Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

Mr Muhamad Safuan Shamshol Bahri, Malaysia Institute of Transport, MITRANS, Universiti Teknologi MARA, Shah Alam, Malaysia

Dr. Muhamad Safuan Shamshol Bahri is a distinguished researcher in transport and logistics, specializing in sustainable port operations 🌿⚓. Currently pursuing his PhD at Universiti Teknologi MARA (UiTM), he has made significant contributions to environmental sustainability in maritime logistics. His expertise lies in performance measurement, green port policies, and decision-making frameworks 📊🌍. A lecturer and former quality engineer, he has received multiple gold awards for his research on intelligent decision-making in ports 🥇🔬. As an active member of TAM and MSORSM, Dr. Bahri continues to shape the future of sustainable maritime operations through impactful research, innovation, and industry collaboration 🚢💡.

Publication Profile

Google Scholar

Education

Mr. Muhamad Safuan Shamshol Bahri is a dedicated researcher pursuing a Doctor of Philosophy (PhD) in Transport and Logistics at Universiti Teknologi MARA, Shah Alam (2022 – Present) 📚⚙️. He previously earned a Master of Science (MSc) in Logistics and Transportation from the same university (2021 – 2022) 🎓✅, graduating on time. His academic journey began with a Bachelor of Naval Architecture and Offshore Engineering (Hons.) from Universiti Teknologi Malaysia, Skudai (2015 – 2019) ⛵, where he achieved a commendable CGPA of 3.42/4.00. His expertise lies in maritime engineering, logistics, and transportation, contributing to advancements in these fields. 🚢📦

Experience

Mr. Muhamad Safuan Shamshol Bahri is an experienced educator and engineer with a strong background in maritime business, logistics, and quality management. As a Lecturer at Peninsula College (Northern) in Georgetown (2021-2022) 📖, he taught maritime business and logistics management 🚢, designed curricula, and guided student projects 📚. Previously, he worked as a Quality Engineer at JTEKT Automotive Malaysia Sdn Bhd (2019-2021) 🏭, ensuring product compliance with customer specifications 📋. His role involved conducting root cause failure analysis ⚙️, implementing preventive measures, and managing inspection reports and quality documentation ✅. His expertise bridges both academia and industry, contributing to innovation and excellence.

Awards & Honors

Mr. Muhamad Safuan Shamshol Bahri has demonstrated excellence in maritime logistics and sustainable port innovation through multiple prestigious awards. He earned the Gold Award for An Ingenious Priority Determination for Sustainable Port (AI_DSP) at IBMVIC 2024 🏅 and the Bronze Medal for the same project at IIDEX 2024 🥉. His expertise was further recognized with two Gold Awards 🥇 for An Intelligent MCDM Performance Measurement for Maritime Logistics (IMPerMAL) at VMIIE 2022 and the 4th Virtual International Breakthrough IID Exhibition 2022. His contributions continue to enhance decision-making and performance measurement in the maritime industry. 🚢⚓

Research Interest

Muhamad Safuan Shamshol Bahri is a dedicated researcher specializing in Management Science and Operations Research, with a focus on performance measurement and Data Envelopment Analysis (DEA) 📊📈. His expertise extends to Multicriteria Decision Making (MCDM), where he applies advanced analytical methods to optimize decision-making processes 🤖⚙️. With a strong academic and research background, he contributes to the development of innovative frameworks that enhance efficiency and effectiveness in various industries 🏢💡. His work plays a crucial role in improving decision support systems, ensuring that organizations can achieve optimal performance through data-driven strategies 📉✅.

Research Focus

Dr. Muhamad Safuan Shamshol Bahri’s research focuses on environmental sustainability in port operations ⚓🌱. He specializes in green port performance measurement, developing MCDM-based decision-making models, and integrating sustainable practices in logistics 📊🔍. His work also explores regulatory frameworks and governance for eco-friendly port operations, utilizing methodologies like Data Envelopment Analysis (DEA) and Intuitionistic Fuzzy AHP 🌍📈. Through his studies, he contributes to optimizing operational efficiency while minimizing environmental impact, advancing sustainability in maritime logistics 🌊💡.

Publication Top Notes

A tri-level AHP approach for port logistics personnel performance evaluation

Comparative analysis on decision criteria for port personnel using hybrid Analytical Hierarchy Process (H-AHP)

Evaluating cost-efficient queue priorities for berth allocation via simulation

Comparative Analysis On Port Personnel Selection Using Hybrid Analytical Hierarchy Process (h-AHP)

Use of Monte Carlo simulation for hybrid multicriteria decision making approaches

Sustainable port operations and environmental initiatives in Malaysia: A focus on environmental sustainability

Evaluating Priorities of Environmentally Sustainable Port Performance Using an Intuitionistic Fuzzy Analytical Hierarchy Process Approach

A Hybrid Multicriteria Decision-Making Model for Environmentally Sustainable Port

 

 

 

 

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

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.

