Shri Mata Vaishno Devi University
Official Website     Last Updated: 21st Feb, 2025
Admission 2025-26
Shri Mata Vaishno Devi University
Official Website     Last Updated: 21st Feb, 2025
Admission 2025-26

Dr. Sakshi Arora

Associate Professor
sakshi[at]smvdu.ac.in
01991-285524 Extn.: 2310
School of Computer Science and Engineering
Educational Qualification
  • Ph.D. in Computer Science – Shri Mata Vaishno Devi University.
    Specialization: Artificial Intelligence, Data Analytics and Machine Learning.
  •  
  • Masters in Computer Applications –University of Jammu.
 Teaching Experience
  • Associate Professor, School of Computer Science and Engineering
    Shri Mata Vaishno Devi University (2021–Present)

  • Assistant Professor- Stage III, School of Computer Science and Engineering
    Shri Mata Vaishno Devi University (2018–2021)

  • Assistant Professor- Stage II, School of Computer Science and Engineering
    Shri Mata Vaishno Devi University (2013–2018)

  • Assistant Professor- Stage I, School of Computer Science and Engineering
    Shri Mata Vaishno Devi University (2005–2013)

Courses Taught (Even Semester 2024-25)
Patents Granted
  • A METHOD FOR HUMAN IDENTIFICATION IN MULTI-GAIT SCENARIO 
    • Filed 2019-07-19 
    • Published 2021-08-27

 

  •  Agricultural Tool : An IOT based Smart Tool for Precision Agriculture
    • No. : 202111040974
    • Published 2024
Online Resources Published

 

Research Supervision
  1. Ph.D. Students Supervised – SMVD University (2015–Present): Supervised 8 Ph.D. candidates in Secured Biometrics, Medical Image Analysis and machine learning.

  2. Master’s Thesis – SMVD University  (2012-Present): Mentored 10 Master’s students in Image Processing and Ai & Machine Learning.

