Parul Rani

Motivated Deep Learning and Computer Vision Engineer with strong expertise in image segmentation, object detection, and image classification. Proficient in building and optimizing models using CNNs, Transformers, LVMs, and Foundational Models. Experienced in developing AI/ML solutions with a deep understanding of underlying mathematical principles. Skilled in research-driven innovation, with publications in reputed conferences and journals. Adept at model optimization for deployment on edge devices and keeping pace with the latest advancements in Computer Vision and Deep Learning. Seeking to contribute to cutting-edge projects by applying advanced DL techniques, flexible problem-solving skills, and interdisciplinary collaboration.

• UGC-NET for Lectureship (2019)
• CSIR Senior Research Fellowship (2021-2024)
• AICTE GATE Fellowship (2015-2017)

• IEEE Graduate Student Member (R-10 Asia Pacific)
• Graduate Student Researcher, American Physical Society

• Research Trainee, Prasar Bharati, Delhi, Delhi, Broadcasting and satellite communication, 6 weeks
• Summer Intern, Sofcon India Pvt. Ltd, Embedded C programming with Atmega8 MCU, 6 weeks

• P. Rani, S. Pancholi, V. Shaw, M. Atzori and S. Kumar, Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique, IEEE Sensors Journal, 10.1109/JSEN.2023.3344700
• Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori, and Sanjeev Kumar, Enhanced EMG based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors with Tempo-Spatial Wavelet Transform and Deep Learning, 2023, Accepted in IEEE transactions on medical robotics and bionics
• Parul Rani, Sidharth Pancholi, Suraj Pandey, Vikash Shaw, Manfredo Atzori, and Sanjeev Kumar, Explainable AI-Guided optimization of EMG channels and features for precise hand gesture classification: a SHAP-based study, 2023, Under review IEEE transactions on medical robotics and bionics
• Rani, P., Shaw, V., Kumar, Y., Jha, R.K., Kumar, S., A KNN-Based Approach for Myoelectric Arm, Proceedings of 6th International Conference on Recent Trends in Computing, 2021, Springer, Singapore, 10.1007/978-981-33-4501-0_29
• Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori, and Sanjeev Kumar, Investigating the Real-Time Performance of Hjorth Secant Line Features Across Multiple Days in EMG Prosthesis Control, 2024, CBMS 2024