Skip to content
View Waqar351's full-sized avatar

Block or report Waqar351

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Waqar351/README.md

πŸ‘‹ Waqar Hassan | PhD. | Data Scientist |Machine Learning & AI Enthusiast

Welcome to my GitHub profile! I'm Waqar Hassan, a passionate Machine Learning and Artificial Intelligence researcher with a focus on developing and applying cutting-edge algorithms to solve real-world problems. I have experience working with a wide range of AI technologies, including Graph Neural Networks (GNNs), Deep Learning, Large Language Models (LLMs), and Recurrent Neural Networks (RNNs).


πŸ”­ What I'm Working On

  • Supervised Learning: Specializing in tasks like classification and quantification to solve complex prediction problems across various domains.
  • Graph Neural Networks: Leveraging the power of GNNs to model relationships in structured data, especially for dynamic networks and temporal prediction.
  • Deep Learning: Developing deep architectures for various tasks, including image and sequence data analysis, using state-of-the-art neural network frameworks.
  • Recurrent Neural Networks (RNNs): Focusing on sequence-based models for time-series analysis, including variants like LSTMs and GRUs for better handling long-term dependencies.
  • Large Language Models (LLMs): Exploring and fine-tuning pre-trained models such as GPT and BERT for natural language processing tasks.

🌱 Current Projects

  • Crime Prediction Using GNNs: Applying Dynamic Self-Attention Networks (DySAT) to model and predict crime occurrences in urban areas, using temporal and spatial data.
  • Supervised Learning Models: Building and fine-tuning models for various classification and quantification tasks, with a focus on accuracy and robustness.
  • Text Generation with LLMs: Experimenting with large pre-trained language models to generate and classify text data for diverse applications.

πŸ‘― Looking to Collaborate

I’m open to collaborating on projects that involve:

  • Graph-based learning and dynamic networks
  • AI applications in real-world domains such as crime analysis, healthcare, and finance
  • Deep learning architectures for classification, prediction, or language models

Feel free to reach out if you're working on any exciting AI-related projects and are looking for collaboration!


πŸ“« Get in Touch

Let’s build something impactful together!


Popular repositories Loading

  1. Waqar Waqar Public

  2. MLwR MLwR Public

    Forked from dataspelunking/MLwR

    Machine Learning with R

    R

  3. 4_intelligence 4_intelligence Public

    Python

  4. Quantification_project_new_setup Quantification_project_new_setup Public

  5. mlQuantification mlQuantification Public

    This project deals with supervised learning task: Quantification whose objective is to estimate the class distribution in a test sample.

  6. Waqar351 Waqar351 Public

    Config files for my GitHub profile.