Dr. Shounak Chakraborty

Dr.SHOUNAK CHAKRABORTY, PhD


Assistant Professor (Grade-I),
Department of Computer Science and Engineering,
Email: shounak  [at] iiitk.ac.in | Contact Number: 08518-289100 - 132(E)

Academic Qualifications

  • Ph.D in Computer Science and Engineering from IIIT Guwahati

Areas of Interest

  • Artificial neural networks, remote sensing, pattern recognition and image processing

Professional / Teaching Experience

  • Welcome to my page. My name is Shounak and I have completed my PhD from the Indian Institute of Information Technology, Guwahati in August 2020. I have been awarded with the university Gold medal for standing first class first in M.Tech. I have also been a recipient of DST-INSPIRE fellowship (Fellow No.: IF150878), by Govt. of India for pursuing the doctoral studies 2015-20. I have four publications in SCI journals and nine in reputed conferences. Please click here to know more.

Publication Profile

Sponsored Research Projects

  • Name of the Project: VoluScan: Industry-Leading UAS for Raw Material Volumetric Analysis and Real-Time Monitoring
    Funding agency: DISHA grant, DST, Govt. of India
    Amount: INR 25 Lakhs
    PI: Dr. Shounak Chakraborty
    Co-PI: Dr. Eswaramoorthy K. V.
    Duration: 24 months

  • Name of the Project: OASIS: Online Aerial image-based Surface Information System
    Funding agency: IITI DRISHTI CPS under the aegis of NMICPS, DST, Govt. of India
    Amount: INR 8,64,300
    PI: Dr. Shounak Chakraborty
    Duration: 12 months

  •  Name of the Project: Stock verification at RMHP using LiDAR drones
    Funding agency: RINL and STPI (MeitY)
    Amount: INR 34,50,000 through a faculty startup Bhoodrishti Pvt. Ltd.
    PI: Dr. Shounak Chakraborty
    Co-PI: Dr. Eswaramoorthy K. V. and Dr. Jit Mukherjee
    Duration: 12 months

International Journal Publications

  1. S. Chakraborty, and M. Roy, “A neural approach under transfer learning for domain adaptation in land-cover classification using two-level cluster mapping,” Applied Soft Computing Journal, Elsevier, 64:508–525, 2018. (H-index: 110, Impact Factor: 5.472 ) 

  2. S. Chakraborty, M. Roy, and F. Melgani, “Semi-supervised Two-level Fusion based Auto-encoded Approach for Low-cost Domain Adaptation of Remotely Sensed Images” IEEE Geoscience and Remote Sensing letters, 16: 1041-1045, 2019. (H-index: 89, Impact Factor: 3.833 )

  3. S. Chakraborty, J. Phukan, M. Roy, and B. B. Chaudhuri, "Handling the class-imbalance in land-cover classification using bagging based semi-supervised neural approach" IEEE Geoscience and Remote Sensing letters, 17(9): 1493-1497, 2020. (H-index: 89, Impact Factor: 3.833)

  4. S. Chakraborty, and M. Roy, "A multi-level weighted transformation based neuro-fuzzy domain adaptation technique using stacked auto-encoder for land-cover classification" International Journal of Remote Sensing, Taylor and Francis, 41(17): 6831-6857, 2020. (H-index: 151, Impact Factor: 2.976) 

  5. I. Kalita, S. Chakraborty, TGB Reddy, M. Roy. “A deep learning-based technique for firm classification and domain adaptation in land cover classification using time-series aerial images”. Earth science informatics journal, Springer, 1-24, 2023. (H-index: 32, Impact factor: 2.8)

  6. V. M. Vemulapalli, S. Chakraborty, K. S. Babu. “An intensity-based deep approach to mitigate step-imbalance problem under extreme paucity of images from rare classes”. Multimedia tools and applications, Springer, Volume: 83 , 2024. (H-index: 96, Impact factor: 3.6)

  7. A. Chakravorty, and S. Chakraborty. "A novel semi-supervised approach for semantic segmentation of aerial remote sensing images under limited ground-truth availability". Signal Image and Video Processing Journal, Springer, Volume: 18, Springer. 2024. (H-index: 53, Impact factor: 3) 

