I have participated in several international conferences and given research talks:
Practical Applications & Technical Insights of LLMs and Generative AI in Industry, ZB MED – Information Centre for Life Sciences, May 2025.
Research talk on Explainable AI at the University of Siegen, Germany, November 2021.
Presented paper titled "Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network" at 10th ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB), Niagara Falls, USA, 2019.
Presented paper titled "Cancer Risk and Type Prediction Based on CNVs with LSTM and Deep Belief Network" at 1st Artificial Intelligence International Conference (A2IC'2018), November 21-23, Barcelona, Spain.
Presented paper titled "OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data" at 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE'2019), October 27-30, 2019.
Presented paper titled "DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images" at 14th International Conference on Bioinformatics & Biomedicine (BIBM'2020), Seoul, Korea, December 16-19, 2020.
Presented paper "Classification Benchmarks for Under-resourced Bengali Language with Multichannel Convolutional LSTM Network” at IEEE International Conference on Data Science and Advanced Analytics (DSAA'2020), Sydney, Australia.
Organised and gave a talk for the hackathon "Deep Neural Networks for Analysing Cancer Genomics Data" at International Semantic Web Applications & Tools for Healthcare and Life Sciences (SWAT4HCLS) Conference, Rome, Italy, 4-7 December 2017.
Presented paper titled "DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language" at 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2021), Porto, Portugal, October 6-9, 2021.