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Saurabh Band
Open to opportunitiesResearch Associate
I build reliable embedded IoT systems with Edge AI fault detection.
GermanyResearch Associate at University of Bremen
About
I've owned end-to-end IoT sensor-node projects at the University of Bremen, from requirements and component selection through hardware-software integration and validation.
My PhD focused on runtime fault detection for resource-constrained IoT devices. I designed lightweight ML-based anomaly detection for real-time sensor data on microcontrollers and published VarLogger in ACM Transactions on Internet of Things.
I also co-supervised four Master's projects to completion, planned project resources and budgets, and delivered multi-protocol wireless systems using LoRa, Bluetooth, and WiFi.
Experience
Research Associate
Managed multiple concurrent projects spanning technical direction and program coordination. Owned technical decisions for sensor-node hardware/software design and integration, including multi-protocol wireless communication. Co-supervised 4 Master's students, all completing successful theses. Designed and validated lightweight ML-based anomaly detection methods for real-time sensor time-series dat
Embedded SystemsC C++PythonESP32MSP430RIOT OSToitMicroPythonArduinoLogic AnalyzersUARTI2CSPIBluetoothWiFiPyTorch
Education
University of Bremen
Pursued a Dr.-Ing. (Ph.D.) in Electrical Engineering, focusing on runtime fault detection for resource-constrained IoT devices. Graduated with Magna cum laude (1.0).
Chemnitz University of Technology
Completed a Master of Science in Embedded Systems with a thesis on unsupervised domain adaptation for object detection with YOLO. Achieved a GPA of 2.0.
Mumbai University
Earned a Bachelor of Engineering in Electronics & Telecommunication with a GPA of 2.0.