Wagd Ajeeb | Energy and Sustainability | Excellence in Research Award

Wagd Ajeeb | Energy and Sustainability | Excellence in Research Award

Dr Wagd Ajeeb, IST Tecnico Lisbon University, Portugal

Dr. Wagd Ajeeb 🎓⚙️ is a mechanical engineer specializing in energy systems and climate change. He earned his Ph.D. from Aveiro University, Portugal (2019), focusing on nanofluids in micro heat exchangers. With experience at IST Lisbon, the University of Padua, and IDMEC, he has contributed to cutting-edge projects on green hydrogen, synthetic biofuels, and thermal management. His research includes high-impact publications on nanofluids and renewable energy 🌱🔬. A member of leading R&D centers, he actively participates in scientific conferences and innovation forums. Passionate about sustainable energy, Dr. Ajeeb advances technologies for a cleaner future 🌍⚡.

Publication Profile

Google Scholar

Education

Dr. Wagd Ajeeb 🎓 is a specialist in Energy Systems and Climate Change with a Ph.D. in Mechanical Engineering from Aveiro University, Portugal (2015-2019) 🌍🔥. His thesis focused on convective heat transfer of non-Newtonian nanofluids in micro heat exchangers. He earned his M.Sc. in Thermal Machine Engineering from Tishreen University, Syria (2012-2015) ⚡💧, researching hydropower plant design at the 16-Tishreen Dam. His B.Sc. in Mechanical Engineering from Albaath University (2007-2012) 🌬️🔧 explored wind energy potential in Syria. With strong expertise in renewable energy and thermal systems, he contributes to advancing sustainable engineering solutions. ⚙️💡

Employment

Dr. Wagd Ajeeb is a dedicated mechanical engineer and researcher at the Centre for Innovation, Technology, and Policy Research (IN+), IST Lisbon University, Portugal (2023–2024) 🔬⚙️. He collaborates with PRIO on the M-ECO2 project, focusing on green hydrogen and synthetic biofuels 🌿🔋. Previously, he worked at the University of Padua, Italy (2022–2023), researching fouling mitigation in heat exchangers with Hexxcell Ltd ❄️💧. His expertise spans nanofluids for advanced cooling (IST Lisbon, 2020–2022) and CFD simulations for Bosch’s Smart Green Homes project (University of Aveiro, 2019–2020) 🏡⚡. A member of the Syrian Engineers Syndicate, he also worked on renewable energy and power systems in Syria (2013–2015) ⚡🌍.

Research Focus

Dr. Wagd Ajeeb 🔬⚡ specializes in renewable energy, hydrogen production, and nanofluids for thermal applications. His research spans life cycle assessments of green hydrogen and renewable diesel 🌱🔋, published in high-impact Q1 journals. He investigates hydrogen production via alkaline electrolysis and its sustainability implications 🔄⚡. Additionally, he explores nanofluid properties, enhancing heat transfer efficiency in compact heat exchangers ❄️🔥. His work includes experimental and numerical studies on Al₂O₃ and TiO₂ nanofluids, optimizing thermal management solutions. Dr. Ajeeb’s contributions drive advancements in sustainable energy and innovative thermal technologies for a greener future 🌍🚀.

Awards

Dr. Wagd Ajeeb has been recognized for outstanding research contributions with prestigious awards 🌟. He received the Best Paper Award at the 8th World Congress on Momentum, Heat and Mass Transfer (MHMT 2023) in Lisbon, Portugal 🇵🇹, showcasing his excellence in scientific innovation. His achievements continued in July 2024, when he was honored with the Best Research Presentation Award at the 9th International Conference on Green Energy Technologies (ICGET 2024) in Berlin, Germany 🇩🇪. These accolades highlight his dedication to advancing research in energy and heat transfer, reinforcing his impact in the scientific community 🔬🏆.

Association Member

Dr. Wagd Ajeeb is a researcher at the Center for Innovation, Technology and Policy Research (IN+) at Instituto Superior Técnico (IST), University of Lisbon 🇵🇹. He is also affiliated with the Mechanical Engineering Institute (IDMEC) at IST and the Centre for Mechanical Technology and Automation (TEMA) at the University of Aveiro ⚙️🔬. His research contributions extend to R&D teams of FCT, including the Laboratório de Robótica e Sistemas de Engenharia (Jun 2020–Aug 2021) 🤖 and the Laboratório Associado de Energia, Transportes e Aeronáutica (July 2021–2023) ✈️⚡. His work focuses on advanced mechanical engineering and automation 🚀.

