Dotorate student at Altinbas university, Turkey
Ali Hussein Abdulwahhab is a highly motivated and detail-oriented researcher specializing in Electrical, Electronic, and Computer Engineering, with a strong focus on machine learning and deep learning technologies. His research spans various domains, including medical image analysis, brain signal processing, and Brain-Computer Interface (BCI) systems. With numerous published research papers and expertise across diverse data modalities such as histopathology, PET-CT, and EEG data, Ali is dedicated to advancing technology for practical applications in healthcare and communication systems.
Professional Profile
🎓 Education
Ali completed his Bachelor’s degree in Electrical Engineering from Mustansiriyah University in Baghdad, Iraq, from 2012 to 2016. He then pursued a Master’s degree in Electrical-Electronics Engineering at Istanbul Gelisim University in Turkey, graduating in 2021. Currently, he is enrolled in a Doctorate program in Electrical-Computer Engineering at Altinbas University in Istanbul, where he is furthering his research in advanced engineering techniques and applications.
🏢 Work Experience
With a solid background in research and practical applications, Ali has contributed significantly to projects involving deep learning techniques for medical imaging and signal processing. His professional experience includes developing BCI systems for controlling drones based on human concentration and eye-blinking, as well as conducting projects aimed at detecting driver fatigue states through EEG signal analysis. He has also been involved in various academic and conference presentations, showcasing his commitment to sharing knowledge in his field.
🧬 Skills
Ali possesses a diverse skill set that includes expertise in research methodology, scientific writing, deep learning, machine learning, image processing, and brain signal processing. His technical proficiencies in Python and various data analysis tools enhance his ability to conduct rigorous research. Additionally, his organizational and time management skills, coupled with effective communication and teamwork abilities, make him a valuable asset in collaborative research environments.
Awards and Honors 🏆
Ali has received multiple certifications and honors throughout his academic career, including a Certificate of Excellence in Reviewing from the Journal of Advances in Biology & Biotechnology and a Certificate of Excellence in Peer-Reviewing from BP International. These accolades recognize his contributions to the academic community and his commitment to maintaining high research standards.
Membership 🤝
He is an active member of various professional organizations related to electrical engineering and computer science. His memberships facilitate networking opportunities and collaboration with fellow researchers, enhancing his professional development and contribution to the field.
Teaching Experience 📚
Ali has gained teaching experience during his academic journey, where he has engaged in instructing students on topics related to electrical engineering and advanced computational techniques. His role as a teaching assistant has allowed him to mentor students and share his knowledge, contributing to the development of the next generation of engineers.
🔬 Research Focus
📚 Publication
- Title: Analysis of potential 5G transmission methods concerning Bit Error Rate
Authors: Abdulwahhab Mohammed, A., Abdulwahhab, A.H.
Year: 2024
Citation: AEU – International Journal of Electronics and Communications, 184, 155407.
- Title: Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
Authors: Abdulwahhab, A.H., Abdulaal, A.H., Thary Al-Ghrairi, A.H., Mohammed, A.A., Valizadeh, M.
Year: 2024
Citation: Chaos, Solitons and Fractals, 181, 114700.
- Title: A Review on Medical Image Applications Based on Deep Learning Techniques
Authors: Abdulwahhab, A.H., Mahmood, N.T., Mohammed, A.A., Myderrizi, I., Al-Jumaili, M.H.
Year: 2024
Citation: Journal of Image and Graphics, 12(3), pp. 215–227.
- Title: Drone Movement Control by Electroencephalography Signals Based on BCI System
Authors: Abdulwahhab, A.H., Myderrizi, I., Mahmood, M.K.
Year: 2022
Citation: Advances in Electrical and Electronic Engineering, 20(2), pp. 216–224.