Biografi/ Biography :
Pensyarah berpengalaman dengan gabungan kecerdasan buatan, pembelajaran mesin, strategi algoritma dan penyelesaian masalah. Dianugerahkan Ijazah Sarjanamuda dan Sarjana dalam bidang teknologi maklumat dari Universiti Kebangsaan Malaysia. Beliau kemudiannya menyambung pengajian ke peringkat Ijazah Kedoktorran (komputeran) di University of Leeds, UK dengan kerjasama dari St James`s Hospital untuk salah satu projek patologi digital. Projek penyelidikan sedia ada termasuklah dari jabatan oftalmology, O&G, Pathology dan Ortopedik. Projek penyelidikan lain termasuk pengecaman dan pengelasan kenderaan, anai-anai, riang-riang , penyakit tumbuhan dan jerebu dari data teks, bunyi, imej dan jujukan data.
Afzan Adam is a senior lecturer in the Center for Artificial Intelligence and Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. She is also a registered Professional Technologist with the Malaysian Board of Technologist, as well as the Digital Pathology Association. Her research interest mainly in digital pathology, while applying her machine learning and image processing skills on other domain as well. Completed her PhD in Computing at the University of Leeds (UK) on grading dysplasia on virtual slides, she is first in this field who came back to Malaysia and initiates the idea of gathering the Digital Pathology Society in Malaysia. Her projects include diagnosing cancers from histopathology images, to communication portals between pathologists as well as mobile apps development for the clinical routine task.
khushaalan arjunan, afzan adam, raja zahratul azma raja sabudin, mohammad faizal ahmad fauzi, elaine wan ling chan. (2025). hemaclassify: web-based blood diseases classification system utilizing high-resolution neural networks. - applied mathematics and computational intelligence. 119 - 138.
nurkhairul bariyah baharun, mohamed afiq hidayat zailani, afzan adam, reena rahayu md zin, nasir m. rajpoot, qiaoyi xu, muaatamarulain mustangin. (2025). can artificial intelligence replace pathologists in tumour infiltrating lymphocyte (til) assessment? a comparative study of manual versus ai-based scoring in triple-negative breast cancer (tnbc). - international congress of pathology and laboratory medicine (icpalm) 2025. .
mohamed afiq hidayat zailani, nurkhairul bariyah baharun, afzan adam, nasir m. rajpoot, reena rahayu md zin. (2025). performance evaluation of automated tumor-infiltrating lymphocytes (tils) assessment against manual assessment in triple- negative breast cancer for artificial intelligence algorithm validation. - international congress of pathology and laboratory medicine (icpalm) 2025. .
nurkhairul bariyah baharun, mohamed afiq hidayat zailani, afzan adam, nasir m. rajpoot, qiaoyi xu, muaatamarulain mustangin, reena rahayu md zin. (2025). can artificial intelligence replace pathologists in tumour-infiltrating lymphocyte (til) assessment? a comparative study of manual versus ai-based scoring in triple-negative breast cancer (tnbc). - international congress of pathology and laboratory medicine (icpalm) 2025. .
qiaoyi xu, afzan adam, azizi abdullah, nurkhairul bariyah. (2025). a review of advanced deep learning methods of multi-target segmentation for breast cancer wsis. - ieee access. 76016 - 76037.
qiaoyi xu, afzan adam, azizi abdullah, nurkhairul bariyah. (2025). a review of advanced deep learning methods of multi-target segmentation for breast cancer wsis. - ieee access. 76016 - 76037.
zhihao su, afzan adam, mohammad faidzul nasrudin. (2025). adaptive focal loss for keypoint-based deep learning detectors addressing class imbalance. - ieee access. 1 - 15.
md jahid hasan, wan siti halimatul munirah wan ahmad, mohammad faizal ahmad fauzi, jenny tung hiong lee, khor see yee, lai meng looi, fazly salleh abas, afzan adam, elaine wan ling chan. (2024). real-time segmentation and classification of whole-slide images for tumor biomarker scoring. - journal of king saud university - computer and information sciences. 1 - 20.
zhihao su, afzan adam, mohammad faidzul nasrudin, anton satria prabuwono. (2024). proposal-free fully convolutional network: object detection based on a box map. - sensors. 3529.
su, zhihao, afzan adam, mohammad faidzul nasrudin, masri ayob, and gauthamen punganan. (2023). skeletal fracture detection with deep learning: a comprehensive review. - diagnostics. 3245.
goh jee yuan, afzan adam, mohammad kamrul hasan, zaid abdi alkareem alyasseri, mohammad faizal ahmad fauzi, elaine wan ling chan. (2023). advancements in lossless and reversible compression of digital pathology images via auto-recursive set partitioning in hierarchical trees and wavelet decomposition. - traitement du signal. 2723-2730.
afzan adam, shahnorbanun sahran, siti nurul huda sheikh abdullah, goh jee yuan, suria hayati md pauzi, nordashima abd shukor. (2021). the user interface evaluation of integrated cancer diagnosing system. - malaysian journal of pathology. 137.
afzan adam, raja zahratul azma raja sabudin, siti norul huda sheikh abdullah, fazrul hisham musa, liew soo jin, thong wing yin, goh jee yuan, nur amirah athirah shariffuddin, chung yen wann. (2021). intelligent classification of blood cells with machine vision. - malaysian journal of pathology. 169.
amjed basil abdulkareem, nor samsiah sani, shahnorbanun sahran, zaid abdi alkareem alyessari, afzan adam, abdul hadi abd rahman, abdulkarem basil abdulkarem. (2021). predicting covid-19 based on environmental factors with machine learning. - intelligent automation and soft computing. 305-320.