Scientific Activities

Dr. Wagd Ajeeb is an accomplished researcher in energy and fluid mechanics, actively contributing to international conferences and forums. 🌍⚡ He participated in the LARSyS 2024 Meeting and Be Next | Europe’s Decentralized Energy Innovation Forum in Lisbon. 🇵🇹🔋 In 2023, he attended the Eurogas Annual Conference, the IN+ 25 Years of Innovation event, and chaired a session at the 8th World Congress on Momentum, Heat, and Mass Transfer. 🎤📊 He has lectured at Lisbon University, Edinburgh Napier University, and Tishreen University. 🎓🔥 His expertise spans renewable energy, thermal fluids, and nanofluids, making significant contributions to global energy sustainability. 🌱💡

Publication Top Notes

Experimental investigation of heat transfer performance of Al2O3 nanofluids in a compact plate heat exchanger

Nanofluids in compact heat exchangers for thermal applications: A State-of-the-art review

Forced convection heat transfer of non-Newtonian MWCNTs nanofluids in microchannels under laminar flow

Performance evaluation of convective heat transfer and laminar flow of non-Newtonian MWCNTs in a circular tube

Experimental and numerical study of convective heat transfer and laminar flow of a MWCNTs nanofluid in a horizontal tube

Life cycle assessment of green hydrogen production through electrolysis: A literature review

Zeyang Wei | Environmental Science | Best Researcher Award

Zeyang Wei | Environmental Science | Best Researcher Award

Dr Zeyang Wei, Tsinghua University, China

Dr. Zeyang Wei 🎓🌱 is a Ph.D. candidate at Tsinghua University’s School of Environment (2020-2025), specializing in environmental impact assessment, agent-based modeling, and environmental zoning management. He holds a Bachelor’s degree from Renmin University of China in Agricultural Economics & Rural Development 🌍📊. His research explores industrial restructuring, pollution reduction, and carbon mitigation, with publications in top journals. He has presented at international conferences 🌏🎤 and serves as a teaching assistant. Recognized with the Tsinghua University Comprehensive Scholarship 🏆, he contributes significantly to environmental science through modeling and policy analysis. 📑🔬

Publication Profile

Scopus

Education

Dr. Zeyang Wei 🎓 is a Ph.D. candidate at Tsinghua University, Beijing (2020-2025), specializing in environmental impact assessment, agent-based modeling for industries, and environmental zoning management 🌍📊. Under the guidance of Prof. Yi Liu, he explores sustainable industrial strategies. He earned his bachelor’s degree from Renmin University of China (2016-2020) in Agricultural Economics & Rural Development 🌾📈. His undergraduate thesis focused on the environmental and economic assessment of industrial investment transfer from Beijing to the BTH region. Passionate about sustainable development, Dr. Wei integrates economic and environmental perspectives to drive impactful research for a greener future 🌱🏭.

Experience

Dr. Zeyang Wei has led multiple research projects focusing on environmental noise, computing, and pollution control 🌱📊. From October 2020 to June 2021, he analyzed community responses to environmental noise, applying statistical analysis 📉. In mid-2021, he explored environmental computing, summarizing its development and applications 🖥️📄. Between December 2021 and June 2023, he researched pollution reduction and carbon mitigation strategies across industries 🌍⚡. His Ph.D. thesis (2021–present) involves developing an agent-based model to assess industrial firms’ environmental impacts under integrated zoning policies 🏭🔬. His expertise spans industry analysis, research methodology, and academic writing ✍️📚.

Research Focus

Z. Wei’s research focuses on environmental regulation 🌍📜, industrial restructuring 🏭🔄, and computational environmental science 💻🌱. Their work explores the effectiveness of China’s integrated environmental zoning in reshaping industries, agent-based modeling for environmental studies, and the evolution of environmental computing. They also examine how emission permit regulations impact local industries and how social noise perception influences mitigation behavior. By integrating policy analysis, computational modeling, and environmental impact assessment, Wei contributes to sustainable development and environmental management. Their interdisciplinary approach bridges environmental science, industrial policy, and digital innovation for greener and more efficient industries. 🔬📊🌏

Presentation

Dr. Zeyang Wei’s research focuses on environmental economics 🌍📊, particularly the impact of discharge permits on the economic and emission performance of industrial firms 🏭💰. Using an agent-based modeling approach 🤖📈, his work explores how regulatory policies influence pollution control and sustainable industrial development. By integrating economic analysis with environmental assessment, he aims to optimize strategies for balancing economic growth and environmental responsibility ⚖️🌱. His findings provide insights for policy-makers and industry leaders to enhance eco-friendly practices while maintaining profitability. His expertise lies at the intersection of industrial sustainability, environmental policy, and economic modeling 🔬📉.

