2. Publications

Recent Selected Publications:

Journals:


  • L. Purohit, Sandeep Kumar, A Classification Based Web Service Selection Approach, IEEE Trans. on Services Computing, Vol. 14, No.2, pp. 315-328, 2021. SCI Impact Factor: 5.823.

  • D. Kshirsagar, Sandeep Kumar, A feature reduction based reflected and exploited DDoS attacks detection system, Journal of Ambient Intelligence and Humanized Computing, 2021. SCI Impact Factor: 4.594.

  • 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. SCI Impact Factor: 3.325.

  • 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. SCI Impact Factor: 5.942.

  • D. Kshirsagar, Sandeep Kumar, An efficient feature reduction method for the detection of DoS attack, Information and Communication Technology Express, Elsevier, 2021. SCI Impact Factor: 4.317

  • 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. SCI Impact Factor: 1.102.

  • P. R. Bal, Sandeep Kumar, WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction, IEEE Transactions on Reliability, 2020. SCI Impact Factor: 3.359.

  • S. S. Rathore, Sandeep Kumar, An empirical study of ensemble techniques for software fault prediction, Applied Intelligence journal, Springer, pp. 1-30, 2020. SCI Impact Factor: 3.325.

  • 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. SCI Impact Factor: 3.359.

  • 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. SCI Impact Fac. 3.991.

  • N. Baliyan, Sandeep Kumar, SWAQ: A Semantic Web Application Quality Evaluation Framework, Journal of Experimental & Theoretical Artificial Intelligence. Taylor and Francis, In Press, 2018. SCI Impact Factor: 1.011

  • 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, SCI Impact Fac.: 1.57

  • 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. SCI Impact Factor: 1.153

  • S. S. Rathore, Sandeep Kumar, A Study on Software Fault Prediction Techniques, Artificial Intelligence Review Journal, Springer, pp. 1-73, available online, 2017. SCI Impact Factor: 2.627

  • 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. SCI Impact Factor: 4.627

  • 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. SCI Impact Factor: 1.153

  • 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. SCI Impact Factor: 1.530

  • 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. SCI Impact Factor: 4.627

  • 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. SCI Impact Factor: 3.928

  • 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. SCI Impact Factor: 1.50

  • 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. SCI Impact Factor: 1.589

  • 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. SCI Impact Factor: 2.472

  • 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, 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. 13th 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. 13th 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. 13th 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. 13th 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, 11th 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@ 25th 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 16th 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 2nd International Conference on Information and Communication Technology for Competitive Strategies (ICTCS), India, pp. 1-4, 2016.

Patents/IPR: 06

Books- 03