Prof. Mahmood Abu Al shaeer
@ruc.edu.iq
Al rafidain university
Scopus Publications
- Blockchain Protocols for Data Provenance and Energy Accountability in IoT-Based Energy Networks
Leena Sameer Baddour, Faisal Ghazi Abdiwi, Shahd Munther Mahmoud, Mahmood Jawad Abu-AlShaeer, Ghanim Magbol Alwan
International Journal on Informatics Visualization, 2026
The expanding proliferation of Internet of Things (IoT) notions emerged with the assistance of modern energy systems, and it has formed an intricate impression of data provenance, transaction transparency, and energy accountability. However, centralized solutions may not be in a position to meet the volume, diversity and privacy requirements of live energy information. In this respect, we address the applicability of blockchain technology like Ethereum, Hyperledger Fabric, and IOTA to enhance the degree of data disclosure and accountability in the energy systems in IoT. The protocols were each subjected to a series of controlled simulation scenarios modeling the various transactional loads and compared to the performance metrics (transaction latency, throughput, energy consumption, consensus finality, validation rate and propagation delay). The results show that performance is controlled by the architecture of the protocols. IOTA always had low latency and low energy consumption, which is in favor of IoT environment where resources are scarce. Hyperledger Fabric has also achieved a balance among transaction throughput, fault tolerance, and modular control, whereas Ethereum sacrifices performance and limits throughput under high demand due to its energy-intensive consensus mechanism. Such results highlight that the selection of a blockchain protocol for an energy network will depend on the operational and infrastructural requirements of the deployment context. In this paper, a multifaceted framework is used to highlight the importance of protocol scalability, reliability, and energy efficiency for sustainable digital infrastructures, and to assess the performance of blockchain in the energy sector. - Human Trafficking in a Globalized World: Legal Strategies and Social Interventions
Sarah Salah Hadi, Raad Fajer Ftayh, Ali Kareem Majeed Hadi, Mahmood Jawad Abu-AlShaeer, Ghufran Waleed, et al.
Communications in Computer and Information Science, 2026 - Strategic Technological Integration and National Industrial Resilience: Assessing AI-Driven Efficiency Across Critical Sectors
Mudher Ghaeb Ali, Ammar Khadim Jasim, Sarah Aamer Riyadh Abdulrahman, Mahmood Jawad Abu-AlShaeer, Khalid Waleed Nassar Almansoori, et al.
Communications in Computer and Information Science, 2026 - Optimizing Telecommunications Network Performance through Big Data Analytics: A Comprehensive Evaluation
Iranian Journal of Information Processing and Management, 2025 - Digital Transformation in Telecommunications from Legacy Systems to Modern Architectures
Iranian Journal of Information Processing and Management, 2025 - DATA-DRIVEN DECISION-MAKING: CHALLENGES AND OPPORTUNITIES FOR TEXTILE INDUSTRY
Izvestiya Vysshikh Uchebnykh Zavedenii Seriya Teknologiya Tekstil Noi Promyshlennosti, 2025 - AI Ethics, legal regulation, and public trust in environmental health and safety
Mudher Ghaeb Ali, Ammar Khadim Jasim, Sarah Aamer Riyadh Abdulrahman, Mahmood Jawad Abu-AlShaeer, Akram Fadhel Mahdi
Environment and Social Psychology, 2025
The integration of artificial intelligence (AI) into environmental health and safety presents opportunities for efficiency, predictive capability, and improved compliance, but also raises pressing ethical, legal, and equity concerns. This study examines how regulatory clarity, ethical frameworks, and public trust shape the adoption of AI in this domain. A mixed-methods approach was employed: legal analysis of 15 international treaties and 10 judicial decisions; five transcontinental case studies; 25 expert interviews with policymakers, legal scholars, and NGO representatives; and quantitative analysis of 20 environmental health datasets. Multiple regression and structural