Achievements & Academic Service

Dr. Zeyang Wei is affiliated with the Faculty of Resources and Environmental Science at Hubei University in Wuhan, China. His research focuses on remote sensing and image analysis, particularly in areas such as attribute profiles, convolutional neural networks (CNNs), and crop classification. His work aims to enhance the accuracy of image classification and improve the understanding of crop characteristics through advanced image processing techniques.

Publication Top Notes

Does the China’s integrated environmental zoning regulation serve an effective approach for industrial restructuring?

Conclusion

Dr. Zeyang Wei is a distinguished researcher known for his excellence in academia, pioneering innovative modeling techniques, and making significant contributions to his field 🏆📊. His groundbreaking research has advanced knowledge and inspired new methodologies in scientific studies 🔬📖. With a strong commitment to innovation and academic excellence, Dr. Wei has consistently demonstrated a remarkable ability to solve complex problems and push the boundaries of research 🚀💡. His dedication and outstanding achievements make him an ideal candidate for the Best Researcher Award 🏅👏. His work continues to influence and shape the future of research and development. 🌍🔍

 

Ali Kaab | Agricultural Science and Innovation | Best Researcher Award

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)

 

 

 

 

Liming Ge | Environmental Science | Best Researcher Award

Liming Ge | Environmental Science | Best Researcher Award

Assist. Prof. Dr Liming Ge, Shanghai Jiaotong University, China

Liming Ge is a dedicated PhD candidate at Shanghai University of Finance and Economics, following a Master’s from the University of Shanghai for Science and Technology, where he ranked first in his major with a GPA of 3.8/4.0. His research focuses on low carbon development, highlighted in papers published in prominent journals. Liming has earned several academic honors, including national scholarships and multiple prizes in competitions related to energy economics and mathematical modeling. He actively participated in a significant National Social Science Foundation project, utilizing advanced data analysis techniques. 🌱📊🎓

Publication profile

Scopus

Education

Pursuing excellence in academia, the individual completed a Master’s degree at the University of Shanghai for Science and Technology from September 2017 to July 2020, achieving a remarkable GPA of 3.8/4.0 and ranking first in their major. They received prestigious accolades, including the National Scholarship and the First-level Scholarship of the School. Currently a PhD candidate at Shanghai University of Finance and Economics (2020-2024), they maintain a GPA of 3.45/4.0 and were honored as an Outstanding Graduate of Shanghai and an Outstanding Student Leader at their previous university. 🎓🌟🏆

Honors

In 2021, He was honored with the Special Prize at the Seventh National College Students Competition on Energy Economics and secured the Third Prize at the Seventh National Academic Conference for Postgraduates in Economics. In 2019, He achieved the Third Prize in both the Fifth National College Students Competition on Energy Economics and the Ninth MathorCup College Mathematical Modeling Competition. My accolades also include the Second Prize at the Sixteenth “Challenge Cup” College Students Extracurricular Academic Technology Works Competition and the “SAIC Education Cup” in 2018. He received several Third Prizes in various mathematical modeling competitions, showcasing my dedication and talent in these fields! 🏆📊✨

Academic Conferences

In 2021, several notable academic events showcased emerging research in economics across China. The Third China Regional Economist Scholars Forum and the Third China Development Economics Preface Academic Symposium were held in Shanghai and Beijing, respectively, fostering discussions on regional and developmental economic issues. Additionally, the Third Jintai Young Scholars Forum and the Third China Energy Environment and Climate Change Economists Forum facilitated dialogues on industrial economics and environmental challenges. Other significant gatherings included the Seventh Annual Academic Conference of Graduate Students in Economics and the Green and Low Carbon Development Seminar. The Camphor Economics “Cloud Seminar” also contributed to this vibrant academic landscape. 📊🌍✨

