Norhaslinda currently holds the position of Associate Professor and serves as a dedicated researcher within the Decision Science Department at the School of Quantitative Sciences at Universiti Utara Malaysia. Her primary research focus centers around employing system dynamics simulations to address a diverse array of policy-related matters, spanning domains such as health, agriculture, transportation, manufacturing, and public policy.

Her research endeavors have encompassed a wide range of subjects, including in-depth examinations of health concerns like obesity, tobacco usage, and dengue outbreaks, as well as investigations into topics such as vehicle inspection wait times, palm oil and paddy agriculture, road congestion and planning, takaful insurance, and manufacturing time completion.

Her work often involves the integration of system dynamics with multiple modeling methods [e.g. Genetic Algorithmn, Artificial Neural Network, The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Data Envelopment Analysis (DEA), Linear Programming, and Discrete Event Simulation (DES)] where the aim is to provide robust decision support tools. In recent research of simulation problems, real cases are more prominent since the problems are more complex thus represent real situation. 

Such intricate problems hold immense potential to significantly advance the research landscape, leading to substantial contributions. Hence, her research mostly focus on the complexity of real cases and solved them mathematically. Consequently, these efforts not only facilitate impactful research outcomes and scholarly publications but also elevate opportunities for consultation services

RESEARCH INTEREST

Simulation, System Dynamics, Operational Research, Integration of System Dynamics with Operational Research Techniques (e.g., Multi Criteria Decision Making and Optimization)

CURRENT RESEARCH PROJECT 

• A Dynamic Model Of Sustainable Coconut Downstream Industry For Socio Economic Development In Malaysia (Industrial Collaboration Grant 2020 - On-going)
• A New Classification Tree Model With Prioritized Factors For Predicting Students' Tendencies In Choosing Technical And Vocational Education And Training (Tvet) (FRGS 2020 - On-going) 
• A System Dynamics Deforestation Model Towards Conservation Of Forest In Malaysia (FRGS 2019 - On-going)
• An Integrated Dynamic Genetic Algorithm Model To Mitigate Heavy Traffic Congestion In Kuala Lumpur (FRGS 2019 - On-going)
• A Dynamic Model For Sustainability Of Micro- Takaful Structure By Combining Zakah And Waqf Funds For B-40 Category (FRGS 2019 - On-going)
• Food Expenditure Of The B40 Households: Developing A Decision-Support System For Food Price Determination In Malaysia (FRGS 2019 - On-going)
• Developing Interactive MADA Paddy Estate Decision Making System: Way Forward To Increase Rice Self-Sufficiency Level In Malaysia. (FRGS 2019 - On-going)

PERSONAL LINK

Research Gate: https://www.researchgate.net/profile/Norhaslinda_Zainal_Abidin
Google Scholar: https://scholar.google.com/citations?user=LVBPoJEAAAAJ&hl=en 

Dr. Nazrina Aziz is currently Associate Professor of Statistics in the Department of Mathematics and Statistics at the Universiti Utara Malaysia. She has taught a vast range of statistics courses for undergraduate degrees, master’s degrees and training courses. Her research interest concerns the investigation of theoretical problems and applications in a variety of areas such as Acceptance Sampling, Satisfaction Survey, Program Evaluation Survey, Disease Mapping and Statistical Modeling in Healthcare. She has involved in developing a few instruments to measure industrial employees’ and tertiary education’s satisfaction. She has also edited three books, four scopus indexed proceedings and contributed five chapters in different books. Currently, a majority of her postgraduate students are investigating on acceptance sampling. Most of their works have been publishedin indexing journals and proceedings.

RESEARCH INTEREST

Acceptance Sampling, Multivariate & Survival Analysis, Stochastic Disease Mapping, Statistical Modeling in Medicine, Healthcare, and Psychology.

