Associate Professor Dr Bahbibi Rahmatullah (Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia)

Bahbibi Rahmatullah is currently the Director of National Child Development Research Centre (NCDRC) in Sultan Idris Education University, Malaysia. Having received a DPhil in Eng. Science from University of Oxford, UK, she is keen in applying the technical and research skills gained in improving the quality of education and research in Malaysia. She has authored a wide range of publications and had been invited to review articles for high impact journals and conferences. Current research involves developing Malaysian ECCE quality framework, evaluation of curriculum implementation in private nurseries, learning analytics for national child data center and image quality characterization for growth assessment.

Research Interest: Child development, Learning analytics, Project approach, Image and signal processing

Memberships, editorial boards: 

1. Task Force Ramping Up The Early Child Care and Education (ECCE) Industry, KPWKM
2. International Advisory Board for Engineering Journal, UKM
3. Reviewer for Dove Medical Press Reviewer for Educatum Journal of Science, Mathematics and Technology

List of Research Grants (recent 5 years):

1. B Rahmatullah. Comparative Analysis of Automated Applications using Fetal Ultrasound Images", Indian Journal of Public Health Research & Development, 2019, 10 (4), 1271-1276.
2. SM Samuri, B Rahmatullah, N Abdullah, A Ahmad, ZM Isa, H Hammed. “Early Childhood Research Landscape on Children’s Profile: Coherent Taxonomy, Motivation, Open Challenges, Recommendations and, Pathways for Future Research”, Child Indicators Research, 2018, 11(5), 1603–1630.
3. B Rahmatullah. "Kaedah imbasan janin menggunakan pengimejan ultrasound 2D bagi pengukuran biometri dan diagnosis pertumbuhan secara automatik", International Conference on ICT in Education (ICICT@EDU), 2016.
4. B Rahmatullah, A Papageorghiou, JA Noble. "Anatomical Object Detection in Fetal Ultrasound: Computer-Expert Agreements”, Biomedical Informatics and Technology, 2014.
5. S Rueda, S Fathima, CL Knight, M Yaqub, A Papageorghiou, B Rahmatullah, A Foi, M Maggioni, A Pepe, J Tohka, RV Stebbing, JE McManigle, A Ciurte, X Bresson, MB Cuadra, C Sun, GV Ponomarev, MS Gelfand, MD Kazanov, CW Wang, HC Chen, CW Peng, CM Hung, and JA Noble. “Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge”, IEEE Transactions in Medical Imaging (TMI), 2014.

Link to CV: https://drive.google.com/open?id=1qTvT9McuQSiedQXrJnKXeKS4bFyAQeHx

Field: STEM, Signal Processing, Learning Analytics, Machine Learning

Dr Nurul Fadly Habidin (Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia)

Nurul Fadly Habidin is a Senior Lecturer at Universiti Pendidikan Sultan Idris, where he teaches industrial management, management accounting and business engineering. His main research interests are environmental management accounting, lean, six sigma, quality/business engineering and continuous/performance process improvement.

Research Interest: Business and Quality Engineering Automotive Technology and Management Advanced Management Accounting Islamic Engineering and Management 

Memberships, editorial boards: 

1. Engineering and Physical Sciences, World Academy of Science, Engineering and Technology (WASET), https://waset.org
2. International Journal of Management and Sustainability, http://www.aessweb.com.
3. Journal of Business Management and Administration (JBMA), http://www.peakjournals.org
4. International Journal of Development and Economics Sustainability, http://www.eajournals.org
5. Strategic Research Initiative, http://sri.aasrc.org
6. Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd: Exploring Innovation: A Key for Dedicated Services, http://www.blueeyesintelligence.org
7. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), http://www.ijltemas.in
8. Blue Ocean Research Journals (BORJ), http://www.borjournals.com Bonfring International Journal of Industrial Engineering and Management Science, http://journal.bonfring.org

*full list in the CV

List of Research Grants (recent 5 years):

1. Nurul Fadly Habidin, Sharul Effendy Janudin, Norlaile Salleh Hudin, Mohd Nazir Md Zabit, Nursyazwani Mohd Fuzi, and Sharon Yong Yee Ong. (2019). Supply chain process of environmental information system: Exploratory factor analysis. International Journal of Supply Chain Management, 8(3), 592-595. (Q3: Elsevier, SCOPUS)
2. Nurul Fadly Habidin, Sharul Effendy Janudin, Norlaile Salleh Hudin, Mohd Nazir Md Zabit, Nursyazwani Mohd Fuzi, and Sharon Yong Yee Ong. (2019). Environmental information system: Conceptual framework of supply chain process. International Journal of Supply Chain Management, 8(3), 596-599. (Q3: Elsevier, SCOPUS)
3. Nurul Fadly Habidin, Aqmar Nur Izzah Norazlan, and Nursyazwani Mohd Fuzi. (2019). Sustainable supply chain management: Factor analysis. International Journal of Supply Chain Management, 8(3), 600-604. (Q3: Elsevier, SCOPUS)
4. Nurul Fadly Habidin, Suzaituladwini Hashim, Nursyazwani Mohd Fuzi, and Mad Ithnin Salleh. (2018). Total productive maintenance, kaizen event, and performance. International Journal of Quality & Reliability Management, 35(9), 1853-1867. (Q1: ESCI, SCOPUS)
5. Nurul Fadly Habidin, Norlaile Salleh Hudin, Mohd Nazir Md Zabit, Nursyazwani Mohd Fuzi, and Sharon Yong Yee Ong. (2018). The supply chain process of environmental information system in the Malaysian manufacturing industry. International Journal of Supply Chain Management, 7(5), 290-293. (Q3: Elsevier, SCOPUS)
6. Nurul Fadly Habidin, Anis Fadzlin Mohd Zubir, Nursyazwani Mohd Fuzi, and Mad Ithnin Salleh. (2018). The relationship between sustainable manufacturing practices, lean improvement and performance. World Review of Entrepreneurship, Management and Sustainable Development. (Q2: Elsevier, SCOPUS-Accepted)

*full list in the CV

Link to CV: https://portal3.upsi.edu.my/cms/DirektoriPakar/viewDetail.jsp?SID=DE5B437016844A4D

Field: Lean