Information about myself (educational qualification and professional experience) I graduated from International Islamic University Chittagong (IIUC) and received the Vice-Chancellor's Gold Medal at the 4th convocation of IIUC. I completed my M.Sc. Engineering degree from CUET where my thesis was titled "Topic Detection and Sentiment Analysis of COVID-19 Tweets Using Deep Learning". Currently, as a lecturer in the CSE department at IIUC, I teach undergraduate courses on Artificial Intelligence and Neural Networks and graduate courses on Data Mining. Research experience During my postgraduate journey at CUET, my primary research domain was the COVID-19 pandemic. I developed a systematic framework by performing four different types of data analytics techniques to present the effects of different vaccine brands on men and women and to recommend appropriate vaccination to healthcare professionals. I followed a semi-supervised learning technique on tweets by identifying the corresponding sentiment polarities of unlabeled tweets. Sentiment terms and aspect terms based automatic topic labeling of COVID-19 tweets using LDA was another research direction of mine along with an effective hybrid deep learning model for sentiment classification. However, I also worked as a co-author for modeling hybrid feature-based phishing website detection. During my postgraduate studies, I published two Q2 journals (Elsevier and Springer) and five conference papers, and I have one under review in the journal Computing&AI Connect. Currently pursuing Ph.D. in Data Science at BUET
I am available on Friday and Saturday from 3pm to 12.30am BD time. On other days, I am available from 5pm to 12.30am BD time (from 12 PM UK).
(Approximately $484.99 USD)
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