Curriculum Vitae

DR. AISYAH HARTINI BINTI JAHIDIN

Senior Lecturer
  • Physics Division
    Centre for Foundation Studies in Science
  • 03-7967 5976

BIOGRAPHY

Dr. Aisyah Hartini Jahidin is currently a senior lecturer at the Centre for Foundation Studies in Science, University of Malaya (UM). She obtained the Bachelor of Engineering (Telecommunication) degree in 2002, and Master of Engineering Science degree in 2006 from UM. Dr. Aisyah received her PhD in Electrical Engineering from Universiti Teknologi MARA (UiTM) in 2015. Her current research area is in biomedical signal processing. She specializes in the applications of electroencephalogram (EEG) for cognitive studies and psychometric assessments. Dr. Aisyah is actively involved in collaborative projects with UiTM to develop new methods for assessing and cognitive traits using the EEG. She has published a total of 20 articles in indexed journals and conference proceedings on the related areas.

AREAS OF EXPERTISE

  • OTHER ELECTRICAL AND ELECTRONIC ENGINEERING
    Artificial Neural Network, Signal Processing, Electroencephalogram (EEG), Cognitive Abilities, Electromagnetic

ACADEMIC QUALIFICATION

  • Bachelor Degree, (Kejuruteraan Telekomunikasi)
    Universiti Malaya (UM)
  • MASTER DEGREE, (Kejuruteraan Elektrik)
    Universiti Malaya (UM)
  • Doctoral Degree (PhD), (Kejuruteraan Elektrik)
    Universiti Teknologi Mara (Uitm)

ADMINISTRATIVE DUTIES

  • Course Coordinator
    19 Jun 2023 - 31 Dec 2024 (Director Office, Centre for Foundation Studies in Science)
  • Head of Unit
    17 Oct 2022 - 16 Oct 2023 (Director Office, Centre for Foundation Studies in Science)
  • Task Force Member
    01 Dec 2022 - 29 Mar 2023 (Director Office, Centre for Foundation Studies in Science)
  • Task Force Leader
    09 Jan 2023 - 20 Jan 2023 (Director Office, Centre for Foundation Studies in Science)
  • Ahli JK Tatatertib
    03 Jul 2019 - 30 Jun 2021 (Director Office, Centre for Foundation Studies in Science)
  • Ahli JK - Kajiselidik
    03 Jul 2019 - 30 Jun 2021 (Director Office, Centre for Foundation Studies in Science)
  • Ahli JK Buku Panduan
    03 Jul 2019 - 30 Jun 2021 (Director Office, Centre for Foundation Studies in Science)
  • Ahli JK JBPPP, Program Asasi
    03 Jul 2019 - 30 Jun 2021 (Director Office, Centre for Foundation Studies in Science)
  • Pengerusi Jawatankuasa Jadual Waktu
    03 Jul 2019 - 31 Aug 2020 (Director Office, Centre for Foundation Studies in Science)
  • Pengerusi Jawatankuasa Jadual Waktu
    01 Feb 2017 - 31 Dec 2018 (Director Office, Centre for Foundation Studies in Science)
  • Committee Member of Discipline Committee
    15 Jun 2016 - 31 May 2018 (Director Office, Centre for Foundation Studies in Science)
  • Timbalan Ketua - Sekretariat dan Pendaftaran, Minggu Suai Kenal Pelajar Baru (ASASI dan APIDS) - Sesi 20172018
    29 Nov 2016 - 07 Jun 2017 (Director Office, Centre for Foundation Studies in Science)

MEMBERSHIPS

  • IEEE INDUSTRIAL ELECTRONICS SOCIETY (IES), MEMBER
    2023 to 2024 (National)
  • IEEE SENIOR MEMBER, MEMBER
    Since 2021 (International)
  • INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE), MEMBER
    2021 to 2021 (International)
  • BOARD OF ENGINEERS MALAYSIA, MEMBER
    2021 to present (National)

AWARD AND STEWARDSHIP

  • CERTIFICATE OF EXCELLENT SERVICE
    University of Malaya, 2018 (University)
  • Pembentang Terbaik (Sesi 3), Kolokium Penyelidikan Pusat Asasi Sains
    PASUM, 2018 (Ptj/ Faculty)
  • Bronze - Invention, Innovation and Design Exposition 2018
    Universiti Teknologi Mara, 2018 (National)
  • Jury for IID FKE 2018
    Universiti Teknologi Mara, 2018 (University)
  • Silver - Invention, Innovation and Design, IID FKE
    Fakulti Kejuruteraan Elektrik, Universiti Teknologi Mara, 2018 (Department)
  • Recognise Reviewer
    Elsevier, 2017 (International)
  • Innovation / Silver
    UiTM, 2017 (National)
  • Gold Award
    UiTM, 2016 (National)

