Dr. Khaled Alhawiti | Parkinson’s Monitoring | Best Researcher Award

Posted on 17/11/2025 by Global Sensor Awards

Dr. Khaled Alhawiti | Parkinson’s Monitoring | Best Researcher Award

Dr. Khaled Alhawiti | Parkinson’s Monitoring | University of Tabuk | Saudi Arabia

Dr. Khaled M. Alhawiti is an accomplished Associate Professor in the Faculty of Computers and Information Technology at the University of Tabuk, recognized for his scholarly contributions in artificial intelligence, natural language processing, and Arabic language processing. He completed his Ph.D. in Computer Science from the University of Wales, Bangor University, where he focused on computational models and language technologies that support intelligent information processing. His academic path includes a Master of Science in Information Technology from the University of Technology Malaysia and a Bachelor’s degree in Computer Science from the University of Jordan, reflecting strong foundations in computing and higher education across multiple countries. Professionally, Dr. Khaled M. Alhawiti has built extensive experience in teaching, mentoring, research development, and academic leadership, actively contributing to curriculum enhancement and collaborative research initiatives within his institution and beyond. His research interests span artificial intelligence, data science, natural language processing, Arabic text modeling, speech-based systems, and intelligent educational technologies. He possesses strong research skills in machine learning, adaptive modeling, text compression techniques, rule-based systems, language preprocessing, and large-scale corpus analysis. His publications have been widely cited and indexed in Scopus and leading AI venues, demonstrating the impact of his contributions to computational linguistics and AI-driven text analysis. Dr. Khaled M. Alhawiti has collaborated on multiple international research activities, contributing to academic exchanges across Saudi Arabia, Malaysia, the United Kingdom, and Jordan, strengthening global partnerships in computer science. His awards and honors include recognition for high-impact publications, contributions to AI education research, and active participation in academic committees and professional societies. He is also associated with leading research communities such as IEEE and ACM, promoting engagement in emerging technological advancements.

Professional Profiles: ORCID | Google Scholar

Featured Publications

Alhawiti, K. M. (2014). Natural language processing and its use in education. 161 citations.
Alhawiti, K. M. (2015). Advances in artificial intelligence using speech recognition. 42 citations.
Alhawiti, K. M. (2014). Adaptive models of Arabic text. 20 citations.
Zerrouki, T., Alhawiti, K., & Balla, A. (2014). Autocorrection of Arabic common errors for large text corpus. 16 citations.
Teahan, W. J., & Alhawiti, K. M. (2015). Preprocessing for PPM: Compressing UTF-8 encoded natural language text. 13 citations.
Elfaki, A. O., Alhawiti, K. M., AlMurtadha, Y. M., Abdalla, O. A., & Elshiekh, A. A. (2014). Rule-based recommendation for supporting student learning-pathway selection. 13 citations.
Alhawiti, K. M. (2014). Adaptive Arabic text modeling using computational techniques. (Derived from thesis-related work). 20 citations.

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Posted on 14/10/202514/10/2025 by Global Sensor Awards

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Italian Welding Institute | Italy

Dr. Michelangelo Mortello is a highly accomplished researcher and materials engineer at the Istituto Italiano della Saldatura (IIS) – Ente Morale, Genoa, Italy, whose work stands at the intersection of welding technology, materials science, and sensing innovation. With a strong academic foundation culminating in a Ph.D. in Materials Engineering, Dr. Mortello has developed profound expertise in laser-based manufacturing, hybrid welding systems, hydrogen embrittlement mitigation, and subsurface sensing applications for industrial metals. His education and continuous professional engagement have equipped him with exceptional research insight into advanced joining processes, metallurgy, and additive manufacturing. Throughout his career, Dr. Mortello has accumulated an extensive body of work, publishing more than 29 scientific papers with over 800 citations and an h-index of 16, reflecting the global influence of his research contributions. His professional experience spans collaborative roles in advanced laboratories and European research initiatives, where he has contributed to the development of real-time sensing frameworks for process monitoring, structural diagnostics, and non-destructive evaluation. At IIS, he has led and contributed to numerous research projects focused on laser–arc hybrid welding, hydrogen embrittlement studies, and the structural evaluation of pipelines for repurposing energy systems. Dr. Mortello’s research interests encompass a wide spectrum of interdisciplinary domains, including additive manufacturing, laser processing, smart sensing technologies, and the integration of artificial intelligence in material diagnostics. His scientific pursuits aim to enhance the reliability, sustainability, and precision of industrial materials through predictive modeling and sensor-enabled process control. Equipped with advanced research skills such as finite element modeling (FEM), computational simulation, microstructural characterization, and corrosion testing, he consistently contributes innovative solutions to address the challenges of modern manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications

