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

Qinyu Ge | Environmental Hypotheses | Best Researcher Award

Prof Qinyu Ge, Southeast University, China

Prof. Qinyu Ge 🎓🔬 earned his Ph.D. in Biomedical Engineering from Southeast University in 2006. As a dedicated researcher at Southeast University, his work focuses on sample treatment and library preparation for high-throughput DNA sequencing 🧬, including spatial transcriptomics and whole-genome methylation studies. His expertise extends to designing DNA microarrays for cell-free nucleic acid, methylation, and DNA polymorphism detection 🧪. Prof. Ge has published extensively on topics like environmental DNA integrity, non-invasive embryo biomarkers, single-cell analysis, and deep learning in genomics 🤖📊, contributing significantly to biomedical research advancements globally 🌍.

Education

Prof. Qinyu Ge 🎓 is a distinguished scholar who earned his Ph.D. in Biomedical Engineering from Southeast University in 2006 🏫. Since then, he has devoted his academic career to the same institution, making remarkable contributions to biomedical research 🔬. His work has advanced the field through innovative studies and impactful publications 📚. Prof. Ge’s dedication to scientific excellence and education has played a key role in shaping the future of biomedical engineering 🌟. His commitment to research and mentoring young scholars continues to inspire the next generation of scientists 👩‍🔬👨‍🔬.

Research Interests

Prof. Qinyu Ge’s research focuses on innovative techniques in sample treatment and library preparation for high-throughput DNA sequencing. His work explores key areas such as spatial transcriptomics, providing insights into gene expression within tissue architecture 🧬, whole genome methylation studies to understand epigenetic modifications 🧪, and advanced DNA microarray design for precise genetic analysis 🔬. Through his contributions, Prof. Ge aims to enhance the accuracy and efficiency of genomic technologies, supporting breakthroughs in biomedical research and personalized medicine 🌍. His expertise continues to drive advancements in the rapidly evolving field of genomics and molecular biology.

Applications

Prof. Qinyu Ge is a leading expert in genomic technologies, making significant strides in cell-free nucleic acid analysis, methylation detection, and DNA polymorphism studies. 🧬🔬 His pioneering research has been instrumental in enhancing the accuracy and efficiency of genetic diagnostics, contributing to early disease detection and personalized medicine. 💡🧫 Through innovative approaches, Prof. Ge’s work bridges the gap between molecular biology and clinical applications, driving advancements in genomics and biotechnology. 🚀🌍 His dedication to scientific excellence continues to inspire breakthroughs, shaping the future of genetic research and healthcare. 📊🧪

Research Focus

Prof. Qinyu Ge’s research focuses on molecular biology, genomics, and bioinformatics 🧬🧪. His work explores transcriptomic analysis, environmental DNA (eDNA) applications, and non-invasive biomarkers for medical diagnostics 🧫🔬. He contributes to single-cell data analysis, DNA data storage, and the use of deep learning in predicting transcription factor binding sites 🤖📊. His studies cover areas like embryo selection, prostate cell typing, and neuroscience, including links to Parkinson’s disease 🧠🧍. By integrating advanced sequencing techniques with AI-based models, Prof. Ge enhances our understanding of gene expression, disease mechanisms, and biological data analysis. 🌍📈