PUBLICATIONS

Article in Journal
WoS
  1. Anoor, M. M., Jahidin, A. H., Arof, H., & Megat, M. S. A. (2020). EEG-based intelligent system for cognitive behavior classification. Journal of Intelligent & Fuzzy Systems, 39(1), 177-194. doi: 10.3233/jifs-190955
Scopus
  1. Shamsuri N.A., Hamsan M.H., Shukur M.F., Alias Y., Halim S.N.A., Aziz S.B., Jahidin A.H., Sulaiman M., Yuwana L., Siong S.O.J., Sarih N.M., Kadir M.F.Z. (2024). Enhancing EDLC applications with [BMIM]BF4-integrated cellulose gel electrolyte for sustainable energy storage, Journal of Energy Storage. 75. doi:10.1016/j.est.2023.109559
  2. Shariff K.K.M., Abdullah N.E., Al-Misreb A.A., Jahidin A.H., Ali M.S.A.M., Yassin A.I.M. (2023). Small but Diverse SEM Image Dataset: Impact of Image Augmentation on the Performance of AlexNet, TEM Journal. 12(2), 883-889. doi:10.18421/TEM122-34
  3. Shariff K.K.M., Ali M.Q.Z.M., Jahidin A.H., Ali M.S.A.M., Yassin A.I.M. (2023). VIDEO CAMERA TECHNOLOGY FOR VEHICLE COUNTING IN TRAFFIC CENSUS: ISSUES, STRATEGIES AND OPPORTUNITIES, Planning Malaysia. 21(4), 61-72. doi:10.21837/pm.v21i28.1316
  4. Razali M.I.H., Hairuddin M.A., Jahidin A.H., Som M.H.M., Ali M.S.A.M. (2022). Classification of nutrient deficiency in oil palms from leaf images using convolutional neural network, IAES International Journal of Artificial Intelligence. 11(4), 1314-1322. doi:10.11591/ijai.v11.i4.pp1314-1322
Others
  1. Azamin, N.H.R., Taib, M.N., Jahidin, A.H., Awang, D.S., Ali, M.S.A.M. (2019). IQ level prediction and cross-relational analysis with perceptual ability using EEG-based SVM classification model, IAES International Journal of Artificial Intelligence, 2019, 8(4), pp. 436 442
  2. M. M. Anoor, K. H. Khairul Anwar, M. S. A. Megat Ali and A. H. Jahidin. (2017). Classification of Students' IQ Level using EEG-based Intelligence Classifier Model. J. Fundam. Appl. Sci., 9(5S), 684-694.
  3. M. S. A. M. Ali, A. H. Jahidin, I. M. Yassin, I. Pasya, M. F. A. Khalid, Z. Awang (2017). Characterization of Post-Mi Electrocardiogram Using Power Ratio Features and K-Nearest Neighbor Classifier. Journal of Fundamental and Applied Sciences, 9(45), 937- 951.
  4. N. H. R. Azamin , A. H. Jahidin , M. S. A. Megat Ali, and M. N. Taib. (2017). Intelligence Quotient and Perceptual Ability: An Inter-Relationship based on Brainwave Power Ratio Features. J. Fundam. Appl. Sci., 9(6S), 944-953
  5. Megat Syahirul Amin Megat Ali, Aisyah Hartini Jahidin, Mohd Nasir Taib, & Norita Md Tahir. 2016. EEG sub-band spectral centroid frequency and amplitude ratio features: a comparative study in learning style classification. Jurnal Teknologi, 78(2) : 15-23.
  6. Megat Syahirul Amin Megat Ali, Aisyah Hartini Jahidin, Mohd Nasir Taib, Norita Md Tahir & Ihsan Mohd Yassin. 2016. Characterization of resting brainwave at different developmental stages of human learning. International Journal of Control Theory and Applications ( I J C T A), 9(6) : 2985-2991.
  7. Megat Syahirul Amin Megat Ali, Aisyah Hartini Jahidin, Mohd Nasir Taib, Norita Md Tahir & and Ihsan Mohd Yassin. 2016. Classification of Kolb's learning styles using EEG sub-band spectral centroid frequencies and artificial neural network. Asian Journal of Scientific Research, 9(5) : 234-241.
  8. A. H. Jahidin, M. N. Taib, N. Md. Tahir, M. S. A. Megat Ali. 2015. IQ classification via brainwave features: Review on artificial intelligence techniques. International Journal of Electrical and Computer Engineering 5(1) 84-91.
  9. A. H. Jahidin, M. S. A. Megat Ali, M. N. Taib, N. MdTahir, I. M. Yassin. 2015. Cross-relational study between intelligence and brain asymmetry abilities using EEG-based IQ classification model. Journal of Theoretical And Applied Information Technology 81(1) : 43-50.
  10. A. H. Jahidin, M. S. A. Megat Ali, M. N. Taib, N. Md Tahir, I. M. Yassin, and S. Lias. 2014. Classification of intelligence quotient via brainwave sub-band power ratio features and artificial neural network. Computer Methods and Programs in Biomedicine 114 : 50-59.
  11. M. S. A. Megat Ali, A. H. Jahidin, N. Md Tahir, M. N. Taib. 2014. Learning style classification via EEG sub-band spectral centroid frequency features. International Journal of Electrical and Computer Engineering 4(6) : 931-938.
Article in Proceeding
  1. Azamin, N. H. R.' Jahidin, A. H., Megat Ali, M. S. A., Awang, D. S., and Taib, M. N. (2019). Characterization of Perceptual Ability Based on Resting EEG. Proceedings of IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2019), Selangor, Malaysia, 253-257. doi: 10.1109/I2CACIS.2019.8825096
Scopus
  1. Azhan M.N.M., Megat Ali M.S.A., Mansor W., Zainal Abidin N.A., Jahidin A.H., Mohd Yassin A.I., Mohd Rozlan M.F.R., Mahmoodin Z. (2023). An EEG-Based Visual Working Memory Assessment Protocol for Children, IEEE Symposium on Wireless Technology and Applications, ISWTA. 2023-August, 187-192. doi:10.1109/ISWTA58588.2023.10249299

