Find Academic Supervisors

• Machine Learning
• Perovskite Solar Cells
• Multiscale Modelling
• +4 more

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 HintermüllerView profile

Professor

• Applied Mathematics
• Optimization and Control
• Partial Differential Equations
• +4 more

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
• +3 more

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 DavidView profile

Researcher

• Organic Farming
• Agroecology
• Agroforestry
• +3 more

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
• +7 more

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 LesinaView profile

Professor

• Computational Electromagnetics
• Nanophotonics
• Metamaterials
• +7 more

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 BARRAView profile

Professor

• Data Analysis
• Image Processing
• Video Processing
• +6 more

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. UhlView profile

Associate Professor

• Solar Energy Conversion
• Photovoltaics
• Solar Fuels
• +2 more

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.

Milijana OdavicView profile

Professor

• Power Electronics
• Modular Power Converters
• Fault-Tolerant Systems
• +5 more

Professor Milijana Odavic is affiliated with the University of Sheffield as a member of the School of Electrical and Electronic Engineering . Her research focuses on power electronics systems, particularly modular multilevel converters, fault-tolerant designs for aerospace and electric vehicles, and stability analysis of power electronics-dominated distribution systems. Recent publications highlight her work on: Modular multilevel converter topologies (boost/buck modes) Wide-bandgap semiconductors for ultra-efficient converters Robust stability theory for systems with parametric uncertainties She leads MEng/MSc teaching modules and contributes to the EPSRC Prosperity Partnership: New Partnership in Offshore Wind. Professional roles include Erasmus coordination and Athena SWAN team membership.

• Microwave Engineering
• Terahertz Technology
• Superconducting Materials
• +2 more

Vincent Desmaris is a Researcher at Chalmers University of Technology, where he is part of the Advanced Receiver Development (GARD) unit. He specializes in developing and manufacturing microwave and terahertz components for cryogenic receiver systems. Desmaris also serves as the primary supervisor for doctoral students focusing on superconducting materials and components. His academic background includes an MSc in Materials Science from INSA-Lyon (1999) and a PhD in Microwave Electronics from Chalmers University of Technology (2006). He joined GARD immediately after completing his doctorate. Desmaris's research centers on advanced technologies for submillimeter-wave applications. Key areas include superconducting devices, terahertz component design, nanostructured energy storage systems, and cryogenic instrumentation. His work directly supports astronomical projects like ALMA and APEX telescopes through innovations in receiver technology. Recent publications (2022-2025) demonstrate strong focus on: Wideband terahertz waveguide components (OMTs, hybrids, transitions) GaN HEMTs and superconducting Nb devices for low-noise cryogenic systems Ultra-high-density capacitors using carbon nanostructures Novel fabrication methods for metallic micromachined substrates He has contributed to instrumentation projects including SEPIA heterodyne receivers and the Heterodyne Receiver for Origins (HERO) space telescope concept. As main doctoral supervisor in GARD, he mentors students in superconducting materials research but specific student names are not disclosed.

Huamin LiView profile

Associate Professor

• Nano-scale electronics
• Optoelectronics
• Low-dimensional materials
• +3 more

Huamin Li is an Associate Professor in the Department of Electrical Engineering at the School of Engineering and Applied Sciences, University at Buffalo, specializing in nano-scale electronics and optoelectronics based on low-dimensional materials. His research bridges fundamental material science with practical device applications for next-generation computing and energy systems. Education: PhD in Nano Science and Nano Technology, Sungkyunkwan University (2013) MS in Mechanical Engineering, Sungkyunkwan University (2010) BS in Physics, Shandong Normal University (2007) Dr. Li's research focuses on 2D materials for transistor engineering , optoelectronic devices , and energy applications . His team pioneers atom-thin transistors operating at half the voltage of conventional semiconductors (as highlighted in IEEE IEDM 2020 coverage by major tech media), steep-slope devices for beyond-CMOS electronics, and nanohybrid systems for batteries and hydrogen evolution. Key innovations include metal-semiconductor interface engineering and ferroelectric gating in 2D transistors. His publication trends reveal three dominant trajectories: (1) fundamental 2D device physics with emphasis on charge transport anisotropy, (2) energy applications through nanohybrid catalysts and battery materials, and (3) neuromorphic computing via synaptic transistors. Recent work increasingly integrates machine learning for materials discovery. Scientific Awards: Chinese Government Award for outstanding self-financed students abroad (2012) Dr. Li leads the Emerging Nanoelectronics Research Group, which has filed five US and Korean patents with Samsung Electronics Co., Ltd. His team secures collaborative grants spanning semiconductor physics, energy storage, and neuromorphic systems. He actively mentors graduate students and collaborates with interdisciplinary groups in physics, chemistry, and material science. The Emerging Nanoelectronics Research Group maintains strong industry partnerships and focuses on translating fundamental 2D material discoveries into practical electronic and energy applications through its highly collaborative environment.

