Mohammad Ausaf Ali Haqqani

Mohammad Ausaf Ali Haqqani

AI Research Scientist & Graduate Student

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About Me

I am an AI Research Scientist and graduate student, passionate about pushing the boundaries of artificial intelligence. My research focuses on deep learning models, graph neural networks, and multimodal AI applications in healthcare and scientific domains.

Education

2023 - 2025

Southern Methodist University

M.S. Computer Science

Southern Methodist University

GPA: 4.0/4.0

2018 - 2022

JNTU-H Hyderabad, India

B.Tech Computer Science

JNTU-H Hyderabad, India

GPA: 8.46/10.0

Experience

08/2023 – Present

Southern Methodist University

Research Assistant

Southern Methodist University - Dallas, TX

  • Developed scalable TGN with PyG for citation networks
  • Engineered multi-modal pipeline for glaucoma diagnosis
  • Built GraphRAG pipeline for NASA Earth Science

06/2021 - 08/2023

Centella Scientific

AI Engineer

Centella Scientific - Hyderabad, India

  • Architected 3D GNN for ADMET prediction
  • Developed hybrid CGAN for protein-ligand interactions
  • Implemented LangChain pipelines for data curation

Projects

Multimodal LLM for Drug Repurposing with Heterogeneous Graph Transformer

Multimodal LLM for Drug Repurposing with Heterogeneous Graph Transformer

Energy-Preserving Variational Auto-Encoding and Decoding of Atomistic Protein Structure

Energy-Preserving Variational Auto-Encoding and Decoding of Atomistic Protein Structure

Publications

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks

Accepted at the AAAI 2024 Workshop on Scientific Document Understanding

Semantic and Visual Attention-Driven Multi-LSTM Network for Automated Clinical Report Generation

Accepted at the AAAI 2024 W3PHIAI-24 Workshop on Health Intelligence

Contact Me

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