CV

Education

• Ph.D. in Computer Science and Engineering, Indian Institute of Technology Indore (Aug. 2021 - present)
• M.Tech. in Information Technology, National Institute of Technology Raipur (July 2016- July 2018)
• B.E. in Electronics and Telecommunication, Chhattisgarh Swami Vivekananda Technical University, Bhilai (Aug. 2011 - June 2015)

Projects

• Speech Recognition System
  • To tackle the problem of pronunciation in the English language, we have designed a Convolution Neural Network (CNN) & Long Short Term Memory (LSTM) based speech recognition system that can recognise recorded mispronounced words.
  • Stages Involved: Data prepossessing, MFCC (Mel Frequency Cepstral Coefficients) feature extraction, model training and testing.
• Electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems using machine learning techniques
  • Enhancing the performance of EEG based BCI systems for motor imagery task by classifying the EEG data and analyse their performance utilising various machine learning techniques such as bagging, boosting, k nearest neighbour (KNN), naive bayes.
  • Stages involved: Data prepossessing, short-time Fourier transform and wavelet feature extraction, rank-based feature selection, classification.
• Face recognition based real-time attendance system
  • A computer vision system that can recognise real time faces and record the information to mark attendance.
  • Stages involved: Image loading, finding a face in the image, compare training and testing face, record information.

Publications

Applying Auto-Regressive Model’s Yule-Walker Approach to Amyotrophic Lateral Sclerosis (ALS) patients’ Data

Impact of feature selection on EEG based motor imagery

EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients

ALPINE: Improving Remote Heart Rate Estimation Using Contrastive Learning

Exploring the feasibility of adversarial attacks on medical image segmentation

Trustworthy Medical Image Segmentation with improved performance for in-distribution samples

Feature extraction and analysis of overt and covert EEG signals with speller devices

Work experience

• Indian Institute of Technology Indore (Indore, Madhya Pradesh, Jan. 2021 - Present)
  • Project Fellow (JRF)
  • Working in the project entitled Heart rate monitoring from non-contact face videos using deep learning under the supervision of Dr. Puneet Gupta.
• National Informatics Centre (NIC) (Raipur, Chhattisgarh, India July 2018 - Dec. 2019)
  • Involved in the research and development group of a school education project, where I have designed a speech recognition system utilising deep learning techniques. The vision of this project is to tackle the problem of pronunciation in the English language.
  • Worked on data analytics and report generation on state education data using SQL queries, SQLite3, pandas, reportlab, matplotlib and several other python libraries.