Personal information

image processing, IoT,Machine Learning,Deep Learning
China, Russia

Biography

I received my Bachelor of Science degree from Belgorod State Technological University (BSTU), Russia, and my Master of Science degree from Don State Technical University (DSTU), Russia. I furthered my academic pursuits by earning a Ph.D. degree from the Department of Computer Science and Technology at Chongqing University of Posts and Telecommunications. Currently, I am a Postdoctoral Research Fellow at the University of Electronic Science and Technology of China in Chengdu, China. My research interests include Machine Learning, Image Processing, and the Internet of Things (IoT).

Activities

Education and qualifications (1)

Chongqing University of Posts and Telecommunications: chongqing, China, CN

2019-09-18 to 2023-07 | PHD (College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
Education
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani

Works (13)

MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification

IEEE Access
2025 | Journal article
Contributors: Mehdhar S. A. M. Al-Gaashani; Reem Alkanhel; Muthana Ali Salem Ali; Mohammed Saleh Ali Muthanna; Ahmed Aziz; Ammar Muthanna
Source: check_circle
Crossref

MobileNetV2-based deep learning architecture with progressive transfer learning for accurate monkeypox detection

Applied Soft Computing
2025-01 | Journal article
Contributors: Mehdhar S.A.M. Al-Gaashani; Wenbo Xu; Efrem Yohannes Obsie
Source: check_circle
Crossref

Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections

Frontiers in Plant Science
2025-01-23 | Journal article
Part of ISSN: 1664-462X
Contributors: Asadulla Y. Ashurov; Mehdhar S. A. M. Al-Gaashani; Nagwan A. Samee; Reem Alkanhel; Ghada Atteia; Hanaa A. Abdallah; Mohammed Saleh Ali Muthanna
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani

Deep transfer learning with gravitational search algorithm for enhanced plant disease classification

Heliyon
2024 | Journal article
EID:

2-s2.0-85189662585

Part of ISSN: 24058440
Contributors: Al-Gaashani, M.S.A.M.; Samee, N.A.; Alkanhel, R.; Atteia, G.; Abdallah, H.A.; Ashurov, A.; Ali Muthanna, M.S.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease

Neural Computing and Applications
2024 | Journal article
EID:

2-s2.0-85193802611

Part of ISSN: 14333058 09410643
Contributors: Al-Gaashani, M.S.A.M.; Muthanna, A.; Chelloug, S.A.; Kumar, N.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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An Ontology-Based Approach to Reduce the Negative Impact of Code Smells in Software Development Projects

IEEE Access
2023 | Journal article
EID:

2-s2.0-85166765296

Part of ISSN: 21693536
Contributors: Castellano, I.L.; Aguilar, G.F.C.; Silega, N.; Kamal, T.; Al-Gaashani, M.S.A.M.; Samee, N.A.; Alabdulhafith, M.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection

Journal of Circuits, Systems and Computers
2023 | Journal article
EID:

2-s2.0-85142008526

Part of ISSN: 02181266
Contributors: Al-Gaashani, M.S.A.M.; Shang, F.; Abd El-Latif, A.A.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism

Life
2023 | Journal article
EID:

2-s2.0-85172175739

Part of ISSN: 20751729
Contributors: Ashurov, A.; Chelloug, S.A.; Tselykh, A.; Muthanna, M.S.A.; Muthanna, A.; Al-Gaashani, M.S.A.M.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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Using a Resnet50 with a Kernel Attention Mechanism for Rice Disease Diagnosis

Life
2023 | Journal article
EID:

2-s2.0-85163750413

Part of ISSN: 20751729
Contributors: Al-Gaashani, M.S.A.M.; Samee, N.A.; Alnashwan, R.; Khayyat, M.; Muthanna, M.S.A.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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An Efficient Deep Learning Approach for Colon Cancer Detection

Applied Sciences (Switzerland)
2022 | Journal article
EID:

2-s2.0-85137902396

Part of ISSN: 20763417
Contributors: Sakr, A.S.; Soliman, N.F.; Al-Gaashani, M.S.; Pławiak, P.; Ateya, A.A.; Hammad, M.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
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Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model

Diagnostics
2022 | Journal article
EID:

2-s2.0-85140791184

Part of ISSN: 20754418
Contributors: Samee, N.A.; Mahmoud, N.F.; Atteia, G.; Abdallah, H.A.; Alabdulhafith, M.; Al-Gaashani, M.S.A.M.; Ahmad, S.; Muthanna, M.S.A.
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani via Scopus - Elsevier
grade
Preferred source (of 4)‎

Tomato leaf disease classification by exploiting transfer learning and feature concatenation

IET Image Processing
2022-02 | Journal article
Part of ISSN: 1751-9659
Part of ISSN: 1751-9667
Source: Self-asserted source
Mehdhar S. A. M. Al-Gaashani
grade
Preferred source (of 3)‎

Intelligent System Architecture for Smart City and its Applications Based Edge Computing

2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
2020-10 | Conference paper
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Mehdhar S. A. M. Al-Gaashani
grade
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Peer review (14 reviews for 7 publications/grants)

Review activity for Applied soft computing. (4)
Review activity for Biomedical signal processing and control. (1)
Review activity for Cogent food & agriculture. (1)
Review activity for Computers & electrical engineering. (3)
Review activity for Diagnostics. (2)
Review activity for Engineering applications of artificial intelligence. (1)
Review activity for IET image processing / (2)