Md Rakibul Haque

Md Rakibul Haque

Researcher || Problem Solver || Traveller.

Education

Research Interests

Developing and optimizing large-scale Machine Learning and Deep Neural Network-based models, with emphasis on applications in Remote sensing, Medical healthcare, and Social context analysis.

Publications

Book Chapters

  • "Probing Skin Lesions and Performing Classification of Skin Cancer Using EfficientNet while Resolving Class Imbalance Using SMOTE" - In Computer Vision and Image Analysis for Industry 4.0, pp. 51-63. Chapman and Hall/CRC, 2023.
  • "A Deep Learning Approach in Detailed Fingerprint Identification" - In Computer Vision and Image Analysis for Industry 4.0, pp. 41-50. Chapman and Hall/CRC, 2023.
  • "Leveraging Attention Mechanisms to Enhance EfficientNet for Precise Analysis of Chest CT Images" - Accepted, In Lecture Notes in Networks and Systems, 2023.

Journal Articles

  • "YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment" - Ecological Informatics, 72 (2022): 101847.
  • "A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images" - Journal of Intelligent Fuzzy Systems, 43(1): 1241-1258, 2022.
  • "Oric-ens: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae" - Computational Biology and Chemistry, 92 (2021): 107502.

Conference Papers

  • "Improving Classification of Lung Abnormalities in Chest X-ray Images through Attention-guided Lightweight Convolutional Neural Network" - Accepted, In International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023).
  • "A Lightweight CNN Architecture for Chest X-ray Images Analysis to Facilitate Early Stage Detection of Lung Diseases" - In 2022 25th International Conference on Computer and Information Technology (ICCIT), pp. 915-920. IEEE, 2022.
  • "Exploring Spectral and Spatial Features Using a Hybrid Approach Combining Stacked AutoEncoder and a Novel Convolutional Neural Network for Hyperspectral Image Classification" - In 2021 24th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2021.
  • "Low-Resolution Hand Gestures Recognition of Bengali Sign Alphabet by Using a Convolutional Neural Network" - In 2021 24th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2021.
  • "Improving Performance of a Pre-trained ResNet-50 Based VGGFace Recognition System by Utilizing Retraining as a Heuristic Step" - In 2021 24th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2021.
  • "Ddos attack detection in iot networks using deep learning models combined with random forest as feature selector" - In Advances in Cyber Security: Second International Conference, ACeS 2020, Penang, Malaysia, December 8-9, 2020, Revised Selected Papers 2, pp. 118-134. Springer Singapore, 2021.
  • "A combined approach using image processing and deep learning to detect pneumonia from chest x-ray image" - In 2019 3rd International Conference on Electrical, Computer Telecommunication Engineering (ICECTE), pp. 89-92. IEEE, 2019.
  • "Performance analysis of different neural networks for sentiment analysis on IMDb movie reviews" - In 2019 3rd International Conference on Electrical, Computer Telecommunication Engineering (ICECTE), pp. 161-164. IEEE, 2019.
  • "Spectral-spatial feature extraction using PCA and multi-scale deep convolutional neural network for hyperspectral image classification" - In 2019 22nd International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2019.
  • "Breast cancer diagnosis models using PCA and different neural network architectures" - In 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), pp. 1-4. IEEE, 2019.

Professional Experience

Selected Projects

Awards and Honour

Skills