Shakib Mahmud Dipto

Shakib Mahmud Dipto has recently joined the University of Liberal Arts Bangladesh (ULAB) as a Lecturer in the Department of Computer Science and Engineering. He pursued his M.Sc. in Computer Science and Engineering from Brac University, Bangladesh, and BSc. in Computer Science and Engineering from Brac University, Bangladesh. Having started his teaching and research career at Brac University in 2021 and working there for over two years, Shakib joined the University of Liberal Arts Bangladesh (ULAB) as a part-time faculty in 2023. 

Shakib is a passionate Computer Vision researcher with a background in teaching, evaluating, and engaging with students. He strives to foster curiosity and a thirst for knowledge among my students, empowering them to explore the fascinating world of technology. His research revolves around cutting-edge topics in Computer Vision, Machine Learning, Deep Learning, and Medical Image Processing.

Department of Computer Science and Engineering (CSE)
Bachelor of Science, Computer Science and Engineering (CSE)

M.Sc. in Computer Science and Engineering, Brac University, Bangladesh
*Thesis Under Evaluation

B.Sc. in Computer Science and Engineering, Brac University, Bangladesh

Computer Vision, Medical Image Processing, Explainable AI, Machine Learning, and Deep Learning.

Awards:

• Academic Scholarship: Merit Based Scholarship on Academic Results for maintaining the highest CGPA in M.Sc. Program.

1. Aminul Huq*, Md Tanzim Reza, Shahriar Hossain, Shakib Mahmud Dipto, “Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder”, International Journal of Reconfigurable and Embedded Systems (IJRES), Scopus Indexed [Registration Completed, 2022].
2. Shakib Mahmud Dipto*, Nadia Tasnim Mim, Md Tanzim Reza, Md Sabbir Hossain, Md. Farhadul Islam, Annajiat Alim Rasel, “Red Blood Cell Abnormality Detection Under Federated Environment Using Deep Learning”, SN Computer Science, IF: 3.78, Q1 journal, Scopus Indexed [Under Review, 2023]

1. Shakib Mahmud Dipto, Md Tanzim Reza, Md. Nowroz Junaed Rahman and Mohammad Zavid Parvez*, “An XAI Integrated Identification System of White Blood Cell Type using Variants of Vision Transformer”, ICR'23:  The 2023 International Conference on Innovations in Computing Research, Spain, 2023, DOI: https://doi.org/10.1007/978-3-031-35308-6\_26
2. Md Tanzim Reza, Shakib Mahmud Dipto and Mohammad Zavid Parvez*, “A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet”, ACR'23: The 2023 International Conference on Advances in Computing Research, USA, 2023, DOI: https://doi.org/10.1007/978-3-031-33743-7\_21
3. Shakib Mahmud Dipto, Irfana Afifa, Mostofa Kamal Sagor, Md. Tanzim Reza and Md. Ashraful Alam*, “Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI”, BIOMESIP 2021: Bioengineering and Biomedical Signal and Image Processing, Spain, 2021, DOI: https://doi.org/10.1007/978-3-030-88163-4\_33.

1. Shakib Mahmud Dipto*, Mst. Nasrin Akhter, Md Tanzim Reza, Nadia Tasnim Mim, and Md. Ashraful Alam, “PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network”, IEEE World AI IoT Congress 2023, Vitual, 2023, DOI: https://doi.org/10.1109/AIIoT58121.2023.10174549. DOI: https://doi.org/10.1109/CSDE56538.2022.10089263
2. Nigar Sultana Nuha, Ramisa Farha, Sowat Hossain Rafi, Syed Nazmus Sakib, Md Sabbir Khan, Shakib Mahmud Dipto, Md Tanzim Reza and Md Ashraful Alam*, “Lossless Segmentation of Brain Tumors from MRI Images using 3D U-Net,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2022), Australia, 2022,
3. Mohammad Faizul Kabir, Farzana Chowdhury Raisa, Shakib Mahmud Dipto, Arif Shakil, and Md. Ashraful Alam*, “Loss Function Computation using Machine Learning Algorithms Based on the Effects of Natural Disasters and Plant Diseases on Plant Growth,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2022), Australia, 2022, DOI: https://doi.org/10.1109/CSDE56538.2022.10089283.
4. Tahmid Ashrafee Promit, Md Akibur Rahman Khan, Nahian Arnob, Rabbi Nur Rashid, Afif Reza, Prof. Dr. Md. Ashraful Alam and Shakib Mahmud Dipto*, “Detection of Coronary Artery Blockage at an Early Stage using Effective Deep Learning Technique”, 2022 25th International Conference on Computer and Information Technology (ICCIT), Bangladesh, 2022, DOI: https://doi.org/10.1109/ICCIT57492.2022.10055691.
5. Annur Tasnim Islam, Sakib Mashrafi Apu , Sudipta Sarker , Syeed Alam Shuvo , Inzamam M. Hasan , Dr. Md. Ashraful Alam and Shakib Mahmud Dipto*, “An Efficient Deep Learning Approach to detect Brain Tumor Using MRI Images”, International Conference on Computer and Information Technology (ICCIT 2022), Bangladesh, 2022, DOI: https://doi.org/10.1109/ICCIT57492.2022.10054999. 
6. Mostofa Kamal Sagor, Shakib Mahmud Dipto, Ishrat Jahan, Susmita Chowdhury, Md Tanzim Reza and Md Ashraful Alam*, “An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling”, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia, 2021, DOI: https://doi.org/10.1109/CSDE53843.2021.9718454.
7. Shakib Mahmud Dipto, Asif Iftekher, Tomalika Ghosh, Md Tanzim Reza and Md Ashraful Alam*, “Suitable Crop Suggesting System Based on NPK Values Using Machine Learning Models”, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia, 2021, DOI: https://doi.org/10.1109/CSDE53843.2021.9718374.
8. Shadman Shahriar Hasan Arko, Md Tamjid Hossain, Shakib Mahmud Dipto, Samiul Islam Shad, Md Ashraful Alam*, “Real world objects augmentation in virtual 3D environment RealSense SDK, Deep Learning and Game Engine”, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia, 2021, DOI: https://doi.org/10.1109/CSDE53843.2021.9718388.
9. Tahsinur Rahman, Yasin Ahmed, Tawsiful Alam, Md Hasibur Rahman Shakil, Md Tanjidul Hossain, Fairoz Nawer Khan, Shakib Mahmud Dipto, Mostafijur Rahman Akhond and Md Ashraful Alam*, “Evaluation of Earthquake Resistance of Urban Buildings using Image Processing and Machine Learning Techniques”, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Australia, 2020, DOI: https://doi.org/10.1109/CSDE50874.2020.9411582.