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Research Intern

Nokia Bell Labs, Murray Hill, United States (Remote)

Summer research internship

• Developed a large-scale multimodal digital twin dataset pipeline.
• Used the dataset to pretrain environment-aware foundation models for communication and sensing.

Research Associate, Wireless Intelligence Lab

Arizona State University, Tempe, United States

Advisor: Professor Ahmed Alkhateeb

• Focus: Foundation models for wireless channels, digital twin aided systems, and dataset similarity.

Research Assistant

University of Erlangen-Nuremberg, Erlangen, Germany (Remote)

Advisor: Professor Ralf Mueller

• Designed and simulated algorithms for RIS-aided MIMO communication under limited CSI.

Competition Organizer

Arizona State University, Tempe, United States

LWMMulti-Task Optimization Challenge

• Co-organized the ITU Large Wireless Models challenge.
• Prepared the competition package, supported participants, and evaluated submissions from 65 teams.

Peer Reviewer

Arizona State University, Tempe, United States

Professional service

• Journals: IEEE TCCN, IEEE TCOM, IEEE TSP, IEEE TWC.
• Conferences: IEEE SPAWC, IEEE ICC.

Teaching Assistant

University of Tehran, Tehran, Iran

Courses: Neural Networks, Advanced Communication Theory

• Prepared a hands-on introduction to reinforcement learning with Python.
• Designed assignments and graded work for more than 80 students.

Teaching Assistant

Ferdowsi University of Mashhad, Mashhad, Iran

Courses in circuits, signals and systems, communication systems, electrical engineering, and general mathematics

• Tutored approximately 60 students per semester.
• Supported weekly sessions, graded assignments, and prepared quizzes and projects.

Doctor of Philosophy

Arizona State University, Tempe, United States

Electrical Engineering

• Supervisor: Professor Ahmed Alkhateeb

Master of Science

University of Tehran, Tehran, Iran

Communications Engineering

• Thesis: Joint active and passive beamforming via reduced channel state information in reconfigurable intelligent surface assisted multiuser multiple input multiple output systems.
• Supervisor: Professor Amir Masoud Rabiei

Bachelor of Science

Ferdowsi University of Mashhad, Mashhad, Iran

Electrical Engineering

• Thesis: Detection, demodulation, and displaying digital video broadcasting terrestrial television signals with software defined radio.
• Supervisor: Professor Mehdi Saberi

Emerging Talents Initiative Grant

University of Erlangen-Nuremberg

Awarded for academic excellence and research potential.

Finalist, Iranian Electrical Engineering Olympiad

Iranian Electrical Engineering Olympiad

Recognized as a finalist in the national competition.

LWM-Spectro: A foundation model for wireless baseband signal spectrograms

Submitted to IEEE ICC

N. Kim, S. Alikhani, and A. Alkhateeb.

LWM-Temporal: Sparse spatio-temporal attention for wireless channel representation learning

Submitted to IEEE ICC

S. Alikhani, A. Malhotra, S. Hamidi-Rad, and A. Alkhateeb.

Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning

arXiv.org

J. Morais, S. Alikhani, A. Malhotra, S. Hamidi-Rad, A. Alkhateeb.

Digital twin aided channel estimation: Zone specific subspace prediction and calibration

IEEE ICMLCN

S. Alikhani and A. Alkhateeb, pp. 1-6.

LWM: A pre-trained wireless foundation model for universal feature extraction

IEEE ICMLCN

S. Alikhani, G. Charan, and A. Alkhateeb, pp. 1-6.

Digital Twin Aided Channel Estimation: Zone-Specific Subspace Prediction and Calibration

2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)

S. Alikhani, A. Alkhateeb.

Large wireless model: A foundation model for wireless channels

arXiv preprint arXiv:2411.08872

S. Alikhani, G. Charan, and A. Alkhateeb.

Digital twin for spectrum sharing and coexistence: Coordinating the uncoordinated

IEEE SPAWC

S. Alikhani and A. Alkhateeb, pp. 796-800.

Digital twin aided reconfigurable intelligent surface communication: Robust beamforming and interference management

IEEE VTC

S. Alikhani and A. Alkhateeb, pp. 1-6.

A dataset similarity evaluation framework for wireless communications and sensing

Asilomar Conference on Signals, Systems, and Computers

J. Morais, S. Alikhani, A. Malhotra, S. Hamidi-Rad, and A. Alkhateeb.

Digital Twin Aided RIS Communication: Robust Beamforming and Interference Management

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

S. Alikhani, A. Alkhateeb.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels

arXiv.org

S. Alikhani, G. Charan, A. Alkhateeb.

Precoding with reduced CSI in RIS-aided MIMO

Studied precoding strategies for RIS-assisted MIMO systems under limited CSI using convex optimization tools.

Proactive eavesdropping in RIS-assisted communications

Developed optimization-based methods for proactive eavesdropping using alternating optimization and semidefinite relaxation.

Music genre classification and clustering

Built a dataset of Persian songs, extracted features, and performed supervised and unsupervised learning for music genre analysis.

Low-complexity non-convex optimization

Designed an RL-based algorithm for non-convex optimization in RIS-aided communications and compared it with conventional methods.

Simulation of signal processing papers

Reproduced published results on semi-blind channel estimation and adaptive beamforming with MATLAB-based simulations.

Smart restaurant model

Designed a prototype with a website, RFID-based entry, database-backed ordering, and a customer notification pipeline.

Detection and demodulation of DVB-T signals

Implemented demodulation, error correction, and decompression of digital video broadcasting terrestrial signals using software defined radio.

Network design

Designed and simulated network architectures with VLANs, spanning tree, subnetting, trunking, FTP, and OSPF routing in Cisco Packet Tracer.