Publication top notes

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing platform

Deep convolutional neural network for complex wetland classification using optical remote sensing imagery

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada

A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: a comparative evaluation

 

Saeed Rasekhi | Environmental Science | Best Researcher Award

Saeed Rasekhi | Environmental Science | Best Researcher Award

Mr Saeed Rasekhi, Universidad de Valladolid, Spain

Based on Mr. Saeed Rasekhi’s extensive and diverse achievements, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Research Expertise and Publications

Mr. Rasekhi has demonstrated considerable expertise in multiple areas of research. His Ph.D. research at Universidad de Valladolid focuses on Atmospheric Physics, showcasing his depth in analyzing urban heat islands and pollution. His publications in reputable journals like Sustainable Cities and Society and Urban Climate Journal highlight his contributions to environmental science and urban climate studies. The topics he addresses, such as urban heat islands and air pollution trends, reflect his ability to conduct impactful research with real-world applications.

Skills and Technological Proficiency

He possesses a robust set of skills in programming and data analysis with proficiency in tools like Python, Matlab, and various machine learning frameworks (PyTorch, Keras). His expertise extends to mathematical modeling, which is crucial for understanding complex systems in physics and engineering. His experience in utilizing advanced simulation and analysis tools like Aspen and PROOSIS further underscores his technical capabilities.

Educational Background

His educational background is solid, with a Ph.D. in Applied Physics and previous degrees in Physics and Civil Engineering. This diverse academic foundation equips him with a broad perspective and the ability to integrate knowledge across disciplines.

Teaching and Research Experience

Mr. Rasekhi’s teaching experience includes courses in Project Management and Computational Physics, demonstrating his ability to convey complex concepts. His involvement in research projects, particularly those funded by the European Union, and his role as a research assistant at the University of Valladolid, highlight his active engagement in advancing scientific knowledge.

Certificates and Professional Development

He has earned several certificates in relevant areas such as Deep Learning, Machine Learning, and Google Analytics, showcasing his commitment to continuous learning and staying current with technological advancements.

Conference Participation

His participation in international conferences and workshops, such as ECAS 2023 and the 7th Meeting on Planetary Sciences, indicates his active involvement in the global research community and his dedication to disseminating his work and learning from peers.

Conclusion

Overall, Mr. Saeed Rasekhi’s comprehensive research experience, technical skills, educational background, and active participation in the scientific community position him as a highly deserving candidate for the Best Researcher Award. His ability to contribute to and advance knowledge in environmental science, data analysis, and machine learning aligns well with the criteria for this accolade.

Publication top notes

The London pollution island under Lamb weather types

Trend and the Cycle of Fluctuations and Statistical Distribution of Temperature of Berlin, Germany, in the Period 1995–2012

Assessing the Trends of Three Main Air Pollutants in Tehran City Using Data from Sentinel-5

 

 

Ana Maria Antão-Geraldes | Environmental Hypotheses | Best Researcher Award

Ana Maria Antão-Geraldes | Environmental Hypotheses | Best Researcher Award

Prof Dr Ana Maria Antão-Geraldes, IPB/CIMO, Portugal

Based on the extensive academic background and professional accomplishments, Prof. Dr. Ana Maria Antão-Geraldes is a strong candidate for the Research for Best Researcher Award.

Publication profile

Orcid

Academic Background

Prof. Dr. Ana Maria Antão-Geraldes holds a Ph.D. in Biology (Ecology/Biosystematics) from the University of Lisbon (2004), a Master’s in Animal Diversity Conservation (1996), and a Bachelor’s in Biology – Faunistic Resources and Environment (1991). She has also completed various postgraduate courses in relevant fields, demonstrating a commitment to continuous learning.

Scientific Publications

Prof. Dr. Ana Maria Antão-Geraldes has contributed significantly to scientific literature, with multiple articles published in indexed journals. Her work spans topics such as sustainability, freshwater ecology, and water conservation, with notable publications in prominent journals like Sustainability and Applied Sciences.

Technical Publications and Contributions

She has authored and co-authored several technical publications, contributing to environmental impact assessments and regional planning in Portugal. Her involvement in technical assessments for national projects further showcases her expertise in ecological studies.

Moderation of Scientific Events

Prof. Dr. Ana Maria Antão-Geraldes has moderated numerous scientific events, including conferences and panel discussions on biodiversity, resource crises, and sustainable development. Her active participation in these events highlights her leadership and expertise in the field.

