI systems capable of systematic reasoning and explanation generation. Current roles include advising students in automated scientific discovery and contributing to cross-listed courses in Computer Science and Linguistics. He maintains an active presence in academic outreach through teaching, conferences, and publications.

• IoT Security
• Network Measurement
• Privacy Engineering
• +3 more

Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.

• Distributed Systems
• Computer Networks
• Middleware
• +13 more

Antonio Corradi is a Full Professor of Computer Networks and Infrastructures supporting Cloud and Big Data at the University of Bologna's School of Engineering, within the Department of Computer Science - Science and Engineering. His roles include President of the regional CLUSTER RER for service innovation, President of the Alma Mater FAM Foundation, and Director of the UNIBO High Studies Center in Buenos Aires. He previously served as Director of the DISI department (2018–2021) and International Delegate for Latin America (2014–2018). His research focuses on distributed systems, middleware for pervasive computing, cloud solutions, mobile systems, smart cities, Industry 4.0/5.0, and 5G communication standards. Education: Laurea cum laude in Electrical Engineering (University of Bologna, 1979) and a Master's in Computer Engineering from Cornell University (1981, supported by a Fulbright-Hayes grant). He joined the University of Bologna as a Researcher in 1983 and became Full Professor in 2000. Research interests span distributed/parallel systems, middleware for mobile agent systems, cloud computing, smart city monitoring, and Industry 4.0 protocols. He emphasizes QoS-aware solutions, edge computing, and IoT integration. His work includes designing frameworks for big geospatial data and novel architectures for serverless and fog computing environments. Selected scientific awards include the 1980 'Cavalieri del Lavoro' prize for his thesis. He actively contributes to institutional duties, including the CCIB (Computer Services Centre of the Engineering School) and CINI Bologna University Section (Italian Interuniversity Consortium). In advising and grants: He coordinates PhD programs and has led projects funded by MIUR, CNR, and European initiatives. Notable collaborations include industry grants with Jakala, OTConsulting, ENAV-Sicta, and the Zefiro Consortium. His projects address challenges in energy efficiency, smart manufacturing, and healthcare management during crises. Labs/Teams: Developed platforms like SOMA and REDMAN middleware. Involved in initiatives such as ParticipAct (mobile crowdsensing), COLOMBO (vehicular traffic monitoring), and the Audit4Cloud platform for cloud performance auditing.

Apostolos GeorgakisView profile

Associate Professor

• Biomedical Signal Processing
• Audio Engineering
• Electroglottography
• +7 more

Dr. Apostolos Georgakis is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London (UWL). He joined UWL in 2017 after serving at King’s College London’s Division of Engineering. His academic role involves teaching and research in engineering with a strong focus on signal processing and biomedical applications. University: University of West London School: School of Computing and Engineering Department: Department of Electrical and Electronic Engineering Academic Rank: Associate Professor Email: apostolos.georgakis@uwl.ac.uk Dr. Georgakis holds an MSc in Mathematics and Statistics and a PhD in Engineering. His research interests center on biomedical signal processing, audio engineering, and medical diagnostics using advanced signal analysis techniques. He has made significant contributions to the fields of electroglottography for vocal tract pathology detection and heart rate monitoring via tracheal audio signals. His work bridges engineering with healthcare applications, particularly in non-invasive monitoring and diagnostic systems. His recent publications (2022–2024) demonstrate a clear trend toward applying digital signal processing and machine learning methods to medical diagnostics. Topics include laryngeal pathology detection using MFCC/GTCC features, systematic reviews on electroglottography, and automatic heart rate estimation during sleep. Earlier works (2014–2015) focus on theoretical signal restoration and denoising techniques using fractional Fourier transforms and mask operations, showing a strong foundation in mathematical signal processing. A 2019 publication also highlights his interdisciplinary work in thermal engineering involving liquid desiccant systems. Dr. Georgakis teaches across multiple programs, including: MSc Electronic and Robotic Engineering BEng (Hons) Electrical and Electronic Engineering (with and without Foundation Year) BSc (Hons) Sound Engineering (with and without Foundation Year) BSc (Hons) Mathematics and Statistics (with and without Foundation Year) MSc Digital Audio Engineering PhD Engineering While no specific scientific awards are listed, his sustained publication record in high-impact journals such as Digital Signal Processing , Signal Processing , and MDPI Diagnostics reflects active research engagement. He collaborates with researchers internationally, particularly in biomedical signal analysis and veterinary monitoring. Dr. Georgakis advises postgraduate students and supervises PhD candidates in engineering disciplines, though specific student names are not listed. He has not received mention of external research grants in the provided text, but his involvement in applied research suggests potential grant-funded projects. His work in wireless acoustic sensors and medical diagnostics may involve future expansion into wearable health technologies and AI-driven diagnostic tools. There is no mention of a dedicated lab or research team in the provided text, but his research themes suggest potential affiliation with biomedical engineering or audio signal processing groups within the School of Computing and Engineering at UWL.

