My research interests lie at the intersection of Machine Learning(Deep Learning), Representation Learning, and Natural Language Processing, with a particular emphasis on the fast-growing subjects of Graph Neural Networks and its extensions on new application domains. I have published one book (in GNNs) and more than 100 top-ranked AI/ML/NLP conference and journal papers, including but not limited to NIPS, ICML, ICLR, KDD, ACL, EMNLP, NAACL, IJCAI, and AAAI. I am also a co-inventor of more than 40 filed US patents. Because of the commercial value of my patents, I received several invention achievement awards and was appointed as IBM Master Inventors, class of 2020. I was the recipients of the Best Paper Award and Best Student Paper Award of several conferences such as IEEE ICC’19, AAAI workshop on DLGMA’20 and KDD workshop on DLG'19. My research has been featured in numerous media outlets, including NatureNews, YahooNews, AP News, PR Newswire, The Time Weekly, Venturebeat, TechTalks, SyncedReview, Leiphone, QbitAI, MIT News, IBM Research News, and SIAM News.