PY Started working in NCREE after acquirement of Ph.D. degrees from 2000.Published 30 journal papers and 5 patents owner . He is host of several anti natural disaster and anti earthquake plan and led team to build nation-wide campus, and high speed rail EEWS system which covers over one millions users. For industrial application, his AI EEWS solution helps to reduce millions of seismic loss every year. With 30 years experience, he is also a bridge among academic, industrial and research field for earthquake, structural and natural disaster prevention science.
Danny was in charge of several major customers about sales and project management activities in Foxconn and Liteon Technology. As a risk taker, he is also an early investor of deep tech star-ups like Prologium technology and helped them for fund raising related preparation. He is experienced of helping many EU Based Star-ups for hardware and budget planning and was invited to UK FORGE IOT hardware accelerator to be guest lecturer.
Eason developed EEWS and Structural Monitor system. He is capable of sensor, embedded computing, communication and coordinated system. His work in AI-EEWS system is now in service in TSMC, UMC, AGC and Taiwan High Speed Rail.
Kira has America CPA license and a decade of working experiences in accountant, finance, human resource and administration area in several international companies like Moody, AIG, Ernst & Young and Medical equipment company. She is also professional at IPO process for companies like American Brivision Corp.
Yuki is familiar with sales and business development as well marketing planning. She was a manager in charge of major customers in Liteon Technology and Hermes-Epitek Corp. She has good reputation from customers no matter in communication and semi-conductor filed.
8 years system identification in structural engineering and on-site Civil Engineering experience. He is in charge of optimization AI EEWS performance, Big data analysis and ANN machine learning in P-WAVER
Chloe has 6 years experience in structural analysis and System identification in structural engineering. She integrated 4 famous professors' structural safety monitor and analysis mythology into P-WAVER's service platform which could provide structural safety monitoring and assessment report in 15 mins after earthquake for user's to react in timely manner.
Jacky's strong suit are finite element structural analysis , site monitoring and EEWS installation. He has installed over 50 on-site EEWS. He is pro at finite element structural analysis of building, factory, house and to provide groundwork for structural monitor.
6 years experience in structural analysis. She is in charge of R&D in structural safety monitoring technology and on-site AI EEWS data analysis.
PY Started working in NCREE after acquirement of Ph.D. degrees from 2000.Published 30 journal papers and 5 patents owner . He is host of several anti natural disaster and anti earthquake plan and led team to build nation-wide campus, and high speed rail EEWS system which covers over one millions users. For industrial application, his AI EEWS solution helps to reduce millions of seismic loss every year. With 30 years experience, he is also a bridge among academic, industrial and research field for earthquake, structural and natural disaster prevention science.
Danny was in charge of several major customers about sales and project management activities in Foxconn and Liteon Technology. As a risk taker, he is also an early investor of deep tech star-ups like Prologium technology and helped them for fund raising related preparation. He is experienced of helping many EU Based Star-ups for hardware and budget planning and was invited to UK FORGE IOT hardware accelerator to be guest lecturer.
Eason developed EEWS and Structural Monitor system. He is capable of sensor, embedded computing, communication and coordinated system. His work in AI-EEWS system is now in service in TSMC, UMC, AGC and Taiwan High Speed Rail.
Kira has America CPA license and a decade of working experiences in accountant, finance, human resource and administration area in several international companies like Moody, AIG, Ernst & Young and Medical equipment company. She is also professional at IPO process for companies like American Brivision Corp.
Yuki is familiar with sales and business development as well marketing planning. She was a manager in charge of major customers in Liteon Technology and Hermes-Epitek Corp. She has good reputation from customers no matter in communication and semi-conductor filed.
8 years system identification in structural engineering and on-site Civil Engineering experience. He is in charge of optimization AI EEWS performance, Big data analysis and ANN machine learning in P-WAVER
Chloe has 6 years experience in structural analysis and System identification in structural engineering. She integrated 4 famous professors' structural safety monitor and analysis mythology into P-WAVER's service platform which could provide structural safety monitoring and assessment report in 15 mins after earthquake for user's to react in timely manner.
Jacky's strong suit are finite element structural analysis , site monitoring and EEWS installation. He has installed over 50 on-site EEWS. He is pro at finite element structural analysis of building, factory, house and to provide groundwork for structural monitor.
6 years experience in structural analysis. She is in charge of R&D in structural safety monitoring technology and on-site AI EEWS data analysis.
EarthquakeEarly Warning System (EEWS)
Smart Safety Solution & IoT
Structure Safety Monitor System
P-WAVER has collected over 300,000 earthquake data and make it an AI model which is proven fast and accurate from customer feedback
P-WAVER has the most experienced on-site EEWS set up. It requires technical skill sets in system plan, set up, optimization, SW upgrade and customer service
Not only standalone EEWS system. P-WAVER also provided multi system for customer to highly minimize environmental factor to prevent false alarm and provide redundant mechanism. With Close-loop design, customer information security could be secured.
P-WAVER has collected over 300,000 earthquake data and make it an AI model which is proven fast and accurate from customer feedback
P-WAVER has the most experienced on-site EEWS set up. It requires technical skill sets in system plan, set up, optimization, SW upgrade and customer service
Not only standalone EEWS system. P-WAVER also provided multi system for customer to highly minimize environmental factor to prevent false alarm and provide redundant mechanism. With Close-loop design, customer information security could be secured.