جست‌وجوی استاد و پژوهشگر

Mathias Polzمشاهده پروفایل

پژوهشگر

• Optoelectronic Neurostimulation
• Materials Science
• Mechanobiology
• +۵ مورد دیگر

Mathias Polz serves as a University Assistant and Ph.D. Researcher at Graz University of Technology's Institute of Biomechanics, Austria. His academic journey spans from Bachelor's to Doctoral studies in Biomedical Engineering at the same institution, with concurrent appointments at the Medical University of Graz through collaborative projects since 2020. His educational background includes: B.Sc. Biomedical Engineering (2015-2020, TU Graz) M.Sc. Biomedical Engineering - Biomedical Device Design and Safety (2020-2021, TU Graz) Ph.D. Candidate in Biomechanics (2023-present, TU Graz) Ph.D. Candidate in Health Care Engineering (2023-2025, TU Graz) Polz's research centers on optoelectronic neurostimulation and tissue-inspired biomaterials , with significant contributions to wireless biomimetic stimulators for cellular activation. His work bridges materials science and mechanobiology , focusing on organic semiconductor interfaces for neural and cardiac applications. Recent projects like LOGOS-TBI demonstrate his expertise in light-activated organic semiconductors for cell culture characterization. Analysis of his 8 publications (2022-2025) reveals three dominant research streams: optoelectronic neural stimulation (40% of works), cardiac electrophysiology interfaces (30%), and biomaterial biointegration (30%). His methodology consistently combines in vitro models with computational analysis , frequently employing organic photovoltaic devices for precise cellular activation. His scientific recognition includes: Zagreb Neuroelectronics Symposium Best Poster Award (1st place, 2022) Initiative Gehirnforschung Research Grant (2024) BioTechMed Best Collaborative Paper Award (2024) BioEl Best Poster Award (3rd place, 2025) Polz actively contributes to collaborative research initiatives including the LOGOS-TBI project with Medical University of Graz and B. Braun Melsungen. His grant portfolio features the Initiative Gehirnforschung award supporting neuroelectronics development. Beyond research, he mentors through Graz's Sindbad Program and organizes Pint of Science Austria events, demonstrating commitment to academic outreach. He operates within TU Graz's Biomechanics research ecosystem, collaborating with the Center for Biomarker Research in Medicine and international partners like CREAX (Belgium). His current Ph.D. focuses on wireless biomimetic stimulators for optoelectronic cellular activation , building on prior work with organic photocapacitors for neuronal network stimulation.

Nutifafa Yao Doumonمشاهده پروفایل

استادیار

• Materials Science
• Solar Energy Technology
• Organic Electronics
• +۵ مورد دیگر

Dr. Nutifafa Yao Doumon is an Assistant Professor in the Department of Materials Science and Engineering at Pennsylvania State University’s College of Earth and Mineral Sciences. His research focuses on next-generation optoelectronic and photovoltaic devices, emphasizing stability, reliability, and degradation mechanisms of organic and hybrid semiconductors, with applications in flexible electronics and sustainable energy systems. Ph.D. in Nanoscience (Applied Physics), University of Groningen M.A. in Leadership, Honors College, University of Groningen M.Sc. in Nanoscience and Theoretical Physics B.Sc. in Physics from University of Ghana His work spans organic solar cells, perovskite photovoltaics, and quantum dot semiconductors, with expertise in device fabrication, stability testing, and characterization under ambient conditions. He previously held positions at NREL (USA), INRS (Canada), and University of Groningen (Netherlands). Key research themes include organic/polymer solar technologies , halide perovskite stability , and multidisciplinary energy transition solutions . His lab collaborates with Penn State’s Steidle Building, Millennium Science Complex, and external institutions. 2025 Royal Society of Chemistry Emerging Investigator National Academies U.S.-Africa Frontiers Fellow Zernike Institute Topmaster Nanoscience Scholarship Dr. Doumon advocates for women in STEM , climate action, and sustainable energy deployment. His lab prioritizes diversity, equity, and inclusion in research environments.

