Khalifa Aliyu Ibrahim | Artificial Intelligence | Best Researcher Award

Mr. Khalifa Aliyu Ibrahim | Artificial Intelligence | Best Researcher Award

PhD Researcher at Cranfield University, United Kingdom

Khalifa Aliyu Ibrahim is a distinguished academic and engineering professional currently serving as a Research Assistant at Cranfield University’s Centre for Energy Engineering. He is actively pursuing a PhD focused on the AI-driven design of high-frequency power electronics, aiming to establish a robust theoretical foundation and explore cutting-edge technologies in power electronic design through artificial intelligence. His career is marked by a seamless transition from theoretical and experimental physics to engineering, underscoring his versatility and dedication to advancing energy systems, power electronics, and thermal management.

Profile

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Education

Khalifa’s academic journey is characterized by excellence and a commitment to continuous learning. He earned a Master of Science in Energy Systems and Thermal Processes with Distinction from Cranfield University, UK, in 2021. Subsequently, he completed a Master’s by Research in Energy and Power at the same institution in 2023, where he conducted significant research on concentrated photovoltaic cooling design. Prior to his postgraduate studies, Khalifa graduated as the only first-class student in his cohort with a Bachelor of Science in Physics from Kaduna State University, Nigeria, in 2016, achieving a CGPA of 4.56/5.00.

Experience

With over four years of experience in the academic sector, Khalifa has demonstrated expertise in both teaching and research. At Cranfield University, he has been instrumental in building and testing prototypes for small-scale green hydrogen plants and has supervised laboratory activities for MSc students. His previous roles include lecturing positions at Kaduna State University and Nuhu Bamalli Polytechnic in Nigeria, where he taught theoretical and experimental physics to large student cohorts. Additionally, he served as a Teaching and Laboratory Assistant at Umaru Musa Yar’adua University, contributing to both educational and administrative functions.

Research Interests

Khalifa’s research interests are deeply rooted in energy and power systems, with a particular focus on integrating artificial intelligence into power electronics design. He is also engaged in exploring sustainable hydrogen production methods, advanced cooling techniques for photovoltaic cells, and the development of scalable optical meta-surface designs for agricultural applications. His work aims to address contemporary challenges in energy efficiency and sustainability, reflecting a commitment to innovative solutions in the field.

Awards

Khalifa’s academic excellence and research contributions have been recognized through several prestigious awards. In 2021, he received the Petroleum Technology Development Fund Scholarship worth £31,000. The previous year, he was awarded a merit-based foreign scholarship by the Kaduna State Scholarship and Loan Board, Nigeria, valued at £27,000. Earlier in his academic journey, he secured a cash prize and a Certificate of Participation in the Nigeria Centenary Quiz Show in 2014, highlighting his longstanding dedication to academic and intellectual pursuits.

Publications

Khalifa has contributed to the academic community through several notable publications:

“Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies” (2023, Energies). This paper reviews RF energy harvesting technologies for wearable devices.

“Cooling of Concentrated Photovoltaic Cells—A Review and the Perspective of Pulsating Flow Cooling” (2023, Energies). This article examines cooling methods for concentrated photovoltaic cells, emphasizing pulsating flow cooling.

“High-Performance Green Hydrogen Generation System” (2021, IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications). This conference paper presents a high-performance system for green hydrogen generation.

“The Effect of Solar Irradiation on Solar Cells” (2019, Science World Journal). This study investigates how solar irradiation impacts the performance of solar cells.

“Use of Azimuthal Square-Array Direct-Current Resistivity Method to Determine Geological Fractures” (2019, Journal of the Nigerian Association of Mathematical Physics). This research utilizes resistivity methods to identify geological fractures.

“Advancing Hydrogen: A Closer Look at Implementation Factors, Current Status and Future Potential” (2023, Energies). This paper explores the current status and future potential of hydrogen implementation.

“A Scalable Optical Meta-Surface Glazing Design for Agricultural Greenhouses” (2024, Physica Scripta). This article discusses a scalable design for optical meta-surface glazing in agricultural greenhouses.

Conclusion

Khalifa Aliyu Ibrahim exemplifies a blend of academic excellence, research innovation, and practical experience. His contributions to energy systems, power electronics, and sustainable technologies reflect a commitment to addressing global energy challenges through interdisciplinary approaches. As he continues his PhD research, his work is poised to make significant impacts in the fields of artificial intelligence and power electronics, further solidifying his role as a leading figure in contemporary energy research.

Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

Dr. Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

Research Fellow | Mediterranea University of Reggio Calabria | Italy

Dr. Luigi Bibbò is a distinguished researcher and academician specializing in electronic and computer engineering. With a strong foundation in biomedical engineering, he has contributed significantly to the fields of sensors, photonics, artificial intelligence, and nanotechnology. His extensive research experience spans multiple institutions across Italy, China, and the United States, where he has worked on cutting-edge technologies for biomedical applications, environmental monitoring, and robotics. Dr. Bibbò is actively involved in research projects focusing on big data analysis, forecasting systems, and healthcare-related AI applications.

Profile

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Education

Dr. Bibbò holds a PhD in Electronic and Computer Engineering from the Second University of Naples, awarded in 2015. His doctoral research focused on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. Prior to his PhD, he obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in 2009, where he specialized in organic semiconductor-based OFET for biomedical applications. His academic journey began with a Bachelor’s degree in Biomedical Engineering from the same institution in 2006, focusing on innovative cardiac diagnostic technologies using multislice computed tomography. He later qualified as a professional engineer in 2010.

Experience

Dr. Bibbò has held various research positions at prestigious institutions. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, working on big data analysis and forecasting systems for climate change adaptation under the TECH4YOU project. From March 2023 to March 2024, he was a Research Fellow at the University of Florence, contributing to the Pharaon Project, which focuses on robotic technologies, IoT, and artificial intelligence for biomedical applications. Prior to this, he served as an Assistant Professor (RTDA) at the Mediterranean University of Reggio Calabria from 2019 to 2022, leading projects on elderly monitoring and localization systems. His international experience includes research fellowships at Shenzhen University, China (2016-2019), where he developed metasurfaces for OAM beam generation, and a visiting scientist role at Tufts University, USA (2013-2014), working on plasmonic-photonic hybrid crystal sensors.

Research Interests

Dr. Bibbò’s research interests encompass a wide range of interdisciplinary fields, including sensors, photonics, fiber optics, MEMS, metamaterials, nanotechnology, artificial intelligence, neural networks, virtual reality, and augmented reality. He has led multiple projects involving CNN-based image classification, predictive modeling using Random Forest Regressor, and AI-driven motion analysis in healthcare. His work integrates fundamental engineering principles with advanced computational techniques to develop innovative solutions for biomedical and environmental challenges.

Awards

Dr. Bibbò has been recognized for his outstanding contributions to research and technology development. He was the winner of the Technologist I° competition at the Mediterranean University of Reggio Calabria. Additionally, he has been a fellow of the Engineering Research Council (FERC) and an active member of Frontiers in Neuroscience. His research has earned him invitations to prestigious international conferences and collaborations with leading scientific journals as a guest editor and reviewer.

Publications

Dr. Bibbò has authored several influential publications in high-impact journals.

Bibbò, L., et al. (2023). “Human Activity Recognition in Healthcare: A Machine Learning Approach.” MDPI Applied Sciences. Cited by 45 articles.

Bibbò, L., et al. (2022). “Development of AI-driven Motion Analysis for Biomedical Applications.” IEEE Access. Cited by 38 articles.

Bibbò, L., et al. (2021). “Nanophotonic Metasurfaces for Orbital Angular Momentum Beam Generation.” Journal of Optics. Cited by 56 articles.

Bibbò, L., et al. (2020). “Plasmonic Nanoparticles and Tunable Dielectric Matrix for Optical Sensing.” Journal of Physics D: Applied Physics. Cited by 72 articles.

Bibbò, L., et al. (2019). “Indoor Navigation System for Dementia Patients Using Augmented Reality.” Frontiers in Neuroscience. Cited by 33 articles.

Bibbò, L., et al. (2018). “Integration of MEMS Sensors for Real-Time Tracking in Smart Environments.” Nanotechnology. Cited by 41 articles.

Bibbò, L., et al. (2017). “Plasmonic-Photonic Hybrid Crystal Sensors for Biochemical Detection.” Journal of Optical Society of America B. Cited by 60 articles.

Conclusion

Dr. Luigi Bibbò’s career is marked by a dedication to advancing electronic and computer engineering through interdisciplinary research. His contributions to biomedical applications, nanotechnology, and artificial intelligence have positioned him as a leading researcher in his field. Through his extensive publication record, international collaborations, and innovative projects, he continues to push the boundaries of technology to improve healthcare, environmental monitoring, and human-computer interaction. His ongoing work at the Mediterranean University of Reggio Calabria and other institutions highlights his commitment to cutting-edge research and knowledge dissemination in engineering and applied sciences.