Sehgal is a data science leader with years of experience in enabling digital transformation for UK Enterprises using big, small, and metadata. She is currently working as Senior Lecturer – Data Science and Course Leader – Healthcare Analytics and AI in the Department of Computing at Sheffield Hallam University (SHU).
Sehgal holds a Masters’ degree in Big Data Technology from Hong Kong University of Science & Technology, and has a Doctoral degree in Analytics. She holds second master’s degree in Statistics and an undergraduate degree in Mathematics from Delhi University. Prior to joining SHU, Sehgal has worked as Head of Data Science at Valuechain Ltd., UK. She was responsible for designing the AI strategy and roadmap for the Valuechain business.
Sehgal has successfully overseen the workflow of multiple data-driven funded projects by Innovate UK and EUREKA, with the aim to design and develop an intelligent collaborative ecosystem for supply chain mapping (manufacturer from food and health sector) and networking by integrating machine learning and NLP. Sehgal has worked on scads of big data projects related to Smart Cities, Education, Health and the Human Resource sector in association with the University of Huddersfield and Big Data Institute, HKUST.
She was awarded with “Best AI Model Presentation” from HKUST Fintech Forum, “Research Excellence Award” from OPJGU, and "Best Paper Award" from ICMI. She has presented her research work in various international conferences across London, Portugal, Beijing, Belfast, and Taiwan. Her research work has been published in Energy Systems (Springer), Energy Procedia (Elsevier), and Applied Soft Computing (Elsevier).
Business, Technology and Enterprise
Healthcare Analytics & AI
Data Science Projects and Healthcare Knowledge and Data Management
Negi, B.S., Pandey, K.K., & Sehgal, N. (2017). Renewables, Shale Gas and Gas Import-Striking a Balance for India. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 105, 3720-3726. http://doi.org/10.1016/j.egypro.2017.03.863
Sehgal, N., & Pandey, K.K. (2015). Artificial intelligence methods for oil price forecasting: a review and evaluation. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 6 (4), 479-506. http://doi.org/10.1007/s12667-015-0151-y
Sehgal, N., & Pandey, K.K. (2014). The Drivers of Oil Prices - A MI3 Algorithm approach. INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 61, 509-512. http://doi.org/10.1016/j.egypro.2014.11.1160
Sehgal, N., & Pandey, K.K. (2015). Aftermath of 2008 Financial Crisis on Oil Prices. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. http://doi.org/10.5220/0005596902350240
Sehgal, N., & Crampton, A. (2019). Information Extraction for Additive Manufacturing Using News Data. (pp. 132-138). http://doi.org/10.1007/978-3-030-20948-3_12
Jain, G., Sahni, S.P., & Sehgal, N. (2018). Sexual Identity Expression on the Internet: An Empirical Study of Homosexuals, Heterosexuals, and Bisexuals in India. In Internet Infidelity. (pp. 105-131). Springer Singapore: http://doi.org/10.1007/978-981-10-5412-9_7