Neda Maleki
LecturerI 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
My ongoing research projects
Publications
Article in journal (Refereed)
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Maleki, N., Lundström, O., Musaddiq, A., Jeansson, J., Olsson, T., et al. (2024). Future energy insights : Time-series and deep learning models for city load forecasting. Applied Energy. 374.
Status: Published -
Xie, X., Sun, B., Li, X., Olsson, T., Maleki, N., et al. (2023). Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods. Journal of Marine Science and Engineering. 11 (4).
Status: Published -
Hedayati, S., Maleki, N., Olsson, T., Ahlgren, F., Seyednezhad, M., et al. (2023). MapReduce scheduling algorithms in Hadoop : a systematic study. Journal of Cloud Computing : Advances, Systems and Applications. 12.
Status: Published
Conference paper (Refereed)
- Lundström, O., Maleki, N., Ahlgren, F. (2024). Online Course Improvement Through GPT-4 : Monitoring Student Engagement and Dynamic FAQ Generation. .
- Musaddiq, A., Mozart, D., Maleki, N., Lundström, O., Olsson, T., et al. (2024). Internet of Things for Digital Transformation and Sustainable Growth of SME's. 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 29-31 July 2024. 1-5.
- Maleki, N., Musaddiq, A., Mozart, D., Olsson, T., Omareen, M., et al. (2023). DeltaBin : An Efficient Binary Data Format for Low Power IoT Devices. 2023 International Conference on Computer, Information and Telecommunication Systems (CITS), Genoa, Italy, 2023.
- Musaddiq, A., Maleki, N., Palma, F., Olsson, T., Toll, D., et al. (2023). Industry-Academia Cooperation : Applied IoT Research for SMEs in South-East Sweden. Internet of Things. GIoTS 2022. 397-410.
- Maleki, N., Xie, X., Musaddiq, A., Olsson, T., Mozart, D., et al. (2023). Unraveling Energy Consumption Patterns : Insights Through Data Analysis and Predictive Modeling. 15th International Conference on Applied Energy : Dec. 3-7, 2023, Doha, Qatar.
- Musaddiq, A., Mozart, D., Maleki, N., Olsson, T., Ahlgren, F. (2023). Integrating Object Detection and Wide Area Network Infrastructure for Sustainable Ferry Operation. 2023 IEEE International Conference on Imaging Systems and Techniques (IST), Copenhagen, Denmark.
- Maleki, N., Musaddiq, A., Toll, D., Palma, F., Olsson, T., et al. (2022). DynaSens : Dynamic Scheduling for IoT Devices Sustainability. 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, CoBCom 20222022.
- Mohammadian, M., Maleki, N., Olsson, T., Ahlgren, F. (2022). Persis : A Persian Font Recognition Pipeline Using Convolutional Neural Networks. 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, Islamic Republic of. 196-204.
- Musaddiq, A., Maleki, N., Palma, F., Mozart, D., Olsson, T., et al. (2022). Internet of Things for Wetland Conservation using Helium Network : Experience and Analysis. 12th International Conference on the Internet of Things, IoT 2022, Delft 7 - 10 November 2022. 143-146.