I received a Ph.D. degree in Computer Science from COMSATS University Islamabad, Pakistan, and hold an M.S. in Computer Science from the International Islamic University (IIUI), Islamabad. I’m a research scientist and AI/ML developer passionate about building intelligent systems that work effectively in the real world. With over 23 years of professional experience, I have developed and architected enterprise-grade software solutions for multinational companies in Europe and the USA, specializing in software design, architecture, and development using C++, C#, ASP.NET Core, Java, HTML, and Python.
Currently, I’m an Assistant Professor in the Faculty of Computing at the National University of Computer and Emerging Sciences (FAST), Islamabad. My research interests are in “intelligent transportation systems", "autonomous vehicles", and "large language models”. My focus areas include Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, and efficient model training and deployment, LoRA-based model fine-tuning, AgenticAI with a strong eye on fairness and scalability. I combine strong research foundations with hands-on experience in deploying models and pipelines across academic and industrial settings.
🧠 LLMs & NLP Systems
I fine-tune Large Language Models (like LLaMA) and build intelligent systems that actually understand context. From retrieval-augmented generation to semantic search, I help machines read between the lines—sometimes better than people do.
🤖 Agentic AI & Multi-Agent Systems
I design intelligent agents that can plan, collaborate, and execute complex tasks—autonomously. Using frameworks like LangGraph and LangChain, I’ve built multi-agent LLM systems that coordinate workflows and dynamically retrieve and reason over knowledge.
🤖 Motion Perception & Autonomous Vehicles
This is my research area; I have published various research articles in this area.
⚖️ Bias & Fairness in AI
I analyze how efficient training methods (like pruning or distillation) affect model behavior and fairness. My work bridges the gap between performance and ethics—because faster models shouldn't mean unfair ones.
⚡ Efficient Deep Learning
SparseGPT? Wanda? LoRA? Been there, benchmarked that. I use these tools to reduce compute while keeping models sharp and responsible.
👁️ Computer Vision
From newborn MRI segmentation to real-time traffic surveillance, I apply deep learning where precision matters. I've worked with U-Nets, YOLOv5, and domain adaptation techniques to make CV models useful in real-world, high-stakes applications.
☁️ Cloud & MLOps
Azure, AWS, Docker, CI/CD. I make sure ML models don’t just train well but run well, scale well, and behave themselves in production environments.
- Languages & Frameworks: Python, PyTorch, TensorFlow, Hugging Face, SQL, C++, C#
- DevOps & Cloud: Azure, AWS, Docker, Git
- Data Tools: Pandas, NumPy, Matplotlib, Scikit-Learn, Spark
- NLP: LLMs, LangChain, Vector Databases, N8N
- CV: CNNs, Vision Transformers, YOLOv5, U-Net
- Article (J04) A. A. Khan, B. Hussain, M. Islam, M. M. A. Dabel and A. K. Bashir, “Optimizing Content Cache with Vehicular Edge Computing: A Deep Federated Learning based Novel Predictive Study,” IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2025.3571029 Impact Factor: 10.9 (2025 JCR)
- Article (J03) B. Hussain and M. K. Afzal, “Optimizing Urban Traffic Incident Prediction with Vertical Federated Learning: A Feature Selection-based Approach”, IEEE Transactions on Network Science and Engineering, vol. 12, no. 1, pp. 145-155, Jan.-Feb. 2025, doi: 10.1109/TNSE.2024.3487268 Impact Factor: 6.7 (2024 JCR).
- Article (J02) B. Hussain, M. K. Afzal, S. Anjum, I. Rao and B-S. Kim, “A Novel Graph Convolutional Gated Recurrent Unit Framework for Network-Based Traffic Prediction”, IEEE Access, vol. 11, pp. 130102-130118, 2023, doi: 10.1109/ACCESS.2023.3333938 Impact Factor: 3.6 (2023 JCR).
- Article (J01) B. Hussain, M. K. Afzal, S. Ahmad and A. M. Mostafa, “Intelligent Traffic Flow Prediction Using Optimized GRU Model”, IEEE Access, vol. 9, pp. 100736-100746, 2021, doi: 10.1109/ACCESS.2021.3097141 Impact Factor: 3.4 (2021 JCR).
- 🌐 Website: basharathussain.github.io
- 💼 LinkedIn: linkedin.com/in/basharathussain
- 💻 GitHub: github.com/basharathussain