CURRENT RESEARCH PROJECT 

• Novel Family of Group Chain Acceptance Sampling Plans for Truncated Life Tests Using Minimum Angle Method - FRGS
• Designing Family of Bayesian Group Chain Sampling Plans For Handling Product Quality Variation In Industry - FRGS

PERSONAL LINK

Research Gate: https://www.researchgate.net/profile/Nazrina_Aziz
ORCID: https://orcid.org/0000-0003-3473-4056
Google Scholar: https://scholar.google.com/citations?hl=en&user=Ut-a9RsAAAAJ 

Ibrahim M. Sulaiman is currently an International Senior lecturer in the School of Quantitative Sciences (SQS), Universiti Utara Malaysia (UUM). He holds a master’s and PhD degree in Applied Mathematics from Universiti Sultan Zainal Abidin, Terengganu, Malaysia between 2015 and 2018. Upon completing his PhD, he was appointed to serve as a postdoctoral researcher in the Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia for 2 years, 6 months. During the postdoctoral period, he was able to publish about 58 articles all indexed in Scopus database. Sulaiman is an author of many other scholarly research papers and serve as a reviewer to some reputable journals such as Journal of Applied Mathematics and Computing; Topological Algebra and Applications, Journal of King Saud University-Sciences, Journal of Computational Algebra among others. His main research interest include; optimization methods, fuzzy nonlinear problems, Mathematical Modelling, and Fluid mechanics, to name a few. Sulaiman is currently active in UUM teaching Calculus and Statistics courses in addition supervision and conducting research in his areas of specialization.

RESEARCH INTEREST

Optimization Methods, Numerical Methods, Fuzzy nonlinear Systems, Mathematical Modelling, Fluid Mechanics

CURRENT RESEARCH PROJECT 

• TBU

PERSONAL LINK

UUM Expert: http://experts.uum.edu.my/Researcher_Info.aspx?nopkj=6071
Research Gate: https://www.researchgate.net/profile/Sulaiman-Ibrahim-2
Scopus Authors ID: https://www.scopus.com/authid/detail.uri?authorId=56656205000
Google Scholar: https://scholar.google.com/citations?user=hbfnPRoAAAAJ&hl=en
ORCID: https://orcid.org/0000-0001-5246-6636

Dr. Saadi bin Ahmad Kamaruddin is now a senior lecturer at School of Quantitative Sciences (SQS), University Utara Malaysia, Sintok campus. He received both of his Master's Degree in Applied Statistics, and PhD in Information Technology and Quantitative Sciences from UiTM, Shah Alam. He was also a bachelor's graduate in Mathematics with Hons from IIUM. He has huge interest in applied mathematics, applied statistics, as well as product innovations and inventions. His specialties are Artificial Neural Network, Metaheuristic Algorithm, and Data Analytics. Currently, from Scopus, his H index is 4 with 49 citations by 25 documents.

RESEARCH INTEREST

Applied Statistics, Data Analytics, Data Science and Metaheuristic Algorithms

CURRENT RESEARCH PROJECT

• Alumni Ratings Index - Development of A Rating System Towards Greater University Performance (Geran University - On-Going)
• Auto-Counting of Underwater Objects Apps Using Inception Model of Convolutional Neural Network (CNN)) (Geran 3+1 - On-Going)
• Controlling Food Waste Using Smart Portable Outdoor Domestic Solar Drying Cabinet (Podsod) With Smartphone Application: Utilisation of Available ICT Infrastructure In Campus (Development And Ecosystem Research Grant Scheme - On-Going)
• A Hybrid Date Palm Seed Growth Algorithm Least Median Square and Backpropagation Neural Network for Stock Market Prediction (FRGS - On-Going)
• Evaluating Students' Engagement Towards Blended Learning of Distance Learning Programme: A Case Study In Elementary Statistics Subject (Geran Penjanaan - On-Going)

PERSONAL LINK

UUM Expert: http://www.experts.uum.edu.my/Researcher_Info.aspx?nopkj=5938
Google Site: https://sites.google.com/site/usanewscorp/dr-saadi-bin-ahmad-kamaruddin-from-malaysia-with-national-championship--2018-in-electrical-engineering-evolutionary-algorithms
ORCID: https://orcid.org/0000-0003-2783-8236
Research Gate: https://www.researchgate.net/scientific-contributions/Saadi-Bin-Ahmad-Kamaruddin-2034413196 
Google Scholar: https://scholar.google.com/citations?user=H7lr4sAAAAAJ&hl=en

Assoc. Prof. Dr. Nazihah Ahmad works at the School of Quantitative Sciences, Universiti Utara Malaysia (UUM). Her current research interests include fuzzy mathematics, topology, and mathematical modelling in medicine, healthcare, finance, and psychology. She has been awarded several research grants by the Ministry of Education Malaysia and UUM as a principal and co-investigator. The quality of her work has been published in international journals (indexed by SCOPUS or Web of Science), conference proceedings, books and book chapter. She has been teaching mathematics for more than 20 years at the undergraduate and master's level. She has also supervised master and PhD students. Her expertise was acknowledged by her academic peers when she was appointed as an external/internal examiner, article reviewer and external assessor. At national level, she has involved in revising the mathematics syllabus based on the Secondary School Standard Curriculum and in organizing STEM service-learning activities to inspire and strengthen STEM education among young people.

