Dr. Manvi Bohra | Faculty Computer Science and Engineering

Dr. Manvi Bohra is an Assistant Professor in the Department of Computer Science and Engineering at Graphic Era Hill University, Dehradun, India. She received her Ph.D., M.Tech., and B.Tech. in Computer Science and Engineering from the Graphic Era group of institutions.

Her research interests include Digital Image Processing, Medical Image Analysis, Artificial Intelligence, Deep Learning, Computer Vision, and Explainable Artificial Intelligence (XAI), with a primary focus on intelligent healthcare applications. Her research has particularly emphasized transform-domain image analysis, wavelet-based feature extraction, hybrid deep learning architectures, and explainable AI techniques for breast cancer diagnosis using histopathological images.

Dr. Bohra has published 15 Scopus-indexed research papers, including 3 Q1 SCIE journal articles and 12 international conference papers. Alongside her research, she is actively engaged in teaching undergraduate and postgraduate courses, mentoring student projects, and promoting research and innovation in artificial intelligence, computer vision, and medical image analysis.

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., Singh, K. U., Kumar, I., & Shah, M. A. (2026). Wavelet-CNN Feature Fusion Architecture for Robust Breast Cancer Classification in Histopathological Imaging. International Journal of Computational Intelligence Systems.
• Bohra, M., Singh, K. U., Kumar, I., & Mahato, S. (2026). Breast Lesion Identification Using Feature Fusion and Multiresolution Dual-Tree Complex Wavelet Transform. Digital Health.
• 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.
• 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. AIP Conference Proceedings.
• 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. AIP Conference Proceedings.
• Kumar, I., Bohra, M., Mohd, N., & Singh, T. (2024). Distributed Denial of Services (DDoS) & IoT Botnet Malware Identification Using Machine Learning & Deep Learning Models. In Second International Conference on Advances in Information Technology.
• Bohra, M., Kumar, I., & Singh, K. U. (2024). Fake News Detection Using Different Machine Learning Algorithms. In 2nd International Conference on Device Intelligence, Computing and Communication Technologies.
• 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 First International Conference on Technological Innovations and Advanced Computing.
• Bohra, M., & Kumar, I. (2024). Automated Music Genre Classification Using Modified MobileNet Deep Learning Model. In 2nd International Conference on Sustainable Computing and Smart Systems.
• Ghosh, D., Ghosh, C., Dey, P., Ali, A., Bohra, M., Kumar, I., & Mohd, N. (2024). Automated Cricket Commentary Generation Using Deep Learning. AIP Conference Proceedings.
• Kumar, I., & Bohra, M. (2024). Multi Disease Classifier and Localizer for Chest X-Ray. In First International Conference on Technological Innovations and Advanced Computing.
• Rawat, A. S., Devrani, H., Yaduvanshi, A., Bohra, M., Kumar, I., & Singh, T. (2023). Surveillance System Using Moving Vehicle Number Plate Recognition. In 2nd International Conference on Edge Computing and Applications (ICECAA).
• Bohra, M., & Gupta, S. (2022/Published in conference proceedings). Pre-trained CNN Models and Machine Learning Techniques for Brain Tumor Analysis. In 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies.
• Bohra, M., Kumar, I., & Singh, T. (2023). Pneumonia Identification Using Deep Learning Models. In International Conference on Sustainable Emerging Innovations in Engineering and Technology.
• Gusain, A., Rawat, A. S., Bohra, M., Kumar, I., & Singh, T. (2023). Distracted Driver Detection and Driver Rating System Using Deep Learning. In World Conference on Communication & Computing (WCONF).
• 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 International Conference on Sustainable Emerging Innovations in Engineering and Technology.
• Gupta, R., Rawat, J., Kumar, I., Singh, T., Bohra, M., & Kumar, D. (2023). Diagnosis of Heart Failure Using AI Techniques. In International Conference on Sustainable Emerging Innovations in Engineering and Technology.
• Kamboj, D., Goel, C., Sharma, A., Kumar, A., Bohra, M., & Kumar, I. (2023). Virtual Meet Application with Content Recommendation. In IEEE Fifth International Conference on Advances in Electronics, Computers and Communications.