جست‌وجوی استاد و پژوهشگر

Oded Rabinمشاهده پروفایل

دانشیار

• Nanotechnology
• Nanomaterials Synthesis
• Thermoelectric Materials
• +۶ مورد دیگر

Dr. Oded Rabin is an Associate Professor in the Department of Materials Science and Engineering at the University of Maryland. He holds affiliations with the Institute for Research in Electronics & Applied Physics, Maryland Energy Innovation Institute, and Aerospace Engineering. His research focuses on nanomaterials synthesis, thermoelectric properties, plasmonics, and energy applications. He joined UMD in 2007 after postdoctoral training at MIT and UC Berkeley. Education: B.A. in Chemistry, Technion, Haifa, Israel M.Sc. in Chemistry, Weizmann Institute of Science, Israel Ph.D. in Physical Chemistry, MIT (2004) Research Interests: Dr. Rabin explores nanowire fabrication, porous thin films, interfacial nanoscience, and applications in sensing, energy generation, and biomarkers. His work emphasizes low-dimensional systems and their unique thermal/electrical properties. Teaching: He teaches courses including ENMA 300 (Materials Engineering), ENMA 430/630 (Quantum Effects in Nanomaterials), and ENMA 660 (Materials Thermodynamics). Awards: NSF CAREER Award (2012) Fulbright U.S. Scholar (2022) Labs/Teams: Director of the Materials and Interface NanoTechnology Laboratory. His group collaborates on projects involving plasmonic structures, thermoelectrics, and bio-nano interfaces.

• Control
• Power Electronics
• Applications of Power Electronics to Electric Power Systems
• +۵ مورد دیگر

Pablo García González is a Full Professor and Director of Postgraduate and Doctoral Studies at the ICAI School of Engineering, Comillas Pontifical University. He is affiliated with the Department of Electronics, Automation and Communications and conducts research at the Institute for Research in Technology (IIT). His academic career has been centered on control systems and power electronics applications in electric power networks. His research interests include: Control of electric power systems Power electronics and its applications FACTS devices (UPFC, STATCOM) Active filters HVDC systems Stability and control of modern power grids His recent publications focus on advanced power system control, including DC segmentation for oscillation mitigation, integration of plug-in electric vehicles for frequency control, and modeling of power electronics devices. These works appear in top journals such as IEEE Transactions on Power Systems and International Journal of Electrical Power & Energy Systems. Notable scientific contributions include: Supervision of PhD theses on PEV aggregation and active power filtering Leadership in major research projects funded by MCIN, Comunidad de Madrid, and the European Commission Authorship of book chapters on STATCOM control and smart grids Technical reports on HVDC-VSC systems and power system protection He has advised on numerous industrial projects for companies like Endesa, Unión Fenosa, and Reganosa, and has contributed to outreach through Comillas Magazine. His work bridges academic research and practical engineering solutions for modernizing electrical grids.

Andriy Lyubchykمشاهده پروفایل

استادیار

• Renewable Energy
• Energy Conversion Technologies
• Nanomaterials
• +۵ مورد دیگر

Dr. Andriy Lyubchyk is an Assistant Professor at the Nanotechnologies and Nanomaterials Department , Universidade Lusofona (Portugal) since 2021. He holds a PhD in Chemical Engineering (2013, Portugal) and an MSc in Physical Chemistry (2007, Ukraine). His career spans roles as Principal Investigator at Universidade NOVA de Lisboa (2016-2019) and Director of Research at SME NANOTECH Ltd (2019-2022). He has coordinated groundbreaking projects like the HUNTER Project (6.4M Euro, 2015-2019) SShare Project (871284, Horizon 2020) CATCHER Project (Horizon Europe, 2022-2026) focused on 'humidity to electricity' conversion technologies. His research bridges Zirconia-based nanomaterials , Surface Science , and Energy Conversion Systems , with over 46 scientific publications and an h-index of 1062. Recent work explores Structural stability of yttria-stabilized zirconia Potential barrier formation in oxide composites Porosity engineering for enhanced energy output Nanostructured materials for biological gas sensors . Dr. Lyubchyk leads international collaborations under Horizon Europe and H2020-MSCA-RISE frameworks, focusing on Net Zero Energy Buildings and Advanced Sensor Technology . His scientific awards include coordination roles in multi-million Euro projects, emphasizing Renewable Energy and Material Innovation .

