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Fasching, L.R. (author), Zhu, P. (author), Mulder, Atticus (author), Beltrao, Gabriel Spiller (author), Neeleman, Yannick (author), Rwei, A.Y. (author)Accurate and real-time monitoring of biomarker proteins, such as Tumor Necrosis Factor (TNF) alpha, plays a vital role in early disease diagnosis, effective treatment design, and personalized health management strategies. However, existing detection methods, including enzyme-linked immunosorbent assay (ELISA), radioimmune assays (RIA), and...conference paper 2023
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Zhu, H. (author), Chun, Jen Jen (author), Lawrance, Nicholas R.J. (author), Siegwart, Roland (author), Alonso-Mora, J. (author)This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface inspection focus on planning a path offline that can provide full coverage of the surface, which inherently assumes the surface information is uniformly distributed...conference paper 2021
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Ray, Aaron (author), Pierson, Alyssa (author), Zhu, H. (author), Alonso-Mora, J. (author), Rus, Daniela (author)We address the problem of assigning a team of drones to autonomously capture a set desired shots of a dynamic target in the presence of obstacles. We present a two-stage planning pipeline that generates offline an assignment of drone to shots and locally optimizes online the viewpoint. Given desired shot parameters, the high-level planner uses a...conference paper 2021
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Zhu, Y. (author), Wang, H. (author), Goverde, R.M.P. (author)Real-time railway traffic management is important for the daily operations of railway systems. It predicts and resolves operational conflicts caused by events like excessive passenger boardings/alightings. Traditional optimization methods for this problem are restricted by the size of the problem instances. Therefore, this paper proposes a...conference paper 2020
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Gammon, A.R. (author), Zhu, Qin (author), Streiner, Scott (author), Clancy III, R.F. (author), Thorpe, Ryan (author)This full research paper develops a framework for using comparative case studies to triangulate with quantitative survey data in engineering ethics education research.Ethics has long been recognized as crucial to responsible engineering, but the increasingly globalized environments of contemporary engineering present challenges to effective...conference paper 2022
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Clancy III, R.F. (author), Zhu, Qin (author), Streiner, Scott (author), Thorpe, Ryan (author)Ethics has long been recognized as crucial to responsible engineering, but the increasingly globalized environments present challenges to effective engineering ethics training. This paper is part of a larger research project that aims to examine the effects of culture and education on ethics training in undergraduate engineering students at...conference paper 2023
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Zhu, Y. (author), Goverde, R.M.P. (author)Passenger-oriented rescheduling problems receive increasing attention. However, the passenger assignment models used for evaluating the rescheduling solutions are usually simplified by many assumptions. To estimate passenger inconvenience more accurately, this paper establishes a dynamic passenger assignment model during disruptions, in which...conference paper 2017
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Zhu, C. (author), Klapwijk, R.M. (author)Spatial thinking is embedded in science, technology, engineering, arts, and mathematics (STEAM) learning. Design and Technology education inherently encompasses a wide range of spatial activities, such as mentally transforming objects and materials to form representations of design ideas, visually communicating ideas, and creating 2D and 3D...conference paper 2022
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Dobbe, R.I.J. (author), Pu, Ye (author), Zhu, Jingge (author), Ramchandran, Kannan (author), Tomlin, Claire (author)Real-time data-driven optimization and control problems over networks, such as in traffic or energy systems, may require sensitive information of participating agents to calculate solutions and decision variables. Adversaries with access to coordination signals may potentially decode information on individual agents and put privacy at risk. We...conference paper 2020
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Zhang, Qingrui (author), Zhang, Xinyu (author), Zhu, Bo (author), Reppa, V. (author)A novel fault tolerant control algorithm is proposed in this paper based on model reference reinforcement learning for autonomous surface vehicles subject to sensor faults and model uncertainties. The proposed control scheme is a combination of a model-based control approach and a data-driven method, so it can leverage the advantages of both...conference paper 2021
