Northeastern University Wireless Networks and Embedded Systems Lab
Ali Saeizadeh

Ali Saeizadeh

Ph.D. Candidate in Electrical Engineering

Institute for the Wireless Internet of Things

Department of Electrical and Computer Engineering
Northeastern University

Office: 640 Northeastern University EXP, 805 Columbus Ave, Boston, MA 02120
Mail: 640 Northeastern University EXP, 805 Columbus Ave, Boston, MA 02120

Email: saeizadeh.a@northeastern.edu

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Biography

Ali Saeizadeh is a Ph.D. candidate at the Institute for the Wireless Internet of Things (WiNes Lab) at Northeastern University, USA, advised by Prof. Tommaso Melodia. He received his Bachelor's degree in Electrical Engineering from the University of Tehran in 2022. His research focuses on applying AI and machine learning to wireless communication systems, with particular emphasis on Digital Twins, 5G/6G networks, channel modeling, radio map generation, and embedded deep learning applications for real-time wireless testbeds and next-generation network optimization.

Research Interests

  • Deep Learning for Wireless Communications

  • Internet of Things

  • AI/ML

Publications

Articles in Journals

  • A. Saeizadeh, M. Tehrani-Moayyed, D. Villa, J. G. Beattie Jr., P. Johari, S. Basagni, T. Melodia, "AIRMap -- AI-Generated Radio Maps for Wireless Digital Twins," arXiv:2511.05522 [eess.SP], October 2025. [pdf] [bibtex]
    This paper has been submitted to the IEEE for possible publication.

Articles in Conference Proceedings

  • A. Saeizadeh, M. Tehrani-Moayyed, D. Villa, J. G. Beattie, Jr., I. C. Wong, P. Johari, E. W. Anderson, S. Basagni, T. Melodia, "AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks," Proc. of IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Athens, Greece, October 2024. [pdf] [bibtex]

  • A. Saeizadeh, D. Schonholtz, J. S. Neimat, P. Johari, T. Melodia, "A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures," Proc. of IEEE 20th International Conference on Body Sensor Networks (BSN), Chicago, USA, October 2024. [pdf] [bibtex]

  • A. Saeizadeh, P. Brach del Prever, D. Schonholtz, R. Guida, E. Demirors, J. M. Jimenez, P. Johari, T. Melodia, "Demo: Multi-Modal Seizure Prediction System," Proc. of IEEE 20th International Conference on Body Sensor Networks (BSN), Chicago, USA, October 2024. [pdf] [bibtex]

  • A. Saeizadeh, D. Schonholtz, D. Uvaydov, R. Guida, E. Demirors, P. Johari, J. M. Jimenez, J. S. Neimat, T. Melodia, "SeizNet: An AI-Enabled Implantable Sensor Network System for Seizure Prediction," Proc. of IEEE/IFIP Wireless On-demand Network systems and Services Conference (WONS), Chamonix, France, January 2024. [pdf] [bibtex]

Links