Teachers Profile
| Name: | Israt Jahan |
| Designation: | Faculty |
| Department: | Computer Science & Engineering and Computer Science & Information Technology |
| Faculty: | Engineering & Technology |
| Contact Number: | 01861696962 |
| Email: | [email protected] |
| Degree Name: University |
M.Sc in Engineering (Information and Communication Engineering) Noakhali Science and Technology University |
| Degree Name: University |
B.Sc in Engineering (Information and Communication Engineering) Noakhali Science and Technology University |
| Degree Name: College |
Higher Secondary Certificate (HSC) Chittagong Govt. City College |
| Degree Name: School |
Secondary School Certificate (SSC) P H Ameen Academy |
| 1. Deep Learning Frameworks: TensorFlow, PyTorch, Keras |
| 2. Programming Languages: Python, R, C, C++ |
| 3. Machine Learning Algorithms: Supervised, Unsupervised, Reinforcement Learning |
| 4. Data Processing: NumPy, Pandas, Scikit-learn |
| 1. 4D: A Real Time Driver Drowsiness Detector Using Deep Learning Israt Jahan , K M Aslam Uddin and Saydul Akber Murad,MDPI Electronics, Electronics 2023, 12(1), 235 (https://doi.org/10.3390/electronics12010235) |
| My research employs a variety of deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), optimization in machine learning, explainable AI in Deep Learning etc. I also utilize transfer learning, data augmentation, and ensemble methods to improve model performance. The models and algorithms developed through my research have not only achieved state-of-the-art results in academic benchmarks but have also been adopted by industry partners, leading to practical improvements in healthcare diagnostics and financial risk management. |
| 1. INFORMATION AND COMMUNICATION TECHNOLOGY DIVISION FELLOWSHIP 2023 Ministry of Information and Communication Technology, Bangladesh • Awarded for my master’s research on "HexaPoxNet: Advanced Deep Learning Strategies for Identifying and Categorizing Monkeypox Lesions in Human Patients" • This work is currently under review to be published in a reputed journal |
| 2. NATIONAL SCIENCE AND TECHNOLOGY FELLOWSHIP 2023 Ministry of Science and Technology, Bangladesh • Awarded for outstanding impactful research on "4D: A Real-Time Driver Drowsiness Detector Using Deep Learning" • Published the work in MDPI Electronics Journal. |