Computer Science & Engineering

Patent

Consultancy

S.No.	Department	Project Name	Year	Amount
1.	Computer Science & Engineering	CUET Examination Centre.	2022-23	2 Lacs

Project

S.No.	Title of Project	Sponsoring Agency	Amount	Status	Investigators
1.	“Development and Analysis of Cancelable Biometric Template Generation for Per Person Identification”	Uttarakhand State Council for Science and Technology (UCOST)	2.09 Lacs	Completed	Dr. Nitin Kumar
2.	Secret Sharing Scheme Based Technology for Multimedia Security over Cloud	DST, Govt. of India	40 Lacs	Ongoing	Dr. Krishan Kumar

Publications

Journals (SCI/SCIE/Other)

S.No.	Details
2023
1.	Bhawana Parihar, Maroti Deshmukh, Arjun Singh Rawat, “Efficient Single Secret Image Sharing in Resource-Constrained Environment using Counting-Based Secret Sharing over Cloud” Procedia Computer Science, [SCOPUS] 2023
2.	Baldivya Mitra, Maroti Deshmukh, Abhimanyu Kumar, “A Novel Approach for Single-Shot Target Recognition by Matching Graph of Feature Pixels” Procedia Computer Science, [SCOPUS] 2023
3.	Baldivya Mitra, Maroti Deshmukh, Abhimanyu Kumar, “Analysis of Deep Learning based Models for Automatic Target Recognition using Synthetic Aperture Radar Imagery” International Journal of Intelligent Systems Technologies and Applications, [SCOPUS] 2023
4.	Maroti Deshmukh, Arjun Singh Rawat, “Secure Key Sharing Scheme using Hamiltonian Path” International Journal of Information Technology, International Journal of Information Technology [SCOPUS] 2023
5.	Maroti Deshmukh, Arjun Singh Rawat, “Lightweight Symmetric Key Encryption for Text using XOR Operation and Permutation Matrix", International Journal of Information Technology [SCOPUS] 2023
6.	Maroti Deshmukh, Arjun Singh Rawat, “Image and Object Encryption using Multiplicative Cipher and K-Means Clustering Algorithm", International Journal of Applied Cryptography [SCOPUS] 2023
7.	Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, “Natural Shares based Lightweight (n, n) Single Secret Image Sharing Scheme using LSB Stuffing for Medical Images", Journal of Supercomputing [SCI] 2023
8.	Maroti Deshmukh, Arjun Singh Rawat, Maheep Singh, “Secure Key Exchange Protocol using Graph and Trusted Third Party", Journal of Supercomputing [SCI] 2023
9.	Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, “A Novel Multi Secret Image Sharing Scheme for Different Dimension Secrets", Multimedia Tools and Applications [SCI] 2023
10.	Dinesh Pande, Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, “Single Secret Sharing Scheme using Chinese Remainder Theorem, Modified Shamir's Scheme and XOR Operation", Wireless Personal Communications [SCI] 2023
11.	Baldivya Mitra, Maroti Deshmukh, Abhimanyu Kumar, “A Novel Approach for Single-Shot Target Recognition by Matching Graph of Feature Pixels", Procedia Computer Science [SCI] 2023
12.	Sachin Choudhary, Abhimanyu Kumar, Krishan Kumar, “PKIF-AKA: A Public Key Infrastructure Free Authenticated Key Agreement Protocol for Smart Grid Communication", IETE Journal of Research [SCIE] 2023
13.	Baldivya Mitra, Maroti Deshmukh, Abhimanyu Kumar, “Analysis of Deep Learning based Models for Automatic Target Recognition using Synthetic Aperture Radar Imagery", International Journal of Intelligent Systems Technologies and Applications [Scopus] 2023
14.	Shubhashish Goswami and Abhimanyu Kumar, “A transformative deep learning framework for traffic modelling using sensors-based multi-resolution traffic data", International Journal of Sensor Networks [SCI] 2023
15.	Aditi Kar Gangopadhyay, Tanay Sheth & Sneha Chauhan, “LAD in finance: accounting analytics and fraud detection", Advances in Computational Intelligence [Other] 2023
16.	S. Singh, “A Systematic Review on Security Aware Real-Time Task Scheduling", Sustainable Computing: Informatics and Systems [SCIE] 2023
2022
1.	Soni Chaurasia, Kamal Kumar, “EEMOR: Energy Efficient Metaheuristic Opportunistic Routing protocol for WSNs,” in Ad Hoc & Sensor Wireless Networks. [Accepted], [SCIE, SCOPUS], [IF 0.40] [ISSN: 1551-9899]
2.	Kamal Kumar et al., “Improving Virtual Machine Migration Effects in Cloud Computing Environments Using Depth First Inspired Opportunity Exploration,” in International Journal of Cloud Applications and Computing (IJCAC) Volume 12, Issue 1, 2022 (Accepted)
3.	Soni Chaurasia, Kamal Kumar, “MOCRAW: A Meta-Heuristic Optimized Cluster Head Selection based Routing Algorithm for WSNs,” in Ad Hoc Networks (SCI) (Accepted, 2022) (SCI, SCOPUS) [ISSN: 1570-8705] [IF: 4.816]
4.	Kamal Kumar et al., “Lane Detection in Lousy Lighting Conditions through Context Learning and Bayesian Optimization,” in CMC-Computers, Materials & Continua, Tech Science Press. (SCI, Accepted, 2022) [ISSN:1546-2218(print)] [SCI][IF:3.861]
5.	Kamal Kumar et al, "Partially visible lane detection with hierarchical supervision approach," IETE Journal of Research, May 2022, DOI: 10.1080/03772063.2022.2069602 (SCI, SCOPUS). [ISSN 3772063,IF. 1.60]
6.	Kamal Kumar, Sandeep Chand Kumain, "Quantifying Salt and Pepper Noise Using Deep CNN", in Journal of The Institution of Engineers (India): Series B, April 2022, India. (SCOPUS). https://doi.org/10.1007/s40031-022-00729-3 [ISSN 2250-2106, IF 0.173] Doi: 10.1007/s40031-022-00729-3
7.	Kapil, Nitin Kumar, Neha Goyal. Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification, Multimedia Tools and Applications, Springer, Published Online, Apr. 2022, DOI: https://doi.org/10.1007/s11042-022-12825-z (SCI-E, IF 2.577)
8.	N Goyal, Kapil Gupta, Nitin Kumar, Clustering based Hierarchical Framework for Multi-class Classification of Leaf Images, IEEE Transactions on Industry Applications, vol. 58, no. 3, pp. 4076-4085, May-June 2022, DOI: https://doi.org/10.1109/TIA.2022.3153757 (SCI-E, IF 4.079)
9.	Vivek Kumar Singh, Nitin Kumar, CoBRa: Convex Hull based Random Walks for Salient Object Detection, Multimedia Tools and Applications, Springer, Published Online, Apr. 2022, DOI: https://doi.org/10.1007/s11042-022-12470-6 (SCI-E, IF 2.577)
10.	Manisha, Nitin Kumar, CBRW: Cancelable Biometric Template Generation based on 1-D random Walks, Applied Intelligence, Springer, Published Online, Mar. 2022, DOI: https://doi.org/10.1007/s10489-022-03215-x (SCI-E, IF 5.019)
11.	Manisha, Nitin Kumar. CBRC : A Novel Approach for Cancelable Biometric Template Generation using Random Permutation and Chinese Remainder Theorem, Multimedia Tools and Applications, Springer, vol. 81, pp. 22027 – 22064, June 2022, DOI: https://doi.org/10.1007/s11042-021-11284-2 (SCI-E, IF - 2.577)
12.	Neha Goyal, Nitin Kumar, Kapil, Lower Dimensional Intrinsic Structural Representation of Leaf images and Plant Recognition, Signal Image and Video Processing, Springer, vol. 16, pp. 203-210, 2022. DOI: https://doi.org/10.1007/s11760-021-01983-6 (SCI-E, IF – 1.583)
13.	Krishan Kumar, Kunal Patange, Pushkar Pete, Manjiri Wankhade, Arpitrama Chatterjee, Manish Kurhekar, Power and Energy-efficient VM scheduling in OpenStack Cloud Through Migration & Consolidation using Wake on LAN, IETE Journal of Research, March 2022. [DOI]
14.	Aditya Mantri, Navjot Singh, Krishan Kumar, Sanjay Dahiya, Pre-Encryption and Identification (PEI): An Anti-crypto ransomware technique, IETE Journal of Research, February 2022. [DOI]
15.	Krishan Kumar, Abhya Mishra, Sanjay Dahiya and Ajay Kumar, A Technique for Human Upper Body Parts Movement Tracking, IETE Journal of Research, February 2022.[DOI]
16.	Krishan Kumar, P. Nishant, Maheep Singh, Sanjay Dahiya, Image Encoder & Sentence Decoder based Description Generating Model: Storytelling, IETE Journal of Education, February 2022. [DOI]
17.	Krishan Kumar, DEAF-BSL: Deep lEArning Framework for British Sign Language recognition, ACM Transactions on Asian and Low-Resource Language Information Processing, January 2022. [DOI]
18.	Chauhan, S., Gangopadhyay, S. (2022). Design of Intrusion Detection System Based on Logical Analysis of Data (LAD) Using Information Gain Ratio. In: Dolev, S., Katz, J., Meisels, A. (eds) Cyber Security, Cryptology, and Machine Learning. CSCML 2022. Lecture Notes in Computer Science, vol 13301. Springer, Cham. https://doi.org/10.1007/978-3-031-07689-3_4.
