Dr. Ahmad Khan

Senior Researcher · Senior Researcher

Senior researcher specializing in object detection, image segmentation, and real-time computer vision systems.

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Biography

Dr. Ahmad Khan is a Senior Researcher at ICVRL with expertise in real-time object detection and semantic segmentation. His work focuses on developing efficient deep learning models for resource-constrained environments. He has published over 30 papers in international journals and conferences.

Research Interests

Object Detection Image Segmentation Real-time Vision Systems Edge Computing YOLO Architectures

Education

PhD in Computer Vision ??? [University Placeholder] MS in Artificial Intelligence ??? [University Placeholder]

Publications (6)

Journal Article

Deep Attention-Guided Network for Medical Image Segmentation

Shams ur Rehman, Ahmad Khan, Muhammad Hamza

IEEE Transactions on Medical Imaging, 2025

Conference Paper

Real-Time Object Detection in Aerial Imagery Using Lightweight Transformers

Ahmad Khan, Ali Raza, Shams ur Rehman

Computer Vision and Pattern Recognition (CVPR), 2025

Journal Article

A Comprehensive Survey of Vision Transformers in Medical Imaging

Shams ur Rehman, Muhammad Hamza, Ayesha Malik, Ahmad Khan

ACM Computing Surveys, 2025

Conference Paper

Efficient Panoptic Segmentation for Autonomous Driving Scenes

Ahmad Khan, Hassan Ahmed, Ali Raza, Shams ur Rehman

International Conference on Computer Vision (ICCV), 2025

Journal Article

Robust Face Recognition Under Occlusion Using Part-Based Feature Fusion

Ayesha Malik, Ahmad Khan, Shams ur Rehman

Pattern Recognition, 2024

Journal Article

Multi-Spectral Satellite Image Classification Using Hybrid CNN-Transformer Architecture

Ali Raza, Shams ur Rehman, Ahmad Khan

Remote Sensing of Environment, 2024

Projects

MedSeg-AI: Intelligent Medical Image Segmentation Platform

Active

An AI-powered platform for automated segmentation of medical images including CT, MRI, and X-ray scans with clinical-grade accuracy.

SkyWatch: Real-Time UAV Object Detection System

Active

A real-time object detection system optimized for UAV-mounted cameras with edge computing capabilities.

FaceGuard: Robust Facial Recognition Under Adverse Conditions

Active

Advanced face recognition system resilient to occlusion, varying lighting, and pose changes for security applications.

TerraVision: Satellite Image Analysis for Environmental Monitoring

Active

Deep learning-based satellite image analysis platform for land use classification and environmental change detection.