BIO

Rashiduzzaman Shakil

Rashiduzzaman Shakil

Prospective PhD Student

Computer Science and Engineering
Daffodil International University

Academic Background

Masters of Science

Major: Computer Science

Institution: Daffodil International University

Status: Ongoing (Expected Graduation Year: 2026)


Bachelor of Science (B.Sc.)

Department: Computer Science and Engineering

Institution: Daffodil International University

CGPA: 3.97 / 4.00

Year: 2019 – 2023

Research Interests

Machine Learning
Deep Learning
Explainable AI
Digital Health
AI for Health Application
Federated Learning

Publications

Journal Articles

  1. F. M. Javed Mehedi Shamrat, T. Islam, X. Zhou, M. Y. Idna, R. Shakil, A. Sutradhar, R. Gururajan, MammoSegNet: a convolutional network analysis for segmenting tumor tissue masses in digital mammograms of breast cancer patients, Neural Computation & Applications, Sept. 2025. DOI: 10.1007/s00521-025-11631-6
  2. F. M. Mehedi Shamrat, R. Shakil, B. Akter, M. Z. Ahmed, K. Ahmed, M. B. Francis, M. A. Moni, An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection, Healthcare Analytics, vol. 5, p. 100303, Jun. 2024. DOI: 10.1016/j.health.2024.100303
  3. R. Shakil, S. Islam, B. Akter, A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI, Journal of Pathology Informatics, vol. 15, p. 100398, Dec. 2024. DOI: 10.1016/j.jpi.2024.100398
  4. R. Shakil, S. Islam, Y. A. Shohan, A. Mia, A. Rajbongshi, M. H. Rahmand, B. Akter, Addressing agricultural challenges: An identification of best feature selection techniques for dragon fruit disease recognition, Array, p. 100326, 2023. DOI: 10.1016/j.array.2023.100326
  5. A. Rajbongshi, R. Shakil, B. Akter, M. A. Lata, Md. M. A. Joarder, A comprehensive analysis of feature ranking-based fish disease recognition, Array, vol. 21, p. 100329, Mar. 2024. DOI: 10.1016/j.array.2023.100329
  6. F. M. J. M. Shamrat, R. Shakil, M. Y. I. Idris, B. Akter, X. Zhou, FruitSeg20: Segmentation dataset & mask annotations: A novel dataset for diverse fruit segmentation and classification, Data in Brief, p. 110821, Aug. 2024. DOI: 10.1016/j.dib.2024.110821
  7. U. Sara, A. Rajbongshi, R. Shakil, B. Akter, S. Sazzad, M. S. Uddin, An extensive sunflower dataset representation for successful identification and classification of sunflower diseases, Data in Brief, vol. 42, p. 108043, Jun. 2022. DOI: 10.1016/j.dib.2022.108043
  8. R. Shakil, B. Akter, F. M. J. M. Shamrat, S. R. H. Noori, A Novel Automated Feature Selection Based Approach to Recognize Cauliflower Disease, Bulletin of Electrical Engineering and Informatics, vol. 12, pp. 3541–3551, Dec. 2023. DOI: 10.11591/eei.v12i6.5359
  9. S. Sazzad, A. Rajbongshi, R. Shakil, B. Akter, M. S. Kaiser, RoseNet: Rose leaf dataset for the development of an automation system to recognize the diseases of rose, Data in Brief, vol. 44, p. 108497, Oct. 2022. DOI: 10.1016/j.dib.2022.108497
  10. U. Sara, A. Rajbongshi, R. Shakil, B. Akter, M. S. Uddin, VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system, Data in Brief, vol. 43, p. 108422, Aug. 2022. DOI: 10.1016/j.dib.2022.108422
  11. A. Rajbongshi, S. Sazzad, R. Shakil, B. Akter, and U. Sara, A comprehensive guava leaves and fruits dataset for guava disease recognition, Data in Brief, vol. 42, p. 108174, Jun. 2022. DOI: 10.1016/j.dib.2022.108174

Conference Papers

  1. A. Rajbongshi, A. A. Biswas, J. Biswas, R. Shakil, B. Akter, M. R. Barman, Sunflower Diseases Recognition Using Computer Vision-Based Approach, in 2021 9th Region 10 Humanitarian Technology Conference (R10-HTC), Sept. 2021, pp. 1–5. DOI: 10.1109/R10-HTC53172.2021.9641588
  2. R. Shakil, B. Akter, F. M. Javed Mehedi Shamrat, N. Jahan, S. Hasan, A. Khater, Systematic Analysis of Several Deep Learning Approaches for COVID-19 Detection Using X-ray Images, in 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Oct. 2022, pp. 1301–1307. DOI: 10.1109/ICOSEC54921.2022.9952147
  3. R. Shakil, B. Akter, F. Faisal, T. R. Chowdhury, T. Roy, A. Khater, A Promising Prediction of Diabetes Using a Deep Learning Approach, in 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Mar. 2022, pp. 923–927. DOI: 10.1109/ICCMC53470.2022.9753763
  4. B. Akter, R. Shakil, A. Rajbongshi, U. Sara, M. R. Barman, Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach, in 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Oct. 2022, pp. 1–6. DOI: 10.1109/ICCCNT54827.2022.9984443
  5. B. Akter, A. Rajbongshi, S. Sazzad, R. Shakil, J. Biswas, U. Sara, A Machine Learning Approach to Detect the Brain Stroke Disease, in 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Jan. 2022, pp. 897–901. DOI: 10.1109/ICSSIT53264.2022.9716345
  6. R. Shakil, B. Akter, A. Rajbongshi, U. Sara, M. R. Barman, A. Dhali, A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production, in Hybrid Intelligent Systems, Springer, Cham, 2023, pp. 127–141. DOI: 10.1007/978-3-031-27409-1_12
  7. R. Shakil, F. M. J. M. Shamrat, S. Sharmin, B. Akter, M. A. Rubi, A. Dutta, Toward Precision Diagnosis of Otitis Media: Introducing A Novel EarNet-AR Model, in 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Nov. 2023, pp. 1–6. DOI: 10.1109/ICAIHC59020.2023.10431468

