• Master of Science (Ongoing) in Computer Science and Engineering from Daffodil International University.
• Bachelor of Science in Computer Science and Engineering from Daffodil International University.

Certified Training Experiences :

1. Mobile Android Application Development (SEIP Project), Basis Institute of Technology& Management (BITM).
2. Basic Computer Official Course, Bangladesh karigorisikkha Board, Bangladesh.
3. Cisco Certified CCNA course, American International University Of Bangladesh.

Attend workshops and seminars for enriching experiences.

• Machine Learning   
• Artificial Intelligence
• Data Mining
• Object Oriented Programming
• Software Project

• Sharun Akter Khushbu et al, "An Opinion Mining of Text in COVID-19 Issues Along with Comparative Study in ML, BERT & RNN", International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR2021), University of Salerno, Italy September 5-13, 2020. Proceedings: Procedia, pp: 1-16 [Scopus Indexed]. Link
• Sharun Akter Khushbu et al,"BlackOps at CheckThat! 2021: User Profiles Analyze of Intelligent Detection on Fake Tweets Notebook for PAN", Conference: Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation ForumAt: Bucharest, Romania [Scopus Indexed]. Link
• Sharun Akter Khushbu et al, “A Deep learning based Assistive System to Classify Covid-19 Face Mask for Human Safety with YOLOv3”, 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, July 1-3, 2020. Proceedings: IEEE Xplorer [Scopus Indexed] Link
• Sharun Akter Khushbu et al,"State of art Research in Edible and Poisonous Mushroom Recognition", 12th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, July 6-8, 2021. Proceedings: IEEE Xplorer [Scopus Indexed]Link
• Sharun Akter Khushbu et al, "Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19." International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR2021), University of Salerno, Italy September 5-13, 2020. Proceedings: Procedia, pp: 53-62 [Scopus Indexed].Link
• Sharun Akter Khushbu et al, “Recognising Dermis-Disorder using State-Of-Art NASNetLarge Transfer Learning Model and Data Augmentation with Convolutional Neural Network”, ICIPCN-2022: Third International Conference on Image Processing and Capsule Networks, May 20-21, 2022, Bangkok, Thailand [Scopus Indexed]. 
• Sharun Akter Khushbu et al, "COVID-19 in Bangladesh: A Deeper Outlook into The Forecast with Prediction of Upcoming Per Day Cases Using Time Series", 9th International Young Scientists Conference in Computational Science (YSC’2020), University of Amsterdam (UvA) and ITMO University, Russia September 5-13, 2020. Proceedings: Procedia, Elsevier [Scopus Indexed].
• Sharun Akter Khushbu et al,"Neural Network Based Bengali News Headline Multi Classification System: Selection of Features describes Comparative Performance", 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, July 1-3, 2020. Proceedings: IEEE Xplorer [Scopus Indexed].
• Sharun Akter Khushbu et al,"Toward an Enhanced Bengali Text classification Using Saint and Common Form", 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, July 1-3, 2020. Proceedings: IEEE Xplorer [Scopus Indexed]
• Sharun Akter Khushbu et al, "Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning." Soft Computing Techniques and Applications. Springer, Singapore, 2021. 409-421. [Scopus Indexed]
• Sharun Akter Khushbu et al, “A Study on Dengue Fever in Bangladesh: Predicting the Probability of Dengue Infection with External Behaviour with Machine Learning”, International Conference on Intelligent Computing and Control Systems, 1717-1721, 2021, [Scopus Indexed]
• Sharun Akter Khushbu et al, “A Deep learning based Assistive System to Classify Covid-19 Face Mask for Human Safety with YOLOv3”, 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, July 1-3, 2020. Proceedings: IEEE Xplorer [Scopus Indexed]

• Natural Language Processing
• Machine Learning
• Deep Learning
• Data Mining
• Computer Vision

• Certification in recognition of  Scholarly Publication in Reputed Scopus Indexed Journal, by Daffodil International University (2020, 2021).
• "Research Award" at DIU NLP and Machine Learning Research Lab for Research Contribution in the Year of 2020, 2021.

• Research Assistant at the Apurba-DIU R&D Lab (Full Time)