• Machine Learning
• Computational Modeling
• Biomedical Engineering
• +۳ مورد دیگر

Stephen Baek is a faculty member at the University of Iowa, Department of Industrial and System Engineering, with a PhD from Seoul National University's School of Mechanical and Aerospace Engineering. His research spans interdisciplinary applications of machine learning in computational modeling, biomedical engineering, and geometric data processing. Current Affiliation: University of Iowa, Department of Industrial and System Engineering PhD Institution: Seoul National University Stephen's work focuses on physics-informed machine learning , multiscale modeling , and geometric deep learning . He develops algorithms that integrate physical principles with neural networks for applications in energetic materials , human pose estimation , and medical imaging . His research also includes federated learning and interpretable AI for constraint-based synthesis and text classification. Recent publications highlight a physics-aware deep learning framework (PARCv2) for spatiotemporal dynamics, graph convolutional networks for airway mesh smoothing, and prototype trajectory methods for explainable AI. This work bridges computer science with applied physics and healthcare domains. Stephen actively collaborates across disciplines, evidenced by co-authors from institutions like Iowa, Seoul National University, and Samsung Electronics, with publications in venues such as CoRR , J. Mach. Learn. Res. , and NeurIPS . His methodological innovations address challenges in model heterogeneity , 3D surface processing , and constraint satisfaction .

Benjamin Kingمشاهده پروفایل

استاد

• Organic Chemistry
• Organometallic Chemistry
• Materials Science
• +۶ مورد دیگر

Benjamin T. King is the Reynold Clayton Fuson Endowed Professor in Chemistry at the University of Nevada, Reno, within the College of Science. His research focuses on organic and organometallic chemistry, particularly the Scholl reaction for PAH synthesis, zirconium-mediated biphenylation, and carbon nanotube electronic structure. Ph.D. in Chemistry (University of Colorado, 2000, under Josef Michl) Postdoctoral Research Associate (University of California, Berkeley, 2000-2002) B.S. in Chemistry (Northeastern University, 1992) Research interests include developing synthetic methodologies for strained molecules, studying reaction mechanisms via computational and experimental approaches, and creating quantum sensors funded by the NSF. His work on valence-bond models for CNTs reveals reactivity patterns beyond steric effects. Recent publications span quantum sensors ( SHe-QUID ), organic thin-film transistor (OTFT) materials like silicon phthalocyanines, and high-intensity laser applications in particle physics. These articles reflect interdisciplinary trends in chemistry, materials science, and experimental physics. NSF Award for SHe-QUID (2025) Reynold Clayton Fuson Endowed Professorship (1984) He leads the King Group, which welcomed new members including Tolani Adegbemisola, Ifeanyi Ikebude, Anastasia Kesse, and John Nyogbe. The group also maintains a cloud-based file server ( kingcirrus.org ) and collaborates on quantum and sensor technologies.