Anthony D'ALEOمشاهده پروفایل

پژوهشگر

• Organic Electronics
• Photophysics
• Near-Infrared Fluorescence
• +۳ مورد دیگر

Anthony D'ALEO is a Senior Researcher at the Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), University of Strasbourg, specializing in organic photonic materials. He completed his PhD at the University of Amsterdam under Prof. Luisa De Cola, followed by postdoctoral work at ENS Lyon and UC Berkeley with Prof. Kenneth N. Raymond. His career includes CNRS positions at CINaM (2009-2016), leading roles in the CNRS-Ewha International Research Center (2016-2017) and UMI 2B FUEL (2017-2019), and a leave period at startup KOALA Tech Inc. His research focuses on designing fluorescent π-conjugated organic molecules for applications in organic electronics, lasers, and bioimaging. Research Interests: Near-infrared (NIR) organic emitters Thermally activated delayed fluorescence (TADF) Hyperbolic metamaterials Photophysical characterization Organic laser dyes Epsilon-near-zero (ENZ) materials Publications demonstrate expertise in boron complexes, lanthanide sensitization, and molecular design for optoelectronic devices, with recent work on donor-acceptor architectures and nonlinear optical responses. Collaborations span institutions including UC Berkeley, CNRS-Ewha, and Ewha Womans University. Education: PhD in Chemistry, University of Amsterdam (2006) MSc in Chemistry, University of Bordeaux I

• Scientific Computing
• Numerical Analysis
• Numerical Methods for PDE
• +۴ مورد دیگر

Professor Talal Rahman is a faculty member at the Western Norway University of Applied Sciences, where he works in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His office is located at Bergen KRONSTAD D305, and he can be reached at phone number +47 55 58 72 46. Professor Rahman's research spans several key areas in computational mathematics and scientific computing. His primary research interests include: Scientific Computing Numerical Analysis Numerical Methods for Partial Differential Equations Preconditioning Finite Element with Domain Decomposition Methods Variational Image Processing Artificial Intelligence and Machine Learning applications Professor Rahman's extensive publication record demonstrates a strong focus on domain decomposition methods, particularly Schwarz methods and their applications to multiscale problems. His recent work shows an increasing integration of machine learning techniques with traditional numerical methods, as evidenced by publications on neural network applications for environmental modeling and capelin migration patterns. His research also extends to biomedical applications, including computational analysis of biodegradable materials and bone tissue engineering scaffolds. He has made significant contributions to the development of adaptive preconditioners and parallel algorithms for solving complex numerical problems, with his work on the TV-Stokes model for image processing representing an important contribution to the field of variational image processing. Professor Rahman has supervised numerous research projects and students, though specific student names are not provided in the available information. His research appears to be supported by grants related to computational science and engineering, though specific grant details are not mentioned in the provided text. Based on his research areas, Professor Rahman likely collaborates with various research groups focused on computational science, with potential connections to biomedical engineering labs and environmental research teams studying the Barents Sea ecosystem.

ALVARO GIL GONZALEZمشاهده پروفایل

استاد

• Materials Science
• Soil Chemistry
• Catalysis
• +۴ مورد دیگر

Professor Alvaro Gil Gonzalez is affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela . As a researcher at the Materials Institute (iMATUS) and member of the Strategic Grouping in Materials (AEMAT) , he specializes in Soil Science and Agricultural Chemistry while leading research in ceramics, industrial materials, and advanced manufacturing techniques through his leadership of the CMInd research group. PhD in Chemistry (University of Santiago de Compostela, 2000) Focus on 3D printing, catalytic materials, and sustainable construction Active in European research projects (2007–2023) His research interests span: 3D Printing of functional ceramics and catalytic systems Catalysis for chemical reactions and environmental applications Sustainable Materials using agricultural waste (argan shells, wheat straw) Ceramic Science including alumina composites and photonic crystals Environmental Engineering through industrial waste recycling Recent publications (2017–2025) demonstrate expertise in: 3D-printed catalytic systems Waste-to-resource material design Graphene-oxide composites Metal-free photocatalysis Nanostructured healthcare materials Photonic crystal fabrication As a faculty member at USC, he combines academic leadership with experimental innovation in advanced material synthesis and characterization techniques.

