aafaqcsGCET KASHMIRDEPARTMENT OF CSE
Dr. Aafaq Mohi Ud Din
Preparing for GATE DA 2027? The full Machine Learning series is free on YouTube, built on real data.

I am an Assistant Professor in the Department of Computer Science & Engineering at GCET Kashmir.

My research is in machine learning on graphs: geometric deep learning, graph learning, reliability. My PhD at NIT Srinagar studied why deep graph neural networks lose information as they grow (over-smoothing and over-squashing) and how to build networks that don't. I also make free visual lectures for GATE and engineering students, where every graph is computed from real data and every answer is checked.

7×GATE qualified (CS & IT)
5×UGC-NET qualified
Rank 1JKPSC Assistant Professor
75citations on Google Scholar

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Latest publications

Deep Learning Meets Graph Theory: A Novel Approach to Generating Embeddings for Recommender Systems21st Learning and Technology Conference (L&T), IEEE, 302–3072024
Limits of depth: Over-smoothing and over-squashing in GNNsBig Data Mining and Analytics 7(1), 205–2162023IF 13.6cited by 55
A review of challenges and solutions in the design and implementation of deep graph neural networksInternational Journal of Computers and Applications 45(3), 221–2302023IF 3.6cited by 13

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