Shubh Goel

Shubh Goel

Computer Science

ETH Zurich

Biography

I am a second year MSc. CS student at ETH Zurich. Currently, I am working with the LAS group, led by Prof. Andreas Krause, on safe and guaranteed exploration by autonomous robots in environments with unknown constraints on IsaacSim simulator. Previously, I worked with the CVG group under Prof. Marc Pollefeys, where I benchmarked state-of-the-art visual encoders on robotic manipulation evaluation suites.

I obtained my bachelor’s degree from Indian Institute of Technology Delhi, where I was supervised by Prof. Seshan Srirangarajan for my bachelor’s thesis.

Interests
  • Embodied AI
  • Computer Vision
  • Deep Learning
Education
  • MSc. in Computer Science, 2024-2026

    ETH Zurich

  • B.Tech in Electrical Engineering (Minor in CS), 2020-2024

    Indian Institute of Technology Delhi

  • Higher Secondary Education, 2020

    Mount Carmel School Dwarka

Experience

 
 
 
 
 
IIT Delhi
Undergraduate Teaching Assistant
January 2024 – May 2024 New Delhi
COL100, Introduction to Computer Science
 
 
 
 
 
IIT Delhi
Undergraduate Teaching Assistant
August 2023 – November 2023 New Delhi
ELL101, Introduction to Electrical Engineering
 
 
 
 
 
JP Morgan Chase and Co.
Quantitative Researcher Intern
May 2023 – July 2023 Mumbai
IMM Back-testing Failure Analysis and Remediation
 
 
 
 
 
Implementation of Contour Tracing Algorithms on an FPGA board

Accomplishments

IIT Delhi
IIT Delhi Semester Merit Award
For being among the top 7% (among 1200+ students) in the semesters 1, 2, 4, 5 and 7
Central Board of Secondary Education
CBSE Merit Certificate (Grade 12)
Awarded in grade 12 for standing in the top 0.1% students nationally in Math, Physics, and CS subjects
Central Board of Secondary Education
CBSE Merit Certificate (Grade 10)
Awarded in grade 10 for standing in the top 0.1% students nationally in Science subject

Projects

*
Learning Agent Behavior
Implemented DAGGER and Reinforce to learn an optimal policy in Hopper-v4 and Ant-v4 environments from OpenAI Gym
Learning Agent Behavior
State Estimation Using Kalman Filter
Developed a state estimation model using Kalman Filter to track the position and velocity of a plane, incorporating noisy measurements
State Estimation Using Kalman Filter
Rollerball
A Rollerball playing AI agent
Rollerball
Medical Diagnosis
Implemented EM algorithm to learn Bayesian Network parameters
Medical Diagnosis
Sports Complex Planning
Optimized sports zone allocation using various search algorithms
Sports Complex Planning
DenoiseEEG
An End-to-End Deep Learning model to remove artifacts from raw EEG signals
DenoiseEEG

Recent Publications

(2025). MMA-Net: Multi-Modal Attention Network for 2-D Object Detection in Autonomous Driving. ICASSP 2025.

Cite DOI

(2024). A Hardware Accelerator for Contour Tracing in Real-Time Imaging. IEEE Sensors Journal.

Cite DOI