PNNL

Edoardo Serra is an associate professor at Boise State University and a joint appointee at Pacific Northwest National Laboratory in the Data Sciences and Machine Intelligence group. He obtained his PhD in Systems and computer engineering from the University of Calabria in Italy. Dr. Serra’s research focuses on classifying software vulnerabilities to thwart cybercriminals. In 2021, his team’s research on a new framework, V2W-BERT, was recognized with the “Best Application Paper Award” by the prestigious Institute of Electrical and Electronics Engineers International Conference on Data Science and Advanced Analytics.

• Data science with applications in precision agriculture, cybersecurity, and national security
• Machine learning
• Optimization
• Databases
• Artificial intelligence
• Social media mining
• Remote sensing image for precision agriculture
• Internet of Things (IoT) intelligent security
• Anomaly and novely detection

• PhD in Systems and Computer Engineering, University of Calabria, 2012
• MSc in Computer Engineering, University of Calabria, 2008
• BSc in Computer Engineering, University of Calabria, 2006

• Program Committee Member, 3rd International Symposium on Security and Privacy in Social Networks and Big Data (2017)
• Program Committee Member, 13th International Conference on Information Systems Security (2017)
• Program Committee Member, Institute of Electrical and Electronics Engineers/Association for Computing Machinery International Conference on Advances in Social Networks Analysis and Mining (2016-2018)
• Program Committee Member, 24th International Joint Conference on Artificial Intelligence (2015)
• Program Committee Member, 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (2014, 2018)
• Session Chair, International Conference on Scalable Uncertianity Management (2013)

2021

Xiang L., M.H. Khan, E. Serra, M. Halappanavar, and A. Sukumaran-Rajan. 2021. "cuTS: Scaling Subgraph Isomorphism on Distributed Multi-GPUSystems Using Trie Based Data Structure." In Proceedings of the International Conference for High Performance Computing, Network, Storage and Analysis (SC 2021), November 14-19, 2021, Virtual, Online, Art. No. 69. New York, New York: Association for Computing Machinery. PNNL-SA-163660. doi:10.1145/3458817.3476214

Das S. S., E. Serra, M. Halappanavar, A. Pothen, and E. Al-Shaer. 2021. “V2W-BERT: A framework for effective hierarchical multiclass classification of software vulnerabilities.” In the 8^th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021), October 6-9, 2021. Porto, Portugal. https://arxiv.org/pdf/2102.11498.pdf