Adapt-VRPD: Vehicle Routing Problem With Drones Under Dynamically Changing Traffic Conditions (Accepted)
Author: Navid Mohammad Imran, Myounggyu Won
Venue: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2025
Author: Navid Mohammad Imran, Myounggyu Won
Venue: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2024
Author: Jibran Ali Abbasi, Navid Mohammad Imran, Lokesh Chandra Das and Myounggyu Won
Venue: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2023
Author: Navid Mohammad Imran, Sabya Mishra, Myounggyu Won
Venue: IEEE Transactions on Intelligent Transportation Systems
Year: 2023
Author: Navid Mohammad Imran, Myounggyu Won
Venue: IEEE Transactions on Intelligent Transportation Systems
Year: 2021
Author: Shiekh Ziauddin, Emroz Khan, Navid Mohammad Imran
Venue: 7th International Conference on Electrical and Computer Engineering
Year: 2012
Qualia: A Hybrid CNN-ViT Approach for Quantitatively Decoding & Modeling of Pet Sentiments from Visual Data
Author: Aamod Poudel, Navid Mohammad Imran
Addressing Data Imbalance in Healthcare Datasets Using Generative AI
Author: Navid Mohammad Imran
Generative AI for Demand Prediction and Inventory Management in Last Mile Delivery
Author: Navid Mohammad Imran
IEEE Transactions on Intelligent Transportation Systems (T-ITS)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Intelligent Robots and Systems (IROS)
International Joint Conference on Neural Networks (IJCNN)
IEEE Consumer Communications and Networking Conference (CCNC)
IEEE Congress on Evolutionary Computation (CEC)
IEEE Symposium Series on Computational Intelligence (SSCI)
I am focused on applying advanced deep learning techniques, particularly Generative AI and Reinforcement Learning, for various real-world problems such as Last-mile delivery problem in logistics, Data Imbalance in Health Informatics etc. Additionally, I am interested in machine learning applications for image classification and recognition tasks using CNN and GCNs, as well as time series prediction with LSTM, GRU, and Transformer architectures.