19.	Coordinator, Five Day Faculty Development Programme on Research Trends in Security and Computing at National Institute of Technology Uttarakhand from 28 February to 4 March 2022 in online mode.
2021
1.	Shiv Naresh Shivhare; Nitin Kumar, Tumor Bagging: A Framework for Brain Tumor Segmentation using Meta-Heuristic Optimization Algorithms, Multimedia Tools and Applications, Springer, vol. 80, pp. 26969 – 26995, 2021, DOI: https://doi.org/10.1007/s11042-021-10969-y (SCI-E, IF - 2.577)
2.	Vivek Kumar Singh, Nitin Kumar. SOFT: Salient Object detection based on Feature combination using Teaching-learning-based optimization, Signal, Image and Video Processing, Springer, vol. 15, pp. 1777-1784, 2021, DOI: https://doi.org/10.1007/s11760-021-01917-2 (SCI-E, IF – 1.583)
3.	Vivek Kumar Singh, Nitin Kumar. CHELM: Convex Hull based Extreme Learning Machine for Salient Object Detection, Multimedia Tools and Applications, Springer, vol. 80, pp. 13535 – 13558, 2021, DOI: https://doi.org/10.1007/s11042-020-10374-x (SCI-E, IF - 2.577)
4.	Neha Goyal, Nitin Kumar, Kapil, On Solving leaf classification using linear regression, Multimedia Tools and Applications, Springer, vol. 80, pp. 4533 – 4551, 2021, DOI: https://doi.org/10.1007/s11042-020-09899-y (SCI-E, IF - 2.577
5.	Suresh Madhavan, Nitin Kumar*, Incremental Methods in Face Recognition: A Survey, Artificial Intelligence Review, Springer, vol. 54, pp. 253 – 303, 2021, DOI: https://doi.org/10.1007/s10462-019-09734-3 (SCI - IF 9.588)
6.	Krishan Kumar, P2BED-C: a novel Peer to Peer load Balancing and Energy eﬃcient technique for Data-centers over Cloud, Wireless Personal Communications, September 2021. [DOI]
7.	Anshuman Darbari, Krishan Kumar, Shubhankar Darbari, Prashant L. Patil, Requirement of artificial intelligence technology awareness for thoracic surgeons, The Cardiothoracic Surgeon, July 2021. [DOI]
8.	Aditya Vijayvergia, Krishan Kumar, Selective shallow models strength integration for emotion detection using GloVe and LSTM, Multimedia Tools and Applications, June 2021. [DOI]
9.	Shikhar Sharma, Krishan Kumar, ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks, Multimedia Tools and Applications, May 2021. [DOI]
10.	Krishan Kumar, Text Query based Summarized Event Searching Interface System using Deep Learning over Cloud, Multimedia Tools and Applications, January 2021.[DOI]
11.	Singh, S., Pal S., “SDTS: Security Driven Task Scheduling algorithm for Real-Time Applications using Fog Computing”, IETE Journal of Research, 1-20, (2021). https://doi.org/10.1080/03772063.2021.2010608, SCI-Expanded, Impact Factor – 2.33
2020
1.	Kamal Kumar, Rajeev Tiwari, Prem Kumar, “ARIOR: Adaptive Ranking based Improved Opportunistic Routing in Wireless Sensor Networks,” in Wireless Personal Communication, Springer. Accepted (SCI, SCOPUS) August 2020 [ISSN 1572-834X, IF. 1.671]
2.	Kamal Kumar et al, “Opportunistic Two VM Placements in Distributed Cloud Environment,” in International Journal of Grid and High Performance Computing, IGI Global Publishers, US, Vol. 12, Issue 4, Article 2, pp. 13-35.{SCOPUS, ESCI} [ISSN 1938-0259, IF 0.973] DOI: 10.4018/IJGHPC.2020100102
3.	Sachin Sharma, Kamal Kumar and Sandip Kumar Goyal, “An Approach for Implementation of Cost Effective Automated Data Warehouse System,” in International Journal of Computer Information Systems and Industrial Management Applications, Volume 11 (2019) pp. 242-254. Volume 12 (2020) pp. 033-045 {SCOPUS} [ISSN 2150-7988, IF 1.424] DOI:
4.	Sachin Sharma, Kamal Kumar and Sandip Kumar Goyal, “An Approach for Implementation of Cost Effective Automated Data Warehouse System,” in International Journal of Computer Information Systems and Industrial Management Applications, Volume 11 (2019) pp. 242-254. Volume 12 (2020) pp. 033-045 {SCOPUS} [ISSN 2150-7988, IF 1.424] DOI: (SCI-E, IF - 2.577)
5.	Anita, Anupam Yadav, Nitin Kumar, Artificial Electric Field Algorithm for Engineering Optimization Problems, Accepted, Expert Systems with Applications, Elsevier, vol. 149, pp. 113308, 2020, DOI: https://doi.org/10.1016/j.eswa.2020.113308 (23 pages), (SCI-E, IF – 8.665)
6.	Vivek Kumar Singh, Nitin Kumar, Suresh Madhavan. Saliency Boosting: A Novel Framework to Refine Salient Object Detection, Artificial Intelligence Review, Springer, vol. 53, pp. 3731 – 3772, 2020, DOI: https://doi.org/10.1007/s10462-019-09777-6, (SCI-E, IF – 9.588)
7.	Manisha, Nitin Kumar*, Cancelable Biometrics: A Comprehensive Survey, Artificial Intelligence Review, Springer, vol. 53, pp. 3403 – 3446, 2020, DOI: https://doi.org/10.1007/s10462-019-09767-8 (SCI - IF 9.588)
8.	Vivek Kumar Singh, Nitin Kumar. Saliency Bagging: A Novel Framework for Robust Salient Object Detection. The Visual Computer, Springer, vol. 36, pp. 1423 – 1441, 2020, DOI: https://doi.org/10.1007/s00371-019-01750-2 (SCI-E, IF - 2.835)
9.	Shikhar Sharma, Krishan Kumar, Navjot Singh, Deep Eigen Space Based ASL Recognition System, IETE Journal of Research, July 2020. [DOI]
10.	Rama Krishna Koppanati, Krishan Kumar, P-MEC: Polynomial congruence based Multimedia Encryption technique over Cloud, IEEE Consumer Electronics Magazine, June 2020. [DOI]
11.	Parveen Kumar, Ambalika Sharma, “Segmentation free writer identification based on convolutional neural network”, Computers & Electrical Engineering, 2020.
12.	Agarwal, Ayushi, Maroti Deshmukh, and Maheep Singh. Object detection framework to generate secret shares. Multimedia Tools and Applications 79.33 (2020): 24685-24706.
2019
1.	Kamalpreet Singh, Amit Aggarwal, Kamal Kumar, “Mobility Management in Constrained Wireless Nodes: A Review,” in International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-8 Issue-6C, April 2019. {SCOPUS} [ISSN 2278-3075, IF 0.291] DOI:
2.	Prem kumar Chithaluru, Rajeev Tiwari and Kamal Kumar, “Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network”, International Journal of Sensors, Wireless Communications and Control (2019) 9: 1. https://doi.org/10.2174/2210327909666191026092311{SCOPUS} [ISSN 2210-3287, IF 0.529]
3.	Neha Goyal; Kapil Gupta; Nitin Kumar, Multiclass Twin Support Vector Machine for Plant Species identification, Multimedia Tools and Applications, vol. 78, no. 19, pp. 27785-27808, 2019, DOI: https://doi.org/10.1007/s11042-019-7588-2, (SCI-E, IF - 2.577)
4.	Nitin Kumar*, Vaani Garg. Single Sample Face Recognition in the Last Decade: A Survey, International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, No.13, 1956009 (38 pages), 2019, DOI: https://doi.org/10.1142/S0218001419560093 (SCI-E, IF - 1.261)
5.	Shiv Naresh Shivhare, Nitin Kumar, Navjot Singh. A Hybrid of Active Contour Model and Convex Hull for Automated Brain Tumor Segmentation in Multimodal MRI. Multimedia Tools and Applications, Springer, vol. 78, no. 24, pp. 34207-34229, 2019, DOI: https://doi.org/10.1007/s11042-019-08048-4, (SCI-E, IF - 2.577)
6.	Nitin Kumar*, Manisha. RP-LPP : A Random Permutation based Locality Preserving Projection for Cancelable Biometric Recognition, Multimedia Tools and Applications, vol. 79, pp. 2363–2381, Springer, 2019, DOI: https://doi.org/10.1007/s11042-019-08228-2 (SCI-E, IF - 2.577)
7.	Krishan Kumar, EVS-DK: Event video skimming using deep keyframe, Journal of Visual Communication and Image Representation, January 2019. [DOI]
8.	Singh, S., Batabyal, S. & Tripathi, S. “Security aware dynamic scheduling algorithm (SADSA) for real-time applications on-grid”. Cluster Computing, 23, 989–1005 (2019). https://doi.org/10.1007/s10586-019-02970-w, SCI-Expanded, Impact Factor – 2.30 (Q2).