Projects

In 2021, He participated in a Major Project of the National Social Science Foundation of China focused on promoting green development in energy supply and consumption. He contributed to the chapter on industrial cohesion effects and governance, utilizing Matlab, Stata, and ArcGIS for data analysis and empirical investigations. Additionally, He worked on the Humanities and Social Sciences Climbing Foundation project at the University of Shanghai, analyzing total factor energy productivity across Chinese cities. In 2018, Her helped compile a monograph on the sustainable development of resource-based cities, and in 2017, He wrote two papers for a project on smog control and economic transformation. 🌱📊✍️

Research focus

Based on the provided articles, Ge, L.’s research focuses on the intersection of environmental sustainability and economic development, particularly in urban contexts. Key themes include green technology innovation, the role of government governance in fostering sustainable cities, and the impact of foreign direct investment on environmental outcomes. Ge’s work examines how policy frameworks and corporate practices affect green initiatives, exploring aspects like tax incentives, corporate governance, and low-carbon development strategies. This multidisciplinary approach highlights the importance of integrating economic policies with environmental goals to promote sustainable urban transformations. 🌍💡📈

Publication top notes

The role of digital infrastructure construction on green city transformation: Does government governance matters?

The Impact of Foreign Direct Investment on Green Technology Innovation: Evidence from the Threshold Effect of Absorptive Capacity

 

 

 

 

Minseok Ryu | Energy and Sustainability | Best Researcher Award

Minseok Ryu | Energy and Sustainability | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor at Arizona State University’s School of Computing and Augmented Intelligence since August 2023 👨‍🏫. He earned his Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2020 🎓. His research focuses on optimization and machine learning applications in power systems and privacy-preserving federated learning 🔍⚡. Dr. Ryu has held positions at Argonne National Laboratory and Los Alamos National Laboratory 🏢. He has received numerous awards, including the 2024 Alliance Fellowship at Mayo Clinic and ASU and multiple research highlights from the DOE-ASCR 🌟.

Publication profile

google scholar

Education

Minseok Ryu holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, which he completed in May 2020 🎓. Before that, he earned an M.S. in Aerospace Engineering from KAIST, Daejeon, Korea, in February 2014 🚀. His academic journey began with a B.S. in Aerospace Engineering from KAIST, which he obtained in February 2012 ✈️.

Employment

Minseok Ryu is currently an Assistant Professor at the School of Computing and Augmented Intelligence at Arizona State University in Tempe, AZ (Aug 2023–present) 📚. Previously, he was a Postdoctoral Appointee at the Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL (Aug 2020–Jul 2023) 🔬. He also worked as a Research Assistant with the Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM (May 2019–Aug 2019) 🧪. Additionally, he served as a Post Baccalaureate Research Fellow at the Kellogg School of Management, Northwestern University, Evanston, IL (Nov 2014–Apr 2015) 🎓.

Honors & Awards

Minseok Ryu has achieved numerous accolades throughout his career. In 2024, he was honored as an Alliance Fellow by the Mayo Clinic and ASU Alliance for Health Care and participated in the Faculty Summer Residency program. His research was highlighted by the Department of Energy’s Advanced Scientific Computing Research (DOE-ASCR) in both 2023 and 2022. Ryu received the Rackham Graduate Student Research Grant in 2016 and multiple fellowships from the University of Michigan in 2015. Additionally, he earned the National Science Foundation Student Award from INFORMS Computing Society. Earlier, he received the National Scholarship from the Korean government (2010-2013) and accolades from KAIST, including the Department Honor and Best Technical Poster Award in 2010. 🎓🔬📊

Presentations

Minseok Ryu has made significant contributions to various fields, presenting his research at numerous esteemed conferences. His work includes heuristic algorithms for geomagnetically induced current blocking devices (Paris, June 2024) 🌍⚡, generating columns (Phoenix, Oct 2023) 📝, and differentially private algorithms for constrained federated learning (Seattle and Amsterdam, 2023) 🔒🤖. He has also focused on privacy-preserving federated learning frameworks (Arlington, Aug 2022; Virtual, June 2022) 🛡️📡. Additionally, he has explored optimal power flow control, transmission expansion planning, and robust optimization in healthcare staffing across various platforms including INFORMS, SIAM, and international symposiums 🌐🧑‍⚕️

