Professional Experience

1. Assistant Professor, Indian Institute of Information Technology and Management, Gwalior, March. 2019 to present.
2. Assistant Professor, Computer Science and Engineering Department, NIT Jalandhar, India, Jan 2018- March 2019
3. Assistant Professor, Computer Science and Engineering Department, Thapar University, India, July 2017-Jan 2018

Academic Credentials

Ph.D.: Indian Institute of Technology Roorkee, 2017.

M.Tech.: Indian Institute of Information Technology Design and Manufacturing Jabalpur,  2013.

B.E.: R.G.P.V. University, Bhopal, 2010.

Sponsored Projects-

1. Title: Artificial Intelligence Enabled Dialogue based Online Medical System Development for Precision Healthcare

Role: Principal Investigator
Funding Agency: DST- SERB, Start-Up Research Grant, Govt. of India, (2021-23)
Amount: 15,43,344/-


2. Title: AUTOEMR: An AI-based System for Generating Structured Medical Information
Role: Principal Investigator
Funding Agency: TIIC, ABV-IIITM Gwalior, (2021-22)
Amount: 3,00,000/-


3. Title: Design of NextGen Hearing Aids
Role: Co-Principal Investigator
Funding Agency: TIIC, ABV-IIITM Gwalior, (2021-22)
Amount: 3,00,000/-

4. Title: Inferring High-level Code Similarities in Software System using String-Metric based Hybrid Technique
Role: Co-Principal Investigator
Funding Agency: Grant for R & D proposal, TEQIP-III, Dr. B. R. Ambedkar, NIT Jalandhar (2018-19)
Amount: 3,00,000/-

Book-

1. Santosh Singh Rathore and Sandeep Kumar, "Fault Prediction Modeling for the Prediction of Number of Software Faults", SpringerBrief in Computer Science, Springer Singapore, DOI: https://doi.org/10.1007/978-981-13-7131-8.
2. Sandeep Kumar and Santosh Singh Rathore, "Software Fault Prediction; A Road Map", SpringerBrief in Computer Science, Springer Singapore, DOI: 10.1007/978-981-10-8715-8.

Referred Journals-

1. Monika Choudhary, Satyendra Singh Chouhan, and Santosh Singh Rathore, "Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content," In ACM Transactions on Intelligent Systems and Technology, DOI: https://doi.org/10.1145/3673236.

2. Prutha Patani, Saurabh Tiwari, and Santosh Singh Rathore, "The Impact of Github on Students’ Learning and Engagement in Software Engineering Cours," In Computer Applications in Engineering Education, Wiley, Vol. 32, Issue 5, 2024. e22775.

3. Shadab Naseem, Santosh Singh Rathore, Sandeep Kumar, Sugata Gangopadhyay, Ankita Jain, "An Approach to Occluded Face Recognition based on Dynamic Image-to-Class Warping using Structural Similarity Index," In Applied Intelligence Journal, vol. 53, pp. 28501–28519, Springer, 2023.

4. Aman Omar, Santosh Singh Rathore, and Sandeep Kumar, "ME-SFP: A Mixture of Experts based Approach for Software Fault Prediction," In IEEE Transactions on Reliability, vol. 73, issue 1, pp. 710-725, IEEE, 2023.

5. Swarup Padhy and Santosh Singh Rathore, "An attention‐based deep learning model for credibility assessment of online health information," In Computational Intelligence, Wiley, vol. 39, issue 5, pp. 832-859, 2023.

6. Aditya Shankar Mishra and Santosh Singh Rathore, "Implicit and explicit mixture of experts models for software defect prediction," In Software Quality Journal, vol. 31, pp. 1331-1368, Springer, 2023.

7. Lalit Purohit, Santosh S. Rathore, and Sandeep Kumar, "A QoS-Aware Clustering based Multi-layer Model for Web Service Selection," In IEEE Transaction on Services Computing, IEEE, 2023, DOI: 10.1109/TSC.2023.3264627.

8. Srividya Bhaskara and Santosh Singh Rathore, "Causal effect analysis-based intrusion detection system for IoT applications", In International Journal of Information Security, 2023. DOI: https://doi.org/10.1007/s10207-023-00674-2.

9. Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, and Santosh S. Rathore, "Open-world Machine Learning: Applications, Challenges, and Opportunities," In ACM Computing Survey, 2022 (accepted).

10. Sanskar Soni, Satyendra S. Chouhan, and Santosh S. Rathore, "TextConvoNet: a convolutional neural network-based architecture for text classification," In Applied Intelligence, pp. 1-20, 2022 1-20. 