9.	Parveen Kumar, Ambalika Sharma, “DCWI: Distribution descriptive curve and Cellular automata based Writer Identification”, Expert System and Applications, 2019.
10.	Coordinator, TEQIP-III Sponsored five day STTP on Artificial Intelligence Applications in Internet of Things at National Institute of Technology Uttarakhand, September 23-27, 2019.
11.	Maheep Singh, Mahesh C. Govil, Emmanuel S. Pilli, and Santosh Kumar Vipparth. SOD‐CED: salient object detection for noisy images using convolution encoder–decoder. IET Computer Vision 13.6 (2019): 578-587.
2018
1.	Kamal Kumar et al, “Performance aware Planning Algorithms for Cloud Environments,” In International Journal of Distributed Systems and Technologies (IJDST), IGI Global, Vol. 9, No. 1 (2018): 1-15. (SCOPUS and ESCI) [ISSN 1947-3532, IF 0.921] DOI: https://doi.org/10.4018/IJDST.2018010101
2.	Sachin Sharma, Sandip Kumar Goyal, Kamal Kumar and Avinash Sharma, “Exploring Business Potential in Retail Segment Using Big Data Analytics,” in International Journal on Future Revolution in Computer Science & Communication Engineering Volume: 4 Issue: 3, pp 251-56 {UGC Journal} [ISSN: 2454-4248] DOI
3.	Surendra Singh, Sachin Tripathi, Nitin Kumar, An Enhanced Security-aware Dynamic Packet Scheduling Scheme for Wireless Networks using Intelligent Time Slice based Krill Herd Algorithm, Journal of Electromagnetic Waves and Applications, Taylor and Francis, vol. 32, no. 16, pp. 2135-2156, 2018, DOI: https://doi.org/10.1080/09205071.2018.1497549 (SCI-E, IF - 1.438)
4.	Nitin Kumar, Ajay Jaiswal. Effect of Varying Training Images on Performance of Face Recognition: A Study, International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), 5(2), 236-239, 2018, DOI: https://doi.org/01.1617/vol5/iss2/pid71536
5.	Anuj Kumar, H. S. Bhadauria, Nitin Kumar. Segmentation of Periapical Dental X-Ray Images by applying Morphological Operations, International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), 5(2), 371-375, 2018. DOI: https://doi.org/01.1617/vol5/iss2/pid91532
6.	Krishan Kumar, Deepti D. Shrimankar, ESUMM: Event SUMMarization on Scale-Free Networks, IETE Technical Review, June 2018.[DOI]
7.	Krishan Kumar, Deepti D. Shrimankar, Deep Event Learning boosT-up Approach: DELTA, Multimedia Tools and Applications, March 2018. [DOI]
8.	Singh, S., Tripathi, S & Kumar N., “An enhanced security-aware dynamic packet scheduling scheme for wireless networks using intelligent time slice-based krill herd algorithm” Journal of Electromagnetic Waves and Applications, 32 (16), pp. 2135-2156 (2018). https://doi.org/10.1080/09205071.2018.1497549,SCI-Expanded, Impact Factor – 1.35.
9.	Singh, S. and Tripathi S., “SLOPE: Secure and load optimized packet scheduling model in a grid environment”, Journal of Systems Architecture, 91, pp. 41-52 (2018). https://doi.org/10.1016/j.sysarc.2018.09.006, SCI, Impact Factor – 5.83 (Q1).
10.	Kumar, N., Singh, S. & Kumar, A., “Random permutation principal component analysis for cancelable biometric recognition”, Appl Intell 48, 2824–2836 (2018). https://doi.org/10.1007/s10489-017-1117-7,SCI-Expanded, Impact Factor – 5.01 (Q1).
11.	Maheep Singh, Mahesh Chandra Govil, and Emmanuel Shubhakar Pilli. CHACT: Convex hull enabled active contour technique for salient object detection. IEEE Access 6 (2018): 22441-22451
2017
1.	Sachin Sharma, Sandip Kumar Goyal and Kamal Kumar, “Application of ETLR in Telecom Domain,” in Indian Journal of Science and Technology, Vol. 10, No. 30, 2017, pp. 1-8, India. (SCOPUS) [ISSN 09746846] DOI 10.17485/ijst/2017/v10i19/115510
2.	Nitin Kumar, Surendra Singh, Abhimanyu Kumar, Random Permutation Principal Component Analysis for Cancelable Biometric Recognition, Applied Intelligence, Springer, Vol. 48, No. 9, pp. 2824 – 2836, 2017. DOI https://doi.org/10.1007/s10489-017-1117-7,(SCI, IF – 5.019)
3.	Nitin Kumar, Thresholding in Salient Object Detection: A Survey. Multimedia Tools and Applications, Springer, Vol. 77, No. 15, pp. 19139-19170, 2017. DOI: https://doi.org/10.1007/s11042-017-5329-y (SCI-E, IF - 2.577)
4.	Krishan Kumar, Deepti D. Shrimankar, F-DES: Fast and Deep Event Summarization, IEEE Transactions on Multimedia, August 2017. [DOI]
5.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, Eratosthenes Sieve based Key-frame Extraction Technique for Event Summarization in Videos, Multimedia Tools and Applications, March 2017. [DOI]
2016
1.	Kumar, A., Kumar, V., & Kumar, K. . A novel next hop selection based secure routing for wireless ad hoc sensor networks. CSI transactions on ICT, Vol. 4. No. 2-4, pp. 47-53. 2016 [ISSN 2277-9078 ]DOI: 0.1007/s40012-016-0104-1
2.	Amit Kumar, Vijay Katiyar and Kamal Kumar, “SECURE ROUTING PROPOSALS IN MANETS: A REVIEW, in IJFCST, Vol. 6, No. 1, pp. 21-35, 2016. [ISSN 1839 7662] DOI: 10.5121/ijfcst.2016.6102 (Google Scholar)
3.	Nitin Kumar, R. K. Agrawal and Ajay Jaiswal. Incremental and Decremental Non-parametric Discriminant Analysis for Face Recognition. Computing and Informatics, vol. 35, no. 5, pp. 1231-1248, 2016. (SCI-E, IF - 0.455)
4.	Nitin Kumar, R. K. Agrawal. Two-dimensional exponential discriminant analysis for small sample size in face recognition. International Journal of Artificial Intelligence and Soft Computing, 5(3), 194-208, 2016, DOI: https://doi.org/ 10.1504/IJAISC.2016.078489 (UGC-CARE)
5.	Nitin Kumar, Maheep Singh. A Two Stage Approach to Detect Salient Objects in Noisy Images. International Journal of Information Processing, 10(2), 1-9, 2016.
2015
1.	Nitin Kumar, R. K. Agrawal. Block LDA via QR-Decomposition for Face Recognition with Single Image per Person. International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 19, no. 3, pp. 173-181, 2015, DOI: https://doi.org/10.3233/KES-150319 (Scopus)
2.	Ajay Jaiswal, Nitin Kumar, R. K. Agrawal. Analysis and Evaluation of Regression Based Methods for Facial Pose Classification. International Journal of Applied Pattern Recognition, 2(1), 24-45, 2015, DOI: https://doi.org/10.1504/IJAPR.2015.068936 (UGC-CARE)
2014
1.	Kamal Kumar, Anil Kumar Verma, R. B. Patel, “Secure Multipath Routing Scheme using Key Pre-Distribution in Wireless Sensor Networks,”, in International Journal of Foundation in Computer Science & Technology, Vol. 4, No. 4, pp. 49-61, 2014, Australia. [ISSN 1839 7662] DOI 10.5121/ijfcst.2014.4404
2.	Ankita Sharma, Kamal Kumar, “Performance Investigation of AODV, DSR and DSDV MANET Routing Protocols using CBR and FTP Traffic , in International Journal of Computer Application, Vol. 100, No. 6, pp. 47-52, August 2014. [ISSN 0975-8887 ] DOI: 10.5120/17533-8106
3.	Nitin Kumar and R. K. Agrawal. Two Stage Nonparametric Discriminant Analysis for Small Sample Size Problem in Face Recognition. International Journal of Information Processing (IJIP), 8(3), 13-22, 2014.