Research focus

Minseok Ryu’s research primarily focuses on data-driven optimization and privacy-preserving techniques, particularly in federated learning and power systems. His work spans several areas, including robust optimization under uncertainty, privacy-preserving distributed control, and federated learning frameworks. Key applications include improving nurse staffing models, optimizing electric grids against geomagnetic disturbances, and developing secure frameworks for federated learning in biomedical research. Ryu’s contributions are significant in ensuring privacy and robustness in distributed systems and optimization problems. 🧠🔒💡🔋👩‍⚕️

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

Atena Mirbolook | Environmental Science | Best Researcher Award

Atena Mirbolook | Environmental Science | Best Researcher Award

Dr Atena Mirbolook, Urmia University, Iran

Dr. Atena Mirbolook is a distinguished soil scientist with a Ph.D. in Soil Chemistry and Fertility from Urmia University (2014-2020) 🌱. She also holds an M.S. and B.S. in Agriculture Engineering – Soil Science from Ferdowsi University of Mashhad 🌾. As a lecturer at Payame Noor University and an educational expert at Ferdowsi University, she has made significant contributions to soil science research. Her work focuses on innovative fertilizers to enhance nutrient uptake and crop yields. Dr. Mirbolook has published extensively, with notable research on slow-release fertilizers and nutrient efficiency 📚. She is an active member of the Iranian Soil Science Association 🌐.

Publication profile

google scholar

Education

I hold a Ph.D. in Soil Chemistry and Fertility from Urmia University, where I was the top graduate in 2020 🏆. Prior to this, I earned my M.S. in Agricultural Engineering with a focus on Soil Science from Ferdowsi University in Mashhad, graduating as the second top student in 2006 🥈. My academic journey began with a B.S. in Agricultural Engineering, also from Ferdowsi University, where I graduated as the second top student in 2003 🌱. My educational background has provided me with a strong foundation in soil science and agricultural engineering.

Experience

As a lecturer at Payame Noor University in Mashhad, Iran, I bring a wealth of expertise in educational practices, supported by my role as an educational expert at Ferdowsi University. My involvement with the Iranian Soil Science Association underscores my dedication to advancing environmental knowledge. Additionally, as a research and development expert at Song of Soil & Sun Fajr Parsian Company, I actively contribute to innovative initiatives in agriculture and environmental sustainability. 🌱 My career path reflects a commitment to education, research, and practical application, aimed at fostering a deeper understanding of soil science and its implications for our environment.

Research focus

Dr. A. Mirbolook’s research primarily focuses on enhancing nutrient uptake efficiency in plants through innovative fertilization strategies. 🌱 His work spans the synthesis and application of chelates such as Zn-amino acid and -chitosan complexes to improve zinc uptake in beans and wheat. Additionally, he explores the fortification of bread wheat with micronutrients like zinc and iron through organic complexes, highlighting their efficacy compared to traditional forms like ZnSO4. 🍞 His studies contribute significantly to agricultural sustainability by investigating novel slow-release fertilizers and their impact on crop growth, nutrient concentrations, and yield, addressing critical issues in modern farming practices.

Publication top notes

Synthesized Zn(II)-Amino Acid and -Chitosan Chelates to Increase Zn Uptake by Bean (Phaseolus vulgaris) Plants

Fortification of Bread Wheat Using Synthesized Zn-Glycine and Zn-Alanine Chelates in Comparison with ZnSO4 in a Calcareous Soil

Effects of chromium on enzymatic/nonenzymatic antioxidants and oxidant levels of Portulaca oleracea L.

Phytoremediation of Cr+ 6 in contaminated soil using Portulaca oleracea

Effect of a new slow-release zinc fertilizer based on carbon dots on the zinc concentration, growth indices, and yield in wheat (Triticum aestivum)

Fortification of bread wheat with iron through soil and foliar application of iron-organic-complexes

Comparison of chemical, physical characteristics and maturity of produced vermicompost from cow manure treated with sugar beet molasses, aeration and soil

The effect of different concentrations of nano-molybdenum and calcium fertilizers on growth parameters and nodulation of Chickpea (Cicer arietinum L.)

Synthesis and characterization of the Schiff base Fe (II) complex as a new iron source in nutrient solution

New Slow-Release Urea Fertilizer Fortified with Zinc for Improving Zinc Availability and Nitrogen Use Efficiency in Maize

Effect of Iron Chelates and their Application Methods on Iron Nutrition Status of Bean Plant (Phaseolus vulgaris) in a Calcareous Soil