Ph.D. Researcher • Communications • RF & Microwave Engineering • Intelligent Sensing.

Advancing communications, RF systems and intelligent sensing.

I am Abhijit Shinde, a Ph.D. researcher in Electrical and Computer Engineering at North Carolina A&T State University. My work connects communications engineering, RF and microwave systems, electromagnetic simulation, machine learning, and intelligent sensing for healthcare, wireless, UAV, and autonomous systems.

Abhijit V. Shinde
research.focus = [
  "YIG tunable filters",
  "Microwave imaging",
  "Antenna arrays",
  "ML-driven sensing",
  "UAV remote sensing"
]

Engineering research with system-level thinking.

My research focuses on building practical intelligent sensing systems by connecting simulation, hardware-aware design, data acquisition, and machine learning. I work across RF/microwave engineering, electromagnetic simulation, antenna systems, biomedical sensing, and UAV-enabled sensing platforms.

01

Communications Systems

Wireless communications, communication networks, cognitive radio, spectrum management, and next-generation communication technologies.

02

RF & Microwave Engineering

RF circuits, microwave filters, antennas, electromagnetic simulation, microwave imaging, and YIG-based devices.

03

Artificial Intelligence & Signal Processing

Machine learning, deep learning, computer vision, biomedical imaging, pattern recognition, and data analytics.

04

Autonomous & UAV Systems

Autonomous aerial platforms, intelligent sensing, remote sensing, robotics, and GPS-denied navigation.

Research & Engineering Portfolio

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.

RF & Microwave

Planar YIG Tunable Microwave Bandpass Filter

Magnetically tunable microwave filter using YIG resonators for next-generation RF communication systems.

RF + AI Healthcare

CNN-Based Microwave Imaging for Intracranial Hemorrhage Detection

Deep-learning-driven microwave imaging using Vivaldi antenna arrays and CNN models for non-invasive detection.

Communications

Dynamic Spectrum Management for Cognitive Radio Networks

Intelligent spectrum allocation and channel selection project for adaptive wireless communication systems.

AI & Data Analytics

Wildfire Analytics & Prediction

Machine learning analysis of 1.88M U.S. wildfire records to identify spatial and temporal risk patterns.

UAV Systems

NIST First Responder UAV Mapping System

Autonomous UAV system for GPS-denied mapping, search-and-rescue, and first-responder applications.

Optimization

NASA Urban Air Mobility Conflict Avoidance

Optimization-based scheduling framework for conflict-free autonomous urban air mobility operations.

View Detailed Projects →

Selected Publications

2016

Blood Spatter Trajectory Analysis for Spatter Source Reconstruction Using Image Processing

2016 Conference on Advances in Signal Processing (CASP)

2018

Overlapping Character Recognition for Handwritten Text Using Discriminant Hidden Semi-Markov Model

Intelligent Computing and Information and Communication

2018

Analysis of Multiple Features and Classifier Techniques Combination for Image Pattern Recognition

Intelligent Computing and Information and Communication

2018

An Image Processing Approach to Blood Spatter Source Reconstruction

Intelligent Computing and Information and Communication

2018

Overlapping Character Segmentation for Handwritten Text Using Hybrid Vertical Projection-Reverse Reservoir

Intelligent Computing and Information and Communication

View Full Publications →
HFSS XFdtd MATLAB Python Deep Learning RF Design Antenna Design S-Parameters GitHub Technical Writing

Let's Connect

Interested in communications, RF & microwave engineering, AI, or intelligent sensing? I'm always open to research collaborations, internships, and innovative engineering opportunities.

Email Me