Brijesh Soni
Computer Science · The Ohio State University
Publications
43
Citations
421
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2008
Brijesh Soni works on wireless communications and signal processing, with a focus on cognitive radio networks, spectrum sensing, and MIMO (multi-antenna) systems. Recent work applies machine learning and deep learning methods, such as deep unfolding, vision transformers, and reinforcement learning, to problems like spectrum sensing, device positioning, indoor localization, and network resource allocation. The work spans both wireless systems engineering and applied AI techniques.
Publication activity grew from 2018 through a peak around 2021-2022, dipped in 2023-2024, and appears to be rising again into 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- FAN-F: A Fourier Analysis Network-based Framework for Efficient and Reliable Spectrum Sensing for 5G and Beyond
2026
- Optimizing Multi-UAV 3D Deployment for Energy-Efficient Sensing over Uneven Terrains
2026
- SPICE: Structured Pruning for Inference on Constrained Edge Devices
2026
- Vision Transformer Based User Equipment Positioning
2026
- A Cellular Market Model for Social Welfare Maximization Through a Subsidization Scheme
IEEE Access · 2026
- Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E Using Deep Reinforcement Learning
IEEE Open Journal of the Computer Society · 2025
- Vision Transformer Based User Equipment Positioning
arXiv (Cornell University) · 2025
- RSSI-Based Indoor Localization Using Machine Learning for Wireless Sensor Networks: A Recent Review
2024
- Deep Learning
2023
- Rate Forecaster based Energy Aware Band Assignment in Multiband Networks
2023
- Rate Forecaster based Energy Aware Band Assignment in Multiband Networks
arXiv (Cornell University) · 2023
- Brain–Computer Interface for Dream Visualization using Deep Learning
2023
- PU-DetNet: An Efficient Deep Unfolding aided Smart Sensing Framework for Cognitive Radio
2022
- PU-DetNet: An Efficient Deep Unfolding aided Smart Sensing Framework for Cognitive Radio
2022
- PU-DetNet: An Efficient Deep Unfolding aided Smart Sensing Framework for Cognitive Radio
2022
- IEEE Access×3
- Wireless Networks×2
- 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)×2
- arXiv (Cornell University)×2
- Algorithms for intelligent systems×1
- Eylem Ekici
Engineering · The Ohio State University
- Salil Reddy
Engineering · The Ohio State University
- Jingqi Huang
Engineering · Purdue University West Lafayette
- Washim Uddin Mondal
Computer Science · Purdue University West Lafayette
- Yi Jiang
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile