Dr. David MohaisenBased in Orlando, FL, United States
David Mohaisen earned his M.Sc. and Ph.D. degrees in Computer Science from the University of Minnesota. He is currently an Associate Professor at the University of Central Florida, where he directs the Security and Analytics Lab (SEAL). Before joining UCF, he held several posts, in academia and industry; as an Assistant Professor at the University at Buffalo, (Senior) Research Scientist at Verisign Labs, and a Member of the Engineering Staff at the Electronics and Telecommunication Research Institute (ETRI), and a Visiting Research and Faculty Fellow at the United States Air Force Research Laboratory, among others. His research interests fall in the broad areas of networked systems and their security, adversarial machine learning, IoT security, AI security, and blockchain security, and his work has been published in more than 150 research papers that appeared in various peer-reviewed, leading ACM and IEEE conferences and journals. He is a senior member of ACM (2018) and IEEE (2015).
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How Secure are Blockchain Systems?
Blockchains are promising many applications in distributed computing systems, ranging from supply chain to critical infrastructure (e.g., cyber-physical systems). For foundations-driven guarantees...
Malware Analysis and Classification Using Machine Learning
Malicious software (or malware) is a vehicle for adversaries to launch various types of attacks, and there has been a constant steam of malware samples in the wild over the past few years. Per one...
Towards Taming Adversarial Machine Learning: Security Applications Perspectives
The recent rapid advances in machine and deep learning algorithms have found many applications in the security space, targeting various applications including intrusion detection systems, malware...
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