Bhakti Khera is a research assistant at RPTU specializing in BCI and AI.

• BCI: EEG data classification using ML and DL
• Generative AI: Working with different open-source Large language models

• Student Research Scientist at Fraunhofer ISST
  • Focused on heart sound segmentation and classification in dogs using Python MATLAB and various machine learning and deep learning models.
  • Member of the App Development Team deploying machine learning models into apps using Java Android Studio and TensorFlow Lite.

• Generative AI
• Machine learning
• Deep learning
• Data science
• Brain machine interfacing
• Biomedical engineering

• Bag-of-words vs. sequence vs. graph vs. hierarchy for single-and multi-label text classification. arXiv preprint arXiv, 2204, 2022(10.48550).
• Are We Really Making Much Progress in Text Classification? A Comparative Review. arXiv e-prints, arXiv-2204, 2022.
• RNH Hospital Application and Data Analysis. International Journal of Research in Signal Processing, Computing & Communication System Design, 2019, 40-48.

Python, MATLAB

Badminton, Swimming, Travelling

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