👋 About Me
I am a PhD student in Electrical and Computer Engineering (ECE) at Purdue University, West Lafayette, IN. Previously, I worked for over 5 years as a Maintenance Engineer in a manufacturing facility in Pakistan, where I developed a strong interest in Machine Learning.
🔬 My Research Focus
- 🔄 Solving inverse problems using diffusion models as priors.
- 🧠 Modeling the auditory cortex in squirrel monkeys using pretrained deep learning models.
Manuscript: Deep Neural Networks Explain Spiking Activity in Auditory Cortex
🌟 Interests
- 🤖 Generative models, computer vision, and probabilistic modeling
- 🌍 Exploring applications of AI in real-world problems
💼 Opportunities
I am open to internship opportunities in generative models or machine learning in general.
Recent Updates 📢
📰 New paper on arXiv 🔥
Solving Diffusion Inverse Problems with Restart Posterior Sampling📰 New paper published in PLOS Computational Biology!
Deep Neural Networks Explain Spiking Activity in Auditory Cortex🎓 Teaching Assistantship (Fall 2025)
Serving as a TA for the graduate course ECE-60131: General Models at Purdue University.
🔬 Publications
- 📰 Deep Neural Networks Explain Spiking Activity in Auditory Cortex
Published on August 25, 2025 in PLOS Computational Biology.
DOI: 10.1371/journal.pcbi.1013334
Authors: Bilal Ahmed, Joshua D. Downer, Brian J. Malone, Joseph G. Makin
Abstract: This study demonstrates how artificial neural networks (ANNs) trained on speech audio can predict spiking activity in the auditory cortex of squirrel monkeys at fine time scales (50 ms bins), outperforming traditional spectrotemporal receptive fields and untrained networks.
Read the full article
Conferences
- COSYNE 2023 - Montreal, Canada
Poster: Understanding Auditory Cortex with Deep Neural Networks (Mar 9-12, 2023)
Blogs ✍️
How Neural Networks Learn: A Probabilistic Viewpoint
Published on December 25, 2024 on TDS (Towards Data Science).
Read on Medium.Pretraining wav2vec2 Using Hugging Face Trainer API
Published on November 2, 2024 on goPenAI.
Read on Medium.
Relevant Coursework
- Computer Vision projects summary
- Deep Learning
- Generative Models
- Computational Imaging
- Estimation Theory
Activities & Hobbies
- Reading: Investing, Economy, Business
- Sports: Cricket, Badminton
