Dr Sujit Biswas

Contact details

Address

Dr Sujit Biswas
City, University of London
Northampton Square
London EC1V 0HB
United Kingdom

Personal links

Details about Me

About
Research
Publications
Professional activities

About

Overview

Dr. Sujit Biswas is a distinguished blockchain researcher and academic with a profound impact on the field of distributed ledger technology. He is a Lecturer (equivalent to Assistant Professor) in Cybersecurity and FinTech, Computer Science Department, City, University of London, UK, and Research Associate (Honarary) at CBT, University College London (UCL). Prior to this position, he was a lecturer in Computer Science and Digital Technologies at the University of East London; a research fellow in blockchain and AI at the University of Surrey's Centre for Vision, Speech, and Signal Processing (CVSSP). He also served as an assistant professor in the Department of Computer Science and Engineering at Faridpur Engineering College, Dhaka University, Bangladesh. He holds a Ph.D. in Computer Science and Technology from the Beijing Institute of Technology, China, and has dedicated his career to exploring the theoretical foundations and practical applications of blockchain technology. Dr. Sujit’s research focuses on consensus algorithms, scalability solutions, and privacy-enhancing techniques within blockchain systems. His innovative work has been published in numerous prestigious journals and presented at international conferences, earning her recognition as a thought leader in the blockchain space. For instance, the IEEE Internet of Things Journal, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, IEEE Transactions on Service Management, Computer Magazine, ACM Computing Surveys, etc. In addition to his research contributions, Dr. Sujit Biswas is a passionate educator and mentor, inspiring the next generation of Blockchain enthusiasts, Federated Machine Learning, Deep Learning, Machine Learning domains, Internet of Things, etc. Furthermore, Dr. Sujit is actively involved in collaborative projects with both industry and government entities, working to bridge the gap between academia and real-world blockchain applications.

Qualifications

PhD in Computer Science and Technology, Beijing Institute of Technology, China, Sep 2016 – Mar 2020

Employment

Lecturer (eq. Assistant Prof.) in Cybersecurity and FinTech, City, University of London, Jan 2024 – present

Memberships of professional organisations

Member, IEEE, Jan 2020 – present
Life Member, Bangladesh Computer Society (BCS), Feb 2017 – present

Award

Beijing Institute of Technology (2019) Excellent Student Award 2018-2019
The award was for contribution ot the research and publication

Languages

Bengali (can read, write, speak, understand spoken and peer review), Chinese (Cantonese) (can understand spoken), English (can read, write, speak, understand spoken and peer review) and Hindi (can understand spoken).

Research

Research Interest

Blockchain, FinTech, Internet of Things, Machine Learning, Federated Machine Learning,

Current Research

Secure Authentication in FinTech domain, Sclabble Blockchain Solutions for IoT, IoMT, etc.

Research students

Qasim, Tooba

Attendance: Feb 2024 – present, full-time

Role: 2nd Supervisor

Publications

Publications by category

Conference papers and proceedings (6)

Zhu, L., Bukhari, S., Sharif, K., Li, F., Fardous, S. and Biswas, S. (2025). A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain Systems. doi:10.1007/978-3-031-71467-2_25
Zohora, F.T., Biswas, S., Bairagi, A.K. and Sharif, K. (2024). Nature-based Bengali Picture Captioning using Global Attention with GRU. 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP) 22-25 September. doi:10.1109/mlsp58920.2024.10734813
Consul, P., Joshi, N., Budhiraja, I., Biswas, S., Kumar, N., Sharma, S. … Abraham, A. (2024). A Reliable Zero-Trust Network for Task Offloading in Vehicular Systems Using an Asynchronous Federated Learning Approach in 6G. ACM SIGCOMM '24: ACM SIGCOMM 2024 Conference. doi:10.1145/3672200.3673877
Reza, M.S., Biswas, S., Alghamdi, A., Alrizq, M., Bairagi, A.K. and Masud, M. (2021). ACC: Blockchain Based Trusted Management of Academic Credentials. 2021 IEEE International Symposium on Smart Electronic Systems (iSES) 18-22 December. doi:10.1109/ises52644.2021.00104
Paul, P.B., Biswas, S., Bairagi, A.K. and Masud, M. (2021). Data-Driven Decision Making for Smart Cultivation. 2021 IEEE International Symposium on Smart Electronic Systems (iSES) 18-22 December. doi:10.1109/ises52644.2021.00064
Biswas, S., Sharif, K., Li, F. and Liu, Y. (2017). 3P Framework: Customizable Permission Architecture for Mobile Applications. doi:10.1007/978-3-319-60033-8_39