• Semiconductor Epitaxy
• Photovoltaics
• Photonics
• +۶ مورد دیگر

Richard Arès is a professor at the University of Montreal specializing in semiconductor epitaxy, photovoltaics, and photonics. His research spans electrical engineering, mechanical engineering, and condensed matter physics. Doctorate in Physics from Simon Fraser University (1998) Master's in Physics from Université de Montréal (1993) Bachelor's in Physics from Université de Montréal (1990) His work focuses on: Advanced semiconductor growth techniques High-efficiency multi-junction solar cells Photonics device fabrication Nanomaterials engineering Surface and interface analysis Process control in ultra-high vacuum environments Recent publications highlight expertise in: Through-cell via contacts for photovoltaics Quantum dot enhanced solar cells Mesoporous semiconductor structures Nonlinear optical waveguides Temperature-sensitive epitaxy processes

Dominik Walterمشاهده پروفایل

پژوهشگر

• Hardware-Software Co-Design
• Processor Arrays
• Embedded Systems
• +۳ مورد دیگر

Dominik Walter is a Researcher at the Department of Computer Science 12 (Hardware-Software Co-Design) at the University of Erlangen-Nuremberg (FAU), where he has been working since 2019. His research focuses on innovative approaches to hardware-software integration, particularly in the domain of processor array architectures and embedded systems design. Walter completed his educational journey at the University of Augsburg, earning a B.Sc. in Computer Science and Multimedia (2013-2016) followed by an M.Sc. in Computer Science (2016-2019). This strong foundation in both theoretical and applied computer science has informed his current research direction. His primary research interests center around Hardware-Software Co-Design, with particular expertise in Tightly Coupled Processor Arrays and Invasive Computing paradigms. Walter's work explores how to optimize resource allocation in parallel computing environments, improve energy efficiency in embedded systems, and develop novel approaches for real-time data processing. His research bridges theoretical computer architecture concepts with practical implementation challenges. Walter's publication record from 2020-2025 reveals a consistent research trajectory focused on processor array architectures and their applications. His work spans both theoretical foundations and practical implementations, with contributions to sustainable computing, real-time systems, and hardware acceleration techniques. A notable pattern in his research is the application of invasive computing principles to solve complex parallel processing challenges across various domains. As a researcher at FAU's Department of Computer Science 12, Walter is part of a vibrant research community focused on cutting-edge hardware-software integration problems. His work contributes to the department's reputation in processor architecture and embedded systems design, with potential applications in high-performance computing, embedded AI, and energy-efficient computing systems.

• Machine Learning
• Perovskite Solar Cells
• Multiscale Modelling
• +۴ مورد دیگر

Ioannis Kouroudis is a Researcher at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . He works under the Associate Professorship of Simulation of Nanosystems for Energy Conversion led by Prof. Alessio Gagliardi , focusing on computational methods for energy materials. Research Interests : Machine Learning, Perovskite Solar Cells, Multiscale Modelling, Materials Optimization, Optoelectronics, and Catalyst Modeling. Education : Holds an M.Sc. degree, though specific institutions are not detailed in the text. His recent publications highlight trends in applying Machine Learning and AI-driven optimization to problems in materials discovery and perovskite solar cell stability . Collaborative work spans computational modeling , experimental automation , and optoelectronic characterization . No scientific awards are explicitly mentioned. In teaching, he assists in courses like Computational Materials Design and Python for Engineering Data Analysis , and contributes to seminars on quantum engineering and machine learning. He participates in active research projects such as the DFG e-Conversion Cluster III and TUM Innovation Network ARTEMIS , focusing on energy conversion interfaces and machine learning integration.

Michael Hintermüllerمشاهده پروفایل

استاد

• Applied Mathematics
• Optimization and Control
• Partial Differential Equations
• +۴ مورد دیگر

Prof. Michael Hintermüller is the Director of the Weierstrass Institute (WIAS) and holds a professorship in Applied Mathematics at Humboldt-Universität zu Berlin. He serves as Founding Coordinator of BR50, Spokesperson of the Mathematical Research Data Initiative (MaRDI), and Board Member of the MATH+ Cluster of Excellence. His research focuses on nonsmooth optimization, PDE-constrained control, mathematical image processing, and quasi-variational inequalities. Leadership Roles: Director of WIAS; Founding Coordinator of BR50; Spokesperson of MaRDI; Board Member of MATH+ Key Research Areas: Mathematical image processing, optimization under uncertainty, PDE-constrained optimization, shape/topology optimization, learning-informed constraints Recent Applications: Image deblurring/denoising/demodulation, energy network modeling, gas dynamics on pipeline networks, thermoforming simulations, strained photonic device design. His work combines analytical rigor with numerical methods for inverse problems, including adaptive regularization and physics-informed neural networks. Scientific Leadership: Active in mathematical modeling for biomedical imaging (e.g., quantitative MRI) and industrial applications (e.g., semiconductor design, gas flow optimization). Develops novel algorithms for nonsmooth PDE systems and contributes to the theoretical foundations of quasi-variational inequalities and generalized Nash equilibrium problems.

• Chaos Control
• Nonlinear Dynamics
• Power Electronics
• +۳ مورد دیگر

Cristina MOREL is a Permanent lecturer-researcher at ESTACA since 2020, specializing in electrical engineering and control systems. Previously, she held academic positions at ESEO (2016-2020) and the IUT of Angers (2000-2020), and began her career at the Technical University of Cluj-Napoca (1992-1999). Her research focuses on nonlinear dynamics, chaos control, and applications in power electronics and renewable energy systems. Dr. MOREL holds a Doctorate in Automatics and Applied Computer Science from the University of Angers (2005) and a Habilitation to Direct Research (2016). She earned her Graduate Engineer degree in Automation and Computer Science from the Technical University of Cluj-Napoca (1992), where she was Vice-major of her promotion. 2016: Habilitation to Direct Research in Electronics, University of Angers 2005: Doctorate in Automatics and Applied Computer Science, University of Angers 1992: Graduate Engineer in Automation and Computer Science, Technical University of Cluj-Napoca Her research spans chaos control , nonlinear dynamics , and their applications in power electronics and renewable energy systems . She pioneered anticontrol of chaos to reduce electromagnetic interference in power converters and developed novel maximum power point tracking (MPPT) algorithms for photovoltaic systems under partial shading. Current work focuses on fault diagnosis for electric vehicle powertrains using entropy analysis and neural networks. Recent publications (2022-2025) show strong focus on chaos applications for MOSFET thermal management, entropy-based fault diagnosis in inverters, and energy storage optimization for electric vehicles and drones. There is clear evolution toward data-driven approaches (neural networks) for fault detection and real-world applications in e-mobility. Dr. MOREL has received several academic honors early in her career: Winner of the National University Assistant Competition (Romania, 1996) Winner of the National University Preparation Competition (Romania, 1993) Winner of the national entrance exam to the Polytechnic School of Cluj-Napoca (1987, 15th out of 700 candidates) She has supervised five PhD theses and three Master's research projects on topics including fault diagnosis in polyphase machines, energy management for battery-ultracapacitor vehicles, and MPPT for photovoltaic systems. Her research is supported by collaborations with University of Angers, ESEO, and ESTACA laboratories. Dr. MOREL led the Automation and Electrical Engineering research group at ESEO (2016-2018) and the Energy and Environment option (2016-2020), conducting experimental work in power electronics and control systems laboratories focused on converter design and EV powertrain validation.

