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Dr Sujit Biswas
Lecturer
Teaching and Research
Department of Engineering & Computing , School Of Architecture, Computing And Engineering
Dr Sujit Biswas is a Lecturer in the Department of Computer Science and Digital Technology at the University of East London. He is also a Research Associate (Honorary) at the Centre for Blockchain Technologies (CBT), University College London (UCL), UK.
Qualifications
- PhD in Computer Science and Technology, Beijing Institute of Technology, China
Areas Of Interest
- Blockchain
- Internet of Things (IoT)
- Machine Learning
- Deep Learning
- Federated Machine Learning
OVERVIEW
Dr Sujit Biswas is a Lecturer in the Department of Computer Science and Digital Technology at the University of East London. He is also a Research Associate (Honorary) at the Centre for Blockchain Technologies (CBT), University College London (UCL), UK. His current research interest includes Federated Machine Learning, Deep Learning, Machine Learning, Blockchain, Internet of Things, etc.
He completed his PhD from the Beijing Institute of Technology in Computer Science and Technology. Many of his research works have been published in IEEE Internet of Things Journal, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, Computer Magazine, ACM Computing Surveys, etc.
He has been teaching since the beginning of his professional career. In addition, he is a regular reviewer for dozens of top-tier journals, TPC chair of distinguished conferences, and a guest Editor of Journals. In teaching, he handles Data Structure Algorithms, Software Development, Advanced Software Development, Basic Computing, Programming Languages, Web Programming, The Internet of Things, etc. He has been experienced in various teaching and research positions in Bangladesh, China, and the UK for the past ten years.
PUBLICATIONS
Research Groups:
- Smart City Research Group
COURSES TAUGHT
- Data Structures and Algorithms
- Software Development
- Advanced Software Development
Publications
The last four years of publications can be viewed below.
Full publications list
Visit the research repository to view a full list of publications
- Interoperability Benefits and Challenges in Smart City Services: Blockchain as a Solution Electronics. 12 (4), p. Art. 1036. https://doi.org/https://doi.org/10.3390/electronics12041036
- Impact learning: A learning method from feature’s impact and competition Journal of Computational Science. 69 (Art. 102011). https://doi.org/10.1016/j.jocs.2023.102011
- Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis Sensors. 22 (18), p. 6786. https://doi.org/10.3390/s22186786
- A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks Sensors. 22 (21), p. Art. 8434. https://doi.org/10.3390/s22218434