Joseph P. Robinson received a BS in Electrical & Computer Engineering (2014) and a Ph.D. in Computer Engineering (2020) at Northeastern University (NEU), while also working as part-time faculty: designed & taught an undergrad course in Data Analytics. Research is in applied machine vision, emphasizing faces, deep learning, multimedia, and large databases. Previously, I led the team to TRECVid debut (MED, obtained 3rd best accuracy). I also built many image-based & video datasets, most notably Families In the Wild (FIW), which has recently extended with multimedia (i.e., FIW-Multimedia, aka FIW-MM, audio, video, and audio-visual). Balanced Faces in the Wild (i.e., BFW) is another face-based labeled dataset to support bias research in facial recognition [learn more here]. Has served as organizing chair and host of various workshops & challenges (e.g., NECV 2017, RFIW17@ACM-MM, RFIW18-RFIW19-RFIW20@FG, AMFG@CVPR18-19, FacesMM@ICME18-19), tutorials (ACM-MM18, FG19, CVPR19), PC member (e.g., CVPR, FG, MIRP, MMEDIA, AAAI, ICCV, ECCV, IJCAI), reviewer (e.g., IEEE Trans. on Biomedical Circuits and Systems, Image Processing, TPAMI, TIP), and leadership positions like the president of IEEE@NEU & Relations Officer of IEEE SAC R1 Region. Completed two NSF REUs (2010 & 2011); co-ops at Analogic Corporation & Raytheon BBN Technology; interned at MIT Lincoln Labs (2014), System & Technology Research (2016 & 2017), Snap Inc. (i.e., Snapchat) (2018), and ISMConnect (2019). Joseph is now at Vicarious Surgical ASDAI group (Team Perception) as a full-time AI Engineer working on the next generation of surgical robotics (2021).
Dr. Robinson's research interests include robust real-time facial recognition, deep learning, and human-computer interaction, focusing on the social implications of bringing computers into the medical room. He is particularly interested in exploring the social challenges of integrating computing into the day-to-day lives of surgeons – and how this will change the medical field, procedures, and practices.