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Dr. Santosh Singh Rathore

Dr. Santosh Singh Rathore

Assistant Professor

Email: santoshs@iiitm.ac.in


Experience: 7 years


Address:

Room No. 115, D-Block, ABV-IIITM, Morena Link Road, Gwalior-474015 (M.P.)


Personal Web Page: https://sites.google.com/site/santoshiiitmdj/home?


Dr. Santosh Singh Rathore

Biography

 

Dr. Santosh Singh Rathore is an Assistant Professor of the Department of Computer Science and Engineering at ABV- Indian Institute of Information Technology, Gwalior. Office: Block-V, 115, Email: santoshs@iiitm.ac.in, Number of PhD Students Graduated: 00, Number of M. Tech. Graduated: 32, Number of Publications: 29 (Journals), 30 (Conferences), h-index: 22, i10 index: 28, Number of Projects: 04, Number of Keynote/Invited Talks Delivered: 12, Number of Committee Memberships: 02

Area of specialization(s): Software Engineering, Applied Machine Learning, Object-Oriented Software Development, Web-Services

Other Details


 

Number of M. Tech. Graduated: 32,

Number of Publications: 29 (Journals), 30 (Conferences),

h-index: 22, i10 index: 28, Number of Projects: 04,

 Number of Keynote/Invited Talks Delivered: 12,

Number of Committee Memberships: 02

Office: 115, Block-V, ABV-IIITM

Academic Qualifications


 

Degree

Year

Subject

University/Institution

PhD

2017

Computer Science and Engineering

Indian Institute of Technology Roorkee

M. Tech.

2012

Computer Science and Engineering

PDPM IIITDM Jabalpur

B.E.

2010

Computer Science and Engineering

R G P V University Bhopal

Research Interests


 

Software Engineering, Applied Machine Learning, Object-oriented Software Development, Software Quality Assurance, Predictive Modeling.

Selected Publications: (Up to 10 Journals/Conferences)


 

1.Akshat Mangal and Santosh Singh Rathore, “ATE-FS: An Average Treatment Effect-Based Feature Selection Technique for Software Fault Prediction,” In ACM Transactions on Intelligent Systems and Technology, DOI: https://doi.org/10.1145/3716857.

2.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.

3.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.

4.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.

5.Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, and Santosh S. Rathore, "Open-world Machine Learning: Applications, Challenges, and Opportunities," In ACM Computing Survey, Vol. 55, issue 10, pp. 1-37, 2022.

6.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.

7. 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.

8.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, Vol. 30, issue 6, pp. 1683-1700, 2022, Wiley.

9. 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.

10.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.

Research Lab(s)


 

Software Engineering Lab

Competitive Grant(s)


 

Sl

Grant (Project/ Consultancy)

Funding Agency

PI/Co-PI

1

Artificial Intelligence Enabled Dialogue based Online Medical System Development for Precision Healthcare

SERB, DST

PI

2

Inferring High-level Code Similarities in Software System using String-Metric based Hybrid Technique

TEQIP, NIT Jalandhar

Co-PI

3

AUTOEMR: An AI-based System for Generating Structured Medical Information

TIIC, ABV-IIITM Gwalior

PI

4

Design of NextGen Hearing Aids

TIIC, ABV-IIITM Gwalior

Co-PI

Faculty Development / Management Development / Workshops / Conferences


 

SN

Title

Period

Sponsoring Organization

Venue

From

To

1.

Conference Chair in CVMI-2023

09/12/2023

10/12/2023

IEEE

ABV-IIITM Gwalior

2.

Coordinator, Karyashala High-end workshop (SERB)

27/02/2023

05/03/2023

DST

ABV-IIITM Gwalior

3

Organization chair, NLPaSE’20 workshop at 27th APSEC 2020 conference

01/12/2020

01/12/2020

Self

APSEC 2020, Singapore

4

Organization chair, NLPaSE’21 workshop at 28th APSEC 2021 conference

06/12/2021

06/12/2021

Self

APSEC 2021, Taiwan

5

Organization chair workshop on emerging software engineering education series (WESEE’20,21,22,23,24,25)

--

--

Self

Innovations in Software Engineering (ISEC) conference

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