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Sanchita Rani Das

Assistant Professor

Department of Computer Science & Engineering

Sanchita Rani Das
Sanchita Rani Das

Assistant Professor

sanchitanipa@gmail.com
+8801723820552
Department of CSE, Level-5, Prime University, Room 504
Sunday-Tuesday (9:00am-5:00pm), Thursday-Friday (10:30am-6:30pm)
Department of Computer Science & Engineering

Masters of Engineering (ICT)
Bachelor of Science (CSE)

Artificial Intelligence
Machine Learning
Deep Learning
Network Security

Lecturer (2015-2025), Department of CSE, Prime University
Assistant Professor (2025- Present), Department of CSE, Prime University

• CSE 1111: Structured Computer Programming
• CSE 2209: Discrete Mathematics
• CSE 2103: Data Structure
• CSE 1211: Object Oriented Programming I C++
• CSE 2203: Computer Architecture and Organization
• CSE 2205: Digital Logic Design
• CSE 3103: Operating System
• CSE 2201 : Design and Analysis of Algorithms
• CSE 335: Compiler Design
• CSE 4105: Artificial Intelligence

o S. Ahmmed, S. R. Das, M. I. Leon and M. R. H. Mondal, "Hybrid CNN-LSTM Transfer Learning for Dengue Diagnosis from Raman Spectroscopy Images," 2023 IEEE International Conference on Telecommunications and Photonics (ICTP), Dhaka, Bangladesh, 2023, pp. 1-5, doi: 10.1109/ICTP60248.2023.10490800.
o Podder, P.; Das, S.R.; Mondal, M.R.H.; Bharati, S.; Maliha, A.; Hasan, M.J.; Piltan, F. LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases. Sensors 2023, 23, 480. https://doi.org/10.3390/s23010480
o Dardina Tasmere, Boshir Ahmed and Sanchita Rani Das. Real Time Hand Gesture Recognition in Depth Image using CNN. International Journal of Computer Applications (IJCA) 174(16):28-32, January 2021.
o Sanchita Rani Das, Md. Al Mamun and Md. Ali Hossain. Temporal Gradient based Satellite Image Compression. International Journal of Computer Applications (IJCA) 174(20):38-41, February 2021.

1. A Comprehensive Analysis of Machine Learning Models to Identify Network Intrusion With UNSW-NB15 Data Set
o This research contributes to the advancement of intrusion detection methodologies, providing insights into the effectiveness of different ML algorithms detecting and mitigating network threats.
2. Kidney Disease Detection From CT Scan Image Using Transfer Learning Models
o The research work will support clinicians by improving diagnostic efficiency and reducing the workload associated with manual image analysis.
3. Attendance Management System
o An android-based app, designed and developed to take attendance of students in less time.
o Development Tools: Android, Intell Idea
4. Website Design and Maintenance of a University
o This project is designed and developed to maintain the website of a university.
o Development Tools: HTML, CSS, PHP, MySQL.
5. E-Schooling Management System
o The project is designed to maintain online based school, where the students can collect all their necessary documents from there and can keep there for later use.
o Development Tools: NetBeans8.0.1, MySQL.

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