Hafeez Ullah Amin

Contact

• workRoom DB33 Block D
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8166
• Hafeezullah.Amin@nottingham.edu.my

Biography

Dr. Amin joined the School of Computer Science, University of Nottingham, Malaysia as an Assistant Professor in February 2020. Previously, he has worked as a postdoctoral researcher from October 2017 to February 2020, and a Research Scientist from August 2015 to October 2017 at Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS (UTP), Malaysia. He has received a B.Sc. (Hons) degree in Information Technology and a M.S. degree in Computer Science (with specialization in Artificial Intelligence) from Pakistan in 2006 and 2009, respectively. He has obtained his Ph.D. in Electrical and Electronic Engineering with a specialty in EEG Signal Processing and Applied Machine Learning from UTP in July 2017. He has published over 50 articles in flagship local and international conference proceedings and peer-reviewed impact factor journals of Elsevier, IEEE, Springer, and Frontiers with a total cumulative impact factor of above 50. His research interests include EEG/ERP signals, cognitive computing, neuroinformatics, and machine learning in healthcare. He is a senior member of IEEE, Fellow of Advanced HE (FHEA), UK, Malaysian Society of Neurosciences, and Malaysian Engineering Society.

Expertise Summary

He has expertise in human brain mapping, such as EEG and ERP acquisition, experiment designing, Feature extraction & feature selection, statistical analysis, and modeling data with machine learning techniques.

He has contributed to various research projects related to learning memory, emotion, intelligence assessment, working memory and attention, depression and epilepsy detection at the time when he was a research scientist and postdoctoral researcher. He has experience of experiment designing using E-prime software, Acquisition of EEG and ERP signals with high-density EEG system, such as EGI 128 channel system, analysis of EEG feature extraction, source analysis and resting-state connectivity by programming in MATLAB, and statistical analysis in SPSS.

He is well trained in acquisition of brain signals data; having expertise in analyzing the biomedical signals, with techniques such as Wavelet Transform, Fourier Transform, and non-linear methods for extraction of features from signals; data reduction techniques such as PCA and statistics to optimize the extracted features data, and machine learning algorithms to model the experimental data.

Teaching Summary

Teaching Courses in 2020-2021; 2021-2022; 2022-2023:

System and Architecture [Assembly Language Programming] (autumn)

Fundamentals of Artificial Intelligence (spring)

Mathematics for Computer Science II (spring)

Research Summary

He is conducting multidisciplinary research, especially for mental healthcare, using neuroimaging techniques, cognitive computing, signal processing, and applied machine learning. Potential students… read more

Selected Publications

• AMIN, HAFEEZ ULLAH, OUSTA, FIRAS, YUSOFF, MOHD ZUKI and MALIK, AAMIR SAEED, 2021. Modulation of cortical activity in response to learning and long-term memory retrieval of 2D verses stereoscopic 3D educational contents: Evidence from an EEG study Computers in Human Behavior. 114, 106526
• AMIN, HAFEEZ ULLAH, YUSOFF, MOHD ZUKI and AHMAD, RANA FAYYAZ, 2020. A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 56, 101707
• AMIN, HAFEEZ ULLAH, MUMTAZ, WAJID, SUBHANI, AHMAD RAUF, SAAD, MOHAMAD NAUFAL MOHAMAD and MALIK, AAMIR SAEED, 2017. Classification of EEG Signals Based on Pattern Recognition Approach FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 11, 1-12
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, KAMEL, NIDAL, CHOOI, WENG-TINK and HUSSAIN, MUHAMMAD, 2015. P300 correlates with learning & memory abilities and fluid intelligence JOURNAL OF NEUROENGINEERING AND REHABILITATION. 12,

• View all publications

FYP Topics are OPEN! for discussion

Call for potential computer science students who are willing to join FYP 2023-2024 and are interested to conduct a research based FYP or on development side on the following topic but not limited to (you may bring your idea and discuss)

1. AI for Cyber security
2. Cognitive Cyber Security Applications
3. Causal AI and Decision Making
4. Applied Machine Learning in EEG Research
5. Applied Machine Learning in Business Analytics

Current Research

He is conducting multidisciplinary research, especially for mental healthcare, using neuroimaging techniques, cognitive computing, signal processing, and applied machine learning. Potential students interested in UG internship, UG Final Year Project, MSc dissertation, and especially MPhil/PhD studies, and Postdoc studies in the following research areas (but not limited) can contact me directly via (hafeezullah.amin@nottingham.edu.my) for supervision, idea discussion and grants application.

Areas:

1. AI Applications in Mental Healthcare
2. EEG/ERP/MEG Signals Processing
3. Applied Machine Learning
4. Biomedical Data Science
5. Cognitive and Affective Computing

Past Research

Previously, he has investigated semantic long-term memory using EEG/ERP signals, and developed methods for EEG feature extractions. In addition, he has worked on research projects related to cognitive functions and disorders.

