Bo Zhou
University Lecturer at Rptu Kaiserslautern-Landau
Based in Kaiserslautern, Germany
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Seniority
Staff
Department
Education
Location
Kaiserslautern
Industry
Research Services
Company size
2.1K
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b•••••••@rptu.de
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Background
About Bo Zhou
Veteran artificial intelligence senior researcher with a demonstrated record of working in EU FP7 and German BMBF projects. I also have years of experience in lecturing the module "Embedded Intelligence" from TUKL. My ResearchGate profile: My expertise includes a strong combination of hardware and software in the fields of electronics and data science- Data Science and machine learning: I have been working as a senior researcher in the world's top AI research institute, I also teach about artificial intelligence in the university to Master students- Electronics hardware: years of research prototyping work and industrial collaborations have granted me experience with designing the electronics circuit (PCB) and firmware with sensors, microcontrollers, FPGAs, and real-time embedded operating systems- System-on-Chip design: masters education from the University of Southampton and work experience in the silicon industry- Software development and user interaction/experience: as a scientist involved in the pervasive and wearable computing discipline, developing apps (on computers/smartphones/smart watches/smart glasses) and web interfaces for experiments and demonstrators is a daily routine. My major research interests include smart fabrics, wearable sensing and computing, digital sports assistance, biomedical and healthcare engineering, application of IoT, etc. My team's project Trainwear designed with smart fabric mechanomyography technology has also won the smart fashion challenge Fashion Fusion (2017) in the Berlin Fashion Week. I have acquired the Doctor of Engineering degree from the Techniche Universität Kaiserslautern (TUKL) and the German Research Center for Artificial Intelligence (DFKI). I have also graduated from the Europeam Master in Embedded Computing Systems (EMECS), with a strong hardware focus in system-on-chip design as well as software computer vision.
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