Dr Kavita Khanna has teaching, research and administrative experience of more than 2 decades. She did her PhD from Guru Gobind Singh Indraprastha University, Delhi. Her areas of interest include Artificial Neural Networks, Machine Learning, Design and Analysis of Algorithms and Computer Graphics. She has more than 50 publications in reputed journals and Conferences. She has guided 20 MTech and two PhD students in their research work. She has completed one research project funded by Department of Science and Technology and has also completed multiple consultancy assignments.

Apart from her academic achievements she has pursued her passion for music and people while working as a Radio Jockey with AIR FM Gold for around 16 years. Her articles on upcoming technologies and teaching pedagogies have been published with leading newspapers and magazines.

• Artificial Neural Networks
• Analysis and Design of Algorithms
• Theory of Automata and Computations
• Information Security and Cryptography
• Data Structures
• Probability and Statistics for Data Science
• Python for Data Science
• Database Management Systems
• Operating Systems
• Soft Computing Techniques

• Kavita and Navin Rajpal, “Reconstruction of Curves from Point Clouds using Fuzzy Logic and Ant Colony Optimization”, Neurocomputing, Elsevier, vol. 161, pp. 72-80, 2015.
• Pruthi J, Khanna K, “Optic Cup segmentation from retinal fundus images using Glowworm Swarm Optimization for glaucoma detection” Biomedical Signal Processing & Control, Elsevier, vol. 60, 2020.
• Agueda Benito, Kubra Dogan Yenisey, Kavita Khanna, Manuel Felipe Masis, Rosa Maria Monge, Mehmet Ali Tugtan, Luis Diego Vega Araya, and Rekha Vig. “Changes That Should Remain in Higher Education Post COVID-19: A Mixed Methods Analysis of the Experiences at Three Universities (Journal Pre-Proof).” Higher learning research communications: HLRC 11 (2021): 51-75.
• Bansal, Deepika, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, and Rajeev Malhotra. “Superpixel powered autoencoder technique for detecting dementia.” Expert Systems (2021):
• Deepika Bansal, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, Rajeev Malhotra “Analysis of Univariate and Multivariate Filters Towards the Early Detection of Dementia” Recent Advances in Computer Science and Communications, Vol 13, pp.1-9, 2020.
• Pruthi, J., Arora, S., & Khanna, K. Brain tumor segmentation using river formation dynamics and active contour model in magnetic resonance images. Neural Computing and Applications, 1-10, 2022.
• Shaifali Madan Arora, Navin Rajpal and Kavita Khanna “A new approach with enhanced accuracy in zero motion prejudgment for motion estimation in real time applications” The Journal of Real Time Image Processing, Springer, 2016, pp1-17.
• Shaifali Madan Arora, Navin Rajpal, Kavita Khanna and Ravinder Purwar, “Improved Accuracy in Initial Search Center Prediction to Fasten Motion Estimation in h.264” IETE journal of Research, Vol 62, No 6, pp 842-851.
• Pruthi J, Arora S, Khanna K. Modified Bird swarm algorithm for edge detection in noisy images using fuzzy reasoning. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. Published Online: 2018 Oct 9:1-14. (Taylor & Francis)
• Shaifali Madan Arora, Kavita Khanna* and Navin Rajpal, “A Novel Hybrid Approach for Fast Block Based Motion Estimation”, International Journal of Interactive Multimedia and Artificial Intelligence, 2017, Vol 4 No 6 2017, PP-24-30
• Deepika Bansal, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, Rajeev Malhotra “Towards Detecting Dementia via Deep Learning”, International Journal of Healthcare Information Systems and Informatics (IJHISI), Vol 16, No. 4 (2021): 1-17
• Priyanka Rastogi, Kavita Khanna, Vijendra Singh “Gland Segmentation in Colorectal Cancer Histopathological images using U-net inspired convolutional network”, Neural Computing and Applications; DOI: 10.1007%2Fs00521-021-06687-z SCIE Impact Factor 5.606
• Priyanka Rastogi, Kavita Khanna, Vijendra Singh “LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear”, Computers in Biology and Medicine, Volume 142, March 2022.
• Jyotika Pruthi, Shaveta Arora, Kavita Khanna, “An automated technique for optic disc detection in retinal fundus images using Elephant Herding Optimization algorithm”, Recent Patents in Computer Science, Bentham Science, Vol14, Issue 1,
• Anuradha Dhull*, Kavita Khanna, Akansha Singh and Gaurav Gupta, “ACO Inspired Computer-aided Detection/Diagnosis (CADe/CADx) Model for Medical Data Classification” Recent Patents in Computer Science, Bentham Science DOI, Volume 12, Number 4, 2019, pp. 250-259(10)
• Pruthi J, Arora S, Khanna K. Metaheuristic Techniques for Detection of Optic Disc in Retinal Fundus Images. 3D Research. 2018 Dec 1;9(4):47.
• Kavita Khanna, Navin Rajpal, Ajay Dureja and Shaifali Madan Arora, “Surface Reconstruction using Feature based Approach with Radial Basis Function Neural Network”, International Journal of Control Theory and Applications, vol. 9(19), pp. 9239-9250, 2016.
