Northeastern University Wireless Networks and Embedded Systems Lab
Ali Saeizadeh

Ali Saeizadeh

Ph.D. Student 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

NU IoT    Google Scholar Profile    LinkedIn Profile

Biography

Ali Saeizadeh is a Ph.D. student at Institute for the Wireless Internet of Things at Northeastern University, USA, under Prof. Tommaso Melodia. In 2022, he obtained his Bachelor's degree in Electrical Engineering at the University of Tehran. His main research efforts are focused on the application of AI and machine learning in wireless communication, digital twin technology, embedded deep learning applications, and next-generation wireless communication systems.

Research Interests

  • Deep Learning for Wireless Communications

  • Internet of Things

  • AI/ML

Publications

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