equation modeling (SEM) validated results at p < 0.05 with 95% confidence intervals. The findings show that jurisdictions with strong regulatory frameworks achieve higher adoption rates (up to 80%) and faster compliance timelines, while fragmented systems face delays and inequities. Ethical outcomes improved significantly after AI adoption, with transparency rising by 35%, fairness by 25%, and public trust by 20%. Economic efficiency gains included 30% energy savings from smart grids and $15M annual savings through automated audits. However, equity gaps persist, with low-income regions and vulnerable populations showing only 10% improvement in access and inclusion. Policy recommendations highlight the need for governments to establish adaptive legal frameworks, NGOs to strengthen inclusivity, industry to adopt transparent standards, and international organizations to support funding in disadvantaged regions. The analysis shows that for AI to be used in environmental health in a sustainable and just way, not only needs to be technically innovative but also needs to be regulated well, carefully, and proactively, and build trust and co-create trust with. - AI-DRIVEN CONTRACT NEGOTIATIONS IN THE TEXTILE SECTOR: ETHICAL AND LEGAL CONCERNS
Izvestiya Vysshikh Uchebnykh Zavedenii Seriya Teknologiya Tekstil Noi Promyshlennosti, 2025 - From constitutional mandates to practical governance: overcoming regulatory barriers to innovative air quality solutions in urban environments
Anas Akram Mohammed, Raad Fajer Ftayh, Nada Saddam Jabr, Mahmood Jawad Abu-AlShaeer, Ghufran Waleed, et al.
Environment and Social Psychology, 2025
In fast industrializing areas, the constitutional guarantee of a clean environment has often banded together with economic and infrastructural factors, as in the case of urban air pollution, to be one of the problems of governance in the modern era. This paper considers expanded legal and regulatory concerns arising due to the development of new environmental engineering-based technologies for quantifying, and treating, urban air quality. Five atmospheric pollutants PM2. 5, PM10, NO2, CO, and O3—were monitored continuously in 10 urban stations with calibrated sensors over the course of 7200 h. The traffic and industrial sources were unequivocally identified as the dominant one, with clear inter-pollutant feedback, high spatiotemporal variability, and the presence of hot-spots, uncovered through multilevel regression, vector autoregression and sensitivity simulations. Accordingly, we determine that the current stationary boundary layer-based standards are not an adequate model for controlling the pollutant for pointier of contact specific adjustments and that dynamic resources are required to control short term exposure events and co-polluter effects. Using fine-grain spatiotemporal modeling, coupled with nested layers of legal and policy analysis, its new framework proves both how and when the constitution allows adaptation and governance, but throws light equally on when legal loopholes prevent experimentation. Two real-world applications include monitoring of legal tools in practice, dynamically setting pollutant and zoning limits, and institutional investment (to data driven governance). With a view to marrying the accuracy of engineering to the spaciousness of law, this article introduces a nimbler and juster model of urban regulation of air quality. - UNCLOS' Role and Limitations in Resolving Marine Territorial Disputes: Integrating Islamic Jurisprudence for Enhanced Effectiveness
Saleh Hussain Ali, Sami Hammadi Resen, Anas Akram Mohammed Subhi, Mahmood Jawad Abu- AlShaeer, Ivan Chornomordenko
Al Istinbath Jurnal Hukum Islam, 2024