11. S. Gangwar, Santosh S. Rathore, Satyendra S. Chouhan, and Sanskar Soni, "Predictive modeling for suspicious content identification on Twitter," In Social Network Analysis and Mining, 12(1), pp. 1-13, 2022.

12. Lalit Purohit, Santosh S. Rathore, and Sandeep Kumar, "Feature Selection and Clustering based Web Service Selection using QoSs," In Applied Intelligence, Springer, (accepted), 2022.

13. Saurabh Tiwäri and Santosh Singh Rathore, "Understanding General Concepts of Requirements Engineering through Design Thinking: An Experimental Study with Students," In Computer Applications in Engineering Education, Wiley, DOI:  https://doi.org/10.1002/cae.22550, 2022. The paper is also available here.

14. Nalin Singh, Santosh Singh Rathore, and Sandeep Kumar, "Towards a Super-Resolution based Approach for Improved Face Recognition in Low Resolution Environment," In Multimedia Tools and Applications, Springer, DOI: https://doi.org/10.1007/s11042-022-13160-z, 2022. The paper is also available here.

15. Debanjan Sadhya, Santosh Singh Rathore, Amitesh Singh Rajput, and Abhinav Anand, "Securing Multimedia Videos Using Space-Filling Curves", In Multimedia Tools and Applications, Springer, DOI: https://doi.org/10.1007/s11042-022-13066-w, 2022. The paper is also available here.

16. Santosh Singh Rathore, Satyendra Singh Chouhan, Dixit Kumar Jain, and Aakash Gopal Vachhani, "Generative Oversampling Methods for Handling Imbalanced Data in Software Fault Prediction", In IEEE Transactions on Reliability, Vol. 71, No. 2, 2022. The paper is also available here.

17. Rohit Singh and Santosh Singh Rathore, "Linear and Non-Linear Bayesian Regression Methods for Software Fault Prediction", In International Journal of System Assurance Engineering, 13, 1864–1884 (2022). The paper is also available here.

18. Santosh Singh Rathore, "An exploratory analysis of regression methods for predicting faults in software systems", In Soft Computing, Springer, 2021, https://doi.org/10.1007/s00500-021-06048-x. Paper is also available here. 

19. Santosh Singh Rathore and Sandeep Kumar,  "Software Fault Prediction based on the Dynamic Selection of Learning Technique: Findings from the Eclipse Project Study", In Applied Intelligence, 2021, https://doi.org/10.1007/s10489-021-02346-x. Paper is also available here.

20. Satyendra S. Chouhan and Santosh S. Rathore, "Generative Adversarial Networks-Based Imbalance Learning in Software Aging-Related Bug Prediction", In IEEE Transaction on Reliability, 2021, vol. 99, pp. 1-19, DOI: 10.1109/TR.2021.3052510. Paper is also available here.

21. Gaurav Yadav, Santosh Singh Rathore, and Debanjan Sadhya, ''Named entity recognition for weather domain text in Hindi'', International Journal of Swarm Intelligence, 2021. DOI: 10.1504/IJSI.2021.118623. 

22. Santosh Singh Rathore and Sandeep Kumar, "An empirical study of ensemble techniques for software fault prediction", In Applied Intelligence, 2020, pp. 1-30, DOI: https://doi.org/10.1007/s10489-020-01935-6.  Paper is also available here.

23. Santosh S. Rathore and Sandeep Kumar, " An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques", In IEEE Transaction on Reliability, 2018, DOI: 10.1109/TR.2018.2864206. Paper is also available here. 

24. Santosh S. Rathore and Sandeep Kumar, "A Study on Software Fault Prediction Techniques", In AI review, Springer, 2017, DOI https://doi.org/10.1007/s10462-017-9563-5. Paper is also available here. 

25. Santosh S. Rathore and Sandeep Kumar, "Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems," In Knowledge-Based Systems, Elsevier, vol. 119, pp. 232-256, 2017. Paper is also available here.

26. Santosh S. Rathore and Sandeep Kumar, "Towards an Ensemble Based System for Predicting the Number of Software Faults," In Expert Systems with Applications, Elsevier, vol. 82, pp. 357-382, 2017. Paper is also available here. 

27. Santosh S. Rathore and Sandeep Kumar, "An empirical study of some software fault prediction techniques for the number of faults prediction," In Soft Computing, vol. 21, no. 24, pp. 7417-7434, Springer, 2016. Paper is also available here.

