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Wang, S. (author), Zong, Qihang (author), Yang, Huiru (author), Huang, Qianming (author), Ye, Huaiyu (author), French, P.J. (author)
In recent years, flexible strain sensors based on metal cracks have garnered significant interest for their exceptional sensitivity. However, striking a balance between sensitivity and detection range remains a significant challenge, which often limits its wider application. Herein, we introduce an innovative laser transmission pyrolysis...
conference paper 2024
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Zhao, Z. (author), Huang, J. (author), Chen, Lydia Y. (author), Roos, S. (author)
Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images using competing generator and discriminator neural networks. Due to data not being centrally available, Multi-Discriminator (MD)-GANs training frameworks employ multiple discriminators that have direct access to the real data....
conference paper 2024
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)
Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...
conference paper 2023
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Pasquariello, Vito (author), Bunk, Y.L. (author), Eberhardt, S. (author), Huang, Pei-Hsuan (author), Matheis, Jan (author), Ugolotti, Matteo (author), Hickel, S. (author)
The demand for fast, high-fidelity, scale-resolving computational fluid dynamics (CFD) simulations is continuously growing. Especially new emerging aviation technologies, such as electrical vertical take-off and landing aircraft (eVTOL), strongly rely on advanced numerical methods to retain development life-cycle costs and achieving design...
conference paper 2023
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Tang, Zhuorui (author), Tian, Jing (author), Mao, Chaobin (author), Zhang, Nan (author), Huang, Jiyu (author), Fan, J. (author), Zhang, Kouchi (author)
Silicon carbide (SiC) epitaxial process is a key step in the fabrication of power devices, and the temperature field inside the reactor chamber plays an essential role in this process. In this paper, the temperature field in the horizontal chemical-vapor-deposition reactor chamber used for growing homo-epitaxial 4H-SiC material is studied using...
conference paper 2023
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Hu, X. (author), Martin, H.A. (author), Poelma, René H. (author), Huang, J.L. (author), Rijckevorsel, H. (author), Scholten, H. (author), Smits, E.C.P. (author), van Driel, W.D. (author), Zhang, Kouchi (author)
Resin-reinforced silver (Ag) sintering material is an effective and highly reliable solution for power electronics packaging. The hybrid material’s process parameters strongly influence its microstructure and pose a significant challenge in estimating its effective properties as a thin interconnect layer. This research demonstrates a novel 3D...
conference paper 2023
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Huang, S. (author), Desmet, P.M.A. (author)
The relevance of human needs is generally recognized in human-centered design research and practice. However, a challenge of working with needs is that the word “need” can be interpreted in various ways, which can hinder effective communication and collaboration. Need typologies, in such cases, can serve as a shared language by providing an...
conference paper 2023
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Huang, L.J. (author), Mulders, S.P. (author), Taschner, E. (author), van Wingerden, J.W. (author)
In most current offshore wind farms, the turbines are controlled greedily, neglecting any coupling by wake effects with other turbines. By neglecting these effects of aerodynamic interactions, the power production performance is substantially reduced. Besides the well-known wake steering and dynamic induction control wake control strategies, a...
conference paper 2023
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Gomez Beldarrain, G. (author), van der Maden, W.L.A. (author), Huang, S. (author), Kim, E.Y. (author)
Autonomous products (e.g., home cleaning robots, smart fridges, or autonomous vehicles) take over tasks that require time and effort from their users, redefining both the user roles and context around a product. Consequently, meaningful user experiences should be designed to overcome the risk of relegating humans to undesirable tasks and to take...
conference paper 2023
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Huang, J. (author), Zhao, Z. (author), Chen, Lydia Y. (author), Roos, S. (author)
Attacks on Federated Learning (FL) can severely reduce the quality of the generated models and limit the usefulness of this emerging learning paradigm that enables on-premise decentralized learning. However, existing untargeted attacks are not practical for many scenarios as they assume that i) the attacker knows every update of benign...