International Conferences

  1. M. Deepika, V. M. Vemulapalli, S. Chakraborty. “XAI-driven analysis for handling pixel imbalance in semantic segmentation of aerial images with region-based augmentation”, accepted for publication in 45th IEEE International Geoscience and Remote Sensing Symposium to be held in Brisbane, Australia, 2025. (accepted)

  2. A. Chakravorty, Ajay Jakkireddy, S. Chakraborty. “Integration of Semi-Supervision and Active Learning for Effective Semantic Segmentation of Remote Sensing Images with Sparse Training Set,” in IEEE INGARSS, Goa, 2024. (in press)

  3. R. Abhishek, A. Chakravorty, and S. Chakraborty, " Active learning based semantic segmentation for extraction of minute objects from multispectral satellite images", in 42nd IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, pages 7274-7277 Malaysia, 2022. (link)

  4. S. Chakraborty, I. Kalita, and M. Roy, "Unsupervised domain adaptation in land-cover classification under neural approach using feature-level ensemble", in Proceedings of 39th IEEE Geoscience and Remote Sensing Symposium, pages 724-727, Yokohama, Japan, 2019. (link)

  5. S. Chakraborty, I. Kalita, and M. Roy, "An adversarial learning mechanism for dealing with the class-imbalance problem in land-cover classification", in 19th International Conference on Hybrid Intelligent Systems, Springer, pages 188-196, Bhopal, India, 2019. (link)

  6.  S. Chakraborty, N. Aggarwal, and M. Roy, "A deep semi-supervised approach for multi-label land-cover classification under scarcity of labelled images", in 10th International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, vol 1393. Springer, pages 1-12, Indore, India 2020. (link)

  7.  I. Kalita, S. Chakraborty, and M. Roy, "Deep Ensemble Network for handling class-imbalance problem in land-cover classification", in 18th IEEE International Conference on Information Technology, pages 505-509, Bhubaneshwar, India, 2019. (link)

  8.  S. Chakraborty and M. Roy, “Domain Adaptation for Land-cover Classification of Remotely Sensed Images using Ensemble of Multilayer Perceptrons” in Proceedings of third IEEE International Conference on Recent Advances in Information Technology (RAIT), pages 523-528, Dhanbad, India, 2016. (link)

  9.  S. Chakraborty, S. K. Adhikary and M. Roy, "Automatic land-cover classification using semi-supervised multilayer perceptron for analyzing remotely sensed images," in Proceedings of first IEEE International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), pages 33-38, Shillong, India, 2017. (link)

  10.  S. Chakraborty and A. K. Khan, “Evaluation of wireless sensor network routing protocol with respect to power efficiency” in Proceedings of fifth IEEE International Conference on Computational Intelligence and Communication Network (CICN), pages 123-128, Mathura, India, 2013. (link)

  11.  S. Chakraborty and A.K. Khan, “LoCoDuo: Low Cost Dual hop Clustering Based Protocol for Wireless Sensor Networks”, in Proceedings of fourth IEEE International Conference on Communication System and Network Technologies (CSNT), pages 162-178, Bhopal, India, 2014. (link)

  12.  S. Chakraborty and A.K. Khan, “A Noble Approach for Self Learning and Cluster based Routing Protocol with Power Efficiency in WSN”, in Proceedings of IEEE International Conference on Communication and Signal Processing (ICCSP), pages 773-777, Chennai, India, 2014. (link)

Book Chapters

  1. S. Chakraborty, N. Choudhury and I. Kalita, "AI‐Based Smart Agriculture Monitoring Using Ground‐Based and Remotely Sensed Images", The New Advanced Society: Artificial Intelligence and Industrial Internet of Things Paradigm, pages 191- 221, Wiley-Scrivener Publishing LLC, 2022

Courses Handled

  1. Deep learning (CS464/ AD 462)

  2. Problem solving and computer programming (CS101)

  3. Pattern Recognition (AD374)

  4. Soft Computing (AD303)

Accolades

  • University topper in M. Tech