28. Santosh S. Rathore and Sandeep Kumar, "A decision tree logic based recommendation system to select software fault prediction techniques," In Computing, vol. 99, no. 3, pp. 255-285, Springer, 2016. Paper is also available here.

Referred Conferences

1. Saurabh Tiwari, Santosh Rathore,  Sudhanshu Gupta, Vaibhav Gagote, and Atul Gupta.  Analysis of Use Case Requirements using SFTA and SFMEA Techniques. In proceeding of 17th International Conference on Engineering of Complex Computer Systems (ICECCS), 2012, vol., no., pp.29-38, Paris -  France, 18-20 July 2012. DOI: 10.1109/ICECCS.2012.10.

2. Santosh Singh Rathore and Atul Gupta. Validating the Effectiveness of Object-Oriented Metrics over Multiple Releases for Predicting Fault Proneness. In proceeding of 19th Asia Pacific Software Engineering Conference (APSEC'12), Hongkong, pp 270-275, 4-7 Dec 2012. DOI: 10.1109/APSEC.2012.148.

3. Saurabh Tiwari, Santosh Singh Rathore, Abhinav Singh, Abhijeet Singh, and Atul Gupta. An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements.  In proceeding of 19th Asia Pacific Software Engineering Conference (APSEC'12), Hongkong, pp 350-355, 4-7 Dec 2012 DOI: 10.1109/APSEC.2012.149.

4. Santosh Singh Rathore and Atul Gupta. Investigating Object-Oriented Design Metrics to Predict Fault-Proneness of Software Modules. In proceeding of 6th International Conference on Software Engineering (CONSEG'12), Indore-India, 5-7 Sep 2012. DOI: 10.1109/CONSEG.2012.6349484.

5. Saurabh Tiwari, Santosh Singh Rathore, and Atul Gupta. Selecting Requirement Elicitation Techniques for Software Projects. In proceeding of 6th International Conference on Software Engineering (CONSEG'12), Indore-India, 5-7 Sep 2012. 

6. Santosh Singh Rathore and Atul Gupta. A Comparative Study of Feature-Ranking and Feature-Subset Selection Techniques for Improved Fault Prediction. In proceeding of 7th India Software Engineering Conference (ISEC'14), Chennai-India, 19-21 Feb 2014. DOI: http://dx.doi.org/10.1145/2590748.2590755 .

7. Santosh Singh Rathore and Sandeep Kumar. Predicting Number of Faults in Software System using Genetic Programming. In Proceedings of 2015 International Conference on Soft Computing and Software Engineering (SCSE'15), University of California, Berkeley, USA. DOI:10.1016/j.procs.2015.08.454. 

8. Santosh Singh Rathore and Sandeep Kumar. A Decision Tree Regression based Approach for the Number of Software Faults Prediction. In SIGSOFT Software Engineering Notes, vol. 41, no. 1 (February 2016), pages 1-6. 

9. Santosh Singh Rathore and Sandeep Kumar. Ensemble Methods for the Prediction of Number of Faults: A Study on Eclipse Project. In proceeding of ICIIS 2016 conference, held at IIT Roorkee, Dec 3-4, 2016. 

10. Santosh S. Rathore and Sandeep Kumar. Comparative Analysis of Neural Network and Genetic Programming For Number of Software Faults Prediction. In proceedings of the 2015 National Conference on proceedings of Recent Advances in Electronics & Computer Engineering, pp. 328-332, 2015.

11. Saurabh Tiwari and Santosh Singh Rathore. Coupling and Cohesion Metrics for Object-Oriented Sofware: A Systematic Mapping Study. In proceeding of the 11th Innovation in Software Engineering Conference (ISEC), 2018, India.

12. Pushpendra Singh Rajawat, Deepak Kumar Gupta, Santosh Singh Rathore, and Avtar Singh. Predictive Analysis of Medical Data using a Hybrid Machine Learning Technique. In Proceedings of the 2018 First International Conference on Secure Cyber Computing and Communication (IEEE-ICSCCC), pp. 228-233, 2018. 

13. Saurabh Tiwari and Santosh S. Rathore. Teaching Software Process Models to Software Engineering Students: An Exploratory Study. In Proceedings of the 2019 26th Asia-Pacific Software Engineering Conference (APSEC), pp. 308-315, 2019.

14. Nitin, Kuldeep Kumar, and Santosh Singh Rathore. Analyzing Ensemble Methods for Software Fault Prediction.  In the proceedings of the 1st International Conference on Advanced Communication & Computational Technology (ICACCT-2019), NIT Kurukshetra, 6-7 December 2019. 

