About

Pratikshya is a permanent academic staff at Sheffield Hallam University. She was awarded Vice-Chancellor's Research Scholarships in 2018 to pursue her PhD in the UK. She has a PhD (Computer Vision and Applied AI and Machine Learning) and a master’s degree in (Computer Science and Engineering). Broadly, her research focuses on application of artificial intelligence and Machine Learning techniques in computer vision to solve real world problems. She also has research interest in face analysis, facial expression analysis, estimating emotions from human face by examining micro/macro expressions employing deep learning and machine learning concepts. She has keen interest and experience in building models for improving the image quality using deep learning based super resolution algorithms. Additionally, her interest lies in exploring generative models and their architecture to reconstruct and regain the facial attributes to enable expression as well as various other kinds of facial analysis. She is an active researcher with more than 10 scientific publications. She also has over 8 years of teaching experience in the UK and abroad.

Her research publications include:

1. Sharma, P., Coleman, S., Yogarajah, P. et al. Comparative analysis of super-resolution reconstructed images for micro-expression recognition. Adv. in Comp. Int. 2, 24 (2022).

https://doi.org/10.1007/s43674-022-00035-x

2. Sharma, P.; Coleman, S.; Yogarajah, P.; Taggart, L. and Samarasinghe, P. (2022). Evaluation of Generative Adversarial Network Generated Super Resolution Images for Micro Expression Recognition. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, ISBN 978-989-758-549-4, ISSN 2184-4313, Feb,2022, pages 560-569.

3. P. Sharma, S. Coleman, P. Yogarajah, L. Taggart and P. Samarasinghe, "Magnifying Spontaneous Facial Micro Expressions for Improved Recognition," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7930-7936, doi: 10.1109/ICPR48806.2021.9412585.

4. Sharma, P., Coleman, S., Yogarajah, P. & Laurence, T. (2019). Micro expression classification accuracy assessment. IMVIP 2019: Irish Machine Vision & Image Processing, Technological University Dublin, Dublin, Ireland, August 28-30. doi:10.21427/kbny-0a41

5. Accurate Drainage Network Extraction from Satellite Imagery—A Survey, Advances in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 31. Springer, Singapore. https://doi.org/10.1007/978-981-10-8911-4_16

6. An analysis of the Intelligent Predictive String Search Algorithm: A Probabilistic Approach, I.J. Information Technology and Computer Science, 2017, 2, 66-75 Published Online February 2017 in MECS (https://www.mecs-press.org/) DOI: 10.5815/ijitcs.2017.02.08

7. S. Choudhury, M. P. Pradhan, P. Sharma and S. K. Kar, "Determining Urban Emotion using an unsupervised learning approach: A case study around Majitar, East District, Sikkim," 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), 2016, pp. 134-141, doi: 10.1109/ICEETS.2016.7582913.

8. Determining Urban Emotion using a Supervised Learning Approach: A Case Study around Majitar, East, International Journal of Computer Applications (0975 – 8887) Volume 144 –No.5, pp 37-44, June 2016.

Teaching

Department of Computing

College of Business, Technology and Engineering

Subject area:

• Computing (Software Engineering)

Courses taught:

• BSc Software engineering
• BSc Computer Science
• BSc Computer Science with AI

Modules taught:

• Robotics
• Artificial Intelligence
• Computer Architecture
• Robotics with Artificial Intelligence

Research

• Health Research Institute

Publications