Niddal Imam has a PhD degree from The University of York Department of Computer Science (Cybersecurity). His research area of interest is focusing on the intersection between security and Machine Learning and cyber attacks in social media platforms. He has been working on designing adversary-aware, ML-based detectors of Twitter spam. Methods and techniques used in his research are based on Deep Learning (e.g., OCRs), Convolutional Recurrent Neural Networks (e.g. LSTM), and Text classification techniques (e.g., NLPs). Also, he has a master’s degree in computer and network security. Also, he has several technical certificates in cybersecurity and networks