Andrea Calimera

Andrea Calimera is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He is actively involved in teaching and research, contributing to doctoral programs and undergraduate and graduate courses in computer engineering and data science.

• Full Professor (L.240), Polytechnic University of Turin
• Department of Control and Computer Science (DAUIN)
• Member, SmartData@PoliTO - Big Data and Data Science Laboratory
• Member, College of Computer, Film and Mechatronics Engineering

His research interests center on electronic design automation, energy-efficient electronic systems, and low-power design, with strong connections to artificial intelligence, embedded systems, and IoT. His work bridges hardware and software optimization for intelligent edge devices.

The recent publications (2023–2025) reflect a focused trend on federated learning, secure and efficient AI deployment on edge devices, and low-power embedded systems. Topics include robust evaluation in federated learning, resource management under label skew, homomorphic encryption for private tensor operations, pipeline optimization for keyword spotting, and side-channel attacks via DVFS for neural network fingerprinting—highlighting expertise in both performance and security of AI systems on constrained hardware.

Andrea Calimera supervises PhD and master's students and leads research projects funded by competitive and commercial grants. He has contributed to national and international patents on low-power depth estimation and single-image signal processing.

• Scientific Director, SENSEI Project (2017–2019): Energy-efficient machine learning on chip for IoT
• Scientific Director, Commercial Project (2020–2022): Design tools for AI on energy-efficient embedded mobile devices
• Supervision of PhD student Erich Malan (ongoing, since 2022) on distributed and federated learning over IoT networks
• Supervision of Bachelor's student Chen Xie (2020–2024) on synthesis of smart sensors

He teaches courses such as High-Level Synthesis (PhD), Synthesis and Optimization of Digital Systems, Machine Learning for IoT, and Efficient Computing for Artificial Intelligence across Computer Engineering and Data Science programs. His research group is EDA - Electronic Design Automation (DAUIN), which focuses on hardware-software co-design for intelligent systems.