Open to postdoctoral and AI research opportunities

Dr. Anas M. Ali

Ph.D. • Postdoctoral Researcher Candidate • AI Research Scientist

Computer vision researcher developing generative and transformer-based methods for image restoration, remote sensing, medical imaging, and multimodal intelligent systems.

Computer VisionGenerative AIImage RestorationRemote SensingMedical Imaging
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Portrait of Dr. Anas M. AliComputer Vision • Generative AI
53Research outputs
1,569Scholar citations
26Scholar h-index
34Scholar i10-index

Google Scholar metrics • updated August 2026

Background

Academic & Research Experience

Research Assistant

Robotics & Internet-of-Things Lab, Prince Sultan University, Riyadh
  • Develop generative, diffusion, transformer, and selective-state-space models for image restoration, remote sensing, and medical imaging.
  • Co-supervise researchers, design reproducible evaluation pipelines, and contribute to Q1 publications and international benchmarks.
  • Build multimodal robotic systems integrating ROS2, vision, and large language models.
  • Teaching: Generative AI (CS489) and Digital Logic Design (CS175).

Lecturer & Teaching Assistant

Alexandria Higher Institute of Engineering and Technology

Delivered image processing, DSP, programming, and VLSI courses and laboratories while mentoring undergraduate researchers.

Assistant Lecturer (Part-time)

Egyptian Air Defense College

Taught Electromagnetic Waves I & II to second-year engineering students.

Training

Education

Ph.D., Electronics & Communications Engineering

Menoufia University, Egypt

Dissertation: Optimized Algorithms for Multimedia Restoration in Computer Vision Applications.

M.Sc., Electronics & Communications Engineering

Menoufia University, Egypt

Deep-learning techniques for efficient medical-image super-resolution.

B.Sc., Electronics & Communications Engineering

AIET, Egypt

Communications, signal processing, electronics, and computing.

Current direction

Featured Research

Efficient vision systems that restore degraded visual information and improve downstream perception.

DG-GSM

Dual-branch gated selective modulation for nighttime remote-sensing enhancement and object detection.

Low-light enhancement • Remote sensing

MAG-ViT

Multi-attention grid Vision Transformer for efficient, high-fidelity remote-sensing super-resolution.

Vision Transformers • Super-resolution

SSVA

Self-scanned visual attention for enhanced mask-free shadow removal under complex illumination.

Expert Systems with Applications • 2025

DM–AHR

Self-supervised conditional diffusion for hair-artifact removal and improved dermoscopic diagnosis.

Cancers • Medical imaging

Dehazing-DiffGAN

Sequential diffusion and GAN fusion for high-fidelity dehazing of remote-sensing imagery.

IEEE TGRS • 2025

Prompting Robotic Modalities

A structured architecture that centralizes language models across sensing and control modalities.

FGCS • Multimodal AI & robotics
Recognition

Honors & Intellectual Property

🏆 CVPR 2025 NTIRE Runner-Up

Night Photography Rendering Challenge

Second place in the international NTIRE challenge at IEEE/CVF CVPR 2025.

🥈 ROSHN Hackathon — 2nd Place

RIOTU Lab, Prince Sultan University

Recognized for an AI-driven solution in a regional innovation challenge.

Registered Software Copyright

Saudi Authority for Intellectual Property

Dual-Branch Attention Network for Dynamic Illumination Enhancement in Nighttime Images.

SDAIA Scientific Contribution Award

Saudi Data and AI Authority

Recognition for scientific contributions in artificial intelligence.

Complete record

Publications & Research Outputs

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Capabilities

Technical Competencies

AI & Vision Models

Diffusion ModelsVision TransformersGANsState-Space ModelsSelf-Supervised LearningLLMs

Engineering

PythonPyTorchTensorFlowC++ROS2DockerLinux & HPCGit

Application Domains

Image RestorationRemote SensingMedical ImagingSuper-ResolutionLow-Light EnhancementDehazingShadow Removal