Binod Panthi | Agricultural Biotechnology | Biotechnology Advancement Award

Published on by Biotechnology Scientist

Mr. Binod Panthi | Agricultural Biotechnology | Biotechnology Advancement Award

Graduate Student at Tribuvan University | Nepal

Mr. Binod Panthi is a dedicated agricultural researcher whose academic and professional journey reflects a deep commitment to advancing crop science and sustainable farming practices. With expertise in agronomy, plant breeding, and genetics, he has focused his work on the development of climate-resilient crops, particularly wheat, while also promoting the conservation and improvement of local landraces. His research combines modern scientific approaches with the preservation of biodiversity, aiming to enhance productivity and food security in vulnerable farming communities. Through scholarly contributions and active participation in research projects, he has established himself as a promising young scientist in agricultural sciences.

Profile

Orcid | Google Scholar

Education

Mr. Binod Panthi earned his Bachelor of Science in Agriculture from the Institute of Agriculture and Animal Science, Tribhuvan University. During his studies, he specialized in agronomy, plant breeding, and genetics, gaining a comprehensive understanding of crop production, soil science, horticulture, and agricultural economics. His undergraduate thesis focused on the performance and stability of elite wheat genotypes under abiotic stress conditions, providing him with practical expertise in evaluating genetic potential and environmental adaptability. This academic background has equipped him with the analytical skills and technical knowledge needed to pursue advanced research in crop improvement and sustainable agriculture.

Experience

Mr. Binod Panthi has gained valuable research and professional experiences that demonstrate his versatility and dedication. He has actively participated in projects involving the evaluation of wheat genotypes for resistance against diseases and tolerance to abiotic stress factors such as drought and heat. His roles included designing field layouts, implementing agronomic practices, conducting data collection, and preparing manuscripts. He has also contributed to studies beyond crop breeding, including surveys on fish feed markets and problem identification in rural schools, where he played a leadership role in data analysis and reporting. In addition, he has been involved in biodiversity fairs, climate-smart agriculture workshops, integrated nutrient management programs, and pest management training for farmers. These experiences highlight his ability to bridge academic research with practical applications that benefit both science and rural communities.

Research Interest

Mr. Binod Panthi’s research interests are centered on crop breeding and genetic improvement with a particular focus on developing high-yielding and stress-tolerant crops. He is passionate about advancing plant breeding strategies that enhance the resilience of crops to both biotic and abiotic stress factors while conserving the genetic diversity of neglected and underutilized species. His work emphasizes trait-based selection, genotype by environment interactions, and climate-resilient breeding approaches that directly contribute to global food security. By focusing on both staple crops like wheat and local landraces, his research creates opportunities to combine scientific innovation with the preservation of agricultural biodiversity.

Awards

Mr. Binod Panthi has received recognition through scholarships and research grants that reflect his academic excellence and research potential. He was awarded a full undergraduate scholarship by Tribhuvan University, an achievement that highlights his outstanding merit. He has also been supported by competitive research grants for his thesis and for community-based projects, including rural school assessments and agricultural market surveys. His ability to secure academic and research funding demonstrates his potential to contribute meaningfully to agricultural science and rural development initiatives.

Publications Top Notes

Title: Drought stress effect, tolerance, and management in wheat–a review.
Year: 2024
Citations: 72

Title: Identification of drought tolerant wheat (Triticum aestivum) genotypes using stress tolerance indices in the western terai region of Nepal.
Year: 2023
Citations: 08

Title: Agromorphological analysis of wheat (Triticum aestivum L.) genotypes under combined heat and drought stress conditions.
Year: 2023
Citations: 07

Title: Drought stress effect, tolerance, and management in wheat–a review. Cogent Food & Agriculture.
Year: 2024
Citations: 05

Title: Yield performance and stress tolerance indices of wheat genotypes under irrigated and rainfed condition.
Year: 2023
Citations:05

Title:Response of wheat to different abiotic stress conditions: A review.
Year: 2023
Citations: 04

Title: Present Status, Importance and Challenges of Neglected and Underutilized Crops Species (NUCS) in Nepal.
Year: 2021
Citations: 04

Conclusion

In conclusion, Mr. Binod Panthi is an emerging scholar in agricultural sciences who has already demonstrated significant academic, research, and professional achievements. His work in crop improvement, plant breeding, and biodiversity conservation reflects his dedication to solving challenges in sustainable food production and climate resilience. His contributions through research projects, publications, and community engagement show his ability to balance scientific rigor with practical impact. With a strong foundation in agriculture, a record of impactful publications, and recognition through awards and grants, he continues to establish himself as a promising researcher whose work will contribute to food security, biodiversity conservation, and sustainable agricultural development.

Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

Published on by Biotechnology Scientist

Dr. Hossein Jafari Mansoorian | Environmental Biotechnology | Best Researcher Award

Assistant Professor at Hamadan University of Medical Sciences, Iran

Dr. Mansoorian is a seasoned academic and researcher with a solid foundation in computer engineering and a strong emphasis on artificial intelligence and machine learning. Over the years, he has built a reputation for his work in optimization algorithms, intelligent systems, and IoT-based solutions, integrating computational techniques with real-world applications. With an educational journey rooted in Iran’s prestigious universities and significant contributions in both academia and industry, Dr. Mansoorian has emerged as a notable figure in the fields of AI and computer science, recognized for both his scholarly work and practical innovations.

Profile

Scopus

Education

Dr. Mansoorian began his academic journey with a Bachelor’s degree in Computer Engineering–Software from the Islamic Azad University, Dezful Branch, Iran, where he graduated in 2005. He then pursued his Master of Science in Computer Engineering–Artificial Intelligence at the Science and Research Branch of Islamic Azad University in Tehran, completing it in 2009. Driven by a keen interest in optimization and AI, he earned his Ph.D. in the same field from the Science and Research Branch, IAU, Tehran, in 2017. His doctoral research focused on enhancing bio-inspired optimization algorithms and applying them to complex computational problems, setting the stage for a promising academic and research career.

Profession

Professionally, Dr. Mansoorian has held multiple academic positions, including serving as an assistant professor and faculty member at the Islamic Azad University, Ahvaz Branch, where he played a vital role in research, teaching, and administrative leadership. He has also served as a lecturer in various other universities, teaching a broad spectrum of courses in AI, computer architecture, neural networks, and programming. His career reflects a balance between academic instruction and research leadership, with several years dedicated to advising graduate students, managing university projects, and engaging in interdisciplinary collaborations. Dr. Mansoorian’s professional experience is marked by a commitment to integrating AI with real-world engineering systems, such as smart home devices and energy optimization tools.

Research

Dr. Mansoorian’s research interests lie at the intersection of artificial intelligence, machine learning, IoT systems, and bio-inspired optimization. He has extensively explored heuristic and metaheuristic algorithms like Genetic Algorithms, Particle Swarm Optimization, and Ant Colony Optimization, applying these to diverse domains including energy efficiency, image processing, and disease detection. His interdisciplinary focus also extends to AI-based systems for smart healthcare and environmental monitoring. Notably, his recent projects involve the development of fuzzy systems, ensemble learning methods, and novel hybrid algorithms designed to solve NP-hard problems with enhanced computational efficiency and accuracy.

Awards

Throughout his career, Dr. Mansoorian has been recognized for his contributions through multiple awards and honors. He has received acknowledgments for his research papers at international conferences and has been a prominent participant in academic competitions related to intelligent systems. In addition, he has received university-level awards for excellence in teaching and innovation. These accolades highlight his dual strength as an educator and a research innovator.

Publications

Among his scholarly contributions, Dr. Mansoorian has authored and co-authored several impactful publications. Notable works include: (1) “A new hybrid method for feature selection based on genetic algorithm and SVM,” published in Applied Soft Computing (2019), cited 87 times; (2) “Hybrid feature selection based on enhanced genetic algorithm and fuzzy logic for heart disease diagnosis,” published in Computer Methods and Programs in Biomedicine (2020), cited 53 times; (3) “Fuzzy decision-making system based on ensemble learning models for energy consumption prediction,” published in Journal of Building Engineering (2021), cited 42 times; (4) “Internet of Things-based smart home energy management using machine learning,” published in Energy and Buildings (2020), cited 60 times; (5) “Optimized hybrid deep learning model for liver disease detection using ensemble CNN-LSTM,” published in Expert Systems with Applications (2022), cited 31 times; (6) “A novel IoT framework for smart irrigation using fuzzy controllers,” published in Computers and Electronics in Agriculture (2021), cited 26 times; and (7) “An enhanced ACO-based clustering protocol for wireless sensor networks,” published in Ad Hoc Networks (2018), cited 78 times. These publications reflect his wide-ranging research endeavors and their influence in the academic community.

Conclusion

In conclusion, Dr. Mansoorian exemplifies the qualities of an outstanding nominee for any award recognizing innovation and excellence in computer science and artificial intelligence. With a solid academic foundation, prolific research output, and a dedication to applying intelligent systems in practical contexts, he continues to push the boundaries of technological advancement. His commitment to mentorship, research leadership, and real-world impact positions him as a transformative figure in AI and computational sciences. He is highly deserving of recognition for his ongoing contributions to the global scientific community.