hamideh saadabadi

Drove system engineering and functional architecture development for a pre-development initiative project that involved complex sensor interactions and intricate software design. Utilizing Cameo Systems Modeler, I successfully defined the interactions between various sensor hardware and software components, ensuring seamless integration across the system. This project required transitioning from high-level system abstractions to detailed functional requirements, enabling the development of a sophisticated software architecture from the ground up. My involvement in this initiative has equipped me with a deep understanding of managing and implementing demanding technical requirements, while also fostering cross-functional collaboration to drive innovation and achieve project goals. With a strong foundation in functional architecture development and a commitment to excellence, I am passionate about creating robust solutions that effectively address complex engineering challenges.

As a dedicated Control Software Engineer, I specialize in model-based function development, leveraging advanced tools and methodologies to drive innovation and efficiency in software solutions. My role involves developing cross-functional functions that enhance system performance and reliability. I have experience with Simulink Test and Piketec TPT, utilizing these powerful testing tools to introduce best practices within my team. My commitment to quality is reflected in the modeling and testing guidelines I have authored, which have significantly improved our development process and ensured robust validation of complex control systems. With a strong foundation in model-based design and a passion for continuous improvement, I thrive in collaborative environments where I can contribute to pioneering solutions that meet the highest standards of excellence.

My research centers on control systems, focusing on multi-agent systems and event-triggered control, particularly in environments characterized by communication constraints such as packet loss. I explore how agent behavior can be optimized through algorithmic strategies that enhance system performance and resilience. My work integrates concepts from linear parameter-varying control and networked systems to develop robust solutions for dynamic and distributed scenarios. Key contributions include: "A Decomposition Approach to Multiagent Systems with Bernoulli Packet Loss,” C. Hespe, H. Saadabadi, A. Datar, H. Werner, Y. Tang (2023, IEEE Transactions on Control of Network Systems). "Distributed H2 Controller Synthesis for Multi-Agent Systems with Stochastic Packet Loss,” C. Hespe, A. Datar, D. Schneider, H. Saadabadi, H. Werner, H. Frey (2023, ACC). "Event-triggered dynamic output feedback control for discrete-time polytopic linear parameter-varying systems,” H. Saadabadi, H. Werner (2020, IEEE Conference on Decision and Control). "Event-Triggered ℓ2-Optimal Formation Control for Agents Modeled as LPV Systems,” H. Saadabadi, H. Werner (2021, IEEE CDC). "Event-Triggered ℓ2-Optimal Formation Control with State-Estimation for Agents Modeled as LPV Systems,” G. Gebhardt, H. Saadabadi, H. Werner (2022, IEEE CDC). "Distributed Event-Triggered Consensus with Non-Identical Bernoulli Packet Dropout,” H. Saadabadi, C. Hespe, H. Werner (2022, ECC). By integrating theoretical insights with practical applications, I strive to advance our understanding of control systems and contribute to the development of innovative solutions for coordinating complex multi-agent interactions in dynamic environments. My research journey in control systems has been deeply enriched by supervising master's and bachelor's students, which has not only fostered their academic growth but also enhanced my own understanding and expertise in the field.

As a Hardware Engineer at Ibeo Automotive Systems, I am dedicated to advancing Lidar sensor technology by focusing on the development, testing, and optimization of electrical components. My responsibilities in this role include: Developing test scenarios for Lidar sensor hardware to ensure comprehensive evaluation of performance and reliability. Executing rigorous tests on automated test benches, analyzing hardware functionality and compliance with industry standards. Automating test processes leveraging Vector tools and CANoe, enhancing test efficiency and accuracy in hardware evaluation. Documenting all hardware test designs and results in Windchill and PTC to maintain thorough records and support quality assurance initiatives. My work contributes to the cutting-edge advancements in automotive technology, particularly in the context of autonomous driving systems.

As the Head of Electrical and Control Laboratory and R&D Engineer at Tavangar Eatemad Pasargad Co. Ltd , I played a pivotal role in advancing the development and application of HVAC systems. My multifaceted responsibilities encompassed mechanical, electrical, and control logic design, which allowed me to contribute significantly to various projects aimed at enhancing air conditioning technology. Overseeing the Electrical and Control Laboratory and directing R&D projects to enhance air conditioning technology. Developing troubleshooting documentation for various HVAC devices such as Split, Mini Chiller, Chiller, and VRF systems. Designing electrical panels and sensor circuits, utilizing PCB design and AVR microcontrollers. Installing and troubleshooting AC and DC motors, compressors, and fans to ensure optimal performance. Programming PLCs, including STW-542, to support the manufacturing of new heat pump mini-chillers. Conducting research on solar PV integration for air conditioning systems and investigating geothermal heat pump applications. Leading training workshops for technicians on HVAC installation and troubleshooting. This role allowed me to combine technical expertise with leadership, driving innovation in climate control and energy efficiency solutions.

With a Master's thesis titled "Hybrid State Estimation in Power Systems Using PMU and SCADA Measurements," I have focused on developing innovative methodologies to improve the reliability, efficiency, and security of power system operations. My research delves into how real-time data from PMUs and SCADA can be synergized to deliver accurate and dynamic state estimations, which are crucial for modern power system management. I have had the opportunity to present my findings at reputable conferences, showcasing my work on: “Dynamic State Estimation Using PMU and SCADA Measurements” at ICCIA 2013 “Large-Scale Power Systems Hybrid State Estimation Using PMU and SCADA Measurements” at ICEE 2016 Through these experiences, I have cultivated strong analytical and problem-solving skills, alongside a keen understanding of the challenges facing contemporary power systems.