conference paper 2023
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Huang, Y. (author), Schlangen, E. (author), Lukovic, M. (author)
Ultra-high performance fiber-reinforced concrete (UHPFRC) exhibits high compressive and tensile strength together with outstanding durability. Due to these superior properties, UHPFRC is promising for retrofitting existing reinforced concrete (RC) bridges. While research and on-site applications show the significant improvement of RC structures...
conference paper 2023
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Huang, J. (author), Hong, C. (author), Liu, Yang (author), Chen, Lydia Y. (author), Roos, S. (author)
Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogeneous clients, it is imperative to timely select clients who can effectively contribute to learning. A realistic but overlooked case of...
conference paper 2023
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Ampudia Hernandez, Ricardo (author), Xu, M. (author), Huang, Yanqiu (author), Zuniga, Marco (author)
In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed...
conference paper 2023
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Song, Minyoung (author), Huang, Yu (author), Shen, Yiyu (author), Shi, Chengyao (author), Breeschoten, Arjan (author), Konijnenburg, Mario (author), Visser, Huib (author), Romme, J.P.A. (author), Dutta, Barundeb (author), Alavi, S.M. (author)
Intra-cortical extracellular neural sensing is being rapidly and widely applied in several clinical research and brain-computer interfaces (BCIs), as the number of sensing channels continues to double every 6 years. By distributing multiple high-density extracellular micro-electrode arrays (MEAs) in vivo across the brain, each with 1000's of...
conference paper 2022
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Huang, Wen-Chin (author), Halpern, B.M. (author), Violeta, Lester Phillip (author), Scharenborg, O.E. (author), Toda, Tomoki (author)
We present a voice conversion framework that converts normal speech into dysarthric speech while preserving the speaker identity. Such a framework is essential for (1) clinical decision making processes and alleviation of patient stress, (2) data augmentation for dysarthric speech recognition. This is an especially challenging task since the...
conference paper 2022
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Angeli, Lorenzo (author), Okur, Ö. (author), Corradini, Carlo (author), Stolin, Marcel (author), Huang, Yilin (author), Brazier, F.M. (author), Marchese, Maurizio (author)
As higher education digitalises, institutions increasingly outsource the development and management of their digital infrastructure including server hardware and services such as email, shared storage, and video conferencing, to private companies. This outsourcing trend is a change in paradigm, since universities have historically been pioneers...
conference paper 2022
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Huang, Y. (author), Lukovic, M. (author)
Ultra-high performance fiber-reinforced concrete (UHPFRC) has emerged as one of the promising materials for strengthening of concrete structures. For the strengthening application of UHPFRC, one of the primary concerns is to evaluate the degradation of bond behavior and structural re-sponse of strengthened elements under harsh environmental...
conference paper 2022
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Destyanto, A.R. (author), Huang, Yilin (author), Verbraeck, A. (author)
The COVID-19 pandemic in Indonesia has led to a significant change in human mobility. It is also considered the most serious threat to the inter-island trade network since the economic crisis in 1998. Leveraging two-year historical port call data (covering 6,000 records in total) of Indonesian domestic cargo vessels from the Automatic...
conference paper 2022
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Huang, H. (author), Liem, C.C.S. (author)
Artificial intelligence literature suggests that minority and fragile communities in society can be negatively impacted by machine learning algorithms due to inherent biases in the design process, which lead to socially exclusive decisions and policies. Faced with similar challenges in dealing with an increasingly diversified audience, the...
conference paper 2022
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Chen, Peiran (author), Calis, Metin (author), Wijkstra, Hessel (author), Huang, Pintong (author), Hunyadi, Borbala (author), Mischi, Massimo (author)
A cost-effective, widely available, and practical diagnostic imaging tool for prostate cancer (PCa) localization is still lacking. Recently, the contrast-ultrasound dispersion imaging (CUDI) technique has been developed for PCa localization by quantifying dynamic contrast-enhanced ultrasound (DCE-US) acquisitions. Tissue stiffness is an...
conference paper 2022
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