Mazin Mohammed
Also known as: Mazin Abed Mohamed
OAE Publishing Inc. (United States), Universiti Teknikal Malaysia Melaka, Universiti Tenaga Nasional, University of Anbar
Research areas: Computer Science · Information Systems · IoT and Edge/Fog Computing · Artificial Intelligence in Healthcare · Internet of Things and AI
About
Dr. Mazin Abed Mohammed B.Sc. Degree in Computer Science from College of Computer, University of Anbar, Iraq in 2008. Master of IT from Universiti Tenaga Nasional Malaysia 2011 and Ph.D. from Universiti Teknikal Malaysia Melaka, Malaysia in 2018 . He is currently working as a Teacher in department of Planning & Follow Up in University of Anbar, Ramadi, Iraq. where he teaches a variety of university courses in Computer Science, such as , Operating Systems, Database design, Mobile systems Programing, Software Project Management, Web technologies and Software Requirements and design. His areas of research interest include Artificial Intelligence, Medical image processing, machine learning, Computer Vision, computational intelligence, IoT, Biomedical Computing, bio-informatics, and fog Computing. He is having keen published more than 70 papers Journals and conferences.
Dr. Mohammed outstanding scientific production spans over 70+ contributions published in high standard ISI journals, such as IEEE Internet of Things Journal, Journal of Ambient Intelligence and Humanized Computing, Computers, Materials & Continua, IEEE Access, Future Generation Computer Systems, medical informatics, Computers & Electrical Engineering, Computational Science, and medical systems. He is Editor in Chief of Journal of Fusion: Practice and Applications (FPA), Associate Editor of International Journal of Smart Sensor Technologies and Applications (IJSSTA), Associate Editor of International Journal of Artificial Intelligence Research, Associate Editor of Journal of Soft Computing and Data Mining, Lead Guest editor in Computers, Materials & Continua Journal under SI: AI, IoT, Blockchain Assisted Intelligent Solutions to Medical and Healthcare Systems, Lead Guest editor in Intelligent Systems Journal under SI: Intelligent Systems and Computational Methods in Medical and Healthcare Solutions with its Challenges During Covid-19 Pandemic, Lead Guest editor in Intelligent automation and Soft Computing Journal under SI: Computational Intelligence for Internet of Medical Things and Big Data Analytics, Lead Guest Editor in Advances in Data Science and Adaptive Analysis journal under SI: Data Science for Healthcare: Challenges, Issues and Opportunities, Lead Guest Editor in Signa Vitae Journal of Anesthesia, Intensive Care, Emergency and Pain Medicine under SI: Deep Learning for Internet of Anesthesia, Intensive Care, Emergency and Pain Medicine. He is Senior Member, IEEE , and ACM since August 2020.His publications are distributed as follows: 50 papers indexed in ISI-JCR (Q1 :15, Q2 :20, Q3 :10, Q4 :5) and 21 papers indexed in Scopus. His Google Scholar Citations reached 1800+ with h-index: 28 and i10-index: 45. ORCID (ID: 0000-0001-9030-8102), Google Scholar H-index 28 of 89 papers, Scopus (ID: 57192089894) H-index 22 of 67 papers, Publons (ID: E-3910-2018) H-index 17, total citations 626 of 57 papers.
Employment
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OAE Publishing Inc. Editorial Board Member2021 - 2023
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Universiti Teknikal Malaysia Melaka Lecturer2016 - 2018
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University of Anbar Director2012 - 2016
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University of Anbar Lecturer2011 - 2016
Education
- 2016 - 2018
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Universiti Tenaga Nasional Master2009 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (196)
- DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attention Save
- Enhancing multi-omics cancer subtype classification using explainable convolutional neural networks Save
- Enhancing transparency and efficiency in blockchain harvest: Empowering farmers and consumers through transparent trading in agricultural applications Save
- Explainable convolutional neural network for Parkinson's disease detection Save
- Voice pathology identification system using a deep learning approach based on unique feature selection sets Save
- Smart Autism Spectrum Disorder Learning System Based on Remote Edge Healthcare Clinics and Internet of Medical Things Save
- A manifold intelligent decision system for fusion and benchmarking of deep waste-sorting models Save
- A robust framework for the selection of optimal COVID-19 mask based on aggregations of interval-valued multi-fuzzy hypersoft sets Save
- A systematic review of techniques and clinical evidence to adopt virtual reality in post-stroke upper limb rehabilitation Save
- BEDS: Blockchain energy efficient IoE sensors data scheduling for smart home and vehicle applications Save
- Deciphering the Complexities of COVID-19-Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework Save
- Digital healthcare framework for patients with disabilities based on deep federated learning schemes Save
- Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning Save
- FBG Sensor for Heart Rate Monitoring Using 3D Printing Technology Save
- Fundus-DeepNet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images Save
- Malware cyberattacks detection using a novel feature selection method based on a modified whale optimization algorithm Save
- Mobile-fog-cloud assisted deep reinforcement learning and blockchain-enable IoMT system for healthcare workflows Save
- Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach Save
- Renewable energy resource management using an integrated robust decision making model under entropy and similarity measures of fuzzy hypersoft set Save
- Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology Save