Bio-Sketch

Dr. Manoj Kumar has been serving as professor (CSE) at NSUT (east campus) Geeta colony Delhi (formerly ambedkar institute of advanced communication technologies and research govt of nct of delhi) since march 2014 he has also been serving third term as HOD(CSE) since june 2021 he completed be (Computer Science and Engineering) in 1996 from Bipin Tripathi Kumaon Institute of Technology an autonomous institute of govt of uttrakhand (formerly kumaon engineering college dwarahat) he completed Mtech(Information Systems) in 2002 from Netaji Subhas University of Technology (formerly netaji subhas institute of technology university of delhi)he completed PHD(Information Technology) in 2014 from Guru Gobind Singh Indraprastha University Delhi he has more than 25 years of teaching experience he has worked as lecturer(CSE) at SLIET( deemed to be a university established by govt of india) longowal sangrur (punjab) he has published more than 44 research papers in the international journals and conferences of repute two scholars have been awarded PHD degree and also two research scholars have been pursuing PHD under his supervision he has guided eighteen students during their Mtech thesis he has been an expert member of various selection panels and committees constituted by govt of india he has been reviewer for international journals and conferences of repute he is a senior member of IEEE.

International Journal

Tomer M, Kumar M, Hashmi A, Sharma B, Tomer U. Enhancing metaheuristic based extractive text summarization with fuzzy logic. Neural Computing and Applications, Springer, https://doi.org/10.1007/s00521-023-08209-5 (SCI) (Published Online, February 2023).

Chaudhary R, Kumar M. A proposed framework for small group detection in medium density crowd. Telematique, Vol.21(1), pp. 1886-1895, June, 2022(ESCI).

Tomer M, Kumar M. STV-BEATS: Skip Thought Vector and Bi-Encoder based Automatic Text Summarizer. Knowledge-Based Systems, Elsevier, Vol. 240, 108108, March 2022, https://doi.org/10.1016/j.knosys.2021.108108  (SCI).

Singh T, Kumar M. Investigating Requirements Completeness Metrics for Requirements Schemas using Requirements Engineering Approach of Data Warehouse: A Formal and Empirical Validation. Arabian Journal for Science and Engineering, Springer, Vol. 47, pp. 9527–9546, https://doi.org/10.1007/s13369-021-06269-0 , August 2022(SCIE).

Singh T, Kumar M. Empirical study to predict the understandability of requirements schemas of data warehouse using requirements metrics. International Journal of Intelligent Engineering Informatics,Inderscience,Vol.9(4),pp. 329-354, 2021,  https://doi.org/10.1504/IJIEI.2021.120317 (ESCI)(Published online, January 2022).

Tomer M, Kumar M. Multi-document extractive text summarization based on firefly algorithm. Journal of King Saud University-Computer and Information Sciences, Elsevier, https://doi.org/10.1016/j.jksuci.2021.04.004, September 2022(SCIE). Tomer M, Kumar M. Improving Text Summarization using Ensembled Approach based on Fuzzy with LSTM. Arabian Journal for Science and Engineering, Springer, https://doi.org/10.1007/s13369-020-04827-6, December 2020 (SCIE)

Kumar M, Gosain A, Singh Y. A novel requirements engineering approach for designing data warehouses. International  Journal of  System Assurance  Engineering and Management,  7, 205–221, Springer, 2016 (ESCI).

Kumar M, Gosain A, Singh Y. Empirical validation of structural metrics for predicting understandability of conceptual schemas for data warehouse. International Journal of System Assurance Engineering and Management, Springer, Vol. 5(3), pp. 291-306, 2014(ESCI).

Kumar M, Gosain A, Singh Y. On Completeness and Traceability Metrics for Data Warehouse Requirements Engineering. International Journal of Computational Systems Engineering, Inderscience, Vol. 1(4), pp.229-237, 2013.

Kumar M, Gosain A, Singh Y. Quality-Oriented Requirements Engineering Approach for Data Warehouse.  International Journal of Computational Systems Engineering, Inderscience, Vol. 1(2), pp. 127-138, 2012.

Kumar M, Gosain A, Singh Y. Stakeholders Driven Requirements Engineering Approach for Data Warehouse Development. Journal of Information Processing Systems, Vol. 6(3), pp. 385-402, 2010(ESCI)

ACM News Letters

Gaur H kumar m assessing the understandability of a data warehouse logical model using a decisiontree approach software engineering notes acm sigsoft vol39(5) pp15 2014

Singh I Kumar M A proposed model for data warehouse user behaviour using intrusion detection system Software Engineering Notes ACM SIGSOFT Vol 37(6) pp 17 2012

Khajaria K Kumar M Modeling of Security Requirements for Decision Information System ACM SIGSOFT Software Engineering Notes Vol 36(5) pp 14 2011

Kumar M Gosain A Singh Y QualityOriented Requirements Engineering for a Data Warehouse Software Engineering Notes ACM SIGSOFT Vol 36(5) pp 14 2011

Kumar M Gosain A Singh Y Agent Oriented Requirements Engineering for a Data Warehouse Software Engineering Notes ACM SIGSOFT Vol 34(5) pp 1 4 2009

International Conferences

1.    Chaudhary R, Kumar M. Deep Neural Network with Optimal Tuned Weights for Automated Crowd Anomaly Detection. In: International Conference on Innovations in Data Analytics, 29-30 November, 2022, India.

2.    Singh T, Kumar M. Formally Investigating Traceability Metrics of Data Warehouse Requirements Model using Briand's Framework. In: 5th International Conference on Intelligent Computing and Control Systems, 6-8 May, 2021, India.

3.    Singh N, Kumar M. Conceptual Framework for Accident Prone Hotspot Identification and Removal using Historical Data Analytics. In: IEEE 17th India Council International Conference,10-13 December,India,2020.

4.    Singh T, Kumar M. Empirical Validation of Requirements Traceability Metrics for Requirements Model of Data Warehouse using SVM. In: IEEE 17th India Council International Conference, 10-13 December, India, 2020. 

5.    Rakhee, Kumar M. Validation of data warehouse requirements - model traceability metrics using a formal framework. In: Proceedings of 2nd International Conference on Computing for Sustainable Global Development (INDIACom), 216-221, IEEE, 2015.

6.    Kaur A, Kumar M. An intrusive way to detect coordinated attacks using CIDS. In: Proceedings of 2nd International Conference on Computing for Sustainable Global Development (INDIACom), 432- 437, IEEE, 2015.

7.    Sharma R,  Kumar M. Validation of the data warehouse metrics using formal frameworks. In: Proceeding of International Conference on Signal Propagation and Computer Technology, 12-13 July, Ajmer, India, IEEE, pp.239-243, 2014. 

8.    Anand N, Kumar M. An Overview on Data Quality Issues at Data Staging ETL. In: proceedings of 2nd International Conference on Advances in Computer Science and Application, June 21-22, Lucknow, India,  ACEEE, DOI: 03.LSCS.2013.3.47, 2013. 

9.    Singh I, Kumar M. Evaluation of approaches for designing secure data warehouse. In: proceedings of  International Conference on Advances in Computing, Communications, and Informatics  (ICACCI ), Chennai, India, ACM,  pp. 69-73, 2012.

10.    Ingle M, Kumar M. Push Technique based Certificate Revocation Model for mobile devices. In: Proceedings of IEEE International Conference on computational Intelligence and Communication Networks, Gwalior, India, IEEE Computer Society, pp. 635-638, 2011.

11.    Ingle M, Kumar M. Comparative Analysis of Methods for Distribution of Certificate Revocation Information in Mobile Environment. In: Proceedings of International Conference on Communication Systems and Network Technologies, Jammu, India, IEEE Computer Society, pp. 166-169, 2011.

12.    Khajaria K, Kumar M. Evaluation of Approaches for Modeling of Security in Data Warehouses. In: Proceedings of First International Conference on Advances in Computing and Communications, Kochi, India, Springer CCIS, Vol.191, Part-1, pp. 9-18, 2011. 

13.    Saroop S, Kumar M. Comparison of Data Warehouse Design Approaches from User Requirement to Conceptual Model: A Survey. In: Proceedings of International Conference on Communication Systems and Network Technologies, Jammu, India, IEEE Computer Society, pp. 308-312, 2011.

14.    Singh Y, Gosain A, Kumar M. From Early Requirements to Late Requirements Modeling for a Data warehouse. In: Proceedings of International Joint Conference on INC, IMS & IDC ‘NCM09’, Korea, IEEE Computer Society, pp. 798-804.

15.    Singh Y, Gosain A, Kumar M. Evaluation of Agent Oriented Requirements Engineering Frameworks. In: Proceedings of International Conference on Computer Science and Software Engineering ‘CSSE08’, Wuhan, China, IEEE Computer Society, pp. 33-38.

National Conferences

1.    Kumar M, Gosain A. Data Warehouse Development Approach for improving quality of organizational decision making. In: proceedings of the National Conference ‘NCCT-06’, pp.103-106,  DIT, Dehradun, India.

2.    Singh Y, Gosain A, Kumar M. Conceptual Design of a Data Warehouse. In: proceedings of the     National Conference ‘NCCT-06’, pp. 83-86, 2006,  DIT, Dehradun, India.

3.    Singh Y, Kumar M, Gosain A. Data Warehouse Development Approaches: A Comparison. In:     proceedings of the National Conference 'RPIT-04’, pp. 56-59, SLIET, Longowal, India.

4.    Kumar M, Singh K.V, Singh B. Decision Support System: A Conceptual Overview. In: proceedings of the National Conference ‘RPIT-04’, pp. 75-77, SLIET, Longowal, India.

Books/Book Chapters

1.    ‘Web Applications Students Hand Book’ for Class XI  (Vocational IT) published by CBSE in the year  June 2016 authored by  Dr.Manoj Kumar, Dr. Pradeep Kumar, Ms.Manju Khari. 

2.    ‘Web Application Students Hand Book’ for Class XII (Vocational IT) published by CBSE in the year October 2015 authored by  Dr. Manoj Kumar, Dr. Pradeep Kumar, Ms. Manju Khari

3.    Singh, N., Kumar, M. Road Traffic Density Classification to Improvise Traffic System Using Convolutional Neural Network (CNN). In: Mahapatra, R.P., Peddoju, S.K., Roy, S., Parwekar, P. (eds) Proceedings of International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-19-8825-7_34  (First online, March 2023)

4.    Chaudhary R, Kumar M. Computer Vision-Based Framework for Anomaly Detection. In: Kumar R., Mishra B K.,Patnaik PK(eds) Next Generation of Internet of Things. Lecture Notes in Networks and Systems, Vol 201, Springer, Singapore, https://doi.org/10.1007/978-981-16-0666-3_45, 2021. (First online, June 2021).

5.    Tomer M, Kumar M. Question Answering System using LSTM and Keyword Generation. In: Goar V., Kuri M., Kumar R.,Senjyu T.(eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, Vol 135, Springer, Singapore, 2021(First online, August 2020). 

6.    Tomer M, Kumar M. Text Summarization with Different Encoders for Pointer Generator Network. In: Khanna A, Gupta D, Bhattacharyya S, Snasel V, Platos J, Hassanien A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore, 2020.

7.    Tiwari D, Kumar M. Social Media Data Mining Techniques: A Survey. In: Tuba M., Akashe S., Joshi A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933.Springer, Singapore, 2019.

8.    Mani, Suri B.  Kumar M. Performance Evaluation of Data Mining Techniques. In: Mishra D., Nayak M., Joshi A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore, 2018. 

9.    Raychaudhuri K, Kumar M, Bhanu S. A Comparative Study and Performance Analysis of Classification Techniques: Support Vector Machine, Neural Networks and Decision Trees. In: Singh M., Gupta P., Tyagi V., Sharma A., Ören T., Grosky W. (eds) Advances in Computing and Data Sciences. Communications in Computer and Information Science, vol 721. Springer, Singapore, 2017.

10.    Sharma R, Gaur H, Kumar M. Evaluation of Data Warehouse Quality from Conceptual Model Perspective. In: Advances in Intelligent Informatics, EI-Sayed M, EI-Alfy et al.(eds.), Springer, 2015.