Maryam Fazlollahi Mohammadi | Soil Ecology | Best Academic Researcher Award

Mrs. Maryam Fazlollahi Mohammadi | Soil Ecology | Best Academic Researcher Award

Mrs. Maryam Fazlollahi Mohammadi, South East Technological University, Ireland

Dr. Maryam Fazlollahi Mohammadi is a Forestry Lecturer at South East Technological University (SETU), Ireland. She holds a Ph.D. in Forestry from Tarbiat Modares University, Iran, where her research focused on the effects of topography on forest ecosystems, including soil and tree regeneration. With expertise in forest ecology, carbon modeling, and forest management, Dr. Fazlollahi Mohammadi has contributed to various research projects, including the Terrain-AI project, which aims to improve carbon flux estimates for climate mitigation. She has published several papers in top-tier journals and has collaborated with multiple academic and industry partners. At SETU, she teaches and supervises both undergraduate and postgraduate students, while also being involved in industry and research collaborations.

Profile

Scopus

Summary:

Mrs. Maryam Fazlollahi Mohammadi is an outstanding candidate for the Best Academic Researcher Award due to her exceptional contributions to forest ecology, her innovative research on the effects of topography on forest ecosystems, and her involvement in high-impact, collaborative projects like Terrain-AI. Her ability to blend academic excellence with practical applications, teaching, and mentoring makes her a strong asset to both the academic and broader environmental communities. Her research continues to influence forest management and conservation practices, with a focus on carbon modeling, soil management, and biodiversity.

🎓 Education

Chai Yanjun earned his PhD from the Institute of Agricultural Environment and Sustainable Development at the Chinese Academy of Agricultural Sciences. His academic background laid a strong foundation for his career in environmental engineering and sustainable agriculture.

💼Experience

After completing her Ph.D., Maryam worked as a lecturer at various Iranian universities, teaching modules on Ecology, Soil Fertility, Experimental Design, and Agriculture and Livestock Management. She also served as an occasional lecturer at University College Dublin (UCD) in the Forest Climate and Carbon course, where she prepared and delivered lectures, developed quizzes, graded exams, and mentored students. In 2021, Maryam started a postdoctoral position at UCD, working on the Terrain-AI project, which explores the impact of management and disturbances on forest carbon uptake. Since December 2022, she has been a Forestry Lecturer at South East Technological University (SETU), where she teaches at both undergraduate and postgraduate levels, supervises students, and organizes field trips and labs.

🔬Research Focus

Maryam’s research is centered around forest ecology, particularly the effects of topography on forest ecosystems. She has studied soil physical, chemical, and biological traits, forest regeneration, herbaceous species, and tree distribution. Her work in the Hyrcanian forests of Iran has significantly contributed to understanding species selection based on soil conditions and forest management practices. Currently, her postdoctoral research in the Terrain-AI project aims to improve carbon flux estimates across complex environments and develop more accurate climate mitigation strategies.

🛠️Skills

Maryam is proficient in a variety of software tools, including MS Office, ArcGIS, MATLAB, R, SPSS, and statistical analysis tools such as EndNote and GS+. She has also completed a project management course for postdocs and applies this knowledge to her current projects. Her communication, analytical, and organizational skills have been key to her academic success, including the completion of her degrees and the timely delivery of reports.

🏆Awards

Maryam received funding from the Ministry of Science and Technology of Iran to develop an international collaboration, which led her to work at the University of Torino, Italy, for six months during her Ph.D. Additionally, she has published six papers in prestigious journals like Scientific Reports, Nature, and Applied Soil Ecology Journal, with her most recent work focusing on forest soil characteristics and tree species distribution.

📚 Publications

Title: Topographic patterns of soil traits and macro fauna in oriental beech forests in Iran
Year: 2025
Authors: M. Fazlollahi Mohammadi, Maryam; B. Tobin, Brian; A. Kulmatiski, Andrew; S.G. Jalali, Seyed Gholamali; Y. Kooch, Yahya
Journal: Applied Soil Ecology

Conclusion:

Mrs. Maryam Fazlollahi Mohammadi’s academic journey and research accomplishments highlight her as a leader in the field of forestry. Her strengths in research excellence, collaboration, and education, combined with her ability to translate academic findings into practical solutions, make her an ideal candidate for the Best Academic Researcher Award. To further enhance her career, she could focus on broadening her research scope and increasing her visibility in public and policy circles, while continuing to make significant contributions to forest and environmental science.