• Power Electronics
• Energy Conversion Systems
• Electrical Engineering
• +۳ مورد دیگر

Ryszard Klempka, PhD, DSc, Eng., is a Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, and the Department of Power Electronics and Automation of Energy Conversion Systems. He serves as Head of the Department and leads research in power electronics, energy conversion systems, optimization algorithms, and mining technology. Position: University Professor Headquarters: Room 104 (main), Room 117 (department head) Contact: keiaspe@agh.edu.pl , klempka@agh.edu.pl Research Interests His research focuses on power quality improvement, passive and active filter design, mining automation, and optimization techniques like genetic algorithms and firefly algorithms. Key areas include voltage disturbance analysis, harmonic filtering, energy-efficient systems for mining, and computer-aided design of electromechanical components. Publications Trends Recent works emphasize mining transport load analysis, stability optimization for manipulators, and application of AI-based algorithms to power systems. Historical research includes Bronze Age casting technology and neural networks for industrial load forecasting. Leadership As Head of the Department, he oversees academic programs in power electronics and energy conversion systems, contributing to strategic development in automation and biomedical engineering disciplines.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +۳ مورد دیگر

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57

• Computer Science
• Artificial Intelligence
• Smart Cities
• +۵ مورد دیگر

Sebastian Ernst is a Lecturer at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology in Kraków. His research focuses on Computer Science , Artificial Intelligence , and Smart Cities , with a strong emphasis on Geographic Information Systems (GIS) and Energy Efficiency in urban environments. University: AGH University of Science and Technology Faculty: Electrical Engineering, Automatics, Computer Science and Biomedical Engineering Department: Applied Informatics Position: Lecturer Contact: ernst@agh.edu.pl Office: C-2, 4th floor, room 424 Phone: +48 12 617 51 95 His recent publications highlight trends in Graph-Based Modeling , Smart Lighting Systems , and Robust Algorithm Design for urban infrastructure. He explores Pairwise Comparisons , GIS Applications , and Energy Conservation through computational methods.

• Graph transformations
• Smart city technologies
• IoT networks
• +۶ مورد دیگر

Leszek Kotulski is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His office is located in building C-2, 4th floor, room 425, with contact number +48 12 617 51 93 and email kotulski@agh.edu.pl. He serves on the Disciplinary Council for Technical Information Technology and Telecommunications. Professor Kotulski's research focuses on graph-based computational methods applied to smart city infrastructure, particularly in energy-efficient street lighting systems and IoT networks. His work integrates graph transformations, multi-agent systems, and spatial data processing to optimize urban infrastructure. He has developed innovative approaches for digital twin generation, lighting system modernization, and energy conservation in urban environments. His research bridges computer science with practical urban engineering challenges, creating solutions that improve both efficiency and sustainability of city infrastructure. Analysis of his recent publications reveals a clear research trajectory focused on applying graph theory to urban infrastructure challenges, with a particular emphasis on lighting systems. His work demonstrates increasing sophistication in integrating IoT networks with graph-based computational models, evolving from basic lighting control systems to comprehensive smart city solutions involving digital twins and distributed network configurations. The interdisciplinary nature of his research connects computer science, electrical engineering, and urban planning, with consistent contributions to both theoretical frameworks and practical implementations. Professor Kotulski has made significant contributions to the field through his development of graph-based methods for optimizing public lighting systems, energy conservation in smart cities, and spatial data processing techniques. His work on reactive power compensation algorithms for street lighting and graph-based approaches to lighting retrofit projects demonstrates practical applications of his theoretical research. His research activities include leadership in the GRADIS (Graph-based Distributed Adaptive Design) project and contributions to the Alvis modeling language for embedded systems. He has developed multi-agent systems supporting automated photometric computations and large-scale lighting design, creating frameworks that enable more efficient urban infrastructure planning and management.

Antonis Hadjiantonisمشاهده پروفایل

دانشیار

• Power Systems Engineering
• Optical Fiber Communications
• Telecommunications Networks
• +۳ مورد دیگر

