Bio
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 anomalous behavior 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, insider threat behavior in version control systems, and intrusion detection in cyber-physical systems. His research has been funded by the National Nuclear Security Administration (NNSA), DOE SC Advanced Scientific Computing Research (ASCR), ORNL Laboratory Directed Research and Development (LDRD), and Cisco Research.
Dr. Moriano has published over 25 papers on premier journals and conferences, including venues such as Expert Systems with Applications, Physical Review E (PRE), PLOS ONE, Computer Networks, Scientific Reports, Computers & Security, Journal of Statistical Mechanics: Theory and Experiments, Europhysics Letters, as well as the ACM CCS International Workshop on Managing Insider Security Threats. He has been serving as a technical reviewer for more than 15 journals and conferences and has reviewed over 30 papers.
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.
Research Interests
- Data Science
- Machine Learning
- Network Science
- Cybersecurity
- Networking
Publications and Talks
- See attached CV and Google Scholar
Awards
- MGB-SIAM Early Career (MSEC) Fellowship, Mathematically Gifted & Black (MGB) and SIAM, 2024 – 2026
- Student Mentor MVP Award Finalist. Office of Research Excellence, Oak Ridge National Laboratory, 2023
- Supplemental Performance Award (SPA). For "Exceeded expectations on project deliverables or performed above normal job duties," 2022
- 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
Education
- Ph.D. Informatics. Indiana University Bloomington
- M.S. Informatics. Indiana University Bloomington
- M.S. Electrical Engineering. Pontificia Universidad Javeriana, Colombia
- B.S. Electrical Engineering. Pontificia Universidad Javeriana, Colombia
Professional Service
Reviewer:
- IEEE Transactions on Network Science and Engineering
- Social Networks Analysis and Mining
- Journal of Information Security and Applications
- Intelligent Systems with Applications
- International Journal of Wireless Information Networks
- Computer Networks
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Recent Advances in Computer Science and Communications
- Computers & Security
- PLOS ONE
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Access
- ACM Transactions on Information and System Security (TISSEC)
Professional Affiliations
Trademarks and Patents
- Andy Berres, Haowen Xu, Jibonananda Sanyal, Pablo Moriano, Sarah Tennille, and Rajesh Paleti. ``A Topology-Aware System to Detect Traffic Accidents on Highways Through Machine Learning,'' Provisional U.S. Patent Application, Application No. 63/613,087, filed on December, 21, 2023
- Pablo Moriano and Jonathan Bryan. ``Just-In-Time Defect Prediction Using Graph-Based Machine Learning,'' Provisional U.S. Patent Application, Application No. 63/413,987, filed on October, 7, 2022
- Robert A. Bridges, Kiren E. Verma, Michael. D. Iannacone, Samuel C. Hollifield, Pablo Moriano, and Jordan Sosnowski. ``Universally Applicable Signal-Based Controller Area Network (CAN) Intrusion Detection System,'' U.S. Patent Application, Serial No. 17/725,774, filed on April, 21, 2022