admission@niet.co.in
+91-8010-500-700
Ms. Sonia Arora
Assistant Professor and Dy. Head
Artificial intelligence and Machine Learning (AIML)
Experience
13.2 Years
Ms. Sonia Arora , Deputy Head of the AIML 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 13 years. She is the active member of IEEE. Sonia is a prolific researcher with approximately 8 published papers and 4 book chapter in esteemed journals, indexed by Scopus, IEEE, Springer. Beyond her research contributions, Sonia's innovative spirit shines through her portfolio of around 8 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
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-
Arora, S., Mishra, G.S., Gupta, M. (2024). Study of Deep Learning-Based Segmentation and Classification of Brain Tumors in MRI Images. In: Shaw, R.N., Siano, P., Makhilef, S., Ghosh, A., Shimi, S.L. (eds) Innovations in Electrical and Electronic Engineering. ICEEE 2023. Lecture Notes in Electrical Engineering, vol 1115. Springer, Singapore. https://doi.org/10.1007/978-981-99-8661-3_41
Arora, S., Mishra, G.S. (2024). Adaptive Loss and Deep Convolutional Neural Networks: A Blending Approach to Self-adaptive Deep Learning Models for Brain Tumor Classification. In: Shaw, R.N., Das, S., Paprzycki, M., Ghosh, A., Bianchini, M. (eds) Advanced Computing and Intelligent Technologies. ICACIT 2023. Lecture Notes in Networks and Systems, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-97-1961-7_33
Raghavendra, R. & Singh, Vaishali & Arora, Sonia & Gupta, Mohan. (2024). Sensor-based human activity detection using a novel machine learning algorithm in home automation. Multidisciplinary Science Journal. 6. 2024ss0302. 10.31893/multiscience.2024ss0302.
Jain, Ayush & Bisht, Sovers & Arora, Sonia & Anand, Bibhash. (2023). A Comparative Study on Deep Learning Techniques Using Sentiment Analysis. 545-550. 10.1109/ICAC3N60023.2023.10541790.
Book Chapter :
Arora, Sonia & Rai, Mritunjay & Gupta, Manali. (2024). Importance of Industry 5.0 in Understanding Emotional intelligence. 10.4018/979-8-3693-6806-0.ch011.
Professional Distinctions
Active member of IEEE Society.
Star performance in NIET in 2022 (3)
Star performance in NIET in 2024
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
