Awais Ahmad | Agricultural Science and Innovation | Best Researcher Award

Published on by Research Hypothesis

Mr. Awais Ahmad | Agricultural Science and Innovation | Best Researcher Award

Mr. Awais Ahmad | Agricultural Science and Innovation | Student | Abdul Wali Khan University Mardan | Pakistan 

Mr. Awais Ahmad is a dedicated agricultural researcher focused on advancing climate-smart agriculture through innovative approaches that combine machine learning, remote sensing, and precision agronomy. His research emphasizes developing cost-effective and scalable solutions for fertilizer management, crop monitoring, and stress mitigation to enhance yield stability and sustainability. Known for his academic excellence and commitment to solving real-world agricultural challenges, Mr. Awais Ahmad represents a new generation of researchers working at the intersection of artificial intelligence and plant science. His work aims to empower farmers, optimize resource use, and contribute to global food security while addressing the pressing challenges of climate change and soil degradation.

Professional Profile 

Education

Mr. Awais Ahmad holds a Master of Science (Honors) in Agronomy from Abdul Wali Khan University Mardan, where his thesis focused on designing a machine learning-based approach for precise fertilizer management in maize crops using RGB imaging platforms. This project combined advanced data analytics, image-based plant phenotyping, and algorithm development to create a decision-support tool for farmers. He also earned a Bachelor of Science in Agriculture (Agronomy) from the same university, completing research on biochar and plant growth-promoting rhizobacteria as a sustainable solution to enhance wheat growth under chromium stress. His education provided him with strong expertise in field experimentation, statistical data analysis, Python programming, and modern agronomic techniques.

Experience

Mr. Awais Ahmad has been actively involved in multiple research projects and laboratory activities, gaining extensive experience in plant phenotyping, crop modeling, biochemical assays, and molecular techniques such as DNA extraction and PCR. He participated in a project on DNA profiling of different olive species, identifying genetic variations to support breeding and conservation programs. Beyond his research, he has contributed to community development as a chief coordinator for an agriculture-based youth training program, where he supervised training in olive nursery management and practical field skills. His experience also includes presenting at national seminars on sustainable agriculture, vegetation management, and molecular genetics, where he shared insights on improving crop resilience and productivity.

Research Interest

Mr. Awais Ahmad’s research interests lie at the forefront of agricultural innovation, focusing on AI-driven solutions for crop health monitoring, fertilizer efficiency, and bioremediation practices. His expertise includes hyperspectral and RGB image-based plant phenotyping, machine learning model development, data science for crop modeling, and the integration of microbial solutions to enhance plant growth under stress conditions. He is particularly passionate about combining remote sensing technologies with machine learning to predict crop performance, improve soil health management, and promote sustainable agricultural practices that are both environmentally friendly and economically viable.

Award

Mr. Awais Ahmad has been recognized for his academic excellence with a merit-based Laptop Award from the Prime Minister of Pakistan under a national scheme to support high-achieving students. This acknowledgment reflects his dedication to academic advancement and research excellence. His leadership in agriculture-based training programs further highlights his commitment to bridging the gap between research and practical application for the benefit of farming communities.

Selected Publications

  • Biochar and Plant Growth-Promoting Rhizobacteria: A Promising Combination Enhancing Wheat (Triticum aestivum L.) Growth Under Chromium Stress – 2025 – Citations: 12

  • Machine Learning-Based Approach for Precision Fertilizer Management in Maize Crop Using RGB Imaging – 2024 – Citations: 9

  • DNA Profiling and Genetic Diversity Analysis of Olive Species for Breeding and Conservation – 2024 – Citations: 7

  • Sustainable Agriculture Through AI-Driven Crop Phenotyping and Remote Sensing Applications – 2023 – Citations: 15

Conclusion

Mr. Awais Ahmad is an exceptional candidate for this award, with an academic and research record that demonstrates innovation, leadership, and a commitment to addressing global agricultural challenges. His contributions to precision agriculture, machine learning applications, and microbial solutions for crop growth represent significant advancements in sustainable food production. His ability to integrate field research with computational tools ensures that his work is both scientifically rigorous and practically relevant. With a growing publication record, collaborative research experience, and dedication to community training, Mr. Awais Ahmad is well-positioned to continue making transformative contributions to agricultural science and global food security.