Christophe Davidمشاهده پروفایل

پژوهشگر

• Organic Farming
• Agroecology
• Agroforestry
• +۳ مورد دیگر

Christophe David is a researcher at ISARA, affiliated with the Engineering School in Agronomy, Food, and Environment. His work focuses on agroecology, organic farming systems, and perennial cereals, with projects spanning crop microbiome analysis, sustainable cocoa cultivation, and water resource conservation. PhD in Agricultural Sciences (AgroParisTech, 2004) Habilitation à diriger des recherches (HDR, 2010) Ingénieur ENESAD (1993) Research interests center on agroecological transitions of cropping systems, particularly perennial cereals like Thinopyrum intermedium . His projects address ecosystem services, nitrogen dynamics, soil health, and the socio-technical challenges of adopting perennial crops in conventional and organic farming. He also explores sustainable cocoa systems through agroforestry versus monocropping approaches. Google Scholar publications reveal a broad scope: 2024 work includes root microbiome analysis, SARS-CoV-2 epidemiology (possibly collaborative), and hydrogen aircraft design (potential cross-disciplinary). 2023-2022 articles emphasize perennial crop ecology, weed dynamics, and nutrient management frameworks. Professional experience includes leadership roles at ISARA since 2003: Deputy Director (2019-present), Executive Director (2010-2018), Scientific Director (2006-2018), and Department Head (2004-2010). He has collaborated internationally, including at Mac Gill University (2003).

• Nanophotonics
• Optoelectronics
• Photovoltaics
• +۷ مورد دیگر

Federica Cappelluti is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino (Polytechnic University of Turin) . She serves as the Director of the Open Science Study Center , a Member of the Coordinating Committee of the Polito for Social Affairs , and a Scientific Advisor for the European Open Science Cloud (EOSC) Association . Her academic roles include leadership in Non-commercial collaborative agreements (Italian Computing and Data Infrastructure, Italian Association for Open Science) Research projects funded by EU and national grants (FEDRA, CLAIRE, Skills4EOSC, MIRACLE, TFQD) Research Interests: Federica specializes in Nanophotonics , Optoelectronics , Photovoltaics , and Semiconductor Device Modeling . Her work focuses on Radiative cooling for solar cells Perovskite/silicon tandem solar cells High-speed semiconductor devices Applied photonics for energy efficiency Article Trends: Recent publications highlight her innovations in Photovoltaic radiative cooling using cement-based materials 3-terminal tandem solar cell architectures Quantum dot and intermediate band solar cell engineering Thermal management of multi-junction cells Modeling and simulation of photonic devices Cost-effective photovoltaic materials Scientific Awards: She holds an International Patent for Cement composites for radiative cooling (co-inventor with Matteo Cagnoni) Advising and Grants: Federica supervises PhD students in Artificial Intelligence (Giacomo Fantino) Electrical, Electronics, and Communications Engineering (Antonio Fronteddu, Pietro Testa) Completed PhD research (Gemma Giliberti: 3-Terminal Perovskite/Silicon Tandems) She leads competitive projects including FEDRA : FAIR data lake for research assessment CLAIRE : Perovskite/silicon solar cells MIRACLE : Photonic Metaconcrete for energy savings Labs and Teams: She collaborates with the Microwave and Optoelectronics Group (MOG) at DET and contributes to the PhotoNext Interdepartmental Center for applied photonics. Her work intersects with Nexa Center for Internet & Society in open science initiatives.

