Dr Drishty Sobnath
Drishty Sobnath
- Job title
- Assistant Professor - Mathematical and Computer Sciences
- Role
- Assistant Professor - Mathematical and Computer Sciences
- Section
- School of Mathematical & Computer Sciences
About
Dr Drishty Sobnath is an Assistant Professor in Computer Science. Prior to joining Heriot Watt, she was a Senior Lecturer at Solent University, Southampton, UK, as well as the Programme Leader of BSc (Hons) Computer Science, BSc (Hons) Software Engineering and MSc Computer Engineering. She was awarded her PhD in Software Engineering (mHealth) from Kingston University, London. Her work included implementation and testing of IoT solutions, wearables, and mobile application development to improve lifestyle of patients suffering from Chronic Obstructive Pulmonary Disease (COPD) in the UK and Netherlands. She teaches courses at both undergraduate and postgraduate levels in the fields of Data Science and Artificial Intelligence.
Biography
Academic Leadership and Affiliations:
- Aurora Network (Women in Leadership in Higher Education)
- Fellow of Higher Education Academy, Advance HE, UK
- Member of the organising committee of IEEE International Smart Cities Conference
Qualifications:
- Postgraduate Certificate in Teaching in Higher Education (PGCTHE)
FHEA qualification by the UK Higher Education Academy
Solent University, Southampton (2020) - PhD in Software Engineering specialising in mHealth
Kingston University, London (2017) - BSc (Hons) Mobile Computing with Industrial Placement
Kingston University, London (2013)
Research
Drishty’s research interests lie in mobile health application development projects, Machine Learning and applications of AI and Data Science in the health sector as well as in smart cities. Drishty has been involved in various consultancy and research projects. She worked on the ‘WELCOME’ project, funded by the European Commission under the FP7 programme from 2013 to 2017, to help patients with Chronic Obstructive Pulmonary Disease (COPD) to self-manage their chronic condition through the use of mobile health technologies and to reduce the burden on the healthcare systems.
In 2021, she was awarded an Office for Students (OfS) grant where she was the co-investigator for the National Data Skills Pilot project. She was also the Project Coordinator for another OfS project aiming to increase the skilled workforce and diversity in AI and Data Science, which formed part of a £13 million funding initiative by the UK government from 2021 to 2023.
Drishty is a member of the organising committee of IEEE International Smart Cities Conference. She has presented her work at several international conferences and is the author/co-author of more than 20 research outputs including IEEE journals, conference papers (Springer), book chapters, news articles, etc.
Drishty has won two awards for the best paper, both sponsored by Springer, at the International Conference on Information System Design and Intelligent Applications in 2018 and at the International Conference Information and Communication Technology Conference in 2019. Her goal is to protect academic quality and integrity, support research and encourage discussion on related key academic research matters.
Publications
Andritsch, J., Sobnath, D., & Ahmad, S. (2024). Breaking barriers: Empowering non-STEM students in data skills through inquiry-based and collaborative learning, INTED2024 Proceedings 18th International Technology, Education and Development Conference March 4th-6th, 2024 Valencia, Spain (pp. 6918-6924). IATED Academy, doi: 10.21125/inted.2024.1821
S. Hassan, D. Sobnath, E. Snell and O. Isiaq (2023), "A Conceptual Evaluation of the Data as Partner (DAP) Framework," 2023 IEEE International Smart Cities Conference (ISC2), Bucharest, Romania, 2023, pp. 1-7, doi: 10.1109/ISC257844.2023.10293460.
S. Hassan, D. Sobnath, E. Snell and O. Isiaq (2022), "Data as Partner (DAP): Integrating Automation with Daily Living," IEEE International Smart Cities Conference (ISC2), Pafos, Cyprus, pp. 1-7, doi: 10.1109/ISC255366.2022.9922431.
Rehman, I. U., Sobnath, D., Nasralla, M. M., Winnett, M., Anwar, A., Asif, W., & Sherazi, H. H. R. (2021). Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI. Diagnostics (Basel, Switzerland), 11(10), 1923. https://doi.org/10.3390/diagnostics11101923
I.Haq, A.Anwar; I.Rehman; W.Asif; D.Sobnath; H.Sherazi; M.Nasralla (2021) , "Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration," in IEEE Access, vol. 9, pp. 143406-143422, 2021, doi: 10.1109/ACCESS.2021.3120557.
D. Sobnath, T. Kaduk, I. U. Rehman and O. Isiaq (2020), "Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model," in IEEE Access, vol. 8, pp. 159530-159541, doi: 10.1109/ACCESS.2020.3018663.
Sobnath, D., Isiaq, S.O., Rehman, I.U., Nasralla, M.M. (2020). Using Machine Learning Advances to Unravel Patterns in Subject Areas and Performances of University Students with Special Educational Needs and Disabilities (MALSEND): A Conceptual Approach. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-32-9343-4_41
A full list of Dr Drishty Sobnath publications can be found on her LinkedIn profile