Md Zahangir Alam, PhD

I have earned the degree of my Doctor of Philosophy (Ph.D.) (award date: 6 Sept. 20222) from the School of Electrical and Information Engineering (EIE), the University of Sydney, Sydney, Australia under wireless networking group (WiNG) directed by professor Abbas Jamalipour. I did my second Master’s study in the department of Electrical and Computer Engineering (ECE) at the University of Laval, Quebec, Canada in July 2018. His current research interests include the industrial internet of things (IIoT), multi-agent systems modeling and optimization in complex dynamic environment (such as autonomous vehicles, UAV, digital twin), cyber-physical systems, computational intelligence and machine learning methods, transfer learning and deep learning. 

I did my Bachelor study from the department of Applied Physics and Electronics Engineering (now EEE) at the University of Rajshahi in Bangladesh and secured 1^st class result in the exam. In my underground level I have studied several courses related to electronics, wireless communications, and signal processing etc. My undergraduate project was “LED based counter design”. I also did my first Master’ s from the same University with 1^st class result, major on wireless communication, thesis entitled “Simulation study on the performance evaluation of OFDM wireless communication system”.

I am working on machine learning application in high mobility environment (for example in highly dynamic vehicular environment) who bridges the gap between theory and application for such mobility network. I have developed both the underlying theory and real implementations to guarantee the ultra-reliable and low-latency communication (URLLC) in vehicular environment. My detail work is on optimal route panning for a vehicular communication networks that is very important to establish driverless car. I have solved the optimal path problem from source to destination for a static environment and demonstrated the result using Python simulation software. In real application, the environment is highly dynamics and I am solving the route planning problem for dynamic environment using Machine learning algorithm. The route planning algorithm requires high computation electronic devices. However, the processor on board electronic devices have low computation capability. In my last paper, I have solved optimal task offloading using multi-agent DRL technique for the internet of vehicles (IoVs) where any candidate vehicle can send the large volume task to a cloud server and the server will execute the task and send back to the original candidate vehicle.  Moreover, my aim also to provide network security for the IoV network to prevent the network access from outside using deep learning algorithm. The derived mathematical theory will be verified using Python simulation software. My developed method has a great impact for deploying vehicular communications-based road transportation systems to reduce road accidents by a great amount. Till now, my three articles have been published as the first author in different IEEE journals. He is currently serving as the reviewer of IEEE Trans on Vehicular Technology, IEEE Trans on Wireless communications, IEEE Geoscience and Remote Sensing Letters (GRSL), IEEE access, ETRI journal, and IET signal processing.

Besides, I have been working as a casual academic around 1.5 years on networking design and security in the School of Electrical and Information Engineering, the University of Sydney. I worked as a sessional unit lecturer in the IT master program at Edit Cowan University, Sydney campus. I have also worked as a sessional lecturer in the Bachelor of IT program, Federation University, Sydney campus.  Moreover, I also have over 3 years teaching experiences for undergraduate and graduate program in the ETE Department Prime University, Dhaka, Bangladesh.