Mohamed Taha

Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology

Papers

Total Citations

H-Index

About

Mohamed Taha is a researcher at the forefront of applying artificial intelligence and robotics to solve practical, high-impact problems in document preservation and clinical diagnostics. His work spans two distinct but equally innovative domains. In the field of digital preservation, Taha developed the "Automatic Book Scanner" (2018, 7 citations), a robotic system designed to address the global challenge of deteriorating physical archives. By automating the digitization process, his work offers a scalable solution to the immense problem of discarded books and documents due to limited storage and maintenance, directly contributing to cultural and historical preservation. Taha’s most significant impact, however, lies in biomedical engineering. He is the lead author of the landmark study "P–105 Clinical validation of mojo AISA, an artificial intelligence robotic CASA system" (2021, 6 citations), which clinically validated an AI-powered Computer-Assisted Sperm Analysis (CASA) system. This work demonstrated that an AI-driven robotic platform could match manual semen assessments within strict WHO error margins. By proving that such systems can reduce clinical workloads while increasing treatment accuracy, Taha is helping to modernize reproductive healthcare, making advanced diagnostics more accessible and reliable for fertility clinics worldwide.