Profile of Md. Rashedul Islam

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Md. Rashedul Islam

Associate Professor

Department of Computer Science and Engineering (CSE)

Faculty of Computer Science and Engineering

Hajee Mohammad Danesh Science & Technology University, Dinajpur.

E-mail: rashedul_cse@hstu.ac.bd

Mobile: +8801737334004


CAREER OBJECTIVE

    To enhance the students' performance by cultivating and promoting creativity and higher-order thinking skills.

RESEARCH INTEREST

    Machine Learning, Deep Learning, Edge Computing, Edge Data Integrity Verification, Federated Learning, Blockchain, Remote Sensing Image analysis, Feature extraction and selection from the Hyperspectral images, Information Security

EDUCATION

  1. Doctor of Philosophy in Information Technology [2023-Ongoing], 2026

    Deakin University (Melbourne Burwood Campus), Melbourne, VIC-3125, Australia

  2. M.Sc. in Computer Science and Engineering, 2019

    Rajshahi University of Engineering and Technology, Rajshahi.

  3. B.Sc. in Computer Science and Engineering(B.Sc. CSE), 2012

    Hajee Mohammad Danesh Science and Technology University, Dinajpur.

  4. HSC, 2007

    Dinajpur Govt. College, Dinajpur.

  5. SSC, 2005

    Police Line High School, Dinajpur.


PROFESSIONAL EXPERIENCES

  1. Associate Professor
    Hajee Mohammad Danesh Science and Technology University, Dinajpur.

    September 01, 2022 to Present

  2. Assistant Professor
    Hajee Mohammad Danesh Science and Technology University, Dinajpur.

    September 01, 2017 to August 31, 2022

  3. Lecturer
    Hajee Mohammad Danesh Science and Technology University, Dinajpur.

    September 01, 2014 to August 31, 2017

  4. Lecturer, Dept. of CSE
    Uttara University, Dhaka

    May 20, 2014 to August 31, 2014

  5. Lecturer
    University of Development Alternative(UODA)

    May 01, 2014 to May 20, 2014

  6. Programmer
    Global Info Tech System

    March 01, 2014 to April 30, 2014


PUBLICATIONS

Journal Papers

  1. Md. Touhid Islam, and Md. Rashedul Islam, "Advancing Hyperspectral Image Classification with Dual Branch Networks and Informative Feature Extraction" Journal of Spatial Science, (Scopus, Thomson Reuters, IF: 1.981). (Major Revision Submitted)

  2. Md. Rashedul Islam, Md. Touhid Islam, Md Palash Uddin, and Anwaar Ulhaq. 2024. "Enhancing Hyperspectral Image Classification through Cross-Dimensional Reduction with Compact Multi-Branch Deep Learning" Remote Sensing 16, no. 5: 807. (IF= 5.0, Cite Score=7.4, Q1) (Major Revision Submitted)

  3. Md. Touhid Islam, Md. Rashedul Islam, Md Palash Uddin, and Anwaar Ulhaq. 2024. "Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery" Remote Sensing 16, no. 5: 807. https://doi.org/10.3390/rs16050807 ( February 25,  2024, IF= 5.0, Cite Score=7.4, Q1)

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  4. Md. Omar. Faruque, Md. Rashedul Islam, and Md. Touhid Islam, “Advanced masked face recognition using robust and light weight deep learning model,” International Journal of Computer Applications, vol. 186, no. 2, pp. 42–51, Jan. 2024, issn: 0975-8887.

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  5. Md Touhid Islam, Md Rashedul Islam, Md Palash Uddin, and Anwaar Ulhaq, "A Deep Learning-based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling", Remote Sensing, DOI: https://doi.org/10.3390/rs15143532( July 12,  2023, IF= 5.0, Cite Score=7.4, Q1)

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  6. Md. Rashedul Islam, Md. Touhid Islam, and Md Palash Uddin "Improving Hyperspectral Image Classification through Spectral-Spatial Feature Reduction with a Hybrid Approach and Deep Learning" Journal of Spatial Science, June 2023. DOI: https://doi.org/10.1080/14498596.2023.2227948 (Scopus, Thomson Reuters, IF: 1.981).

