About Md. Emran Biswas
| Google Scholar | GitHub | ResearchGate |
Welcome! I am a data science enthusiast and aspiring researcher dedicated to designing, developing, and evaluating machine learning algorithms that address real-world challenges across domains such as intelligent transportation, natural language processing, and bioinformatics. I graduated in Electronics and Communication Engineering from Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh. I have a deep passion for interdisciplinary research, especially at the intersection of artificial intelligence and societal benefit, with a long-term goal of contributing to the field of AI for Good.
I am currently seeking for PhD position in the doimain of Data Science, Machine Learning and Artificial Intelligence
Research Interests
- Foundation Machine Learning Algorithm Development
- Large Language Modeling and Natural Language Processing (NLP) Applications
- Feature Selection Algorithm Development
- Intelligent Transportation Systems (ITS)
- Spatial-Temporal Fusion for Urban Mobility
- Task Offloading in Edge and Cloud Computing
- Bioinformatics
Recent News
- 📢 Our research paper titled DERIENet: A Deep Ensemble Learning Approach for High-Performance Detection of Jute Leaf Diseases published in Information, 2025
- 📢 Our research paper titled Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression published in International Journal of Data Science and Analytics, 2025
- 📢 Our research paper titled Spatio-temporal Feature Engineering and Selection-based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network published in Electronics, 2024
- 📢 Our conference paper titled Customized EfficientNet: A Transfer Learning Approach for Rice Leaf Disease Classification with Advanced Resizing and Augmentation presented at 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
- 📢 Our conference paper titled An Adaptive Machine Learning Approach for Electrical Fault Detection and Minimization presented at 2024 2nd International Conference on Information and Communication Technology (ICICT)
- 📢 Our conference paper titled A Bioinformatics Approach to Identify Hub Genes Across Schizophrenia, Anxiety, Bipolar Disorder, and Depressive Disorder for Network-Based Drug Discovery presented at 2024 2nd International Conference on Information and Communication Technology (ICICT)
- 📢 Our conference paper titled A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension presented at 2024 27th International Conference on Computer and Information Technology (ICCIT)
- 📢 Our conference paper titled Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees presented at 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
- 📢 Our conference paper titled An Effective Data Driven Approach to Predict Bike Rental Demand presented at 2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI)