Recent Selected Publications:

Journals:

L. Purohit, S. S. Rathore, Sandeep Kumar, A QoS-Aware Clustering based Multi-layer Model for Web Service Selection, IEEE Transactions on Services Computing, published online, pp. 1-14, 2023. 

A. K. Gangwar, Sandeep Kumar, Concept Drift in Software Defect Prediction: A Method for Detecting and Handling the Drift, ACM Transactions on Internet Technology, 23 (2), pp. 1-28, 2023. 

A. Omer, S. S. Rathore, Sandeep Kumar, ME-SFP: A Mixture of Experts based Approach for Software Fault Prediction, IEEE Transactions on Reliability, published online, pp. 1-16, 2023. 

P.R. Bal, Sandeep Kumar, A Data Transfer and Relevant Metrics Matching based Approach for Heterogeneous Defect Prediction, IEEE Transactions on Software Engineering, Vol. 49, No. 3, pp. 1232-1245, 2023. 

S. Shukla and Sandeep Kumar, Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development, IEEE Transactions on Engineering Management, pp. 1-17, 2022, published online

L. Purohit, S. S. Rathore, Sandeep Kumar, Feature Selection and Clustering based Web Service Selection using QoSs, Applied Intelligence Journal, available online, pp. 1-26, 2022. 

S. Shukla and Sandeep Kumar, Know-UCP: Locally Weighted Linear Regression-based Approach for UCP Estimation, Applied Intelligence, Springer, pp. 1-17, 2022, Available online.

Sumit, K. Kumar, Sandeep Kumar, L.K. Singh, A. Mishra, Predicting Reliability of Software in Industrial Systems using a Petri net based Approach: A Case Study on a Safety System used in Nuclear Power Plant (NPP), Information and Software Technology, Elsevier, 146, 106895, 2022. 

S. Shukla, Sandeep Kumar, Towards Non-Linear Regression-based Prediction of Use Case Point (UCP) Metric, Applied Intelligence Journal, Springer, available online pp. 1-14, 2022. 

C. Catal, G. Girey, B. Tekinerdogan, Sandeep Kumar, S. Shukla, Applications of deep learning for phishing detection: a systematic literature review, Knowledge and Information Systems, Springer, 64, 1457-1500, 2022. 

·   D. Kshirsagar, Sandeep Kumar, Towards an intrusion detection system for detecting web attacks based on an ensemble of filter feature selection techniques, Cyber-Physical Systems, Taylor and Francis, available online, pp. 1-15,  2022. 

·     P. R. Bal, Sandeep Kumar, RELMP-MM: an approach to cross project fault prediction using improved regularized extreme learning machine and identical matched metrics, Journal of Ambient Intelligence and Humanized Computing, published online, pp. 1-20, 2022. 

S. Shukla and Sandeep Kumar, Towards Ensemble-based Use Case Point Prediction, Software Quality Journal, Springer, pp. 1-22, 2022, published online.

    N. Singh, S.S. Rathore, Sandeep Kumar, Towards a Super-resolution based Approach for Improved Face Recognition in Low Resolution Environment, Multimedia Tools and Applications, Vol. 81, Issue 27, pp. 38887-38919, 2022.

    L. Purohit, Sandeep Kumar, A Classification Based Web Service Selection Approach, IEEE Trans. on Services Computing, Vol. 14, No.2, pp. 315-328, 2021. 

D. Kshirsagar, Sandeep Kumar, A feature reduction based reflected and exploited DDoS attacks detection system, Journal of Ambient Intelligence and Humanized Computing, 2021.

S. S. Rathore, Sandeep Kumar, Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study, Applied Intelligence journal, Springer, pp. 1-16, 2021.

L. Purohit, Sandeep Kumar, A study on evolutionary computing based web service selection techniques, Artificial Intelligence Review journal, Springer, pp. 1117-1170, available online, 2021.

D. Kshirsagar, Sandeep Kumar, An efficient feature reduction method for the detection of DoS attack, Information and Communication Technology Express, Elsevier, 2021.

A. Agarwal, Sandeep Kumar, D. Singh, An Adaptive Technique to Detect and Remove Shadow from Drone Data, Journal of the Indian Society of Remote Sensing, Vol. 48, No. 3, pp. 491-498, 2021.

P. R. Bal, Sandeep Kumar, WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction, IEEE Transactions on Reliability, 2020.

S. S. Rathore, Sandeep Kumar, An empirical study of ensemble techniques for software fault prediction, Applied Intelligence journal, Springer, pp. 1-30, 2020. 

A. Agarwal, Sandeep Kumar, D. Singh. "Development of Neural Network Based Adaptive Change Detection Technique for Land Terrain Monitoring with Satellite and Drone Images." Defence Science Journal 69, no. 5, pp. 474-480, 2019.

S. S. Rathore, Sandeep Kumar, An Approach for the Prediction of Number of Software Faults based on the Dynamic Selection of Learning Techniques, IEEE Transactions on Reliability, Vol. 68, Issue 1, pp. 216-236, 2019.

A. Jain, Sandeep Kumar, FriendShare : A Secure and Reliable Framework for File Sharing on Network, Journal of Network and Computer Applications, Elsevier, Vol. 120, Oct. 2018. 

N. Baliyan, Sandeep Kumar, SWAQ: A Semantic Web Application Quality Evaluation Framework, Journal of Experimental & Theoretical Artificial Intelligence. Taylor and Francis, In Press, 2018.

G.R. Chaudhary, Sandeep Kumar, K. Kumar, A. Mishra, C. Catal, Empirical Analysis of Change Metrics for Software Fault Prediction, Computer and Electrical Engineering Journal, Elsevier, Vol. 67, 2018.

L. Purohit, Sandeep Kumar, Web Services in the IoT and Smart Cities: A study on Web Service classification, IEEE Consumer Electronics Mag., In Press, 2017. 

S. S. Rathore, Sandeep Kumar, A Study on Software Fault Prediction Techniques, Artificial Intelligence Review Journal, Springer, pp. 1-73, available online, 2017.

D. Varshney, Sandeep Kumar, V. Gupta, Predicting Information Diffusion Probabilities in Social Networks: a Bayesian Networks based approach, Knowledge Based Systems, Elsevier, available online, 2017. 

Sumit, Sandeep Kumar, K. Kumar, L. K. Singh, Evaluating Technologies for Reliable Software in Consumer Electronics: Survey of Component Failure Modeling based System Reliability Prediction Models, IEEE Consumer Electronics Mag., In Press, 2017. 

S. Gupta, P. Mishra, D. Singh, Sandeep Kumar, An Approach to Classify Tall Vegetation and Urban Using Deoriented PALSAR Image, IEEE Geoscience and Remote Sensing Letters, Available online, 2017. SCI Impact Factor: 2.761

Pravas Ranjan Bal, Sandeep Kumar, Parametric and Non-Parametric Software Reliability Prediction Models, IEEE Reliability, In Press, 2017.

Sandeep Kumar, Research-oriented Teaching of PDC Topics in Integration with Other Undergraduate Courses at Multiple Levels: A Multi-Year Report, Journal of Parallel and Distributed Systems, Elsevier, available online, tentatively in Vol. 105, 2017. SCI Impact Factor: 1.976

S. Gupta, D. Singh, Sandeep Kumar, Fusion of Texture and Wavelet Features of PALSAR Image using LDA and PCA for land cover classification, Int. Journal of Image and Data Fusion, Taylor and Francis, available online, 2017.

S. Shrivastav, Sandeep Kumar, K. Kumar, Towards an ontology based framework for searching multimedia contents on the web, Multimedia Tools and Applications, springer, available online, pp. 1-30, 2017. 

Santosh S. Rathore and Sandeep Kumar, Linear and Non-Linear Heterogeneous Ensemble Methods to Predict the Number of Faults in Software Systems, Knowledge-Based Systems, vol. 119, pp. 232-256, Elsevier, 2017. 

Santosh S. Rathore and Sandeep Kumar, Towards an Ensemble based System for Predicting the Number of Software Faults, Expert System with Applications, vol. 82, pp. 357-382, Elsevier, 2017.

N. Baliyan, S. Sukalikar, Sandeep Kumar, Ontology Cohesion and Coupling Metrics, International Journal on Semantic Web and Information Systems, IGI, Vol. 13, Issue 4., pp. 1-26, 2017. 

Santosh S. Rathore and Sandeep Kumar, A Decision Tree Logic based Recommendation System to Select Software Fault Prediction Techniques, Computing, vol. 99, no. 3, pp. 255-285, Springer, 2016. 

Santosh S. Rathore and Sandeep Kumar, An Empirical Study of Some Software Fault Prediction Techniques for the Number of Faults Prediction, Soft Computing, pp. 1-18, Springer, DOI 10.1007/s00500-016-2284-x, 2016. 

Santosh S. Rathore and Sandeep Kumar, A Decision Tree Regression based Approach for the Number of Software Faults Prediction, ACM SIGSOFT Software Engineering Notes, vol. 41, no. 1, pp. 1-6, 2016.

N. Baliyan, Sandeep Kumar, A Hierarchical Fuzzy System for Quality Assessment of Semantic Web Application as a Service, ACM Software engineering Notes, vol. 41, no. 1, pp. 1-7, 2016.

N. Baliyan, Sandeep Kumar, Towards measurement of structural complexity for ontologies, International Journal of Web Engineering and Technology, Vol.11, No.2, pp.153 – 173, 2016.

Conferences:

S. Shukla, Sandeep Kumar, Self-Adaptive Ensemble-based Approach for Software Effort Estimation, 30^th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2023), pp. 581-592, 2023. CORE: A Ranked.

S. Shukla, Sandeep Kumar, Towards Automated Prediction of Software Bugs from Textual Description, 18^th Int. Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), 2023. CORE/ERA: B Ranked.

A. Swaraj, Sandeep Kumar, Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN, 18^th Int. Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), 2023. CORE/ERA: B Ranked

A. Swaraj, Sandeep Kumar, A Methodology for Detecting Programming Languages in Stack Overflow Questions, Int. Conf. on Software Technologies (ICSOFT), Portugal, 2022. ERA/ CORE: B Ranked

S. Shukla, Sandeep Kumar, An Extreme Learning Machine based Approach for Software Effort Estimation, 16th Int. Conf. on Evaluation of Novel Approaches to Software Engineering (ENASE), 2021. ERA: B Ranked

S. Shukla, Sandeep Kumar, A Stacking Ensemble-based Approach for Software Effort Estimation, 16th Int. Conf. on Evaluation of Novel Approaches to Software Engineering (ENASE), 2021. ERA: B Ranked

L. Purohit, Sandeep Kumar, Replaceability based Web Service Selection Approach, 26th IEEE Int. Conf. on High Performance Computing, Data and Analytics (HiPC), pp. 1-10, 2019. ERA: A Ranked.

L Purohit, Sandeep Kumar, Clustering based Approach for Web Service Selection using Skyline Computations, IEEE Int. Conf. on Web Services (IEEE ICWS), Italy, pp. 260-264, 2019. ERA: A Ranked.

D. Kshirsagar, Sandeep Kumar, Identifying Reduced Features based on IG-Threshold for DoS Attack Detection using PART, 16th International Conf. on Distributing Computing and Internet Technology (ICDCIT), pp. 411-419, 2020. ERA: C Ranked.

S. Shukla, Sandeep Kumar, Applicability of Neural Network based Models for Software Effort Estimation, IEEE World Congress on Services (IEEE SERVICES), 2019. ERA: B Ranked

S. Shukla, Sandeep Kumar, P. R. Bal, Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation, IEEE World Congress on Services (IEEE SERVICES), 2019. ERA: B Ranked

A Agarwal, Sandeep Kumar, D. Singh. Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5832-5835. IEEE, 2019. ERA-C, Qualis-B1 Ranked

D. Dixit, Sandeep Kumar, Investigating the Effect of Software Metrics Aggregation on Software Fault Prediction, Proc. 13^th Int. conf. on Software Technologies (ICSOFT), Portugal, 2018. ERA-B ranked.

P. R. Bal, Sandeep Kumar, Cross Project Software Defect Prediction Using Extreme Learning Machine : An Ensemble based Study, Proc. 13^th Int. conf. on Software Technologies (ICSOFT), Portugal, 2018. ERA-B ranked.

P. R. Bal, Sandeep Kumar, Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction, Proc. 13^th Int. conf. on Software Technologies (ICSOFT), Portugal, 2018. ERA-B ranked.

S. Sharma, Sandeep Kumar, Analysis of Ensemble Models for Aging Related Bug Prediction in Software Systems, Proc. 13^th Int. conf. on Software Technologies (ICSOFT), Portugal, 2018. ERA-B ranked.