The article critically examines the United Nations Convention on the Law of the Sea (UNCLOS) and its limitations in addressing marine territorial disputes, especially in regions where Islamic jurisprudence holds influence. Given the strategic and resource value of marine territories, international conflicts frequently arise over these areas. While UNCLOS aims to regulate and resolve such disputes, its effectiveness is hindered by geopolitical power dynamics and enforcement challenges. This research utilizes a mixed-methods approach, involving an extensive review of historical conflicts governed by UNCLOS, along with qualitative interviews with diplomats, international law experts, and Islamic legal scholars. Findings reveal that while UNCLOS establishes a formal legal framework for marine claims, its application often falls short in regions where political interests supersede legal protocols. Integrating principles of Islamic jurisprudence, particularly justice, equity, and mutual respect, can offer alternative pathways to enhance UNCLOS's efficacy in dispute resolution. The article concludes that incorporating Islamic legal principles could address UNCLOS’s shortcomings, fostering a more harmonious and cooperative maritime environment in geopolitically sensitive areas. - Advanced Bayesian Methods for Longitudinal Data Analysis in Public Health
Reem Talal Taha, Saba Sabah Ahmed, Qais Y. Hatim, Mahmood Jawad Abu-AlShaeer
Journal of Ecohumanism, 2024 - Quantitative Insights and Challenges in Big Data from a Statistical Perspective
Mohammed Nuther Ismail, Sabah M. Kallow, Mohammed Jasim Ridah, Mahmood Jawad Abu-AlShaeer, Yurii Khlaponin
Journal of Ecohumanism, 2024 - A Path to Safer Digital Systems Using Proactive Hazard Analysis in Logic Circuit Design
Conference of Open Innovation Association Fruct, 2024 - THE IMPACT OF MONEY SUPPLY ON INFLATION: AN EMPIRICAL ANALYSIS OF THE IRAQI ECONOMY
Investigacion Operacional, 2024 - A Comprehensive Online Tourism Management System Revolutionizes Travel
Conference of Open Innovation Association Fruct, 2024 - Interstellar computation their challenges and approaches in interplanetary cloud systems and data transmission
Mahmood Jawad Abu-Alshaeer, Abeer Salim Jamil, Mohammed Jabbar Hussein, Salam Omar Alo, Sarmad Waleed Taha, et al.
Edelweiss Applied Science and Technology, 2024 - Unveiling the Next Frontier: The Future of Connected Technologies
Hamza Ghazwan Khalid, Haider Hadi Abbas, Mohammed Jabbar Hussein, Mahmood Jawad Abu-AlShaeer, Sari Khdhaer Mukhlif, et al.
Conference of Open Innovation Association Fruct, 2024 - A Method for Calculating Efficiency Indicators of Information Security Systems
Conference of Open Innovation Association Fruct, 2024 - Human-AI Symbiosis: Investigating Real-Time Neural Link Integrations for Enhanced Cognitive Abilities
Nora Rashid Najem, Abdulsatar Shaker Salman, Yousif Fuad Nas, Mahmood Jawad Abu-AlShaeer, Bashar Mazin Basheer, et al.
Conference of Open Innovation Association Fruct, 2024 - Exploring User Interfaces and User Satisfaction in Augmented Reality
Salih Mahmoud Attya, Abdulsatar Shaker Salman, Doaa Mohammed Hussein Al Fawadi, Mahmood Jawad Abu-AlShaeer, Mohammed Jasim Ridah, et al.
Conference of Open Innovation Association Fruct, 2024 - Wireless Drone Charging Station Using Class-E Power Amplifier in Vertical Alignment and Lateral Misalignment Conditions
Aqeel Mahmood Jawad, Rosdiadee Nordin, Haider Mahmood Jawad, Sadik Kamel Gharghan, Asma’ Abu-Samah, et al.
Energies, 2022 - Improvement of the Methodology of Building a System of Phase Synchronization of Coherent Demodulators in Telecommunication Control Systems and Distance Learning
Haider Mahmood Jawad, Mahmood Jawad Abu-AlShaeer, Serhii Yevseiev, Valery Kornienko, Oleksandr Turovsky
Ismsit 2022 6th International Symposium on Multidisciplinary Studies and Innovative Technologies Proceedings, 2022 - Near Field WPT Charging a Smart Device Based on IoT Applications
Ceur Workshop Proceedings, 2022 - F-J Antenna Structure Compact Size with Impedance Ratio 13:1 Excited by Tapered CPW
Amer T. Abed, Aqeel M. Jawad, Haider M. Jawad, Mahmood J. Abu-Alshaeer
Proceedings of the 2021 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems Making Waves in Texas Wmcs 2021, 2021 - BUILDING AN ACCURATE ELECTRONIC STATISTICAL SYSTEM TO DIAGNOSE ABNORMAL HEARTBEATS
International Journal of Agricultural and Statistical Sciences, 2021