4.	Nitin Kumar, R. K. Agrawal and Ajay Jaiswal. Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. International Journal of Computer Vision and Image Processing (IJCVIP), 4(1), 40-55, 2014, DOI: https://doi.org/10.4018/ijcvip.2014010104, (UGC -CARE)
2013
1.	Kamal Kumar, Anil Kumar Verma, R. B. Patel, “Variance Aware Secure Routing for Heterogeneous Wireless Sensor Networks,” In Malaysian Journal of Computer Science, Vol. 26, No. 2, pp. 159-169, 2013 (SCI). [ISSN 0127-9084, IF. 0.662]
2012
1.	Kamal Kumar, Poonam Sharma, “Location Dependent Key management Scheme for Wireless Sensor Network,” in International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 1, No. 5, pp. 59-63, October 2012. [ISSN 22783075] DOI https://www.ijitee.org/portfolio-item/e0295091512/
2011
1.	Kamal Kumar, Anil Kumar Verma, R. B. Patel, “Framework for Key Management Scheme in Heterogeneous Wireless Sensor Networks”, In Journal of Emerging Technologies in Web Intelligence, North America, Vol. 3, No. 4, pp. 286-96, Nov., 2011. DOI: 10.14236/ewic/IUBICOM2010.3 [ISSN 1798-0461]
2010
1.	Kamal Kumar, Anil Kumar Verma, R. B. Patel., “A Location Dependent Connectivity Guarantee Key Management Scheme for Heterogeneous Wireless Sensor Networks”, In Special Issue on Ubiquitous and Mobile Computing, Journal of advances in Information Technology, Vol. 1, No. 3, pp. 105-115, Feb., 2010. [ISSN 17982340, IF 2.970] DOI: 10.4304/jait.1.3.105-115
2007
1.	Kamal Kumar, R.B. Patel, “Resource Allocation in Grid Computing Environment: A Trust Aware Approach,” in proceedings of International Journal of Technology, Knowledge and Society, Australia, Vol. 3, pp. 89-101, 2007. [ISSN 1832-3669 ] DOI: https://doi.org/10.18848/1832-3669/CGP/v03i06/55792

Conferences

S.No.	Details
2023
1.	Abhishek Hazra, Surendra Singh, L. K. Awasthi, International Conference on Artificial Intelligence of Things (ICAIoT), ICAIoT-2023, NITTTR Chandigarh, Web of science/Scopus
2.	Arvind Kumar Vishwakarma, Maroti Deshmukh, CNN-FD:deep Convolutional Neural Network model for Fire Detection, 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances, IIT Roorkee, [Scopus]
3.	Arvind Vishwakarma, Maroti Deshmukh, An Intelligent Image Fire Detection Approach Based On Deep Convolutional Neural Network, 14th International Conference on Computing, Communication and Networking Technologies, IIT Delhi, [Scopus]
4.	Abhishek Dhiman, Maroti Deshmukh, Key-Frame based Video Summarization using Optimized K-means Clustering, International Conference on Computer, Electronics & Electrical Engineering and Their Applications, NIT Uttarakhand, [Scopus]
5.	Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, QR Shares based Secret Sharing Scheme using DWT, Random Permutation and Arithmetic Modulo Operation for QR Secret, 10th International Conference on Signal Processing and Integrated Networks, [Scopus]
6.	Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, Meaningful Shares based Single Secret Sharing Scheme using Chinese Remainder Theorem and XOR Operation, 10th International Conference on Signal Processing and Integrated Networks, [Scopus]
7.	Abhishek Dhiman, Maroti Deshmukh, Optimized Approach for Video Summarization using Transfer Learning and LSTM, 2nd International Conference on Computational Intelligence and Sustainable Engineering Solution, [Scopus]
8.	Shubhashish Goswami and Abhimanyu Kumar, Traffic Prediction Using Auxiliary Information Based on Mlbsae-A Hybrid Deep Learning Framework, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023.New Delhi [Scopus]
9.	Kamini Sahu, Lalit K. Awasthi, Abhimanyu Kumar, Key Generation using Pseudorandom Number Generator, 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE New Delhi [Scopus]
10.	Sachin Choduahry, Abhimanyu Kumar, Krishan Kumar, Edge computing based An Efficient Lightweight authentication protocol for Smart Grid communication, International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3) [Scopus]
9.	Kamini Sahu, Lalit K. Awasthi, Abhimanyu Kumar, A Novel Attribute based Encryption with implicit user authentication for Cloud, International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3) [Scopus]
10.	Manmohan Pundir, Abhimanyu Kumar; Sachin Choudhary, Efficient Diffie Hellman Two Round Secret Key Agreement Protocol, 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) [Scopus]
11.	Sneha Chauhan, Sugata Gangopadhyay, Aditi Kar Gangopadhyay, Study of Support Set Generation Techniques in LAD for Intrusion Detection, International Conference on Intelligent Systems and Pattern Recognition, Tunisia [Scopus]
12.	Sneha Chauhan, Loreen Mahmoud, Tanay Sheth, Sugata Gangopadhyay, Aditi Kar Gangopadhyay, Generating Adversarial Examples Using LAD, International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Portugal [Scopus]
2022
1.	Arun Singh Bhadwal, Kamal Kumar, “GVA: Gated Variational Autoencoder for de novo molecule generation"” in proceedings of the 9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, 2022 (UPCON-2022) (accepted)
2.	Soni Chaurasia, Kamal Kumar, “DCEE-ORP: Dragon Fly inspired Cluster based Energy Efficient Opportunistic Routing Protocol for WSNs,” in proceedings of IEEE International Conference on Current Development in Engineering and Technology (CCET), 2022. (accepted)
3.	Soni Chaursia, Kamal Kumar, “Optimized Routing in WSNs: Pragmatic Review and Research Direction,” in Proceedings of IEEE IATMSI-2022, December 21-23, 2022 (Accepted)
4.	Sachin Sharma, Kamal Kumar, “Distributed Ledger Technology and its Potential Applications – Financial Sector,” in Cross-Industry Blockchain Technology: Opportunities and Challenges in Industry 4.0, Bentham Science, Singapore, 2022. (Book Chapter)
5.	Arun Singh Bhadwal, Kamal Kumar, “Direct de novo molecule generation using probabilistic diverse variational autoencoder” in International Conference on Computer Vision & Machine Intelligence (CVMI-2022), August 12-13, 2022, Indian Institute of Information Technology, Allahabad, India. (Accepted and Presented)
6.	Vivek Kumar Singh, Nitin Kumar. Challenges and Opportunities for salient object detection in the COVID-2019 Era, Accepted for Publication in Proceedings of the International Conference on Robotics, Control and Computer Vision, ICRCCV 2022 at NIT Uttarakhand during Feb. 19 – 20, 2022, Springer. (Best Paper Award)
7.	Ayush Raj Srivastava, Nitin Kumar, Performance Evaluation of Single Sample Ear recognition Methods, Accepted for publication in Proceedings of the International Conference on Robotics, Control and Computer Vision (ICRCCV 2022) at NIT Uttarakhand during Feb. 19 – 20, 2022, Springer.
8.	Ayush Raj Srivastava, Nitin Kumar, An Improved Fourier Transformation Method for Single Sample Ear Recognition, Accepted for publication in Proceedings of the International Conference on Robotics, Control and Computer Vision (ICRCCV 2022) at NIT Uttarakhand during Feb. 19 – 20, 2022, Springer.
9.	Prachi Chauhan, Alok Negi, Krishan Kumar, Parul Saini, and Shamal Kashid, Leveraging Advanced Convolutional Neural Networks and Transfer Learning for Vision-based Human Activity Recognition, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
10.	Ashray Saini, Krishan Kumar, Alok Negi, Parul Saini, and Shamal Kashid, NPIS: Number Plate Identification System, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
11.	Parul Saini, Krishan Kumar, Alok Negi, Shamal Kashid, and Ashray Saini, Driver Drowsiness Detection for Road Safety using Deep Learning, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
12.	Alok Negi, Krishan Kumar, Prachi Chauhan, Parul Saini, Shamal Kashid, and Ashray Saini, AI-based Real-Time Monitoring for Social Distancing against COVID-19 Pandemic, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
13.	Prachi Chauhan, Alok Negi, Krishan Kumar, Parul Saini, and Shamal Kashid, Leveraging Advanced Convolutional Neural Networks and Transfer Learning for Vision-based Human Activity Recognition, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
14.	Ashray Saini, Krishan Kumar, Alok Negi, Parul Saini, and Shamal Kashid, NPIS: Number Plate Identification System, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
15.	Parul Saini, Krishan Kumar, Alok Negi, Shamal Kashid, and Ashray Saini, Driver Drowsiness Detection for Road Safety using Deep Learning, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
16.	Alok Negi, Krishan Kumar, Prachi Chauhan, Parul Saini, Shamal Kashid, and Ashray Saini, AI-based Real-Time Monitoring for Social Distancing against COVID-19 Pandemic, Springer Int'l Conf. on Robotics, Control and Computer Vision (ICRCCV’22), NIT Uttarakhand (India), 19-20 February 2022. (Accepted). [DOI]
17.	Rajni Kant Yadav, Maheep Singh and Sandeep Chand Kumain. A Deep-Learning Approach for Gaussian Noise Level Quantification, International Conference on Robotics, Control and Computer Vision, NIT Uttarakhand, 2022.