• Photonic Crystals
• Metamaterials
• Quantum Optics
• +3 more

Nathalie Fabre is an Assistant Professor at Université Sorbonne Paris Nord, affiliated with the Laboratoire de Physique des Lasers (LPL, UMR 7538). She works in the Department of Electronics and Physics, focusing on advanced photonics and quantum optics research. Her office is located at 99, av. Jean-Baptiste Clément, 93430 Villetaneuse, France, with contact email nathalie.fabre@univ-paris13.fr. Dr. Fabre completed her doctoral studies at the University of Science and Technology of Lille in 2008 with a thesis titled "Left-hand materials and photonic crystals for optics: a dielectric approach," establishing her expertise in photonic crystal research and metamaterials. Her research focuses on photonic crystals, metamaterials, and quantum optics phenomena . Specifically, she investigates negative refraction effects, Casimir-Polder interactions, and applications of photonic crystal structures for optical devices. Her work bridges fundamental quantum phenomena with practical applications in nanophotonics and atomic physics. Dr. Fabre's experimental approach combines advanced nanofabrication techniques with precision optical measurements to explore light-matter interactions at the nanoscale. Analysis of her publication record from 2006-2024 reveals a consistent research trajectory in photonic crystal physics, with increasing focus on quantum atom-optical phenomena in recent years. Her early work concentrated on photonic crystal flat lenses and negative refraction, while her more recent publications explore Casimir-Polder interactions and quantum descriptions of atomic diffraction. This evolution demonstrates a natural progression from classical photonics to quantum optical phenomena, maintaining a strong connection to photonic crystal technology throughout. Dr. Fabre is an active member of the scientific community, with numerous publications in high-impact journals including Physical Review Letters, Physical Review Research, and Optics Express. Her collaborative work spans multiple institutions across France and internationally, including partnerships with Leibniz University Hannover and Nanyang Technological University. At the Laboratoire de Physique des Lasers, Dr. Fabre contributes to research in the "Atoms at interfaces" (OIA) and "Quantum gases" teams, working with advanced experimental setups including magneto-optical traps and near-field microscopy systems. Her laboratory work involves sophisticated nanofabrication techniques such as electron beam lithography and plasma etching to create the photonic crystal structures central to her research.

• Microelectronics
• Image Sensors
• Bio-inspired Algorithms
• +3 more

Juan Antonio Leñero Bardallo is a Professor at the University of Seville, Faculty of Physics, Department of Electronics and Electromagnetism. His research focuses on bio-inspired microelectronics, event-driven vision sensors, and CMOS integration techniques. Research Group: MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA Key Projects: SAMANTA2 (robotic vision), CAVIAR (event-based vision), VULCANO (event-driven imaging) His work spans asynchronous image sensors, thermography for medical diagnostics, stacked diodes for energy harvesting, and neuromorphic engineering. Recent publications highlight low-power sun sensors, self-powered imaging systems, and thermographic applications in dermatology. He has contributed to books on analog electronics and radiation detection. Patents include solar position sensors and electron energy detectors for scanning electron microscopy. His teaching subjects cover experimental techniques, integrated sensor design, and bio-inspired algorithms.

Kyriakos H. ZoirosView profile

Professor

• Optical Communications
• Photonics
• Optical Signal Processing
• +6 more

Professor Kyriakos H. Zoiros is a faculty member at the Department of Electrical and Computer Engineering, School of Engineering, Democritus University of Thrace (DUTH). Specializing in optical communications, he teaches undergraduate courses in Optical Telecommunications, Communications Networks, RF Circuit Design, and Electromagnetic Compatibility, alongside postgraduate courses on Optical Networks. His research interests include Purely optical signal processing Optical amplification and logic devices Optical computing Microring resonators Microwave photonics Free space optical communications Optical sensors Recent publications demonstrate expertise in photonic crystal semiconductor optical amplifiers, microring resonator optimization, and all-optical logic gate performance for high-speed telecommunications. His work spans optical signal processing, microwave photonics, and computational photonics applications. Professor Zoiros has contributed to international research programs such as MASSIVE (free space optic communication between unmanned vehicles), RF-EIGEN-SDR (software-defined radio structures), and SIROCOO (radio frequency conversion techniques).

• Silicon Photonics
• Optical Waveguides
• Defect Engineering
• +3 more

Andrew Knights is a Professor in the Department of Engineering Physics at McMaster University, with a research focus on silicon photonics and optical waveguide engineering. His work spans defect-mediated optical modulation, hybrid material integration, and photonic device optimization. Specializes in silicon photonics for mid-infrared applications Key contributions to defect engineering in silicon waveguides Develops hybrid silicon-organic and silicon-germanium photonic devices Recent research trends include subwavelength grating metamaterials, thermal resonance stabilization techniques, and high-speed silicon-based optical detectors. His publications emphasize SOI platforms, TeO2 cladding for active photonic circuits, and novel trimming methods for microring resonators. Knights' scholarly activity demonstrates deep expertise in CMOS-compatible photonic integration, with applications in optical interconnects, LIDAR, and biomedical sensing systems. His work bridges fundamental defect physics with practical device implementation in silicon photonics.