Antonis Hadjiantonis serves as Associate Professor in the Department of Engineering at the School of Sciences and Engineering, University of Cyprus, where he conducts research at the intersection of power systems engineering and optical communications. His work addresses critical challenges in electrical infrastructure modernization and network efficiency. His academic credentials include: PhD in Electrical Engineering from City University of New York Master of Philosophy in Electrical Engineering from City University of New York Master's degree in Electrical Engineering from The City College of New York Bachelor's degree in Electrical Engineering from The City College of New York Dr. Hadjiantonis specializes in power quality enhancement through innovative compensator designs and optical network optimization. His research portfolio demonstrates dual expertise in power systems (focusing on reactive power management, STATCOM applications, and transformer design) and telecommunications (specializing in passive optical networks, WDM systems, and multicasting architectures). Recent projects emphasize practical implementations for grid stability and high-bandwidth optical solutions. Analysis of his 2018-2023 publications reveals a strategic shift toward power systems engineering, with 80% of recent outputs addressing reactive power compensation, VAR management, and STATCOM optimization. This pivot complements his foundational work in optical networking, creating synergies between power infrastructure modernization and communication network design. Scientific recognition: No formal awards documented in current profile Professional trajectory shows progressive industry-academia integration through roles including Founder/Director of N.E.A Engineering Ltd. (2017-present), Senior Researcher positions at Cyprus Academic Research Institute (2008-2011) and Signal Generix Ltd (2005-2008), and early-career research at AT&T Labs and Photonics Laboratory. Current work focuses on bridging theoretical power systems research with industrial applications through his engineering consultancy. Laboratory affiliations include historical associations with the Photonics Laboratory and Next Generation Networking Group during his research assistant tenure (2000-2006), though no dedicated current research facility is specified in his institutional profile.

Orna Kupfermanمشاهده پروفایل

استاد

• Formal Verification
• Synthesis of Computer Systems
• Automata Theory
• +۲ مورد دیگر

Orna Kupferman is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem. She received her PhD in 1995 from the Technion and has established herself as a leading researcher in theoretical computer science with a focus on formal methods. Her research centers on the theoretical foundations of formal verification and synthesis of computer systems, with special emphasis on automata theory and game theory applications. Kupferman's work bridges abstract theoretical concepts with practical verification challenges, developing frameworks for analyzing and constructing reliable computer systems. Her research has consistently explored the intersection of logic, computation, and strategic behavior in system design. Analysis of her recent publications reveals a strong focus on game-theoretic approaches to system verification and synthesis, with increasing attention to privacy concerns, weighted objectives, and uncertainty modeling. Her work spans multiple prestigious venues including ATVA, CONCUR, TACAS, and ICALP, demonstrating both depth and breadth in theoretical computer science. Professor Kupferman actively contributes to the academic community through teaching courses such as Formal Verification of Reactive Systems and maintaining a robust publication record that continues to grow with significant contributions through 2025. She is also engaged in broader societal issues, as evidenced by her participation in Israel's democracy movement.

Oliver Masonمشاهده پروفایل

استاد

• Systems and Control Theory
• Matrix Theory
• Mathematics of Data Privacy
• +۴ مورد دیگر

Oliver Mason is a Professor at Maynooth University's Faculty of Science & Engineering , specializing in Mathematics and Statistics . His academic career includes significant contributions to systems theory, matrix analysis, and data privacy. PhD in Lyapunov Stability Theory (2004, Maynooth University) Prior work in satellite communications and Institute of Technology sector Research Interests : Systems and Control Theory for switched systems with time-delay and uncertainty Matrix Theory including D-stability and diagonal stability Mathematics of Data Privacy with focus on differential privacy Max-Algebra applications in asymptotic behavior analysis Wave Energy Converters (WECs) performance optimization Recent Publications show expertise across Ecological Modeling (2023), Control Theory (2022-2018), Linear Algebra (2018-2015), and Data Privacy (2020-2016). Teaching includes modules like Numerical Analysis, Mathematical Biology, and Computational Tools for Research. Professional Roles : Organizer of Hamilton Institute Workshops, TPC member for multiple international conferences.

