Lili Dong | Soil | Best Researcher Award

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Assoc. Prof. Dr. Lili Dong | Soil | Best Researcher Award

Assoc. Prof. Dr. Lili Dong, Shenyang Agricultural University, China

Assoc. Prof. Dr. Lili Dong is a researcher at Shenyang Agricultural University, China, specializing in ecology, biogeochemical cycles, and soil carbon dynamics. She holds a Ph.D. in Ecology from Northeast Forestry University and has conducted extensive research on litter decomposition, soil respiration, and the effects of nitrogen deposition on ecosystems. With experience as a research assistant at the Institute of Applied Ecology, Chinese Academy of Sciences, she has led and contributed to multiple national and international research projects. Dr. Dong has received prestigious awards, including the Liang Xi Youth Science and Technology Award, and has published widely in high-impact journals on ecological processes and environmental sustainability.

Profile

Scopus

Summary:

Dr. Lili Dong is a highly accomplished researcher in ecological sciences with a strong publication record, competitive research funding, and international collaborations. Her work has significantly contributed to understanding soil carbon dynamics, nitrogen deposition, and ecosystem processes. She has received prestigious awards and recognition for her research excellence, making her a strong candidate for the Best Researcher Award.

 

🎓 Education

Lili Dong obtained her Bachelor’s degree in Information Engineering from Xinyang Normal University (2004–2008). She then pursued a Master’s degree in Phytochemistry at Northeast Forestry University (2009–2012) and later completed her Ph.D. in Ecology at the same university (2014–2017).

💼Experience

Since July 2017, Lili Dong has been a Postdoctoral Researcher at the Institute of Applied Ecology, Chinese Academy of Sciences. In September 2019, she was appointed as a Research Assistant at the same institute. She also gained overseas experience in 2019 through a research stay at the University of Minnesota.

🔬Research Focus

Her research primarily revolves around the carbon cycle, biogeochemical processes, litter decomposition, soil respiration, and ecological responses to global change. She is particularly interested in the effects of nitrogen deposition, especially organic nitrogen, on ecological processes and soil carbon pools. Her studies involve long-term field experiments in grasslands and forests in China, exploring the impact of different forms of nitrogen on litter decomposition and ecosystem functions. Additionally, she investigates the relationship between forest evolution and species secondary metabolites.

Awards

She has received several prestigious awards, including the Liang Xi Youth Science and Technology Award (Second Prize, 2019), the Science and Technology Award of Heilongjiang Province (Third Prize, 2018), and the First Prize of the Science and Technology Award of Provincial University (2018). She was also recognized with the Outstanding Master’s Thesis Award and Outstanding Graduate Award from Heilongjiang Province and Northeast Forestry University in 2012.

Skills

Lili Dong is skilled in ecological research, soil and litter decomposition analysis, biogeochemical assessments, data interpretation, and scientific communication. She has extensive experience in field experiments, laboratory techniques, and interdisciplinary collaborations within environmental sciences.

Publications

 

  • Title: Deep return of straw improves topsoil health and maize productivity more efficiently than shallow return
    Authors: J. Li, X.X. Jin, J. Li, L. Dong, H. Zou
    Year: 2024
    Journal: Soil Use and Management

 

  • Title: Patterns and controlling factors of decomposition in distal shoot systems by branch order across 10 temperate tree species
    Authors: W. Gu, B. Berg, L. Dong, F.J. Yang, T. Sun
    Year: 2024
    Journal: Plant and Soil

 

Conclusion:

 Dr. Lili Dong is a highly suitable candidate for the Best Researcher Award. Enhancing her leadership in large-scale projects, mentoring activities, and policy-oriented research could further strengthen her profile. However, her current track record already places her among top researchers in her field.

Md. Ashikur Rahman Khan | Soil Morphology | Best Researcher Award

Published on by Soil Scientist

Prof. Md. Ashikur Rahman Khan | Soil Morphology | Best Researcher Award

Prof. Md. Ashikur Rahman Khan, Noakhali Science and Technology University, Bangladesh

Prof. Md. Ashikur Rahman Khan is a Professor and Chairman of the Department of Information and Communication Engineering at Noakhali Science and Technology University, Bangladesh. He holds a Ph.D. in Mechanical Engineering from Universiti Malaysia Pahang and has over 23 years of experience in academia and research. His expertise includes Artificial Neural Networks, Artificial Intelligence Techniques, Machine Learning, Advanced Machining, Renewable Energy, and Refrigeration and Air-Conditioning. He has received multiple awards, including a Bronze Medal at the Creation, Innovation, Technology & Research Exposition 2012 and a Best Poster Presentation Award at NCMER 2010. Prof. Khan continues to contribute to cutting-edge research and innovation in engineering and technology.

Profile

Scopus

Summary:

Prof. Md. Ashikur Rahman Khan has made significant contributions to machine learning applications in diverse fields, including education, agriculture, cybersecurity, health, and sports analytics. His research is well-documented in SCOPUS and Q1/Q2 journals, demonstrating a commitment to high-quality academic output. While his work is impactful, areas such as citations, grant funding, mentorship, and industry collaborations could be strengthened to further solidify his standing.

