Muzafar Rasool holds a master’s degree in mathematics and a master’s in computer applications, and a Ph.D. in Artificial Intelligence. With nearly two decades of teaching and research experience at IUST, he has also been a founding member of the Centre for Artificial Intelligence and the coordinator for the Centre of Excellence at CIED, IUST. Additionally, He has organized several international conferences in Kashmir, including AI, IT in Surgery and Medical Research at GMC Srinagar and ICAIMLIS 2023 at IUST.
His research primarily focuses on building and advancing the theoretical foundations of AI, while simultaneously applying AI in practical contexts, particularly in Human Health, Agriculture, and Horticulture, as well as more broadly in AI and Society. With over 40 international publications in the field of AI and more than a dozen patents, he has made significant contributions to both theory and practice. He has secured research grants from prominent national agencies such as DST, ICMR, and SERB, and collaborates internationally with research collaborators from the USA, Canada, Qatar, and other countries.
His research has led to successful interventions in various sectors, including horticulture, agriculture, and local indigenous products such as Pashmina, carpet (Qaleen), and Saffron. Notable achievements include developing AI-enabled products for disease diagnosis in apples, authenticating genuine Pashmina and Qaleen against counterfeits, and instantly identifying genuine Kashmiri saffron against Spanish and Iranian varieties. Additionally, he has made significant contributions to human health by developing early diagnosis methods for Alzheimer’s disease, metastasis in esophageal/Head and Neck cancer, and other conditions in collaboration with researchers from the Watson and Crick Centre for Molecular Medicine in Kashmir and DigiBiomics in Canada.
The AI and ML fields are booming, and we need more Kashmiris to join the professional workforce and become Global Leaders in this space at academic and industrial levels.
