Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Mr Khalifa Aliyu Ibrahim, Cranfield University, United Kingdom

Mr. Kamilu A. Ibrahim is a dedicated researcher and academic with expertise in AI-driven high-frequency power electronics. Currently pursuing a PhD at Cranfield University, he has a strong background in physics, energy, and power systems. His research focuses on sustainable energy solutions, incorporating artificial intelligence and machine learning. With numerous publications in reputable journals and conferences, Mr. Ibrahim has made significant contributions to renewable energy, hydrogen systems, and power electronics. His academic career includes roles as a lecturer and research assistant, demonstrating his passion for knowledge dissemination. Recognized for his excellence, he has received prestigious scholarships and awards.

Publication Profile

Google Scholar

Education

Mr. Kamilu A. Ibrahim is currently pursuing a PhD in AI-driven design of high-frequency power electronics at Cranfield University, where he explores innovative approaches to sustainable energy and power systems. He previously earned a Master of Science in Energy Systems and Thermal Processes from Cranfield University (2020-2021), gaining expertise in energy efficiency, renewable energy, and thermal management. Further advancing his research skills, he completed a Master’s by Research (M.Res.) in Energy and Power (2022-2023), focusing on advanced power systems and their optimization. His academic journey began with a Bachelor of Science in Physics from Kaduna State University (2013-2016), where he built a strong foundation in physical sciences and energy applications. Throughout his education, Mr. Ibrahim has demonstrated a commitment to innovation in power electronics, artificial intelligence, and sustainable energy solutions. His multidisciplinary background equips him with the technical and analytical skills essential for driving advancements in renewable energy and intelligent power systems. πŸŽ“βš‘πŸ”‹

Experience

Mr. Kamilu A. Ibrahim has a strong background in research, teaching, and project management, with a focus on power systems, renewable energy, and AI applications. Since 2022, he has been working as a Research Assistant at Cranfield University, contributing to cutting-edge studies in AI-driven high-frequency power electronics. Prior to this, he served as a Lecturer at Kaduna State University from 2021 to 2022, where he taught physics and energy-related courses while mentoring students in research projects. From 2020 to 2021, he was a Lecturer at Nuhu Bamalli Polytechnic, Zaria, where he played a key role in curriculum development and academic instruction in energy systems. Throughout his career, Mr. Ibrahim has combined his expertise in energy and artificial intelligence to drive innovation in sustainable energy solutions. His experience spans teaching, publishing research in top-tier journals, and collaborating on interdisciplinary projects, making significant contributions to the advancement of renewable energy technologies.

Awards and Honors

Mr. Kamilu A. Ibrahim has been recognized for his academic excellence and research contributions through several prestigious awards and honors. He received the Petroleum Technology Development Fund Scholarship (2021), a highly competitive award supporting outstanding researchers in energy and power systems. In 2020, he was also honored with the Merit-based Foreign Scholarship, which enabled him to pursue advanced studies in energy systems and AI-driven power electronics. In addition to these distinguished scholarships, Mr. Ibrahim has earned multiple certificates of completion from various specialized training programs, focusing on sustainable energy, artificial intelligence applications in power systems, and cutting-edge advancements in high-frequency electronics. His commitment to continuous learning and innovation has positioned him as a leader in his field, contributing significantly to research in renewable energy, hydrogen storage, and machine learning applications. These achievements underscore his dedication to academic excellence and groundbreaking contributions to the future of energy technologies.

Publication Top Notes

  • πŸ“Š Revolutionizing Power Electronics Design Through Large Language Models: Applications and Future Directions (2024)
  • 🌊 Floating Solar Wireless Power Transfer System for Electric Ships: Design and Laboratory Tests (2025)
  • πŸ”‹ Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies (2023)
  • β˜€οΈ The Effect of Solar Irradiation on Solar Cells (2019)
  • 🌑️ Cooling of Concentrated Photovoltaic Cellsβ€”A Review and the Perspective of Pulsating Flow Cooling (2023)
  • 🌱 High-Performance Green Hydrogen Generation System (2021)
  • βš—οΈ Advancing Hydrogen: A Closer Look at Implementation Factors, Current Status, and Future Potential (2023)
  • πŸ“‘ Survey and Assessment of Radiation Levels Associated with Mobile and Wireless Telecommunication Mast in Residential and Office Areas within Kaduna Metropolis (2019)
  • πŸš€ Decision Support System for Sustainable Hydrogen Production: Case Study of Saudi Arabia (2025)
  • πŸ›’οΈ Measurements of Pour Points, Flash Points, Water Contents, and Viscosity of Some Selected Automobile Oils Used as Lubricants in Nigeria (2022)

