Khalid Mahmood Malik, Ph.D.

Associate Professor Computer Science and Engineering Department (248) 370-3542 mahmood@oakland.edu Ph.D., Tokyo Institute of Technology, Japan

Teaching

• Information Security Practices
• Advanced Web Design and Applications
• Computer Networks
• Interactive Web Systems
• System Analysis
• Object Oriented Programming

Research

“My research interests include Trustworthy AI, Hybrid Knowledge and Machine/Deep Learning in cybersecurity and healthcare. Current research tasks include fake multimedia detection;  neurological disorders prediction, NLP,  image processing; pandemic surveillance & management using Big Data; and domain specific automated knowledge graph generation using machine learning. These research projects are funded by the National Science Foundation, Brain Aneurysm Foundation,  Michigan Translational Research and Commercialization, industry, and international funding agencies."

Selected Publications

1. Malik, Khalid Mahmood, Ali Javed, Hafiz Malik, and Aun Irtaza. "A light-weight replay detection framework for voice controlled IoT devices." IEEE Journal of Selected Topics in Signal Processing14, no. 5 (2020): 982-996.
2. Mansour, Ahmad, Khalid M. Malik, Ahmed Alkaff, and Hisham Kanaan. "ALMS: Asymmetric Lightweight Centralized Group Key Management Protocol for VANETs." IEEE Transactions on Intelligent Transportation Systems(2020).
3. Malik, Khalid Mahmood, Madan Krishnamurthy, Mazen Alobaidi, Maqbool Hussain, Fakhare Alam, and Ghaus Malik. "Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype." Expert Systems with Applications145 (2020): 113120.
4. Malik, Khalid Mahmood et al. “ISADAQ: A Framework for Intracranial Saccular Aneurysm Detection and Quantification using Morphological Analysis of Cerebral Angiograms.” IEEE Access, 2018.
5. Sabra S., Malik, Khalid Mahmood., Mazen, A., “Prediction of Venous Thromboembolism Using Semantic and Sentiment Analyses of Clinical Narratives,” Computers in Biology and Medicine, Elsevier, 2018.
6. Mazen, A., Malik, Khalid Mahmood., Hussain, M. “Automated Ontology Generation Framework Powered by Linked Biomedical Ontologies for Disease-Drug Domain,” Computer Methods and Programs in Biomedicine, Elsevier, 2018.
7. Muhammad Afzal, Fakhare Alam, Khalid Mahmood Malik, Ghaus Malik “A Clinical Context-aware Biomedical Text Summarization using Deep Neural Network: Model Development and Validation” Journal of Medical Internet Research, 2020