Dr. Jabir Khan | Agricultural and Biological Sciences | Young Scientist Award Posted on 05/07/2024 by sciencefather Dr. Jabir Khan | Agricultural and Biological Sciences | Young Scientist Award Dr. Jabir Khan, Henan University of Technology China, Pakistan Dr. Jabir Khan, an accomplished scholar at Henan University of Technology, China, Pakistan, specializes in Agricultural and Biological Sciences. His groundbreaking research has earned him acclaim, including the prestigious Young Scientist Award. Dr. Khan’s work focuses on advancing agricultural practices and biological sciences, contributing significantly to global knowledge in these fields. His dedication to innovation and academic excellence is evident through his impactful contributions to research and education. 🌱🔬 Profile Googlesholar Education Dr. Jabir Khan is a dedicated scholar with a rich academic journey spanning multiple disciplines and countries. He completed his Ph.D. in Food Science and Engineering at Henan University of Technology, China, following an M.Sc. (Hons) at China Agricultural University, Beijing. His research focuses on the impact of heat treatments on phenolic acids and dietary fibers in whole grains, studying their role in chronic non-communicable diseases. Earlier, he earned his B.Sc. (Hons) in FST from Abdul Wali Khan University, Pakistan, where his thesis on chitosan oil’s effect on mango fruit quality garnered acclaim. Driven by curiosity and excellence, he continues to contribute significantly to the field of food science. 🎓 Experience Teacher and Administration Dr. Jabir Khan has a diverse educational and professional background spanning various international and local institutions. From his early career at The Raising Star Public School in Pakistan to teaching at the Best International Education in Henan, China, he’s demonstrated a commitment to education. His internship at ARI Tarnab and subsequent role as IT Department Head at GLT KLR showcase his versatility. Dr. Khan has also participated in numerous training workshops and conferences focused on agriculture innovation, climate change, biosafety, and data interpretation, reflecting his dedication to continuous learning and research. His journey is marked by a passion for education 📚 and environmental sustainability 🌱. Awards and Recognitions Dr. Jabir Khan has been recognized with prestigious awards including the HEC Prime Minister’s Laptop Scheme Award and a CSC scholarship for his Master’s studies. 🏅 These accolades underscore his academic excellence and commitment to advancing in the field of Food Science and Engineering. His achievements reflect not only his dedication to research and education but also his ability to contribute significantly to the scientific community. Technical Skills Dr. Jabir Khan excels in MS Office, statistical analysis, and data interpretation, essential for his research in food science and engineering. 📊 His expertise includes handling complex datasets and presenting findings effectively, crucial for advancing knowledge in dietary fibers and phenolic acids’ role in health. 🍎🔬 With strong communication skills honed through teaching and international academic engagements, he adeptly translates scientific insights into accessible information. 💬🎓 His proficiency in these technical areas underpins his ability to contribute significantly to research publications and academic discussions, ensuring clarity and precision in scientific communication and presentation. Publications Top Notes Consumption of mung bean (Vigna radiata L.) attenuates obesity, ameliorates lipid metabolic disorders and modifies the gut microbiota composition in mice fed a high-fat diet Sugar-and artificially sweetened beverages consumption linked to type 2 diabetes, cardiovascular diseases, and all-cause mortality: a systematic review and dose-response meta … Overview of the composition of whole grains’ phenolic acids and dietary fibre and their effect on chronic non-communicable diseases A novel machine learning strategy for the prediction of antihypertensive peptides derived from food with high efficiency Composition of Whole Grain Dietary Fiber and Phenolics and Their Impact on Markers of Inflammation Grains in a Modern Time; A Comprehensive Review on Compositions and Understanding their Role in Type 2 Diabetes and Cancer Enhancing biofilm penetration and antibiofilm efficacy with protein nanocarriers against pathogenic biofilms Evaluation of change in hematological parameters and epidemiological identification of dengue virus infection at district Peshawar, Khyber Pakhtunkhwa, Pakistan
Assoc Prof Dr. Morteza Taki | Energy and environment | Best Faculty Award Posted on 13/05/202413/05/2024 by sciencefather Assoc Prof Dr. Morteza Taki | Energy and environment | Best Faculty Award Agricultural sciences and natural resources univetsity of khuzestan, Iran 🏆 Assoc. Prof. Dr. Morteza Taki, renowned in the realm of energy and environment, has been honored with the Best Faculty Award at the Agricultural Sciences and Natural Resources University of Khuzestan, Iran. His dedication and contributions have significantly impacted both academia and industry, fostering sustainable practices and innovative solutions. Through his research and teaching, Dr. Taki has inspired countless students and professionals to address pressing environmental challenges with creativity and rigor. His accolade symbolizes not only personal achievement but also the collective progress toward a greener, more resilient future. 🌱 Profile Scopus, Google scholar Education 🎓 Assoc. Prof. Dr. Morteza Taki’s academic journey embodies a commitment to excellence in agricultural mechanization engineering, particularly in energy-related fields. With a Ph.D. and M.Sc. from the University of Tabriz, Iran, and a B.Sc. from the Agricultural Sciences and Natural Resources University of Khuzestan, Iran, his educational trajectory reflects a profound dedication to advancing knowledge and expertise in energy-efficient technologies. Dr. Taki’s scholarly pursuits have not only equipped him with comprehensive understanding but also positioned him as a leader in research and innovation, contributing significantly to sustainable agricultural practices. His academic accomplishments symbolize a steadfast pursuit of excellence and a passion for transformative change in agricultural engineering. 🌱 Academic Appointment 🔍 Assoc. Prof. Dr. Morteza Taki’s extensive contributions as a reviewer underscore his profound impact on multiple fronts of academic inquiry. Since 2013, he has diligently assessed submissions for prestigious journals like the Journal of Cleaner Production, Energy, Renewable Energy, and more, fostering the dissemination of high-quality research. His commitment to scholarly rigor and excellence extends across diverse domains, from biosystems engineering to sustainable energy technologies. Dr. Taki’s meticulous reviews not only uphold the standards of academic publishing but also facilitate the advancement of knowledge in critical areas, reflecting his dedication to scholarly integrity and progress. 📝 Research Interests 🌱 Assoc. Prof. Dr. Morteza Taki pioneers groundbreaking research in multiple facets of sustainable agriculture and energy management. His expertise spans renewable energies, recycling, exergy, and their intersection with environmental preservation in agriculture. With a keen focus on innovation, he explores the transformative potential of artificial intelligence, integrating its applications into agricultural practices. Dr. Taki’s work extends to simulation-modeling, controlling, and energy management within greenhouse environments, enhancing resource efficiency and crop productivity. Utilizing soft computing techniques, he develops sophisticated solutions for complex agricultural challenges, including heat transfer optimization and the design of greenhouse solar dryers. His holistic approach underscores a commitment to sustainable development in agriculture. 🌿 Publications Top Notes A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I) Year: 2018 Citations: 184 Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse Year: 2016 Citations: 137 Solar thermal simulation and applications in greenhouse Year: 2018 Citations: 128 Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models Year: 2018 Citations: 124 Modeling and experimental validation of heat transfer and energy consumption in an innovative greenhouse structure Year: 2016 Citations: 119