Faculty of Science and Engineering
Department of Computer Science and Engineering
● Master’s in Information and Communication Technology (Specialization: Advanced Machine Learning) from Jahangirnagar University (JU).
● BSc in Institute of Information Technology from Jahangirnagar University (JU).
● HSC from Idris Mollah Degree College.
● SSC from Kalaiya Hayatunnesa Girls High School.
This is Sraboni Ghosh Joya. I am currently working as a Lecturer at City University, Bangladesh. In 2022, I acquired my BSc in Information Technology from JU, and in December 2023, I appeared for my Masters final examination in Information and Communication Technology (Specialization: Advanced Machine Learning), also at JU. Throughout my BSc and Master's degrees at JU, I received departmental scholarships for academic distinction in each semester. During my master's programme, I received an NST and UGC fellowship for my research work. Some of my research papers have been accepted but not yet published in a variety of publications and conferences. My research interests include the Internet of Things (IoT), Machine Learning, Artificial Intelligence, Explainable Artificial Intelligence, AR & VR, Metaverse, and Blockchain.
1. Lecturer, Department of Computer Science and Engineering, City University, September 2023 –Present.
1. Internet of Things (IoT).
2. AI & XAI
3. AR & VR
4. Metaverse
5. Machine Learning / Deep Learning
6. Blockchain Cloud Computing.
7. Communication Technology.
1. Aminul Islam Shanto, M., Joya, S.G., Shamim Kaiser, M. and Sazzadur Rahman, M., 2023, December. A Deep Learning-Based Approach for Engagement Assessment of Students with Autism Spectrum Disorder. In International Conference on Trends in Electronics and Health Informatics (pp. 461-482). Singapore: Springer Nature Singapore.
2. Sraboni Ghosh Joya, Nila Sultana, 2025, "Opening the Black-Box: Explainable AI in Network Intrusion Detection", 7th International Conference on Integrated Sciences.
3. Nila Sultana, Sraboni Ghosh Joya, 2025, "Performance Evaluation of CNN Models using Transfer-Learning and Ensemble Approaches for Automated Leukemia Diagnosis", 7th International Conference on Integrated Sciences.
4. A machine-learning based approach for predicting election results using social media and print media data. (MSc Thesis - Accepted