University of Agriculture Faisalabad (UAF)

Full Name:	Mr. Muhammad Zeeshan Asaf
Designation:	Lecturer
Qualification:	MS
Specialization:	Deep learning, Artificial Intelligence
Research Areas:	Biomedical imaging, digital image processing, machine learning, large language models
Address:	Department of Computer Science, University of Agriculture, Faisalabad
Phone (Office):	+92419200161 - Ext. 3328
EMail (Primary):	zeeshan.asaf@uaf.edu.pk
EMail (Secondary):	zeeshan1523@gmail.com
HEC Approved Supervisor:	No
External Profile(s):	Google Scholar
Resume:	Preview

Sr#	Pub. Date	Title	Authors	Journals	Pages	Imp. Fact.	ISSN (Online)	ISSN (Print)	DOI	URL	HEC Cat.
1	2022-01-20	FrameQR®-code-embedded Paper Sensors: One-click Screening Solution to Analyze Colorimetric Output and On-chip Test and Patient Information.	Authors	Sensors & Materials, 34 (1)	1-11	1.20		0914-4935	https://doi.org/10.18494/SAM.2022.3431	https://doi.org/10.18494/SAM.2022.3431	X
2	2024-01-28	Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.	Authors	Scientific Reports , 14 (2335)		3.80	2045-2322		https://doi.org/10.1038/s41598-024-52833-7	https://doi.org/10.1038/s41598-024-52833-7	W
3	2024-10-08	A Modified Deep Semantic Segmentation Model for Analysis of Whole Slide Skin Images.	Authors	Scientific Reports, 14 (23489)		3.80	2045-2322		https://doi.org/10.1038/s41598-024-71080-4	https://doi.org/10.1038/s41598-024-71080-4	W
4	2024-10-05	E-Staining DermaRepo: H&E whole slide image staining dataset	Authors	Data in Brief, 57 ()		1.00	2352-3409		https://doi.org/10.1016/j.dib.2024.110997	https://doi.org/10.1016/j.dib.2024.110997	W
5	2025-04-28	Skin whole slide image segmentation using lightweight-pruned transformer	Authors	Biomedical Signal Processing and Control, 106 (107624)		4.90	1746-8108	1746-8094	https://doi.org/10.1016/j.bspc.2025.107624	https://doi.org/10.1016/j.bspc.2025.107624	W

Sr#	Conf. Date	Title	Authors	Conference	ISSN (Online)	ISSN (Print)	DOI	Duration	URL
1	2014-12-18	Role based access control architectural design issues in large organizations.	Authors	International Conference on Open-Source Systems & Technologies - IEEE - Lahore, Pakistan	978-1-4799-2054-9		2014.7029344		https://doi.org/10.1109/ICOSST.2014.7029344

Sr#	Pub. Date	Title	Authors	Edition	Volume	Publisher	ISBN	URL