Faheem Khan

About

Faheem Khan is a researcher at the intersection of robotics, healthcare, and network intelligence, with key contributions spanning the Internet of Things (IoT), wireless sensor networks, and AI-driven medical systems. His work on the edge metric dimension of honeycomb and hexagonal networks (2021, 12 citations) addresses fundamental challenges in robot navigation for IoT-enabled environments, providing a theoretical foundation for efficient localization in complex network topologies. Khan’s impactful research extends to healthcare robotics, where he developed a robot-based solution for assisting Alzheimer’s patients (2024, 9 citations), targeting the cognitive and daily-living challenges of this progressive neurological disorder. Most recently, his IoMT-enabled surgical monitoring system (2025) integrates robotics and AI—employing E²ARiA-RESNET-50 and MI-KMEANS—to enhance precision and recovery in robotic-assisted surgery, though it remains in early citation stages. Khan’s work is notable for bridging theoretical network metrics with practical, human-centered applications, demonstrating a clear trajectory from foundational IoT network design to real-world healthcare interventions. His research holds promise for advancing autonomous systems in critical care and assistive technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT

   12 citations · 2021
2. 2
   Robot-based solution for helping Alzheimer patients

   9 citations · 2024
3. 3
   An <scp>IoMT</scp>‐Enabled Surgical Monitoring System Utilizing Robotics and <scp>AI</scp> With <scp>E²ARiA</scp>‐<scp>RESNET</scp>‐50 and <scp>MI</scp>‐<scp>KMEANS</scp>

   1 citations · 2025

Key Collaborators

Contact & Links