EDUCATION
- Ph.D. (Jaypee Institute of Information Technology, Noida)
- M.Tech (Indira Gandhi Delhi Technical University for Women, New Delhi)
- B.Tech. (Guru Gobind Singh Indraprastha University, New Delhi)
Biography
Manika Jha received her B.Tech. degree in Instrumentation and Control Engineering from Guru Gobind Singh Indraprastha University, New Delhi, India in 2016 and M.Tech. degree in Robotics and automation from Indira Gandhi Delhi Technical University, New Delhi, India in 2019. She has completed her Ph.D. degree in Electronics and Communication Engineering Department at Jaypee Institute of Information Technology, Noida, India in 2023. Her research interests include biomedical signal processing, machine learning, deep learning, natural language processing, medical image processing and genomic signal processing.
Publications
INTERNATIONAL JOURNALS
- Jha M., Gupta R. and Saxena R., “A Novel method to detect COVID-19 associated Pulmonary Fibrosis through Extreme Gradient Boosting,” SN Computer Science, vol. 4, no. 89, pp. 1-12, 2022. https://doi.org/10.1007/s42979-022-01526-x (Springer, Scopus indexed)
- Jha M., Gupta R. and Saxena R., “A framework for in-vivo human brain tumor detection using image augmentation and hybrid features,” Health Information Science and Systems, vol. 10, no. 23, pp. 1-12, 2022. https://doi.org/10.1007/s13755-022-00193-9 (Springer IF- 6.0, SCIE indexed)
- Jha M., Gupta R. and Saxena R., “Fast and precise prediction of non-coding RNAs (ncRNAs) using sequence alignment and k-mer counting,” International Journal of Information Technology, vol. 14, no. 6, pp. 1-9, 2022. https://doi.org/10.1007/s41870-022-01064-y (Springer, Scopus indexed)
INTERNATIONAL CONFERENCES
- Jha M., Gupta R. and Saxena R., "Cervical Cancer Risk Prediction Using XGBoost Classifier," 2021 7th International Conference on Signal Processing and Communication (ICSC), 2021, pp. 133-136. https://doi.org/10.1109/ICSC53193.2021.9673474 (IEEE Proceedings, Scopus indexed)
- Jha M., Gupta R. and Saxena R., "Potential Point-of-Care Biosensors for the detection of COVID-19," International conference on Advances in Biosciences and Biotechnology (ICABB), 2021, pp. 39-42. (Conference Proceedings)
- Jha M., Gupta R. and Saxena R., "A Review on Non-Invasive Biosensors for Early Detection of Lung Cancer," 2020 6th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2020, pp. 162-166. https://doi.org/10.1109/ICSC48311.2020.9182775 (IEEE Proceedings, Scopus indexed)
PATENT FILED ON:
Smart Lung Disease Detection System (Patent application no. 202211069830)
BOOK CHAPTER
M. Jha, R. Gupta and R. Saxena, “Potential point-of-care Biosensors for the detection of COVID-19,” in Recent Trends in Biosciences and Biotechnology, Ed. Vidya Kutir Foundation, ch. 3, pp. 27-42. doi: https://doi.org/10.48002/BOOK