S. S. Rathore and Sandeep Kumar, Improved Safety and Reliability of Software Systems: Software Fault Prediction Perspective, 5th Global Conference on Cyber Space (GCCS), Delhi, India, 2017. Poster. Internationally prestigious event with participation from 135+ countries.

D. Kshirsagar, Sandeep Kumar, Improving Network Security: Exploring the Use of Ontology for Detection of HTTP Response Splitting Attack, 5th Global Conference on Cyber Space (GCCS), Delhi, India, 2017.Poster. Internationally prestigious event with participation from 135+ countries. (Best Technical Poster Award)

V. Kapoor, V. Raychoudhary, Sandeep Kumar, D. Saxena, Real Time Building and Maintaining Causal Congestion Graph for Intelligent Traffic Management, Proc. of Third IEEE International Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transportation Systems (IEEE PerAwareCity) IEEE PerCom Workshops. Athens, Greece, 2018. (PerCom is ERA-A conference).

Santosh S. Rathore and Sandeep Kumar, Ensemble Methods for the Prediction of Number of Faults: A Study on Eclipse Project, In IEEE proceedings of the 11th International Conference on Industrial and Information Systems (ICIIS’16), IIT Roorkee, India, pp. 1-6, 2016.

Lalit Purohit, Sandeep Kumar, Exploring K-Means Clustering and skyline for Web Service Selection, In IEEE proceedings of the 11th International Conference on Industrial and Information Systems (ICIIS’16), IIT Roorkee, India, 2016.

Lalit Purohit, Sandeep Kumar, Web Service Selection using Semantic Matching, In ACM Proceedings of International Conference on Advances in Information Communication Technology & Computing (AICTC-16), India, pp 1-5, 2016.

D. Kshirsagar, Sandeep Kumar, HTTP Flood Attack Detection using Ontology, In ACM Proceedings of International Conference on Advances in Information Communication Technology & Computing (AICTC-16), India, pp 1-4, 2016.

B. N. Vidyashree, Sandeep Kumar, An e-learning Environment using Automated Development of Domain Ontology, 11^th International Conference on e-learning (ICEL-2016), Malaysia, pp. 209-218, 2016.

S. Gupta, Sandeep Kumar, A. Garg, D. Singh, N. S. Rajput, Class-wise optimal feature selection for land cover classification using SAR Data, Proc. IEEE Geoscience and Remote Sensing Symposium, China, July, 2016. (ERA-C, Qualis- B1)

Vikrant Yadav, Sandeep Kumar, Learning Web Queries for Retrieval of Relevant Information about an Entity in a Wikipedia Category, Proc. of Wiki@ 25^th ACM World Wide Web (WWW) conference Workshops, Canada, pp. 1013-104, 2016. (WWW is ERA level-A, Qualis- A1).

S. S. Rathore, Sandeep Kumar, Predicting Number of Faults in Software System using Genetic Programming, Procedia Computer Science, Elsevier, Int. Conf. on Soft Computing and Software Engineering (SCSE), UC Berkeley USA, no. 62, pp. 303-311, 2015. Scopus, DBLP, Thomson Reuters.

S. Gupta, D. Singh, Sandeep Kumar, K. P. Singh, An Efficient use of random forest techniques for SAR data classification, Proc. IEEE Geoscience and Remote Sensing Symposium, Italy, July 2015. (ERA-C, Qualis- B1)

P. Gupta, Sandeep Kumar, K. Jaidka, Summarizing Customer Reviews through Aspects and Contexts, Proc. Of 16^th Int. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing 2015), Egypt, LNCS, Springer, pp. 241-256, 2015. CPC/Thomson Reuters, DBLP, Google Scholar. (ERA level-B, Qualis- B1)

S. S. Rathore, Sandeep Kumar, Comparative Analysis of Neural Network and Genetic Programming For Number of Software Faults Prediction, In the proceeding of IEEE National Conference on Recent Advances in Electronics & Computer Engineering (RAECE 2015), IIT Roorkee, India, 2015.

N. Baliyan, Sandeep Kumar, A Behavioral Metrics Suite for Modular Ontologies, ACM 2^nd International Conference on Information and Communication Technology for Competitive Strategies (ICTCS), India, pp. 1-4, 2016.

Patents/IPR: 06

Books- 03