Khan Muhammad

Assistant Professor (Tenure-Track)

Sungkyunkwan University

South Korea

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About

Dr. Khan Muhammad is an Assistant Professor (Tenure-Track) at Sungkyunkwan University, South Korea. His research interests include unsupervised person re-identification, diabetes prediction, and deep learning applications in industrial activity recognition. He has contributed to various fields through his work on advanced algorithms and datasets, focusing on areas such as video analysis for behavioral recognition and motion planning for autonomous vehicles.

Articles (30)

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2022

Collaborators (11)

Samee Khan

Mississippi State University

UNITED STATES

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Po Yang

Senior Lecturer in Large-scale Data Fusion

University of Sheffield

UNITED KINGDOM

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Brij B. Gupta

Macquarie University

AUSTRALIA

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Khan Muhammad

SOUTH KOREA

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Joel J. P. C. Rodrigues

PORTUGAL

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Mohammad Hijji

SAUDI ARABIA

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Tanveer Hussain

Lecturer

Edge Hill University

UNITED KINGDOM

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Khalid Mahmood Malik

Associate Professor

Oakland University

UNITED STATES

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Javier Del Ser

Research Professor

Fundación Tecnalia Research & Innovation

SPAIN

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Faouzi Alaya Cheikh

Professor

NTNU Fakultet for ingeniorvitenskap og teknologi Trondheim

NORWAY

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Mohammad S. Obaidat

UNITED STATES

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Khan Muhammad

Research Interests

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About

Articles (30)

DSFNet: Dual-fusion network with secondary clustering and feature integration for unsupervised person re-identification

DiaBD: A novel benchmark dataset for diabetes prediction

Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network

CABAD: A video dataset for benchmarking child aggression recognition

PROXIMAL POLICY OPTIMIZATION FOR COLLISION AVOIDANCE AND MOTION PLANNING IN AUTONOMOUS VEHICLES: A MATHEMATICAL MODELING PERSPECTIVE

A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models

Mitosis detection and classification for breast cancer diagnosis: What we know and what is next

MEXFIC: A meta ensemble eXplainable approach for AI-synthesized fake image classification

FRACTAL FEATURE MODELING: MULTI-DIMENSIONAL ATTENTION AND SPATIAL ADAPTIVE RELATIONSHIP LEARNING FOR PERSON RE-IDENTIFICATION

Adaptive Clustering and Weighted Regularization Contrastive Learning Framework for Unsupervised Person Re-identification

Multimodal Neurosymbolic Approach for Explainable Deepfake Detection

Cloth-Changing Person Re-Identification With Invariant Feature Parsing for UAVs Applications

Coverage Path Planning for IoUAVs With Tiny Machine Learning in Complex Areas Based on Convex Decomposition

Perspective Distortion Model for Pedestrian Trajectory Prediction for Consumer Applications

Hybrid Conv-Attention Networks for Synthetic Aperture Radar Imagery-Based Target Recognition

Intelligent Underwater Object Detection and Image Restoration for Autonomous Underwater Vehicles

Large-Scale Person Re-Identification for Crowd Monitoring in Emergency

A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos

AD-Graph: Weakly Supervised Anomaly Detection Graph Neural Network

Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization

Real-Time Medical Data Security Solution for Smart Healthcare

RBWCI: Robust and Blind Watermarking Framework for Cultural Images

Visual Appearance and Soft Biometrics Fusion for Person Re-Identification Using Deep Learning

Dual-Driven Resource Management for Sustainable Computing in the Blockchain-Supported Digital Twin IoT

Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring

A Reliable Sample Selection Strategy for Weakly Supervised Visual Tracking

Deepview: Deep-Learning-Based Users Field of View Selection in 360° Videos for Industrial Environments

A Deep Graph Network with Multiple Similarity for User Clustering in Human–Computer Interaction

Edge-Enabled Blockchain-Based V2X Scheme for Secure Communication Within the Smart City Development

Controllable Model Compression for Roadside Camera Depth Estimation

Collaborators (11)

Samee Khan

Po Yang

Brij B. Gupta

Khan Muhammad

Joel J. P. C. Rodrigues

Mohammad Hijji

Tanveer Hussain

Khalid Mahmood Malik

Javier Del Ser

Faouzi Alaya Cheikh

Mohammad S. Obaidat

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