Zhongfu Wang | Soil Biology | Best Researcher Award

Mr. Zhongfu Wang | Soil Biology | Best Researcher Award

Mr. Zhongfu Wang, Beihang University, China

Mr. Zhongfu Wang is a researcher at Beihang University, China, specializing in soil microbiology, astrobiology, and life support technology for space exploration. His work focuses on developing bioregenerative systems for sustainable plant growth in extraterrestrial environments, including the Moon and Mars. He has pioneered innovations in waste recycling and plant–microbe interactions using lunar soil simulants and contributes to space agriculture experiments aboard the China Space Station.

Profile

Orcid

Summary:

Mr. Zhongfu Wang stands out for his pioneering work at the intersection of soil science and space biology, offering real-world applications for future lunar and Martian habitats. His research aligns perfectly with global scientific goals surrounding space colonization, sustainability, and ecological engineering. Despite being in an earlier phase of his research career, the quality and ambition of his work are strong indicators of long-term impact and leadership in the field.

🎓 Education

Zhongfu Wang is a dedicated researcher at the Institute of Environmental Biology and Life Support Technology, School of Biological Science and Medical Engineering, Beihang University. His academic journey centers on soil microbiology and astrobiology, with specialized expertise in life support technologies for manned deep space exploration and lunar ecology. He combines foundational scientific knowledge with applied research to support sustainable living systems beyond Earth.

💼Experience

Wang’s research bridges the gap between terrestrial ecological science and extraterrestrial applications. He has led and contributed to several high-impact projects, including improving lunar soil simulants for plant cultivation through earthworm-mediated organic waste integration and microbial synergy. His work extends to the physiological responses of soil fauna under variable magnetic fields, bioremediation in simulated lunar gravity aboard the China Space Station, and microbial adaptation studies in near-space Mars analog environments.

🔬Research Focus

His primary research areas include soil microbiology, astrobiology, life support technologies for manned deep space missions, and lunar ecology. He is particularly known for developing ecological methods to convert lunar regolith into fertile media, integrating organic waste recycling with plant–microbe interactions for use in space habitats.

🛠️Skills

Wang’s skill set includes designing and executing complex biological experiments in space-simulated conditions. He has contributed a patent on an experimental method for exposing microorganisms in near-space environments and has published peer-reviewed work that showcases his innovative approach to soil improvement for extraterrestrial agriculture. His research continues to push boundaries in space biosciences and environmental engineering for long-term human spaceflight.

🏆Awards

Zhongfu Wang has been nominated for the Best Researcher Award by the International Soil Scientist Awards committee, recognizing his pioneering role in advancing space agriculture and bioregenerative life support systems.

📚 Publications

Title: Improving Lunar Soil Simulant for Plant Cultivation: Earthworm-Mediated Organic Waste Integration and Plant–Microbe Interactions
Authors: Zhongfu Wang
Year: 2025
Journal: Plants

Conclusion:

Mr. Zhongfu Wang is a highly suitable candidate for the Best Researcher Award. With continued support and recognition, he is poised to become a leading figure in space-agriculture and soil microbiome research for extraterrestrial environments.

Huan Zhang | Soil | Best Researcher Award

Prof. Dr. Huan Zhang | Soil | Best Researcher Award

Prof. Dr. Huan Zhang, Nanjing Normal University, China

Prof. Dr. Huan Zhang is an Associate Professor at the School of Marine Science and Engineering, Nanjing Normal University, China. He holds a Ph.D. in Physical Geography from Nanjing University and specializes in soil organic matter cycling, carbon sequestration, and land use change impacts. His research integrates multi-omics analysis, machine learning, and stable isotope techniques to investigate soil quality evolution and microbial regulation. With numerous publications in high-impact journals, he has significantly contributed to soil science. He was honored with the “Doctor of Entrepreneurship and Innovation” talent project in Jiangsu Province. His work advances sustainable soil management and ecosystem stability.

Profile

Scopus

Summary:

Prof. Dr. Huan Zhang’s research on soil carbon dynamics, microbial interactions, and land use change demonstrates outstanding scientific contributions. His work is methodologically innovative, well-published, and highly relevant to contemporary environmental issues. His interdisciplinary approach, combined with strong technical expertise, makes him a competitive candidate for the Best Researcher Award.

