| My research interests focus on modern Data Science, more specifically on the application of Deep Learning, Neural Network, including techniques of Machine Learning, Probabilistic Reasoning, Fuzzy Logic, Computational Intelligence, Data Mining, Computer Vision. I am passionate about my work. I focus on my work with research, academics and developing skills. I love to learn about real life things. Past few years I take many online courses and build up my skill. I have a good knowledge of Neural Network, web development with PHP, Java, Python, and framework. Recently work with machine learning and deep learning to make a successful research career in AI, especially computer vision for healthcare and real-life application. I am not restricted to any specific platform as I believe programming language is just a tool to solve some specific problems. |
Book Chapters:
- M S Junayed, A A Jeny, N Neehal, E Ahmed and S A Hossain, “Incept-N: A Convolutional Neural Network based Classification Approach for Predicting Nationality from Facial Features”, In: Santosh K., Hegadi R. (eds) Recent Trends in Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018, Communications in Computer and Information Science, vol 1035. Springer, Singapore, DOI: 10.1007/978-981-13-9184-2_41 (Springer, SCOPUS )
- M S Junayed, A A Jeny, N Neehal, S T Atik and S A Hossain,“A Comparative Study of Difference CNN models in City Detection using Landmark Images”, In: Santosh K., Hegadi R. (eds) Recent Trends in Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018, Communications in Computer and Information Science, vol 1035. Springer, Singapore, DOI: 10.1007/978-981-13-9181-1_48 (Springer, SCOPUS )
- A A Jeny, M S Junayed, S T Atik and S Mahamd, (2020), "A model for identifying Historical landmarks of Bangladesh from image content using a Depthwise Convolutional Neural Network", In: Abraham A., Cherukuri A., Melin P., Gandhi N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham, DOI: 10.1007/978-3-030-16657-1_41 (Springer, SCOPUS )
Conference Proceedings:
- M S Junayed, A A Jeny, S T Atik, N Neehal, A Karim, S Azam and B Shanmugam, “AcneNet - A Deep CNN Based Classification Approach for Acne Classes”,12th International Conference on Information & Communication Technology and System (ICTS), 18-18 July 2019, Surabaya, Indonesia. DOI: 10.1109/ICTS.2019.8850935 (IEEE Xplore)
- A. A. Jeny, M S Junayed, I. Ahmed, M. T. Habib and M. R. Rahman, “FoNet - Local Food Recognition Using Deep Residual Neural Networks”,2019 International Conference on Information Technology (ICIT),Bhubaneswar, India, 2019, pp. 184-189. DOI: 10.1109/ICIT48102.2019.00039 (IEEE Xplore)
- A A Jeny, MS Junayed, and S T Atik, “PassNet – Country Identification by Classifying Passport Cover using Deep Convolutional Neural Networks”, 21st International Conference on Computer And Information Technology, December 21-23,2018, Dhaka, Bangladesh. DOI: 10.1109/ICCITECHN.2018.8631975 (IEEE Xplore)
Journal Publications (Article):
- M S Junayed, A A Jeny, M T Habib, S Rahman, "Deep Learning Based Approach for Recognition of Local Fish", Accepted in International Journal of Intelligent Machines and Robotics (IJIMR). [Inderscience]
- M S Junayed, M Robel, A A Jeny, M T Habib,“Machine Vision Based Acne Disease Recognition”,International Journal of Advanced Computer Science and Applications (IJACSA), [UnderReview]
- M S Junayed, A A Jeny, M T Habib, S Rahman, "Freshwater Fish Species Recognition Using Deep Learning ", Journal of Computer Science and Technology (JSCT). [UnderReview]
- M S Junayed, A A Jeny, N Anjum, M B Islam, "A Comparative Study of Deep Learning Based Classification and Segmentation Approach for Acne Diseases ", IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[UnderReview]
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