Journal articles (29)

Thiriveedhi, A., Ghanta, S., Biswas, S. and Pradhan, A.K. (2025). ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia. PeerJ Computer Science, 11. doi:10.7717/peerj-cs.2600.
[publisher’s website]
Biswas, S., Sharif, K., Latif, Z., Alenazi, M.J.F., Pradhan, A.K. and Bairagi, A.K. (2024). Blockchain controlled trustworthy federated learning platform for smart homes. IET Communications, 18(20), pp. 1840–1852. doi:10.1049/cmu2.12870.
[publisher’s website]
Monjurul Karim, M., Sharif, K., Biswas, S., Latif, Z., Qu, Q. and Li, F. (2024). CIC-SIoT: Clean-Slate Information-Centric Software-Defined Content Discovery and Distribution for Internet of Things. IEEE Internet of Things Journal, 11(22), pp. 37140–37153. doi:10.1109/jiot.2024.3441814.
[publisher’s website]
Singamsetty, S., Ghanta, S., Biswas, S. and Pradhan, A. (2024). Enhancing machine learning-based forecasting of chronic renal disease with explainable AI. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.2291.
[publisher’s website]
Chatterjee, S., Debnath, R., Biswas, S. and Bairagi, A.K. (2024). Prediction of RNA Secondary Structure Using Butterfly Optimization Algorithm. Human-Centric Intelligent Systems, 4(2), pp. 220–240. doi:10.1007/s44230-024-00062-6.
[publisher’s website]
Nag, A., Mondal, H., Mehedi Hassan, M., Al-Shehari, T., Kadrie, M., Al-Razgan, M. … Kumar Bairagi, A. (2024). TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification. IEEE Access, 12, pp. 103060–103081. doi:10.1109/access.2024.3429633.
[publisher’s website]
Bukhari, S., Sharif, K., Zhu, L., Xu, C., Li, F. and Biswas, S. (2024). Dynamic Fine-grained SLA Management for 6G eMBB-plus Slice using mDNN & Smart Contracts. IEEE Transactions on Services Computing pp. 1–14. doi:10.1109/tsc.2024.3453709.
[publisher’s website]
Wang, Z., Liu, X., Shao, X., Alghamdi, A., Alrizq, M., Munir, M.S. … Biswas, S. (2023). An Optimized and Scalable Blockchain-Based Distributed Learning Platform for Consumer IoT. Mathematics, 11(23). doi:10.3390/math11234844.
Sohail, M., Latif, Z., Javed, S., Biswas, S., Ajmal, S., Iqbal, U. … Khan, A.U. (2023). Routing protocols in Vehicular Adhoc Networks (VANETs): A comprehensive survey. Internet of Things, 23, pp. 100837–100837. doi:10.1016/j.iot.2023.100837.
[publisher’s website]
Prottasha, N.J., Murad, S.A., Muzahid, A.J.M., Rana, M., Kowsher, M., Adhikary, A. … Bairagi, A.K. (2023). Impact learning: A learning method from feature’s impact and competition. Journal of Computational Science, 69, pp. 102011–102011. doi:10.1016/j.jocs.2023.102011.
[publisher’s website]
Biswas, S., Yao, Z., Yan, L., Alqhatani, A., Bairagi, A.K., Asiri, F. … Masud, M. (2023). Interoperability Benefits and Challenges in Smart City Services: Blockchain as a Solution. Electronics, 12(4). doi:10.3390/electronics12041036.
Latif, Z., Umer, Q., Lee, C., Sharif, K., Li, F. and Biswas, S. (2022). A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks. Sensors, 22(21). doi:10.3390/s22218434.
Biswas, S., Sharif, K., Li, F., Alam, I. and Mohanty, S.P. (2022). DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System. IEEE Transactions on Big Data, 8(5), pp. 1273–1287. doi:10.1109/tbdata.2020.3037914.
[publisher’s website]
Alghamdi, A., Zhu, J., Yin, G., Shorfuzzaman, M., Alsufyani, N., Alyami, S. … Biswas, S. (2022). Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis. Sensors, 22(18). doi:10.3390/s22186786.
Wang, J., Zhu, J., Zhang, M., Alam, I. and Biswas, S. (2022). Function Virtualization Can Play a Great Role in Blockchain Consensus. IEEE Access, 10, pp. 59862–59877. doi:10.1109/access.2022.3176349.
