Interested in working with me as a graduate student or as an undergraduate student? Come see me during Office Hours, or shoot me an email.
Were you one of my research students and you are missing here? Please shoot me an email! My archives got a bit corrupted and I lost some theses, but I’m more than happy to include you!
I have had the pleasure to work with the following research students.
Angel Bajracharya worked on her Honors College research project in which shexplored if quantum computing is sufficiently mature to be incorporated into undergradate computer science curricula. She has presented her work at the Northeast Regional Honors Council Conference.
Chris Benson worked on exploring the intersection of Enterprise Modeling, Cyber Threat Intelligence, and Threat Modeling to enhance the framework that Sung Kim and I presented in 2021 (see my bibliography).
Rodrigo Henriquez authored a graduate thesis in which he explores the role of malware in human trafficking. This is a topic that is not widely discussed, and his research is showing how much work still needs to be done in that field.
Ashley Peralta’s adopted an Information Systems perspective to write her undergraduate Honors College thesis. She explored security and privacy in cloud environments, and applied her finding to secondary and post-secondary education. Ashley also presented her work at the Northeast Regional Honors Council Conference.
Arfan Rasheed’s work revolved around Zero Knowledge Proofs. For his undergraduate Honors College thesis, he explored to what extent ZKPs are viable replacements for existing authentication mechanisms used in web and mobile apps.
Ann Sam is looked at potential indicators of compromise for offensive cyber operations that rely heavily on the use of artifical intelligence.
Jai Punjwani and I worked on a project in which we worked on developing an architecture for a blockchain-based system for electronic voting. After Jai completed his thesis, we continued to work on the project, which eventually was published in Ledger Journal in 2021.
Vlad Verba worked on a thesis in which he explored the Ramifications of Widespread Consumer Adoption of Personal Digital Assistants Using Speech Recognition Technologies. He put together an experiment in which he ran voice assistants like Google Home and Amazon Alexa through a range of scenarios. For each scenario, he analyzed the network traffic generated by the devices, compared it to baseline expectations, and he reviewed security practices.