My primary research focus centers on the convergence of Natural Language Processing (NLP), e-health, and machine learning, with a specific emphasis on innovative approaches to enhance language understanding, develop explainable e-health applications and address challenges with a societal impact.

Natural Language Processing (NLP), Data Mining, e-Health and Machine Learning 

I earned my doctorate degree from the GREYC Laboratory, a joint collaboration between the French National Centre for Scientific Research (CNRS), Ecole Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN) and University of Caen Normandie. In my doctoral studies, I introduced a temporal ontology namely TempoWordNet where word senses are associated with their intrinsic temporal dimensions: atemporal, past, present, and future. TempoWordNet can be accessed from the open multilingual WordNets website (http://compling.hss.ntu.edu.sg/omw/), managed by Nanyang Technological University, Singapore.

Till date, I have published 50+ papers in a range of highly respected conferences including ACL, SIGIR, NAACL, COLING, EACL, CoNLL, ECIR, Hypertext, ECAI, ESWC and IJCNLP. I have also published papers in highly reputed journals such as Nature, PLOSOne, IEEE Intelligent Systems, IEEE Transactions on Affective Computing, and ACM Transactions on Knowledge Discovery from Data.

I am currently involved in several European projects as PI/CO-PI. I was awarded with PhD Scholarship from the French Ministry of Superior Education and Research, Govt. of France for my doctoral studies. In the year 2018, I received Erasmus+ staff mobility award for teaching and training. I have also received the Dublin City University INVENT Award for Engagement with Business/ Industry for the year 2018.