• Deepika Bansal, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, and Rajeev Malhotra. “Classification of Magnetic Resonance Images using Bag of Features for Detecting Dementia.” Procedia Computer Science, Elsevier, vol. 167, pp 131-137, 2020.
• Deepika Bansal, Rita Chhikara, Kavita Khanna, and Poonam Gupta. “Comparative analysis of various machine learning algorithms for detecting dementia.” Procedia Computer Science, Elsevier, vol. 132, pp 1497-1502, 2018.
• Shaifali M. Arora, Kavita Khanna, “Dynamic Two-Level Threshold Estimation for Zero Motion Prejudgment: A Step towards Fast Motion Estimation” Communications in Computer and Information Science, vol. 721, pp. 272-281, July, 2017.(Scopus Indexed)
• Rishika Mehta*, Jyoti Sahni, Kavita Khanna, “Internet of Things, Vision, Applications and Challenges”, Procedia Computer Science, Elsevier, Volume 132, 2018, Pages 1263-1269
• Kavita and Navin Rajpal, “Survey of Curve and Surface Reconstruction Algorithms from a Set of Unorganized Points”, Advances in Intelligent Systems and Computing, Springer, vol. 258, pp. 451-458, 2014.
• Kavita and Navin Rajpal, “Reconstruction of Noisy Bezier Curves using Artificial Neural Networks”, Advances in Intelligent Systems and Computing, Springer, vol. 258, pp. 459-466, 2014.
• Kavita, Navin Rajpal and Shaifali Madan Arora, “Piecewise Feature Extraction and Artificial Neural Networks: An approach towards Curve Reconstruction” Indian Journal of Science and Technology, vol. 9(28), pp. 1-9, July 2016. (Web of Science Indexed)
• Kavita Khanna* and Shaifali Madan Arora, “Ant Colony Optimization towards Image Processing”, Indian Journal of Science and Technology, 2016, Vol. 9, No. 48, Page No. 1-9.
• Kavita and Navin Rajpal, “Bezier Surface Reconstruction using Artificial Neural Networks” in International Journal of Emerging Technologies in Computational and Applied Sciences, vol. 11(3), IASIR, pp. 202-206, 2015.
• Somya Arya*, Kavita Khanna and Reshma Thomas, “Comparative Analysis of ACO and PSO over Task Scheduling” International Journal of Advanced Engineering Research and Applications, 2017, Vol 3, No1, Page 16-21
• Sangita Saini, S. K. Singh, Arun Garg, Kavita Khanna, Anil Shandil, and D. N. Mishra, “Prediction of skin penetration using artificial neural network”, International Journal of Engineering, Science and Technology, 2, pp. 1526-1531, 2010.
• Meenakshi Sharma and Kavita Khanna, “Offline signature verification using supervised neural networks”, International Journal of Management, IT and Engineering, vol. 4(8), pp. 82-95, 2014.
• Sonia Narula, Jyoti Sahni*, Kavita Khanna, “Mitigating DDoS Attacks on Cloud Networks Using Hypervisor Based Security”, IJA-ERA, 2018, 4(2), pp 63 -69,
• Poonam Yadav*, Kavita Khanna, Jyoti Sahni, “Find Like Minded User Using Big Data Mining Technique: A Case Study on Twitter”, International Journal of Advanced Engineering Research and Applications, 2018, 4(2), pp 70-75,
• Shaifali Madan Arora, Navin Rajpal, Kavita Khanna and Ravinder Purwar, “Comparative analysis of various search center selection methods for fast motion estimation”, International Journal of Applied Research 2016; 2(4): 183-186.
• Meenakshi Sharma and Kavita Khanna, “Offline Signature Verification Using Supervised and Unsupervised Neural Networks”, International Journal of Computer Science and Mobile Computing, vol. 3(7), pp. 425-436, 2014.
• Mauli Joshi and Kavita Khanna, “Plagiarism Detection over the Web: Review”, International Journal of Computer Applications, vol. 68(15) pp. 17-20, 2013.
• Mauli Joshi and Kavita Khanna, “A similarity measure analysis based improved approach for plagiarism detection”, International Journal of Computer Science and Engineering, vol.2 (3), pp. 115-122, 2013.
• Pooja Dabas and Kavita Khanna, “A Study on Spatial and Transform Domain Watermarking Techniques”, International Journal of Computer Applications, vol. 71(14), pp. 38-41, 2013.
• Seema Balhara and Kavita Khanna, “A Study on Routing Protocols Classification in Sensor Network”, International Journal of Computer Science and Mobile Computing, vol. 3(6),  pp. 451 – 457, 2014, (Impact Factor: 2.143) ISSN: 2320088X
• Seema Balhara and Kavita Khanna, “Leader Election Algorithms in Distributed Systems”, International Journal of Computer Science and Mobile Computing, vol. 3(6),  pp. 374 – 379, 2014
• Seema Balhara and Kavita Khanna, “Route Trace Reduction Based Leader Election Approach to Improve Communication in Mobile WSN”, International Journal of Engineering and Computer Science, vol. 3(6), pp. 6807-6811, 2014.
• Preeti Rathee, Kavita Khanna and Ajay Dureja, “A Study on Various Security Aspects in Cloud Policy Oriented Architecture” International Journal of Computer Science and Mobile Computing, vol. 4(5),  pp. 931 – 935, 2015.
• Reshma Thomas*, Somya Arya and Kavita Khanna “A Survey on Internet of Things” International Journal of Advanced Engineering Research and Applications, 2017, Vol. 2, No 12, Page: 649-657.