Saman Iftikhar | Cyber Security | Best Researcher Award

Saman Iftikhar | Cyber Security | Best Researcher Award

Dr Saman Iftikhar, Arab Open University, Saudi Arabia

Dr. Saman Iftikhar is an Assistant Professor at Arab Open University, Jeddah, Saudi Arabia, with a Ph.D. in Information Technology from NUST, Pakistan. He specializes in Cyber Security, Forensic Computing, Software Engineering, and Computer Science. He teaches various advanced courses, including CISCO CCNA, Software Engineering, and Algorithms. Dr. Iftikhar has published extensively in journals such as IEEE Access and the Egyptian Informatics Journal. He holds certifications in Ethical Hacking, CCNA, and Python Programming. With experience in supervising graduation projects, his research focuses on enhancing blockchain security, spam detection, and hate speech detection. πŸ–₯οΈπŸ”πŸ“šπŸ’‘

Publication Profile

Orcid

QualificationΒ 

Dr. Saman Iftikhar holds a Ph.D. in Information Technology (2014) with a 3.5/4.0 GPA from the School of Electrical Engineering and Computer Sciences (SEECS) at the National University of Science and Technology (NUST) in Islamabad, Pakistan. He also earned an MS in Information Technology (2008) with a 3.33/4.0 GPA from SEECS, NUST. Dr. Iftikhar completed his BS in Computer Science (2005) with a 3.56/4.0 GPA from the Department of Computer Science at the University of Faisalabad, Pakistan. His academic journey reflects his deep commitment to excellence in the field of Information Technology. πŸŽ“πŸ’»πŸ“š

Experience

Dr. Saman Iftikhar is an accomplished academic with teaching experience at prestigious institutions like the Arab Open University and Prince Mugrin University. Specializing in cybersecurity, forensic computing, software engineering, and computer science, he has made significant contributions to these fields. His academic leadership is evident through his role in guiding students on various projects and managing examinations. Dr. Iftikhar’s dedication to education is reflected in his continuous efforts to shape future professionals in the tech industry. πŸŒπŸ’»πŸ“šπŸ”πŸŽ“

Teaching & Mentorship

Dr. Saman Iftikhar is an expert in advanced computing technologies, teaching courses such as CISCO CCNA, Cybersecurity, Software Engineering, and Data Structures at the bachelor’s level. He is dedicated to providing his students with a strong foundation in modern computing principles. As a graduation project supervisor, Dr. Iftikhar plays a pivotal role in mentoring students, guiding them to achieve practical, real-world outcomes. His passion for education and hands-on approach ensures that his students are well-prepared for future challenges in the field of technology. πŸ‘¨β€πŸ«πŸ’»πŸ”πŸ“š

Certifications

Dr. Saman Iftikhar is a highly skilled professional in information technology, certified in Ethical Hacking, CCNA, Cybersecurity, and JavaScript. With extensive expertise across multiple IT domains, he also holds certifications in Networking and Programming, further solidifying his credibility and competence. His broad knowledge in these areas allows him to navigate complex technical challenges and stay updated with the ever-evolving technology landscape. Dr. Iftikhar’s dedication to continuous learning and his commitment to excellence make him a valuable asset in the field of IT. πŸ’»πŸ”’πŸŒπŸ“‘πŸ‘¨β€πŸ’»

Research Grants

Dr. Saman Iftikhar has successfully led and contributed to two major research projects at Arab Open University, Saudi Arabia, during 2023-2024. In Project 1, with a total funding of 45,000 SAR, Dr. Iftikhar served as the Head of the research group, guiding the team to completion. Similarly, in Project 2, with the same funding amount, he played a pivotal role as Co-Head of the research group, also achieving successful completion. His leadership and collaborative efforts have made significant contributions to the university’s research initiatives. πŸ§‘β€πŸ”¬πŸ“ŠπŸ’‘πŸ“š

Research Projects

Dr. Saman Iftikhar has contributed significantly to various fields, particularly in the intersection of machine learning, IoT, and cyber security. His work includes Malaria Blood Smear Classification using deep learning 🦠, Sentiment Analysis of customer reviews on Amazon πŸ“Š, and Optimal Pathfinding for self-driving vehicles using the Bat algorithm πŸš—. He has also developed a Supervised Feature Selection Method for detecting malicious intrusions in IoT systems πŸ›‘οΈ and explored blockchain-based secured IoT vehicular networks in edge computing 🌐. His research extends to emotion recognition from Urdu speech corpus 🎀 and cybersecurity strategies for countering cyber terrorism in Saudi Arabia πŸ”’.

Research Focus

Dr. Saman Iftikhar’s research primarily focuses on advanced computational techniques in cybersecurity, blockchain technology, and machine learning. His work explores innovative approaches to spam detection, hate speech detection, and data protection in digital platforms through hybrid models combining linguistic and behavioral features. He also delves into blockchain security, leveraging multimedia forensics and multi-party computation to safeguard supply chain data. Furthermore, his research includes enhancing Internet of Things (IoT) networks, using deep reinforcement learning for utility-driven network slicing and quality of service (QoS) optimization. His studies bridge the gap between IoT, blockchain, and cybersecurity in edge computing. πŸ”πŸ’»πŸ”—πŸ“‘

Publication Top Notes