 

🎓 Education

Dr. Mohammad Ashikur Rahman Khan holds a Ph.D. in Mechanical Engineering from Universiti Malaysia Pahang, Malaysia, where he completed his research from 2009 to 2012. He earned his M.Sc. in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) between 2000 and 2004. His academic journey began with a B.Sc. in Mechanical Engineering from Rajshahi University of Engineering and Technology (RUET), Bangladesh, where he studied from 1993 to 1998.

 

💼Experience

With over 23 years of experience in academia and engineering, Dr. Khan has contributed significantly to research and education. He is currently serving as a Professor (Grade 2) and Chairman of the Department of Information and Communication Engineering at Noakhali Science and Technology University (NSTU), Bangladesh, a position he has held since October 2021. Before this, he was a Professor at NSTU from 2017 to 2021 and previously worked as an Associate Professor from 2013 to 2017. His journey at NSTU began as an Assistant Professor in 2008, following his tenure as a Lecturer from 2006 to 2008. Earlier in his career, he worked as an Assistant Engineer at the Inspection and Testing Directorate of the Rural Electrification Board (REB) in Dhaka from 2001 to 2006. During his Ph.D. studies, he also served as a Teaching Assistant and Research Assistant at Universiti Malaysia Pahang from 2009 to 2012.

 

🔬Research Focus

Dr. Khan specializes in Artificial Neural Networks, Artificial Intelligence Techniques, Machine Learning, Advanced Machining, Renewable Energy, and Refrigeration and Air-Conditioning. His research contributions have advanced the fields of optimization modeling, pattern recognition, and intelligent modeling for engineering applications. His work has practical implications in enhancing machining processes, improving energy efficiency, and developing innovative techniques in mechanical engineering.

 

Awards

Dr. Khan has received several prestigious awards and honors throughout his academic and professional career. He was awarded a Bronze Medal at the Creation, Innovation, Technology & Research Exposition 2012 at Universiti Malaysia Pahang for his work on hybrid intelligent modeling in pattern recognition. He also received the Best Poster Presentation Award at the National Conference in Mechanical Engineering for Research & Postgraduate Studies (NCMER 2010) for his optimization modeling of copper electrodes in electrical discharge machining (EDM). He was a recipient of the Doctoral Fellowship at Universiti Malaysia Pahang from 2009 to 2011. His academic excellence was recognized with multiple Merit Awards and Technical Scholarships during his B.Sc. studies at RUET for three consecutive years. Additionally, he was honored with the Brilliance Award by the Welfare Association of Tahsilder, Bangladesh, in 1998.

 

Skills

Dr. Mohammad Ashikur Rahman Khan possesses extensive expertise in Artificial Neural Networks, Artificial Intelligence Techniques, and Machine Learning, applying these advanced computational methods to optimize engineering processes. His proficiency in Advanced Machining enables him to enhance material processing techniques, particularly in Electrical Discharge Machining (EDM) and other precision manufacturing technologies. His research also extends to Renewable Energy, where he focuses on sustainable energy solutions and their integration into industrial applications. With in-depth knowledge of Refrigeration and Air-Conditioning systems, he explores innovative ways to improve energy efficiency and system performance. His multidisciplinary skill set allows him to contribute significantly to engineering research, technology development, and academic leadership.

Publications

  • Title: Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
    Authors: S.H. Hemal, M.A. Khan, I. Ahammad, M.A.S. Khan, S. Ejaz
    Year: 2024
    Citations: 0

 

  • Title: Soil classification and crop cultivation prediction: a comparative study of machine learning models
    Authors: F. Rahman, M.A. Khan, Z. Tasneem
    Year: 2024
    Citations: 0

 

  • Title: A Hybrid PSO-GA Technique for Optimized Decision Tree to Enhanced Soil Classification and Predicting Crop Cultivation based on Soil Class to Ascertain Precise Agriculture
    Authors: F. Rahman, M.A. Khan, M. Alam
    Year: 2025

 

  • Title: Comparative analysis of potato blight diseases BARI-72 and BARI-73 using a simplified convolutional neural network method
    Authors: M.A. Khan, J. Akther, F. Rahman
    Year: 2024

 

  • Title: Perceived Factors Analysis for Depression and Suicidal Ideation among Bangladeshi University Students Using Association Algorithm
    Authors: M.M. Alam, M.S. Ejaz, M.K. Hasan, M.A. Khan
    Year: 2023

 

  • Title: Cricket Players Selection for National Team and Franchise League using Machine Learning Algorithms
    Authors: M. Robel, M.A. Khan, I. Ahammad, M.M. Alam, K. Hasan
    Year: 2024

 

  • Title: Prediction of Impacts and Outbreak of Covid-19 on the Society Using Distinct Machine Learning Algorithms
    Authors: T.T. Chaity, M.A. Khan, F. Rahman
    Year: 2024

 

  • Title: RSA and AES Based Hybrid Encryption Technique for Enhancing Data Security in Cloud Computing
    Authors: R. Akter, M.A. Khan, F. Rahman, S.J. Soheli, N.J. Suha
    Year: 2023

Conclusion:

Prof. Md. Ashikur Rahman Khan is a strong contender for the Best Researcher Award due to his wide-ranging research, publication record, and innovative use of machine learning. However, improving research visibility, securing research funding, and mentoring graduate students could elevate his academic profile further. If he addresses these areas, his potential for recognition in the research community will increase significantly.