Mortello, M., & Casalino, G. (2021). Transfer mode effects on Ti6Al4V wall building in wire laser additive manufacturing. Manufacturing Letters. — Citations: 65
Casalino, G., & Mortello, M. (2021). Laser-arc combined welding of AA5754 alloy. Materials Letters. — Citations: 58
Contuzzi, N., Mortello, M., & Casalino, G. (2021). On the laser scarfing of epoxy resin matrix composite with copper reinforcement. Manufacturing Letters. — Citations: 47
Casalino, G., Leo, P., Mortello, M., Perulli, P., & Varone, A. (2017). Effects of laser offset and hybrid welding on microstructure and IMC in Fe–Al dissimilar welding. Metals. — Citations: 83
Casalino, G., Guglielmi, P., Lorusso, V. D., Mortello, M., Peyre, P., & Sorgente, D. (2017). Laser offset welding of AZ31B magnesium alloy to 316 stainless steel. Journal of Materials Processing Technology. — Citations: 112

Assoc. Prof. Dr. Livia Maglić | Environmental Monitoring Awards | Best IoT Sensing Technology Award

Posted on 11/06/2025 by Global Sensor Awards

Assoc. Prof. Dr. Livia Maglić | Environmental Monitoring Awards | Best IoT Sensing Technology Award

Assoc. Prof. Dr. Livia Maglić, Faculty of Maritime Studies of the University of Rijeka, Croatia

Dr. Livia Maglić is an Associate Professor at the Maritime Faculty, University of Rijeka, Croatia, with a Ph.D. in Transport Systems and over 15 years of academic and research experience in maritime transport technology. She has taught at undergraduate, graduate, and doctoral levels, and actively participated in national and international research projects. Her expertise spans maritime education, sustainable port development, and transport system modeling. Dr. Maglić has also led major EU-funded initiatives such as PSAMIDES and held leadership roles in academic journals and workshops. She is recognized for her strong communication, project management, and technical skills in both maritime and interdisciplinary contexts.

Professional Profile:

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best IoT Sensing Technology Award – Dr. Livia Maglić

Dr. Livia Maglić stands out as a seasoned academic and project leader whose expertise in maritime transport systems is increasingly aligned with IoT sensing technologies in the context of smart ports and sustainable maritime infrastructure. With nearly two decades of continuous involvement in university-level teaching and active participation in national and international research initiatives, Dr. Maglić’s experience reflects deep domain knowledge and technological application in real-world maritime settings.

🎓 Education

Ph.D. in Transport Systems (2016) – Maritime Transport Technology
Faculty of Maritime Studies, University of Rijeka 🛳️
Graduated Engineer of Maritime Transport (2007) – Technology and Organization of Transport
Faculty of Maritime Studies, University of Rijeka 📘

💼 Work Experience

Associate Professor (Nov 2023 – Present) 👩‍🏫
Teaching at undergraduate to doctoral levels and leading research projects at the Maritime Faculty in Rijeka.
Assistant Professor (Oct 2018 – Nov 2023)
Titular Assistant Professor (May 2017 – Oct 2018)
Postdoctoral Researcher (May 2016 – May 2017)
Assistant/Young Researcher (Feb 2009 – Feb 2016)
High School Lecturer (Feb – July 2007) 🏫
Pomorska škola Bakar

🏆 Achievements & Leadership

Project Leader of PSAMIDES (Ports Small and Medium Alliance for Sustainable Development) (2019–2022) ⚓
Work Package Leader in PANDORA project on maritime education excellence (led 20+ members) 👥
Scientific Journal Secretary – Journal of Maritime and Transportation Sciences 📑
Workshop Organizer & Leader – “Professional Practice” and “Business Idea to Marketing” workshops 🚢💡

🎖️ Awards and Honors

Leadership roles in EU-funded and institutional maritime development projects 🌍
Recognition for enhancing professional maritime education and employability skills through hands-on projects 🚀