2021
1.	Sandeep Chand Kumain, Kamal Kumar, “VBNC: Voting Based Noise Classification Framework Using Deep CNN,” in proceedings of International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2019, pp. 357-363 LNNS Springer, December 07-08, 2019. (Published 2021). ISBN 978-3-030-67187-7, DOI https://doi.org/10.1007/978-3-030-67187-7_37
2.	Sandeep Chand Kumain, Daud Ibrahim Dewan, Kamal Kumar, “Smart Multipurpose Robotic Car,” In proceedings of International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2019, LNNS Springer, pp. 273-280,December 07-08, 2019 (Published 2021), ISBN 978-3-030-67187-7, DOI https://doi.org/10.1007/978-3-030-67187-7_28
3.	Chelimilla Natraj Naveen, Kamal Kumar, “t-distributed Stochastic Neighborhood Embedding(t-SNE),” In proceedings of International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2019, LNNS Springer, pp. 46-52, December 07-08, 2019. (Published 2021) DOI https://doi.org/10.1007/978-3-030-67187-7_6, ISBN 978-3-030-67187-7
4.	Alok Negi, Krishan Kumar, Narendra S. Chaudhari, Navjot Singh, and Prachi Chauhan. Predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning, 8th Springer Int'l Conf. on Big Data Analytics, IIIT Allahabad (India), 15-18 December 2021.[DOI]
5.	Alok Negi, Krishan Kumar, Prachi Chauhan, Rishabh S. Rajput, Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic, IEEE Int'l Conf. on Computing, Communication, and Intelligent Systems (ICCCIS’21), Greater Noida (India), 19-20 February 2021. [DOI]
2020
1.	Alamgeer Ali and Kamal Kumar, “Various Noises in Medical Images and De-noising Techniques,” In proceedings of International Conference on Computing, Communications and Cyber-Security (IC4S 2019), Oct 12-13, pp. 303-315, 2019, Chandigarh. Springer. DOI https://doi.org/10.1007/978-981-15-3369-3_23 , ISBN 978-981-15-3369-3 Published April 2020
2.	Kabindra Singh Bisht and Kamal Kumar, “Lane Detection Models in Autonomous Car,” In proceedings of International Conference on Computing, Communications and Cyber-Security, Oct 12-13, 2019, pp. 285-301. Chandigarh. Springer. ISBN 978-981-15-3369-3, DOI https://doi.org/10.1007/978-981-15-3369-3_22, Published April 2020
3.	Sachin Sharma, Kamal Kumar and Sandip Kumar Goyal, "Holistic Enterprise Data Warehouse Processes Integration (January 29, 2020)," In 5th International Conference on Next Generation Computing Technologies (NGCT-2019). Available at SSRN: https://ssrn.com/abstract=3527205 Published January 29, 2020
4.	Sandeep Chand Kumain and Kamal Kumar, "A Novel Filter For the Detection of Object Boundary and Edges in Noisy and Non-Noisy Images," In 5th International Conference on Next Generation Computing Technologies (NGCT-2019). Available at SSRN: https://ssrn.com/abstract=3538586 or http://dx.doi.org/10.2139/ssrn.3538586 (Published February 15, 2020)
5.	Sandeep Chand Kumain and Kamal Kumar, "A Quartile Based Novel Approach For The Reduction Of Salt And Pepper Noise (February 15, 2020)," In 5th International Conference on Next Generation Computing Technologies (NGCT-2019). Available at SSRN: https://ssrn.com/abstract=3538583 or http://dx.doi.org/10.2139/ssrn.3538583 (Published February 15, 2020)
6.	Neha Goyal, Kapil Gupta, Nitin Kumar, A Hierarchical Approach for Multi-class Classification of Leaf Images, In Proceedings of the IEEE International Conference on Computing, Power And Communication Technologies 2020 (GUCON), 2-4 October 2020, pp. 268 – 273, DOI: 10.1109/GUCON48875. 2020.9231240
7.	Anita Sajwan, Anupam Yadav and Nitin Kumar, Development of Discrete Artificial Electric Field Algorithm for Quadratic Assignment Problems, In Proceedings of the 6th International Conference on Harmony Search, Soft Computing and Applications, Istanbul, Jul. 16-17,2020, pp. 411 – 421, DOI: https://doi.org/10.1007/978-981-15-8603-3_36, ISBN: 978-981-15-8602-6
8.	Manisha and Nitin Kumar, On Generating Cancelable Biometric Templates using Visual Secret Sharing, In Proceedings of the Computing Conference 2020 to be held at London, United Kingdom, July 16-17, 2020, pp. 532 – 544, DOI: https://doi.org/10.1007/978-3-030-52243-8_38, ISBN: 978-3-030-52242-1
9.	Shiv Naresh Shivhare and Nitin Kumar, Brain tumor segmentation using random walks from MRI images, In Proceedings of the 5th International Conference on Advanced Computing and Intelligent Engineering, Advances in Intelligent Systems and Computing (AISC) Universite des Mascareignes (UdM), Mauritius. 25-27 June, 2020, pp. 29-41, DOI: https://doi.org/10.1007/978-981-33-4299-6_3, ISBN: 978-981-33-4298-9
10.	Manisha, Nitin Kumar, On Generating Cancelable Biometric Template using Reverse of Boolean XOR, Accepted for Publication in the proceedings of the 2020 IEEE International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) held at Mody University of Science and Technology during Feb. 21-22, 2020,pp. 1-4, DOI: 10.1109/ICONC345789.2020.9117459 (Best Paper Award)
11.	Vivek Kumar Singh and Nitin Kumar, A Novel Fusion Framework for Salient Object Detection based on Support Vector Regression, In Proceedings of the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS-2020), CDAC, Noida, India Jan. 31-Feb.01, 2020, pp. 437 – 450, DOI: https://doi.org/10.1007/978-981-15-7804-5_33, ISBN: 978-981-15-7803-8 (Best Paper Award)
12.	Alok Negi, Prachi Chauhan, Krishan Kumar, Rishabh S. Rajput, Face Mask Detection Classifier and Model Pruning with Keras-Surgeon, 5th IEEE Int'l Conf. on Recent Advances and Innovations in Engineering (ICRAIE’20), Jaipur (India), December 01-03 2020.[DOI]
13.	Alok Negi, Krishan Kumar, Viability and Applicability of Deep Learning Approach for COVID-19 Preventive Measures Implementation , International Conference on Artificial Intelligence and Sustainable Engineering (ICAISE’20), NIT Goa(India), September 16-17 2020.[DOI]
14.	Gudepu Venkateswarlu, Anshita Gupta, Parveen Kumar, “Physical Sciences: An Inspiration to the Neural Network Training”, International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS-2020), 2020.
15.	Maheep Singh and Hemraj Singh, Salient Object Detection via Local And Global Contexts using Convolutional Neural Network, PCCDS-2020, In International Conference on Paradigms of Computing, Communication and Data Sciences, Springer, NIT Kurukshetra.
