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Rising Stars
2025

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Rising Stars

D-Index
42
Citations
7198
World Ranking
560
National Ranking
2

Computer Science

D-Index
43
Citations
7744
World Ranking
7990
National Ranking
129

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Nir Shlezinger is affiliated with Ben-Gurion University of the Negev in Israel. Their research spans multiple domains within engineering and computer science, with a significant focus on electrical and electronic engineering, artificial intelligence, aerospace engineering, signal processing, and computer networks and communications.

Their scholarly work frequently appears in notable publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The topics addressed in their research cover a broad spectrum of advanced technologies, such as:

  • Antenna Design and Analysis
  • Advanced Wireless Communication Technologies
  • Target Tracking and Data Fusion in Sensor Networks
  • Energy Harvesting in Wireless Networks
  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies

Some of their recent papers emphasize developments in signal processing, wireless communications, and neural network applications. Key publications include:

  • Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar, 2020, IEEE Transactions on Signal Processing
  • KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics, 2022, IEEE Transactions on Signal Processing
  • Beam Focusing for Near-Field Multiuser MIMO Communications, 2022, IEEE Transactions on Wireless Communications
  • Communication-efficient federated learning, 2021, Proceedings of the National Academy of Sciences
  • Model-Based Deep Learning, 2023, Proceedings of the IEEE

Their collaborations include frequent co-authorship with various researchers, among whom are:

  • Yonina C. Eldar
  • Guy Revach
  • Ruud J. G. van Sloun
  • George C. Alexandropoulos
  • Mohammadreza F. Imani

Shlezinger's body of work combines theoretical advances with applications in wireless communication systems and signal processing, leveraging machine learning approaches and optimization techniques to address challenges in multiuser MIMO systems, federated learning, and adaptive filtering under uncertain dynamics.

Best Publications

  • Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar

    Xiang Liu;Tianyao Huang;Nir Shlezinger;Yimin Liu

  • KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.

    Guy Revach;Nir Shlezinger;Xiaoyong Ni;Adria Lopez Escoriza

  • Beam Focusing for Near-Field Multi-User MIMO Communications

    Haiyang Zhang;Nir Shlezinger;Francesco Guidi;Davide Dardari

  • Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

    Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yimin Liu

  • Communication-efficient federated learning.

    Mingzhe Chen;Mingzhe Chen;Nir Shlezinger;H. Vincent Poor;Yonina C. Eldar

  • Model-Based Deep Learning.

    Nir Shlezinger;Jay Whang;Yonina C. Eldar;Alexandros G. Dimakis

  • 6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing

    Unknown

  • Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications

    Nir Shlezinger;George C. Alexandropoulos;Mohammadreza F. Imani;Yonina C. Eldar

  • MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

    Tianyao Huang;Nir Shlezinger;Xingyu Xu;Yimin Liu

  • UVeQFed: Universal Vector Quantization for Federated Learning

    Nir Shlezinger;Mingzhe Chen;Yonina C. Eldar;H. Vincent Poor

  • Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

    Unknown

  • Over-the-Air Federated Learning From Heterogeneous Data

    Tomer Sery;Nir Shlezinger;Kobi Cohen;Yonina Eldar

  • Federated Learning: A Signal Processing Perspective.

    Tomer Gafni;Nir Shlezinger;Kobi Cohen;Yonina C. Eldar

  • Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities

    George C. Alexandropoulos;Nir Shlezinger;Philipp del Hougne

  • Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing

    Unknown

  • ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

    Nir Shlezinger;Nariman Farsad;Yonina C. Eldar;Andrea J. Goldsmith

  • A reconfigurable intelligent surface with integrated sensing capability.

    Idban Alamzadeh;George C. Alexandropoulos;Nir Shlezinger;Mohammadreza F. Imani

  • PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading

    Unknown

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems

    Nir Shlezinger;Or Dicker;Yonina C. Eldar;Insang Yoo

  • Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.

    George C. Alexandropoulos;Nir Shlezinger;Idban Alamzadeh;Mohammadreza F. Imani

  • Federated Learning with Quantization Constraints

    Nir Shlezinger;Mingzhe Chen;Yonina C. Eldar;H. Vincent Poor

  • Near-field Wireless Power Transfer for 6G Internet-of-Everything Mobile Networks: Opportunities and Challenges

    Haiyang Zhang;Nir Shlezinger;Francesco Guidi;Davide Dardari

  • DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

    Nir Shlezinger;Rong Fu;Yonina C. Eldar

  • Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype

    Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yariv Shavit

  • A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint

    Mingjin Wang;Feifei Gao;Nir Shlezinger;Mark F. Flanagan

  • Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs

    Hanqing Wang;Nir Shlezinger;Yonina C. Eldar;Shi Jin

  • FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

    Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yimin Liu

  • Hardware-Limited Task-Based Quantization

    Nir Shlezinger;Yonina C. Eldar;Miguel R. D. Rodrigues

Frequent Co-Authors

Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Mohammadreza F. Imani
Mohammadreza F. Imani Arizona State University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
David R. Smith
David R. Smith Duke University
George C. Alexandropoulos
George C. Alexandropoulos National and Kapodistrian University of Athens
H. Vincent Poor
H. Vincent Poor Princeton University
Mingzhe Chen
Mingzhe Chen University of Miami
Davide Dardari
Davide Dardari University of Bologna
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen

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