Dolly Sapra

Dolly Sapra is a researcher at the University of Amsterdam, affiliated with the Department of Computer Science under the Faculty of Science. Her work focuses on adaptive deep learning, secure neural inference, energy-efficient computing, and fault-aware systems. She received the

• IEEE/ACM CASES '24 Outstanding Reviewer Award

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Her research spans Machine Learning, Edge Computing, and Embedded Systems, with a focus on

• Model elasticity for CNNs
• Privacy-preserving edge intelligence
• Power-efficient inference
• Transformer optimization
• Climate-aware computing

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The 15 most recent articles highlight her leadership in adaptive neural architectures, secure multi-party inference, and sustainable computing, with applications in embedded systems and real-time environments.