Koushik Roy

Koushik Roy is a dedicated professional in Computer Science and Engineering, passionate about using technology, innovation, and research to solve real-world problems. He is currently working as a Lecturer in the Department of Computer Science and Engineering at R. P. Shaha University. He completed his Bachelor of Science (B.Sc.) in Computer Science and Engineering from Bangladesh Army International University of Science and Technology (BAIUST). He is now pursuing a Master of Science (M.Sc.) in Computer Science and Engineering at Chittagong University of Engineering and Technology (CUET). His research interests include Machine Learning, Deep Learning, Blockchain Technology, Data Science, and Natural Language Processing (NLP). Alongside his academic work, he also has hands-on experience in mobile app development using Flutter.

Research Articles

Reno, S., Roy, K., Kafi, G. A. A., Tuly, S. N., Akter, S., Sarar, S., & Hasan, M. R. (2025). ChainFusion: Resolving the blockchain trilemma via federated sharding and proof-of-integrity consensus. In Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025). (Accepted).

Reno, S., & Roy, K. (2025). CrustChain: Resolving the blockchain trilemma via decentralized storage and proof-of-capacity consensus. PLOS ONE, 20(8), 1–28. https://doi.org/10.1371/journal.pone.0328395

Roy, K., Easin, M., Reno, S., Sarker, A. M., & Shamsi, R. (2025). Leveraging a stacking ensemble model for accurate depression prediction and diagnosis across all ages. Engineering Reports, 7(10), e70416. https://doi.org/10.1002/eng2.70416

Reno, S., & Roy, K. (2025). StorjLedger: An innovative distributed storage ecosystem that overcomes blockchain trade-offs using erasure-coded sharding and proof-of-storage consensus. Engineering Reports, 7(10), e70412. https://doi.org/10.1002/eng2.70412

Saha Reno, & Roy, K. (2025). Navigating the blockchain trilemma: A review of recent advances and emerging solutions in decentralization, security, and scalability optimization. Computers, Materials & Continua, 84(2), 2061–2119. https://doi.org/10.32604/cmc.2025.066366

Reno, S., Roy, K., & Tabassum, T. (2025). Blockweave: An Arweave-based decentralized storage solution to tackle the blockchain trilemma. Engineering Reports, 7(7), e70259. https://doi.org/10.1002/eng2.70259

Reno, S., & Roy, K. (2025). StorjChain: Overcoming the blockchain trilemma via decentralized storage and erasure-coded sharding. International Journal of Information Security, 24(4), 179. https://doi.org/10.1007/s10207-025-01100-5

Easin, M., Roy, K., Nayeem, G. M., Reno, S., Sarker, A. M., & Shamsi, R. (2025). Short-term rainfall forecasting using LSTM, ARIMA, and LSTM time series generator models. In Proceedings of the 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (pp. 67–74). https://doi.org/10.1109/IDCIOT64235.2025.10915165

Main Menu

Quick Links

Main Menu

Quick Links

Workshops

Received

Trainings

Received

Research Articles

Conferences

ZenithhBD

Intern Software Developer (Flutter)

ePolli

Intern Software Developer (Flutter)