Formerly the Department of Industrial Electrical Power Conversion /library/oar/handle/123456789/5676 2025-11-08T13:38:52Z 2025-11-08T13:38:52Z Ghonge, Mangesh M. Liu, Haipeng Khan, Mudassir Tran, Tien Anh /library/oar/handle/123456789/140754 2025-10-31T08:57:14Z 2025-01-01T00:00:00Z

Title: Advances in emerging technologies and computing innovations Authors: Ghonge, Mangesh M.; Liu, Haipeng; Khan, Mudassir; Tran, Tien Anh Abstract: International Conference on Emerging Technologies and Computing Innovations (ICETCI 2025) covers discussions from different stakeholders, researchers, practitioners, and industries across the globe in the recent technology trends and their impact on human life. This book discusses a microcosm of the conference experience bringing together multi-disciplinary research, real-world applications, and tomorrow’s aspirations. As all papers are double-blind peer-reviewed and of high quality, the proceedings are a unique publication dealing with a variety of topics such as artificial intelligence, machine learning, blockchain, quantum computing, Internet of Things (IoT), cybersecurity, data science, edge computing, and sustainable technology solutions. No contributions reflect the leading-edge breakthroughs, imaginative practices, and influential examples that are abundantly illustrative of the reader as if the reader is viewing the technical realm through a telescope into the future, full of contexts that would change how we connect and work. With the ushering in of a new era, additional technologies will power world progress, transforming businesses, economies, and societies. ICETCI-2025 is therefore important since digitization changes are happening across the world at a rapid pace. Also, this book is a codification of this partnership, through novel thinking and transformative research that will help solve some of the biggest challenges of today’s time. The depth of the topics signals the multifaceted reality of the topic and also highlights how innovation can span those boundaries and lead to transformative change. Apart from academic rigor, there are also practical aspects and future directions discussed in the proceedings. Whether it’s exploring discussions on the role of AI in healthcare or education, or others on the emerging potential of blockchain within supply chain management, contributions here have practical lessons for researchers, practitioners, and policymakers. The volume stands as a curatorial jeopardy that connects theory and praxis to engender outcomes and yield in the global tech ecology

2025-01-01T00:00:00Z Sadiq, Muhammad Micallef, Alexander Apap, Maurice Licari, John Caruana, Cedric Su, Chun-Lien /library/oar/handle/123456789/140009 2025-10-13T09:24:21Z 2025-01-01T00:00:00Z

Title: Techno-economic evaluation of diesel and hybrid propulsion systems for tugboats at ports Authors: Sadiq, Muhammad; Micallef, Alexander; Apap, Maurice; Licari, John; Caruana, Cedric; Su, Chun-Lien Abstract: The maritime sector, while essential for global trade, is a significant source of greenhouse gas emissions, creating an urgent need for cleaner propulsion technologies. This paper compares the technical and economic performances of diesel mechanical propulsion systems and hybrid propulsion systems in tugboat operations at Maltese ports. Using measured generator load datasets, the results showed that HPS reduces the annual fuel consumption by 14% from 252 to 216 tons. This leads to a corresponding 112-tons reduction in CO₂ emissions, from 796 tons to 684 tons. Economic analysis showed that HPS achieves annual operational cost savings of €22,104, representing a 10.3% cost reduction compared to DMPS driven by reduced diesel fuel consumption and strategic use of onboard battery power, even when accounting for unsubsidized electricity costs for charging onboard battery banks. These results demonstrate that HPS is a sustainable and cost-effective alternative, supporting global decarbonization goals and compliance with local environmental standards. This paper also estimates the capital investment for hybrid adoption, discusses battery lifecycle considerations, and evaluates the broader applicability of the findings across maritime environments.

2025-01-01T00:00:00Z Sadiq, Muhammad Micallef, Alexander Apap, Maurice Licari, John Caruana, Cedric Su, Chun-Lien /library/oar/handle/123456789/140005 2025-10-13T09:11:56Z 2025-01-01T00:00:00Z

Title: Next-generation sustainable shipping : a bibliographic analysis of alternative fuels in maritime systems Authors: Sadiq, Muhammad; Micallef, Alexander; Apap, Maurice; Licari, John; Caruana, Cedric; Su, Chun-Lien Abstract: The shipping industry is responsible for nearly 3% of global greenhouse gas emissions and is facing increasing pressure to adopt low-carbon and zero-carbon technologies. This paper examines the potential of hydrogen and ammonia as alternative fuels for maritime decarbonization through a bibliographic analysis of literature spanning 2000 to 2024. This paper identifies research trends, regional contributions, and thematic clusters while critically assessing scalability, safety, and infrastructure readiness. Key insights emphasize the importance of integrating advanced technologies, such as IoT systems and predictive analytics, along with innovative policy measures to address barriers and accelerate adoption. Actionable recommendations have been proposed to foster global collaboration, develop robust infrastructure, and leverage advanced technologies to enable sustainable maritime systems.

2025-01-01T00:00:00Z Sadiq, Muhammad Micallef, Alexander Apap, Maurice Licari, John Caruana, Cedric Su, Chun-Lien Parise, Guiseppe /library/oar/handle/123456789/140000 2025-10-13T08:59:18Z 2025-01-01T00:00:00Z

Title: Emerging trends in AI and machine learning applications in maritime power systems : a bibliographic analysis of IEEE TIA Authors: Sadiq, Muhammad; Micallef, Alexander; Apap, Maurice; Licari, John; Caruana, Cedric; Su, Chun-Lien; Parise, Guiseppe Abstract: The maritime industry is a major contributor to global greenhouse gas emissions, necessitating sustainable energy solutions to meet the IMO 2050 decarbonization targets. Artificial intelligence (AI) and machine learning (ML) have emerged as enablers for optimizing fuel consumption, enhancing energy management, and advancing smart-port operations. This paper presents a bibliographic analysis of AI and ML applications in maritime power systems, focusing on IEEE Transactions on Industry Applications (TIA) publications from 1990 to 2025. Our paper identifies key themes, including fuel optimization, autonomous vessel operations, and renewable energy integration, highlighting the role of AI in advancing maritime technologies. A comparative evaluation with other leading IEEE journals such as IEEE Transactions on Sustainable Energy (TSTE), IEEE Transactions on Power Systems (TPS), and IEEE Transactions on Smart Grid (TSG), highlights TIA's unique, particularly in AI-driven maritime research. Moreover, this paper also identifies research gaps and suggests future directions that emphasize the need for detailed case studies, specific parameter settings, and simulation results to validate operational improvements.

2025-01-01T00:00:00Z