Ching-Lien Hsiaoمشاهده پروفایل

دانشیار

• Semiconductor Materials
• Nanotechnology
• Thin Film Physics
• +۳ مورد دیگر

Ching-Lien Hsiao is an Associate Professor (Docent) at the Department of Physics, Chemistry and Biology (IFM), Linköping University. His research focuses on the development of electronic-grade III-nitride semiconductor thin films and nanostructures using magnetron sputter epitaxy for industrial applications in chiroptical elements, electronics, and optoelectronics. PhD in Physics from National Sun Yat-Sen University, Taiwan (2004) Postdoctoral research at National Taiwan University (2004-2008) Current appointments: Associate Professor at IFM, Linköping University His work spans the synthesis and characterization of AlN, GaN, and InN materials, with a particular emphasis on understanding atomic-scale processes during film growth. Research applications include high-power electronic devices, optical elements, and quantum technologies. Scientific funding includes support from the Swedish Research Council, Swedish Energy Agency, Olle Engkvist Foundation, and STINT. Recent publications highlight advancements in gallium oxide devices, tantalum nitride growth mechanisms, and magnetron sputtering techniques for semiconductor applications. Key Awards: Outstanding Postdoc Fellowship, National Science Council, Taiwan (2008)

• Fluid Machinery
• Hydrogen Engine Combustion
• Computational Fluid Dynamics
• +۵ مورد دیگر

Paolo Tamburrano serves as an Associate Professor in the Department of Mechanics, Mathematics and Management at Polytechnic University of Bari, Italy. His primary research focuses on fluid machinery and hydrogen engine combustion systems, with affiliations centered around advanced propulsion and sustainable energy technologies. His research interests span Fluid Machinery , Hydrogen Engine Combustion , and Computational Fluid Dynamics , with significant contributions to understanding lubricant-oil interactions in hydrogen engines, cryogenic heat exchanger design for aviation, and biomethane liquefaction processes. Recent work investigates cavitation phenomena in piezohydraulic systems and digital hydraulic valve technologies. Analysis of his 15 most recent publications reveals a strong emphasis on hydrogen propulsion systems (60% of works), advanced hydraulic technologies (25%), and sustainable energy conversion (15%). Key recurring themes include chemical kinetics modeling, combustion instability prevention, and system optimization for alternative fuels. No scientific awards or honors are documented in the available materials. Professor Tamburrano maintains active research collaborations in aircraft fuel systems and hydraulic actuation technologies, with significant focus on sustainable aviation applications. His work demonstrates consistent funding support for experimental validation and computational modeling projects. Current research activities include developing the HyLube mechanism for hydrogen engine pre-ignition prevention and designing cryogenic systems for liquid hydrogen aircraft integration, with several 2025-2026 publications indicating ongoing experimental programs.

• Artificial Intelligence
• Machine Learning
• Smart Environments
• +۳ مورد دیگر

Mario Muñoz Organero serves as a Full Professor in the Telematics Engineering Department at University Carlos III of Madrid, concurrently directing the University Master's Degree in Connected Industry. His academic profile centers on leveraging computational intelligence to address complex challenges across healthcare, urban systems, and educational frameworks through rigorous interdisciplinary collaboration. His research spans Artificial Intelligence, Machine Learning, and Smart Environments with significant applications in Healthcare Informatics (pancreatic cancer registries, diabetes management), Transportation Systems (traffic flow optimization, commuter stress analysis), and Educational Technology (generative AI for learning, micro-credentials). He pioneers context-integrated neural network architectures for sensor data interpretation in real-world environments, emphasizing practical deployment in smart cities and clinical settings. Analysis of his 2023-2025 publications reveals a distinctive interdisciplinary trajectory where machine learning methodologies bridge traditionally separate domains. Recurrent and graph neural networks form the technical backbone for projects ranging from pandemic-influenced traffic modeling to blockchain-enabled agricultural trading in Colombia, while explainable AI frameworks increasingly inform educational applications. This cross-pollination of techniques demonstrates exceptional adaptability in addressing domain-specific constraints across medical, transportation, and pedagogical contexts.