Communications Systems
Wireless communications, communication networks, cognitive radio, spectrum management, and next-generation communication technologies.
Ph.D. Candidate • RF & Microwave Engineering • Antennas • Intelligent Sensing
I am Abhijit Shinde, a Ph.D. candidate in Electrical and Computer Engineering at North Carolina A&T State University (graduating December 2027). I design tunable RF filters and antenna arrays, simulate them in HFSS, CST, and ADS, and validate them on the bench with VNA measurements and custom automated test software.
Seeking a Summer 2027 RF / microwave engineering internship
research.focus = [ "YIG tunable filters", "Antenna arrays", "Microwave imaging", "Automated VNA measurement", "ML-driven sensing" ]
My research connects electromagnetic simulation, hardware design, and measurement. I build RF and microwave devices, verify them on a calibrated VNA, and write the software that automates the experiments, from magnetic-field sweeps to S-parameter acquisition. I also apply machine learning to sensing problems in biomedical imaging and UAV systems.
Wireless communications, communication networks, cognitive radio, spectrum management, and next-generation communication technologies.
RF circuits, microwave filters, antennas, electromagnetic simulation, microwave imaging, and YIG-based devices.
Machine learning, deep learning, computer vision, biomedical imaging, pattern recognition, and data analytics.
Autonomous aerial platforms, intelligent sensing, remote sensing, robotics, and GPS-denied navigation.
A brief selection of projects across communications, RF and microwave engineering, AI, UAV systems, and optimization. Detailed project descriptions are available on the dedicated projects page.
Desktop application (Python, PySide6, PyVISA) that controls a GPIB power supply and a Keysight PNA-X VNA, runs calibrated magnetic-field sweeps, and records S11/S21/S12/S22 with a built-in safety layer.
LiteVNA 64, Arduino, and MATLAB scanner for repeatable S-parameter data collection and simulation-to-measurement comparison.
Magnetically tunable microwave filter using YIG resonators for frequency-agile RF front ends. Presented at IEEE AP-S/URSI 2026.
Deep-learning-driven microwave imaging using Vivaldi antenna arrays and CNN models for non-invasive detection.
Intelligent spectrum allocation and channel selection project for adaptive wireless communication systems.
Machine learning analysis of 1.88M U.S. wildfire records to identify spatial and temporal risk patterns.
Autonomous UAV system for GPS-denied mapping, search-and-rescue, and first-responder applications.
Optimization-based scheduling framework for conflict-free autonomous urban air mobility operations.
IEEE AP-S/URSI 2026
2016 Conference on Advances in Signal Processing (CASP)
Intelligent Computing and Information and Communication
Intelligent Computing and Information and Communication
Intelligent Computing and Information and Communication
Intelligent Computing and Information and Communication
Contact
I am looking for a Summer 2027 internship in RF and microwave engineering, antenna design, or RF test and measurement. I am also open to research collaborations.
Email Me