Data Science

ARC performs extensive research in the area of Data Science to provide analytical solutions in the area of nuclear and cybersecurity to federal / state governments and national labs. Current research is focused on Machine Learning, Data Analytics and Visualization

Research Areas and Capabilities

Machine Learning

Machine learning is a part of artificial intelligence focused on the development of models that can learn patterns from data, and make useful predictions based on them. Model development and prediction heavily relies on mathematical statistical analysis and optimization methods. ARC has extensive experience in SQL Server, R Server, Azure – cloud based and open source machine learning technologies.

Data Analytics

Data analytics research is focused on qualitative and quantitative techniques and processes. Data is extracted and categorized to identify and analyze behavioral data, patterns and techniques based on research objectives. Extensive experience in Microsoft platform for data storage, aggregation and analysis using SQL server, Integration server, Analysis server.


Visualization provides the dashboard, mobile / web interfaces on Microsoft platform, reports using SQL Server Reporting Services to display the prediction results, graphs and charts based on the machine learning modes, test cases and various aggregated data.


img_5507ARC has secured state of art IT infrastructure to support systems developed for various clients like DOE-EM and TRMC-DOD. These systems are housed in the Cyberspace Lab and DOE-EM facility.

Cyberspace Lab:

ARC has set up a cyberspace lab to support DOD’s TRMC STEM support in the areas of cyberspace and information assurance (IA) test technology development. The Cyberspace Lab will be used for following activities.

  • Design and development of a cyber test bed.
  • Establish TRMC node by connecting to Joint Mission Environment Test Capability (JMETC) and NST Technology Integration Environment (TIE) laboratory
  • Identify and assess technologies for testing and evaluation (T&E) of cyber ranges (eg: Emulab used in National Cyber Range (NCR))


Dr. Himanshu Upadhyay
Program Manager (IT)
Applied Research Center at
Florida International University

10555 W. Flagler Street
Suite 2100
Miami, FL 33174
Tel: 305-348-6603
Fax: 305-348-2309

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