Assoc. Prof. Dr Arash Javanshir khoei, University of Tehran, Iran

Assoc. Prof. Dr. Arash Javanshir Khoei is a distinguished marine biologist and ecologist 🌊🐚 with a Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6 (1999) 🇫🇷. His research focuses on parasitology, heavy metal toxicity, aquatic ecology, and environmental sustainability 🌱🔬. With over three decades of academic and research experience, he has significantly contributed to understanding aquatic ecosystems, pollution effects, and species population dynamics. As a faculty member at the University of Tehran since 2005, he has mentored numerous students and led groundbreaking projects on water purification, microplastics, and sustainable aquaculture 🏞️🐟. His numerous inventions, including water filtration systems and fish food manure, have earned him multiple national awards 🏅. Dr. Khoei has authored impactful publications in high-ranking journals, advancing knowledge in marine science and environmental protection 📚🔍. His expertise and contributions make him a top candidate for the Best Researcher Award.

Publication Profile

Google Scholar

Education

Dr. Arash Javanshir Khoei has an extensive academic background in marine sciences and environmental research 🌍. He earned his Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6, France (1999) 🇫🇷, where he studied the effects of Digenetic Trematodes on bivalve mollusks in Arcachon Bay 🦠🐚. His M.Sc. in Biological Oceanography (1995) from the same university focused on marine ecosystem dynamics. He completed his B.Sc. in Fisheries and Environment at the University of Tehran (1986) 🇮🇷, laying the foundation for his career in aquatic ecology. His academic journey has been marked by pioneering research in parasitology, water pollution, and marine biodiversity. His expertise spans limnology, fish behavior, and aquatic plant ecosystems, making significant contributions to environmental sustainability 🌿💧. Through interdisciplinary research, Dr. Khoei continues to push the boundaries of marine biology, enhancing the scientific community’s understanding of aquatic environments.

Experience

Dr. Arash Javanshir Khoei has over 30 years of experience in academia and research 🌍🔬. He is currently an Associate Professor at the University of Tehran (2012–present) 🇮🇷, where he teaches courses in oceanography, marine ecology, and environmental science 📖. He previously served as an Assistant Professor at the same university (2005–2012), shaping the next generation of marine scientists 🎓. From 2001 to 2005, he led the Ecology Department at the Ecological Academy of the Caspian Sea, spearheading key environmental research projects 🌱🌊. His early career included roles as a researcher at the Marine Research Centre of the Caspian Sea (1989–1992), investigating marine biodiversity and water quality. With numerous national and international projects, Dr. Khoei has significantly contributed to marine conservation, aquaculture, and pollution control efforts 🏞️🐠. His diverse expertise has led to groundbreaking discoveries in environmental sustainability, heavy metal toxicity, and microplastic pollution 🏆.

Awards & Honors

Dr. Arash Javanshir Khoei has received multiple prestigious awards for his outstanding contributions to marine science and environmental sustainability 🌍🏆. In 2015, he was recognized as a Superior Technology Creator by the Alborz Governorate and a Superior Researcher at the University of Tehran 🏅. His innovative ideas earned him the Superior Idea Award from the Semnan Governorate in 2018. He holds multiple patents, including Fish Food Manure (2013), Bit Trap Filter (2016), and a System for Absorbing Cyclic Compounds in Water (2018) 🔬💧. His research on sustainable water treatment, microplastic pollution, and aquaculture has attracted significant funding, including grants from Iran’s National Science Foundation 🇮🇷. With numerous scientific contributions and technology-driven solutions, Dr. Khoei has become a leading figure in environmental conservation and aquatic research. His relentless dedication to marine ecology makes him a top contender for prestigious research awards 🌊🐚.

