Profile

Utsha Das

উৎস দাশ

Assistant Professor

  •  Room No:  CSE 206, 1st Floor, CSE Building ( Academic Building-1), RUET, Rajshahi-6204, Bangladesh.
  •  Phone:   880-1826526004
  •  Email:   utsha.das@cse.ruet.ac.bd
Field of Research
  •  Machine Learning
  •  Data Mining
  •  Health Informatics
  •  Bioinformatics
ResearchGate Google Scholar Citation
  •  First Joined: 23rd Jan, 2024
  •      Dept. of Computer Science & Engineering

Position

Education

Book / Book Chapter
0
Journal Articles
0
Conference Papers
12
SL Authors Title Publisher Details Publication Year Type
1 Md. Sozib Hossain, Md. Ali Hossain, and Utsha Das A Low-Cost Model for Lung Nodule Classification from 3D CT Images using the Feature-Fused Orthogonal Views with Parallel 2D CNNs 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking 2025 Conference
2 Kaif Ahmed Khan, Utsha Das, Md. Tanvir Raihan, MD. Hirok Reza, and Maruf Billah A Machine Learning Framework for Non-invasive Hepatitis C Virus Detection Using Feature Selection 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking 2025 Conference
3 Md. Sozib Hossain, Md. Ali Hossain, and Utsha Das Patch-Based Lung Nodule Malignancy Classification using Vision Transformer with XAI Interpretation 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking 2025 Conference
4 Md Ibrahim Sarker Raiyan, Sakib Sarker, Utsha Das, Emon Ahammed, Md. Tareq Zaman, and Mahshar Yahan Identification of Potential Genomic Biomarkers in Pancreatic Cancer, Colon Cancer, and Ulcerative Colitis Using Integrated Machine Learning and Bioinformatics Approaches 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking 2025 Conference
5 Utsha Das, Boshir Ahmed An Explainable ML Approach for Diabetes Detection Using the Influential Features 2023 26th International Conference on Computer and Information Technology (ICCIT) 2023 Conference
6 Utsha Das, Boshir Ahmed Identification of Influential Features for Diabetes Prediction at Early Stage 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) 2022 Conference
7 Md Al Mehedi Hasan, Jungpil Shin, Utsha Das, Azmain Yakin Srizon Identifying prognostic features for predicting heart failure by using machine learning algorithm 2021 11th International Conference on Biomedical Engineering and Technology 2021 Conference
8 Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam Effective data dimensionality reduction workflow for high-dimensional gene expression datasets 2020 IEEE Region 10 Symposium (TENSYMP) 2020 Conference
9 Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan Accurate recognition of coronary artery disease by applying machine learning classifiers 2020 23rd International Conference on Computer and Information Technology (ICCIT) 2020 Conference
10 Utsha Das, Azmain Yakin Srizon, Md Ansarul Islam, Dhiman Sikder Tonmoy, Md Al Mehedi Hasan Prognostic Biomarkers Identification for Diabetes Prediction by Utilizing Machine Learning Classifiers 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI) 2020 Conference
11 Utsha Das, Md. Al Mehedi Hasan, and Julia Rahman Influential Gene Identification for Cancer Classification 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) 2019 Conference
12 Utsha Das, Md Al Mehedi Hasan, and Julia Rahman Identification of Potential Biomarker Using Combined Analysis of Differentially Expressed Genes and miRNAs for Alzheimer’s Disease 2019 5th International Conference on Advances in Electrical Engineering (ICAEE) 2019 Conference
  •  Technical Education Scholarship, RUET.
  •  Secondary School Certificate Scholarship, Jashore Board.
  •  Junior School Scholarship, Khulna Division.
  •  Graduate Member, IEEE.
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
1903006Sayeef MahmudDetection of blast disease in rice leavesUndergraduate
1903028Tahsin RaihanMissingUndergraduate
1903034Tanvir Shakil JoyExplainable AI in Diabetic Retinopathy Detection: A CNN-Based ApproachUndergraduate
1903079Rifa ZumanaAcne Severity Grading on Face Images using Machine LearningUndergraduate
1903142Sanjida FerdeousiMRI based brain tumor detection using 3D Multimodal Brain Tumor Segmentation Using Swin Transformer and YOLOv7 modelUndergraduate
Activity Description
Database Administration Oracle Certified Database Administrator- Oracle 2019C
System Administration Professional Training on RedHat Certified Engineers V.8