Indian Institute of Information Technology

Dr Arun PV

Assistant Professor

Office Address:

2nd Floor, Academic Building
Indian Institute of Information Technology, Sri City, Chittoor
630, Gnan Marg, Sri City, Satyavedu Mandal
Chittoor District - 517 646, Andhra Pradesh, India

Academic Qualifications

Education:

PhD (2020)

Indian Institute of Technology, Bombay
Thesis Title: Novel deep learning algorithms and architectures for hyperspectral image processing

Research Areas of Interest

Deep Learning, Image Processing, Remote Sensing, Explainable AI, Geo Informatics, Precision Agriculture

Awards / Honours

Postdoc offers from Nanyang Technological University, Singapore, University of Wisconsin–Madison, USA, Italian Institute of Technology, Italy, and University of Oulu, Finland.

SIDEER fellowship for outstanding postdoctoral scholar.

Vatat-Malag Ph.D. sandwich scholarship by the Israeli Council for Higher Education (CHE) (2019-2020).

Member of the organizing team of the World Congress for Computers in Agriculture (2018).

IEEE travel grant for attending IGARSS conference at Valencia, Spain (2018).

Best paper award sponsored by Japanese Society of Photogrammetry and Remotes sensing at Asian Conference of Remote sensing, New Delhi, India (2017).

Dept. of Science and Technology travel grant for WHISPERS conference at Los Angeles, USA (2016).

IEEE travel grant for attending IGARSS conference held at Beijing, China (2016).

Department Ph.D. representative (2016-2017).

Organizer for Distributed & Embedded High-Performance Computing Symposium (2016).

MHRD Teaching Assistantship Fellowship at Indian Institute of Technology Bombay (2015-2020).

Member of organizing committee for International Yoga Day conducted by Govt. of India (2015).

Projects

Publications

Journal Publications (No. of publications: 10)

P.V. Arun, and A. Karnieli, “Deep feature learning and latent space encoding for crop phenology analysis, “Expert Systems with Applications, 2020. Accepted for Publication. [IF: 7, Q1].

P.V. Arun, R. Sadeh, A. Avneri, Y. Tubul, C. Camino, K.M. Budhiraju, A. Porwal, R. N. Lati. P. J. Zarco-Tejada, Z. Peleg, and I. Herrmann, “Multimodal Earth observation data fusion: Graph-based approach in shared latent space,” Information Fusion, vol. 78, no. 02, pp. 20-39, Feb. 2022. https://doi.org/10.1016/j.inffus.2021.09.04 [IF:12.975, Q1].

P.V. Arun, and A. Karnieli “Deep learning-based phenological event modeling for classification of crops,” Remote Sensing, vol. 13, no. 13, p. 2477, Jun. 2021. https://doi.org/10.3390/rs13132477 [IF: 4.848, Q1].

P.V. Arun, B.K. Mohan, A. Porwal, and J. Chanussot “CNN based single image super-resolution of hyperspectral images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6106-6121, Sep. 2020. https://doi.org/10.1109/TGRS.2020.2973370 [IF: 5.6, Q1].

P.V. Arun, B.K. Mohan, A. Porwal, and J. Chanussot “CNN based spectral super-resolution of hyperspectral images,” Signal Processing, vol. 169, no. 4, 107394, Apr. 2020. https://doi.org/10.1016/j.sigpro.2019.107394 [IF: 4.662, Q1].

P.V. Arun, B.K. Mohan, and A. Porwal “Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images,” Computer Vision and Image Understanding, vol. 188, no. 11, 102797, Nov. 2019. https://doi.org/10.1016/j.cviu.2019.102797 [IF: 4, Q1].

P.V. Arun, B.K. Mohan, and A. Porwal, “Capsulenet based hyperspectral image classification,” IEEE Journal of Selected Applications in Remote Sensing, vol. 12, no. 6, pp. 1849-1865, Jun. 2019. https://doi.org/10.1109/JSTARS.2019.2913097 [IF: 3.784, Q1].

  • V. Arun, I. Herrmann, K.M. Budhiraju, and A. Karnieli, “Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images,” Pattern Recognition, vol. 88, no. 4, pp. 431-446, Apr. 2019. https://doi.org/10.1016/j.patcog.2018.11.033 [IF: 8, Q1].

P.V. Arun, B.K. Mohan, and A. Porwal, “Integration of contextual knowledge in unsupervised sub-pixel classification: variogram and non-variogram based approaches,” IEEE Geo-science and Remote Sensing Letters, vol. 15, no. 2, pp. 262-266, Feb. 2018. https://doi.org/10.1109/LGRS.2017.2785308 [IF: 3.966, Q1].

P.V. Arun, B.K. Mohan, and A. Porwal, “CNN based sub-pixel mapping for hyperspectral images,” Neurocomputing, vol. 311, no. 5, pp. 51-64, May 2018. https://doi.org/10.1016/j.neucom.2018.05.051 [IF: 6, Q1].

Book Chapters (No. of publications: 2)
  • Tulapurkar, S. Z. Choudhary, R. Ansari, P. V. Arun, J. Mohanty, P. Venkatachalam, and K. M. Buddhiraju, “Digital Watermarking of Geospatial Data,” Geospatial Infrastructure, Applications and Technologies: India Case Studies, Springer, Singapore, 2019. https://doi.org/10.1007/978-981-13-2330-0_21. 
  • V. Arun, R. Ansari, and K. M. Buddhiraju, “Digital Image Processing and Analysis,” Earth Sciences Series. Encyclopedia of Mathematical Geosciences, Springer, Singapore, 2020.
Conference Publications (No. of publications: 07)
  • M. Sahoo, A. P. V. and A. Porwal, "Support Vector Machines for Unmixing Geological Mixtures," 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021, pp. 1-6.

P.V. Arun, B.K. Mohan, and A. Porwal, “Capsulenet based hyperspectral image classifier,” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018.

P.V. Arun, B.K. Mohan, and A. Porwal, “Inversion of deep networks for modelling variations in spatial distributions across spatial scales,” IEEE International Geo Science And Remote Sensing Symposium (IGARSS), 2018.

P.V. Arun, and B.K. Mohan, “Spectral un-mixing and Sub-Pixel Classification: An analysis of learning strategies,” Asian Conference of Remote Sensing, 2017 [Best paper award].

P.V. Arun, B.K. Mohan, and A. Porwal, “Integration of Contextual Knowledge in Unsupervised Sub-Pixel Classification,” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016.

P.V. Arun, and B.K. Mohan, “A Deep Learning Based Spatial Dependency Modelling Approach towards Super-Resolution,” IEEE International Geo Science And Remote Sensing Symposium (IGARSS), 2016.

P.V. Arun, and B.K. Mohan, “Classification and Clustering Perspective towards Spectral Un-mixing,” IEEE International Geo Science And Remote Sensing Symposium (IGARSS), 2016.

Students

Teaching

Contact Information

Address for Communication:

2nd Floor, Academic Building
Indian Institute of Information Technology, Sri City, Chittoor
630, Gnan Marg, Sri City, Satyavedu Mandal
Chittoor District - 517 646, Andhra Pradesh, India