Ali Haider
Scholar

Ali Haider

Google Scholar ID: -ADiGUAAAAAJ
Kyung Hee University
Vision Language ModelsImplicit Neural RepresentationDiffusion ModelsGenerative Modeling
Citations & Impact
All-time
Citations
38
 
H-index
2
 
i10-index
1
 
Publications
4
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • 2025: Submitted 2 papers to top AI conferences; released I-INR paper on arXiv (arXiv:2504.17364)
  • 2024: AAAI paper accepted (co-first author) on color correction diffusion model for scanned images; attended NeurIPS 2024
  • 2024: Published 'Improving Implicit Neural Representations with Robust Loss Function' at Korea Broadcasting Media Engineering Conference
  • 2021: First-author paper on thermal imaging human detection published in Infrared Physics & Technology (Impact Factor: 3.4)
  • Collaborated with Adobe Research, Télécom Paris, and LTCI on multiple publications
Research Experience
  • Researcher at MLVC Lab, Kyung Hee University (since 2022), working on INRs, diffusion models, and multimodal AI
  • Research Assistant at Center for Intelligent Systems and Security (CISS), Information Technology University, Lahore (2019–2022), under Dr. Qasim Mehmood, developing AI systems for automated malaria detection
  • Involved in MRI Acceleration and Reconstruction project with AiLive and NYU, using diffusion models for clinical imaging
  • Collaborated with KEI Media on Video Quality Assessment for streaming platforms, developing no-reference metrics
  • Led algorithm and data pipeline development at AI startup Due Dilly for sports card grading; company acquired by Beckett Media
  • Designed a low-cost microscopic malaria detection system at CISS, integrating hardware and AI for virtual staining and low-resource diagnosis