Editorial Contributions

She is a member of the editorial board of Gaia Scientia and has served as a topic editor for Applied Sciences. Her role as a guest editor for special issues on water conservation and freshwater ecology further emphasizes her impact on the scientific community.

Scientific Article Review

Prof. Dr. Ana Maria Antão-Geraldes has reviewed articles for several prestigious journals, including Applied Sciences, Frontiers in Environmental Science, and Sustainability. Her involvement in the peer-review process reflects her deep understanding and influence in her field.

Participation in Contracted or Protocol Actions

Her research involvement in various contracted projects, including ecological characterization surveys and water management protocols, demonstrates her applied research capabilities and collaboration with industry and government bodies.

Teaching Experience

With over 26 years of teaching experience, Prof. Dr. Ana Maria Antão-Geraldes has taught 33 different curricular units, ranging from plant physiology to environmental biology. Her extensive teaching portfolio indicates her dedication to educating the next generation of scientists.

In conclusion, Prof. Dr. Ana Maria Antão-Geraldes’ comprehensive academic background, prolific research output, significant editorial roles, and extensive teaching experience make her a highly deserving candidate for the Research for Best Researcher Award.

Publication top notes

Towards Sustainable Water Use in Two University Student Residences: A Case Study

Technical and Financial Feasibility Analysis of Rainwater Harvesting Using Conventional or Green Roofs in an Industrial Building

Plastic debris in lakes and reservoirs

Influence of Green Roofs on the Design of a Public Stormwater Drainage System: A Case Study

Promoting Water Efficiency in a Municipal Market Building: A Case Study

Frontiers in Freshwater Ecology, Conservation and Water Treatment Technologies

 

 

Niguse Hagazi | Environmental Science | Best Researcher Award

Niguse Hagazi | Environmental Science | Best Researcher Award

Mr Niguse Hagazi, World Agroforestry, ICRAF, /Friedrich-Alexander-University Erlangen-Nuremberg, Ethiopia

🌍 Niguse Hagazi is a leading researcher and Ethiopian Country Director at ICRAF Ethiopia, with a PhD candidacy at Friedrich-Alexander University Erlangen-Nuremberg, Germany. With over 15 years of experience in forestry, agroforestry, and natural resource management, Niguse has significantly contributed to Ethiopia’s environmental strategies, including the National Drylands Restoration Strategy. His expertise spans landscape restoration, climate-smart agriculture, and green job creation. He’s authored over 30 publications and actively engages in international conferences and professional societies. Niguse’s work focuses on sustainable development and conservation in urban-rural settings. 🌱📚

Publication profile

Orcid

Experience

Niguse Hagazi is a dedicated researcher at ICRAF Ethiopia Office and a PhD candidate at Friedrich-Alexander University Erlangen-Nuremberg, Germany. With over 15 years of experience, he leads as the Ethiopian Country Director, focusing on forestry, agroforestry, and natural resources management. Niguse plays a pivotal role in developing national strategies, such as the Ethiopian National Drylands Restoration Strategy, and in managing projects related to landscape restoration, green job creation, and climate-smart agriculture 🌍🌱. He’s also a trainer and consultant, providing expertise and capacity development to a wide range of stakeholders. His extensive publications span peer-reviewed journals, books, and manuals 📚🌿.

Academic Qualifications

Currently a PhD Candidate at the Institute of Geography, Friedrich-Alexander University (FAU) Erlangen-Nuremberg, Germany 🌍. Holds a Master’s degree in Tropical Land Resources Management from Mekelle University, Ethiopia (2008) 🌿. Completed a Bachelor of Science in Forestry Sciences at Wendo-Genet College of Forestry, Hawassa University (2002) 🌳. Passionate about sustainable land management and environmental conservation, with a solid academic background in forestry and tropical land resources. Dedicated to advancing knowledge and research in the field of geography and environmental sciences. 🌱📚

Research focus

The research focus of Niguse Hagazi and his team, including Mulat Kebede, Mulugeta Mokria, Emiru Birhane, Aster Gebrekirstos, and Achim Bräuning, revolves around biomass estimation in restored landscapes. Their 2023 study published in Environmental Research Communications explores methods for accurately estimating biomass of Acacia saligna trees. This research is crucial for understanding and managing ecological restoration efforts, enhancing carbon sequestration strategies, and assessing the effectiveness of reforestation projects. Their work contributes to sustainable land management and forest ecology, providing valuable insights into biomass dynamics in restored ecosystems. 🌳📊🌍

Publication top notes

Biomass estimation models for Acacia saligna trees in restored landscapes