Journal Publications
  • Vij, Richa, and Sakshi Arora. “Modified Deep Inductive Tranfer Learning Diagnostic Systems for Diabetic Retinopathy Severity Levels Classification.” Biomedical Signal Processing and Control (2024). Impact Factor: 4.9.
  • Kour, Navleen, Sunanda Gupta, and Sakshi Arora. “A vision-based hybrid ensemble learning approach for classification of gait disorders.” Multimedia Tools and Applications (2024): 1-48.
  • Vij, Richa, and Sakshi Arora. “A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection.” Computers and Electrical Engineering115 (2024): 109107. Impact Factor: 4.0
  • Wani, I.M., Arora, S. “Deep ensemble learning for osteoporosis diagnosis from knee X-rays: a preliminary cohort study in Kashmir valley.” Neural Comput & Applic (2024). https://doi.org/10.1007/s00521-024-10158-6. Impact Factor: 4.5
  • Vij, Richa, and Sakshi Arora. “A Systematic Review on Deep Learning Techniques for Diabetic 5 Segmentation and Detection Using Ocular Imaging Modalities”. “Wireless Personal Communications” 134.2 (2024): 1153-1229. Impact Factor 1.9
  • Kalsotra, Rudrika, and Sakshi Arora. “Performance analysis of U-Net with hybrid loss for foreground detection.” Multimedia Systems2 (2023): 771-786. Impact Factor: 1.956
  • Vij, Richa, and Sakshi Arora. “A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification”. “Multimedia Tools and Applications” 82.22 (2023): 34847-34884. Impact Factor: 2.757.
  • Wani, Insha Majeed, and Sakshi Arora. “Osteoporosis diagnosis in knee X-rays by transfer learning based on convolution neural network.” Multimedia Tools and Applications9 (2023): 14193-14217. Impact Factor: 2.757.
  • Vij, Richa, and Sakshi Arora. “A systematic review on diabetic retinopathy detection using deep learning techniques.”  “Archives of Computational Methods in Engineering3 (2023): 2211-2256. Impact Factor: 7.242
  • Kour, Navleen, Sunanda Gupta, and Sakshi Arora. “Sensor technology with gait as a diagnostic tool for assessment of Parkinson’s disease: a survey.” Multimedia Tools and Applications 7 (2023): 10211-10247. Impact Factor: 2.757.
  • Vij, Richa, and Sakshi Arora. “A systematic survey of advances in retinal imaging modalities for Alzheimer’s disease diagnosis.”  “Metabolic Brain Disease” (2022): 1-31. Impact Factor: 3.584.
  • Kour, N., Gupta, S., & Arora, S. (2022). A vision-based clinical analysis for classification of knee osteoarthritis, Parkinson’s disease and normal gait with severity based on k-nearest neighbour. Expert Systems, e12955. Impact Factor: 2.857.
  • Singh, Jasvinder Pal, et al. “Hybrid neural network model for reconstruction of occluded regions in multi-gait scenario.” Multimedia Tools and Applications7 (2022): 9607-9629. Impact Factor: 2.757.
  • Kumar, Satish, Sunanda Gupta, and Sakshi Arora. “A comparative simulation of normalization methods for machine learning-based intrusion detection systems using KDD Cup’99 dataset.” Journal of Intelligent & Fuzzy Systems Preprint: 1-18. Impact Factor: 1.739
  • Kalsotra, Rudrika, and Sakshi Arora. “Background subtraction for moving object detection: explorations of recent developments and challenges.” The Visual Computer(2021): 1-28. Impact Factor: 2.081.
  • Kumar, Satish, Sunanda Gupta, and Sakshi Arora. “Research Trends in Network-Based Intrusion Detection Systems: A Review.” IEEE Access(2021). Impact Factor : 3.367
  • Kour, Vippon Preet, and Sakshi Arora. “Recent developments of the internet of things in agriculture: a survey.” IEEE Access8 (2020): 129924-129957. Impact Factor: : 3.367
  • Kalsotra, Rudrika, and Sakshi Arora. “A comprehensive survey of video datasets for background subtraction.” IEEE Access 7 (2019): 59143-59171.
  • Majeed, I., & Arora, S. (2019). “Computer-Aided Diagnostics Systems for Osteoporosis Detection: A Comprehensive Survey”. Medical & Biological Eng & Computing (MBEC). Impact Factor: 1.82.
  • Kour, N., Sunanda, & Arora, S. (2019). A Survey of Knee Osteoarthritis Assessment Based on Gait. Archives of Computational Methods in Engineering (ARCO). Impact Factor: 7. 242.
  • Singh, Jasvinder Pal, et al. “A survey of behavioral biometric gait recognition: Current success and future perspectives.” Archives of Computational Methods in Engineering1 (2021): 107-148. Impact Factor: 7.242