15. Saurabh Tiwari, Santosh S. Rathore, Shreya Sagar, Yash Mirani. Identifying Use Case Elements from Textual Specification: A Preliminary Study. In the Proceedings of the 28th IEEE International Requirements Engineering Conference (RE’20), Zurich, Switzerland, 2020, DOI 10.1109/RE48521.2020.00059.

16. Satyendra S. Chouhan, Santosh S. Rathore, and Ritesh C. A Study of Standardization and Instance Filtering Techniques with Various Classification Algorithms for the Aging-Related Bug Prediction in Software System. In the Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS-2020), NIT Kurukshetra, 01- 03 May 2020.

17. Shubam Yadav, Santosh S. Rathore, and Satyendra Chouhan. Authorship Identification Using Stylometry and Document Fingerprinting. In the Proceedings of the 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020. 

18. S. Kumar, D. Sadhya, and Santosh S. Rathore. Efficient Text Normalization via Hybrid Bi-directional LSTM. In Proceedings of 2021 IEEE Bombay Section Signature Conference (IBSSC), pp. 1-6. 2021.

19. A. Negi, Santosh S. Rathore, and D. Sadhya. USB Keypress Injection Attack Detection via Free-Text Keystroke Dynamics. In Proceedings of 2021 8th IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 681-685, 2021. 

20. S. Tiwari, Santosh S. Rathore, S. U. Farooq, and P. Patani. How Students Are Using GitHub? A Survey. In Proceedings of 15th Innovations in Software Engineering Conference (ISEC), pp. 1-5, 2022.

21. Ashutosh Kumar and Santosh S. Rathore. A Deep Learning based Approach to Automate Clinical Coding of Electronic Health Records. In Proceedings of 10th International Conference, BDA 2022, 9-22 Dec 2022 at IIIT Hyderabad, India. 

22. Akshat Mangal, Santosh Singh Rathore, and K. V. Arya. Cross-Lingual Reverse Dictionary using Multilingual mBART and mT5 Models. In Proceedings of 7th International Conference on Intelligent Technologies (ICIT – 2022), 16 - 18 December 2022 at University of Pembangunan Jaya, Jakarta, Indonesia. 

23. Shivam Doharey, Harsh Goswami, and Santosh Singh Rathore. Polarity Prediction using Automatic Semantic Analysis on User Comments. 2nd International Conference on Computer Vision and Machine Intelligence, CVMI-2023, held on 10-11 Dec 2023 at ABV-IIITM Gwalior.

24. Pranay Gaddam, Oshin Misra, Surabhi Mishra, Santosh Singh Rathore, and Dr.Mahua Bhattacharya. Detection Analysis of Diabetic Retinopathy using Modified DENSNET-121. 2nd International Conference on Computer Vision and Machine Intelligence, CVMI-2023, held on 10-11 Dec 2023 at ABV-IIITM Gwalior.

25. Ganandeep Sandhu, Bhavana Mekala, Lakshmi Nelluri Pavithra Sai, and Santosh Singh Rathore. Fuzzy Inference-based Models for Extractive Text Summarization. 2nd International Conference on Computer Vision and Machine Intelligence, CVMI-2023, held on 10-11 Dec 2023 at ABV-IIITM Gwalior.

26. Devshri Satyarthi, Devshri Satyarthi, Karamveer Arya, and Santosh Singh Rathore. Weed Detection Using AlexNet in Sesame Crops. 2nd International Conference on Computer Vision and Machine Intelligence, CVMI-2023, held on 10-11 Dec 2023 at ABV-IIITM Gwalior.

27. Abhishek Pratap Singh, Debanjan Sadhya, and Santosh Singh Rathore. Fast similarity search in large-scale Iris databases using high-dimensional hash. 11th International Conference on Big Data and Artificial Intelligence, BDA-2023, held on 07-109 Dec 2023 at IIIT Delhi.

28. Devshri Satyarthi, K V Arya, Santosh Singh Rathore, and Richa Mishra. Analysis of Tomato Leaf Disease Detection Models. 8th International conference on Intelligent Technologies (ICIT – 2023) held on 15 - 17 December 2023 at the University of Matana, Jakarta, Indonesia.

29. Anurag Yadav and Santosh Singh Rathore. A Hierarchical Attention Networks based Model for Bug Report Prioritization. 17th Innovations in Software Engineering Conference (ISEC 2024), 22-24 Feb, 2024, Bangalore, India.