Dr. Bader Alsharif | Deep Learning | Best Researcher Award
Doctorate at Florida Atlantic University, United States
Profiles
Early Academic Pursuits
Dr. Bader Alsharif began his academic journey with a Bachelor of Science in Computer Engineering from the College of Technology in Riyadh, Saudi Arabia, where he graduated in 2008. He further advanced his knowledge with a Master of Science in Computer Engineering from the Florida Institute of Technology in 2017. Currently, he is pursuing a Doctorate in Computer Engineering at Florida Atlantic University, with an expected graduation in May 2025. This strong academic foundation has equipped him with a profound understanding of advanced computing principles and methodologies.
Professional Endeavors
Dr. Alsharif has contributed significantly to academia and technology for over a decade. As a lecturer at the Communications and Information College in Riyadh, he led pioneering projects, including establishing Saudi Arabia’s first CISCO simulation lab. At Florida Atlantic University, he currently serves as a Teaching Assistant, mentoring students and fostering innovation through hands-on learning experiences.
Contributions and Research Focus
Dr. Alsharifโs research portfolio spans Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT). His work emphasizes integrating these technologies to enhance healthcare systems, focusing on improving patient outcomes and addressing critical challenges in digital health. With over seven peer-reviewed publications, his research is recognized for its innovation and real-world applications.
Impact and Influence
Dr. Alsharif has demonstrated an unwavering commitment to empowering individuals with special needs. He has designed and implemented curricula tailored to their unique requirements, directly impacting the academic success of over 3,000 students. His efforts to showcase their talents during Arab Deaf Week have brought international attention to inclusivity and accessibility in education.
Academic Citations and Legacy
Dr. Alsharifโs scholarly contributions have been widely cited in fields intersecting AI and Cybersecurity. His dedication to bridging the gap between research and practical applications ensures his legacy as a thought leader in technology-driven healthcare innovation.
Technical Expertise
Proficient in programming languages like C, Python, and MATLAB, Dr. Alsharif possesses advanced skills in GitHub, MS Office, and CISCO technologies. As a Certified Trainer of Trainers and CCNA1 expert, he excels in both technical implementation and knowledge transfer.
Teaching Excellence
With extensive teaching experience, Dr. Alsharif has guided over 3,000 students, including those with special needs, achieving exemplary performance ratings. His role at Florida Atlantic University involves mentoring engineering design projects and addressing technical queries, fostering a supportive learning environment.
Legacy and Future Contributions
Dr. Alsharif envisions leveraging his expertise in AI, IoT, and Cybersecurity to drive impactful innovations in healthcare. His ongoing doctoral research aims to create scalable, technology-driven solutions that revolutionize patient care and accessibility. By integrating technical excellence with a commitment to inclusivity, Dr. Alsharif is poised to make transformative contributions to the fields of education, research, and healthcare technology.
Publications
Enhancing cybersecurity in healthcare: Evaluating ensemble learning models for intrusion detection in the internet of medical things
- Authors: Theyab Alsolami, Bader Alsharif, Mohammad Ilyas
- Journal: Sensors
- Year: 2024
Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet
- Authors: Bader Alsharif, Easa Alalwany, Mohammad Ilyas
- Journal: Franklin Open
- Year: 2024
Deep learning technology to recognize american sign language alphabet
- Authors: Bader Alsharif, Ali Salem Altaher, Ahmed Altaher, Mohammad Ilyas, Easa Alalwany
- Journal: Sensors
- Year: 2023
Deep Learning Technology to Recognize American Sign Language Alphabet Using Mulit-Focus Image Fusion Technique
- Authors: Bader Alsharif, Munid Alanazi, Ali Salem Altaher, Ahmed Altaher, Mohammad Ilyas
- Year: 2023
Machine Learning Technology to Recognize American Sign Language Alphabet
- Authors: Bader Alsharif, Munid Alanazi, Mohammad Ilyas
- Year: 2023