RESEARCH INTEREST

Fuzzy Mathematics, Fuzzy Linear System, Topology, Persistent Homology, Ordinary  and Partial Differential Equations, Mathematical Modeling in Medicine, Healthcare and Psychology. 

CURRENT RESEARCH PROJECT 

• An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory. (FRGS, 2019 – Completed).
• High-Performance Robust Multivariate Synthetic Control Charts with Highest Breakdown Point Location Estimators. (FRGS, 2019 – On-going).
• Novel Hesitant Fuzzy Network Methods with The Incorporation of Z-Numbers and Social Network Analysis for Large-Scale Group Decision Making. (FRGS, 2019 – completed).
• A Green Fuzzy Multi-Criteria Pharmaceutical Waste Disposal Management. (RACER, 2019 – completed).
• Peningkatan Sumber Ekonomi Golongan Asnaf Melalui "Ezee Diy Aquaponics Design". (IPIZ, 2022 – On-going).
• Generalised Multistep Second Derivative Block Method for Solving Epidemiology Models with Fuzzy Parameters. (Geran Penjanaan, 2022 – On-going).
• High-Accuracy Generalised Higher Derivative Block Method for SIR And SI-SIR Models in Predicting Dengue Outbreak. (Geran Penjanaan, 2022 – On-going).
• Pemantauan Prestasi Agihan Zakat ke Arah Kelestarian Pendapatan di Kedah semasa Covid-19 Menggunakan Carta Kawalan Berstatistik dan Rantaian Markov. (IPIZ, 2022 – On-going).

PERSONAL LINK

Research Gate:  https://www.researchgate.net/profile/Nazihah_Ahmad
Google Scholar:  https://scholar.google.com/citations?user=ooptFKEAAAAJ&hl=en

Assoc. Prof. Dr. Norazura Ahmad holds the position of Senior Lecturer in Operations Research/Decision Science at the School of Quantitative Sciences, Universiti Utara Malaysia (UUM). Her teaching focuses on applying Operations Research and Management Science techniques to decision-making scenarios in business and management. During the current semester (A201), she instructs Research in Quantitative Sciences II at the undergraduate level. Beyond this course, she has also delivered instruction on other Operation Research subjects offered within the Decision Science curriculum.

Dr. Norazura's research interests revolve around Simulation Modeling and Optimization. Her academic contributions encompass 13 papers published in Scopus-indexed international journals, 4 papers in refereed journals, 1 book, 3 book chapters, and approximately 18 conference papers. She has guided the successful graduation of one M.Sc. student and co-supervised two M.Sc. students. Currently, she is supervising seven postgraduate students, with four of them pursuing PhD degrees.

RESEARCH INTEREST

Computer modelling and simulation, optimization.

CURRENT RESEARCH PROJECT 

• Modelling Air Cargo Demand Prediction and Terminal Capacity Planning using System Dynamics (Case Study Grant Scheme 2021 – On-going)
• Measuring the Efficiency of Zakat Collection and Distribution in Kedah Using Data Envelopment Analysis (Agensi Luar (Dalam Negara) Awam 2020 – On-going)
• A Dynamic Model Of Sustainable Coconut Downstream Industry For Socio Economic Development In Malaysia ((Industrial Collaboration Grant 2020–On-going)
• A System Dynamics Deforestation Model Towards Conservation of Forest in Malaysia (FRGS-RACER 2019 - ongoing)
• Enhancing Production Planning by Embedding Human Characteristics through Cyclical Integration of Simulation Model at an Aircraft Manufacturing Industry (University Grant 2019)
• Integration Of DEA with Uncertainty in Hybrid Simulation Model for Capacity Planning in Health Care Emergency (University Grant 2018)

PERSONAL LINK

Google Scholar: https://scholar.google.com/citations?user=pCq3dwIAAAAJ&hl=en
Research Gate: https://www.researchgate.net/profile/Norazura_Ahmad 

Associate Professor Dr. Hasimah Sapiri is a senior lecturer at Mathematics and Statistics Department, School of Quantitative Sciences, Universiti Utara Malaysia (UUM). She received her PhD from Universiti Sains Malaysia in 2012. Hasimah’s main research interest covered the application of mathematical modelling and system dynamics simulation in various fields such as health, finance, environment, and public policy generally. She is also the co-author of a book titled Introduction to System Dynamics Modeling and Vensim Software, which has been recognized worldwide.