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  7. Md Rashedul Islam, Ayasha Siddiqa, Masud Ibn Afjal, Md Palash Uddin, and Anwaar Ulhaq. 2023. "Hyperspectral Image Classification via Information Theoretic Dimension Reduction" Remote Sensing, Vol. 14, Issue 4, DoI:   https://doi.org/10.3390/rs15041147 ( February 2023 IF= 5.349, Cite Score=7.4, Q1

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  8. Md Rashedul Islam, Boshir Ahmed, Md Ali Hossain, and Md Palash Uddin. 2023. "Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification" Sensors 23, no. 2: 657. https://doi.org/10.3390/s23020657 ( 2023 IF= 3.847, Scopus, Q1)

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  9. A. Siddiqa, Md. Rashedul Islam. Masud Afjal, "Spectral Segmentation based Dimension Reduction for Hyperspectral Image Classification." Journal of Spatial Science, May 2022.  Article DOI: https://www.tandfonline.com/doi/full/10.1080/14498596.2022.2074902  (Scopus, Thomson Reuters, IF: 1.981, Q1).

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  10. Md. Rashedul. Islam, T. R. Tanni, S. Parvin, M. J. Sultana, and A. Siddiqa, (2020) “A Modified LSB Image Steganography Method Using Filtering Algorithm and Stream of Password”, Information Security Journal: A Global Perspective. DOI:  https://doi.org/10.1080/19393555.2020.1854902 (ESCI, Scopus, IF: 1.8 (2022), Q2). 

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  11. Md. Rashedul Islam, Boshir Ahmed & Ali Hossain  Feature reduction of hyperspectral image for classification, Journal of Spatial Science, 67:2, 331-351, May 2020. 

    DOI: https://doi.org/10.1080/14498596.2020.1770137 (Scopus, Thomson Reuters, IF: 1.981, Q1)

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  12. Zareen Binta Zakaria and Md. Rashedul Islam. Hybrid 3DNet: Hyperspectral Image Classification with Spectral-spatial Dimension Reduction using 3D CNN. International Journal of Computer Applications 184(23):6-11, July 2022.

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  13. Md. Rashedul Islam, Ayasha Siddiqa, Nafisa Tasnim, "An Efficient Dimensionality Reduction Method for the Classification of Satellite Remote Sensing Hyperspectral Images" International Journal of Computer Applications, Volume 183 – No. 14, July 2021, DOI: http://dx.doi.org/10.5120/ijca2021921458

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  14. Sharmin Sultana, Afrida Khanam, Md. Rashedul Islam, Adiba Mahjabin Nitu, Md. Palash Uddin, Masud Ibn Afjal and Md. Fazle Rabbi, A Modified Filtering Approach of LSB Image Steganography Using Stream Builder along with AES Encryption, HBRP Recent Trends in Information Technology and its Applications, Volume 1 Issue 2, pp. 1-10, 2018

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  15. Popi Basak, Laila Arjuman, Adiba Mahjabin Nitu, Masud Ibn Afjal, Md. Palash Uddin, Md. Fazle Rabbi and Md. Rashedul Islam, A Modified Blind Steganalysis Method Based on the Moments of Characteristic Function, HBRP Advancement in Software Engineering and Testing, Volume 1 Issue 2, pp. 1-9, 2018

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  16. Shikhor Kumer Roy, Abinash Kanti Ghosh, Aysa Siddika Asa, Md. Palash Uddin, Md. Rashedul Islam and Masud Ibn Afjal, Bengali consonants-voice to text conversion using machine learning tool, International Journal of Research in Computer Engineering and Electronics. Volume-6 Issue-2, ISSN 2319-376X, March 2017.

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  17. M. Sohrawordi, M. M. Hossen, M. P. Uddin, A. M. Nitu, and M. R. Islam, "Android-based Walking Assistant for Blind and Low-vision People Suggesting the Shortest Path using Floyd-Warshall Algorithm," Journal of Innovation & Development Strategy, vol. 9, issue. 2, pp. 62-69, 2015.

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  18. Md. Nadim, S.M Motakabber Billah, Md. Shahnoor Alam, Ashis Kumar Mandal, Md. Palash Uddin and Md. Rashedul Islam, "Cross-user Source-based Data Deduplication in Distributed System without Violating Data Privacy of Individual User," International Journal of Research in Computer Engineering and Electronics (IJRCEE), vol. 3, issue. 6, 2014.

