About Hui Chen Hui Chen Ph.D. Student (former), Electrical and Computer Engineering Indoor localization Hand Gestures Recognition Ph.D. degree Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST) ,Currently a Ph.D. student working on localization & tracking and gesture recognition. Articles Related News January 2022 Congratulations to our graduates in 2021 1 min read · Wed, Jan 5 2022 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2021/2022. Ayed Alrashdi (Ph.D. Feb’21) – Currently working as an Assistant Professor at the University of Hail, Saudi Arabia. Hui Chen (Ph.D. July’21) – Joined as a Postdoc researcher at Chalmers University of Technology, Gothenburg, Sweden. Mohammed Alsharif (Ph.D. Dec’21) – Currently working at ARAMCO R&D Ahmed Magbool (MS 2021) – He is continuing Ph.D. at University College, Dublin Muhanned Alsaif (MS July’21) – Currently working as a June 2021 KAUST research group win inaugural MCIT Digital Innovation Award 3 min read · Mon, Jun 28 2021 News digital innovation award smart tap artificial intelligence A team of KAUST researchers have won first place in the Digital Research track at the inaugural Digital Innovation Awards held on Sunday, April 25, 2021. Launched by the Ministry of Communications and Information Technology (MCIT), the awards aim to “enhance the culture of innovation and entrepreneurship in digital research and development” in Saudi Arabia. July 2019 ISL Students place 4th at Microsoft Indoor Localization Competition 2017 1 min read · Mon, Jul 29 2019 News Accurate indoor positioning has the potential to transform the way people navigate indoors similar to the way the GPS transformed outdoor navigation. Over the last 20 years, many indoor positioning technologies have been proposed and experimented by both academia and industry. We developed an accurate acoustic 3D positioning system, which consists of one mobile device (MD) and four base stations (BSs) with known locations. The MD transmits a series of ultrasound and RF sequences, named Zadoff-Chu (ZC) sequences, at the same time. The propagation time of the RF signal is negligible compared to
Congratulations to our graduates in 2021 1 min read · Wed, Jan 5 2022 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2021/2022. Ayed Alrashdi (Ph.D. Feb’21) – Currently working as an Assistant Professor at the University of Hail, Saudi Arabia. Hui Chen (Ph.D. July’21) – Joined as a Postdoc researcher at Chalmers University of Technology, Gothenburg, Sweden. Mohammed Alsharif (Ph.D. Dec’21) – Currently working at ARAMCO R&D Ahmed Magbool (MS 2021) – He is continuing Ph.D. at University College, Dublin Muhanned Alsaif (MS July’21) – Currently working as a
KAUST research group win inaugural MCIT Digital Innovation Award 3 min read · Mon, Jun 28 2021 News digital innovation award smart tap artificial intelligence A team of KAUST researchers have won first place in the Digital Research track at the inaugural Digital Innovation Awards held on Sunday, April 25, 2021. Launched by the Ministry of Communications and Information Technology (MCIT), the awards aim to “enhance the culture of innovation and entrepreneurship in digital research and development” in Saudi Arabia.
ISL Students place 4th at Microsoft Indoor Localization Competition 2017 1 min read · Mon, Jul 29 2019 News Accurate indoor positioning has the potential to transform the way people navigate indoors similar to the way the GPS transformed outdoor navigation. Over the last 20 years, many indoor positioning technologies have been proposed and experimented by both academia and industry. We developed an accurate acoustic 3D positioning system, which consists of one mobile device (MD) and four base stations (BSs) with known locations. The MD transmits a series of ultrasound and RF sequences, named Zadoff-Chu (ZC) sequences, at the same time. The propagation time of the RF signal is negligible compared to
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