Antonio Calà Lesinaمشاهده پروفایل

استاد

• Computational Electromagnetics
• Nanophotonics
• Metamaterials
• +۷ مورد دیگر

Antonio Calà Lesina is a Full Professor in Computational Photonics at the Leibniz University Hannover , leading research at the Hannover Centre for Optical Technologies . His academic journey includes a PhD in Information and Communication Technology from the University of Trento (2013), followed by postdoctoral and associate professor roles at the University of Ottawa (2013–2020). His research spans Nanophotonics , Metamaterials , and Plasmonics , focusing on inverse design, topology optimization, and dynamic control of optical systems via multiphysics simulations. Education : PhD (University of Trento, 2013); MSc in Telecommunications Engineering (University of Catania); BSc in Electronics Engineering (University of Catania) Current Position : Full Professor (Leibniz University Hannover, 2020–2025) His work explores Light-Matter Interactions and Nanostructures , with recent publications on anapole states , multiresonant metasurfaces , and hyperbolic metamaterials . He employs Finite-Difference Time-Domain (FDTD) simulations and deep learning for inverse design in nanophotonics. Collaborations include institutions like the University of Ottawa and research centers in Europe, aligning with the EULiST alliance . Despite no explicit awards mentioned, his contributions to optical beam steering , nonlinear metasurfaces , and machine learning integration highlight his impact in the field.

Vincent BARRAمشاهده پروفایل

استاد

• Data Analysis
• Image Processing
• Video Processing
• +۶ مورد دیگر

Vincent BARRA is a full professor in Computer Science at the LIMOS lab of Clermont-Auvergne University and CNRS. He serves as Vice dean of Clermont-Auvergne-INP (education and training), Assistant director of LIMOS, and Artificial Intelligence Special Advisor for Clermont-Auvergne University. He is also a member of the scientific board and Executive committee of MIAI Cluster. His academic work is primarily conducted through ISIMA, the engineering school in computer science of Clermont-Auvergne INP. Professor BARRA's research focuses on data analysis from both methodological and applicative perspectives. His work spans image and video processing, mesh processing, computational geometry, and machine/deep learning techniques. His interdisciplinary research connects computer science with applications in medical imaging, geothermal systems, polymer dynamics, mental health diagnostics, semiconductor manufacturing, and environmental monitoring. His publications demonstrate consistent innovation in developing algorithms for segmentation, feature extraction, and pattern recognition across diverse domains. The analysis of his recent publications reveals strong trends toward deep learning applications in specialized domains. His work shows increasing focus on medical applications (depression diagnosis, preterm birth prediction), geoscience (geothermal systems analysis), and industrial applications (semiconductor metrology, structural health monitoring). A consistent theme across his research is the development of robust, domain-specific deep learning architectures that address unique challenges in data analysis across different scientific fields. Professor BARRA maintains active collaborations across multiple institutions and disciplines, as evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in diverse fields, demonstrating a commitment to solving real-world problems through innovative computational approaches. He leads research within the LIMOS laboratory, which focuses on computer science, modeling, and systems optimization.

Alexander R. Uhlمشاهده پروفایل

دانشیار

• Solar Energy Conversion
• Photovoltaics
• Solar Fuels
• +۲ مورد دیگر

Dr. Alexander R. Uhl is an Associate Professor at the Okanagan School of Engineering, University of British Columbia, holding the Principal's Research Chair in Solar Energy Conversion. His research focuses on solution-processed solar cells, including chalcogenide and perovskite absorbers, with an emphasis on scalable, low-cost fabrication methods. He has achieved world-record efficiencies in CuIn(S,Se) 2 solar cells. Education: PhD in Materials Science & Engineering from ETH Zurich; Diploma in Nanoscale Engineering from University of Würzburg Postdoctoral Experience: University of Washington (with Hugh Hillhouse) and EPFL (with Michael Grätzel) His research program addresses three key areas: Solution-processed thin film solar cells Tandem photovoltaic devices Photoelectrochemical CO 2 reduction for solar fuels Dr. Uhl has published in journals like Nature Energy , Science Advances , and Advanced Energy Materials , with recent work on 22%+ efficient perovskite cells and rear surface passivation techniques. He has filed two patents on solution-processed chalcogenide solar cells. Scientific Recognition: Principal's Research Chair in Solar Energy Conversion Three-time Swiss National Science Foundation Fellow Invited book chapter on perovskite solar cell counter electrodes He supervises graduate students and teaches courses in materials science and alternative energy systems. His lab (LSEF) develops technologies aiming to surpass coal-equivalent electricity prices through ink-jet printing and high-throughput manufacturing.