Prof Dr. Muhammad-Aasim-Biotechnology-Best Researcher Award
Sivas Science and Technology University-Turkey
Author Profile
Early Academic Pursuits
Prof Dr. Muhammad Asim embarked on his academic journey with a Bachelor's degree in Agronomy from the University of Agriculture Faisalabad in 1998, followed by a Master's degree in Agronomy from the same institution. His thirst for knowledge and passion for agricultural sciences led him to pursue a Ph.D. in Field Crops from Ankara Üniversitesi, Ankara, which he successfully completed in 2010.
Professional Endeavors
Prof Dr. Muhammad Asim academic career began with appointments as an Assistant Professor at Karamanoğlu Mehmetbey University, where he served in the Faculty of Science's Department of Biology from March 2011 to September 2013. He then progressed to the position of Associate Professor at both Karamanoğlu Mehmetbey University and Necmettin Erbakan University, where he continued to make significant contributions to the field of biotechnology until May 2018. Since June 2020, Dr. Asim has held the esteemed position of Professor at Sivas Science and Technology University, where he leads the Department of Plant Protection within the Faculty of Agricultural Sciences and Technologies.
Contributions and Research Focus
Prof Dr. Muhammad Asim is widely recognized for his pioneering research in agricultural biotechnology and plant sciences. His work focuses on leveraging advanced technologies, including artificial intelligence (AI) and machine learning (ML), to optimize various aspects of plant growth and development. Notably, Dr. Asim has made significant contributions to in vitro regeneration techniques and the application of nanoparticles, aiming to enhance the productivity and resilience of agricultural crops, particularly under environmental stress conditions.
Accolades and Recognition
Throughout his career, Prof Dr. Muhammad Asim has garnered widespread recognition and numerous accolades for his groundbreaking research and academic contributions. His work has been published in prestigious scientific journals, and he has received awards and honors for his innovative approaches to crop improvement and sustainable agriculture practices.
Muhammad Aasim, a luminary in the realm of biotechnology, proudly received the prestigious Biotechnology Award for his groundbreaking contributions to the field. Through innovative research and tireless dedication, Aasim has significantly advanced the frontiers of biotechnology, paving the way for transformative solutions to complex challenges.
Impact and Influence
Prof Dr. Muhammad Asim research has had a profound impact on the scientific community, contributing to the advancement of agricultural knowledge and practices worldwide. His interdisciplinary collaborations and innovative methodologies have paved the way for novel approaches to crop improvement and sustainable food production.
Aasim's remarkable achievements have not only earned him recognition within the scientific community but have also garnered him the esteemed title of Best Researcher.
Legacy and Future Contributions
As a respected leader in the field of agricultural biotechnology, Prof Dr. Muhammad Asim legacy extends far beyond his academic achievements. He is dedicated to mentoring and training the next generation of scientists and researchers, fostering a culture of innovation and excellence in agricultural sciences. Dr. Asim's ongoing research endeavors continue to push the boundaries of agricultural science, with a focus on addressing key challenges and promoting sustainable solutions for global food security.
Citations
- citations 2036
- h index 26
- i10 index 59
Notable Publication
- Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial
- Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and Riccia fluitans
- Computing artificial neural network and genetic algorithm for the feature optimization of basal salts and cytokinin-auxin for in vitro organogenesis of royal purple (Cotinus …
- Machine learning and artificial neural networks-based approach to model and optimize ethyl methanesulfonate and sodium azide induced in vitro regeneration and morphogenic
- Artificial intelligence–based approaches to evaluate and optimize phytoremediation potential of in vitro regenerated aquatic macrophyte Ceratophyllum demersum L