Dr. Zakir Khan

Dr. Zakir Khan

Assistant Professor | Department of Computer Science, Air University, Aerospace & Aviation Campus Kamra

Email: [email protected]

Qualification: Ph.D. in Computer Science

Research Focus: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Image Analysis, Generative AI

Academic Profile

Full NameDr. Zakir Khan
DesignationAssistant Professor
DepartmentDepartment of Computer Science, Air University, Aerospace & Aviation Campus Kamra
Highest QualificationPh.D. in Computer Science
Discipline / AreaComputer Science; Artificial Intelligence, Machine Learning, Generative AI
Research Group / CentreNA

Research Interests

Artificial IntelligenceMachine LearningDeep LearningComputer VisionMedical Image AnalysisGenerative AIExplainable AIFederated LearningAI-based Healthcare SystemsIntelligent Decision-Support Systems

Areas of Specialization & Research Keywords

Areas of Specialization: AI-driven medical image analysis; RBC/anemia diagnosis; deep convolutional neural networks; GAN-based medical imaging; explainable and trustworthy AI; multimodal biomedical AI; applied AI systems.

Research Keywords: Artificial Intelligence, Deep Learning, CNN, GAN, Medical Imaging, Red Blood Cell Analysis, Anemia Detection, Explainable AI, Federated Learning, Computer Vision, Healthcare AI.

Research Impact & Metrics

646Google Scholar Citations
14Google Scholar H-index

Date checked: 23 September 2026.

Selected Publications & Research Achievements

AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images

Journal: Database: The Journal of Biological Databases and Curation

Year: 2024 | DOI: 10.1093/database/baae120

PMID: 39721046 | Impact factor reported: 5.8

Automatic eczema classification in clinical images based on hybrid deep neural network

Journal: Computers in Biology and Medicine

Year: 2022 | DOI: 10.1016/j.compbiomed.2022.105807

Impact factor reported: 6.3

Significant achievements: 30+ research publications, including 13 HEC W-category publications; contribution to the AneRBC benchmark dataset for anemia diagnosis; and an AI-powered online anemia detection system.

Research Projects & Funding

Deep Learning Based Prediction Support System for Anaemic RBC Imaging (NRPU-16107)

Role: Research Associate

Status: Completed

Funding agency: HEC NRPU

Funding amount: Rs. 2,462,250

Duration: June 2022 – July 2024

Partner: Clinical/pathology collaboration

Outcome: AneRBC dataset and AI-based anemia diagnosis research.

Publications & Research Outputs

Output TypeNumberScopus IndexedWoS IndexedInternational Co-authorship
Journal Articles22141410
Conference Papers124Not specified1
Books / Book Chapters11Not specifiedNot specified
Other Significant Outputs1Not specifiedNot specified1

Google Scholar: View complete publication list

Book chapter DOI: 10.1007/978-981-96-7749-8_22

AneRBC dataset DOI: 10.17632/hms3sjzt7f.3

Awards, Distinctions & Recognition

BSCS Gold Medal

Awarding organization: Hazara University

Year: 2012 | Recognition: National

Awarded for academic excellence during BSCS studies. Evidence/certificate to be provided.

International Research Collaborations

University of Hertfordshire, United Kingdom

Joint research/publication collaboration on the AneRBC dataset paper (2024).

View joint publication

University of Leicester, United Kingdom

Joint research/publication collaboration on the AneRBC dataset paper (2024).

View joint publication

International co-authorship network (UK / others)

Medical imaging and AI research collaboration, including RBC/anemia and AI healthcare outputs (2024–2026).

Evidence: Google Scholar and ResearchGate profiles.

Industry Collaboration & Employer Engagement

Shaukat Khanum Memorial Cancer Hospital & Research Centre

Nature: Clinical/pathology collaboration for RBC smear/CBC/morphology data.

Engagement: Research collaboration | Period: 2022–2024

Related AneRBC dataset publication

Professional Engagement

Professional NetworkAccelerated Machine Vision Group, NUST Islamabad
Major Employers / InstitutionsAir University; National University of Sciences and Technology (NUST); Hazara University
Other EngagementsProgram Head AI; AI/Gen-AI workshop trainer; curriculum development; student supervision and research mentoring

Research Outcomes & Innovations

AneRBC benchmark dataset for computer-aided anemia diagnosis

Research outcome supporting computer-aided anemia diagnosis using red blood cell images.

View dataset DOI

AI-powered online anemia detection system

Researcher Profiles & Links


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