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Ms. Sonia Arora

Assistant Professor

Computer Science and Business Systems

Ms. Sonia Arora is serving as an Assistant Professor in CSBS Department with M.tech in CSE. She is Pursuing her doctorate in the field of AI & ML.

She is in teaching profession for more than 12 years. She is the active member of IEEE. Sonia is a prolific researcher with approximately 8 published papers and one book chapter in esteemed journals, indexed by Scopus, IEEE, Springer, Elsevier . Beyond her research contributions, Sonia's innovative spirit shines through her portfolio of around 5 patents . Her work exemplifies her dedication to advancing AIML .Her areas of interest include image processing, machine learning, artificial intelligence, Automata Theory and Algorithm Design.

Education

Ph.D. (Pursuing)

AIML Sharda University,Greater Noida(U.P) India

M.Tech(2015)

CSE, GNIOT, Greater noida, India

B.E (2006)

CSE, Govt. engineering colege Bikaner(Rajasthan) India

Research

Machine Learning

Key Publications

  • Arora, Madhulika & Sarangdevot, Prof S & Rathore, Vikram & Deegwal, J.K. & Arora, Sonia. (2011). Refactoring, Way for Software Maintenance. International Journal of Computer Science Issues. 8.
  • Pathak R K , Aggarwal Y, Arora S , "" New Era of Android Platform – An Operational Method "" : International Journal of Innovations in Engineering and Technology (IJIET), Volume 5 Issue 4 August 2015, ISSN: 2319 – 1058
  • Sonia Arora, 2015. “An application for character recognition on android based mobile phones”, International Journal of Current Research, 7, (6), 17357-17365., June 2015
  • M. Gupta, S. K. Sharma, R. Saxena, S. Arora and Y. Singh, ""Compression and Extraction of the Region of Interest from Medical Images through Deep Learning Methods,"" 2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT), Meerut, India, 2021, pp. 243-247, doi: 10.1109/ICACFCT53978.2021.9837370.
  • M Gupta1, S K Sharma1, R Saxena1 and S Arora2, ""Analysis of machine learning algorithms in brain tumour prediction"" Journal of Physics: Conference Series, Volume 2070, Second International Conference on Advances in Physical Sciences and Materials 2021(ICAPSM 2021) 12-13 August 2021, India (Virtual) Citation M Gupta et al 2021 J. Phys.: Conf. Ser. 2070 012090,DOI 10.1088/1742-6596/2070/1/012090
  • Yusuf Mehdi and other authors. (2022) The Impact of Information and Communication Technologies on Education: A Gap Analysis of the Perception of Teachers and Students of Engineering Colleges in NCR. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies , 13 (10), 13A10A: 1-9.
  • S Arora, G.S. Mishra , M Gupta ""Study of Deep Learning-Based Segmentation and Classification of Brain Tumors in MRI Images"" : Proceedings of ICEEE 2023, Volume 2 ,ISBN978-981-99-8660-

Professional Distinctions

  • Active member of IEEE Society.
  • Star performance in NIET in 2022.

Key Research Projects

  • Patent published on ""System and method for plausible disease based on ai-enabled wearable devices"" with application no 202211063332.
  • Patent published on ""Efficient reservations of resources in distributed environment"" with application no 202311053392.
  • Patent published on ""Labelling the resources of different resource type based on availability in cloud computing "" with application no 2202311039797.
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