RESEARCH INTEREST

Operational Research, Computer Simulation, System Dynamics

CURRENT RESEARCH PROJECT 

• Total Economic Value (TEV) Of Pulau Payar Marine Park: Revisit Model TEV PPMP 2011 (Public Agency Grant 2022-On-going)
• Pengukuran Daya Tampung Di Kawasan Perlindungan Marin Pulau Payar, Kedah Darul Aman (Public Agency Grant 2022-On-going)
• Constructing Personal Finances Quadrant Scorecard Via Identification of Contributing Factors Towards Financial Management Skills Among Young Adults (University Grant 2021-On-going)
• Modelling Air Cargo Demand Prediction and Terminal Capacity Planning Using System Dynamics (Imbre Case Study Grant 2021-Completed)
• Hybrid Model Integrating Structural Equations Modeling and System Dynamic for Malaysian House Price (FRGS 2019-Completed)

PERSONAL LINK

ResearchGate: https://www.researchgate.net/profile/Hasimah_Sapiri

Google Scholar: https://scholar.google.com/citations?user=XmnlXl8AAAAJ&hl=en

Dr. Ch’ng Chee Keong works as a senior lecturer and researcher in the Department of Decision Sciences at the School of Quantitative Sciences, Universiti Utara Malaysia. He earned his Ph.D. in Decision Science from Universiti Utara Malaysia in 2016. His doctoral research focused on creating a 'Winsorize tree algorithm for handling outliers in classification problems.' This algorithm introduces a modified classification tree that uses the Winsorize Gini purity index to handle outliers without requiring pruning.

In his teaching role, Dr. Ch’ng has covered various subjects including Data Mining, Elementary Statistics, Research in Quantitative Sciences, Project Paper, and Computer-Aided Decision Making. Beyond teaching, he actively conducts research to contribute to the growth of knowledge.

Dr. Ch’ng is also a trainer for SAS Enterprise Miner in the Master of Science (Data Analysis) program's project paper. This involves guiding students in using the data analysis tool, helping them acquire skills that align with industry needs. His research interests revolve around understanding data patterns, operational research, and data mining, with a focus on classification and clustering. He's also involved in applied and educational research, particularly in Technical and Vocational Education and Training (TVET).

Presently, Dr. Ch’ng is involved in two research projects funded by the university. One project examines 'Readiness and Intention to Vote Among Undergraduate Students Using Predictive Modelling,' while the other project aims to create a 'Rank-Based Weight Allocation Model for the Selection of Dyscalculia Interventions (2022).' He's also collaborating with postgraduate students on a research study titled 'Predicting Suicide Contagion Among Higher Education Students in Malaysia using Data Mining Approaches.' This study employs hybrid data mining techniques to build predictive models for identifying potential cases of suicide contagion.

RESEARCH INTEREST

Classification and Prediction, Anomaly Detection, Clustering Analysis, Data Mining, Association Rule Mining

CURRENT RESEARCH PROJECT 

• Rank-Based Weight Allocation Model for the Selection of Dyscalculia Interventions (University Grant 2022 - On going).
• UNDI18: Readiness and Intention to Vote Among Undergraduate Students Using Predictive Modelling (University Grant 2022 - On going).
• A New Classification Tree Model with Prioritized Factors for Predicting Students' Tendencies in Choosing Technical and Vocational Education and Training (TVET) (FRGS 2020 – On-going).
• A Contemporary Teaching & Learning Approach to Enhance Active Learning in Media & Society Course Using the Newly Proposed O-P-A Model (University Grant 2019 - Completed).
• A Study of Graduate on Time (GOT) for Ph.D Students using Analytical Hierarchical Process (University Grant 2016 - Completed).