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Conference Papers

  1. Asadullah Bin Rahman, Md. Touhid Islam, Md. Rashedul Islam, Md. Sohrawordi, Md. Nahid Sultan, "Enhanced Brain Tumor Classification from MRI Images Using Deep Learning Model", 26th International Conference on Computer and Information Technology (ICCIT 2023), December 13-15, 2022, Cox’s Bazar, Bangladesh.

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  2. Ashikur Bhuyain, Jannatul Ferdouse, Mozaddid Babar, Md Sohrawordi, Md. Rashedul Islam, and Emran Ali “An Efficient Feature Optimization Approach with Machine Learning for Detection of Major Depressive Disorder Using EEG Signal” 26th International Conference on Computer and Information Technology (ICCIT 2023), December 13-15, 2022, Cox’s Bazar, Bangladesh.

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  3. Md. Touhid Islam, Md. Rashedul Islam, "Crossover Dimensionality Reduction and Multi-Branch Deep Learning for Enhanced Hyperspectral Image Classification", 6th International Conference on Electrical Information and Communication Technology (EICT 2023), 7-8 December, Khulna, Bangladesh. doi: 10.1109/EICT61409.2023.10427647 (Best Paper Award)

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  4. Shah Rafatur Rahman, Aditya Chakrabortty, Md. Rashedul Islam, Md. Touhid Islam, Dr. Md. Abdulla Al Mamun, "A Machine Learning Algorithm to Detect Alzheimer’s Disease Using MRI Images", 6th International Conference on Electrical Information and Communication Technology (EICT 2023), 7-8 December, Khulna, Bangladesh. DOI: 10.1109/EICT61409.2023.10427643.

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  5. Tazbiul Hasan, Md. Liakot Ali Liton, Md Habibur Rahman, Md. Touhid Islam, Md. Rashedul Islam, "Segmentation-based Dimensionality Reduction for Hyperspectral Image Classification", 6th International Conference on Electrical Information and Communication Technology (EICT 2023), 7-8 December, Khulna, Bangladesh.  doi: 10.1109/EICT61409.2023.10427661

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  6. Aditya Chakrabortty, Shah Rafatur Rahman, Md. Touhid Islam, Md. Rashedul Islam, Dr. Md. Abdulla Al Mamun, "Early Detection of Alzheimer's Disease Based on Deep Learning Approach Using Brain MRI", 6th International Conference on Electrical Information and Communication Technology (EICT 2023), 7-8 December, Khulna, Bangladesh.  DOI: 10.1109/EICT61409.2023.10427876


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  7. Md. Rashedul Islam, Md. Touhid Islam, and Md. Sohrawordi, “Selective HybridNET: Spectral-Spatial Dimensionality Reduction for HSI Classification”, 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE 2023), February 23-25, 2023, Chittagong, Bangladesh. 

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  8. Md. Rashedul Islam, Dr. Boshir Ahmed, “Spectral–Spatial Dimensionality Reduction for Hyperspectral Image Classification” International Conference on Computer and Information Technology (ICCIT), December 17-19, 2022, Cox’s Bazar, Bangladesh.

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  9. Md. Touhid Islam, Mohadeb Kumar, Md. Rashedul Islam, Md. Sohrawordi, “Subgrouping-Based NMF with Imbalanced Class Handling for Hyperspectral Image Classification”, International Conference on Computer and Information Technology (ICCIT), December 17-19, 2022, Cox’s Bazar, Bangladesh.

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  10. Md. Touhid Islam, Mohadeb Kumar, Md. Rashedul Islam, Md. Sohrawordi, “Spectral-Spatial Feature Reduction for Hyperspectral Image Classification with Optimized Technique Series,” 12th International Conference on Electrical and Computer Engineering (ICECE), December 21-23, 2022, Dhaka, Bangladesh.

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  11. Md. Touhid Islam, Mohadeb Kumar, Md. Rashedul Islam. “MC-NET: Spectral-Spatial Feature Reduction for Hyperspectral Image Classification with Optimized Technique Series”, 4th International Conference on Electrical, Computer & Telecommunication Engineering(ICECTE), December 29-31, 2022, Rajshahi, Bangladesh. 

