Biography

Dr. Manoj Kumar

University of Wollongong, UAE


Email: wss.manojkumar@gmail.com


Qualifications

2019 Ph.D., The Northcap University, Gurugram

2012-2013 M.Sc., Institute of Technology Blanchardstown, Ireland

2011-2012 M.T., ITM University, India

2004-2008 B.T., Kurukshetra University, India


Publications (Selected)
  1. Kaushik K.Bharadwaj A., Kumar M., Gupta S.K., Gupta A., 2022, “A novel machine learning-based framework for detecting fake Instagram profiles”, Concurrency and Computation: Practice and Experience, DOI: https://doi.org/10.1002/cpe.7349.
  2. Bedi, P., Das, S., Goyal, S. B., Shukla, P. K., Mirjalili, S., & Kumar, M., 2022, “A Novel Routing Protocol based on Grey Wolf Optimization and Q Learning for Wireless Body Area Network”, Expert Systems with Applications, Vol. 210, 118477, DOI: https://doi.org/10.1016/j.eswa.2022.118477.
  3. Chithaluru P., Stephan T., Kumar M., Nayyar A., 2022, “An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT”, Neural Computing and Applications, DOI: 10.1007/s00521-022-07515-8.
  4. Ahuja N.J, Dutt S., Choudhary S.L, Kumar M., (2022) “Intelligent Tutoring System in Education for Disabled Learners Using Human–Computer Interaction and Augmented Reality”, International Journal of Human–Computer Interaction, DOI: 10.1080/10447318.2022.2124359.
  5. Kumar S., Gupta S.K., Kumar V., Kumar M., Chaube M. K. Naik N.S., 2022 “Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19”, Computers & Electrical Engineering, pp. 108396, DOI: 10.1016/j.compeleceng.2022.108396.
  6. Singh A., Obaidat M. S., Singh S., Kumar M. et al., 2022, “A Simulation Model to Reduce the Fuel Consumption through Efficient Road Traffic Modelling,” Simulation Modelling Practice and Theory, pp. 102658, DOI: https://doi.org/10.1016/j.simpat.2022.102658.
  7. Alsahref, A., Aggarwal, K., Sonia, Kumar, M., Mishra, A., 2022, “Review of ML and AutoML Solutions to Forecast Time-Series Data”, Archives of Computational Methods in Engineering, DOI: https://doi.org/10.1007/s11831-022-09765-0.
  8. Kumar, A., Jain, S., Kumar, M., 2022, “Face and gait biometrics authentication system based on simplified deep neural networks”, International Journal of Information Technology, https://doi.org/10.1007/s41870-022-01087-5.
  9. Sharma P., Kumar, M., Sharma R., Bhushan S., Gupta S., 2022“An automated system to detect crop diseases using deep learning”, International Journal of Computational Vision and Robotics, DOI: 10.1504/IJCVR.2022.10048421.
  10. Jayaraman R., Srivastava, A., Kumar M., 2022“Blockchain technology for protection of biomedical documents in healthcare society”, International Journal of Internet Technology and Secured Transactions, DOI: 10.1504/IJITST.2022.10047205.
  11. Bhati B.S., shankar, A., Saxena S., Saxena T., Anbarasi M., Kumar M., 2022“An ensemble-based approach for image classification using voting classifier”, International Journal of Modelling, Identification and Control, DOI: 10.1504/IJMIC.2022.10048945.
  12. Shailendra, R., Jayapalan, A., Velayutham, S., Kumar M., et al., 2022, “An IoT and Machine Learning Based Intelligent System for the Classification of Therapeutic Plants”, Neural Processing Letters, DOI: https://doi.org/10.1007/s11063-022-10818-5.
  13. Samriya J.K., Tiwari R., Cheng x., Singh R.K., Shankar A., Kumar M., 2022, “Network Intrusion Detection using ACO-DNN Model with DVFS Based Energy Optimization in Cloud Framework”, Sustainable Computing: Informatics and Systems, No. 2022, pp. 100746, DOI: https://doi.org/10.1016/j.suscom.2022.100746.
