Summary
Overview
Work History
Education
Skills
Publications
Timeline
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Akanksha Subudhi

AI Researcher

Summary

AI researcher specializing in Brain-Computer Interface (BCI) technology, with 2+ years of professional experience, an MTech (AI, Computer Science) degree and GATE qualified Computer Engineer. Track record includes publication of several impactful research papers in the field of BCI. Proficient in Inferential Statistics, Signal processing, Neuro-Science, Data Visualization. Leveraged Machine Learning algorithms to drive innovation in neurotechnology for improved human-machine interaction and healthcare solutions.

Overview

6
6
years of professional experience
6
6
years of post-secondary education

Work History

AI Researcher

CDAC
09.2023 - Current
  • Worked on EEG, EOG modality on stress and deception detection for project: ‘Multi-modal Neurophysiological Framework for cognitive behavioural analysis’
  • Data collected in house of over 100 subjects on designed paradigm
  • Proposed novel technique for capturing EOG signals. Preprocessing, blink detection and analysis of features for stress identification
  • Artifact removal and signal processing for EEG (28 channels) including ICA, bad channel rejections, interpolation,re-referencing and filtering
  • EEG data visualization and analysis using functional connectivity, heatmaps, topoplots, PSD, band plots and statistical testing like repeated measure ANOVA
  • Feature extraction for training various ML models and respective hyper-tuning
  • Solved problem of inferencing on previously unseen data which enhanced inference capabilities of model by at least 2x times
  • Collaborated with interdisciplinary teams to conduct comprehensive studies and generate valuable insights.
  • Working on P300 ERP based BCI speller for people with special needs.

Application Developer (IBM Sterling OMS)

IBM India Private Limited
06.2018 - 01.2020
  • Worked as Package Solution Consultant in implementation of Sterling OMS (Order Management System) in retail sector (IKEA, Global)
  • Analyzed defects and issues in sales order management system for Global IKEA retail channels for enhancement of system performance
  • Knowledge of order monitoring, exception handling and PBIs (Problem Investigation)
  • Worked as team player during critical shortage of resource and time crunch
  • Dispute resolution in TAT (Turn Around Time)
  • Promoted after 1st year to System Engineer.

Education

M. Tech - Artificial Intelligence

DIAT, DRDO (Defense Institute of Advanced Technologies)
Pune
07.2021 - 05.2023

B. Tech. - Information Technology

Manipal University
Jaipur
08.2014 - 06.2018

Skills

  • Python

  • C

  • Java

  • MNE

  • Neurokit

  • Machine Learning

  • EEGLAB

  • MATLAB

  • MySQL

Publications

  • DeEN: Deep Ensemble Framework for Neuroatypicality Classification, 3rd Series of The International Conference for Intelligent Technologies (CONIT 2023, IEEE), Hubballi, Karnataka, DOI: 10.1109/CONIT59222.2023.10205528


  • Neuro-ocular Dynamics in Stress Detection: An Integrated Analysis of EEG and EOG Modalities, 4th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2024, Springer), Delhi

Timeline

AI Researcher

CDAC
09.2023 - Current

M. Tech - Artificial Intelligence

DIAT, DRDO (Defense Institute of Advanced Technologies)
07.2021 - 05.2023

Application Developer (IBM Sterling OMS)

IBM India Private Limited
06.2018 - 01.2020

B. Tech. - Information Technology

Manipal University
08.2014 - 06.2018

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Akanksha SubudhiAI Researcher