Cinque Terre Cinque Terre

About Me

I am a fifth-year PhD candidate in Computer Science at the Visual Attention Laboratory (VALab) of the University of Massachusetts Boston advised by Professor Marc Pomplun. I earned both the Master of Electrical Engineering from KNTU and the Master of Computer Science from UMass Boston .

My current research is in the areas of computer vision, machine learning and human visual perception. I am interested in scene undrestanding and object recognition, particularly using deep learning.

My previous research areas were on humen activity recognition and eye movement data analysis during reading.


Dec 1, 2017 - I was invited to give a talk at MIT, The Center for Brain, Mind + Machines (CBMM at MIT) . Please watch the video here

Oct 6, 2017 - I attended Reality, Virtually, Hackthon. MIT Media Lab (Reality_Virtually_Hackthon 2017) . Please find more informarion here

Sep 30, 2017 - the paper "Deriving High-Level Scene Descriptions from Deep Scene CNN Features" was accepted at the seventh International Conference on Image Processing Theory, Tools and Applications, Montreal, Canada (IPTA 2017)

July 28, 2017 - I gave a talk on "what may drive you as a woman to be in computer vision" at Tech-Savvy camp to prompt Boston area girls' STEM education

July 18, 2017 - I receieved the Best Student Paper Award for Our paper in AHFE 2017.

July 18-21, 2017 - I attended the AHFE 2017 in Los Angeles to present my papers.

Jun 20, 2017 - Our two papers at AHFE 2017 were published by Springer.

May 19-23, 2017 - I attended VSS 2017 in Florida to present my poster: "Information fusion based on fixation patterns and semantic analysis for observer classification during reading".

April 6-8, 2017 - I attended Grad Cohort Workshop 2017 in Washington, DC.

Dec 15, 2016 - I have been selected and granted scholarship to participate in the CRA-Women Grad Cohort Workshop Grad Cohort Workshop 2017 in Washington, DC.

Dec 14, 2016 - Our paper "The influence of text difficulty level and topic on eye-movement behavior and pupil size during reading" has been published in Signal Processing and Intelligent Systems (ICSPIS 2016), IEEE.