🎓 Education

Huan Zhang holds a Ph.D. in Physical Geography from Nanjing University, a Master’s degree in Soil Science from Nanjing Agricultural University, and a Bachelor’s degree in Agricultural Resources and Environments from Hebei Normal University of Science & Technology. His academic background has provided him with a strong foundation in soil science, environmental sustainability, and geographical studies.

💼Experience

Currently serving as an Associate Professor at the School of Marine Science and Engineering, Nanjing Normal University, Huan Zhang has previously worked as a Lecturer at the same institution. Before that, he was a Research Assistant at the School of Geography and Marine Sciences, Nanjing University. His professional journey has been dedicated to soil research, with a focus on soil quality evolution and organic matter cycling.

🔬Research Focus

Huan Zhang’s research primarily revolves around the mechanisms driving soil organic matter change. His work involves constructing soil time series to analyze the evolution of soil quality under varying land use intensities, employing machine learning for precise simulation of soil processes, and investigating microscale organic carbon turnover in environments affected by human activities. His studies contribute to understanding soil carbon storage, ecosystem stability, and the broader implications of land use on soil sustainability.

🛠️Skills

Huan Zhang possesses expertise in soil organic matter cycling, land use change impact assessment, and carbon sequestration mechanisms. His technical skills include machine learning applications for soil process modeling, multi-omics analysis for microbial community assessment, and stable isotope techniques for organic carbon studies. He is proficient in quantitative research methodologies and has a deep understanding of soil-microbe interactions.

🏆Awards

He was recognized under the “Doctor of Entrepreneurship and Innovation” talent project in Jiangsu Province in 2018, receiving a grant for his contributions to innovative soil science research.

📚 Publications

Title: Carbon dynamics and pathways in soil density fractions across different land-use types over 3000 years: Insights from 13C natural abundance.
Authors: Xu, M., Jiao, H., Zhang, Y., Zhang, H., & Gao, C.
Year: 2025
Journal: Catena

Title: Stoichiometry of carbon, nitrogen, and phosphorus in soil: Impacts of soil development and land use across the catchment scale.
Authors: Su, B., Gao, C., Zhang, H., Zhang, Y., & Jiao, H.
Year: 2025
Journal: Catena

Title: Bacterial and fungal diversity, community composition, functional groups, and co-occurrence network succession in dryland and paddy soils along a 3000-year chronosequence.
Authors: Jiao, H., Xu, M., Ji, J., Zhang, H., & Gao, C.
Year: 2025
Journal: Catena

Conclusion:

 Prof. Dr. Huan Zhang is well-suited for the Best Researcher Award. While further strengthening international collaborations and research leadership roles could enhance his profile, his existing work already makes a significant impact in soil science and environmental research. He is a strong contender for this recognition.

Runze Tian | Soil Science | Best Researcher Award

Dr. Runze Tian | Soil Science | Best Researcher Award

Dr. Runze Tian, Beijing jiaotong university, China

Dr. Runze Tian is a researcher at Beijing Jiaotong University, China, specializing in frozen soil mechanics, hydrothermal coupling simulations, and geotechnical engineering. His work focuses on developing advanced computational models, including the modified h-form hydrothermal coupling simulation method, to enhance the understanding of soil behavior in extreme conditions. Dr. Tian’s expertise includes numerical analysis, soil behavior modeling, and engineering simulations, contributing to advancements in geotechnical research.

Profile

Scopus

Summary:

Dr. Runze Tian has made significant strides in the field of frozen soil mechanics and hydrothermal coupling simulations. His research is well-recognized and has contributed to understanding soil behavior under extreme conditions. While his technical expertise and contributions are commendable, expanding research collaborations and industry applications could further solidify his reputation.

🎓 Education

Tian Runze is affiliated with Beijing Jiaotong University, located in Beijing, China. His academic background is rooted in engineering and geotechnical studies, focusing on frozen soil research and hydrothermal coupling simulation methods.

💼Experience

Tian Runze has been engaged in research and academic projects related to geotechnical engineering, frozen soil mechanics, and computational simulations. His expertise lies in developing and refining hydrothermal coupling simulation methods, particularly for frozen soil applications.

🔬Research Focus

His primary research interests include frozen soil mechanics, hydrothermal coupling simulations, geotechnical engineering, and computational modeling. His notable work on the “modified h-form hydrothermal coupling simulation method for frozen soil” demonstrates his commitment to advancing the understanding of soil behavior under extreme conditions.