  • Kour, N., & Arora, S. (2019). Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey. IEEE Access, 7, 156620-156645. Impact Factor: 4.098.
  • Singh, Jasvinder Pal, et al. “Reconstruction of occluded ROI in multi-person gait based on numerical methods.” Multimedia Systems3 (2020): 249-266. Impact Factor: 1.956
  • Kour, V. P., & Arora, S. (2019). Particle Swarm Optimization Based Support Vector Machine (P-SVM) for the Segmentation and Classification of Plants. IEEE Access, 7, 29374-29385. Impact Factor: 4.098.
  • Singh, J. P., Jain, S., Arora, S., & Singh, U. P. (2018). Vision-Based Gait Recognition: A Survey. IEEE Access, 6, 70497-70527. Impact Factor: 4.098.
  • Kour, Vippon Preet, and Sakshi Arora. “Plantaek: A leaf database of native plants of jammu and kashmir.” Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 1. Singapore: Springer Singapore, 2022. 359-368.
  • Vij R, Arora S. Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis Using Neuroimaging: A Survey. 2022 (pp. 179-189). Springer.
  • Kalsotra, R., Arora, S. (2022). Superpixels-Guided Background Modeling Approach for Foreground Detection. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-16-8248-3_25.
  • Kumar, S., Sunanda, Arora, S. (2020). A Statistical Analysis on KDD Cup’99 Dataset for the Network Intrusion Detection System. In:, et al. Applied Soft Computing and Communication Networks. ACN 2019. Lecture Notes in Networks and Systems, vol. 125. Springer, Singapore.
  • Gupta, S., & Arora, S. (2017). A review of Data mining issues in cloud environment” (320-325). Journal of Computer and Mathematical Sciences. ISSN 0976 – 5727, Volume 6, Issue 9. 2017.
  • Gupta, S., & Arora S, “Security in Cloud Computing”, International Journal of Advance Research in Science and Engineering”, Vol. No. 5, 280-285 (2016).
  • Gupta, S., & Arora, S. (2015). Boosting Simulated Annealing With Fitness Landscape Parameters for Better Optimality. International Journal of Computing, 14(2), 107-112. (h-index: 8).
  • Vij R, Arora S. Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis Using Neuroimaging: A Survey. 2022 (pp. 179-189). Springer.
  • Kalsotra, R., Arora, S. (2022). Superpixels-Guided Background Modeling Approach for Foreground Detection. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-16-8248-3_25.
  • Vij R, Arora S. Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis Using Neuroimaging: A Survey. 2022 (pp. 179-189). Springer
  • Kour, Vippon Preet, and Sakshi Arora. “Fruit disease detection using rule-based classification.” Smart Innovations in Communication and Computational Sciences: Proceedings of ICSICCS-2018. Singapore: Springer Singapore, 2018. 295-312.
  • Kour, VipponPreet; Arora, Sakshi; Pal Singh, Jaswinder. A survey on vision based techniques for detection and classification of fruit diseases. International Journal of Engineering & Technology, [S.l.], v. 7, n. 4.5, p. 506-510, Sep. 2018. ISSN 2227-524X.
  • Arora Sakshi & Sunanda, “Genetic K-Means Clustering for Route Discovery in Multi Cast Networks”, International Journal of Control Theory and Applications, Vol. 10 (4), 49-56 (2017).
  • Arora Sakshi & Sunanda, “Virtual Machine Availability and Load Balancing in Cloud Environment”, International Journal of Control Theory and Applications, Vol. 10 (4), 183-190 (2017).
  • Gupta, S., Arora, S. (2018). Queuing Systems in Cloud Services Management: A Survey. International Journal of Pure and Applied Mathematics Volume 119 No. 12 2018, 12741-12753.
Book/Chapters Written
  • Vippon Preet Kour, Sakshi Arora ; Image-Based Plant Disease Detection Using IoT and Deep Learning, Green Industrial Applications of Artificial Intelligence and Internet of Things (2024) 1: 61. https://doi.org/10.2174/9789815223255124010008
  • Kumar, S., Sunanda, Arora, S. (2024). A Naïve Performance Metric Parameter for an Intrusion Detection System Model. In: Singh, Y., Singh, P.K., Gonçalves, P.J.S., Kar, A.K. (eds) Proceedings of International Conference on Recent Innovations in Computing. ICRIC 2023. Lecture Notes in Electrical Engineering, vol 1194. Springer, Singapore. https://doi.org/10.1007/978-981-97-2839-8_45
  • Kour, N., Gupta, S., & Arora, S. (2021). A Vision-based Gait Dataset for Knee Osteoarthritis and Parkinson’s disease Analysis with Severity Levels. Advances in Intelligent Systems and Computing, Springer.

