Lecturer · Researcher · ML Engineer

Rashidul Hasan Hridoy

Lecturer, Department of Software Engineering
Daffodil International University, Bangladesh

Researcher since 2020 with publications in international journals, conferences, and book chapters. Working on machine learning and deep learning for healthcare and agriculture. Interests span Computer Vision, Natural Language Processing, Computational Biology, and Internet of Things.

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Education

B.Sc. in Computer Science & Engineering CGPA 3.93 / 4.00

Daffodil International University, Bangladesh · 148 credits toward a bachelor’s degree

Thesis: Betel Leaf Disease Recognition Using Deep Learning, supervised by Dr. Md. Tarek Habib, Former Associate Professor, Department of Computer Science and Engineering, Daffodil International University.

Publications from undergraduate thesis
I R. H. Hridoy, M. T. Habib, I. Mahmud, A. Haque, and M. A. A. Mamun, "A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology," Data in Brief, 2025, vol. 60, 111564, pp. 1 – 12.
II R. H. Hridoy, M. T. Habib, M. S. Rahman, and M. S. Uddin, "Deep Neural Networks-Based Recognition of Betel Plant Diseases by Leaf Image Classification," Evolutionary Computing and Mobile Sustainable Networks, LNDECT vol. 116, Springer, Singapore, 2022, pp. 227 – 241.
III R. H. Hridoy, M. T. Habib, I. Jabiullah, R. Rahman, and F. Ahmed, "Early Recognition of Betel Leaf Disease using Deep Learning with Depth-wise Separable Convolutions," IEEE Region 10 Symposium, Jeju, Republic of Korea, 2021, pp. 1 – 7.
Publications
Total citations
250+
h-index
9
i10-index
9

