Find Academic Supervisors

• Materials Engineering
• Electrical and Electronic Engineering
• Nanotechnology
• +3 more

Anthony Holland is a Professor in the School of Engineering at RMIT University, specializing in semiconductor materials and device fabrication. His research focuses on thin film technology, microfabrication, and electrical contacts for advanced materials like Ge, SiC, and InP-based heterostructures. He has pioneered work on functional oxide thin films and nanostructured layers. Key research interests include semiconductor test structures, microelectronics, and the development of novel materials for electronics and sensing applications. Holland has supervised over 15 research projects, including studies on piezoelectric materials, gallium oxide semiconductors, and biosensors for chronic disease management. Recent publications highlight advancements in gallium oxide thin films for UVC sensing, quantum physics-based models for ohmic contacts, and atomically thin oxides derived from bismuth liquid metal. His work bridges fundamental materials science with applied engineering solutions. Supervision: 15+ active projects in semiconductor materials, thin films, and device fabrication. Grants & Industry Links: Engaged with industry through The Vacuum Society of Australia (past presidency).

Hussam AmrouchView profile

Professor

• AI Hardware Acceleration
• Emerging Nanoelectronics
• Cryogenic Circuits
• +4 more

Prof. Hussam Amrouch is a Full Professor of AI Processor Design at the Technical University of Munich (TUM), leading the TUM School of Computation, Information and Technology. His research focuses on ultra-efficient embodied AI, reliable designs in emerging technologies, and cryogenic circuits for quantum computing. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (2015, Summa cum Laude) and previously led the "Dependable Hardware" group at KIT and the Chair of Semiconductor Test and Reliability at University of Stuttgart. He is affiliated with Munich Quantum Valley (MQV) and Munich Institute of Robotics and Machine Intelligence (MIRMI). Research interests include ferroelectric FETs, in-memory computing, cryogenic electronics, and neuromorphic systems. Key achievements include 10× HiPEAC Paper Awards, 3× DAC/DATE best paper nominations, and pioneering work on FeFET-based AI accelerators. His work bridges nanoelectronics with AI, addressing challenges in energy efficiency, reliability, and quantum integration. Publications span cutting-edge topics like cryogenic FinFETs, hyperdimensional computing, and monolithic 3D integration. He has developed novel testing methodologies, self-aware silicon systems, and energy-efficient architectures for edge-AI. Current projects explore cryogenic circuit design, radiation-resistant FeFETs, and carbon-efficient 3D neural networks. His awards reflect contributions to high-performance and embedded architectures. Research groups under his leadership focus on device-level innovations and system-level integration of emerging technologies. He actively contributes to interdisciplinary initiatives at MQV and MIRMI, advancing quantum computing and AI hardware frontiers.

Roel BaetsView profile

Professor

• Silicon Photonics
• Photonic Integrated Circuits
• Optical Sensors
• +4 more

Roel Baets is a Professor at Ghent University's Department of Information Technology (INTEC), affiliated with the Faculty of Engineering and Architecture. He leads research in silicon photonics, photonic integrated circuits, and their applications in biomedical engineering, environmental monitoring, and sensor technology. His work bridges academic and industrial collaboration through platforms like ePIXfab and Imec. Key roles include leading the Photonics Research Group and serving as a Fellow of the Optical Society (OSA) and IEEE Photonics Society. His research focuses on developing innovative photonic sensors (e.g., laser Doppler vibrometers, optical fiber Bragg sensors) and advancing heterogeneous integration techniques. Recent projects include clinical validation of cardiovascular monitoring systems and non-contact photoacoustic imaging. He also explores sustainable photonics solutions and environmental applications, such as solar radiation impact studies and CO₂ sensing. Notable achievements include pioneering work in micro-transfer printing for III-V/Si photonics and developing the Turbidimeter for low-resource healthcare settings. His awards reflect his contributions to photonics' theoretical and applied advancements, emphasizing interdisciplinary applications in medicine and sustainability.

Julián García FernándezView profile

Visiting Professor

• Semiconductor Physics
• Machine Learning
• Solid-State Physics
• +3 more

Julián García Fernández serves as a Visiting Professor at the University of Santiago de Compostela, based in Laboratory S2. His contact details include email: julian.garcia.fernandez2@usc.es and phone: +34 881816392. His primary research interests include: Semiconductor Physics Machine Learning Solid-State Physics Microelectronics Device Physics Computational Physics Dr. García Fernández's recent work demonstrates a focus on applying machine learning to semiconductor device simulation (TCAD) and thermal management. He has developed tools such as MLFoMpy for post-processing semiconductor data and novel workflows for optimizing cooling devices using solid-state physics principles. His research addresses challenges in ultra-scaled transistor technologies and device fluctuations, bridging computational methods with experimental physics. He is affiliated with Laboratory S2 at the University of Santiago de Compostela, which supports advanced research in semiconductor technologies and device physics through interdisciplinary collaboration.

Natalia Seoane IglesiasView profile

Associate Professor

• Semiconductor Device Simulation
• Nano-Device Variability
• Parallel and Distributed Computing
• +3 more

Natalia Seoane Iglesias serves as an Associate Professor in the Department of Applied Physics at the University of Santiago de Compostela's College of Physics. Her research integrates semiconductor device physics with high-performance computing to address challenges in next-generation electronics and energy conversion systems. B.Sc. in Physics, University of Santiago de Compostela (Spain) Ph.D. in Physics, University of Santiago de Compostela (2007) Postdoctoral research: University of Glasgow (2007-09), University of Edinburgh (2011), Swansea University (2013-15) Her research focuses on semiconductor device simulation , nanoscale variability analysis , and laser power conversion systems . She develops advanced computational tools combining 3D finite-element modeling with machine learning techniques to optimize device performance. Current projects target ultra-high efficiency (>80%) SiC-based laser converters for space applications and statistical variability studies in sub-10nm transistor architectures. Her publication portfolio reveals strong trends in machine learning-enhanced TCAD and high-concentration photovoltaics . Recent work demonstrates how vertical epitaxial heterostructures with SiC/GaN materials can overcome traditional efficiency barriers in wireless power transfer systems, while her nanoscale variability studies provide critical insights for future CMOS scaling. Key scientific contributions include: Development of MLFoMpy for semiconductor data post-processing Novel Pelgrom-based predictive models for device variability Breakthrough laser power converter architectures exceeding 80% efficiency Comprehensive studies of metal grain effects in nanosheet FETs She leads the rePowerSiC project (2024-2028) developing space-qualified laser power systems and contributes to multiple EU-funded initiatives in high-performance computing. Her team employs advanced simulation frameworks including VENDES and Silvaco Atlas for device characterization, with applications ranging from satellite power systems to refinery monitoring drones.