Book/ Book Chapters Published

• Cyber Security and Digital Forensics; Springer, ISBN: 978-981-16-3961-6, 2021. (Editor) https://link.springer.com/book/10.1007/978-981-16-3961-6
• IoT for Sustainable Smart Cities and Society, Springer, Series ISSN2199-1073. (Editor) Book Link:  https://link.springer.com/book/9783030895532
• Identification of Noun Phrases in Hindi using GB Theory, Lambert Academic Publishing, Germany, ISBN (978-3-330-04106-6), 2017. (Author)
• Block based motion estimation: Concepts and challenges, Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing, IGI Global pp 51-76; July, 2017.

Conference Proceedings:

• Kavita and Navin Rajpal, “Comparative Analysis of Feed Forward and Radial Basis Function Neural Networks for the Reconstruction of Noisy Curves”, in International Conference on Optimization, Reliability, and Information Technology (ICROIT), 2014, IEEE Explore (2014) pp 353 – 358. (DOI- 10.1109/ICROIT.2014.6798353).
• Kavita and Navin Rajpal, “Subtractive clustering: A tool for reconstructing noisy curves” in International Conference on Signal Processing and Integrated Networks (SPIN), 2014, IEEE Explore (2014) pp 59 – 62. (DOI- 10.1109/SPIN.2014.6776922)
• D Bansal, K Khanna, R Chhikara, RK Dua, R Malhotra, (2019). A Study on Dementia Using Machine Learning Techniques, Proceedings of the 2nd International Conference on Communication and Computing System, Taylor & Francis Group, 414-419.
• Bansal, Deepika and Khanna, Kavita and Chhikara, Rita and Dua, Rakesh Kumar and Malhotra, Rajeev, Analysis of Classification & Feature Selection Techniques for Detecting Dementia (March 20, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan Jaipur, February 26-28, 2019.

Available at SSRN: https://ssrn.com/abstract=3356886 or http://dx.doi.org/10.2139/ssrn.3356886