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Faisal Quader, PhD

Professor of Information Science (iSchool) 

College of Engineering & Information Technology

University of Maryland College Park (UMD)

University of Maryland Baltimore County (UMBC)

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Dr. Faisal Quader has spent twenty-nine years in the field of Engineering, Computer Science and Information Science as an industry leader covering large scale product development to complex service delivery for demanding federal and commercial customers.  He holds Ph.D. in Cybersecurity & Data Science from the University of Maryland. He holds Master’s in Computer Science and Engineering from John Hopkins University and holds a Bachelor’s in Computer Science from the University of Wisconsin. He was a Merit Scholar at all his universities in academic work. His academic interests are in Cybersecurity, Data Mining, Human-computer Interaction, R&D process optimization as well as Health IT.  He actively participates in IEEE and ACM. He is recipient of a number of academic and industry awards and certified in multiple standards including Six Sigma. Faisal has numerous publications on cybersecurity and data mining. Faisal is an adjunct professor at the University of Maryland teaching Artificial Intelligence, Machine Learning, Data Science and Cybersecurity for their College of Engineering and Information Technology.

Research Interests

Data Privacy and Sociotechnical Cybersecurity

Data Science, Analytics, and Visualization

Cybersecurity

Human-Computer Interaction

Machine Learning, AI, Computational Linguistics, and Information Retrieval

Smart Cities and Connected Communities

Robotic Process Automation

Health Informatics

Cloud Computing

Contact

Publications

2024

Momtaz, M., Padela, J., Leslie, R., Quader, F. (2024). Developing Predictive Models for Smart Policing Based on Baltimore’s Crime and Product Price Correlation. WorldS4 2023. Lecture Notes in Networks and Systems, vol 812. Springer, Singapore. https://doi.org/10.1007/978-981-99-8031-4_48

2021

F. Quader and V. Janeja, "Insights into Organizational Security Readiness: Lessons Learned from Cyber-Attack Case Studies", MDPI, J. Cybersecur. Priv. 2021, 1(4), 638-659, https://doi.org/10.3390/jcp1040032

2019

F. Quader and V. Janeja, "Anomaly Detection: Under the [data] Hood in Smart Cars”, 2019 IEEE International Conference on Smart Computing (SMARTCOMP), Washington, DC, USA, 2019, pp. 126-131, doi: 10.1109/SMARTCOMP.2019.00041

2019

F. Quader, S. Hassan and S. Ahmed, “Securing NAB Gateway Data”, 2019 NAB Broadcast Engineering and Information Technology Conference Proceedings, Las Vegas, NV, 2019. Available at http://www.nabstore.com/NAB_Broadcast_Engineering_Conference_Proceedings_p/cp175.htm

2018

F. Quader, S. Hassan and S. Ahmed, “Securing NAB Gateway Data”, 2018 NAB Broadcast Engineering and Information Technology Conference Proceedings, Las Vegas, NV, 2018. Available at http://www.nabstore.com/NAB_Broadcast_Engineering_Conference_Proceedings_p/cp170.htm

2016

F. Quader, Cyber Security: It All Comes Down to the Human Factor, First Republic, March 24, 2016, Available at https://www.firstrepublic.com/articles-insights/life-money/protect-against-fraud/cyber-security-it-all-comes-down-to-the-human-factor

2015

F. Quader, V.P. Janeja, Justin Stauffer, Persistent Threat Pattern Discovery, IEEE International Conference on Intelligence and Security Informatics, 2015, Baltimore MD

2014

F. Quader, V.P. Janeja, Computational Models to Capture Human Behavior in Cybersecurity Attacks, The Third ASE International Conference on Cyber Security May 2014, Stanford, CA

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