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

 

 

 

 

Belmiro Duarte | Experimental Design | Best Researcher Award

Belmiro Duarte | Experimental Design | Best Researcher Award

Prof. Dr Belmiro Duarte, Belmiro Duarte, Portugal

Prof. Dr. Belmiro P.M. Duarte is a distinguished Coordinator Professor at the Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, specializing in Chemical Engineering, Process Design, and Modeling. With a strong foundation in Process Dynamics & Control, Clinical Trials Design, and Optimization, he integrates phenomenological and data-driven modeling into engineering solutions. An integrated researcher at INESC Coimbra, he has significantly contributed to product and process innovation. His academic excellence is reflected in 75+ peer-reviewed publications, 30+ conference contributions, and 9 course books. Over the years, he has combined teaching, research, and consultancy, providing expert guidance in chemical industries and R&D initiatives. His leadership in EC-funded projects and industrial consultancy has driven advancements in process optimization and experimental design. With a Habilitation in Chemical Engineering, Ph.D., and M.Sc., he continues to shape the future of chemical and industrial engineering. 🌟🔬

Publication Profile

Orcid

Education

Prof. Dr. Belmiro P.M. Duarte holds a Habilitation in Chemical Engineering from NOVA School of Engineering (2024), where he delivered a lecture on Model-Based Optimal Design of Experiments with applications in Chemical Engineering and Clinical Trial Design. He earned his Ph.D. in Chemical Engineering from the University of Coimbra (1995), focusing on Moving Finite Elements for solving PDAEs and moving front models. His M.Sc. in Information Management from the University of Coimbra (1998) explored Expected Utility in Decision-Making, particularly in biomass management for the pulp and paper industry. He completed his Graduation in Chemical Engineering at the University of Coimbra (1991) and a Baccalaureate in Chemical Engineering from Coimbra Institute of Engineering (1989). With deep expertise in process modeling, optimization, and quality management, Prof. Duarte’s academic journey has laid a strong foundation for his impactful contributions to both research and industry. 🎓🔬

Experience

Prof. Dr. Belmiro P.M. Duarte has been a Professor at the Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, since 1996, where he teaches Chemical and Industrial Engineering courses, specializing in Process and Product Design, Quality Management, and Process Modeling. His industrial experience includes serving as a Product Design Consultant at Bondalti Chemistry (2022–2023), where he analyzed the market potential for CMC and synthesized technical information. As a Process Design Consultant for Specialty Minerals, Inc. (2002), he evaluated the feasibility of continuous PCC production and implemented SPC procedures. His role as an R&D Consultant at Companhia de Celulose do Caima, S.A. (1997) involved assessing the pulp market potential and providing technical process support. Previously, as Head of the R&D Department at the same company (1996–1997), he managed EC-funded research projects and led research execution. His combined academic and industrial expertise bridges theoretical knowledge with practical applications, fostering process innovation and optimization. 🔍⚛️

Awards & Honors

Prof. Dr. Belmiro P.M. Duarte is a distinguished nominee for the Best Researcher Award, recognized for his outstanding contributions to Chemical Engineering and Process Design. With over 75 peer-reviewed publications and nine authored course books, his research has significantly impacted both academia and industry. As a long-standing faculty member at the Coimbra Institute of Engineering since 1996, he has played a pivotal role in shaping engineering education and research. Currently an Integrated Researcher at INESC Coimbra (2024–Present), he advances systems engineering and computational modeling. His expertise is further demonstrated through keynote presentations and contributions to over 30 international conferences. Additionally, as a leader in EC-funded research projects, he has pioneered innovative methodologies in process modeling and optimization. Prof. Duarte’s dedication to research excellence, education, and industry-driven innovation solidifies his position as a strong contender for the Best Researcher Award.

Research Focus

Prof. Dr. Belmiro Duarte’s research encompasses Chemical Engineering, Process Dynamics & Control, Product & Process Design, and Clinical Trials Optimization. His expertise in phenomenological and data-driven modeling, simulation, and optimization is applied across industrial and clinical settings. A key focus of his work is the integration of Model-Based Optimal Design of Experiments (MBoDE) to optimize chemical processes, pharmaceuticals, and clinical trials. He has also pioneered Process Analytical Technology (PAT) methods to enhance quality control and manufacturing efficiency. His contributions to Moving Finite Element Methods (MFEM) provide advanced solutions for partial differential-algebraic equations (PDAEs) and moving front models. With a strong emphasis on industrial process efficiency, sustainable engineering solutions, and experimental design methodologies, his cross-disciplinary research continues to drive innovation, benefiting both academia and industry. 🏭🔬

Publication Top Notes