Mrs. Salma Salimi | Robotics | Best Researcher Award
Mrs. Salma Salimi | University of Turku | Finland
Mrs. Salma Salimi is a doctoral researcher and project researcher specializing in intelligent embedded and robotic systems. With a strong academic foundation in electrical engineering and robotics, she has advanced her career toward developing secure, collaborative, and trustworthy multi-robot systems. Her professional journey spans both academia and industry, where she has demonstrated expertise in control systems, blockchain-based robotics applications, and human–robot interaction. Currently based at the University of Turku, she contributes as a lecturer, project researcher, and scholar, playing a key role in advancing robotics and distributed ledger technology for next-generation autonomous systems.
Professional Profile
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Summary of Suitability for Best Researcher Award
Mrs. Salma Salimi demonstrates strong suitability for the Best Researcher Award through her multidisciplinary expertise in robotics, control systems, and distributed ledger technology (DLT). Her academic and professional trajectory reflects both innovation and applied impact, particularly in collaborative multi-robot systems and their integration with emerging technologies.
Education
Her academic path reflects a consistent pursuit of excellence across engineering disciplines. She completed her Bachelor’s degree in Electrical Engineering with a focus on electronics, followed by a Master’s degree in Electrical Engineering–Control, where she researched robust controllers for aerial vehicles. Building upon this foundation, she embarked on her doctoral studies at the University of Turku, with a research emphasis on trustable collaborative multi-robot systems enhanced through distributed ledger technologies. Her educational experiences across Iran and Finland have shaped her into a globally oriented researcher with a multidisciplinary approach.
Experience
Mrs. Salma Salimi career blends academic and industrial experiences. Early on, she worked as an electrical installation designer and project manager, gaining practical exposure in managing large-scale technical and financial operations. These roles refined her leadership and engineering management skills. Transitioning to academia, she has since become an integral member of the Turku Intelligent Embedded and Robotics Systems Group. Alongside her research, she has been entrusted with significant teaching responsibilities, including main lectures on algorithmic foundations of robotics and artificial intelligence, and co-lecturing in aerial robotics, multi-robot systems, and blockchain applications in robotics. Her academic involvement also includes laboratory assistance and mentoring, further highlighting her role as both a researcher and educator.
Research Interests
Her research focuses on secure, decentralized, and collaborative robotic ecosystems. She has a strong interest in blockchain and distributed ledger technologies for robotics, aiming to enable secure communications, auditable operations, and trustable autonomy in multi-robot systems. Another core aspect of her work involves integrating machine learning approaches with ultra-wideband (UWB) sensing to enhance posture recognition and human–robot interaction. Additionally, she has contributed to event-driven frameworks, autonomous docking solutions, and the secure teleoperation of mobile robots. Her expertise spans robotics, artificial intelligence, control systems, and cyber-physical security, positioning her research at the intersection of emerging technologies for intelligent automation.
Awards
Her research and academic excellence have been recognized through competitive scholarships and grants. She has been awarded prestigious fellowships supporting her doctoral studies and advancing her contributions to robotic research. These awards not only highlight her scholarly merit but also reflect her commitment to impactful, forward-looking research in robotics and artificial intelligence.
Publication Top Notes
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Title: A customizable conflict resolution and attribute-based access control framework for multi-robot systems
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Title: Benchmarking ML Approaches to UWB-Based Range-Only Posture Recognition for Human-Robot Interaction
Mrs. Salma Salimi is an accomplished researcher whose work integrates robotics, distributed ledger technology, and artificial intelligence to solve challenges in secure, scalable, and intelligent multi-robot systems. With a strong academic foundation, meaningful industrial experience, and impactful teaching contributions, she has established herself as an emerging leader in robotics research. Her publications, awards, and teaching activities reflect a dedication to advancing knowledge while mentoring the next generation of engineers. Her nomination for recognition is supported by her pioneering contributions to the integration of blockchain and robotics, her innovative approaches to human–robot interaction, and her overall academic and research excellence.