Saurav Ghosh
Graduate Assistant — Computer Science
About Me
Currently, a graduate student majoring in Applied Computer Science, with eyes set on graduating in Spring 2025. My academic journey began across the world at BRAC University in Bangladesh, where I fell in love with Computer Security. Since Spring 2024, I’ve been a Graduate Assistant at the Department of Computer Science and I’ve had the chance to teach Python, help with research, and support the Computer Science department with various administrative tasks.
Before coming to SEMO, I worked in IT in Bangladesh, where I managed security and technology systems. I enjoy learning new things, especially in the field of security, and I love to play Chess!
Publications:
- Ghosh, S., Mitra, R., & Roy, I. (2024). Securing RC-Based P2P Networks: A Blockchain-Based Access Control Framework Utilizing Ethereum Smart Contracts for IoT and Web 3.0. 37th International Conference on Computer Applications in Industry & Engineering; Springer Nature.
- Mahmud Badhon, A. I., Hasan, M. S., Haque, M. S., Pranto, M. S. H., Ghosh, S., & Alam, M. G. R. (2023). Diagnosing Prostate Cancer: An Implementation of Deep Machine Learning Fusion Network in MRI Using a Transfer Learning Approach. 6th International Conference on Big Data and Smart Computing (pp. 33-43). DOI: 10.1145/3584871.3584876
Conference Presentations:
- Ghosh, S., Mitra, R., & Roy, I. (2024, April). Enhancing Security in Peer-to-Peer Networks: A Blockchain-Based Access Control Framework Utilizing Ethereum Smart Contracts. Oral presentation at the 32nd Annual Student Research Conference, Southeast Missouri State University.
- Ghosh, S., Redington, L., & Dama, P. (2024, April). Enhancing Cybersecurity Through Automated Vulnerability Inspection. Poster presentation at the 32nd Annual Student Research Conference, Southeast Missouri State University.
- Ghosh, S., Mitra, R., & Roy, I. (2023, October). Access Control Schemes for Residue Class Based P2P Network. Poster presentation at the 4th STLCyberCon, Touhill Performing Arts Center, University of Missouri – Saint Louis.
Academic Thesis:
- Prostate Cancer Detection using Deep Learning Neural Network with Transfer Learning Approach. BRAC University, 2021. Developed a deep learning model for prostate cancer detection using MRI images, integrating VGG16-based transfer learning and machine learning classifiers for superior accuracy.
Achievements:
- 2nd, Graduate Capstone - Poster Presentation, 32nd Annual Student Research Conference, Southeast Missouri State University.
- 2nd, Graduate Capstone - Oral Presentation, 32nd Annual Student Research Conference, Southeast Missouri State University.