Ramesh Paudel

Ramesh Paudel


Graph Computing Lab (GraphLab)
The George Washington University
Washington, DC 20052
rpaudel42 at gwu dot edu

Ramesh Paudel is a Research Scientist at the Graph Computing Lab at George Washington University. He completed his Ph.D from the Department of Computer Science, Tennessee Tech University under Dr. William (Bill) Eberle. Ramesh’s principal research interest is in graph-representation, anomaly detection, social network analysis, and concept drift detection. His research focuses anomaly detection usually in the field of computer network, IoT devices, health care, smart homes, social networks, etc.

His research is motivated by real-world problems that can be mapped into graphs. Some of his notable works in the field of fraud/anomaly detection involve Intrusion Detection in Smart Homes IoT Network, Spam Detection in Twitter Trending Topics, Network Layer DoS Attack Detection, Anomaly Detection in Elderly Patient’s Activities in Smart Homes, and Anomalous Claim Detection in Medicare Claim File. In particular, his research focuses on designing effective and scalable algorithms for unsupervised anomaly detection on drifting graph streams. The developed methods will be applied to detect concept drift using the unsupervised approach, predict future drift, and incorporate the drift information to design an online graph-based anomaly detection algorithm for effective anomaly detection.

He received an MS degree in Computer Science in 2014, from Tennessee Tech University, Cookeville. From 2014-2016, he worked as a software developer at Bespoke House Inc. Boston, MA. In 2016, he re-joined Tennessee Tech. for Ph.D. and continued his research.

Latest News:

Research Interest:

I am primarily interested in Fraud and Anomaly detection using Graph-based approach. My current focus is mainly on:

  • Graph representation (Embedding/Sketching).
  • Change detection in streaming graph.
  • Anomaly detection in streaming graph.
  • Social Network Analysis.
  • Network Security.

My publications can be found here.


  • CSC 2700: Discrete Mathematics, Summer 2018
  • CSC 1310: Data Structures and Algorithms Lab, Fall 2016
Teaching Assistant
  • CSC 1310: Data Structures and Algorithms, Fall 2013/Spring 2014
  • CSC 1300: Introduction to Problem Solving/Computer Programming Fall 2012/Spring 2013

Work Experience:

  • Post-Doctoral Scientist, School of Engineering and Applied Sciences, The George Washington University, Washington DC, July 2020 - Present
  • Research Assistant, Data Science & Analytics Collaboratory, Tennessee Tech University, Cookeville, TN, Aug 2016 - May 2020
  • Instructor, Department of Computer Science, Tennessee Tech University, Cookeville, TN, May 2018 - Aug 2018.
  • Lab Instructor, Department of Computer Science, Tennessee Tech University, Cookeville, TN, Aug 2016 - Dec 2016.
  • Data Analyst/Web Developer, Bespoke House Inc., Boston, MA, July 2014 - Aug 2016.
  • Teaching Assistant, Department of Computer Science, Tennessee Tech University, Cookeville, TN, Aug 2012 - May 2014.
  • Software Developer, Midas Technologies Pvt. Ltd., Kathmandu, Nepal, Oct 2010 - Aug 2012.


  • PhD in Computer Science (Concentration: Machine Learning & Data Science), Tennessee Tech University, 2016 - Present.
  • MS in Computer Science (Concentration: Data Mining), Tennessee Tech University, 2012-2014.
  • Bachelors in Information Technology, Purbanchal University, Nepal, 2007-2011.

Awards, Honors, and Grants

  • Principal Investigator, Coordinated Sharing Behavior on Facebook, Research Grant by the Institute for Data, Democracy & Politics, The George Washington University, Amount: $25,000, 2021.
  • 2020 Eminence Award, The Best PhD Research Paper, by Department of Computer Science, 2020.
  • RSAC Security Scholar 2020, by RSA Security Conference, 2020.
  • Research Assistant Fellowship, by Tennessee Tech University - College of Engineering (COE) for achieving Carnegie classification, *awarded for being one of the top students from COE, 2016-Present.
  • Researcher (Cybersecurity), NSF Grant Number 1852126, under the PI/co-PI Dr. Syed Rafay Hasan and Dr. Mohamed Mahmoud, 2019.
  • Best Research Poster, An Approach for Concept Drift Detection in a Graph Stream using Discriminative Subgraph, The 14th Annual Research and Creative Inquiry Day, 2019.
  • Researcher (Cybersecurity), NSF Grant Number 1560434, under the PI/co-PI Dr. Syed Rafay Hasan and Dr. Mohamed Mahmoud, 2018.