Research Focus

Dr. Arash Javanshir Khoei’s research spans marine biology, aquatic ecology, and environmental toxicology 🌊🔬. His early work focused on the effects of Digenetic Trematodes on Bivalve Mollusks, revealing parasite-induced changes in cockle population dynamics 🦠🐚. He has extensively studied heavy metal toxicity in aquatic species, evaluating bioaccumulation and immunotoxic effects of pollutants like lead, mercury, and iron oxide nanoparticles 🌱⚗️. His research also addresses microplastic pollution in the Caspian Sea, emphasizing its impact on marine life 🌍🛑. He pioneered studies on water purification, developing innovative techniques for removing heavy metals, arsenic, and pesticides from aquatic environments 💧♻️. Dr. Khoei’s interdisciplinary research extends to sustainable aquaculture, marine ecosystem dynamics, and environmental biotechnology 🐟🌾. His work contributes to global efforts in pollution control, biodiversity conservation, and climate change mitigation, making him a leading expert in marine environmental science 🌿🌊.

Publication Top Notes

Investigating the effects of several parameters on the growth of Chlorella vulgaris using Taguchi’s experimental approach
Laboratory studies on egg and fecal pellet production of Centropages typicus: effect of age, effect of temperature, individual variability
Evaluation of potential immunotoxic effects of iron oxide nanoparticles (IONPs) on common carp (Cyprinus carpio)
Application of physical and biological methods to remove heavy metals, arsenic, and pesticides from water
Efficiency of chitosan for the removal of Pb (II), Fe (II), and Cu (II) ions from aqueous solutions
Assessment of heavy metals and their relationship with oxidative stress and immune parameters in aquatic species
Removal of Hg (II) and Cd (II) ions from aqueous solution using chitosan: kinetics and equilibrium studies
An investigation on the accumulation of heavy metals in Avicennia marina from the Persian Gulf
Evaluation of bivalve clearance rate (CR) as an indicator of heavy metal toxicity in Anodonta cygnea
Toxicity of titanium nano-oxide nanoparticles (TiO2) on the Pacific oyster, Crassostrea gigas

Zeyang Wei | Environmental Science | Best Researcher Award

Posted on 22/02/202522/02/2025 by ScienceFather

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. 🌍🔍

Bamidele Omotara | Chemistry and Materials Science | Excellence in Research Award

Posted on 16/10/202416/10/2024 by ScienceFather

Bamidele Omotara | Chemistry and Materials Science | Excellence in Research Award

Mr Bamidele Omotara, university of new haven, United States

Bamidele Omotara is an experienced chemist with a strong background in computational and analytical chemistry. He earned a Master of Science in Chemistry from the University of New Haven (2022-2023) and a Bachelor of Science in Chemistry from Ekiti State University, Nigeria (2010-2016) 🎓. Currently, he volunteers as a Computational Chemist at Bytewave Technologies, using molecular simulations for drug design and reaction modeling 🔬💊. He previously worked as a Quality Control Analyst at Peace Standard Pharmaceutical Industries (2019-2021), performing quality testing and analysis of pharmaceutical products, including injectable emulsions and stability studies ⚗️💉.

Publication profile

Scopus

Education

With a solid academic foundation in chemistry, I obtained my Master of Science from the University of New Haven, West Haven, CT, between January 2022 and December 2023 🧪🎓. This advanced degree built upon the knowledge and skills I acquired during my Bachelor of Science in Chemistry from Ekiti State University, Ado Ekiti, Nigeria, where I studied from January 2010 to January 2016 🧑‍🔬📚. These educational experiences have equipped me with a strong understanding of chemical principles, laboratory techniques, and research methodologies, preparing me for future endeavors in the field of chemistry 🌍🔬.

Experience

As a Computational Chemist at Bytewave Technologies Inc. (since May 2024), He employ simulations to identify protein-binding sites for new drug molecules and model synthesis reactions, exploring fundamental processes like superconductivity and energy storage. My expertise includes virtual screening, molecular docking, and dynamics for computational drug design 🧪🔬. Previously, I worked as a Quality Control Analyst at Peace Standard Pharmaceutical Industries (April 2019 – December 2021), where he performed quality testing, analyzed raw materials, and ensured batch execution for sterile injectables 💊. My work adhered to global pharmacopeial standards (USP-NF, EP, BP, JP), ensuring top-tier quality control 📈.

