ZHEJIANG UNIVERSITY

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Methods and apparatus for measuring magnetic fields or utilizing magnetic resonance principles for medical diagnostics, material analysis, or precise localization, including gradient field measurement in MRI.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Techniques and systems for precisely measuring electrical or electromagnetic properties of materials or components, often involving specialized resonators, waveguides, or multi-range measurement systems to ensure accuracy.

Technologies and materials for capturing carbon dioxide from gas streams and subsequently converting it into valuable chemical products or materials, rather than simply storing it.

Using computational design and simulation to optimize the performance characteristics of specific components or materials within a larger engineering system.

Specific techniques and materials developed to remove persistent or difficult-to-treat pollutants from water, such as per- and polyfluoroalkyl substances (PFAS), micropollutants, or specific industrial chemicals.

Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.

Development of materials with tailored porosity, surface chemistry, or structure, such as metal-organic frameworks (MOFs), zeolites, or superficially porous particles, for selective adsorption, ion exchange, or chromatographic separations.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.

Design and control of power supply architectures that combine multiple power sources (e.g., AC grid, DC battery, generators) or modular battery units, often featuring switching, conversion, and redundancy for enhanced reliability and flexibility.

Technologies and systems for removing unwanted components or separating desired gases from a mixed gas stream, including adsorption, absorption, and membrane-based methods.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.

Development and synthesis of catalysts with unique compositions or structures, such as medium entropy alloys, metal foam-supported catalysts, layered catalytic articles, or high-entropy oxides, to enhance activity, selectivity, or stability in chemical reactions.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.

Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Systems and methods specifically engineered for removing pollutants and impurities from water sources, ranging from groundwater decontamination to point-of-use filtration, often employing adsorption, membrane, or distillation techniques.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Methods and systems for accurately determining the absolute or relative position of an object or device, often integrating satellite navigation (GNSS), inertial measurement units (IMU), and local ranging or wireless communication technologies.

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Membrane-based separation for water purification, contaminant removal, desalination, and wastewater treatment, including reverse osmosis, ultrafiltration, and forward osmosis modules.

Therapeutic interventions that target immune checkpoint pathways to either enhance or suppress immune responses, often used in cancer immunotherapy or autoimmune diseases.

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.

Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Automated methods and tools for generating, optimizing, and verifying the physical layout and interconnections of electronic components, including integrated circuits, printed circuit boards, and system-level interface protection.