Sachin Katti

Sachin Katti is an Adjunct Professor in the Department of Electrical Engineering at Stanford University. His research focuses on wireless communication systems, machine learning integration in sensors and networks, and edge computing. He explores full-duplex radios, decentralized cellular networks, and innovative applications of RF and IoT technologies. Katti has contributed to projects like Backscatter communication, PIM video coding, and ML-EXray for edge model visibility. His work bridges theoretical advancements with practical implementations in areas like network optimization, sensor transparency, and autonomous systems.

Education: Not explicitly stated in the provided text.

Research Interests: Sachin Katti’s work spans wireless communication protocols, machine learning for edge devices, and decentralized network architectures. He investigates how to improve efficiency, reliability, and security in systems ranging from full-duplex radios to IoT-enabled sensor networks. His projects often address real-world challenges like energy efficiency, trust-free connectivity, and intelligent data processing. Recent efforts include trust-free cellular networks (d-Cellular), ML-driven video compression (PIM), and federated learning for autonomous driving.

Articles Trends: His recent publications emphasize blending machine learning with communication systems (e.g., ML sensors, co-design for cloud robotics) and advancing RF technologies (backscatter networks, ISM band utilization). There’s also a focus on edge computing challenges, such as visibility into deployed ML models and network offloading policies for robotics.

Awards: No scientific awards explicitly mentioned in the provided text.

Advising & Grants: No student advisees or grant details explicitly listed in the text. His contributions are primarily through research publications and systems development.

Labs/Teams: Involved in collaborative projects like Backscatter Communication, Full Duplex Radios, and SoftRAN (Software-Defined Radio Access Networks). His work often leverages Stanford’s infrastructure for testing dense WiFi networks (e.g., BeHop testbed) and RF localization systems (SpotFi).