Pablo Moriano

Research Scientist

Dr. Pablo Moriano is a research scientist in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. He received Ph.D. and M.S. degrees in Informatics from Indiana University Bloomington. Previously, he received M.S. and B.S. degrees in Electrical Engineering from Pontificia Universidad Javeriana in Colombia. 

Dr. Moriano's research lies at the intersection of data science, network science, and cybersecurity. In particular, he uses data-driven and computational methods to discover and understand critical security issues in large-scale networked systems. He relies on this approach to design and develop innovative solutions to address these. Applications of his research range across multiple disciplines, including, the detection of exceptional events in social media, Internet route hijacking, and insider threat behavior in version control systems. His research has been published in Computer Networks, Scientific Reports, Computers & Security, Europhysics Letters and the Journal of Statistical Mechanics: Theory and Experiments as well as the ACM CCS International Workshop on Managing Insider Security Threats. 

In the past, he interned at Cisco with the Advanced Security Group. He is a senior member of IEEE, and a member of ACM and SIAM. He has received funding from Cisco Research.

Research Interests

  • Data Science
  • Machine Learning
  • Network Science
  • Cybersecurity
  • Networking

Honors and Awards

  • Best Paper Award. Fourth ISOC NDSS International Workshop on Automative and Autonomous Vehicle Security (AutoSec), 2022.
  • IEEE Senior Member. Senior Member is the highest professional grade of IEEE for which a member may apply. It requires extensive experience, and reflects professional accomplishment and maturity. Only 10% of our more than 400,000 members have achieved this level, 2021.
  • Best Paper Award. 9th ACM CCS International Workshop on Managing Insider Security Threats (MIST), 2017.
  • Outstanding Lecturer. Department of Electrical Engineering and Computer Science, Pontificia Universidad Javeriana, 2013.


  • R. A. Bridges, K. A. Verma, M. D. Iannacone, Samuel C. Hollifield, P. Moriano, and J. Sosnowski. Universally Applicable Signal-Based Controller Area Network (CAN) Intrusion Detection System. U.S. Patent Application, Serial No. 17/725,774.

Publications and Talks

  • See attached CV.