PERSONAL LINK

ResearchGate: https://www.researchgate.net/profile/Chee-Keong-Chng

Google Scholar: https://scholar.google.com/citations?user=8FXwxJYAAAAJ&hl=en

UUM Expert: http://experts.uum.edu.my/Researcher_Info.aspx?nopkj=3497

ORCID ID: 0000-0001-5828-1130

Dr. Chandrakantan Subramaniam is currently an Professor of Human Resource Management at College of Business, Universiti Utara Malaysia. He holds a Bachelor's Degree in Human Resource Management from Universiti Utara Malaysia (UUM) in 1999; a Master's Degree in Emergency Response and Planning from University Putra Malaysia in 2002, and a Doctorate in Human Resource Management from Universiti Utara Malaysia in 2009. He joined Universiti Utara Malaysia as a tutor in 2000 and as a lecturer in 2002. He was promoted as a Professor in 2020. He did his primary education at Sekolah Kebangsaan Tuanku Abdul Malik, Kulim before continuing his secondary education in Kolej Sultan Abdul Hamid, Alor Setar and Sekolah Menengah Sultan Badlishah, Kulim. 

Dr. Chandrakantan’s primary research and teaching interests include human resource management, occupational safety and health, and emergency response management. He also writes and publishes his work at both local and international journals

RESEARCH INTEREST

Occupational Safety and Health

CURRENT RESEARCH PROJECT 

• KESIHATAN MENTAL DALAM KALANGAN REMAJA: IMPLIKASI PERSEKITARAN, PENDIDIKAN DAN PENGGUNAAN TEKNOLOGI SEMASA PANDEMIK COVID-19 (2021), Member, Kementerian/agensi lain
• THE MEDIATING EFFECT OF ORGANIZATIONAL TRUST ON SAFETY MANAGEMENT PRACTICES AND SAFETY REPORTING BEHAVIOR IN SMES (2020), Member, Persendirian
• AQUANOM (2020), Member, Kementerian/agensi lain
• CO & COAL (2020), Member, Kementerian/agensi lain
• SAFETY REPORTING BEHAVIOR: VALIDATION OF SCALE AND IMPLICATION TO OCCUPATIONAL SAFETY AND HEALTH IN SMES IN MALAYSIA (2019), Member, Kpt
• KAJIAN PROGRAM PASUKAN PERANCANGAN DAN PELAKSANAAN PROJEK (4P) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM RTC DI BAWAH PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM MRTC DI BAWAH PROGRAM/PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM PEMBANGUNAN MINDA DI BAWAH PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Leader, Kementerian/agensi lain
• KAJIAN PROGRAM KOOPERASI DI BAWAH PROGRAM/PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM MENTO-MENTEE KEDAH DI BAWAH PROGRAM/PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM LATIHAN DI KOLEJ KEDA DI BAWAH PROGRAM/PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain
• KAJIAN PROGRAM PENINGKATAN PENDAPATAN (PPP) DI BAWAH PROGRAM/PROJEK YANG DILAKSANAKAN OLEH LEMBAGA KEMAJUAN WILAYAH KEDAH (KEDA) (2018), Member, Kementerian/agensi lain

PERSONAL LINK

UUM Expert: http://www.experts.uum.edu.my/Researcher_Info.aspx?nopkj=1859 

Assoc. Prof. Dr. Shri Dewi Applanaidu is attached to the Department of Economics and Agribusiness, School of Economics, Finance and Banking, Universiti Utara Malaysia (UUM). Currently, she is the Head of the Sustainable Agriculture and Food Research Unit (SAFRU). She obtained her PhD in Economics from Universiti Putra Malaysia. Dr. Shri Dewi also a lifetime member for Malaysian Economic Association. As an academic staff of UUM, she has been active in teaching, supervision, research, publications, consultations and innovations. She teaches at both undergraduate and postgraduate levels. Some of the taught courses at the undergraduate level are Agricultural Production Economics, Econometrics and Research Methodology, while the taught courses at the postgraduate level are Research Methodology, Advanced Microeconomics and Managerial Economics. In terms of supervision, she has successfully supervised 8 PhD students (2 from Sri Lanka, 4 from Nigeria & 2 from Malaysia). She also has been appointed as an internal and external PhD and Master thesis examiner. 

