Neda Maleki

Neda Maleki

Lecturer
Department of Computer Science and Media Technology Faculty of Technology
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I will begin as a Senior Lecturer (Lektor) at Linnaeus University in September 2024. My responsibilities will include conducting and supporting research and teaching related to Python, Data Structures and Algorithms, and Web Programming (IoT part).

From October 2021 to September 2024, I worked on the projects "IoT Lab for Small and Medium-Sized Companies 1" and "IoT Lab for Small and Medium-Sized Companies 2", in Kalmar, Sweden. Detailed information about pilot cases and results can be accessed through my scholarly publications and the LNU Pilot Cases GitHub repository.
My research primarily focuses on Applied IoT, Edge-Cloud Computing, Distributed Systems (Hadoop, Spark), AI, and Machine Learning models for data analysis.

From 2014 to 2021, I pursued a Ph.D. at the Science and Research Branch of Islamic Azad University (SRBIAU) in Tehran, Iran, where I developed a secure and performance-aware framework to accelerate Hadoop under supervison of Prof. Amir Masoud Rahmani and Prof. Mauro Conti. Prior to this, I completed my Master's degree at Ghazvin Islamic Azad University (2009–2013), focusing on power management in cloud computing. My academic journey began with a Bachelor's degree from the same university (2004–2008), where I designed, simulated, and implemented a sunflower using AVR microcontrollers.

Teaching

1DV018: Bachelor's level, Data Structures and Algorithms, 7,5 credits

1DV501: Bachelor's level, Introduction to Programming, 7,5 credits

1DV505: Bachelor's level, Programming and Data Structures, 7,5 credits

1DV027: Bachelor's level, Web Platform-Introduction to Internet of Things (IoT), 15 credits

1DT305: Bachelor's level, Applied IoT-Introduction to IoT, 7.5 credits

2DT304: Bachelor's level, Project with Embedded Systems, 7.5 credits

2DV50E: Bachelor's level, Final Thesis (Examensarbete), 15 credits

2DT00E: Bachelor's level, Final Thesis (Examensarbete), 15 credits

4DV119: Master level, Applied IoT Competence (Tillämpad IoT Kompetens), 7,5 credits

Publications

Article in journal (Refereed)

Conference paper (Refereed)