Md Rizwan Parvez is a second-year Ph.D. student in Computer Science at the University of California, Los Angeles (UCLA) and a Graduate Research Assistant of NLP group at UCLA. His research interests are in Natural Language Processing (NLP) and Interpretable Efficient Machine Learning. During his last three years, his projects have involved developing efficient data augmentation for deep learning models. His works have been published in EMNLP-IJCAI 2019, ACL 2018, LREC 2018, MASSCL 2017, and ICTD 2016. Rizwan has achieved the WeCNLP travel grant 2019, ACL student travel grant 2018 and UCLA graduate students fellowship 2017-18, 2018-19. He has also been selected as a student volunteer at ACL, 2018 and has interned at Microsoft AI Research in Summer 2018, Salesforce Research in Summer 2019.
Before joining UCLA, Rizwan was a Lecturer in Computer Science and Engineering at United International University, Bangladesh. He has completed his undergraduate studies in Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET) in 2015 where he was awarded a university merit scholarship and the dean's list award. BUET is the top-ranked university in Bangladesh and Rizwan’s undergrad work was selected as one of the best 6 intra-university undergraduate theses in 2015. He was the Champion of Bangladesh Inter-University System Design and Development Contest 2015 and achieved the Second Runner-Up Award in Bangladesh National ICT Project Show, 2014. Rizwan was awarded Professor M.A Nasser Memorial Scholarship in 2012. He stood second in the Higher Secondary School Certificate (HSC) exam in Rajshahi education board, Bangladesh 2009.