Mr. Mohammed Abdullah Abbas , University of Technology Department of Computer Science , Iraq.
Mr. Mohammed Abdullah Abbas is a dedicated researcher in the field of Artificial Intelligence ๐ค and Machine Learning ๐. Based in Baghdad, Iraq ๐ฎ๐ถ, he is affiliated with the University of Technologyโs Computer Science Department ๐๏ธ. He earned his B.Sc. in Computer Engineering in 2015 ๐ and his M.Sc. in Computer and Communication Engineering from IUL, Lebanon in 2020 ๐. Mohammedโs scholarly work explores innovations in credit card fraud detection ๐ณ, ECG signal analysis ๐ซ, and battery life prediction ๐. He is proficient in Arabic and English ๐ and actively contributes to academic platforms like Google Scholar, Scopus, and ResearchGate ๐.
Professional Profile
Education & Experience
๐ B.Sc. in Computer Engineering โ Al Salam University, 2015
๐ M.Sc. in Computer and Communication Engineering โ IUL, Lebanon, 2020
๐ซ Current Position: Researcher, Computer Science Department, University of Technology, Baghdad
๐ก Research Specialization: Artificial Intelligence & Machine Learning
๐ Location: Baghdad, Iraq
Summary Suitability
Mr. Mohammad A. Abbas is a compelling nominee for the Best Researcher Award, recognized for his significant contributions to the fields of Artificial Intelligence (AI) and Machine Learning (ML). As a rising researcher affiliated with the University of Technology โ Baghdad, his work has demonstrated remarkable impact, innovation, and interdisciplinary application, particularly in areas like financial fraud detection, biomedical signal analysis, and battery health prediction.
Professional Development
Mr. Mohammed A. Abbas is committed to lifelong learning and innovation in technology. He has developed and published advanced research in machine learning and signal processing ๐ง , with applications in financial security ๐ณ, health monitoring ๐ซ, and energy storage systems ๐. He continually enhances his expertise through academic publishing, peer collaboration ๐ค, and participation in scholarly platforms such as Scopus, ORCID, and ResearchGate ๐. His professional growth is anchored in practical problem-solving and theoretical advancements, bridging gaps between research and real-world applications โ๏ธ. Mohammed embraces every opportunity to contribute to the AI and data science communities globally ๐.
Research Focus
Mohammedโs research centers on Artificial Intelligence ๐ค and Machine Learning ๐, targeting impactful real-world applications. His projects range from fraud detection in financial systems ๐ฐ to improving ECG signal analysis for healthcare innovation โค๏ธ, and predicting battery performance for sustainable energy solutions ๐. By leveraging deep learning, signal processing, and support vector machines, he aims to solve pressing problems in data-intensive environments ๐ง . His interdisciplinary focus contributes to smarter, data-driven systems across sectors like finance, healthcare, and renewable energy ๐ฑ. With a forward-looking mindset, Mohammed is advancing the future of AI through meaningful and ethical research ๐.
Awards and Honorsย
๐
Long-term Service โ Serving at the University of Technology โ Iraq, Baghdad since June 1987 in the field of Computer Science ๐ฅ๏ธ
๐๏ธ Academic Position of Distinction โ Recognized with an invited position in Computer Engineering at the University of Technology, Department of Computer Science ๐ง
๐ Scholarly Contributions โ Published multiple peer-reviewed articles in reputable journals including Springer, Elsevier, and IEEE-indexed platforms ๐
๐ Active Contributor to Research Networks โ Verified academic profiles on Google Scholar, Scopus, ORCID, and ResearchGate ๐
๐ Recognition by Academic Community โ Trusted and cited by international researchers for contributions in Artificial Intelligence, Machine Learning, and Signal Processing ๐
Publication Top Notes
๐ 1. Identifying Oil Spill Areas and Causes Using a Deep Learning Model
-
Type: Conference Paper
-
Conference Series: Communications in Computer and Information Science (CCIS)
-
Year: 2024
-
DOI: 10.1007/978-3-031-87076-7_2
-
ISBNs: 978-3-031-87075-0 (Print), 978-3-031-87076-7 (Online)
-
ISSNs: 1865-0929 (Print), 1865-0937 (Electronic)
-
Contributors: Mohammad A. Abbas, Bilal A. Ghazal, Kadhim H. Gitr
๐ซ 2. Improving Automated Labeling with Deep Learning and Signal Segmentation for Accurate ECG Signal Analysis
-
Type: Journal Article
-
Journal: Service Oriented Computing and Applications (Springer)
-
Year: 2024
-
DOI: 10.1007/s11761-024-00436-5
-
EID: 2-s2.0-85208991354
-
ISSNs: 1863-2394 (Print), 1863-2386 (Online)
-
Contributors: Hussein, O.; Jameel, S.M.; Altmemi, J.M.; Abbas, M.A.; Uฤurenver, A.; Alkubaisi, Y.M.; Sabry, A.H.
๐ 3. Predicting Batteries’ Second-Life State-of-Health with First-Life Data and On-Board Voltage Measurements Using Support Vector Regression
-
Type: Journal Article
-
Journal: Journal of Energy Storage (Elsevier)
-
Year: 2024
-
DOI: 10.1016/j.est.2024.114554
-
EID: 2-s2.0-85209142364
-
ISSN: 2352-152X
-
Contributors: Jameel, S.M.; Altmemi, J.M.; Oglah, A.A.; Abbas, M.A.; Sabry, A.H.
Conclusion
Mr. Mohammad Abdullah Abbas exemplifies the qualities of an outstanding researcher with his commitment to advancing AI applications across multiple domains. His innovative approach, consistent research output, and focus on impactful, real-world problems make him a highly suitable candidate for the Best Researcher Award. His ongoing dedication to research excellence promises continued contributions to both academia and industry.