Student | AYBU | Turkey
Research for Best Researcher Award: Abubaker Alguttar
Strengths for the Award 🏆
Dr. Abubaker Alguttar is a distinguished candidate for the Research for Best Researcher Award due to his extensive academic and practical contributions to the field of information technology and computer science. His strengths include:
- Advanced Research Publications: Dr. Alguttar has authored several notable publications in esteemed journals, such as Applied Artificial Intelligence and IEEE Access. His work on optimizing fake news classification and deepfake audio approaches demonstrates his cutting-edge research in machine learning and artificial intelligence (Optimized Fake News Classification, 2024; Audio Deepfake Approaches, 2023).
- Leadership and Expertise: As the Head of the Information Systems Department at the University of Misurata, Dr. Alguttar has showcased remarkable leadership and management skills. His role in establishing and leading various educational and technical institutions highlights his capability in steering complex projects and initiatives.
- Innovative Research Projects: Dr. Alguttar’s involvement in projects such as the development of advanced machine learning models for text classification and misinformation detection reflects his innovation and commitment to addressing contemporary challenges in technology.
Areas for Improvement 🔍
While Dr. Alguttar’s achievements are commendable, there are areas where he could enhance his profile further:
- Broader International Collaboration: Expanding his research collaborations with international institutions could provide Dr. Alguttar with diverse perspectives and enhance the impact of his work on a global scale.
- Increased Public Engagement: Engaging more actively with the public through outreach and education can help disseminate his research findings and increase their practical applications and societal impact.
- Diversification of Research Topics: Exploring new and emerging areas within information technology and computer science could broaden his research scope and contribute to a wider range of scientific discussions.
Conclusion 🏅
Dr. Abubaker Alguttar is an exemplary candidate for the Research for Best Researcher Award due to his significant contributions to the fields of machine learning, artificial intelligence, and information technology. His leadership roles, innovative research, and notable publications underscore his qualifications for this honor. By addressing the areas for improvement, Dr. Alguttar has the potential to further enhance his impact and recognition in the global research community.
Short Bio 📝
Dr. Abubaker Abdallah Alguttar is a distinguished Libyan researcher and educator born on February 2, 1971, in Misurata, Libya. He holds advanced degrees in Technology Management and Computer Science from the University of New South Wales. With a robust career spanning academia and industry, Dr. Alguttar is renowned for his contributions to machine learning, artificial intelligence, and information systems. His leadership roles include heading the Information Systems Department at the University of Misurata and significant involvement in establishing key educational and technical institutions in Libya.
Profile
ORCID
Education 🎓
Dr. Alguttar completed his Master of Technology Management (MTM) and Master of Computer Science and Engineering (MEngSc) at the University of New South Wales, Australia, in 2004 and 2003, respectively. He earned his Bachelor of Science (B.Sc) in Computer Science from Garyounis University, Libya, in 1993.
Experience 💼
Dr. Alguttar has extensive experience in academia and industry. He has served as a Lecturer at the University of Misurata since December 2017 and previously held positions at the Higher Institute for Professional Engineering and ISRA Medical Centre in Sydney. His roles have encompassed IT management, support, and training, reflecting his broad expertise in technology and education.
Research Interests 🔬
Dr. Alguttar’s research interests focus on machine learning, artificial intelligence, and digital technology. His work includes developing advanced machine learning models, optimizing classification systems, and addressing misinformation through deep learning techniques. His research is pivotal in enhancing knowledge management systems and AI applications.
Awards 🏅
Dr. Alguttar’s achievements have been recognized through various awards, including the Libyan High Education Scholarship for postgraduate studies in 2018 and the Certificate of Excellence from Case Western Reserve University in 2014. He was also a Fulbright visiting scholar in 2014.
Publications 📚
- Alguttar A., Shaaban O., Yildirim R. (2024). Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods. Applied Artificial Intelligence. Read more.
- Shaaban O. A., Yildirim R., Alguttar A. A. (2023). Audio Deepfake Approaches. IEEE Access, 11, 132652-132682. DOI: 10.1109/ACCESS.2023.3333866.
- Alguttar A., Yildirim R. (2021). Deep Learning – GAN Techniques for Misinformation Identification, Detection and Classification. CUKUROVA 7th International Scientific Researches Conference, Adana, Turkey.
- Top A. E., Alguttar A., Abbas S., Abro Z. F., Yılmaz A. (2020). Comparison of Deep Hybrid Models and Basic Deep Models for Binary and Multi-Class Text Classification. 6th National High Performance Computing Conference, Ankara, Turkey.
- Alashik K., Hussin S., Yildirim R., Alguttar A. (2020). Dorsal Hand Vein Identification Based on Deep Convolutional Neural Networks and Visualizing Intermediate Layer Activations. ARACONF 2020, Nuh Naci Yazgan University, Kayseri, Turkey.
- Alguttar A., Hussin S., Alashik K., Yildirim R. (2020). An Observation of Intrusion Detection Techniques in Cyber Physical Systems. ARACONF 2020, Nuh Naci Yazgan University, Kayseri, Turkey.
- Connamacher H., Alguttar A. (2017). Why Does Look-ahead Work? Scientific Journal of Faculty of Education, Misurata University, Libya. DOI: 10.13140/RG.2.2.33738.72643.