Shucheng Huang | Agricultural Science and Innovation | Best Researcher Award

Published on by Research Hypothesis

Shucheng Huang | Agricultural Science and Innovation | Best Researcher Award

Assist. Prof. Dr Shucheng Huang, Henan Agricultural University, China

Dr. Shucheng Huang is a distinguished Associate Professor at Henan Agricultural University, renowned for his groundbreaking research in animal nutrition, metabolism, and disease prevention. His expertise lies in the integration of probiotics and traditional Chinese medicine to enhance animal health and productivity. With a Ph.D. in Veterinary Medicine from Huazhong Agricultural University (2015-2018) and extensive research experience, he has significantly contributed to the field of animal science. Dr. Huang’s pioneering work in bone health, oxidative stress, and gut microbiota has led to numerous high-impact publications, research projects, and international collaborations. His dedication has earned him multiple prestigious awards, including first-prize recognition from the Henan Provincial Education Department and leadership roles as a guest editor for international journals. Through innovative research and academic excellence, Dr. Huang continues to advance the understanding of animal physiology and nutrition, solidifying his reputation as a leading researcher in veterinary and animal sciences.

Publication Profile

Orcid

Education

Dr. Shucheng Huang’s academic journey is marked by excellence in veterinary medicine and animal health research. He obtained his Ph.D. in Veterinary Medicine from Huazhong Agricultural University (2015-2018), where he conducted pioneering studies on bone metabolism and gut microbiota in poultry. Before that, he completed his Master’s degree in Veterinary Medicine at Henan Agricultural University (2012-2015), focusing on nutritional interventions and disease prevention in livestock. His Bachelor’s degree in Animal Medicine from Henan University of Science and Technology (2010-2012) laid a strong foundation for his future research in animal health, metabolism, and probiotics applications. Throughout his academic career, Dr. Huang engaged in collaborative research projects, advanced laboratory studies, and international training programs. His education and research contributions have significantly influenced the development of innovative solutions for livestock health, sustainable animal farming, and traditional Chinese medicine applications in veterinary science. 🏅📖

Experience

Dr. Shucheng Huang has been an Associate Professor and Researcher at Henan Agricultural University since 2018, specializing in animal nutrition, metabolism, and disease prevention. He has led multiple national and provincial research projects and collaborated with leading veterinary institutions worldwide. His role extends beyond academia, as he has served as a visiting scholar at various international institutions, contributing to cutting-edge research on gut microbiota, oxidative stress, and bone health in livestock. Dr. Huang is also an active speaker at global conferences, sharing insights on traditional Chinese medicine, probiotics, and metabolic regulation in animals. His expertise in research methodology, experimental design, and scientific writing has made him a sought-after mentor for graduate and Ph.D. students. Through his teaching, research, and publications, Dr. Huang has made remarkable advancements in animal physiology, strengthening the scientific foundation of veterinary medicine and improving animal health management.

Awards & Honors

Dr. Shucheng Huang has received multiple prestigious awards in recognition of his remarkable research achievements in veterinary medicine and animal science. His groundbreaking studies earned him two first-prize awards from the Henan Provincial Education Department for outstanding research papers on poultry bone metabolism and probiotics applications. He has secured funding for several national and provincial research projects, highlighting his leadership in animal health and nutrition research. His contributions to international scientific communities have been recognized through guest editor roles in leading veterinary and animal science journals. Dr. Huang’s dedication to academic excellence and innovative research has positioned him as a top researcher in his field, influencing policy and best practices in livestock management. His commitment to mentoring young scientists and advancing knowledge in veterinary medicine continues to earn him international recognition and professional honors.

