Computer Science and Engineering

Mr. G. M. Shahariar

Research Interests

• Computational Linguistics
• Bias and Fairness in Language Models
• Natural Language Processing
• Large Language Models (LLMs)
• Adversarial Robustness of Language Models
• Software Engineering

Educational Background

• Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University of Science & Technology

Honors and Achievements

• Best Paper Award, International Conference on Electrical, Computer and Communication Engineering (ECCE), 2023
• Khan Bahadur Ahsanullah Medal, Ahsanullah University of Science and Technology, 2023
• Prime Minister Gold Medal, University Grants Commission of Bangladesh, 2018
• Dean's List of Honor, Ahsanullah University of Science and Technology, 2018

Publications

• Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification, 2023 26th International Conference on Computer and Information Technology (ICCIT), 2024
• A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bengali Texts, The 9th Workshop on Noisy and User-generated Text (W-NUT) collocated with EACL 2024, 2024
• Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME, 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), 2023
• Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning, 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), 2023
• Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions, Proceedings of International Conference on Information and Communication Technology for Development. Studies in Autonomic, Data-driven and Industrial Computing, 2023
• Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks, 5th International Conference on Natural Language Processing (ICNLP 2023), 2023
• Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach, 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), 2023
• Contrastive Learning for API Aspect Analysis, 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), 2023
• Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?, International Conference on Machine Intelligence and Emerging Technologies (MIET 2022). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023
• Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning, 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2023
• Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning, International Conference on Machine Intelligence and Emerging Technologies (MIET 2022). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023
• Urgent Text Detection in Bengali Language Based on Boosting Techniques, Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, 2022
• Automatic back transliteration of Romanized Bengali (Banglish) to Bengali, Iran Journal of Computer Science, 2022
• Spam Review Detection Using Deep Learning, 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2019