2019
1.	Sandeep Chand Kumain, Kiran Kumain and Kamal Kumar, “Introducing speckle noise data-set and a deep learning based model for speckle noise level identification,” In Proceedings of IEEE International Conference on Advances in Computing, Communication & Automation, Bareli, 2019. (Accepted and Presented)
2.	Premkumar Chithaluru, Rajeev Tiwari and Kamal Kumar, “Performance analysis of jitter and packet loss ratio for routing protocols in wireless sensor networks,” in proceedings of IEEE International Conference on Advances in Computing, Communication & Automation, Bareli, 2019. (Accepted and Presented)
3.	Anita Sajwan, Anupam Yadav and Nitin Kumar, Application of artificial electric field algorithm for economic load dispatch problem, In Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2019, Vardhman College of Engineering, Hyderabad, India, Dec. 13-15,2019, pp. 71 – 79, ISBN: https://doi.org/10.1007/978-3-030-49345-5_8, ISBN: 978-3-030-49344-8
4.	Vivek Kumar Singh and Nitin Kumar, U-FIN: Unsupervised Feature Integration Approach for Salient Object Detection, In Proceedings of the First International Conference on Advanced Communication & Computational Technology (ICACCT-2019), Kurukshetra, India Dec. 6-7, 2019, pp. 1173 – 1188, DOI: https://doi.org/10.1007/978-981-15-5341-7_89, ISBN: 978-981-15-5340-0
5.	Nitin Kumar and Suresh Madhavan, Incremental Weighted Linear Discriminant Analysis for Face Recognition, In Proceedings of the First International Conference on Advanced Communication & Computational Technology (ICACCT-2019), Kurukshetra, India Dec. 6-7, 2019, pp. 677 – 687, DOI: https://doi.org/10.1007/978-981-15-5341-7_51, ISBN: 978-981-15-5340-0 (Best Paper Award)
6.	Nitin Kumar and Suresh Madhavan, Performance Evaluation of Incremental PCA and its Variants in Face Recognition, In Proceedings of the First International Conference on Advanced Communication & Computational Technology (ICACCT-2019), Kurukshetra, India Dec. 6-7, 2019, pp. 397 – 407, DOI: https://doi.org/10.1007/978-981-15-5341-7_32, ISBN: 978-981-15-5340-0
7.	Anita Sajwan, Anupam Yadav and Nitin Kumar, Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems, In Proceedings of the International Conference on Soft Computing and Problem Solving (SoCPros) 2019, Liverpool Hope University, Liverpool, UK, Sep. 02-04, 2019, pp. 161 – 169, DOI: https://doi.org/10.1007/978-981-15-3290-0_13, ISBN: 978-981-15-3289-4
8.	Nitin Kumar, A Novel Three Phase Approach for Single Sample Ear Recognition, In: Boonyopakorn P., Meesad P., Sodsee S., Unger H. (eds) Recent Advances in Information and Communication Technology 2019 (IC2IT 2019), Bangkok, Thailand, July 04-05, pp. 79-88, Advances in Intelligent Systems and Computing, vol. 936. Springer, Cham
9.	Shiv Naresh Shivhare and Nitin Kumar, Brain Tumor Detection using Manifold Ranking in flair MRI, In Proceedings of the International Conference on Emerging Trends in Information Technology (ICETIT-2019), New Delhi, India, June 21-22, 2019, pp. 292 – 305, DOI: https://doi.org/10.1007/978-3-030-30577-2_25, ISBN: 978-3-030-30576-5
10.	Kaustubh Purohit, Avnish Kumar, Mayank Upadhyay, Krishan Kumar, Symmetric Key Generation and Distribution Using Diffie-Hellman Algorithm, 4th Springer Int'l Conf. on Soft Computing: Theories and Applications (SoCTA’19), NIT Patna (India), December 27-29 2019. [DOI]
11.	Abhishek Singh, Maheep Singh, Krishan Kumar, A Hybrid Method for Intrusion Detection Using SVM and k-NN, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
12.	Rama Krishna Koppanati, Krishan Kumar, Saad Qamar, E-MOC: An Efficient Secret Sharing Model for Multimedia on Cloud, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
13.	Pankaj Pundir, Shrey Gupta, Ravi Singh Patel, Rahul Goswami, Deepak Singh, Krishan Kumar, POCONET: A Pathway to Safety, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
14.	Avnish Kumar, Kaustubh Purohit, Krishan Kumar, Stock Price Prediction Using Recurrent Neural Network and Long Short-Term Memory, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
15.	Ishani Dabral, Maheep Singh, Krishan Kumar, Cancer Detection Using Convolutional Neural Network, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
16.	Shreya Kumari, Maheep Singh, Krishan Kumar, Prediction of Liver Disease Using Grouping of Machine Learning Classifiers, Springer Int'l Conf. on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR’19), MNIT Jaipur (India), December 06-07 2019. [DOI]
17.	Shreya Kumari, Maheep Singh, Krishan Kumar, Prediction of liver disease using grouping of machine learning classifiers, International conference on deep learning, artificial intelligence and robotics. Springer, Cham, 2019.
18.	Ishani Dabral, Maheep Singh, Krishan Kumar, Cancer detection using convolutional neural network, International conference on deep learning, artificial intelligence and robotics. Springer, Cham, 2019
19.	Abhishek Singh, Maheep Singh, Krishan Kumar, A Hybrid Method for Intrusion Detection Using SVM and k-NN., International conference on deep learning, artificial intelligence and robotics. Springer, Cham, 2019.
2018
1.	Sachin Sharma, Sandip Kumar Goyal, Avinash Sharma, Kamal Kumar, "Nuts and Bolts of ETL in Data Warehouse," In Rathore V., Worring M., Mishra D., Joshi A., Maheshwari S. (eds) Emerging Trends in Expert Applications and Security (ETEAS 2018), Advances in Intelligent Systems and Computing, vol 841, pp. 1-9. Feb 17-18, 2018, Jaipur. Springer, Singapore. ISBN 978-981-13-2285-3 DOI https://doi.org/10.1007/978-981-13-2285-3_1 Published Nov 2018
2.	Kamal Kumar et al., “Comparative Analysis of Workflow Scheduling Policies in Cloud Platforms,” In Intelligent Communication, Control and Devices Springer, ICICCD 2017, 15-16 April 2017 Dehradun, pp. 267-275, 2018, Singapore. DOI https://doi.org/10.1007/978-981-10-5903-2_29 ISBN 978-981-10-5903-2, Published 2018.
3.	Neha Goyal, Kapil Gupta and Nitin Kumar. Plant Species Identification using Leaf Image Retrieval: A Study. In Proceedings of the IEEE International Conference on Computing, Power And Communication Technologies 2018 (GUCON), 28-29 September 2018, Galgotia University, Noida, India, pp. 405-411, DOI: 10.1109/GUCON.2018.8675114.
4.	Anuj Kumar, H S Bhadauria and Nitin Kumar. Fuzzy Clustering with Level Set Segmentation for Detection of Dental Restoration area. In Proceedings of the 4th International Conference on Advances in Computing and Communication Engineering (ICACCE 2018), 22-23 June 2018, Paris, France, pp. 322-326, DOI: 10.1109/ICACCE.2018.8441739
5.	Nitin Kumar, Ajay Jaiswal. Effect of Varying Training Images on Performance of Face Recognition: A Study, In Proceedings of the International Conference on Advances in Computing Applications (ICACA-2018), Feb. 26 - 27, 2018, Srinagar Garhwal, India. ISBN No.: 97881-935941-3-1. (Abstract)
6.	Anuj Kumar, H. S. Bhadauria, Nitin Kumar. Segmentation of Periapical Dental X-Ray Images by applying Morphological Operations, In Proceedings of the International Conference on Advances in Computing Applications (ICACA-2018), Feb. 26 - 27, 2018, Srinagar Garhwal, India. ISBN No.: 97881-935941-3-1. (Abstract)
7.	Shalini Gupta, Abhimanyu Kumar and Nitin Kumar. Design of ECC based Authenticated Group Key Agreement Protocol Using Self-Certified Public Keys. In Proceedings of the 4th IEEE International Conference on Recent Advances in Information Technology (RAIT’18), Dhanbad, India, 2018, pp. 1-5, doi: 10.1109/RAIT.2018.8388999 (Conference Dates: Mar. 15 – 17, 2018)
8.	Akshay Solanki, Rishabh Bamrara, Krishan Kumar, Navjot Singh, VEDL: a novel Video Event searching technique using Deep Learning, 3rd Springer Int'l Conf. on Soft Computing: Theories and Applications (SoCTA’18), NIT Jalandhar (India), December 21-23 2018.[DOI]
9.	Abhay Mishra, Krishan Kumar, Parveen Kumar, Prabhkar Mittal, A novel approach for handwritten character recognition using K-NN classifier, 3rd Springer Int'l Conf. on Soft Computing: Theories and Applications (SoCTA’18), NIT Jalandhar (India), December 21-23 2018.[DOI]
10.	Krishan Kumar, Rishabh Bamrara, Prabhkar Gupta, Navjot Singh, M2P2: Movie’s trailer reviews based Movie Popularity Prediction system, 3rd Springer Int'l Conf. on Soft Computing: Theories and Applications (SoCTA’18), NIT Jalandhar (India), December 21-23 2018.[DOI]
11.	Sandeep Chand Kumain, Maheep Singh, Navjot Singh, Krishan Kumar, An efficient Gaussian Noise Reduction Technique For Noisy Images using optimized filter approach, IEEE Int'l Conf. on Secure Cyber Computing and Communications (ICSCCC'18), NIT Jalandhar (India), December 15-17 2018. [DOI]
12.	Kunal Patange, Pushkar Pete, Manjiri Wankhade, Arpitrama Chatterjee, Manish Kurhekar, Krishan Kumar, 3E-VMC: an Experimental Energy Efficient model for VMs scheduling over Cloud, IEEE Int'l Conf. on Secure Cyber Computing and Communications (ICSCCC'18), NIT Jalandhar (India), December 15-17 2018. [DOI]
13.	Haroon Ansari, Aditya Vijayvergia, Krishan Kumar, DCR-HMM: Depression detection based on Content Rating using Hidden Markov Model, 2nd IEEE Conf. on Information and Communication Technology (CICT’18), IIITDM Jabalpur (India), October 26-28 2018.[DOI]
14.	Shubham Kumar, Krishan Kumar, IRSC: integrated automated review mining system using virtual machines in cloud environment, 2nd IEEE Conf. on Information and Communication Technology (CICT’18), IIITDM Jabalpur (India), October 26-28 2018.[DOI]
15.	Aditya Vijayvergia, Krishan Kumar, STAR: rating of reviewS by exploiting variation in emoTions using trAnsfer leaRning framework, 2nd IEEE Conf. on Information and Communication Technology (CICT’18), IIITDM Jabalpur (India), October 26-28 2018.[DOI]
16.	Rama Krishna Koppanati, Saad Qamar, Krishan Kumar, SMALL: Secure Multimedia Technique Using Logistic and LFSR, 2nd IEEE Int'l Conf. on on Intelligent Computing and Control Systems (ICICCS’18), Madurai (India), June 14-15 2018.[DOI]
17.	Saad Qamar, Rama Krishna Koppanati, Krishan Kumar, VM-MMT: a novel approach for VM consolidation over openstack cloud using linear regression and Minimum Migration Time, 2nd IEEE Int'l Conf. on on Intelligent Computing and Control Systems (ICICCS’18), Madurai (India), June 14-15 2018.[DOI]
18.	Shubham Kumar, Krishan Kumar, LSRC: Lexicon Star Ratings system over Cloud, 4th IEEE Int'l Conf. on Recent Advances in Information Technology (RAIT’18), IIT(ISM) Dhanbad (India), March 15-17 2018.[DOI]
19.	Manish Bhatt, Monika, Parveen Kumar and Ambalika Sharma, “Facial Expression Detection and Recognition using Geometry Maps”, 2018 Conference on Information and Communication Technology (CICT’18), 2018.