Citation counts from Google Scholar · as of June 2026

Journal Articles 3
I2025
R. H. Hridoy, M. T. Habib, I. Mahmud, A. Haque, and M. A. A. Mamun, "A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology."
Data in Brief, 2025, vol. 60, 111564, pp. 1 – 12
II2024
R. H. Hridoy, A. D. Arni, S. K. Ghosh, N. R. Chakraborty, and I. Mahmud, "Performance enhancement of machine learning algorithm for breast cancer diagnosis using hyperparameter optimization."
Int J Elec & Comp Eng, 2024, vol. 14, no. 2, pp. 2181 – 2190
III2023
R. H. Hridoy, A. D. Arni, and A. Haque, "Improved Vision-Based Diagnosis of Multi-Plant Disease Using an Ensemble of Deep Learning Methods."
Int J Elec & Comp Eng, 2023, vol. 13, no. 5, pp. 5109 – 5117
Book Chapters 7
IV2023
A. K. M. T. Alam, Z. H. Nirob, A. J. Urme, A. Rahman, R. H. Hridoy, M. T. Habib, and F. Ahmed, "A Systematic Analysis for Machine Learning Based Cow Price Prediction."
Business Intelligence, LNBIP, Springer, 2023, pp. 17 – 28
V2023
S. Biswas, M. Islam, U. Sarker, R. H. Hridoy, and M. T. Habib, "Machine Learning-Based Depression Detection."
Computer Networks and Inventive Communication Technologies, LNDECT vol. 141, Springer, 2023, pp. 809 – 821
VI2022
R. H. Hridoy, T. Yeasmin, and M. Mahfuzullah, "A Deep Multi-scale Feature Fusion Approach for Early Recognition of Jute Diseases and Pests."
Inventive Systems and Control, LNNS vol. 436, Springer, 2022, pp. 553 – 567
VII2022
R. H. Hridoy, M. T. Habib, M. S. Rahman, and M. S. Uddin, "Deep Neural Networks-Based Recognition of Betel Plant Diseases by Leaf Image Classification."
Evolutionary Computing and Mobile Sustainable Networks, LNDECT vol. 116, Springer, 2022, pp. 227 – 241
VIII2022
R. H. Hridoy and A. Rakshit, "BGCNN: A Computer Vision Approach to Recognize Yellow Mosaic Disease for Black Gram."
Computer Networks and Inventive Communication Technologies, LNDECT vol. 75, Springer, 2022, pp. 189 – 202
IX2022
P. Sarker, S. H. Islam, K. Akter, L. Rukhsara, and R. H. Hridoy, "A Deep Neural Networks-Based Food Recognition Approach for Hypertension Triggering Food."
IICPN, LNNS vol. 514, Springer, 2022, pp. 360 – 373
X2022
M. Hasan, N. Sakib, R. H. Hridoy, N. H. Ananto, S. Akhter, and M. T. Habib, "An LSTM-Based Word Prediction in Bengali."
Inventive Communication and Computational Technologies, LNNS vol. 383, Springer, 2022, pp. 931 – 944
Conference Papers 8
XI2026
R. R. Sohana, S. Ahmed, S. B. Shahid, and R. H. Hridoy, "Robust Blood Cell Detection and Counting Using Efficient Channel Attention-Integrated YOLOv10." New
IEEE WIECON-ECE, Dhaka, Bangladesh, 2026, pp. 1090 – 1095
XII2022
R. H. Hridoy, A. D. Arni, and M. A. Hassan, "Recognition of Mustard Plant Diseases Based on Improved Deep Convolutional Neural Networks."
IEEE TENSYMP, Mumbai, India, 2022, pp. 1 – 6
XIII2021
R. H. Hridoy, F. Akter, and A. Rakshit, "Computer Vision Based Skin Disorder Recognition using EfficientNet: A Transfer Learning Approach."
ICIT, Amman, Jordan, 2021, pp. 482 – 487
XIV2021
R. H. Hridoy and M. R. A. Tuli, "A Deep Ensemble Approach for Recognition of Papaya Diseases using EfficientNet Models."
ICEEICT, Dhaka, Bangladesh, 2021, pp. 1 – 6
XV2021
R. H. Hridoy, M. T. Habib, I. Jabiullah, R. Rahman, and F. Ahmed, "Early Recognition of Betel Leaf Disease using Deep Learning with Depth-wise Separable Convolutions."
IEEE TENSYMP, Jeju, Republic of Korea, 2021, pp. 1 – 7
XVI2021
R. H. Hridoy, M. Afroz, and F. Ferdowsy, "An Early Recognition Approach for Okra Plant Diseases and Pests Classification Based on Deep Convolutional Neural Networks."
ASYU, Elazig, Turkey, 2021, pp. 1 – 6
XVII2021
R. H. Hridoy, F. Akter, M. Mahfuzullah, and F. Ferdowsy, "A Computer Vision Based Food Recognition Approach for Controlling Inflammation in Psoriasis Patients."
ICIT, Amman, Jordan, 2021, pp. 543 – 548
XVIII2021
R. H. Hridoy, F. Akter, and M. Afroz, "An Efficient Computer Vision Approach for Rapid Recognition of Poisonous Plants by Classifying Leaf Images using Transfer Learning."
ICCCNT, Kharagpur, India, 2021, pp. 1 – 7
Review Activities

Peer reviewer for 10 international Elsevier journals, covering machine learning, deep learning, computer vision, and their applications in agriculture, medicine, and engineering.

Artificial Intelligence in Agriculture
Artificial Intelligence in Medicine
Computers and Electronics in Agriculture
Computers & Electrical Engineering
Computer Vision and Image Understanding
European Journal of Agronomy
International Journal of Medical Informatics
Journal of Biomedical Informatics
Journal of Network and Computer Applications
Physiological and Molecular Plant Pathology
Reviewed 20+ Elsevier journal articles using machine learning and deep learning techniques.
Awards & Honours
Certificate of Distinction in Research 2025
Awarded for scholarly publication by the Division of Research, Daffodil International University
Certificate of Distinction in Research 2024
Awarded for scholarly publication by the Division of Research, Daffodil International University
Certificate of Distinction in Research 2022
Awarded for scholarly publication by the Division of Research, Daffodil International University
Skills
Languages
PythonJavaCRPHPJavaScript
Frameworks
KerasTensorFlowPyTorchLaravelJava Swing
Tools
GitGitHubLinuxBash
Databases
MySQLMongoDB
Research
Machine LearningDeep LearningComputer VisionNatural Language ProcessingInternet of Things
Languages spoken
BengaliEnglish
Contact
Official emailhasan.swe@diu.edu.bd
Personal emailrashidulhasanhridoy@gmail.com
ORCID Scopus Web of Science IEEE Xplore Semantic Scholar GitHub Kaggle X YouTube Facebook Tic-tac-toe Resource