Her research interests are in the area of Agricultural Econometric Modeling, Agricultural Economics, Food Security and Development Economics. She also has produced several publications nationally and internationally in the form of journal articles, book, chapter in books and proceedings. Besides publications, she also has been appointed as a reviewer for journal articles and the external reviewer for Oil Palm Industry Economic Journal under Malaysian Palm Oil Board (MPOB). She also keen into innovation and she and her team was won 2 gold and 2 silver medals in the International Innovation Exhibitions. In term of consultations, recently she has been appointed as a Short Term Consultant with World Bank. Her other on-going consultation is with Federal Agricultural Marketing Authority (FAMA). Previous consultations was also with World Bank for another project and Council of Palm Oil Producing Countries (CPOPC).

RESEARCH INTEREST

Agricultural Economics, Agricultural Commodity Modeling, Food security

CURRENT RESEARCH PROJECT 

• MODELING THE IMPACT OF COCONUT REPLANTING AND REHABILITATING STRATEGY FOR THE SUSTAINABILITY OF THE COCONUT INDUSTRY IN MALAYSIA (2022), Member, Universiti
• CONSTRUCTING A STAKEHOLDER-CENTRIC MODEL OF GOVERNANCE: THE CASE STUDY OF PERTUBUHAN PELADANG KAWASAN (2022), Member, Universiti
• FORMULATING ENDOGENEOUS VARIABLES FOR MEASURING THE SUSTAINABILITY OF MALAYSIA GLUTINIOUS RICE USING A SYSTEM DYNAMICS APPROACH (2022), Member, Lain-lain
• THE AGRONOMIC PARAMETERS AND ECONOMIC FEASIBILITY STUDY OF HYDROPONIC VEGETABLES:A COMPARATIVE CASE STUDY OF UNIVERSITI UTARA MALAYSIA (UUM) AND UNIVERSITAS SLAMET RIYADI, SURAKATA INDONESIA (UNISRI) AGROFARM (2022), Leader, Antarabangsa
• DEVELOPING AYAM KAMPONG DECISION SUPPORT SYSTEM (DSS) USING ECONOMICS FEASIBILITY STUDY: TOWARDS ZERO WASTE-CIRCULAR ECONOMY (2021), Leader, Universiti
• DEVELOPING EDUCATIONAL HYDROPONIC KIT WITH AN INTERACTIVE ANIMATED MODULE MOBILE APP TO ATTRACT YOUNG GENERATION INTO AGRICULTURE SECTOR (2021), Member, Universiti
• FUNDAMENTAL STUDY ON FINANCIAL LITERACY: UNDERSTAND AND SOLUTION AMONG CHILDREN IN NORTHERN REGION OF MALAYSIA (2019), Member, Kpt
• DEVELOPING INTERACTIVE MADA PADDY ESTATE DECISION MAKING SYSTEM: WAY FORWARD TO INCREASE RICE SELF-SUFFICIENCY LEVEL IN MALAYSIA (2019), Leader, Kpt
• THE EFFECT OF AB YELLOW FERTILIZER FROM REXIL AGRO ON THE RICE PRODUCTION AT MADA, KEDAH (2019), Leader, Industri
• FOOD EXPENDITURE OF THE B40 HOUSEHOLDS: DEVELOPING A DECISION-SUPPORT SYSTEM FOR FOOD PRICE DETERMINATION IN MALAYSIA (2019), Member, Kpt

PERSONAL LINK

UUM Expert: http://www.experts.uum.edu.my/Researcher_Info.aspx?nopkj=1583
Google Site:  

Associate Professor Dr. Hasimah Sapiri is a senior lecturer at Mathematics and Statistics Department, School of Quantitative Sciences, Universiti Utara Malaysia (UUM). She received her PhD from Universiti Sains Malaysia in 2012. Hasimah’s main research interest covered the application of mathematical modelling and system dynamics simulation in various fields such as health, finance, environment, and public policy generally. She is also the co-author of a book titled Introduction to System Dynamics Modeling and Vensim Software, which has been recognized worldwide.

RESEARCH INTEREST

Operational Research, Computer Simulation, System Dynamics

CURRENT RESEARCH PROJECT 

• Total Economic Value (TEV) Of Pulau Payar Marine Park: Revisit Model TEV PPMP 2011 (Public Agency Grant 2022-On-going)
• Pengukuran Daya Tampung Di Kawasan Perlindungan Marin Pulau Payar, Kedah Darul Aman (Public Agency Grant 2022-On-going)
• Constructing Personal Finances Quadrant Scorecard Via Identification of Contributing Factors Towards Financial Management Skills Among Young Adults (University Grant 2021-On-going)
• Modelling Air Cargo Demand Prediction and Terminal Capacity Planning Using System Dynamics (Imbre Case Study Grant 2021-Completed)
• Hybrid Model Integrating Structural Equations Modeling and System Dynamic for Malaysian House Price (FRGS 2019-Completed)