Research focus

A.U. Egbemhenghe’s research focuses on computational drug design and the identification of novel small molecules for cancer therapy. 🧬✨ Using techniques like virtual screening, molecular docking, and molecular dynamics simulations, their work targets key cancer-related proteins, such as p53-MDMX interaction and STK17B, to identify effective inhibitors for potential therapeutic use. 💊🔬 Egbemhenghe integrates bioinformatics and molecular modeling to enhance the precision of immuno-oncology compounds, like VISTA-inhibitors, aiming to develop novel treatments that improve cancer outcomes. 🌿🛡️ Their research lies at the intersection of computational biology and oncology drug development. 🖥️🧑‍⚕️

Publication top notes

Identification of novel immuno-oncology compounds as VISTA-inhibitors for cancer therapy: A computational approach integrating virtual screening and molecular dynamics simulation

Computational-based drug design of novel small molecules targeting p53-MDMX interaction

Identification of promising small-molecule inhibitors targeting STK17B for cancer therapeutics: molecular docking and molecular dynamics investigations

Conclusion

His innovative research in computational chemistry, particularly in drug design and cancer therapy, combined with his practical industry experience, Mr. Omotara has made significant strides in his field, making him an excellent candidate for the Excellence in Research Award.

Stanley Chibuzor Onwubu | Chemistry and Materials Science | Best Researcher Award

Posted on 09/10/202409/10/2024 by ScienceFather

Stanley Chibuzor Onwubu | Chemistry and Materials Science | Best Researcher Award

Dr Stanley Chibuzor, Onwubu Durban University of Technology, South Africa

Dr. Stanley Chibuzor Onwubu appears to be a highly suitable candidate for the Best Researcher Award.

Publication profile

Orcid

Education

Dr. Onwubu has a robust educational foundation in Dental Technology and related fields, culminating in a Postdoctoral Fellowship at Durban University of Technology (DUT). His educational milestones include:

Postdoctoral Fellowship in Chemistry (DUT, 2021-2022)
Doctor of Dental Technology (DUT, 2019)
MHSc (cum laude) in Dental Technology (DUT, 2016)
BTech in Dental Technology (FUTO, 2010)

Experience

Dr. Onwubu has a wealth of experience in research and academia:

Research Associate at DUT in Chemistry (2023-present)
Postdoctoral Research Fellow at DUT (2021-2022)
Research Moderator at DUT in Management Sciences (2020-present)
Research Assistance in the Faculty of Health Sciences (2020-2021)
Researcher in Dental Sciences at DUT (2014-2019)
Data Analysis Facilitator at both DUT and Mangosuthu University of Technology (2022-2023)

Research Interests

His research interests focus on:

Nanomaterials
Biocomposites and Biomaterials
Dental Abrasive Materials
Novel Waste Material Recycling

Conference Participation

Dr. Onwubu has actively participated in various conferences, presenting papers on innovative materials such as eggshells as dental abrasives and their effects on dental applications. Some notable presentations include:

Characterisation of Eggshells as a Dental Abrasive Material (2015)
Using Eggshell for the Development of a Quality Alternative Material (2015)
Investigation on the Effect of Linear Alkyl Benzene Sulfonate on the Thermal Stability and Solubility of Eggshell Powder (2016)

Awards and Scholarships

His dedication to research has been recognized through numerous awards and scholarships, such as:

Innovation Masters and Doctoral Scholarships (NRF Funding, 2016-2017)
Best Oral Presenter (Faculty of Health, DUT Research Day, 2015)
Top Published Doctoral Student (Faculty of Health Sciences, 2019 & Institutional, 2020)

Publications

Dr. Onwubu has contributed to several impactful publications, including:

Environmental Sustainability of Biowaste in Bioplastic Production (2024)
Cosmeceuticals from Marine: The Prospect of Marine Products in Skin Rejuvenation and Care (2024)
Provision of HIV Testing Services and Its Impact on the HIV Positivity Rate (2024)

Conclusion

Given Dr. Onwubu’s comprehensive qualifications, dedication to research, and significant contributions to his field, he is indeed a deserving candidate for the Best Researcher Award. His ability to bridge various disciplines, including dental technology and materials science, further exemplifies his impact on academic and practical applications within these domains.

