CASS Student Design Competition | 2018-2019
Date
–
Geographic Location
Sapporo, Japan
The IEEE Circuits and Systems Society (CASS) invites you to participate in the 3rd CASS Student Design Competition. The CASS Student Design Competition is a worldwide competition where undergraduate students will suggest and execute projects on Electrical Engineering and related areas. The focus should be on finding a solution to a real-life problem based on circuits and systems.
The competition will take place in three phases, the first at the chapter level, the second at the regional level, and a final at world level. The final will take place during ISCAS 2019 in Sapporo, Japan.
CASS will pay for the trip to ISCAS 2019 for the four finalists, one for each region - Regions 1-7 (USA and Canada), Region 8 (Europe, Middle East, Africa), Region 9 (Latin America), and Region 10 (Asia, Australia, Pacific), as well as ISCAS registration. The winning team will be awarded US$3,000.
Important dates:
Aidan Curtis, Sophia D’Amico, Andres Gomez, Benjamin Klimko, Zhiyang Zhang
Rice University
From: Houston Chapter, Regions 1-7
Aidan Curtis, Sophia D’Amico, Andres Gomez, Benjamin Klimko, Zhiyang Zhang
Rice University, Houston Chapter
Alanoud Almemari, Mohammed Alyayhaee, Rodah Almazrooei, Safa Alkatheeri, Noura Alnuaimi, Mohammed Alnuaimi
Khalifa University, United Arab Emirates Chapter
Gabriel Souza Marques, Rafael Carneiro Reis Souza, Thalisson Moura Tavares, Lucas Job Brito de Araujo, Manoel Alves Xavier Neto, Edna Natividade da Silva Barros
Federal University of Pernambuco, Bahia Chapter
Hongxi Jin, Jinming Liu, Muhao Li, Qiang Liu, Xiaofeng Zhou, Yanyu Ren, Yating Liu, Zhenghao Ji, Fan Hong, Yichen Sun, Weihong Xu, Jingfei Wang, Chuan Zhang
Southeast University, Nanjing Chapter
Finalists of the CASS Student Design Competition will compete at the final competition that will take place during ISCAS 2019, in Sapporo, Japan from 26-29 May 2019.
A Face Recognition System to Control House Appliances
A Real-Time Mapping and Monitoring Network for Water Quality Analysis in Cisterns and Tanks
Neural Network Based Wireless Vision Detection System
E-Pad (Early Pneumonia Detector)
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