Liu, Y., Shan, G., Liu, Y., Alghamdi, A., Alam, I. and Biswas, S. (2022). Blockchain Bridges Critical National Infrastructures: E-Healthcare Data Migration Perspective. IEEE Access, 10, pp. 28509–28519. doi:10.1109/access.2022.3156591.
Biswas, S., Sharif, K., Li, F., Bairagi, A.K., Latif, Z. and Mohanty, S.P. (2021). GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data—A COVID-19 Perspective. IEEE Consumer Electronics Magazine, 10(5), pp. 64–69. doi:10.1109/mce.2021.3074688.
[publisher’s website]
Alam, I., Sharif, K., Li, F., Latif, Z., Karim, M.M., Biswas, S. … Wang, Y. (2021). A Survey of Network Virtualization Techniques for Internet of Things Using SDN and NFV. ACM Computing Surveys, 53(2), pp. 1–40. doi:10.1145/3379444.
[publisher’s website]
Latif, Z., Sharif, K., Li, F., Karim, M.M., Biswas, S., Shahzad, M. … Mohanty, S.P. (2021). DOLPHIN: Dynamically Optimized and Load Balanced Path for Inter-Domain SDN Communication. IEEE Transactions on Network and Service Management, 18(1), pp. 331–346. doi:10.1109/tnsm.2020.3045725.
[publisher’s website]
Bairagi, A.K., Masud, M., Kim, D.H., Munir, M.S., Nahid, A.-.A., Abedin, S.F. … Hong, C.S. (2020). Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. IEEE Access, 8, pp. 215570–215581. doi:10.1109/access.2020.3040821.
Biswas, S., Sharif, K., Li, F., Latif, Z., Kanhere, S.S. and Mohanty, S.P. (2020). Interoperability and Synchronization Management of Blockchain-Based Decentralized e-Health Systems. IEEE Transactions on Engineering Management, 67(4), pp. 1363–1376. doi:10.1109/tem.2020.2989779.
[publisher’s website]
Biswas, S., Sharif, K., Li, F. and Mohanty, S. (2020). Blockchain for E-Health-Care Systems: Easier Said Than Done. Computer, 53(7), pp. 57–67. doi:10.1109/mc.2020.2989781.
[publisher’s website]
Latif, Z., Sharif, K., Li, F., Karim, M.M., Biswas, S. and Wang, Y. (2020). A comprehensive survey of interface protocols for software defined networks. Journal of Network and Computer Applications, 156, pp. 102563–102563. doi:10.1016/j.jnca.2020.102563.
[publisher’s website]
Biswas, S., Sharif, K., Li, F., Maharjan, S., Mohanty, S.P. and Wang, Y. (2020). PoBT: A Lightweight Consensus Algorithm for Scalable IoT Business Blockchain. IEEE Internet of Things Journal, 7(3), pp. 2343–2355. doi:10.1109/jiot.2019.2958077.
[publisher’s website]
Nour, B., Sharif, K., Li, F., Biswas, S., Moungla, H., Guizani, M. … Wang, Y. (2019). A survey of Internet of Things communication using ICN: A use case perspective. Computer Communications, 142-143, pp. 95–123. doi:10.1016/j.comcom.2019.05.010.
[publisher’s website]
Biswas, S., Sharif, K., Li, F., Nour, B. and Wang, Y. (2019). A Scalable Blockchain Framework for Secure Transactions in IoT. IEEE Internet of Things Journal, 6(3), pp. 4650–4659. doi:10.1109/jiot.2018.2874095.
[publisher’s website]
Biswas, S., Haipeng, W. and Rashid, J. (2016). Android Permissions Management at App Installing. International Journal of Security and Its Applications, 10(3), pp. 223–232. doi:10.14257/ijsia.2016.10.3.21.
[publisher’s website]
Biswas, S. (2015). Mobile Banking Based a New E-commerce Architecture: Developing Countries Perspective. International Journal of u- and e-Service, Science and Technology, 8(2), pp. 347–356. doi:10.14257/ijunesst.2015.8.2.33.
[publisher’s website]
Biswas, S. (2015). GSM Verification Based Secure E-Voting Framework. International Journal of u- and e-Service, Science and Technology, 8(1), pp. 231–238. doi:10.14257/ijunesst.2015.8.1.21.
[publisher’s website]