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  12. A. Siddiqa, M. Ibn Afzal, M. R. Islam and A. Mahjabin Nitu, "Spectral Subset Detection for Hyperspectral Image Classification," 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), 2019, pp. 1-6, doi: 10.1109/ICIET48527.2019.9290596.

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  13. U. A. M. E. Ali, M. A. Hossain and M. R. Islam, "Analysis of PCA Based Feature Extraction Methods for Classification of Hyperspectral Image," 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), 2019, pp. 1-6, doi: 10.1109/ICIET48527.2019.9290629.

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  14. Md. Rashedul Islam, Boshir Ahmed and Md. Ali Hossain, "Feature Reduction Based on Segmented Principal Component Analysis for Hyperspectral Images Classification," 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019, pp. 1-6, doi: 10.1109/ECACE.2019.8679394.

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  15. Md. Rashedul Islam, Ayasha Siddiqa, Md. Palash Uddin, Ashis Kumar Mandal and Md. Delowar Hossain, "An efficient filtering based approach improving LSB image steganography using status bit along with AES cryptography," 2014 International Conference on Informatics, Electronics & Vision (ICIEV), 2014, pp. 1-6, doi: 10.1109/ICIEV.2014.6850714.

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Books

  1. Md. Touhid Islam, Mohadeb Kumar, Md. Rashedul Islam, “Hybrid-2D NET: Spectral-Spatial Feature Reduction for Hyperspectral Image Classification”, In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-031-34622-4_45

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  2. Rashedul Islam M., Ali Hossain M., Ahmed B. (2020) Improved Subspace Detection Based on Minimum Noise Fraction and Mutual Information for Hyperspectral Image Classification. In: Uddin M., Bansal J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_53

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Awards and SCHOLARSHIPS

  1. Best Paper Award - Third Position

    Funded by: 6th International Conference on Electrical Information and Communication Technology (EICT 2023)

  2. Deakin University Postgraduate Research Scholarship (DUPRS) - 2023

    Funded by: Deakin University, Melbourne, Australia (2023-Ongoing)

  3. Best Presentation Awards: IRT Project Presentation, CSE Faculty (Fiscal Year: 2021-2022)

    Funded by: Funded by: IRT, HSTU

  4. UGC Merit Scholarship - 2011

    Funded by: University Grants Commission, Dhaka, Bangladesh

  5. Dean’s List Award: For each of the last 03 undergrad years (2010, 2011, 2012)

    Funded by: Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur-5200, Bangladesh

  6. Higher Secondary School Certificate (HSC) Merit Scholarship -2007

    Funded by: Bangladesh Education Board

  7. Secondary School Certificate (SSC) Merit Scholarship -2005

    Funded by: Bangladesh Education Board

  8. Primary Merit Scholarship-1999

    Funded by: Directorate of Primary Education


PROJECTS

  1. A Hybrid Spectral Spatial Dimensionality Reduction Method to Extract the Agriculture Field from the Satellite Hyperspectral Image.

    Funded by: Institute of Research and Training (IRT), HSTU-Dinajpur.

    Position: Principal Investigator (PI)

    Description: (Fiscal Year 2022-2023)

  2. Extracting Agriculture Lands from Satellite Remote Sensing Hyperspectral Imagery Using Deep Convolutional Neural Network

    Funded by: Institute of Research and Training (IRT), HSTU-Dinajpur.

    Position: Principal Investigator (PI)

    Description: (Fiscal Year 2021-2022)

  3. Improved LSB water marking technique using one dimensional logistic map and AES encryption algorithm

    Funded by: IRT, HSTU

    Position: Co PI

    Description: Research Project in information security domain based on LSB water marking, 1D logistic map and AES encryption algorithm.

  4. An Efficient Dimensionality Reduction Method for Identifying Agricultural Land Through the Classification of Satellite Remote Sensing Hyperspectral Images.

    Funded by: IRT, HSTU.

    Position: Principal Investigator (PI)

    Description: (Fiscal Year 2020-2021)


SOCIAL NETWORK

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