Farrukh Arslan
Computer Science · Purdue University West Lafayette
Publications
54
Citations
545
Est. group size
—
Recurring co-author estimate
Active years
15
Publishing since 2012
Farrukh Arslan works in computer science with a focus on applying machine learning and deep learning to areas such as healthcare monitoring, image and signal security (steganography, watermarking, encryption), IoT and edge computing, and network/cloud systems. Recent papers span topics from AI-based medical diagnosis (e.g., sleep stage classification, nutritional deficiency detection) to cybersecurity techniques like chaotic map-based encryption and image watermarking. Note that several of the listed publications in optical/quantum computing and healthcare AI have since been retracted or corrected.
Publication output grew fairly steadily from 2017 through a peak in 2024, but has dropped off sharply in 2025-2026, and several earlier papers have been retracted or corrected.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
FMDB Transactions on Sustainable Health Science Letters · 2026
- PPG-Based Sleep Stage Classification Using Pulse Wave Feature Fusion and Explainable AI
Engineering Technology & Applied Science Research · 2025
- AI-Driven Automated Helmet Detection in Underground Coal Mines using Attention-Enhanced Vision Transformer
Engineering Technology & Applied Science Research · 2025
- CViTLNN: A Hybrid Approach based on Vision Transformer and Liquid Neural Network for COVID-19 Detection
Engineering Technology & Applied Science Research · 2025
- EEVMC: An Energy Efficient Virtual Machine Consolidation Approach for Cloud Data Centers
IEEE Access · 2024
- Innovative Transformation of S-Box Through Chaotic Map Using a Pragmatic Approach
IEEE Access · 2024
- Smart and Secure Vehicle Parking System to Avoid Theft Using Deep Image Recognition
Journal of Innovative Computing and Emerging Technologies · 2024
- Retraction Note: Research on the quantum photonic convolutional neural network for artificial intelligence-based healthcare system security
Optical and Quantum Electronics · 2024
- Review of: "Automatic Content Analysis Systems: Detecting Disinformation in Social Networks"
2024
- Corrections to “Innovative Transformation of S-Box Through Chaotic Map Using a Pragmatic Approach”
IEEE Access · 2024
- Retraction Note: Polynomial cryptographic optical steganography substitution model for the telehealth system with multimedia data
Optical and Quantum Electronics · 2024
- Retraction Note: Smart explainable artificial intelligence for sustainable secure healthcare application based on quantum optical neural network
Optical and Quantum Electronics · 2024
- Using Machine Learning to Enable Edge Computing for IoT Applications
2024
- [Retracted] Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning
Journal of Healthcare Engineering · 2023
- Impact of node mobility on the DL based uplink and downlink MIMO-NOMA network
International Journal of Information Technology · 2023
- Optical and Quantum Electronics×6
- Zenodo (CERN European Organization for Nuclear Research)×4
- IEEE Access×3
- Engineering Technology & Applied Science Research×3
- International Journal of Advanced Research×3
- Zhiqiang Lin
Computer Science · The Ohio State University
- Xinghan Wang
Computer Science · Purdue University West Lafayette
- Jiayuan Chen
Computer Science · The Ohio State University
- Marco Brocanelli
Computer Science · The Ohio State University
- Wei Li
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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