0009-0006-4196-342X About
Irshad Khan is currently working as an assistant professor at the Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bengaluru, India. Irshad's expertise spans diverse domains, including Computer Networks, V2X Communication, Intelligent Transportation Systems, Artificial Intelligence, Machine Learning, Neural Networks, Reinforcement Learning, and Autonomous Vehicles. His dedication to cutting-edge research is evident through the publication of journals and conference, underscoring his passion for pushing the boundaries of technological understanding and contributing to the future of computer science and intelligent transportation systems.
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Publications (10)
- Proximal policy optimization with self adaptive penalty function for vehicular resource allocation Save
- Hierarchical Meta-Reinforcement Learning for Uncertainty-Aware Resource Allocation in C-V2X Networks Save
- Information Volume Evidential Markov Decision Process Based Hierarchical Meta Reinforcement Learning for Resource Allocation in Vehicular Networks Save
- Risk-Aware Multi-Agent Advantage Actor-Critic Based Resource Allocation for C-V2X Communication in Cellular Networks Save
- Risk-aware resource allocation in C-V2X using deep reinforcement learning Save
- Dynamic Resource Reservation using Deep Reinforcement Learning: Optimizing Resource Allocation for Platoon-Based C-V2X Networks Save
- Optimizing Resource Allocation in V2X Networks with Multi-head Attention-Based Mechanism Using Transformer Networks Save
- Reinforcement learning-empowered resource allocation with multi-head attention mechanism in V2X networks Save
- Deep Reinforcement Learning with Multi Head Attention Mechanism for Resource Allocation in Platoon based C-V2X Networks Save
- Comparative Evaluation of OLSR, DSDV and AODV Routing Protocols Across Varied Propagation Loss Models in VANETs Save