Dr. Ayshika Kapoor | Computer Science | Women Researcher Award

Indian Institute of Technology Roorkee, India

Dr. Ayshika Kapoor is a researcher in Electronics and Communication Engineering with a Ph.D. specializing in privacy-preserving and communication-efficient federated learning. Her work focuses on secure AI, urban sensing systems, and domain-adaptive learning. She has experience as a research scientist, contributing to intelligent mobility and autonomous systems. With multiple high-impact publications, conference presentations, and a granted copyright, she has earned prestigious fellowships and research recognition. Her contributions advance scalable, secure, and efficient AI solutions for real-world applications.

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Featured Publications

Federated learning for urban sensing systems: A comprehensive survey on attacks, defences, incentive mechanisms, and applications

– IEEE Communications Surveys & Tutorials (Cited by 26 · Year: 2024)

A resource adaptive secure aggregation protocol for federated learning based urban sensing systems

– Joint International Conference on Data Science (Cited by 6 · Year: 2023)

Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks

– Pervasive and Mobile Computing (Cited by 5 · Year: 2024)

K-HashFed: Communication Efficient Federated Learning through Gradient Clustering and Hashing

– IEEE ICASSP Conference (Cited by 3 · Year: 2025)

Optimization of user resources in federated learning for urban sensing applications

– Federated Learning for Distributed Data Mining Workshop (Cited by 3 · Year: 2023)

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