Aakanksha Trivedi
Passionate CS Grad Student | Innovating in Networking & Scalable Systems.
Exploring Kernel Programming, XDP & eBPF to build high-performance network solutions.
View Resume

About Me
I’m Aakanksha Trivedi, a Computer Science graduate student at Purdue University Northwest, passionate about networking, kernel programming, and scalable systems.
My experience spans high-performance networking with XDP and eBPF, research in distributed systems, and real-world projects focused on security and performance optimization.
Beyond research, I enjoy solving complex problems, contributing to open-source tools, and exploring innovative solutions in system design and cybersecurity.
Experience
Teaching Assistant
Purdue University Northwest | 08/2025 – Present
Research Assistant
Purdue University | 06/2025 – 07/2025
Research Intern
Indian Institute of Technology (IIT) Indore | 05/2024 – 11/2024
Featured Projects
Kernel Pattern Matching
Implemented in-kernel pattern matching at the XDP level for detecting malicious payloads in network packets. Real-time alerts ensured low-latency security enforcement.
Tech: C, eBPF, XDP, LinuxStudent Feedback System
Built an anonymous feedback system with advanced analytics for better faculty decision-making.
Semester Feedback:Feedback Form
Basketball Player Detection
Developed a computer vision model using YOLOv8 to detect basketball players in real time.
Tech: Python, OpenCV, YOLOv8Smart Home Controller
Designed a system for controlling home appliances remotely using MVC architecture, featuring a Java Swing-based frontend for intuitive user interaction.
Tech: Java (Swing), MVCStudent Portal – IET DAVV
Developed a web-based student portal for IET DAVV, enabling streamlined access to academic resources, personalized dashboards, and real-time updates on notices and feedback.
Access the portal here:Student Portal
Hackathons & Awards
Graduate Research Award
Received a Graduate Research Award to support my ongoing work on high-performance networking using eBPF and XDP, enabling efficient network telemetry and monitoring research.
Institution: Purdue University NorthwestIEEE MASS 2025 – Paper Accepted
Research paper titled "Quantum-Enhanced Clustering for Intrusion Detection System in IoT Devices" accepted at IEEE MASS 2025, focusing on innovative clustering techniques for IoT security.
Role: Author / ResearcherSmart India Hackathon – Finalist (Twice)
Achieved finalist positions at the national-level Smart India Hackathon twice, developing innovative solutions in academic and technical domains.
Role: Team Member / Developer