  14. Kohli H., Agarwal J., Kumar M., 2022 “An Improved Method for Text Detection using Adam Optimization Algorithm” Global Transitions Proceedings, https://doi.org/10.1016/j.gltp.2022.03.028.
  15. Raheja S., Obaidat M. S., Kumar M., Sadoun B., Bhushan S., 2022, “A Hybrid MCDM Framework and Simulation Analysis for the Assessment of Worst Polluted Cities,” Simulation Modelling Practice and Theory, vol. 109, pp. 102281, DOI: https://doi.org/10.1016/j.simpat.2022.102540.
  16. Madhu, G., Govardhan, A., Ravi, V., Kumar M. et al., 2022, “DSCN-net: a deep Siamese capsule neural network model for automatic diagnosis of malaria parasites detection”, Multimedia Tools and Applications, https://doi.org/10.1007/s11042-022-13008-6.
  17. Bhardwaj, A., Alshehri, M.D., Kaushik, K., Alyamani, H.J., Kumar, M., 2022 "Secure framework against cyber-attacks on cyber-physical robotic systems," Journal of Electronic Imaging, Vol. 31, No. 6, 061802 (2022), doi: 10.1117/1.JEI.31.6.061802.
  18. Deep G., Kaur J., Singh S.P., Nayak S.R., Kumar M., Kautish S., 2022 "MeQryEP: A Texture Based Descriptor for Biomedical Image Retrieval", Journal of Healthcare Engineering, vol. 2022, Article ID 9505229, 20 pages, 2022. https://doi.org/10.1155/2022/9505229.
  19. Shuaib M., Hassan N.H., Usman S., Kumar M., et al., 2022 "Self-Sovereign Identity Solution for Blockchain-Based Land Registry System: A Comparison", Mobile Information Systems, vol. 2022, Article ID 8930472, 17 pages, 2022. https://doi.org/10.1155/2022/8930472.
  20. Bhardwaj, A., Dagar, V., Khan, Kumar M. et al. 2022, “Smart IoT and Machine Learning-based Framework for Water Quality Assessment and Device Component Monitoring” Environmental Science and Pollution Research, DOI: https://doi.org/10.1007/s11356-022-19014-3.
  21. Bhardwaj, A., Kumar, M., Alshehri, M., Abugabah, Keshta.I., Abugabah A., Sharma S., 2022, “Smart Water Management Framework for Irrigation in Agriculture”, Environmental Technology, DOI: 10.1080/09593330.2022.2039783.
  22. Goswami, A., Krishna M.M., Vankara V., Kumar M. et al. 2022, “Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers” Computational Intelligence and Neuroscience, vol. 2022, Article ID 9194031, 18 pages, 2022. https://doi.org/10.1155/2022/9194031.
  23. Mongia, S., Sharma, S., Natarajan, J., Kumar, M., et al., 2022. Prediction of COVID-19 epidemic curve of India using supervised learning approach. International Journal of Computer Applications in Technology, 66(3-4), 433-441, DOI: 10.1504/IJCAT.2021.120469.
  24. Aggarwal A., Chakradar M., Bhatia M.S., Kumar M., et al., 2022, "COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches", Journal of Healthcare Engineering, vol. 2022, Article ID 4096950, 10 pages, 2022. https://doi.org/10.1155/2022/4096950.
  25. Bhardwaj, A., Mohamed, A. A., Kumar, M., Alshehri, M., Abugabah, A., 2022, “Real-time Privacy Preserving Framework for Covid-19 Contact Tracing”, CMC-Computers, Materials & Continua, vol. 70, No.1, 1017–1032, DOI:10.32604/cmc.2022.018736.
  26. Bhardwaj, A., Kumar M., Stephan T., Shankar A., Galib. M.R., Abujar S., 2022, “IAF: IoT Attack Framework and Unique Taxonomy” Journal of Circuits, Systems and Computers, DOI: 10.1142/S0218126622500293.
  27. Kaushik B., Ahuja, N.J., Kumar M., (2022), ‘Socio economic well-being of rural women in Dehradun district: An investigative method’, International Journal of Technology Management & Sustainable Development, 21:1, pp. 85–113, https://doi.org/10.1386/tmsd_00053_1.
  28. Kumar M., Aggarwal J., Rani A., Stephan T., Shankar A., Mirjalili S., 2021 “Secure Video Communication Using Firefly Optimization and Visual Cryptography” Artificial Intelligence Review, DOI: 10.1007/s10462-021-10070-8.