Juergen PfingstnerView profile

Researcher

• Particle Accelerator Technology
• Free Electron Lasers
• CLIC (Compact Linear Collider)
• +5 more

Juergen Pfingstner is a Post-doctoral Fellow at the University of Oslo (since 2015) within the Department of Physics. His research focuses on advanced accelerator technologies, particularly at CERN's CLIC Test Facility (ATF2). Key areas include emittance preservation, ground motion mitigation, and free-electron laser (FEL) design. He holds a PhD from the Vienna University of Technology (2013) and a Master's in Electrical Engineering from Graz University of Technology (2008), specializing in control engineering and electromagnetic field computation. His academic journey includes a postdoctoral stint at CERN (2012–2014), where he investigated ground motion effects on CLIC performance. Collaborations span institutions like KEK (ATF2 facility) and the X-band FEL collaboration. Research interests bridge particle accelerator physics, control systems, and high-frequency radiation technologies. Publications emphasize CLIC final focus systems, wakefield suppression, and plasma wakefield acceleration. His work addresses both theoretical and experimental challenges in next-generation collider design, including THz radiation facilities and feedback control methodologies.

• 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.

Yves KayserView profile

Researcher

• X-ray Spectroscopy
• Catalysis
• Inorganic Chemistry
• +3 more

Dr. Yves Kayser is a Researcher and Project Leader at the Max Planck Institute for Chemical Energy Conversion (MPI CEC), leading the In-house X-ray Spectroscopy group since 2022. His work focuses on developing advanced X-ray spectroscopic techniques for studying catalytic materials and energy storage systems. He holds a B.Sc., M.Sc., and Ph.D. in Physics from the University of Fribourg, Switzerland, followed by postdoctoral research at the University of Fribourg, Paul Scherrer Institut (Switzerland), and the Physikalisch-Technische Bundesanstalt (Germany). Affiliations: Max Planck Institute for Chemical Energy Conversion (MPI CEC) Research Interests: X-ray absorption spectroscopy (XAS), X-ray emission spectroscopy (XES), high-energy-resolution spectroscopy for catalytic materials, in situ/operando analysis, and instrumentation development. Dr. Kayser’s research emphasizes leveraging X-ray techniques to probe electronic and geometric structures of catalytic materials. His group develops stand-alone laboratory instruments for high-energy-resolution studies, including laser plasma sources and von Hamos spectrometers. Key contributions include advancing grazing incidence X-ray fluorescence (GIXRF) for nanostructure analysis and integrating time-resolved experiments for catalytic reaction monitoring. His recent publications explore topics such as differential scattering coefficients for metals, semiconductor nanostructure metrology, and TiO₂ doping effects. He received the 2018 Young Scientist Award from the European X-ray Spectrometry Association for his contributions to instrumentation and methodology. Awards: Young Scientist Award (2018) Students: Advising John Carl Camayang (PhD). Lab Infrastructure: In-house X-ray spectrometers for transmission XAS, EXAFS, and XES, including laser plasma and von Hamos setups.

• 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.

Sajib ChakrabortyView profile

Researcher

• Power Electronics
• Electric Vehicles
• Battery Management Systems (BMS)
• +3 more

Sajib Chakraborty is a Researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics. His research focuses on condition monitoring, reliability assessment of power electronic systems, and advanced battery management systems (BMS). He has contributed to projects like HARPOONERS and FLEXMCS, aiming to optimize electric powertrain systems and vehicle-to-grid technologies. His work spans over 80 research outputs since 2018, with a strong emphasis on multi-objective optimization, physics-of-failure modeling, and digital twin technologies for electric vehicles. Collaborations include institutions in Europe and beyond, addressing challenges in renewable energy integration and high-voltage electric mobility. Advised 5 Master's theses on topics like DC-DC converter design and SiC MOSFET reliability. Active in editorial roles for IEEE Transactions on Transportation Electrification . Led projects funded by EU grants, totaling € multi-million investments. Key research themes include battery thermal management, EV charging infrastructure, and multi-physics modeling for power electronics reliability.

Shu-Chuan ChuView profile

Professor

• Social Media
• Electronic Word-of-Mouth (eWOM)
• Corporate Social Responsibility (CSR)
• +5 more

Shu-Chuan (Kelly) Chu is a Professor and Program Director of Public Relations and Advertising at DePaul University's College of Communication. With a PhD from the University of Texas at Austin, her work spans research, editorial leadership, and global teaching initiatives. Education: PhD and MA in Advertising (University of Texas at Austin); BA in Advertising (National Chengchi University, Taipei, Taiwan) Research Interests: Professor Chu's research focuses on social media, electronic word-of-mouth (eWOM), brand activism, cross-cultural consumer behavior, and the intersection of interactive advertising with fashion and hospitality industries. Her work often examines how digital platforms and cultural contexts shape consumer responses and marketing effectiveness. Publication Trends: Recent articles explore AI-integrated advertising, TikTok's viral mechanics, CSR communication in social media, and mortality salience in tourism campaigns. Subfields include virtual/augmented reality, ethical marketing, and cultural variations in digital engagement. Scientific Awards: 2020 Billy I. Ross Advertising Education Award Best Reviewer Awards (Journal of Interactive Advertising, International Journal of Advertising) High Scholarly Impact Award (Journal of Global Fashion Marketing) Global Contributions: As Past President of the American Academy of Advertising (AAA), she launched initiatives like the Best DE&I Conference Paper Award and Childcare Grant. She has presented internationally and led study abroad programs in Asia.