We are so happy to welcome a new graduate member of MCL, Xiou Ge. Here is an interview with Xiou:
- Could you briefly introduce yourself and your research interests?
My name is Xiou Ge. I’m a first year PhD student in Electrical Engineering. I’m from Harbin, China. After completing my middle school education in China, I was awarded a scholarship and spend my high school years in Singapore. I obtained my bachelor’s degree with highest honors and the master’s degree, both in Electrical Engineering from the University of Illinois at Urbana-Champaign. Previously, I interned at Apple in Cupertino and worked on EDA tool development, and IBM T.J. Watson Research Center in Yorktown Heights and did computational creativity research. My current research interests include artificial intelligence, machine learning, and computer vision.
- What is your impression about MCL and USC?
Everyone I met in MCL has been very nice and willing to help each other. The atmosphere is very relaxed and people interact with each other just like family members. Yet everybody works very hard and I can feel the energy which motivates me to work harder. I think MCL has the conducive environment for me to become a successful graduate student. USC offers a very different college experience from my previous one. Located in the middle of downtown LA, the school offers plenty of opportunities for students to experience and learn from the outside world. Collaborations with researchers from other institutions and other parts of the world are frequent and convenient. The school also makes substantial investment in education and allows students to learn from and do research with world-class faculty and experts in different research fields.
- What is your future expectation and plan in MCL?
Although I have had some background in machine learning in terms of course work before starting my PhD, I’m relatively new to research in Computer Vision and especially the current research work at MCL. Hence, I’m eager to learn from all MCL members and collaborate with everyone in the lab. I’m happy to receive advice based on your past experiences in order to become a successful researcher.
