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.
Our work on Kinship Classification through Latent Adaptive Subspace was accepted by FG 2018 Part-time faculty at NEU teaching Computational Methods for Data Analytics [course description]
May 31 26
10 January 15
November 21 October 15
Workshop Chair for the 2018 ICME Workshop on Faces in Multimedia (FacesMM)
Web & Publicity Chair for 8th CVPR Workshop on Analysis & Modeling of Faces & Gestures (AMFG)
Chair and Organizer of FG Challenge RFIW2018 [webpage, challenge] Organizing Chair for upcoming 2017 New England Computer Vision workshop at NEU (NECV'17)
Program Committee for 2nd Big Data Transfer Learning workshop in conjunction with 2017 IEEE Big Data Conference (BDTL'17)
Program Committee for International Conference on Advances in Multimedia (MMEDIA 2018) Co-Chair and Tech Support for 2017 New England Computer Vision Workshop at Northeastern University (NECV 2017).
Serving as a TPC Member for the (1st) IEEE International Conference on Multimedia Information Retrieval and Processing (MIRP 2018). Serving on the Program Committee for the 2018 IEEE Conference on Automatic Face and Gesture Recognition (FG 2018). Presented Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning at FG 2017 (main conference) [paper, poster]
Presented The 1st Large-Scale Kinship Recognition Database: To visually recognize and understand families in the wildat FG 2017 (ASL4GUP Workshop) [poster]
Awarded ASL4GUP Travel Grant to travel to Washington DC for FG 2017!