Research Focus

Dr. Shucheng Huang’s research advances animal health through nutrition, probiotics, and traditional Chinese medicine applications. His expertise spans animal nutrition and metabolism, where he investigates dietary components’ roles in growth, bone development, and immune function. He also focuses on disease prevention and control, developing natural interventions to mitigate common poultry and livestock diseases. His work on gut microbiota and probiotics explores microbial communities that influence animal growth, metabolism, and disease resistance. In poultry bone health, he studies the mechanisms of tibial dyschondroplasia and vascularization in bone growth. Additionally, he evaluates natural compounds from traditional Chinese medicine to enhance livestock immunity and productivity. Through interdisciplinary research, experimental studies, and high-impact publications, Dr. Huang provides valuable insights into animal physiology and sustainable livestock management. His research has direct applications in modern veterinary medicine, animal husbandry, and food production industries, benefiting both academic and commercial sectors.

Publication Top Notes

  • Gut microbiome dysregulation drives bone damage in broiler tibial dyschondroplasia by disrupting glucose homeostasis 🐓

  • Morinda officinalis polysaccharides improve meat quality by reducing oxidative damage in chickens suffering from tibial dyschondroplasia 🍗

  • Integrated Fecal Microbiome and Metabolomics Reveals a Novel Potential Biomarker for Predicting Tibial Dyschondroplasia in Chickens 🐓

  • Total Flavonoids of Rhizoma Drynariae Ameliorate Bone Growth in Experimentally Induced Tibial Dyschondroplasia in Chickens via Regulation of OPG/RANKL Axis 🌿

  • Probiotics Treatment of Leg Diseases in Broiler Chickens: A Review 🐓

  • Aflatoxin B1 causes oxidative stress and apoptosis in sheep testes associated with disrupting rumen microbiota 🐑

  • Tibial growth plate vascularization is inhibited by the dithiocarbamate pesticide thiram in chickens: potential relationship to peripheral platelet counts alteration 🌾

  • Role and regulation of growth plate vascularization during coupling with osteogenesis in tibial dyschondroplasia of chickens 🐓

  • Oxygen Supplementation Ameliorates Tibial Development via Stimulating Vascularization in Tibetan Chickens at High Altitudes 🏔️

  • Tibial dyschondroplasia is highly associated with suppression of tibial angiogenesis through regulating the HI-1ɑ/VEGF/VEGFR signalling pathway in chickens 🐓

Ali Kaab | Agricultural Science and Innovation | Best Researcher Award

Published on by Research Hypothesis

Ali Kaab | Agricultural Science and Innovation | Best Researcher Award

Dr Ali Kaab, University of Tehran, Iran

🌱 Dr. Ali Kaab holds a Ph.D. in Agricultural Mechanization Engineering – Energy from the University of Tehran (2021-2024) 🎓, specializing in photovoltaic applications in agriculture ☀️🚜. He earned his M.Sc. (2016-2018) and B.Sc. (2012-2016) in the same field, excelling in energy optimization and environmental impact assessment 🌍⚡. Dr. Kaab’s research focuses on renewable energy, bioenergy, climate change, and waste management 🔋🌾. He has published in top-tier journals 📚, contributed to book chapters 📖, and received multiple academic honors 🏅. Fluent in Arabic, Persian, and English 🌍, he’s skilled in data analysis tools like Simapro and Matlab 💻.

Publication Profile

Google Scholar

Education

Dr. Ali Kaab holds a Ph.D. in Agricultural Mechanization Engineering – Energy from the University of Tehran (2021-2024) 🎓, with an excellent GPA of 17.74/20. His dissertation focused on the application of photovoltaic panels in agricultural farms, emphasizing technical, economic, and environmental aspects 🌱🔋. He earned his M.Sc. in the same field from the University of Tehran (2016-2018), specializing in energy management and environmental impact assessment of sugarcane production 🌾⚡. Dr. Kaab completed his B.Sc. at Ramin Agriculture and Natural Resources University of Khuzestan (2012-2016) 🌍, showcasing a strong academic background in agricultural mechanization 🚜.

