Ms. Manvi Bohra | Faculty Computer Science and Engineering

Manvi Bohra is an Assistant Professor in the Department of Computer Science and Engineering at Graphic Era Hill University, India, and a Ph.D. research scholar in Computer Science and Engineering. She completed her M.Tech and B.Tech in Computer Science and Engineering from Graphic Era institutions. Her research interests include Digital Image Processing, Medical Image Analysis, Deep Learning, and Computer Vision.

She is actively involved in research and has published several papers in reputed international conferences and high-impact factor and Q1 indexed journals. Her research focuses on deep learning, wavelet-based feature extraction, and hybrid AI models for medical image analysis and intelligent healthcare applications. Along with her research activities, she is also engaged in teaching and mentoring students in emerging areas of artificial intelligence and computer vision.

ORCID ID: 0009-0004-7271-1263
Scopus ID: 57872542900
Vidwan ID: 692135
Google Scholar ID: https://scholar.google.com/citations?user=VVnQ7pIAAAAJ&hl=en

LIST OF RESEARCH PUBLICATION

• Bohra, M., & Gupta, S. (2022). Pre-trained CNN models and machine learning techniques for brain tumor analysis. In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) (pp. 1–6). IEEE.
• Bohra, M., Kumar, I., & Singh, T. (2023). Pneumonia identification using deep learning models. In 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET) (pp. 441–445). IEEE.
• Bohra, M., Kumar, I., & Singh, K. U. (2024). Fake news detection using different machine learning algorithms. In 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT) (pp. 45–50). IEEE.
• Bohra, M., Kumar, I., et al. (2024). Automated music genre classification using modified MobileNet deep learning model. In 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS) (pp. 767–772). IEEE.
• Bohra, M., Singh, K. U., Kumar, I., & Shah, M. A. (2025). Wavelet-CNN feature fusion architecture for robust breast cancer classification in histopathological imaging.
• Bohra, M., Singh, K. U., Kumar, I., & Mishra, S. (2025). Multi-resolution wavelet packet-driven dual path CNN for breast lesion classification. IEEE Internet of Things Journal. IEEE.
• Ghosh, D., Ghosh, C., Dey, P., Ali, A., Bohra, M., Kumar, I., & Mohd, N. (2024). Automated cricket commentary generation using deep learning. In AIP Conference Proceedings (Vol. 3072, No. 1, p. 030005). AIP Publishing LLC.
• Gupta, R., Rawat, J., Kumar, I., Singh, T., Bohra, M., & Kumar, D. (2023). Diagnosis of heart failure using AI techniques. In 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET) (pp. 795–800). IEEE.
• Gusain, A., Rawat, A. S., Bohra, M., Kumar, I., Singh, T., et al. (2023). Distracted driver detection and driver rating system using deep learning. In 2023 World Conference on Communication & Computing (WCONF) (pp. 1–6). IEEE.
• Kamboj, D., Goel, C., Sharma, A., Kumar, A., Bohra, M., & Kumar, I. (2023). Virtual meet application with content recommendation. In 2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC) (pp. 1–6). IEEE.
• Kumar, I., Bohra, M., Mohd, N., & Singh, T. (2024). Distributed denial of services (DDoS) and IoT botnet malware identification using machine learning and deep learning models. In 2024 Second International Conference on Advances in Information Technology (ICAIT) (Vol. 1, pp. 1–6). IEEE.
• Kumar, I., & Bohra, M. (2024). Multi disease classifier and localizer for chest X-ray. In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP) (pp. 355–359). IEEE.
• Rawat, A. S., Devrani, H., Yaduvanshi, A., Bohra, M., Kumar, I., & Singh, T. (2023). Surveillance system using moving vehicle number plate recognition. In 2023 2nd International Conference on Edge Computing and Applications (ICECAA) (pp. 940–945). IEEE.
• Sharma, H., Sharma, G., Kumar, I., Khan, R., & Bohra, M. (2025). A comparative study of air quality indices in densely populated countries: Trends analysis. In AIP Conference Proceedings (Vol. 3335, No. 1, p. 030019). AIP Publishing LLC.
• Sharma, H., Sharma, G., Kumar, I., Khan, R., & Bohra, M. (2025). AI-driven optimization of multi-modal transportation planning: A cost-effective and distance-efficient route finder. In AIP Conference Proceedings (Vol. 3335, No. 1, p. 030018). AIP Publishing LLC.
• Verdhan, A., Saini, V., Kukreti, D. C., Negi, R., Bohra, M., & Kumar, I. (2024). Real-time vehicle classification using deep neural networks based model. In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP) (pp. 101–106). IEEE.
• Yadav, R., Chaudhary, R., Istwal, S., Kumar, S., Bohra, M., & Kumar, I. (2023). Development of an AI enabled yoga posture (Aasans) prediction system using deep neural network model. In 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET) (pp. 386–390). IEEE.