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Zhang, Rongkai (author), Zhu, Jiang (author), Zha, Zhiyuan (author), Dauwels, J.H.G. (author), Wen, Bihan (author)State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for restoring images with diverse or unknown corruptions. Though deep reinforcement learning can generate effective policy networks for operator selection or architecture...conference paper 2021
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Gao, Hanyan (author), Zhang, Jing (author), Zhu, Yingcan (author), Guo, Ruiqian (author), Zhang, Wanlu (author), Zhang, Kouchi (author), Liu, Pan (author)With the trend of miniaturization and the increasing power density, the operating temperature of electronic devices keeps climbing, especially for wide band-gap semiconductors such as silicon carbide and gallium nitride. The high operating temperature up to 250℃ brings challenges to encapsulation materials since traditional encapsulation...conference paper 2022
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Zhu, Q. (author), Panichella, A. (author), Zaidman, A.E. (author)Mutation testing is widely considered as a high-end test criterion due to the vast number of mutants it generates. Although many efforts have been made to reduce the computational cost of mutation testing, its scalability issue remains in practice. In this paper, we introduce a novel method to speed up mutation testing based on state...conference paper 2017
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Zhu, Q. (author), Panichella, Annibale (author), Zaidman, A.E. (author)Mutation testing is widely considered as a high-end test coverage criterion due to the vast number of mutants it generates. Although many efforts have been made to reduce the computational cost of mutation testing, in practice, the scalability issue remains. In this paper, we explore whether we can use compression techniques to improve the...conference paper 2018
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Serra Gomez, A. (author), Ferreira de Brito, B.F. (author), Zhu, H. (author), Chung, Jen Jen (author), Alonso-Mora, J. (author)Decentralized multi-robot systems typically perform coordinated motion planning by constantly broadcasting their intentions as a means to cope with the lack of a central system coordinating the efforts of all robots. Especially in complex dynamic environments, the coordination boost allowed by communication is critical to avoid collisions...conference paper 2020
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Zhu, Q. (author), Zaidman, A.E. (author)Physical computing, which builds interactive systems between the physical world and computers, has been widely used in a wide variety of domains and applications, e.g., the Internet of Things (IoT). Although physical computing has witnessed enormous realisations, testing these physical computing systems still face many challenges, such as...conference paper 2018
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Brownjohn, James (author), Raby, Alison (author), Au, Siu Kui (author), Zhu, Zuo (author), Wang, Xinrui (author), Antonini, A. (author)A set of seven rock lighthouses around the British Isles was studied by a combination of forced and ambient vibration tests executed with some extreme logistical constraints. Forced vibration testing of the circular section masonry towers combined with experimental modal analysis identified modes with alignment assumed the same as the shaker...conference paper 2019
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Zhu, H. (author), Alonso-Mora, J. (author)This paper presents B-UAVC, a distributed collision avoidance method for multi-robot systems that accounts for uncertainties in robot localization. In particular, Buffered Uncertainty-Aware Voronoi Cells (B-UAVC) are employed to compute regions where the robots can safely navigate. By computing a set of chance constraints, which guarantee...conference paper 2019
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Liu, L. (author), Zlatanova, S. (author), Zhu, Q. (author), Li, K. (author)This paper introduces and compares two types of GML-based data standards for indoor location-based services, i.e., iIndoorGML and iIndoorLocationGML. By elaborating the advantages of the both standards and their data models, we conclude that the two data standards are complementary to each other. A jointed data model is presented to show the...conference paper 2017
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Zhu, Q. (author), Zaidman, A.E. (author)Thanks to rapid advances in programmability and performance, GPUs have been widely applied in High Performance Computing (HPC) and safety-critical domains. As such, quality assurance of GPU applications has gained increasing attention. This brings us to mutation testing, a fault-based testing technique that assesses the test suite quality by...conference paper 2020