The Research Associate, Kenji Logie, is a student in the Criminal Justice Ph.D. program at John Jay College of Criminal Justice. He has been an Adjunct Lecturer at CUNY for the last 8 years, teaching courses in statistics, programming, web design, database design, digital forensics, and system analysis and design. He has over 10 years of programming experience in many programming and scripting languages, including C++, Python, and SQL. Over the last 3 years, the RA has built several tools for research projects in the areas of darknet investigations, IP tracing, indoor-localization, and data visualization. Research Associate Logie holds a B.S./M.P.S. in Business Information Systems from Brooklyn College (CUNY), and an M.S. in Digital Forensics and Cybersecurity from John Jay College of Criminal Justice (CUNY).
Featured Work
- Keeping Pace With the Evolution of Illicit Darknet Fentanyl Markets: Using a Mixed Methods Approach to Identify Trust Signals and Develop a Vendor Trustworthiness Index
- The Bull and Millionaire Mike: A Look at Darknet and Securities Fraud
- The SECI model and darknet markets: Knowledge creation in criminal organizations and communities of practice
- Decoding hidden darknet networks: What we learned about the illicit fentanyl trade on Alphabay