Research Interest:

Software Engineering, Machine Learning, Artificial Intelligence, Optimization Algorithms.

Publications:

Journal Publications:

1. Geetika, Navdeep Kaur, and Amandeep Kaur. “An optimized hybrid deep learning model for code clone detection.” International Journal of Information Technology, pp. 1-7, springer, 2025.

2. Mehta, Ashu, Amandeep Kaur, and Navdeep Kaur. “Optimizing Software Fault Prediction using Voting Ensembles in Class Imbalance Scenarios.” International Journal of Performability Engineering 20.11 (2024).

3. Maini, Ritika, Navdeep Kaur, and Amandeep Kaur. “HSHEP: An Optimization-Based Code Smell Refactoring Sequencing Technique.” Journal of Computational and Cognitive Engineering, pp.616-625, Springer,2024.

4. Amandeep Kaur, Sushma Jain, Shivani Goel & Gaurav Dhiman. “A review on machine-learning based code smell detection techniques in object-oriented software system (s).” Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14.3, 290-303, 2021, Bentham Science.

5. Amandeep Kaur, “A Systematic Literature Review on Empirical Analysis of the Relationship Between Code Smells and Software Quality Attributes”. Archives of Computational Methods in Engineering, PP 1-30, Springer, 2019.

6. Amandeep Kaur, Sushma Jain, and Shivani Goel. “SP-J48: A Novel Optimization and Machine-Learning based Approach for Solving Complex Problems: Special Application in Software Engineering for Detecting Code Smells”, Neural Computing and Applications, Springer, 2019.

7. Amandeep Kaur, Sushma Jain, and Shivani Goel. “Sandpiper Optimization Algorithm: A Novel Approach for Solving Real-life Engineering Problems”, Applied Intelligence, Springer, 2019.

8. Gaurav Dhiman and Amandeep Kaur. “STOA: A Bio-inspired based Optimization Algorithm for Industrial Engineering Problems”, Engineering Applications of Artificial Intelligence, Elsevier, 2019.

Conference Publications:

1. Maini, Ritika, and Amandeep Kaur, “A Hybrid Approach for Detecting Software Refactoring Sequencing.”     International Conference on Deep Learning, Artificial  Intelligence and Robotics. Cham: Springer Nature Switzerland, 2023.

2. Amandeep Kaur, Sushma Jain, and Shivani Goel. “A support vector machine-based approach for code smell detection.” 2017 international conference on machine  learning and data science (MLDS). IEEE, 2017.

Reviewer for Journals : IEEE, Elsevier, Springer, Wiley, Taylor & Francis

B.Tech Major Project Supervised: 04 (Completed), 03(ongoing)

M.Tech Thesis Supervised: 04(ongoing)