Skills

Core Programming Skills

PythonAdvanced
CIntermediate
JavaIntermediate
Machine LearningAdvanced
Deep LearningIntermediate

Research & Experimental Tools

MATLABIntermediate
ImageJIntermediate
WekaIntermediate
LaTeX & OverleafExpert
Zotero & MendeleyAdvanced

Academic & Presentation Tools

MS Office (Word, Excel, PowerPoint)Advanced
Draw.io (Diagrams & Flowcharts)Advanced
Adobe Photoshop (Figures & Graphics)Intermediate
Wondershare Filmora (Educational Videos)Intermediate

Language Proficiency

BanglaNative
EnglishProfessional

Experience

Research Experience

  • Working as a Researach Assistant (RA) at Brain Machine Intelligence Tech. Research Lab (BMITRL).

Reviewer Experience

  • Reviewer in Discover Artificial Intelligence journal and have already reviewed one (1) articles successfully.
  • Reviewer in the Healthcare Analytics journal and have already reviewed two (2) articles successfully.
  • Reviewer in the Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) and reviewed one (1) article.
  • Reviewer in IAES International Journal of Artificial Intelligence (IJ-AI) and reviewed one (1) article.
  • Reviewer in Measurement journal and reviewed one (1) article.
  • Reviewer in International Research Journal of Multidisciplinary Technovation and reviewed one (1) article.

Leadership & Extracurricular activities

  • In 2023, served as Chair of Computer Society Chapter at DIU IEEE Student Branch. IEEE Membership ID: 98685350
  • Worked as a Video Editor and Animator in IEEE Computer Society Bangladesh Chapter Student Activities Committee.
  • From Fall 2021 to Summer 2022, worked as a Lab Prefect on Assembly Programming Language at Daffodil International University.
  • Since 2022, working as an Assistant General Secretary in Computer Programming Club (CPC), DIU.
  • Served as an Executive Member of Computer Programming Club (CPC), DIU in 2021.
  • Participated in ICPC Programming Contest in 2021.

Volunteer Experience

  • In 2021, worked with Icchalo Foundation in a wear distribution program.
  • In 2021, worked as an organizer and contest hall monitor in "DIU Take-off Programming Contest".

Awards & Achievements

Achieved Certificates from Prestigious Journals and Conferences

"A Novel Automated Feature Selection Based Approach to Recognize Cauliflower Disease" presented in Bulletin of Electrical Engineering and Informatics (BEEI), 2023.

"A Transfer learning approach to the development of an automation system for recognizing Guava disease using CNN models for feasible fruit production" presented in 22nd Hybrid Intelligent systems (HIS' 22).

"Systematic Analysis of Several Deep Learning Approaches for COVID-19 Detection using X-ray images" paper presentation in 3rd International Conference on Smart Electronics and Communication (ICOSEC-2022).

"A Promising Prediction of Diabetes Using a Deep Learning Approach" paper presentation in 6th International Conference on Computing Methodologies and Communication(ICCMC 2022).

"A Machine Learning Approach to Detect the Brain Stroke Disease" paper presentation in 4th International Conference on Smart Systems and Inventive Technology (ICSSIT 2022).

"An Agro Automation System for Endurable Sunflower Disease Recognition: A CNN-based Transfer Learning Approach" paper presentation in 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025).

"Toward Precision Diagnosis of Otitis Media: Introducing A Novel EARnet-AR Model" paper presentation in 2nd International Conference on Ambient Intelligence in Healthcare (ICAHC-2023).

Research Award-2023 for scholarly publication in scopus index journals. This award ceremony was arranged by Daffodil International University.

Research Award-2022 for scholarly publication in scopus index journals. This award ceremony was arranged by Daffodil International University.

Research Award-2021 for scholarly publication in scopus index journals. This award ceremony was arranged by Daffodil International University.


Achieved Certificates for Reviewer

Reviewer in Halthcare Analytics Journal: I have been play a role of a Reviewer in Healthcare Analytics Journal and successfully reviewed two (2) article.

Reviewer in IJEECS Journal: I have been play a role of Reviewer in Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) Journal and successfully reviewed one (1) article.

Reviewer in IJ-AI Journal: I have been play a role of a Reviewer in IAES International Journal of Artificial Intelligence and successfully reviewed one (1) article.

Reviewer in Measurement: I have been play a role of a Reviewer in Measurement Journal and successfully reviewed one (1) article.

Reviewer in Discover Artificial Intelligence Journal: I have been play a role of a Reviewer in Discover Artificial Intelligence Journal and successfully reviewed one (1) article.


Achieved Certificate For Extracurricular Activities

This certificate recognizes outstanding effort and significant contribution to Daffodil International University's "Computer and Programming Club (DIUCPC)" during the spring 2021 – fall 2021 semester.

This certificate was achieved for the contribution of an organizing member in the Take-off Programming Contest 2021. The contest was organized by the DIU CPC (Computer and Programming Club) & GCPC (Girls Computer and Programming Club) and held on 6th December 2021.

Video Tutorials

Overleaf Tutorial || Full Playlist


Research Guideline Playlist || For Beginner

Contact Me

Send Me a Message

0 / 500 words