Dr. Shruti Garg

PHD

Date of Joining: 1st June, 2007
  • Dept of CSE BIT Mesra Ranchi
  • 09430730791
    |
    8809500813

Research Areas

  • Biomedical Signal Processing
  • Artificial Intelligence
  • Data Science
  • Natural Language Processing

Work Experience

  • Teaching: 23.9 Years
  • Research: 21.4 Years
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Academic Profile

Dr Shruti Garg is a distinguished professional with a Ph.D. in Computer Engineering from Birla Institute of Technology, Mesra, Ranchi, INDIA. With 18 years of experience as an Assistant Professor in the Department of Computer Science and Engineering at the same institute, she specializes in Brain-Computer Interface (BCI), Natural Language Processing, Deep Learning, and Data Science. Dr. Shruti Garg has successfully supervised 3 Ph.D. candidates in BCI and data security. She has authored 40 international journal articles, 30 international conference/book chapters, and two registered designs, along with 5 patent publications. She has also guided 29 postgraduate and 50 undergraduate projects. Over the last five years, she has taught courses such as Natural Language Processing, Modern Artificial Intelligence, Data Interpretation and Analysis, and Mathematics for AI and ML. She is a professional member of IEEE (membership ID 97875106).

Award and Honours
Award and Honours

6

Total Award and Honours
Publications
Publications

59

Total Publications
Book Chapter
Book Chapter

2

Total Book Chapter
Project
Project

6

Total Project
Book
Book

1

Total Book

Leadership & Institutional Service

Teaching & Mentorship

Award and Honours

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Editor: AI-Enhanced Cyber-Physical and Societal Systems : Participating journal Discover Computing, Springer

Department of Statistics, Feature Selection, invited talk, 25 July-01 Aug 2025, Delhi University, Delhi

Department of Statistics, Supervised learning, invited talk, 10 Aug 2025, Delhi University, Delhi

Publications

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  • Patidar, P. K. , Shiwani, S. , & Garg, S. . (2027). Explainable hybrid consensus feature selection with VIF-Controlled multicollinearity for Voice-Based diabetes prediction. Biomedical Signal Processing and Control, 129, 111393. Elsevier.
  • Thangaraj, K. , Rao, K. S. , Saikumar, K. , & Garg, S. . (2026). A software-defined wrapper discriminant federated learning-reinforcement attention adversarial regression approach for privacy and task management in cloud edge computing. Knowledge-Based Systems, 115430. Elsevier.
  • Abgeena, A. , & Garg, S. . (2025). Unravelling emotions: exploring deep learning approaches for EEG-based emotion recognition with current challenges and future recommendations. Cognitive Neurodynamics, 19(1), 168. Springer Netherlands Dordrecht.

Current Sponsored Projects

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  • AI-Powered Fashion Trend Prediction System
  • Applied Statistical Modelling
  • Proposing Health Indicators for Modelling and Prediction of Selected Biological Aspects in Human Communities
  • Secure Cloud Services to guard IOT Resources

Books

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  • Language of machines@shrutigarg4023-m7s. (n.d.). You Tube.

Book Chapters

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  • Garg, S. (2020). Forecasting of gold prices using bayesian regularization neural network. (pp. 147–153). Springer Singapore Singapore.
  • Garg, S. (2017). Automatic text summarization of video lectures using subtitles. (pp. 45–52). Springer Singapore Singapore.

Intellectual Property Rights (IPR)

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  • Indian Design: Neurological disorder sensing device

    • Inventors: Abgeena, & Tigga, N. P.
    • Date:

  • Culturally-aware emotion recognition from fMRI using dynamic functional connectivity and Graph neural networks.

    • Date:

  • Brain-region specific autism prediction system from electroencephalogram signals using graph convolution neural network.

    • Date:

  • Precision Drone Agriculture for Himalayan Diversity Farming Using Artificial Intelligence & Machine Learning.

    • Date:

  • Smart Device For Diabetics Monitoring & Control Using IoT And Artificial Intelligence Techniques.

    • Date:

Academic Events

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  • Supervision of PHD Thesis

  • Supervision of MTECH Thesis

  • National Conference on Statistical Methods and Applications in Interdisciplinary Areas, Delhi University, Delhi

    1. Event Type: Conference
    2. Event Date: