Specialization

Deep learning, Image processing, Remote Sensing

Email

ashish.soni@thapar.edu

Biography

Dr. Ashish Soni serves as an Assistant Professor in the Electrical and instrumentation Engineering Department at Thapar University. With a profound passion for Remote sensing and Deep Learning Technology. Dr.  Soni brings a wealth of academic knowledge and practical experience to the classroom.

Their scholarly work encompasses a diverse range of topics, including Image processing, object detection and Multi-source image integration. They have authored numerous publications in reputable journals, contributing significantly to the field's intellectual discourse.

Dr. Soni is dedicated to fostering an engaging and interactive learning environment. Their teaching philosophy revolves around encouraging critical thinking, innovation, and holistic development among students. They actively mentor and guide students, nurturing their intellectual curiosity while imparting practical skills crucial for their academic and professional growth.

Education

1. Ph.D. in Deep learning, Remote Sensing and Image processing from Indian Institute of Technology, Dhanbad  in 2022
2. M. Tech in Geomatics/Geo-informatics from Indian Institute of Technology, Dhanbad in 2016
3. B.E. in Computer Sciecne and Engineering from Rajiv Gandhi Technical University, Bhopal / in 2012

Experience: Total Teaching Experience 1.5 years

1. From March 2022 - Dec 2022: Assistant Professor, CSE, Lovely Professional University, Punjab.
2. From December 2022 - August 2023: Assistant Professor(L-10), Information Technology, Madhav Institute of Technology and Science (A Govt. funded institute), Gwalior, (M.P.).
3. From August 2023- Current: Assistant Professor, EIED, Thapar Institute of Engineering and Technology, Patiala, Punjab.

Teaching Interests:

1. Theory of Computation
2. Compiler Design 
3. Data Structure

Research Interest:

1. Image Processing and feature extraction
2. Remote Sensing feature compression
3. Applied Remote Sensing using Deep learning.

Publications:

Journals (In IEEE Format)

1. Soni, A., Koner, R., & Villuri, V. G. K. (2021). Fusion of Dual-Scale Convolution Neural Network for Urban Building Footprints. Ain Shams Engineering Journal. (online): https://doi.org/10.1016/j.asej.2021.10.017
2. Soni, A., Koner, R., & Villuri, V. G. K. (2023). Uncertainty based Regional-Decision Fusion of Multispectral and nDSM for Ultra-High Resolution UAV Imagery. (In-Press)
3. Singh, R. K., Soni, A., Kumar, S., Pasupuleti, S., & Govind, V. (2021). Zonation of flood prone areas by an integrated framework of a hydrodynamic model and ANN. Water Supply, 21(1), 80-97. https://doi.org/10.2166/ws.2020.252
4. Suman, S., Kumar, A., Kumar, D., & Soni, A. (2021). Augmenting possibilistic c-means classifier to handle noise and within class heterogeneity in classification. Journal of Applied Remote Sensing, 15(4), 044509. https://doi.org/10.1117/1.JRS.15.044509.

International Conferences:

1. Soni, A., Koner, R., & Villuri, V. G. K. (2020). M-Unet: Modified Unet segmentation framework with satellite imagery. In Proceedings of the Global AI Congress 2019 (pp. 47-59). Springer, Singapore. https://doi.org/10.1007/978-981-15-2188-1_4.
2.  Soni, A., Koner, R., & Villuri, V. G. K. (2020). Influence of Hyperparameter in Deep Convolution Neural Network Using High-Resolution Satellite Data. In Applications of Geomatics in Civil Engineering (pp. 489-500). Springer, Singapore. https://doi.org/10.1007/978-981-13-7067-0_38.
3.  Layek, S., Singh, R. K., Villuri, V. G. K., Koner, R., Soni, A., & Khare, R. (2020). 3D reconstruction: An emerging prospect for surveying. In Applications of Geomatics in Civil Engineering (pp. 71-81). Springer, Singapore. https://doi.org/10.1007/978-98113-7067-0_5.
4. Soewo, T., Soni, A., and Kaur, H., (2023). Brain Tumour Segmentation using Deep Learning Techniques: Comparative analysis. International conference on artificial intelligent and signal processing. (In-press).
5. Soewu,T., Kaur, H., Soni, A., and Sandhu,R., (2023). Applications of Deep Neural Networks for Tumor and Cancer Detection: A Review" 2023 (In-press)
6. Soni, A., Rakshit, S., & Koner, R. (2023). Mine Machinery Detection (MMD) from remote sensing images: A Comparative Study. International technology conference on emerging technologies for sustainable development.

National Conferences:

1. Mitra, S., Chaulya, S.K., Kumar, D., and Soni, A., An approach for implementation of iot enables smart environmental monitoring and strata monitoring system for underground coal mines. 10th AMC 2023, MGMI, Kolkata, W.B.(In-press)

Achievement, Awards and Recognitions

1. Attended _2  workshops at IIT indore, and IIT(ISM), Dhanbad.

Details of Sponsored Project (PI)

None

Message to Students & Community

Together, we're a force of change and progress. Your dedication to learning and engagement within our community is inspiring. Remember, each step forward, no matter how small, contributes to our collective growth.