software Engineering, Data Mining, Machine Learning

12 years

Data Mining, Machine Learning, IoT Security

International Publications

2024
1. Bhoi, G., Sahu, R. K., Oram, E., & Jhanjhi, N. Z. (2024). Risk Assessment and Security of Industrial Internet of Things Network Using Advance Machine Learning. In Machine Learning for Cyber Physical System: Advances and Challenges (pp. 267-285). Cham: Springer Nature Switzerland.
2023
2. Oram, E., Dash, P. B., & Naik, B. (2023). Light-gradient boosting machine for identification of osteosarcoma cell type from histological features. In Computational Intelligence in Cancer Diagnosis (pp. 289-303). Academic Press.
2022
3. Oram, E., Naik, B., Bhoi, G., & Pelusi, D. (2022). Heart Failure Detection from Clinical and Lifestyle Information using Optimized XGBoost with Gravitational Search Algorithm. In Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (pp. 97-112). Cham: Springer International Publishing.
4. Bhoi, G., Oram, E., Naik, B., & Pelusi, D. (2022). Optimized Gradient Boosting Tree-Based Model for Obesity Level Prediction from patient’s Physical Condition and Eating Habits. In Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (pp. 49-69). Cham: Springer International Publishing.
5. Oram, E., Naik, B., & Senapati, M. R. (2022). Identification of malicious access in IoT network from connection traces by using light gradient boosting machine. In Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021 (pp. 711-720). Singapore: Springer Nature Singapore.
6. Bhoi, G., Naik, B., Oram, E., & Vimal, S. (2022, April). Gravitational search optimized light gradient boosting machine for identification of malicious access in IoT network. In International Conference on Computational Intelligence in Pattern Recognition (pp. 570-579). Singapore: Springer Nature Singapore.
7. Oram, E., Naik, B., Senapati, M. R., & Bhoi, G. (2022, April). Identification of Malicious Access in IoT Network by Using Artificial Physics Optimized Light Gradient Boosting Machine. In International Conference on Computational Intelligence in Pattern Recognition (pp. 653-662). Singapore: Springer Nature Singapore.
2021
8. Oram, E., Dash, P. B., Naik, B., Nayak, J., Vimal, S., & Nataraj, S. K. (2021). Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs. Pattern Recognition Letters, 152, 100-106.
2020
9. Dash, P. B., Nayak, J., Naik, B., Oram, E., & Islam, S. H. (2020). Model based iot security framework using multiclass adaptive boosting with smote. Security and Privacy, 3(5), e112.

1. Assistant Warden of Arundhati Hall of Residence from 30th  SEP 2014- 30th 2016
2. NAAC nodal officer for MCA department (2015).
3. Faculty advisor for welcome and farewell event of MCA dept. (2012-onwards)

• Workshop Attended:
  1. RTAC-2013, VSSUT, Burla, Odisha, India
  2. Neural networks, fuzzy systems and their applications in electrical engineering-2013
• Organizing Member in Conferences
  1. ICCIDM-2014, Springer, VSSUT, Burla, Odisha, Burla