Polla Abdulhamid Fattah, PhD

Introduction

Dr. Polla Fattah is an academic with a keen interest in the realms of Artificial Intelligence (AI), Machine Learning (ML), and Data Mining. Having had the privilege to earn his PhD from the University of Nottingham, his research has touched upon the nuances of optimizing rule-based classification in temporal data. His foundational years in academia were spent at Salahaddin University-Erbil, where he was fortunate to receive his BSc in Software Engineering and later, an MSc in Information Technology. Over the years, he has been humbly acknowledged by peers and institutions, including the Ministry of Higher Education and Salahaddin University-Erbil, for his contributions to teaching and research. As a lifelong learner and educator, Dr. Fattah has had the opportunity to share knowledge on a variety of subjects at esteemed institutions. His modest foray into research, especially in areas like Kurdish handwritten character recognition and convolutional neural networks, aims to add value to the ever-evolving field of computer science.

Education

• - Ph.D. in Data Mining and Machine Learning, University of Nottingham, 2018
• - IT in Linux Server Administration, Technical University of Berlin, 2010
• - MSc in Information Technology, Salahaddin University-Erbil, 2008
• - BSc in Software Engineering, Salahaddin University-Erbil, 2004

Research

My research focuses on leveraging deep learning, machine learning, and artificial intelligence techniques to address complex problems, particularly in the fields of handwritten character recognition, optimization of classification in temporal data, and behavior modeling in social experiments. I am especially interested in developing datasets and algorithms for underrepresented languages like Kurdish, advancing web mining techniques, and improving real-world applications such as crowd evacuation modeling and sign language recognition systems. My work integrates various machine learning methodologies, including CNNs, LSTMs, and metaheuristic algorithms, to improve the accuracy and efficiency of computational systems