  29. Chithaluru P., AL-Turjman F., Kumar M., Stephan T., 2021, "MTCEE-LLN: Multi-layer Threshold Cluster-based Energy Efficient Low Power and Lossy Networks for Industrial Internet of Things," in IEEE Internet of Things Journal, vol. 9, no. 7, pp. 4940-4948, doi: 10.1109/JIOT.2021.3107538.
  30. Garg, A., A, S., Kumar, M. et al., 2021, “Blockchain-Based Online Education Content Ranking”, Education and Information Technology, DOI: https://doi.org/10.1007/s10639-021-10797-5.
  31. Bhardwaj A., Al-Turjman F., Sapra V., Kumar M., Stephan T., 2021 “Privacy-Aware Detection Framework to Mitigate New-Age Phishing Attacks”, Computers & Electrical Engineering, Volume 96, Part A, pp. 107546, DOI: 10.1016/j.compeleceng.2021.107546.
  32. Raheja S., Alshehri M., Mohamed A.A., Khaitan S., Kumar M., Thompson S., 2021, “A Smart Intuitionistic Fuzzy-Based Framework for Round-Robin Short-Term Scheduler” Journal of Supercomputing, DOI: 10.1007/s11227-021-04052-4.
  33. Chithaluru P., Al-Turjman F., Stephen T., Kumar M., Mostarda L., 2021, “Energy-Efficient Blockchain Implementation for Cognitive Wireless Communication Networks” Energy Reports, DOI: 10.1016/j.egyr.2021.07.136.
  34. Raheja S., Kasturia S., Cheng X., Kumar M., 2021, “Machine Learning Based Diffusion Model for Prediction of Coronavirus-19 Outbreak” Neural Computing and Applications, DOI: 10.1007/s00521-021-06376-x.
  35. Janarthanan R, Maheshwari RU, Shukla PK, Shukla PK, Mirjalili S, Kumar M., 2021, “Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems”, Energies. 2021; 14(20):6584. https://doi.org/10.3390/en14206584.
  36. Dutt S., Ahuja, N.J., Kumar M., 2021, “An Intelligent Tutoring System Architecture based on Fuzzy Neural Network (FNN) for Special Education of Learning-Disabled Learners” Education and Information Technology, DOI: 10.1007/s10639-021-10713-x.
  37. Thapliyal, M., Ahuja, N.J., Shankar, A., Cheng X., Kumar M., 2021, “A Differentiated Learning Environment in Domain Model for Learning Disabled Learners”, Journal of Computing in Higher Education, DOI: 10.1007/s12528-021-09278-y.
  38. Singh A., Alshehri M., Majumdar P., Mohammed A.A., Kumar M., Abugabah A., Algarni A., 2021, “Machine Learning and Deep Learning Approaches Against Botnet Attacks on Internet of Things Network” Soft Computing, DOI: 10.1007/s00500-021-06240-z.
  39. Alshehri M, Kumar M, Bhardwaj A, Mishra S, Gyani J., 2021, “Deep Learning Based Approach to Classify Saline Particles in Sea Water”, Water, 2021; 13(9):1251., https://doi.org/10.3390/w13091251.
  40. Singh V.P., Aggarwal J., Kumar M., 2021, “RtC Drone: Implementation of intelligent autonomous patrolling using Round the Clock Drone” Turkish Journal of Computer and Mathematics Education, Vol. 12 No. 13, (2021), pp. 582-590.
  41. Chithaluru P., Khan M.S., Kumar M., Stephen T., 2021, “ETH-LEACH: An Energy-Efficient Routing Protocol for Wireless Sensor Networks” International Journal of Communication Systems (IJCS), Vol. 34. No. 12, DOI: https://doi.org/10.1002/dac.4881.
  42. Rani, A., Jain A. K., Kumar M., 2021, “Identification of Copy-Move and Splicing based Forgeries using Advanced SURF and Revised Template Matching”, Multimedia Tools and Applications (MTAP), Vol. 80, No-16, pp. 23877-23898, DOI: https://doi.org/10.1007/s11042-021-10810-6.
  43. Kumar, S., Viral, R., Deep, V., Sharma P., Kumar M., et al. 2021, “Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap”, Personal and Ubiquitous Computing (2021). DOI: https://doi.org/10.1007/s00779-021-01530-7.
