Hemlata Sharma

Dr Hemlata Sharma

Senior Lecturer in Digital Analytics and Technology


Hemlata Sharma is a Lecturer in Computing in the Department of Engineering and Maths, in the College if Business, Technology and Engineering.


Journal articles

Nandini, Y.V., Tangirala, J.L., Enduri, M.K., Sharma, H., & Ahmad, M.W. (2024). Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. IEEE Access, 12, 51208-51222. http://doi.org/10.1109/access.2024.3385320

Ogunleye, B., Zakariyyah, K., Ajao, O., Olayinka, O., & Sharma, H. (2024). Higher education assessment practice in the era of generative AI tools. Journal of Applied Learning & Teaching, 7 (1). http://doi.org/10.37074/jalt.2024.7.1.28

Sharma, H., Andhalkar, A., Ajao, O., & Ogunleye, B. (2024). Analysing the Influence of Macroeconomic Factors on Credit Risk in the UK Banking Sector. Analytics, 3 (1), 63-83. http://doi.org/10.3390/analytics3010005

Sharma, H., Harsora, H., & Ogunleye, B. (2024). An Optimal House Price Prediction Algorithm: XGBoost. Analytics, 3 (1), 30-45. http://doi.org/10.3390/analytics3010003

Tokala, S., Enduri, M.K., Tangirala, J.L., & Sharma, H. (2023). Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. Entropy, 25 (9). http://doi.org/10.3390/e25091360

Khari, M., González Crespo, R., & Sharma, H. (2023). Guest editorial of the special issue ‘human-centric, decentralised, and hyper automated cyber-physical systems’. Journal of Control and Decision, 10 (1), 1-2. http://doi.org/10.1080/23307706.2022.2145059

Conference papers

Sybol, S.S., Srivastava, S., & Sharma, H. (2023). Soft Computing Approach for Student Dropouts in Education System. In Soft Computing for Problem Solving, (pp. 325-335). Springer Nature Singapore: http://doi.org/10.1007/978-981-19-6525-8_25

Sharma, H., & Chug, A. (2015). Dynamic metrics are superior than static metrics in maintainability prediction: An empirical case study. 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). http://doi.org/10.1109/icrito.2015.7359354

Book chapters

Sharma, H., Srivastava, S., & Gupta, V. (2023). Application and challenges of optimization in Internet of Things (IoT). In Nature-Inspired Optimization Algorithms and Soft Computing: Methods, Technology and Applications for IoTs, Smart Cities, Healthcare and Industrial Automation. (pp. 147-172).

Cancel event

Are you sure you want to cancel your place on Saturday 12 November?