Shubham Garg

About

Shubham Garg is a Production Engineer at Meta and a researcher in computer vision, artificial intelligence, and deep learning. His work bridges academic research and large-scale engineering, with published contributions in areas such as vision transformers, multimodal emotion recognition, and yoga pose classification using CNN and MediaPipe architectures. He earned his Master’s in Computer Science from NYU Tandon School of Engineering, where his research focused on applied AI, big data analytics, and expert systems for real-world problem-solving.

Employment

• Meta Platforms Production Engineer
  2025 - Present

Education

• New York University Master of Science
  2023 - 2025
• Amity University
  2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• Decoding emotional nuances: A multimodal approach to detecting depression through audio, video, and text
  Information Fusion 2026 DOI: 10.1016/j.inffus.2026.104521
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• A vision transformer-based approach for brain tumor detection
  Artificial Intelligence in Medicine 2024 DOI: 10.1201/9781003369059-6
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• Emotion Recognition in Speech by Multimodal Analysis of Audio and Text
  2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) 2023 DOI: 10.1109/confluence56041.2023.10048872
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• Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application
  Journal of Ambient Intelligence and Humanized Computing 2022 DOI: 10.1007/s12652-022-03910-0
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• Skin cancer prediction using big data analytics and AI techniques
  BIG DATA ANALYTICS FOR HEALTHCARE: Datasets, Techniques, Life Cycles, Management, and Applications 2022
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