farman ali

Assistant Professor

Sejong University

South Korea

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About

Farman Ali is an Assistant Professor at Sejong University in South Korea. His research interests encompass a variety of topics including artificial intelligence applications in smart waste management, network slicing for connected vehicles, and cybersecurity techniques for vulnerability detection. He has contributed to numerous articles focusing on data fusion for user experience enhancement, as well as the integration of multi-omics data. His work also explores AI-driven solutions for optimizing electric vehicle charging stations and advanced driver assistance systems.

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Collaborators (6)

Akhtar Ali

Research Professor

Konkuk University

SOUTH KOREA

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Daehan Kwak

Assistant Professor

Kean University

UNITED STATES

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Muhammad imran

Federation University

AUSTRALIA

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Syed Danial Ali Shah

University of South Australia

AUSTRALIA

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Tamer ABUHMED

Associate Professor

Sungkyunkwan University College of Natural Science

SOUTH KOREA

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Dr. Sukhjit Singh Sehra

Wilfrid Laurier University

CANADA

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farman ali

Research Interests

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About

Articles (27)

Dynamic AI-Driven Network Slicing With O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics

Smart waste management: a systematic review and scientometric analysis of artificial intelligence applications

Detecting malicious code variants using convolutional neural network (CNN) with transfer learning

Novel Data Fusion Scheme for Enhanced User Experiences in Terahertz-Enabled IoNT

A Novel caching framework for information-centric IoT using deep reinforcement Proximal Policy Optimization

A deep contrastive multi-modal encoder for multi-omics data integration and analysis

AI-Driven Dynamic Allocation and Management Optimization for EV Charging Stations

AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety

Action unit based micro-expression recognition framework for driver emotional state detection

Binary Code Analysis for Cybersecurity: A Systematic Review of Forensic Techniques in Vulnerability Detection and Anti-Evasion Strategies

A Systematic Review of Contemporary Indoor Positioning Systems: Taxonomy, Techniques, and Algorithms

Blood cell image segmentation and classification: a systematic review

User Safety and Security in the Metaverse: A Critical Review

AI student success predictor: Enhancing personalized learning in campus management systems

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods

Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis

DarkDeblur: Learning single-shot image deblurring in low-light condition

A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images

A novel driver emotion recognition system based on deep ensemble classification

A novel framework to avoid traffic congestion and air pollution for sustainable development of smart cities

An advanced deep learning models-based plant disease detection: A review of recent research

CEER: Cooperative Energy-Efficient Routing Mechanism for Underwater Wireless Sensor Networks Using Clusters

Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment

Multi-classification deep neural networks for identification of fish species using camera captured images

Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification

A Survey of EEG and Machine Learning-Based Methods for Neural Rehabilitation

Collaborators (6)

Akhtar Ali

Daehan Kwak

Muhammad imran

Syed Danial Ali Shah

Tamer ABUHMED

Dr. Sukhjit Singh Sehra

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