Parul Rani

I am passionate about advancing the field of signal processing, and my future goal is to contribute significantly to the development and implementation of innovative technologies. Furthermore, I aspire to bridge the gap between academia and industry by translating cutting-edge research into practical applications. My objective is to collaborate with interdisciplinary teams, including scientists, engineers, and healthcare professionals, to bring about real-world solutions that positively impact.

An enthusiastic, adaptive, and fast-leaning person with a broad and acute interest in the field of biomedical signal processing, I particularly enjoy collaborating with scientists and researchers from different disciplines to develop new skills and solve new challenges.

• Best Paper, Best paper award for the paper Performance Analysis of Parametric Quadrature Amplitude Modulation in AWGN at BVICAM -2017 on the 11th INDIACom; INDIACom-2017; IEEE Conference
• NET for Lectureship, 2019

• IEEE, Graduate Student Member, R-10 Asia Pacific Region, 2019
• American Physical Society, Graduate Student Researcher, 2022

• 2014
• 2015

• AICTE GATE Fellowship, 2015 - 2017
• CSIR Senior Research Fellowship (CSIR-SRF), 2021 - Present

• Multi-Channel Electromyogram controlled multi-Degree of Freedom Below Elbow Prosthesis, Indo-French workshop on robotics for Rehabilitation (Robo-Rehab 2019)
• An approach for of multifinger myoelectric hand with implementation Proportional grip force, India International science festival 2020 (Conclave on Assistive Technologies and Divyangjan)
• Indigenous Non-Invasive Jelly-less electromyogram (EMG) acquisition system, IEEE AcSIR CSIO Student Branch

• 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, Under review in CBMS 2024

• Research Trainee, Prasar Bharti, Delhi, Training on broadcasting and related fields such as outdoor broadcasting, satellite communication and uplink & downlink chains, news production and transmission, 6 weeks
• Sofcon India Pvt. Ltd, Summer training on embedded technology (Atmega8 microcontroller), 6 weeks