Mr. Morteza Karimian Kelishadrokhi | Artificial Intelligence | Best Researcher Award
Deep Learning Researcher at Islamic Azad University (IAU) Najafabad Branch, Iran.
Morteza Karimian Kelishadrokhi is a distinguished researcher specializing in artificial intelligence and data science, holding a master’s degree in Artificial Intelligence from Islamic Azad University (IAU), Najafabad Branch, Iran. He excels in deep learning, focusing on EEG signal analysis and time series classification. Morteza is recognized for his development of advanced neural network architectures, including memory-augmented models, to enhance the classification of brain activities. His research extends to signal processing and computer vision, where he explores novel techniques for content-based image retrieval and real-time data analysis. Morteza’s contributions significantly advance AI methodologies, impacting both academic research and practical applications across various industries. His dedication and expertise position him as a key figure in the field, bridging theoretical advancements with tangible solutions in artificial intelligence and data-driven technologies.
Education
Morteza Karimian Kelishadrokhi holds a Master of Science in Artificial Intelligence from the Islamic Azad University (IAU), Najafabad Branch, Iran, graduating in 2024. He excelled academically, achieving first place among students of the computer faculty with an outstanding GPA of 19.42 out of 20.00. His dedication and excellence were recognized by the dean, who honored him as the “Top Scientific Student.” Morteza also holds a Bachelor of Science in Computer Science from the same institution, graduating in 2021. During his undergraduate studies, he secured first place in the academic year 2019-2020 and second place in 2018-2019. Additionally, he served as a Teaching Assistant for the “Deep Learning Course” in both the Fall and Winter semesters of 2021 and 2022. Morteza’s educational journey highlights his exceptional academic performance and strong focus on artificial intelligence and deep learning.
Professional Experience
Morteza Karimian Kelishadrokhi is a Deep Learning Researcher and Senior Data Analyst at the Islamic Azad University (IAU), Najafabad Branch, Iran. He coordinates with industries and participates in workshops, such as the “Application of Deep Learning in the Industry.” Morteza has contributed to various research projects, including the development of a Security Framework for AI-Enhanced Microarchitectural Analysis and a Multi-Class EEG Brain Activity Classification system using the TD-MANN architecture. He has served as a Teaching Assistant for the “Deep Learning Course” in the Fall and Winter semesters of 2021 and 2022, where he designed course materials and assisted students with projects. Morteza’s work also extends to consultancy and industry projects, applying his expertise in AI, machine learning, and data analytics to solve real-world problems. His professional journey is marked by innovative research and practical applications in artificial intelligence.
Research Interest
Morteza Karimian Kelishadrokhi’s research interests span several cutting-edge domains within artificial intelligence and data science. He is particularly focused on deep learning, exploring its applications in time series classification and EEG signal analysis. His work aims to develop advanced neural network architectures, such as memory-augmented neural networks, to improve the classification of brain activities. Additionally, Morteza is interested in signal processing and computer vision, seeking innovative solutions for content-based image retrieval and real-time data analysis. His research contributes to the advancement of AI methodologies and their practical implementation in various scientific and industrial applications.
Award and Honors
Morteza Karimian Kelishadrokhi has received multiple accolades for his academic excellence and contributions to the field of artificial intelligence. In 2022, he was honored and awarded by the dean of the Islamic Azad University, Najafabad branch, as the “Top Scientific Student.” He secured the 1st place position in the academic years 2019-2020 and 2018-2019, and 2nd place in the academic year 2018-2019. Additionally, Morteza has served as a teaching assistant for the “Deep Learning Course” during the winter semester of 2022 and the fall semester of 2021. He also played a key role in coordinating with industries and participating as a speaker in the workshop “Application of Deep Learning in the Industry” in 2022.
Research Skills
Morteza Karimian Kelishadrokhi possesses a diverse skill set in research methodologies and advanced data analysis. His expertise includes developing and implementing deep learning models, particularly for EEG signal classification and time series analysis. He is proficient in designing neural network architectures, including memory-augmented neural networks, and applying machine learning algorithms to solve complex problems. Morteza is skilled in signal processing techniques and has experience with computer vision applications, such as content-based image retrieval. His research capabilities extend to conducting comprehensive literature reviews, data preprocessing, and statistical analysis, ensuring the integrity and reliability of his findings. Additionally, he is adept at using various programming languages and tools essential for AI research, including Python, TensorFlow, and MATLAB.