  44. Dhasarathan, C., Kumar, M., Srivastava, A.K. et al. 2021, “A Bio-Inspired Privacy-Preserving Framework for Healthcare Systems”, Journal of Supercomputing (2021). DOI: https://doi.org/10.1007/s11227-021-03720-9.
  45. Alshehri M., Bharadwaj A., Kumar M., Mishra S., Gyani J., 2021, “Cloud and IOT based Smart Architecture for Desalination Water Treatment” Environmental Research, vol. 195, pp. 110812 DOI: https://doi.org/10.1016/j.envres.2021.110812.
  46. Singh P., Diwakar M., Shankar A., Shree R., Kumar M., 2021, “A Review on SAR Image and its Despeckling”, Archives of Computational Methods in Engineering, DOI: https://doi.org/10.1007/s11831-021-09548-z.
  47. Chakaradar M., Aggarwal A., Cheng X., Rani A., Kumar M., Shankar A., 2021, “A Non-invasive Approach to Identify Insulin Resistance with Triglycerides and HDL-c Ratio using Machine Learning” Neural Processing Letters, DOI: https://doi.org/10.1007/s11063-021-10461-6.
  48. Raheja S., Obaidat M. S., Sadoun B., Malik S., Rani A., Kumar M., Stephan T., 2021, “Modeling and Simulation of Urban Air Quality with a 2-Phase Assessment Technique” Simulation Modelling Practice and Theory, vol. 109, pp. 102281, DOI: 10.1016/j.simpat.2021.102281.
  49. Aggarwal J., Kumar M., 2021, “Software Metrics for Reusability of Component Based Software System: An Investigation” International Arab Journal of Information Technology (IAJIT), Vol. 18, No. 3, May 2021, DOI: https://doi.org/10.34028/iajit/18/3/8.
  50. Singh H., Kumar A., Ravulakollu, K. K., Kumar M., Stephen T., 2021, “Uncertainties Evaluation and Analysis using Quantative Techniques for a Software Project” International Journal of Ad Hoc and Ubiquitous Computing, Vol. 38, No.1-3, pp. 70-81.
  51. Srivastava S.; Saxena S.; Buyya R. K., Kumar M., Shankar A., Bhushan B., 2021, “CGP: Cluster-Based Gossip Protocol for Dynamic Resource Environment in Cloud”, Simulation Modelling Practice and Theory, Vol 108, No. April 2021, pp. 102275, DOI: 10.1016/j.simpat.2021.102275.
  52. Bhushan S., Kumar M., Kumar P., Thompson S., Shankarr A., Liu P., 2021, “FAJIT: A Fuzzy-Based Data Aggregation Technique for Energy Efficiency in Wireless Sensor Network”, Complex & Intelligent Systems, DOI: https://doi.org/10.1007/s40747-020-00258-w.
  53. Kassa S., Gupta P., Kumar M., Thompson s., Kannan R., 2021, “Rotated Majority Gate based 2n-bit Full Adder design in Quantum-dot Cellular Automata Nanotechnology” Circuit World, Vol. 48, No 1, pp. 48-63, 2022 DOI: https://doi.org/10.1108/CW-06-2020-0120.
  54. Kumar M., Punia S., Thompson S, Gopal D, Patan R., 2021, “Performance Analysis of Machine Learning Algorithms for Big Data Classification” International Journal of E-Health and Medical Communications (IJEHMC), Vol. 12, No. 4, pp. 60-75, DOI: 10.4018/IJEHMC.20210701.oa4.
  55. Singh A.K., Alshehri M., Bhushan S., Kumar M., Alfarraj O., Pardarshani K.R., 2021, “Secure and Energy Efficient Data Transmission Model for WSN”, Intelligent Automation & Soft Computing, Vol. 25, No. 3, 2021, pp. 761-769, DOI: 10.32604/iasc.2021.012806.
  56. Aggarwal A., Alshehri M., Kumar M., Sharma P., Alfarraj O., Deep V., 2020, “Principal component analysis, hidden Markov model, and artificial neural network inspired techniques to recognize faces” Concurrency and Computation: Practice and Experience, 2021; Vol.33, No. 9, e6157, DOI: https://doi.org/10.1002/cpe.6157.
  57. Aggarwal, A., Alshehrii M., Kumar M., Alfarraj O., Sharma P., Pardasani K.R., 2020, “Landslide Data Analysis Using Various Time-Series Forecasting Models”, Computers and Electrical Engineering, vol. 88 (2020) 106858, DOI: https://doi.org/10.1016/j.compeleceng.2020.106858.