20.	Pooja Panwar, Monika, Parveen Kumar and Ambalika Sharma, “CHGR: Captcha generation using Hand Gesture Recognition”, 2018 Conference on Information and Communication Technology (CICT’18), 2018.
21.	Yograj Meena, Monika, Parveen Kumar and Ambalika Sharma, “Product Recommendation System Using Distance Measure of Product Image Features”, Second International Conferenceon Intelligent Computing and Control Systems (ICICCS 2018), 2018.
22.	Vikrant Kumar, Monika, Parveen Kumar and Ambalika Sharma, “Spam Email Detection using ID3 lgorithm and Hidden Markov Model”, 2018 Conference on Information and Communication Technology (CICT’18), 2018.
23.	Babu Kumar, Parveen Kumar and Ambalika Sharma, “RWIL: Robust Writer Identification for Indic Language”, Second International Conference on Intelligent Computing and Control Systems (ICICCS 2018), 2018.
24.	Hrithik Katiyar, Monika, Parveen Kumar and Ambalika Sharma, “Twitter Sentiment Analysis using Dynamic Vocabulary” 2018 Conference on Information and Communication Technology (CICT’18), 2018.
25.	Sandeep Chand Kumain, Maheep Singh, Navjot Singh, Krishan Kumar, An efficient Gaussian noise reduction technique for noisy images using optimized filter approach., 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC). IEEE, 2018.
26.	Maheep Singh, Mahesh Chandra Govil, and Emmanuel Shubhakar Pilli., SOD-CHIEF: Salient Object Detection using Convex Hull with multI-scale Energy Functions., 2018 Conference on Information and Communication Technology (CICT). IEEE, 2018.
27.	Maheep Singh, Mahesh Chandra Govil, and Emmanuel Shubhakar Pilli., V-SIN: Visual Saliency detection in noisy Images using convolutional neural Network, 2018 Conference on Information and Communication Technology (CICT). IEEE, 2018.
2017
1.	Amit Kumar, Vijay Katiyar and Kamal Kumar (2017), “A Purely Localized Random Key Sequencing Using Accelerated Hashing in Wireless Ad-Hoc Networks,” In Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications (pp. 269-279), FICTA 2016, 16-17 September 2016, Bhubaneswar, Odisa, India, Volume 2. Springer, Singapore. ISBN 978-981-10-3156-4, DOI https://doi.org/10.1007/978-981-10-3156-4_27 Published 2017.
2.	Nitin Kumar, Maheep Singh, Surendra Singh, Abhimanyu Kumar. A Study of Training Free Salient Object Detection in the Presence of Noise. In Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA'2017), Kuching, Malayasia, pp.362-367, 2017. Publisher: IEEE Signal Processing Society, Malayasia Chapter, ISBN No.: 978-1-5090-5559-3. (Conference Dates: Sep. 12 – 14, 2017)
3.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, Key-lectures: keyframes extraction in video lectures, Proceedings of Springer Int'l Conf. on Machine Intelligence and Signal Processing (MISP’17), IIT Indore (India), December 22-24 2017.[DOI]
4.	Shikhar Sharma, Shiv N. Shivhare, Navjot Singh, Krishan Kumar, Computationally efficient ann model for small-scale problems, Proceedings of Springer Int'l Conf. on Machine Intelligence and Signal Processing (MISP’17), IIT Indore (India), December 22-24 2017.[DOI]
5.	Gagandeep Singh, Navjot Singh, Krishan Kumar, PICS: a Novel Technique for Video Summarization, Proceedings of Springer Int'l Conf. on Machine Intelligence and Signal Processing (MISP’17), IIT Indore (India), December 22-24 2017.[DOI]
6.	Krishan Kumar, Manish Kurhekar, Sentimentalizer: Docker container utility over Cloud, 9th IEEE Int'l Conf. on Advances in Pattern Recognition (ICAPR'17), ISI Bangalore (India), December 27-30 2017.[DOI]
7.	Abhay Atrish, Navjot Singh, Krishan Kumar, Vinod Kumar, An Automated Hierarchical Framework for Player Recognition in Sports Image, Proceedings of ACM Int'l Conf. on Video and Image Processing (ICVIP'17), NTU Singapore (Singapore) December 27-29 2017. [DOI]
8.	Shikhar Sharma, Piyush Kumar, Krishan Kumar, LEXER: LEXicon based Emotion analyzeR, 7th Int'l Conf. on Pattern Recognition and Machine Intelligence (PReMI'17), ISI Kolkata (India), December 05-08 201. [DOI] [Best Student Paper Award, PReMI'17]
9.	Krishan Kumar, Anurag Kumar, Ayush Bahuguna, D-CAD: Deep and Crowded Anomaly Detection, Proceedings of the 7th ACM Int'l Conf. on Computer and Communication Technology (ICCCT'17), MNNIT Allahabad (India), November 24-26 2017.[DOI]
10.	Shikhar Sharma, Piyush Kumar, Krishan Kumar, A-PNR: automatic plate number recognition, Proceedings of the 7th ACM Int'l Conf. on Computer and Communication Technology (ICCCT'17), MNNIT Allahabad (India), November 24-26 2017.[DOI]
11.	Harman Singh, Neeti Dhanak, Haroon Ansari, Krishan Kumar, HDML: Habit Detection with Machine Learning, Proceedings of the 7th ACM Int'l Conf. on Computer and Communication Technology (ICCCT'17), MNNIT Allahabad (India), November 24-26 2017.[DOI]
12.	Piyushi Manupriya, Shambhavi Sinha, Krishan Kumar, V⊕ SEE: Video secret sharing encryption technique, IEEE Conf. on Information and Communication Technology (CICT'17), IIITM Gwalior (India), November 03-05 2017.[DOI]
13.	Shikhar Sharma, Krishan Kumar, Navjot Singh, D-FES: Deep facial expression recognition system, IEEE Conf. on Information and Communication Technology (CICT'17), IIITM Gwalior (India), November 03-05 2017.[DOI]
14.	Anurag Kumar, Navjot Singh, Piyush Kumar, Aditya Vijayvergia, Krishan Kumar, A novel superpixel based color spatial feature for salient object detection, IEEE Conf. on Information and Communication Technology (CICT'17), IIITM Gwalior (India), November 03-05 2017.[DOI]
15.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, V-LESS: a Video from Linear Event SummarieS, Proceedings of 2nd Springer Int'l Conf. on Computer Vision & Image Processing (CVIP’17), IIT Roorkee (India), September 10-12 2017. [DOI]
16.	Shikhar Sharma, Krishan Kumar, GUESS: Genetic Uses in Video Encryption with Secret Sharing, Proceedings of 2nd Springer Int'l Conf. on Computer Vision & Image Processing (CVIP’17), IIT Roorkee (India), September 10-12 2017. [DOI]
17.	Krishan Kumar, Shambhavi Sinha, Piyushi Manupriya, D-PNR: Deep license Plate Number Recognition, Proceedings of 2nd Springer Int'l Conf. on Computer Vision & Image Processing (CVIP’17), IIT Roorkee (India), September 10-12 2017. [DOI]
18.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, SOMES: An Efficient SOM Technique for Event Summarization in Multi-view Surveillance Videos, 5th Springer Int'l Conf. on Advanced Computing, Networking and Informatics (ICACNI’17), NIT Goa (India), June 01-03 2017.[DOI]
19.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, Event bagging: A novel event summarization approach in multiview surveillance videos, Int'l Conf. on Innovations in Electronics, Signal Processing and Communication (IESC’17), NIT Meghalaya (India), April 06-07 2017.[DOI]
20.	Krishan Kumar, Deepti D. Shrimankar, Navjot Singh, Equal Partition based Clustering approach for Event Summarization in Videos, 12th IEEE Int'l Conf. on Signal Image Technology & Internet Based Systems (SITIS'16), University of Naples (Italy), November 26-29 2016.[DOI]
21.	Krishan Kumar, Manish Kurhekar, Economically efficient virtualization over cloud using docker containers, 5th IEEE Int'l Conf. on Cloud Computing in Emerging Markets (CCEM’16), Bangalore (India) October 19-21 2016.[DOI]
22.	S. Singh, S. Tripathi, and S. Batabyal, "Utilization Based Secured Dynamic Scheduling Algorithm for Real-Time Applications on Grid (U-SDSA), "IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)", 2017, pp. 606-613, Taipei, doi: 10.1109/AINA.2017.21.
23.	N. Kumar, M. Singh, S. Singh, and A. Kumar, "A study of training free salient object detection methods in presence of noise, "IEEE International Conference on Signal and Image Processing Applications (ICSIPA)", 2017, pp. 362-367, doi: 10.1109/ICSIPA.2017.8120637.
24.	Nitin Kumar, Maheep Singh, Surendra Singh, Abhimanyu Kumar, A study of training free salient object detection methods in presence of noise, International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2017
2016
1.	Sachin Sharma, Kamal Kumar, “ETLR - Effective DWH Design Paradigm,” In Proceedings of the International Conference on Data Engineering and Communication Technology, Springer. Springer Science+ Business Media Singapore; 2016. March 10–11, 2016 pp. 149–57. Lavasa, Pune, Maharashtra, India. (SCOPUS) ISBN 978-981-10-1678-3, DOI https://doi.org/10.1007/978-981-10-1678-3_14. Published 2016
2.	Amit Kumar, Vijay Katiyar and Kamal Kumar (2016, August), "A Localization Based Resilience Enhancement in Ad Hoc and Wireless Sensor Networks," In International Conference on Smart Trends for Information Technology and Computer Communications(SmartCom 2016), 6-7 August 2016, Jaipur 2016 (pp. 452-459), Springer, Singapore. ISBN 978-981-10-3433-6, DOI https://doi.org/10.1007/978-981-10-3433-6_54. Published Dec 2016.
3.	Nitin Kumar, Maheep Singh, M. C. Govil, E. S. Pilli and Ajay Jaiswal. Salient Object Detection in Noisy Images. In Advances in Artificial Intelligence, Ed. Khoury R., Drummond C., Canadian AI 2016, 109-114, 2016, Lecture Notes in Computer Science, vol 9673, Publisher: Springer Verlag, ISBN No.: 978-3-319-34110-1. (Conference Dates: May 31 – Jun 03, 2016)
4.	. Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S Pilli, Ajay Jaiswal, Salient object detection in noisy images, Canadian Conference on Artificial Intelligence, 109-114
2014
1.	Nitin Kumar, R. K. Agrawal and Ajay Jaiswal, "A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition", In Proceedings of the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), In Advances in Intelligent Systems and Computing, Ed. Thampi, Sabu M., Springer International Publishing, 264, 23 - 32, 2014. Publisher: Springer International Publishing, ISBN No.: 978-3-319-04959-5 (Symposium Dates: Mar. 13 – 15, 2014)
2.	S. Singh, Ranvijay, “Improve real-time packet scheduling algorithm with security constraint”, 2014 Annual IEEE India Conference (INDICON), vol. – pp. 1-6, 2014, doi: 10.1109/INDICON.2014.7030461.
3.	Parveen Kumar, Gaurav Raj, Anjandeep Kaur Rai, “A Novel High Adaptive Fault Tolerance Model in Real Time Cloud Computing”, 5th International Conference –Confluence The Next Generation Information Technology Summit (Confluence), 2014.
4.	Gurpreet Singh, Parveen Kumar, “Self-Adaptive Task Distribution for Load Balancing using HABACO in Cloud”, 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014.
5.	Manjinder Kaur, Parveen Kumar, “Spotting the Phenomenon of Bad Smells in Mobile Media Product Line” 2014 Seventh International Conference on Contemporary Computing (IC3), 2014.
2013
1.	Geetika Kansal, Kamal Kumar, Vikas Gupta, “Behavirol Analysis and Investigation of AODV and DSDV Routing Protocols for Different Nodes and Mobility for CBR traffic in Mobile Adhoc Networks,” in Proceedings of National Conference on Advancements in the Era of Multi-Disciplinary System (AEMDS-13), June 2013.
2010
1.	Kamal Kumar, Rajiv Tiwari, Gulistan Khan, “Load Balancing in Distributed Web Caching: A Novel Clustering Approach”, in International Conference on Methods and Models in Science and Technology(ICM2ST-10), pp. 341-345, 25-26 December 2010, Chandrigarh, India. 2010. DOI https://doi.org/10.1063/1.3526228
2009
1.	Kamal Kumar, Anil Kumar Verma, R.B. Patel, “Promising Key Management Schemes in Wireless Sensor Networks: A Review”, in Proceedings of IEEE International Advance Computing Conference (IACC’09) on March 6-7, 2009 , pp. 3036-3041, Thapar Institute of Engineering and Technology, Patiala, India. DOI: 10.1109/IADCC.2009.4809161 ISBN 978-981-10-5903-2
2.	Kamal Kumar, Anil Kumar Verma, R. B. Patel., “An Inexpensive Key Management Scheme for Heterogeneous Wireless Sensor Networks”, In the proceedings of International Conference on Wireless Networks & Embedded Systems WECON 2009, pp. 302-308, 23rd – 24th October, 2009.
2007
1.	Kamal Kumar, R.B. Patel, “A Secure Trust Conscious Resource Distribution in Grid Computing System,” in proceedings of International Conference on Intelligent Systems & Networks(IISN-2007), Jagadhri, Haryana, India, Feb. 23-25(2007), pp. 341-347.

Books/Book Chapters

S.No.	Details
Books Authored/Edited
2021
1.	Nitin Kumar, Computing Tools, Chapter contributed in Internet of Things: Concepts and Applications (An Indian Adaptation) published by Wiley India Pvt. Ltd., May 2021
2.	Proceedings of the International Conferences on Paradigms of Communication, Computing and Data Sciences (PCCDS 2021) published by Springer, 2021.
2019
1.	Next Generation Computing Technologies on Computational Intelligence , Edited by: Manish Prateek, Durgansh Sharma, Rajeev Tiwari, Rashmi Sharma, Kamal Kumar, Neeraj Kumar, ISBN 978-981-15-1718-1, DOI https://doi.org/10.1007/978-981-15-1718-1 , Springer Singapore, 2019.
2018
1.	Proceedings of the International Conferences on Advances in Computing Applications (ICACA 2018) published by Institute For Engineering Research and Publications (IFERP), 2018.
Book Chapter
2022
1.	S. Singh, S. Tripathi, “A Security-Driven Scheduling Model for Delay-Sensitive Tasks in Fog Networks”, Advances in Computing, Informatics, Networking and Cybersecurity, Springer Nature Edited book, 2022.
2022
1.	Nitin Kumar, Computing Tools, Chapter contributed in Internet of Things: Concepts and Applications (An Indian Adaptation) published by Wiley India Pvt. Ltd., May 2021.
2.	Alok Negi, Krishan Kumar, AI-based implementation of decisive technology for prevention and fight with COVID-19, Book Title: Cyber-Physical Systems, Academic Press, January 2022. [DOI].
3.	Alok Negi, Krishan Kumar, Face Mask Detection in Real-Time Video Stream Using Deep Learning, Book Title: Computational Intelligence and Healthcare Informatics, Scrivener Publishing LLC, October 2021. [DOI].
4.	Alok Negi, Krishan Kumar, Classification and Detection of Citrus Diseases Using Deep Learning, Book Title: Data Science and Its Applications, Chapman and Hall/CRC, October 2021. [DOI].
5.	Ajay B. Gadicha, Vrindra Beena Brijesh Gupta, Vijay B. Gadicha, Krishan Kumar, Mangesh M. Ghonge, Multimode Approach of Data Encryption in Images Through Quantum Steganography, Book Title: Multidisciplinary Approach to Modern Digital Steganography, IGI Global, June 2021. [DOI]
6.	Alok Negi, Krishan Kumar, Prachi Chauhan, Deep Learning‐Based Image Classifier for Malaria Cell Detection, Book Title: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc, April 2021. [DOI]
7.	Alok Negi, Krishan Kumar, Prachi Chauhan, Deep Neural Network‐Based Multi‐Class Image Classification for Plant Diseases, Book Title: Agricultural Informatics: Automation Using the IoT and Machine Learning, John Wiley & Sons, Inc, March 2021. [DOI]
2020
1.	Abhay Mishra, Krishan Kumar, Parveen Kumar, Prakhar Mittal, “A Novel Approach for Handwritten Character Recognition Using K-NN Classifier”, Soft Computing: Theories and Applications, Springer, 2020.
2.	Parveen Kumar, Mohd Haroon Ansari, Ambalika Sharma, “MBC-CA: Multithreshold Binary Conversion Based Salt-and-Pepper Noise Removal Using Cellular Automata”, Computer Vision and Image Processing, Springer, 2020.
3.	Parveen Kumar, Manu Gupta, Mayank Gupta, Ambalika Sharma, “Profession Identification Using Handwritten TextImages”, Computer Vision, Springer, 2020. And Image Processing

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