Dr. Rajeev Agrawal
Adjunct Specialty Professor in Computer Science
Dr. Rajeev Agrawal is a Computer Scientist in Information Technology Laboratory at Engineer Research and Development Center under the U.S. Army Corps of Engineers, Vicksburg, MS. He is the Data Science lead of the HPC Architecture for Cyber Situational Awareness (HACSAW) Project. He is also a member of HPC-based Deep Learning project team. He is the technical lead of Object Detection and Classification research done under Mobility in Complex Urban Environment (MCUE) project. He is collaborating with ERDC’s Geospatial Research Lab (GRL) researchers on Partially Embedded Network Classification and Learning (PENCL) project. Dr. Agrawal is a senior member of the IEEE, a member of the IEEE Computer Society and a senior member of ACM.
Human Computer Interaction
Software Project Management
Data Structure and Algorithm
Theory of Computation
Database Management Using SQL
Programming in C, C++, JAVA
Advanced HTML Programming
Introduction to Computing
Some of Dr. Agrawal’s previous research projects are big data visualization, probabilistic model to predict movement patterns in geospatial data, a layer-based architecture for provenance in big data, technology forecasting using the patent data, open source cloud management platforms and hypervisor technologies, predicting the risk of hereditary breast cancer, and intrusion detection system for a hypervisor-based cloud computing platform.
1. “Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks,” David Schweitzer, Rajeev Agrawal, 3rd IEEE International Workshop on Big Spatial Data (BSD 2018) in conjunction with 2018 IEEE International conference on Big Data, Dec 10-13, Seattle, USA.
2. “Multi-Class Object Detection from Aerial Images Using Mask R-CNN,” David Schweitzer, Rajeev Agrawal, 3rd IEEE International Workshop on Big Spatial Data (BSD 2018) in conjunction with 2018 IEEE International conference on Big Data, Dec 10-13, Seattle, USA.
3. “Determining Viability of Deep Learning on Cybersecurity Log Analytics,” Casey Lorenzen, Rajeev Agrawal, Workshop on Big Data for CyberSecurity (BigCyber 2018) in conjunction with 2018 IEEE International conference on Big Data, Dec 10-13, Seattle, USA.
4. “Application of Deep Learning and Geo-knowledge Bases to Scene Understanding,” Sambit Bhattacharya, Rajeev Agrawal, Neal Wagner, 10th International Conference on Management of Digital EcoSystems (MEDES ’18), September 25–28, 2018, Tokyo, Japan.
5. “Identification of Spatio-Temporal Patterns in Cyber Security for detecting the signature identity of hacker,” Balakrishna Gokaraju, Rajeev Agrawal, Daniel Adrian Doss, and Sambit Bhattacharya, IEEE SoutheastCon 2018, April 19-22, 2018, St. Petersburg, FL.
6. “Open Source Platforms and Frameworks for Artificial Intelligence and Machine Learning,” Sambit Bhattacharya, Bogdan Czejdo, Rajeev Agrawal, Erdem Erdemir, Balakrishna Gokaraju, IEEE SoutheastCon 2018, April 19-22, 2018, St. Petersburg, FL.
7. “A Statistical Comparison of Security Visualization Efficiency Compared to Manual Analysis of IDS Log Data,” David Freet, Rajeev Agrawal, IEEE SoutheastCon 2018, April 19-22, 2018, St. Petersburg, FL.