Dr Gargi Joshi- Bhide

About

Associate Professor, Dean R&D
G H Raisoni International Skill Tech University Pune, India
Researcher in the field of Applied AI, Multimodal AI, Explainable AI, Responsible AI

Employment

• G H Raisoni International Skill Tech University Associate Professor, Dean Research and Development
  2026 - Present
• Symbiosis International University Assistant Professor
  2024 - Present
• Symbiosis center for applied artificial intelligence Post doctoral research fellow
  2023 - Present
• Symbiosis center for applied artificial intelligence Post doctoral research fellow
  2023 - 2024
• SCAAI Project Associate MeitY
  2022 - 2023
• Symbiosis International University Symbiosis Institute of Technology JRF
  2019 - 2022
• D Y Patil College of Engineering Pune Assistant Professor
  2012 - 2019

Education

• SCAAI Post doctoral research fellow
  2023 - 2024
• Symbiosis International University PhD
  2019 - 2023
• D Y Patil College of Engineering Pune ME
  2012 - 2014
• Maharashtra Institute of Technology Aurangabad Btech
  ? - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• AID-SAR: Aerial Image Dataset for Search and Rescue in the Aftermath of Disasters
  2025 DOI: 10.1007/978-3-031-84602-1_14
  +Save
• Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis
  IEEE Transactions on Computational Social Systems 2024 DOI: 10.1109/TCSS.2022.3176403
  +Save
• Machine Learning for Cognitive Behavior Analysis: Dataset Methods Paradigms and Research Directions
  Brain Informatics 2023
  +Save
• Explainable Misinformation Detection Across Multiple Social Media Platforms
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3251892
  +Save
• Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
  Brain Informatics 2023 DOI: 10.1186/s40708-023-00196-6
  +Save
• Explainable Misinformation Detection across Multiple Social Media Platforms
  arXiv 2022 DOI: 10.48550/arXiv.2203.11724
  +Save
• A Review on Explainability in Multimodal Deep Neural Nets
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3070212
  +Save
• A review on explainability in multimodal deep neural nets
  arXiv 2021 DOI: 10.48550/arxiv.2105.07878
  +Save