Ramesh Paudel is a Data Scientis at Sysco Corporation. In the past, I worked as 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:

• Nov, 2022 : Joined Enterprise Analytics Team (EAT), Sysco Corporation as a Data Scientist.

• May, 2022 : A Paper “Coordinated link sharing on Facebook”, publised at the 72nd Annual International Communication Association Conference (ICA 2022)

• April, 2022 : A Paper, “PIKACHU: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection”, publised at the IEEE/IFIP Network Operations and Management Symposium (NOMS’22)

• May, 2021 : Accepted a Research Scientist position at Graph Computing Lab at the George Washington University

• July, 2020 : Joined Graph Computing Lab at the George Washington University as the Post-Doctoral Scientist

• July, 2020 : Paper accepted at 16th Internationl Workshop on Mining and Learning with Graph held in conjugation with KDD’20, San Diego, CA

• May 9, 2020 : Officially graduated with the Ph.D. in Computer Science from Tennessee Tech University.

• May, 2020 : Awarded 2020 Emminance Award for the “Best PhD Research Paper” by the College of Engineering - Tennessee Tech University.

• April, 2020 : Journal Paper titled “An Approach For Concept Drift Detection in a Graph Stream Using Discriminative Subgraphs” accepted at ACM Transactions on Knowledge Discovery from Data.

• April 2, 2020 : Successfully defended the Ph.D. Disseratation “Efficient Graph Knowledge Discovery on Graph Streams with Concept Drift”, Tennessee Tech University.

• Feb, 2020 : Attended RSA Security Conference, San Fransisco, CA

• Dec, 2019 : Selected as RSA Security Scholar 2020 by RSA Security Conference.

• Dec 9, 2019 : Attended the 2019 IEEE International Conference on Big Data, Los Angeles, CA and presented the research paper.

• Nov 6, 2019 : Presented a research work at the Graduate Student Seminar, Tennessee Tech University, titled “Graph-based Outlier Detection in IoT devices”.

• Nov, 2019 : Paper accepted at 2019 IEEE International Conference on Big Data Workshop on IoT Security, Los Angeles, CA

• Oct 24, 2019 : Attended the Future Technology Conference - 2019, San Fransisco, CA and presented the research paper.

• May, 2019 : Attended the The Thirty-Second International FLAIRS Conference (FLAIRS-32), Sarasota, FL and presented the research paper.

• April, 2019 : Paper accepted at the Future Technology Conference - 2019, San Fransisco, CA

• Nov, 2018 : Paper accepted at the The Thirty-Second International FLAIRS Conference, Sarasota, FL

• Sept 2018 : Successfully defended Ph.D. dissertation proposal.

• Aug 2018 : Attended the International Conference on Data Science, Las Vegas, NV, 2018 and presented the research paper.

• April, 2018 : Paper accepted at the International Conference on Data Science, Las Vegas, NV.

• Nov, 2017 : Paper accepted at The 31st International FLAIRS Conference, Melbourne, FL

• May, 2017 : Attended the The 30th International FLAIRS Conference, Marco Island, FL and presented the research paper.

• Jan, 2017 : Selected for Research Assistantship Fellowship by College of Engineering on the occasion of achieving Carnegie classification.

• Nov, 2016 : Paper accepted at The 30th International FLAIRS Conference, Marco Island, FL

• Aug, 2016: Started Ph.D.

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.

Teaching:

Instructor

• 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:

• Data Scientist, Enterprise Analytics Team (EAT), The Sysco Corporation, Houston,TX Nov 2022 - Present
• Research Scientist, School of Engineering and Applied Sciences, The George Washington University, Washington DC, May 2021 - Nov 2022
• Post-Doctoral Scientist, School of Engineering and Applied Sciences, The George Washington University, Washington DC, July 2020 - April 2021
• 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.

Education

• 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.