PERSONAL LINK

ResearchGate: https://www.researchgate.net/profile/Hasimah_Sapiri

Google Scholar: https://scholar.google.com/citations?user=XmnlXl8AAAAJ&hl=en

Aida Mauziah Benjamin is a senior lecturer of Decision Science in the School of Quantitative Sciences at Universiti Utara Malaysia. Her interests include combinatorial optimization problems, decision support systems, metaheuristics, and mathematical modeling. She received her Bachelor's degree in Information Technology in 2000 and her Master's degree in Decision Science in 2003, both from Universiti Utara Malaysia. She obtained her PhD in Operational Research from Brunel University in 2011. Her doctoral thesis work involved using tabu search and variable neighborhood search for the waste collection vehicle routing problem with time windows. She has published her work in various journals, such as Computers and Operations Research, Optimization Letters, Journal of Information and Communication Technology, International Journal of Mathematics in Operational Research, RAIRO Operations Research, and many more. Additionally, she has served as a reviewer for various established impact journals, including those indexed in Scopus.

RESEARCH INTEREST

Mathematical modelling, Heuristics, and Metaheuristics for solving Vehicle Routing Problem, Timetabling and Scheduling, Assignment Problem, and Location Allocation Problem.

CURRENT RESEARCH PROJECT 

• A New Landfill Sites Contraint in A Vehicle Routing Problem Using Strawberry Algorithm (Geran Penjanaan - Completed)
• Optimal KXP Airport Port Runway Capacity: What Can Computer Simulation Offer? (Geran Kajian Kes – On-going)
• Simulation Models for Replicating the Operations of Runways At KXP, PEN and BWH Airports and Estimating Their Potential Usage (Industrial Collaboration Grant – On-going)
• New Classes of Derivative-Free Algorithms for Solving Optimization Problems and Monotone Nonlinear Equations (FRGS grant – On-going)
• Municipal Solid Waste Management Through Recycling: A Move Towards Sustainability Campus (Development and Ecosystem Research Grant Scheme - On-going)
• A Shelter Location-Allocation Model for Flood Evacuation Planning with Different Medium of Rescue Vehicle Using Hybrid Fuzzy Ant Colony Optimization (FRGS grant – On-going)

PERSONAL LINK

UUM Expert: http://experts.uum.edu.my/Researcher_Info.aspx?nopkj=2149

Scopus Authors ID: https://www.scopus.com/authid/detail.uri?authorId=35791775500

Google Scholar: https://scholar.google.com/citations?hl=en&user=OIS7MHIAAAAJ

Research Gate: https://www.researchgate.net/profile/Aida-Benjamin

Dr Helmy Mohd Daud joined Inland Revenue Board (IRBM) in 2002 after graduating from Universiti Putra Malaysia. His career grew at IRBM almost 20 years where he was moving from one branch to another and particularly in tax investigation and intelligence speciality. Previously, he also holds as Director of Resource and Tax Evasion Complaints Division in Department of Intelligence and Profiling. Currently, he works at tax investigation branch in Putrajaya. He’s also actively involves in tax investigation issue as a researcher and speaker.

RESEARCH INTEREST

Tax Investigation, Tax Evasion Strategy and Tax Compliance

CURRENT RESEARCH PROJECT 

• TBU

PERSONAL LINK

Google Scholar: Https://scholar.google.com/citations?user=fO6n4PgAAAAJ&hl=en

Dr Aamir Adeeb is an innovative researcher with over 6 years of experiences and in-depth knowledge in data analytics, programming and software development, machine learning, optimisation and Multi Criteria Decision Making .

He holds a PhD from University Malaya, MSc of Aerospace Engineering from University of Manchester, UK and Bachelor of Science in Engineering Technology (Mechanical) from UniKL.

Dr Aamir Adeeb is not only active in academic, he is also active in startup and commercialization. Currently, Dr Aamir Adeeb is with Decision Science Department, School of Quantitative, Universiti Utara Malaysia.

RESEARCH INTEREST

 Data analytic, Programming, Operational Research, Engineering Management

CURRENT RESEARCH PROJECT 

• TBU

PERSONAL LINK

Google Scholar: https://scholar.google.com