  • Wani, Insha Majeed, and Sakshi Arora. “A review on using dental images as a screening tool for osteoporosis.” Proceeding of International Conference on Computational Science and Applications: ICCSA 2019. Springer Singapore, 2020.

  • Majeed, I., Arora, S. (2019). “Deep Neural Networks for Diagnosis of Osteoporosis”. Lecture Notes in Electrical Engineering, 978-3-319-15764-1. Springer International Publishing Switzerland.

  • Rashid, W., Arora, S., Gupta, M. (2019) Missing Value Imputation Approach Using Cosine Similarity Measure. Accepted for publication in Advances in Intelligent Systems, Computing 978-981-13-2413-0.

  • Arora, S., Garg, M.L. (2013). Strongly Biased Crossover Operator for Subgraph Selection in Edge-Set Based Graph Representation. Advances in Intelligent Systems and Computing. ISSN: 1867-5662.

Conference Publications
  • Kalsotra, R., & Arora, S. (2020). Comparative Study of Statistical and Deep Learning Models on Background Subtraction for Moving Object Detection. In International Conference on Mathematical Sciences and Computational Intelligence, December 21-22, 2020, (SMVDU).
  • Wani, Insha Majeed, and Sakshi Arora. “A knee X-ray database for osteoporosis detection.” 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO). IEEE, 2021.
  • Navleen Kour, Sunanda, Sakshi Arora “A Computer Vision based Approach towards Evaluation of Knee Osteoarthritis and Parkinson’s disease via Gait Analysis”. proceedings of the 6th International Conference on Recent Trends and Advancements in Engineering and Technology (ICRTAET), 2020, Shri Mata Vaishno Devi University, ISBN No. 978-93-88484-94-7.
  • Navleen Kour, Sunanda, Sakshi Arora “A Survey of Gait Analysis for Identification of Parkinson’s Disease”, International Conference on Mathematical Sciences and Computational Intelligence (ICMSCI), 2020, School of mathematics, Shri Mata Vaishno Devi University Jammu and Kashmir.
  • Preet Kour, Vippon, and Sakshi Arora. “Recent advancements of internet of things in the design and development of precision models”, in the 6th International Conference on Recent Trends and Advancements in Engineering and Technology (ICRTAET 2019-2020).
  • Preet Kour, Vippon, and Sakshi Arora. “Vision based techniques for image classification: A survey.” Proceedings of the International Conference on Innovative Computing & Communications (ICICC). 2020.
  • Diagnosis of Osteoporosis from Knee X-rays using Local Binary Pattern. 2nd International Conference on Innovations in Communications Computing and Sciences, 2394-5125. July 24-25, 2020. Vol.7, Issue 18 2020. Pg : 421-426
  • Singh, Jasvinder Pal, et al. “A multi-gait dataset for human recognition under occlusion scenario.” 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). Vol. 1. IEEE, 2019.
  • Computer vision-based diagnosis of neurodegenerative diseases using medical image analysis: a survey in two days international conference on “Mathematical Sciences and Computational Intelligence” organized by SMVDU.
  • Kumar Sudesh, Arora Sakshi, Sunanda, “Light-Fidelity: Next Generation Wireless Networks- A Survey, 2nd International Conference on Smart Systems and Inventive Technology (ICSSIT 2019) 27th -29th Nov. 2019. Francis Xavier Engineering College, Tirunelveli, India.
  • Satish, Sunanda, Arora Sakshi, “A Survey on the State of Art Approaches Used in Intrusion Detection System”, (165-176), International Conference on Machine Learning and Computational Intelligence, 28th -29th Sep.2017.
  • Kalsotra, Rudrika, and Sakshi Arora. “Morphological based moving object detection with background subtraction method.” 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2017.
  • Rudrika Kalsotra, Sakshi Arora, ” Recent Trends in Background Subtraction Approach for Moving Object Detection, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.261-271, September-2017.
  • Arora Sakshi, “A Elitist Genetic-Cuckoo hybrid search algorithm for Engineering Optimization”, 3rd International Conference on Recent Trends and Advancements in Engineering and Technology 2016 (17-18 November).
  • Kumar Satish, Sunanda, Arora Sakshi., “A Comparative Analysis of Bacterial Foraging Optimization Algorithm”, 3rd International Conference on Recent Trends and Advancements in Engineering and Technology 2016 (17-18 November).
  • Malhotra Acanchal, Arora Sakshi, “Analysis of Ant Colony and Particle Swarm Optimization Techniques for the Travelling Salesman Problem”,3rd International Conference on Recent Trends and Advancements in Engineering and Technology 2016 (17-18 November).
  • Kaur, Vippon preet, Arora Sakshi, “A Naïve precision Agriculture System Model using Internet of Things”, 3rd International Conference on Recent Trends and Advancements in Engineering and Technology 2016 (17-18 November).
  • Arora Sakshi and Gupta, Sunanda, “Effect of the Core Selection Strategy in Determining the Optimum BDMST in Multicast Networks”, Advances in Computer Science and Information Technology Vol (2),2, (2015): pp. 249-251.
  • Gupta, Sunanda., and Arora,Sakshi , “Cloud for Data Mining: Issues and Challenges”, International Conference on Advancements in Engineering and Technology, Sangrur, 18th -19th March, 2016.
  • Arora, Sakshi., and Gupta, Sunanda., “Enhanced K-means clustering for route discovery in Multicast networks”, Advancements in Engineering and Technology, Sangrur, 18th -19th March, 2016.
  • Gupta, Sunanda., and Arora,Sakshi , “An Archive Enhanced Hybrid Genetic Algorithm for Shortest Path Routing Problem” , International conference on computer and communication technology, MNIT Allahabad, September 25th -27th 2015.
