Faculty Detail

Dr Rinki Gupta

Professor

Amity School of Engineering and Technology

Academic Area
Electronics and Communication Engineering
Teaching Interests
Speech and Audio Processing, Digital Signal Processing, Probability and Random Variables
Qualifications
Graduation : B.E.(Electronics Engineering)-2005,Sardar Patel College of Engineering

Post Graduation : M.E.(Electronics Engineering)-2007,Sardar Patel College of Engineering

Doctorate : Ph.D.(Electronics Engineering)-2014,Centre for Applied Research in Electronics
Experience
16 Nov 2015 - Present
Professor,
Amity School of Engineering and Technology

14 Aug 2014 - 13 Nov 2015
Project Scientist,
Industrial Research and Development Unit,

15 Oct 2013 - 30 Jun 2014
Software Engineer,
Jangoo Technologies Pvt. Ltd.,

20 Jul 2007 - 17 Jul 2008
Lecturer (ECE),
Guru Tegh Bahadur Institute of Technology,
Research Interests
Time frequency analysis, Underwater Acoustics, Speech Processing, Motion sensing and tracking, Estimation of Instantaneous Frequency and its Applications
Publications
Estimation of instantaneous frequencies using iterative empirical mode decomposition ,
Springer Signal, Image and Video Processing

Motion Parameter Estimation of a radiating point source with multiple tonals using acoustic Doppler analysis ,
IEEE Digital Library

Performance Enhancement of GMSK and LDPC based VLF Communication in Atmospheric Radio Noise ,
IEEE Digital Library

Bearings-only tracking of non-maneuvering target with missing bearings data ,
IEEE Digital Library

Cross-range Imaging of a cooperative source using passive inverse synthetic aperture technique ,
IEEE Digital Library

Enhancement of Inverse Synthetic Aperture Radar Image using Convolved High-order Instantaneous Moment ,
IEEE Xplore

Analysis of Surface Electromyogram signals using Integrated Bispectrum ,
IEEE Xplore

Analysis of Dual-channel Surface Electromyogram using Second-order and Higher-order Spectral Features ,
IEEE Xplore

Hand Activity Detection from Electromyogram using Instantaneous Frequency ,
IEEE Xplore

Appropriate AR modeling for Surface Electromyogram Signals and its application in Hand Activity Classification ,
IEEE Xplore

Channel selection in multi-channel surface electromyogram based hand activity classifier ,
IEEE Xplore

Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model ,
IEEE Xplore

Dual Stage Classification of Hand Gestures using Surface Electromyogram ,
IEEE Xplore

Classification of Hand Gestures from Wearable IMUs using Deep Neural Network ,
IEEE Xplore

Correlation based Binary Evolution Algorithm for Feature Selection in Hand Activity Classification ,
IEEE Xplore

On the use of Temporal and Spectral Central Moments of forearm surface EMG for Finger Gesture Classification ,
IEEE Xplore

Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture ,
IEEE Xplore

On the combined use of Electromyogram and Accelerometer in Lower Limb Motion Recognition ,
IEEE Xplore

On the use of Multi-Modal Sensing in Sign Language Classification ,
IEEE Xplore

Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs ,
IEEE Xplore

A Quantitative Performance Assessment of surface EMG and Accelerometer in Sign Language Recognition ,
IEEE Xplore

Effect of Number of Features on sEMG Multi-sensor Combinations for Hand Gesture Recognition ,
IEEE Xplore

On the Selection of Number of Sensors for a Wearable Sign Language Recognition System ,
IEEE Xplore

Real-Time Continuous Sign Language Classification using Ensemble of Windows ,
IEEE Xplore

Centralized Kalman Filter for Fusion of Multiple On-Board Auxiliary Sensors with INS for Underwater Navigation ,
IEEE Xplore

Isolation of Prostate Gland in T1-Weighted Magnetic Resonance Images using Computer Vision ,
IEEE Xplore

Computer Based Diagnosis of Malaria in Thin Blood Smears Using Thresholding Based Approach ,
IEEE Xplore

A Wearable Multisensor Posture Detection System ,
IEEE Xplore

Posture detection using Deep Learning for Time Series data ,
IEEE Xplore

Comparative Analysis of Convolution Neural Network Models for Continuous Indian Sign Language Classification ,
Elsevier

Instantaneous Frequency Selective Filtering using Ensemble Empirical Mode Decomposition ,
Taylor & Francis

Continuous Sign Language Recognition from Wearable IMUs using Deep Capsule Networks and Game Theory ,
Elsevier

Trbaggboost: An ensemble-based transfer learning method applied to Indian Sign Language recognition ,
Springer

Indian Sign Language Recognition using Wearable Sensors and Multi-label Classification ,
Elsevier

Indian sign language recognition using wearable sensors and multi-label classification ,
Elsevier

Indian sign language recognition using wearable sensors and multi-label classification ,
Elsevier

Indian sign language recognition using wearable sensors and multi-label classification ,
Elsevier
Projects
Indian Sign Language to Spoken Language Translator using data from Wearable Multi-sensor Armbands(None)
Develop an automatic isolated Indian Sign Language to spoken language translator based on EMG and IMU signal processing.by (SCIENCE & ENGINEERING RESEARCH BOARD (SERB), DST)
Affiliations
The Institute of Electronics and Telecommunication Engineers Since 12 Jan 2007
Activities
Top 0.1% of the successful candidates in All India Sec. School Exam, CBSE board.
Conferences attended
The Nineteenth National Conference on Communications (NCC)
Organized By :Indian Institute of Technology Delhi

IEEE India International Conference on Information Processing
Organized By :DTU Delhi

SPIN 2017
Organized By :ECE, ASET

Technoxian 2017
Organized By :AICRA, DST

FDP on Evolutionary Algorithms A Practical Approach
Organized By :EEE, ASET

FDP on Arduino and its Applications
Organized By :ECE, ASET
Short Description
Rinki Gupta received her Bachelor and Master degree in Electronics Engineering from University of Mumbai, Mumbai, India in 2005 and 2007, respectivelyand Ph.D. in Electronics Engineering (Signal Processing), from the Centre for Applied Researchin Electronics, Indian Institute of Technology, Delhi in 2014. Thereafter, she was working on a project funded by WESEE, Ministry of Defence at IIT Delhi. She joined Amity School of Engineering and Technology as Assistant Professor inNov. 2015. Her present research interests include time–frequency analysis, underwater acoustics and speech processing.

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