Dr Hemlata Sharma
Senior Lecturer in Digital Analytics and Technology
Summary
I have more than a decade (14+ years) of experience in Industry and Academia altogether. I have done PhD in Computer Science Engineering from Banasthali Vidyapith, Rajasthan in 2019. My research interest area includes IOT, Artificial Intelligence, Machine Learning, Data Science, Text mining and NLP. I have published and presented research papers in various National/International Journals and Conferences. I have been invited as a resource person for various Management/Faculty development Programs and expert talks on topics like Machine Learning, Visualization using Tableau, Industry 4.o etc.
Teaching
School of Computing and Digital Technologies
College of Business, Technology and Engineering
Publications
Journal articles
Sharma, H., Ud Din, F., & Ogunleye, B. (2024). . Analytics, 3 (4), 425-438.
Ogunleye, B., Sharma, H., & Shobayo, O. (2024). . Big Data and Cognitive Computing, 8 (9).
Ogunleye, B., Zakariyyah, K.I., Ajao, O., Olayinka, O., & Sharma, H. (2024). . Education Sciences, 14 (6).
Nandini, Y.V., Lakshmi, T.J., Enduri, M.K., & Sharma, H. (2024). . Entropy, 26 (6).
Nandini, Y.V., Tangirala, J.L., Enduri, M.K., Sharma, H., & Ahmad, M.W. (2024). . IEEE Access, 12, 51208-51222.
Ogunleye, B., Zakariyyah, K., Ajao, O., Olayinka, O., & Sharma, H. (2024). . Journal of Applied Learning & Teaching, 7 (1).
Sharma, H., Andhalkar, A., Ajao, O., & Ogunleye, B. (2024). . Analytics, 3 (1), 63-83.
Sharma, H., Harsora, H., & Ogunleye, B. (2024). . Analytics, 3 (1), 30-45.
Tokala, S., Enduri, M.K., Tangirala, J.L., & Sharma, H. (2023). . Entropy, 25 (9).
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.
Tokala, S., Enduri, M.K., Lakshmi, T.J., Hajarathaiah, K., & Sharma, H. (n.d.). Empirical Analysis of Variations of Matrix Factorization in Recommender Systems. International Journal of Advanced Computer Science and Applications, 16 (1).
Conference papers
Sybol, S.S., Srivastava, S., & Sharma, H. (2023). Soft Computing Approach for Student Dropouts in Education System. In Lecture Notes in Networks and Systems, (pp. 325-335). Springer Nature Singapore:
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), 1-6.
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).