Dr. Abdul Waheed is a Research Fellow at the UNESCO–UNISA–iThemba LABS–NRF Africa Chair in Nanosciences and Nanotechnologies, University of South Africa, South Africa. Prior to this, he was a researcher at the Chinese Academy of Agricultural Sciences (CAAS), where he also earned his PhD in Bioinformatics. His doctoral work centered on genomic prediction, genome‑wide association analysis, and high‑throughput phenotyping to dissect root architecture and nitrogen‑use efficiency in wheat landraces. His research extends into nanobiotechnology, with a particular focus on engineering nano-biochar for advanced oxidation and reduction processes aimed at sustainable wastewater treatment and resource recovery. He has co‑authored over 30 peer‑reviewed publications, including a landmark study on wheat landrace diversity published in Nature, and contributes as a reviewer and editor for numerous international journals. His interdisciplinary expertise bridges computational plant genomics, AI‑driven crop modeling, and functional nanomaterial design to advance climate‑resilient agriculture and environmental remediation.
Dr. Abdul Waheed is a Research Fellow at the UNESCO–UNISA–iThemba LABS–NRF Africa Chair in Nanosciences and Nanotechnologies, University of South Africa, South Africa. Prior to this, he was a researcher at the Chinese Academy of Agricultural Sciences (CAAS), where he also earned his PhD in Bioinformatics. His doctoral work centered on genomic prediction, genome‑wide association analysis, and high‑throughput phenotyping to dissect root architecture and nitrogen‑use efficiency in wheat landraces. His research extends into nanobiotechnology, with a particular focus on engineering nano-biochar for advanced oxidation and reduction processes aimed at sustainable wastewater treatment and resource recovery. He has co‑authored over 30 peer‑reviewed publications, including a landmark study on wheat landrace diversity published in Nature, and contributes as a reviewer and editor for numerous international journals. His interdisciplinary expertise bridges computational plant genomics, AI‑driven crop modeling, and functional nanomaterial design to advance climate‑resilient agriculture and environmental remediation.