2nd Call for 2020 CCU Summer Internship (Graduate/Under-G)

College of Engineering, National Chung Cheng University (CCU), Taiwan
1. Goal: The goal of this summer internship is to fulfill the collaborations between CoE/CCU and other international universities.
2. Plan: CoE of CCU would provide opportunities of summer internship for students for at least 7 weeks during Mar. 1 to Aug. 31 (for more than 3 months, it is not limited by the above period). Applicants should read the requirements of each research topic carefully, finish the online application form, and upload documents (such as transcript, research plan, certificate of language proficiency, recommendation letter, etc.) with a ZIP-compressed file (containing PDF files) to the application form. The Zip file please be marked with the applicant’s full name. All the intern research topics and their requirements are listed below. The online application form is at https://forms.gle/r9itq4SP2t2wXSkG8
3. Requirement: The applicants should be graduate or at-least grade-3 undergraduate students. Students who will be graduated before July 2020 will not be accepted.
4. Intern period: The summer break for CCU is from middle June to middle September. However, this 2nd call will focus on intern period starting from May 1 at earliest and end on Oct. 31 at latest. Since some universities in a certain countries have different break time, we also allow intern period in other months. Please indicate the period clearly in the application.
5. Scholarship: research topics are offered in two types: (A) scholarship and (B) self-supported. Each applicant can have at most 6 priorities about the preferred research topics, e.g., (P9B, P11A, P10A, P8A, P8B, P4B). For type-A, the accepted applicant will be offered with a scholarship covering the flight fare (maximum amount will depend on the weeks of internship), living expense (NTD1,500 for one week), and free on-campus accommodation (however, he/she should pay for the fees of electricity and internet him/herself). For type-B students, we will arrange on-campus accommodations for them and the fee is about NTD4000~5000 for 2 months.
6. Review: The review of application is based on the following criteria: (1) GPA, (2) prior technical experience, (3) future research plan, and (4) language proficiency. Essentially, for type-B students, the acceptance threshold will be lower. For type-A students, we prefer to accept students with higher GPA, experienced, and longer intern period (e.g., at least 3 months, depending on respective advisor).
7. Important dates: The deadline for application is February 28, 2020. Note that this is a hard deadline since our schedule is tight. Applications with missing documents will be ignored without further review. The review result will be announced around March 20, 2020 and notification of acceptance/declination will be sent to each applicant individually.
8. If there’s any questions about the internship program, please contact our staff of the DIA (Division of International Affairs) at the following e-mail address: coleng_dia@ccu.edu.tw.
Intern Research Topics
Number: P5
Project title：Visual and skeleton-based action recognition based on deep learning approach
Description of the research:
This research is to recognize human’s action (stand, walk, run, fall-down, talking, etc.) from the single-view video or skeleton data. Our approach will be based on machine learning techniques such as CNN, RNN, or LSTM (deep learning). This technique is useful in video surveillance or health care center to monitor persons’ daily life. The intern student is expected to have some preliminary knowledge on NN (neural network) or deep learning and skilled in C/C++ or Python programming. He/She will learn how to apply state-of-the-art deep learning techniques to solve the indicated problems.
Mentor in CCU
Prof. Wen-Nung Lie
Dept. of Electrical Engineering,
National Chung Cheng University, Taiwan, ROC.
(ieewnl@ccu.edu.tw)
Expected student level: Post-graduate student,  Third/forth-year undergraduate senior student
Intern period: At least 8 weeks between March 1 and Aug. 31
Category: Scholarship (partial, 50%~100%), Self-supported
Number: P6
Project title：Content-aware 360 degree video coding
Description of the research
This research is about the 360 degree video coding system. Capturing the scene and representing it with efficient panoramic images will be first addressed. Then a saliency video is generated and served as a guidance for efficient 360 degree video coding to offer high quality video. In this summer internship, the intern not only learn C/C++ programs to implement the proposed techniques, related deep learning platform is also accessed.
Mentor in CCU
Prof. Jui-Chiu Chiang
Dept. of Electrical Engineering,
National Chung Cheng University, Taiwan, ROC.
(rachel@ccu.edu.tw)
Expected student level: Post-graduate student, Third/forth-year undergraduate senior student
At least 12 weeks between March 1 and Aug. 1
Category: Scholarship, Self-supported
Number: P7
Project title: Saliency-driven Tone Mapping for HDR Image Display Using Deep Learning
Description of the research
This research is about the tone mapping (TM) technique. To enable the display of HDR image on the conventional device, TM technique is needed. TM techniques will preserve the details of the HDR image as much as possible while allowing pleasing visual experience. To better retain the details of the HDR image, a saliency driven TM is investigated in this research. In addition, the derived TM model is generated based on a deep learning architecture.
Mentor in CCU
Prof. Jui-Chiu Chiang
Dept. of Electrical Engineering,
National Chung Cheng University, Taiwan, ROC.
(rachel@ccu.edu.tw)
Expected student level: Post-graduate student, Third/forth-year undergraduate senior student
Intern period: At least 12 weeks between March 1 and Aug. 1
Category: Scholarship, Self-supported
Number P14
Project title：Design of intelligent vision system for mobile robots
Description of the research
This research is to design an intelligent vision system for mobile robots. The RGB-D camera is installed on the forehead of the robot, which can move to perform tasks such as video surveillance. You can design image processing/pattern recognition techniques to detect intruders, abnormal events, or to navigate in environments with obstacles. This vision system will be a key technology for Industry 4.0, where intelligent robots will be popular in our daily life. In this summer intern, you will learn how to write C/C++ or Python programs for image processing/pattern recognition, and learn how to control the mobile robots. Hopefully, you can learn how to use deep learning techniques.
Mentor in CCU
Prof. Wen-Nung Lie
Dept. of Electrical Engineering,
National Chung Cheng University, Taiwan, ROC.
(ieewnl@ccu.edu.tw)
Expected student level: Post-graduate student, Third/forth-year undergraduate senior student
Intern period: At least 8 weeks between March 1 and Aug. 31
Category: Scholarship (partial, 50%~100%), Self-supported