جستجوی استاد راهنمای دانشگاهی

Freja Stær Hincheli serves as a Lecturer at the Department of Computer Science , University of Copenhagen. Her work intersects multiple domains within machine learning, with a particular emphasis on quantum-inspired algorithms, medical imaging, and sustainable AI development. Keywords : Machine Learning, Quantum Computing, Medical Imaging, Natural Language Processing, Computational Biology Key Collaborations : SCIENCE AI Centre Her research spans quantum-enhanced neural networks, explainable AI for medical diagnostics, and energy-aware model design. Recent publications highlight applications in cross-cultural recipe adaptation, emotion-aware dialogue systems, and climate-conscious AI strategies. The Machine Learning Section at DIKU focuses on theoretical foundations and applications including medical image analysis , biological data modeling , and quantum computing , aligning with her contributions.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +۳ مورد دیگر

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +۳ مورد دیگر

Ole Richter is an Assistant Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on advanced device integration and neuromorphic processors, particularly leveraging beyond-CMOS technologies for embedded systems engineering. His recent work involves developing electronic circuits with silicon-based components and exploring neuromorphic architecture for adaptive memory materials. A 2025 publication in Nature Communications highlights his contributions to on-chip learning systems. Richter’s research has attracted attention from 3 news outlets and is accessible via his ORCID profile (0000-0001-5399-8992). Collaborations and publications reflect his expertise in neuromorphic electronics and device integration.

• Device Integration
• Neuromorphic Processors
• Complementary Metal-Oxide-Semiconductor Devices
• +۴ مورد دیگر