RESEARCH PROJECT

National
  1. 2022 - 2025, Fundamental Research Grant Scheme (FRGS)
    The Contribution Of Degraded Waste Honey As Additive To Reduce The Crystallinity Of Polymer Blend Solid Electrolytes For Faster Ionic Conduction For Separators In Energy Devices ( Co-Researcher)
  2. 2022 - 2024, UM International Collaboration Grant
    Investigating Humor Quotient And Stress On Higher Education Students ( Co-Researcher)
  3. 2016 - 2018, Bantuan Kecil Penyelidikan (BKP)
    Study on the Relationship between Intelligence Quotient and Learning Style based on Brainwaves Patterns ( Principal Investigator(PI))
  4. 2022 - 2023, 2022 SATU Joint Research Scheme (JRS)
    Development and Implementation of Funds of Knowledge Repository of University Students for Meaningful Science Teaching and Learning in Universities, Universiti Teknologi Malaysia (UTM) ( Co-Researcher)
  5. 2019 - 2021, Prototype Research Grant Scheme (PRGS)
    EEG-based IQ-Learning Style Assessment System with Cloud Processing Capabilities ( Co-Researcher)
  6. 2015 - 2017, Fundamental Research Grant Scheme (FRGS)
    Hemispheric Brainwave Characterisation in Human Learning ( Consultant)
Private
  1. 2022 - 2023, 2022 SATU Joint Research Scheme (JRS)
    Predicting the success of learning performance of neurofeedback (BCI) training, Universiti Tunku Abdul Rahman (UTAR) ( Co-Researcher)

SUPERVISION

Postgraduate Student
PhD/ Doctoral
  1. (2023) ENHANCING ANOMALY DETECTION IN 6G NETWORKS WITH HYBRID DEEP LEARNING, MOHD AKBAR BIN ABU BAKAR
  2. (2019) Intelligent IQ Classification Model and Perceptual Ability using EEG Power Ratio Features, Noor HIdayah binti Ros Azamin (M0100401)
  3. (2016) Characterisation of Perceptual Ability based on Alpha Syncronisation Index from the Frontal Brainwaves, Noor HIdayah binti Ros Azamin (Universiti Teknologi Mara (Uitm))
Master
  1. (2022) OPTIMIZED BRAINWAVE-BASED WORKING MEMORY MODEL FOR PREDICTING COGNITIVE BEHAVIOR PROFILE IN CHILDREN, NABILA AMEERA BINTI ZAINAL ABIDIN (Universiti Teknologi Mara (Uitm))
  2. (2022) OPTIMIZED BRAINWAVE-BASED WORKING MEMORY MODEL FOR PREDICTING COGNITIVE BEHAVIOR PROFILE IN CHILDREN, NABILA AMEERA BINTI ZAINAL ABIDIN (Universiti Teknologi Mara (Uitm))
  3. (2020) EEG-BASED IQ AND LEARNING STYLE CLASSIFICATION MODEL USING ARTIFICIAL NEURAL NETWORK, MUHAMMAD MARWAN BIN ANOOR
  4. (2018) EEG-based IQ and Learning Style Classification Model using Artificial Neural Network, Muhammad Marwan bin Anoor