Anubhav Panda

Hello, I'm

Anubhav Panda

Research Assistant at Systems Research Group

01. About Me

I'm a graduate in Physics and Electronics & Communication Engineering from BITS Pilani, India. Currently, I am working at the Systems Research Group in TUM on developing a P4-based operating system for FPGA platforms.

My current research interests span across reconfigurable computing, computer systems, and embedded hardware with a life-long fascination towards space systems.

When I'm not geeking out over computers, I love exploring new places and wanting to climb every mountain that I see along the way. You'll also find me living and breathing football, from shouting at the TV "Even I could've scored that" to realising that scoring goals might actually not be that easy. I also like playing volleyball, badminton and every indoor sport that goes well with a beer.

02. Education

Technical University of Munich

SS 25/26 + WS 24/25

Undergraduate Thesis at the Systems Research Group, School of CIT

BITS Pilani

2020 - 2025

M.Sc. Physics and B.E. Electronics & Communication

All is Good

2003 - 2020

No deadlines. No emails. No existential crisis.

03. Research & Publications

μShell: A Microkernel-based FPGA Shell Architecture

A novel FPGA shell architecture that enables modular, high-performance cloud acceleration by treating accelerators as shareable hardware modules dynamically linked across virtual FPGAs.

2025-2026

FPGA-Accelerated YOLOX for Real-Time Wildfire Detection

An FPGA-accelerated real-time wildfire detection system for UAVs achieving 78.11% mAP at 195 FPS while consuming only 10.45W on the Xilinx Kria KV260.

2024-2025

AFM Analysis of Aluminum Thin Films for SPR

Atomic Force Microscopy analysis of aluminum thin films deposited via Physical Vapor Deposition for integration into an in-house built Surface Plasmon Resonance instrument.

2025

DNN Accelerator on FPGA for Object Detection

Developed a deep neural network accelerator using the YOLOX model and the PYNQ framework for real-time object detection on the Ultra96v2 FPGA platform.

2023

2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47...

Killer Queen