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Posted on 27/09/202427/09/2024 by ScienceFather

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Dr Masoud Mahdianpari, Memorial University of Newfoundland/C-CORE, Canada

Based on the provided information, Dr. Masoud Mahdianpari is indeed a strong candidate for the Research for Research Hypothesis Excellence Award. His extensive educational background, professional experience, and contributions to the field of remote sensing and data science highlight his qualifications.

Publication profile

google scholar

Educational Background

Dr. Masoud Mahdianpari holds a Ph.D. in Electrical Engineering from Memorial University of Newfoundland (2015-2019), along with a Master’s in Remote Sensing Engineering and a Bachelor’s in Geomatics Engineering, both from the University of Tehran (2010-2013, 2006-2010). His robust academic foundation has equipped him with advanced knowledge in remote sensing and data analysis.

Professional Experience

Currently serving as a Cross-appointed Professor at Memorial University of Newfoundland and Remote Sensing Technical Lead at C-CORE, Ottawa, Dr. Mahdianpari has significant experience in applying machine learning and remote sensing technologies. His previous roles include Remote Sensing Scientist and Research Assistant at C-CORE, where he has developed expertise in image processing, feature extraction, and target detection.

Research Expertise

Dr. Mahdianpari specializes in machine learning, big data technologies, and radar remote sensing. His work encompasses high-resolution image processing, environmental monitoring, and GHG emission estimation. He is leading several projects focused on wetland mapping and methane emission estimation in the Arctic, leveraging advanced remote sensing data and cloud computing platforms.

Professional Appointments

As an associate editor for various journals, including IEEE Geoscience and Remote Sensing Letters and Frontiers in Environmental Science, Dr. Mahdianpari contributes to the academic community and promotes high-quality research. He is a member of several professional societies, such as IEEE and ASPRS, demonstrating his active engagement in the field.

Recent Honors and Awards

Dr. Mahdianpari has been recognized for his contributions to science, including being ranked in the top 1% of scientists worldwide (2023-2024) and receiving multiple awards for his research excellence. Notably, he has secured grants such as the NSERC Discovery Grant (2022-2027) and the Microsoft AI for Earth grant, highlighting his innovative work in environmental monitoring.

Project Leadership

Dr. Mahdianpari is currently leading the ESA Carbon Science Cluster project, aiming to enhance methane emission estimates from wetlands in the Arctic. This project underscores his leadership in addressing critical environmental challenges and advancing remote sensing methodologies.

Research Interests

His research focuses on environmental monitoring and wetland mapping using remote sensing data, emphasizing machine learning and multi-sensor image classification. Currently, he leads projects related to greenhouse gas (GHG) monitoring, showcasing his commitment to addressing pressing environmental issues.

Project Experience

He currently leads a project for the European Space Agency focused on improving methane emission estimates from wetlands, an initiative of significant environmental importance. This role emphasizes his leadership in research that impacts global environmental policies.

Publications and Presentations

Dr. Mahdianpari has authored numerous influential publications, including studies on remote sensing image classification and advanced machine learning applications in environmental monitoring. His research has contributed significantly to the field, evidenced by his citations and presentations at major international conferences.

Conference Contributions

He has presented at several prestigious conferences, showcasing his research on water quality monitoring and electrical potential preservation. His publications in leading journals further establish his reputation as a thought leader in remote sensing and environmental science.

Conclusion

In summary, Dr. Masoud Mahdianpari’s outstanding qualifications, research contributions, and recognition in the field make him a highly suitable candidate for the Research for Research Hypothesis Excellence Award. His dedication to advancing remote sensing technology and addressing pressing environmental issues through innovative research exemplifies excellence in academic and applied research.