abdul hadi abd rahman, rossilawati sulaiman, nor samsiah sani, afzan adam, roham amini. (2019). evaluation of peer robot communications using cryptoros. - international journal of advanced computer science and applications. 658-663.
zhihao su, afzan adam, mohammad faidzul nasrudin. (2025). adaptive focal loss for keypoint-based deep learning detectors addressing class imbalance. - ieee access. 1 - 15.
qiaoyi xu, afzan adam, azizi abdullah, nurkhairul bariyah. (2025). a review of advanced deep learning methods of multi-target segmentation for breast cancer wsis. - ieee access. 76016 - 76037.
md jahid hasan, wan siti halimatul munirah wan ahmad, mohammad faizal ahmad fauzi, jenny tung hiong lee, khor see yee, lai meng looi, fazly salleh abas, afzan adam, elaine wan ling chan. (2024). real-time segmentation and classification of whole-slide images for tumor biomarker scoring. - journal of king saud university - computer and information sciences. 1 - 20.
zhihao su, afzan adam, mohammad faidzul nasrudin, anton satria prabuwono. (2024). proposal-free fully convolutional network: object detection based on a box map. - sensors. 3529.
nur afini natrah mohd ashril, afzan adam, dahlila putri dahnil. (2023). pengelasan sebutan huruf hijaiyah menggunakan teknik pembelajaran mesin. - gema online® journal of language studies. 291-309.
shahnorbanun sahran, ashwaq qasem, khairuddin omar, dheeb albashih, afzan adam, siti norul huda sheikh abdullah, azizi abdullah, rizuana iqbal hussain, fuad ismail, norlia abdullah, suria hayati md pauzi, nurdashima abd shukor. (2018). machine learning methods for breast cancer diagnostic. - . 57-76.
afzan adam & shahnorbanun sahran. (2017). komputeran perubatan (mclab). - . 20-27.
rodziah latih, mohd nor hafizi abdullah, masura rahmat, afzan adam, siti aishah hanawi, zurina muda. (2024). sedekad sig ftsm. - sedekad sig ftsm. .
noor faridatul ainun zainal, afzan adam, abdul hadi abd rahman, nor samsiah sani . (2024). bengkel dron kepada pelajar sosioekonomi b40. - buletin akses tahun 2024. .
noor faridatul ainun zainal, afzan adam, abdul hadi abd rahman, nor samsiah sani . (2024). peningkatan pemikiran komputasional menggunakan dron. - pendidikan transformatif futuristik teras pembangunan lestari. 154 - 156.
nur fauzuna hannan ahmad, afzan adam, mohammad faidzul nasrudin. (2023). pengecaman aksara tulisan tangan menggunakan pembelajaran mendalam. - journal of information system and technology management (jistm). 31-41.
nor samsiah binti sani;azizi bin abdullah;shahnorbanun binti sahran;afzan binti adam. (2023). adaptive load balancing task based on genetic programming in mapreduce for parallel computing . - . .
nurkhairul bariyah baharun, mohamed afiq hidayat zailani, afzan adam, reena rahayu md zin, nasir m. rajpoot, qiaoyi xu, muaatamarulain mustangin. (2025). can artificial intelligence replace pathologists in tumour infiltrating lymphocyte (til) assessment? a comparative study of manual versus ai-based scoring in triple-negative breast cancer (tnbc). - international congress of pathology and laboratory medicine (icpalm) 2025. .
mohamed afiq hidayat zailani, nurkhairul bariyah baharun, afzan adam, nasir m. rajpoot, reena rahayu md zin. (2025). performance evaluation of automated tumor-infiltrating lymphocytes (tils) assessment against manual assessment in triple- negative breast cancer for artificial intelligence algorithm validation. - international congress of pathology and laboratory medicine (icpalm) 2025. .
nurkhairul bariyah baharun, mohamed afiq hidayat zailani, afzan adam, nasir m. rajpoot, qiaoyi xu, muaatamarulain mustangin, reena rahayu md zin. (2025). can artificial intelligence replace pathologists in tumour-infiltrating lymphocyte (til) assessment? a comparative study of manual versus ai-based scoring in triple-negative breast cancer (tnbc). - international congress of pathology and laboratory medicine (icpalm) 2025. .
afzan adam. (2024). automating the routine works, humanising the diagnostics . - international medini healthcare conference 2024. .
rodziah latih, mohd nor hafizi abdullah, masura rahmat, afzan adam, siti aishah hanawi, zurina muda. (2024). sedekad sig ftsm. - sedekad sig ftsm. .
| Geran / Grant | Kolaborator / Collaborator | Status |
|---|---|---|
| KI-67 SCORING AND AI-POWERED MITOSIS DETECTION IN THE HISTOPATHOLOGIC EVALUATION OF BREAST CANCER CASES FOR MALAYSIAN COHORT | pantai integrated lab sdn bhd | 57.2% (2024-01-01 sehingga 2026-12-31) |
| KI-67 SCORING AND AI-POWERED MITOSIS DETECTION IN THE HISTOPATHOLOGIC EVALUATION OF BREAST CANCER CASES FOR MALAYSIAN COHORT | acibadem university, turki | 57.2% (2024-01-01 sehingga 2026-12-31) |
| KI-67 SCORING AND AI-POWERED MITOSIS DETECTION IN THE HISTOPATHOLOGIC EVALUATION OF BREAST CANCER CASES FOR MALAYSIAN COHORT | virasoft yazılım ticaret a.s | 57.2% (2024-01-01 sehingga 2026-12-31) |
| DEVELOPMENT OF AI-BASED OBJECT DETECTION SYSTEM IN FGV R&D | fgv r&d sdn bhd | 42% (2025-02-01 sehingga 2026-07-31) |