Experience

Dr. Ali Kaab has diverse work experience, including serving as a contractor for tractor sprayers at Imam Khomeini Sugarcane Company Industry in Khuzestan, Iran (2016-2018) 🚜🌱. He then worked as an expert at the Educational and Research Farm, College of Agriculture and Natural Resources, University of Tehran, Karaj (2018-2020) 🎓🌾. Dr. Kaab is multilingual, with Arabic as his mother tongue and proficiency in Persian and English 🗣️🌍. His strong computer skills include Microsoft Office, Mendeley, Simapro, EMS, SPSS, and MATLAB 💻📊, showcasing his technical expertise in agricultural research and data analysis.

Research Interests

Dr. Ali Kaab is an expert in Agriculture 🌱, specializing in Biosystems Sustainability Evaluation 🌍 and Bioenergy ⚡. His research focuses on addressing Climate Change 🌡️ through Environmental Impact Assessment 📊 and promoting Energy Saving, Optimization, and Modelling ⚙️. Passionate about Renewable Energy 🌞 and Waste Management ♻️, Dr. Kaab aims to develop sustainable solutions that enhance agricultural productivity while minimizing environmental harm. His innovative work bridges the gap between eco-friendly practices and technological advancements, contributing to a greener, more resilient future 🌿.

Research Focus

Dr. Ali Kaab’s research focuses on sustainable agriculture 🌱, energy efficiency ⚡, and environmental impact assessment 🌍. He specializes in applying Life Cycle Assessment (LCA) 🔄 and artificial intelligence 🤖 to optimize energy use and minimize environmental damages in crop production, including sugarcane 🌾, wheat 🌾, and horticultural crops 🍎. His work integrates optimization techniques 📊, exergoenvironmental analysis ♻️, and waste management strategies 🚮 to enhance economic and environmental sustainability. Dr. Kaab’s studies contribute to advancing eco-friendly agricultural practices 🚜 and promoting sustainable food production systems 🍽️ globally.

Honors & Awards

Dr. Ali Kaab’s research focuses on agricultural mechanization and machinery optimization 🚜🌾. His work aims to enhance machine efficiency, reduce energy consumption, and improve sustainable farming practices 🌱⚙️. With a strong background in agricultural machinery, he explores advanced mechanization techniques, precision agriculture, and technology integration in farming systems 📊🔍. His interest extends to improving productivity through innovative machinery design and automation 🤖🚀. Ranked among the top in academic competitions and studies, Dr. Kaab’s expertise bridges the gap between traditional agriculture and modern mechanization for better resource management and environmental sustainability 🌍💡.

Presentations

Dr. Ali Kaab’s research focuses on renewable energy, environmental protection, and sustainable agricultural technologies 🌱⚡. His work explores the role of renewable energy in reducing non-renewable consumption, environmental assessments using Life Cycle Assessment (LCA) 📊, and the impact of green technologies on agriculture 🚜. He has presented at national and international conferences, covering topics like ethanol production from sugarcane molasses 🍃 and non-operating defense in agriculture. His interest in modern mechanization and energy conservation reflects a commitment to eco-friendly innovations 🌍, blending agricultural science with advanced energy solutions for a sustainable future. 🌿🔋

Research Focus

Dr. Ali Kaab’s research focuses on sustainable agriculture and environmental impact assessment 🌱🌍. He integrates Life Cycle Assessment (LCA) with artificial intelligence 🤖 to predict energy output, optimize resource efficiency, and reduce environmental impacts in crop production, especially sugarcane and wheat 🌾. His work also explores energy efficiency, exergoenvironmental damage, and waste management 🔋♻️, using advanced modeling techniques for economic and environmental sustainability 📊. Dr. Kaab’s studies provide critical insights into improving agricultural productivity while minimizing ecological footprints, promoting eco-friendly farming practices for a greener future 🌿💡.

Publication Top Notes

Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production

Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production

Application of life cycle analysis to assess environmental sustainability of wheat cultivation in the west of Iran

Exergoenvironmental damages assessment of horticultural crops using ReCiPe2016 and cumulative exergy demand frameworks

A comparative of modeling techniques and life cycle assessment for prediction of output energy, economic profit, and global warming potential for wheat farms

Life cycle assessment (LCA) approach to evaluate different waste management opportunities

Evaluating the energy use, economic and environmental sustainability for smoked fish production from life cycle assessment point of view (case study: Guilan Province, Iran)