  58. Aggarwal, A., Kumar M., 2020, “Image surface texture analysis and classification using deep learning”, Multimedia Tools and Applications (MTAP), Vol. 80, NO. 1, pp. 1289-1309, https://doi.org/10.1007/s11042-020-09520-2.
  59. Bhardwaj A., Shah S.B.H., Shankar A., Alazab M., Kumar M., Reddy G.T., 2020, “Penetration Testing Framework for Smart Contract Blockchain”, Peer-to-Peer Networking Applications, 2020, DOI: https://doi.org/10.1007/s12083-020-00991-6.
  60. Chithaluru P., Al-Turjman F., Kumar M., Stephan T., 2020, “I-AREOR: An Energy-balanced Clustering Protocol for Implementing Green IoT for Smart Cities”, Sustainable Cities and Society, 2020, Vol. 61, No. Oct 2020, pp. 102254, DOI: https://doi.org/10.1016/j.scs.2020.102254.
  61. Kumar M., Alshehri M., AlGhamdi R., Sharma P., Deep V., 2020, “A DE-ANN Inspired Skin Cancer Detection Approach using Fuzzy C-Means Clustering” Mobile Network and Applications, Vol. 25 (2020), PP. 1319–1329, DOI: https://doi.org /10.1007/s11036-020-01550-2.
  62. Bhardwaj A., Al-Turjman F., Kumar M, Stephan T., Mostarda L., 2020, “Capturing-the-Invisible (CTI): A Novel Approach for Behavior-based Attacks Recognition in Industrial Control Systems” IEEE Access, Vol.8, No.1, pp. 104956- 104966, DOI: 10.1109/ACCESS.2020.2998983.
  63. Aggarwal A, Rani A, Sharma P, Kumar M, Shankar A, Alazab M. 2020, “Prediction of Landsliding using Univariate Forecasting Models”, Internet Technology Letters. Vol. 5, no.1, pp. e209., DOI: https://doi.org/10.1002/itl2.209.
  64. Punia S. K., M. Kumar, Aggarwal J., Malik K., 2020, “Object Based Learning Using Multi-Dimensional Games”, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 23, No. 2: Sustainable Engineering for Science and Technology, pp. 509-524, DOI: https://doi.org/10.1080/09720529.2020.1728904.
  65. Aggarwal A., Rani A., Kumar M., 2019, “A Robust Method to Authenticate License Plates using Segmentation and ROI Based Approach”, Smart and Sustainable Built Environment, DOI: https://doi.org/10.1108/SASBE-07-2019-0083.
  66. Kumar M., Rani A., Srivastava S., 2019, “Image Forensic based on Lighting Estimation”, International Journal of Image and Graphics, Vol. 19, No. 3, pp.195004:1-195004-14, July 2019, DOI: https://doi.org/10.1142/S0219467819500141.
  67. Goyal V., Singh G., Tiwari O., Punia S.., Kumar M., 2019, “Intelligent Skin Cancer Detection Mobile Application Using Convolution Neural Network” Journal of Advanced Research in Dynamical and Control Systems, Vol. 11, No. 7.
  68. Srivastava P., Kumar M., Deep V., Sharma P., 2019, “A Technique to Detect Copy-Move Forgery using Enhanced SURF”, International Journal of Engineering and Advanced Technology, Vol. 8, No. 6S, pp. 676-680, DOI:10.35940/ijeat.F1133.0886S19.
  69. Kumar M., Srivastava S., 2018, “Image Authentication by assessing Manipulations using Illumination”, Multimedia Tools and Applications, Vol. 78, No. 9, pp. 12451-1246, DOI: https://doi.org/10.1007/s11042-018-6775-x.
  70. Kumar M., Srivastava S., Uddin N., 2017, “Forgery detection using multiple light sources for synthetic images” Australian Journal of Forensic Sciences, Vol. 51, No. 3, pp. 243-250, DOI: http://dx.doi.org/10.1080/00450618.2017.1356871.
  71. Kumar M., Srivastava S., 2017, “Image forgery detection based on physics and pixels: a study”, Australian Journal of Forensic Sciences, Vol. 51, No. 2, pp. 119-134, DOI: https://doi.org/10.1080/00450618.2017.1356868.
  72. Kumar M., Srivastava S., 2016, “Identifying Photo Forgery using Lighting Elements”, Indian Journal of Science and Technology (IJST), Vol.9, no. 48, pp. 1-5, DOI: 10.17485/ijst/2016/v9i48/105748.
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