🛠️Skills

His technical skill set includes hydrothermal simulation modeling, computational mechanics, numerical analysis, and soil behavior analysis. He is proficient in applying advanced engineering methodologies to improve the accuracy of frozen soil behavior predictions.

🏆Awards

Tian Runze has contributed to innovative research in frozen soil mechanics and hydrothermal simulation, which may have earned him recognition within academic and engineering communities. Specific awards or distinctions related to his work would highlight his contributions to the field.

📚 Publications

Title: A modified h-form hydrothermal coupling simulation method for frozen soil
Author(s): Tian, R., Li, X., Li, X., Wang, S., & Wang, Q.
Year: 2025
Journal: Computers and Geotechnics

Conclusion:

Dr. Runze Tian is a highly suitable candidate for the Best Researcher Award. With continued advancements in broader geotechnical fields and international collaborations, he can further enhance his contributions and strengthen his standing in the global research community.

Bernard Omomoh | Soil Science | Best Researcher Award

Mr. Bernard Omomoh | Soil Science | Best Researcher Award

Mr. Bernard Omomoh, Federal University of Technology, Nigeria

Bernard Omomoh is a researcher in Forestry and Wood Technology at the Federal University of Technology, Akure, Nigeria. His work focuses on forest ecology, biodiversity conservation, invasive species management, and ecosystem restoration. With extensive experience in plant taxonomy, herbarium management, and soil seed bank studies, he has contributed to multiple international research collaborations. He has received grants from institutions like Florida International University and IDEA WILD. Bernard is skilled in data analysis, ecological assessments, and forest measurement techniques, making significant contributions to sustainable forest management and conservation in Nigeria.

Profile

Scopus

Summary:

Mr. Bernard Omomoh is a strong candidate for the Best Researcher Award, given his expertise in forestry, biodiversity conservation, and ecosystem restoration. His extensive publication record, international collaborations, and field research experience make him a distinguished researcher in his field.

🎓 Education

Omomoh Bernard Eromosele holds a Higher National Diploma from the Federal College of Forestry, Ibadan, where he studied the effects of different provenances on Thaumatococcus daniellii. He obtained a Postgraduate Diploma from the Federal University of Technology, Akure, investigating altitudinal influences on plant diversity. His Master of Technology from the same university focused on species diversity and soil seed banks in different land-use types. He earned a Bachelor of Science from the Federal University, Oye-Ekiti, where he studied the impact of invasive species on native plant diversity. Additionally, he completed a certificate in Tropical Botany at Florida International University, gaining expertise in tropical plant taxonomy and laboratory techniques.

💼Experience

Omomoh is a researcher and laboratory technologist in Forestry and Wood Technology at the Federal University of Technology, Akure. His work includes supervising research on tree crop cultivation, nursery practices, and seed technology. He has significant teaching experience in silviculture, forest soil science, and plant taxonomy. Previously, he worked as a field and laboratory assistant at Obafemi Awolowo University, gaining expertise in plant identification and herbarium management. He also completed an internship at the University of Ibadan Botanical Garden. As a research assistant at the Centre for Research and Development, he has contributed to field experiments, plant identification, and grant-funded research.

🔬Research Focus

Omomoh’s research covers forest ecology, biodiversity conservation, invasive species management, soil seed banks, and ecosystem restoration. His work examines how land-use changes impact plant diversity and regeneration potential. He collaborates internationally on plant systematics, species adaptation, and conservation strategies, particularly in Nigeria’s forest ecosystems.

🛠️Skills

Omomoh is proficient in data science and statistical analysis, using R, ANOVA, regression, and data visualization tools like ggplot, Prism, and Origin. He has expertise in plant identification, forest measurement, and herbarium management. His technical skills include operating tree measurement instruments such as altimeters, clinometers, and GPS devices.

🏆Awards

He has received multiple research grants, including a $4,000 scholarship from Florida International University for tropical botany studies and a $1,500 IDEA WILD grant for research equipment. He was also awarded funding from Botanic Gardens Conservation International and the International Institute of Tropical Agriculture for conservation projects.

