Sai Sesha Chalapathi g

Employment

• Birla Institute of Technology and Science, Pilani Assistant Pofessor
  2019 - Present
• University of Melbourne University Guest (Academic)

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• A Comprehensive Survey on Data Distillation: Techniques, Frameworks, and Future Directions
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2025.3633710
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• Reconstruction resilient privacy-aware dataset distillation using feature distribution matching technique
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2025.110822
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• Generation and Evaluation of Privacy-Preserving Tabular Synthetic Data Using Self-Attention Generative Adversarial Networks
  IEEE Transactions on Emerging Topics in Computational Intelligence 2026 DOI: 10.1109/TETCI.2026.3692508
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• From extractive to generative: multi-document summarization in the era of generative AI - advances, challenges, and emerging trends
  Artificial Intelligence Review 2026 DOI: 10.1007/s10462-026-11580-z
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• Secure and anonymous model training using pixel-level encryption for privacy-preserving AI with obfuscation-based representation learning
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110757
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• Privacy Utility Tradeoff Between PETs: Differential Privacy and Synthetic Data
  IEEE Transactions on Computational Social Systems 2025 DOI: 10.1109/TCSS.2024.3479317
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• Enhancing Data Privacy: A Comprehensive Survey of Privacy-Enabling Technologies
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3546618
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• From Information Overload to Lucidity: A Survey on Leveraging GPTs for Systematic Summarization of Medical and Biomedical Artifacts
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3521596
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• Privacy-Preserving On-Screen Activity Recognition via One-Shot Federated Learning
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3638797
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• Quantum-Accelerated Feature Selection for Edge-Enabled Perception in Connected and Autonomous Vehicles
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3634717
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