  • Arora, Sakshi, and M. L. Garg. “Neighborhood search for the bounded diameter minimum spanning tree.” Int. J. Emerg. Technol. Adv. Eng 3.2 (2013).
  • Arora, Sakshi, and M. L. Garg. “Clustering the data points to obtain optimum backbones for the bounded diameter minimum spanning trees.” Communication Systems and Network Technologies (CSNT), 2011 International Conference on. IEEE, 2011.
  • Arora S., Padha D., A Greedy Heuristic for the bounded diameter minimum spanning tree”. JK Science Congress (2010). University of Jammu.
  • Arora, Sakshi., and Garg,M.L. ” New hybrid evolutionary algorithm for solving the bounded diameter minimum spanning tree problem.” Advances in Computational Research 1.2 (2009), pp. 43-46.
  • Arora, Sakshi., and Garg,M.L., “A mobile agent based intelligent immune Network Intrusion Detection architecture” at National Conference on “Emerging Principles and Practices of Computer Science and Information Technology (EPPCSIT 2009)”, Sep 2009, Ludhiana.
  • Gupta, Sunanda., and Arora,Sakshi., “Role of IT in Developing Countries” National Conference on India and Other Emerging Economies (BRIC) – A Comparative study” held on October 24,2007.
  • Arora, Sakshi., and Gupta,Sunaplantaeknda., “Correlating Information Technology and National Development in Indian Context” at National Conference on India and Other Emerging Economies – A Comparative study” held on October 24,2007.
  • Gupta, Sunanda., “Genetic algorithms as a meta search tool in web mining” at IETE National conference on ‘Emerging trends in Electronics technologies NCTET, at IETE Conference in collaboration with Shri Mata Vaishno Devi University 2006.
  • Arora, Sakshi, “Linux and Perl, Computer tools in study & analysis of biological information.” National Conference on Bioinformatics Computing. 19th Feb 2006.
  • Arora, Sakshi., “Evolution of Biology and Computers” at “Biocon: 2006” National conference on “Bioinformatics computing”, Chowdhary Devi Lal University, Haryana.
  • Arora, Sakshi., “Parallel Computing and the issues” at 3rd International conference on ‘Mobile, Ubiquitous and pervasive computing’, VIT University, December 2006.
  • Arora Sakshi., “On Genetic Algorithms and Optimal Path finding” at U.G.C Sponsored National Conference on “Emerging computer Technologies” 2005. Haryana.
  • Arora, Sakshi. “Protein Folding: A Stochastic Process” at JK Science Congress 2005.
Invited Talk
  • Delivered a Lecture in the 7 Day Foundational Training: MS Word, MS excel and Email Basics29th Jan -6th Feb. 2024. Organised by Shri Mata Vaishno Devi University.
  • Delivered a Lecture in the One week FDP on Machine Learning for Business Intelligence (Online Mode) 28.2.24-5.3.24 . Organized by the Deptt. Of Computer Science & Engg., SMVDU in collaboration with Malviya Mission Teachers Training Centre.
  • Delivered a Lecture in the One Week NEP 2020 Orientation & Sensitization Programme under Malaviya Mission Teacher Training Programme (MM-TTP) of UGC 23.01.2024 – 31.01.2024. Organised by Malviya Mission Teachers Training Centre, Central University of Jammu.
  • Delivered a Lecture in the One Week NEP 2020 Orientation & Sensitization Programme under Malaviya Mission Teacher Training Programme (MM-TTP) of UGC 15.05.2024 – 23.05.2024. Organized by Malviya Mission Teachers Training Centre, Central University of Jammu.
  • Invited as Resource Person in 10 days Workshop on Data Analytics Using R Software from 18.07.22 – 28.07.22. Organised by the Department of HRM, Central University of Jammu.
  • Delivered a Lecture on Sexual harassment at workplace – sensitization and awareness ; Understanding of POSH Act 2013, at the  Training programme at Officers training institute, J&K Bank Gole Gujral, on 19.5.23.
  • Delivered a Lecture on the Status of Women; Present and Past. Social Psychological and economic status of women in India.In the Two Week’s “GO’s Refresher Course”, on 14.9.2022, held by Sher-e-Kashmir, Police Academy, Udhampur.
  • Invited as Expert for the conduct of interviews for recruitment of field investigators for DRDO sponsored project, on 23rd April 2021. Conducted by Central University of Jammu.
  • Lecture Delivered on: “The Role of Big Data, Artificial Intelligence and Machine Learning in Cyber Intelligence”. 31.03.2021. In the Digital Literacy: Training program on “Soft Skills and Personality Development”. Organized by Central University of Jammu at Govt. College of Education, Canal Road Jammu.
  • Lecture Delivered on: “Social Media Optimization”, 01.04.2021. In the Digital Literacy: Training program on “Soft Skills and Personality Development”. Organized by Central University of Jammu at Govt. College of Education, Canal Road Jammu. 
  • Talk delivered on “Tools to fight social media abuse: Blocking/Takedown/Preservation”. 23.02.2018. In the two days Seminar on “Social Media in Indian Police”. Organised by Sher-e-Kashmir Police Academy, Udhampur
  • Talk on “Cyber Security in Indian Police”, in 2 days Seminar on “Social Media in Indian Police”, organised by Sher-e-Kashmir Police Academy, Udhampur. 24.02.2018.
  • “Cyber Law Framework to Fight Social media Abuse: The Indian Perspective”, in Four Week Refresher Course, organized by Central University of Jammu. 16th March 2017.  
  • “Computer Forensics”, in 04 day training course on Disc Forensics, organised by Sher-e-Kashmir Police Academy, Udhampur. 22nd May 2017.
  • “Cyber Crime & Cyber Forensic Tools”, in UGC- sponsored General Orientation Course, organized by Human Resource Development Centre, University of Jammu. 18.12.2017 to 15.01.2018. 

 

Profile Last updated: February 6, 2025
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