Department of Electrical and Computer Engineering Northeastern University, Boston, MA
In a nutshell
My research focus is in applied machine learning, typically vision. My interests in STEM (and sometimes non-STEM) related topics span well beyond that. Outside of work and academia I enjoy catching up with family and friends, playing hockey or rollerblading with Jax (my dog), doing the occasional cook off, travel, ski, and, more often than not, some light reading.
About Me [Google Scholar] [CV] Received a BS in electrical & computer engineering (2014) and is pursuing a PhD in computer engineering at Northeastern University (NEU), where also worked as part-time faculty: designed & taught undergrad course in Data Analytics. Research is in applied machine vision, with emphasis on faces, deep learning, multimedia, and large databases. Previously, led team to TRECVid debut (MED, obtained 3rd best accuracy). Also, built many image & video datasets most notably FIW. Has served as organizing chair and host of various workshops & challenges (e.g., NECV17, RFIW@ACM-MM17, RFIW@FG18, AMFG@CVPR18, FacesMM@ICME18), tutorials (ACM-MM18), PC member (e.g., CVPR, FG, MIRP, MMEDIA, AAAI), reviewer (e.g., IEEE Trans. on Biomedical Circuits and Systems, Image Processing, Pattern Analysis and Machine Intelligence), and lead positions like president of IEEE@NEU & Relations Officer of IEEE SAC R1 Region. Completed two NSF REUs (2010 & 2011); co-ops at Analogic Corporation & BBN Technology; interned at MIT Lincoln Labs (2014), System & Technology Research (2016 & 2017), Snap Inc. (i.e., Snapchat) (2018), and ISMConnect (2019).
NEW! Our Laplace Landmark Localization accepted and to be presented at 2019 ICCV in Seoul, South Korea [ paper ]