Publications

  • Soil seed bank dynamics of two invasive alien plants in Nigeria: Implications for ecosystem restoration. AoB PLANTS.
  • Authors: Akomolafe, G. F., Rusly, R. R., & Omomoh, B. E.
  • Year: 2024

Conclusion:

 Mr. Bernard Omomoh is highly suitable for the Best Researcher Award due to his significant research contributions in forestry, biodiversity conservation, and ecological restoration. His innovative studies on invasive species, extensive publication record, and international collaborations highlight his impact in the field. Additionally, his expertise in species diversity, soil seed banks, and ecological restoration further strengthens his candidacy. While his work is already influential, enhancing policy engagement and public outreach could further amplify his research impact and visibility.

Houda Oueriemmi | Soil Scientist | Best Researcher Award

 Dr. Houda Oueriemmi | Soil Scientist | Best Researcher Award

Dr. Houda Oueriemmi, Arid Region Institute, Tunisia

Dr. Houda Oueriemmi is a Postdoctoral Researcher at the Arid Region Institute of Medenine, Tunisia. Her research focuses on soil fertility, desertification control, and sustainable land management in arid and semi-arid regions. She holds a Ph.D. in Water and Earth Sciences from the Higher Institute of Water Sciences and Techniques of Gabès, specializing in organic soil amendments and their role in improving degraded soils. Dr. Oueriemmi has collaborated on international projects, including the European ISFERALDA initiative, and has published extensively on composted organic waste, biochar applications, and soil health.

Profile

Scopus

Summary:

Dr. Houda Oueriemmi has demonstrated remarkable expertise in soil fertility enhancement and sustainable land management, particularly in arid regions. Her work is internationally recognized, and she actively contributes to high-impact research projects. Her publications and collaborations underscore her scientific excellence. Strengthening her research impact through increased citations, mentorship, and funding acquisition could further elevate her standing in the global scientific community.

 

🎓 Education

Houda Oueriemmi holds a Ph.D. in Water and Earth Sciences from the Higher Institute of Water Sciences and Techniques of Gabès, completed in 2021 at the Laboratory of Eremology and Combating Desertification, Arid Regions Institute (IRA) of Médenine. She earned a Master’s degree in Geology of Sedimentary Basins in 2015 and another Master’s in Valorization of Geomaterials in 2012, both from the Faculty of Sciences of Gabès. She also obtained a Licence degree in Natural Sciences and Applications in 2010 from the same institution and completed her Scientific Baccalaureate at Ibn Roched High School, Zarzis, in 2007.

💼Experience

Currently, she is a Postdoctoral Researcher at the Arid Region Institute of Medenine, contributing to the European project ISFERALDA, which focuses on improving soil fertility in arid and semi-arid regions using local organic date palm residues. Her research experience includes multiple internships, notably at the Institute of Agrobiological Research of Galicia (IIAG-CSIC) in Spain in 2018 and 2019, under the supervision of Dr. Petra Susan Kidd, Dr. Ángeles Prieto-Fernández, and Dr. Carmen Trasar-Cepeda. She has also conducted extensive Ph.D. research at the Laboratory of Eremology and Combating Desertification at IRA Médenine and completed Master’s and technician internships at institutions such as ECUMED Petroleum, the Cement Company of Gabès, and COTUSAL of Zarzis.

🔬Research Focus

Her research primarily revolves around soil fertility, desertification control, organic soil amendments, and sustainable land management in arid and semi-arid regions. She has worked extensively on evaluating composted organic wastes, biochar applications, and farmyard manure to improve soil fertility in sandy and degraded lands.

Awards

Houda Oueriemmi has been actively involved in international collaborations and research projects, receiving recognition for her contributions to soil fertility improvement and sustainable agricultural practices in arid environments.

Skills

Her technical skills include proficiency in office software such as Microsoft Office (Word, Excel, PowerPoint) and remote sensing tools like ArcGIS and ArcView. She also has experience with CorelDRAW. She is multilingual, with fluency in Arabic and French, strong proficiency in English, and basic knowledge of German.

Publications

 

  • Publication: Assessment of Earthworm Viability and Soil Health after Two Years of Raw and Composted De-Inking Paper Sludge Amendment
    Journal: Agriculture (Switzerland)
    Authors: Rahma Inès Zoghlami, Wael Toukabri, Khaoula Boudabbous, Mohamed Moussa, Haithem Bahri, et al.
    Year: 2023

 

Conclusion:

Dr. Oueriemmi is a deserving candidate for a Best Researcher Award due to her valuable contributions to soil science and environmental sustainability. With continued efforts in research expansion, funding acquisition, and mentorship, she has the potential to become a leading figure in her field.

Lili Dong | Soil | Best Researcher Award

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

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.