Bahareh Fatemi

• Contributed to the RIOT OS open-source project by implementing Adaptive Data Rate (ADR) mechanisms for the LoRaWAN stack. • Developed a Pulse Density Modulation (PDM) driver for the nRF52840 board, enhancing device performance. • Researched and evaluated ADR algorithms using the FLORA simulation framework, optimizing transmission parameters to improve Data Extraction Rate (DER) and reduce network utilization under varied channel models.

• Conducted in-depth research on Adaptive Data Rate (ADR) mechanisms for optimizing data rate, airtime, and energy in LoRaWAN networks • Contributed to research on IoT communication technologies as part of a team at Isfahan University of Technology, focusing on Wireless Sensor Networks and IoT protocols such as LoRaWAN and NB-IoT.

• Worked on Smart Grid distribution planning, focusing on reliability, situational awareness, and outage reduction. • Integrated FLISR technology and ADMS-DERMS for improved fault isolation, restoration, and distributed energy resource management. • Applied data analytics for predictive maintenance and fault detection across the smart grid network.

Taught courses: Digital Logic Design, Digital Systems in Electronics and Computer Labs

• Taught undergraduate courses in Computer Architecture, Digital Logic Design, Hardware Languages (VHDL/Verilog), Microprocessors, Microcontrollers, and Embedded Systems • Supervised undergraduate student projects in embedded software/hardware co-design • Recognized for teaching excellence, ranked 2nd among 76 faculty members

Thesis: Design and Implementation of a Real-Time Optical Sensor for Photoplethysmography using Digital Lock-in Detection