Dr. Basharat Hussain
Every eligibility judgement is made against this profile.
- Doctorate
- Computer Science (Artificial Intelligence) — COMSATS University Islamabad, 2025
- Thesis
- Traffic Flow Prediction using Deep Neural Networks: A Cluster-based Federated Learning Approach
- Current
- Assistant Professor, FAST-NUCES, Islamabad
- Eligible fields
- Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Electrical Engineering, Data Science, Informatics, Computing, Software Engineering
- Target positions
- Postdoctoral Researcher, Postdoctoral Fellow, Postdoctoral Scholar, Postdoctoral Associate, Research Fellow
- Geography
- USA
- Experience
- 25 years
Research interests
Agentic AI · AI Agents · Multi-Agent Systems · Multi-Agent Learning · Large Language Models · LLM Agents · Generative AI · Foundation Models · Autonomous AI · AI Planning · Reasoning Agents · Tool-Using Agents · Collaborative AI Agents · Intelligent Agents · Deep Learning · Computer Vision · Edge AI · Cloud Computing · Intelligent Transportation Systems · Federated Learning
Skills
Python · PyTorch · TensorFlow · Transformers · Hugging Face · LLMs · Generative AI · RAG · Deep Learning · Machine Learning · Computer Vision · Multi-Agent Systems · LangGraph · Cloud Computing · Distributed Systems · Federated Learning · FastAPI · PostgreSQL · Docker
Publications
| Venue | Year | IF | Topic |
|---|---|---|---|
| IEEE Transactions on Consumer Electronics | 2025 | 10.9 | Deep federated learning, vehicular edge computing, predictive caching |
| IEEE Transactions on Network Science and Engineering | 2025 | 6.7 | Vertical federated learning, urban traffic incident prediction |
| IEEE Access | 2023 | 3.6 | Graph convolutional GRU, network-based traffic prediction |
| IET Image Processing | 2025 | 2.3 | Pose and illumination invariant face recognition |
| Book chapter — Digital Twins for Smart Transportation | — | — | Pedestrian digital twins |