CV

Education

• Ph.D. in Computer Science, Purdue University, West Lafayette, IN (In Progress)
• M.S. in Computer Science, University of California, Los Angeles, CA, December 2021
• B.S. in Computer Science, Purdue University, West Lafayette, IN, May 2020
  • Honors, Part of Dean’s Honor List, Best Sophomore Award for C.S.

Research Experience

• Research in Prof Bhargava’s Team (Jan 2025 - Present)
  • Build scalable, generalizable, and adaptive intrusion detection for dynamic UAV networks using machine learning, retrieval-augmented methods, and federated learning.
• Research in Prof Fahmy’s Team (Jan 2023 - Jan 2025)
  • Enabling network traffic classification using topological data analysis and developing a large scale network traffic generator to highlight limits in current network traffic classifiers.
• Research in NextGArchLab Team (Jan 2022 - Jan 2023)
  • Enabling multi-stream network analytics using a near-switch architecture to increase accuracy and reduce the reaction time of network telemetry systems.
• Research in Scai Team (Mar 2021 - Dec 2021)
  • Developed a GNN model to predict bug location in python Github projects using python code AST and text data from GitHub issues.
• Research in Cam2 Team (Jan 2018 - May 2020)
  • Led a Team to develop tools for automated discovery of real-time network camera data from heterogeneous web pages, camera feed health checker, image database, and a camera database API with the client.

Publications

A Real-Time Feature Indexing System on Live Video Streams

Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal and Yung-Hsiang Lu. "A Real-Time Feature Indexing System on Live Video Streams." 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC), Madrid, Spain, 2020.

Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages

Dailey, R., Chawla, A., Liu, A., Mishra, S., Zhang, L., Majors, J., Lu, Y.-H., & Thiruvathukal, G. K. "Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages." arXiv preprint arXiv:2103.12286 (2021).

Enriching Network Traffic Traces for Increasing Classification Accuracy

Sripath Mishra, Akhil Prasad, Sonia Fahmy. "Enriching Network Traffic Traces for Increasing Classification Accuracy." 2025 IEEE International Performance, Computing, and Communications Conference (IPCCC).

Teaching Experience

• Head Graduate Teaching Assistant (CS407), Purdue University (Jan 2022 - Present)
  • Help, supervise, and grade assignments and documents of students participating in an Agile environment to develop a group project.
• Graduate Teaching Assistant (CS180), Purdue University (Jan 2022 - Present, Summer semesters)
  • Guide undergraduate lab students in applying Object-Oriented Programming concepts in Java through hands-on exercises and evaluate their work.
• Graduate Grading Teaching Assistant (CS130), University of California, Los Angeles (Jan 2021 - June 2021)
  • Grade assignments including programs along with exams for software engineering course.

Skills

• Programming Languages: Python, Java, C++, JavaScript
• Machine Learning: Graph Neural Networks, Deep Learning, Federated Learning
• Networks: Network Traffic Analysis, Intrusion Detection, UAV Networks
• Tools & Frameworks: TensorFlow, PyTorch, Git, REST APIs
• Research Areas:
  • UAV Network Security
  • Network Traffic Classification
  • Graph Neural Networks
  • Computer Vision
  • Software Engineering

Awards and Honors

• Dean’s Honor List, Purdue University
• Best Sophomore Award for Computer Science, Purdue University
• Bachelor’s Degree with Honors, Purdue University

Contact

• Email: mishra60@purdue.edu
• GitHub: github.com/Sripathm2
• LinkedIn: linkedin.com/in/sripath-mishra