Future Research

In Future, with the continuation of the current research, I am interested to work on Internet Gaming Addiction with EEG Technology and explore the neuronal mechanism of Gaming Addiction on cognitive abilities and academic performance. In addition, I am looking to work on designing Serious Gaming for mental healthcare, learning disabilities, and cognitive performance improvement.

Furthermore, I am also interested to work on projects Machine Learning Applications in Business Analytics, Machine, Financial Risk Assessment, Human Behavior and Decision Making, and Economic Forecasting and Decision Making for policymakers.

Interested researchers are welcome for research collaboration in the above areas (not limited) for joint grants application, joint students' supervision, joint research publications, and organizing academic and editorial events, like seminar, special issue in journal, and conferences.

Potential students are also welcome (including UG internship, UG Final Year Project, MSc dissertation, MPhil/PhD project, and Postdoc project) to contact me directly (hafeezullah.amin@nottingham.edu.my) for idea discussion, supervision, and grants application.

• MUMTAZ, WAJID, AMIN, HAFEEZ ULLAH, QAYYUM, ABDUL and SUBHANI, AHMAD RAUF, 2022. EEG-based Assistive Robotics for Rehabilitation Frontiers in Neurorobotics.
• NG KAH KIT;, HAFEEZ ULLAH AMIN; and AHMAD RAUF SUBHANI, 2022. Discrete Wavelet Transform based EEG Feature Extraction and Classification for Mental Stress using Machine Learning Classifiers In: IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
• HAFEEZ ULLAH AMIN and YASIR HAFEEZ, 2022. EEG Feature Extraction with Fast Fourier Transform for Investigating different Brain regions in Cognitive and Reasoning Activity In: IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA).
• AMIN, HAFEEZ ULLAH, OUSTA, FIRAS, YUSOFF, MOHD ZUKI and MALIK, AAMIR SAEED, 2021. Modulation of cortical activity in response to learning and long-term memory retrieval of 2D verses stereoscopic 3D educational contents: Evidence from an EEG study Computers in Human Behavior. 114, 106526
• HAFEEZ, YASIR, ALI, SYED SAAD AZHAR, ABU HASAN, RUMAISA, ADIL, SYED HASAN, MOINUDDIN, MUHAMMAD, EBRAHIM, MANSOOR, YUSOFF, MUHAMAD SAIFUL BAHRI, AMIN, HAFEEZULLAH and AL-SAGGAF, UBAID, 2021. Development of Enhanced Stimulus Content to Improve the Treatment Efficacy of EEG-Based Frontal Alpha Asymmetry Neurofeedback for Stress Mitigation IEEE ACCESS. 9, 130638-130648
• AMIN, HAFEEZ ULLAH, YUSOFF, MOHD ZUKI and AHMAD, RANA FAYYAZ, 2020. A novel approach based on wavelet analysis and arithmetic coding for automated detection and diagnosis of epileptic seizure in EEG signals using machine learning techniques BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 56, 101707
• JAWED SOYIBA, AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED and FAYE IBRAHIMA, 2020. Hemispheric Asymmetries in Electroencephalogram Oscillations for Long-Term Memory Retrieval in Healthy Individuals Brain Sciences. 10(12), 937
• ROSLAN, NUR SYAHIRAH, IZHAR, LILA IZNITA, FAYE, IBRAHIMA, AMIN, HAFEEZ ULLAH, SAAD, MOHAMAD NAUFAL MOHAMAD, SIVAPALAN, SUBARNA, KARIM, SAMSUL ARIFFIN ABDUL and RAHMAN, MOHAMMAD ABDUL, 2019. Neural correlates of eye contact in face-to-face verbal interaction: An EEG-based study of the extraversion personality trait PLOS ONE. 14(7),
• JAWED, SOYIBA, AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED and FAYE, IBRAHIMA, 2019. Classification of Visual and Non-visual Learners Using Electroencephalographic Alpha and Gamma Activities FRONTIERS IN BEHAVIORAL NEUROSCIENCE. 13(86), 1-15
• CHAI, MEEI TYNG, AMIN, HAFEEZ ULLAH, IZHAR, LILA IZNITA, SAAD, MOHAMAD NAUFAL, MALIK, AAMIR SAEED and TANG, TONG BOON, 2019. Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory FRONTIERS IN NEUROINFORMATICS. 13(66), 1-21
• HANOUNEH, SAMER, AMIN, HAFEEZ ULLAH, SAAD, NAUFAL M. and MALIK, AAMIR SAEED, 2018. EEG Power and Functional Connectivity Correlates with Semantic Long-Term Memory Retrieval IEEE ACCESS. 6, 8695-8703
• JAWED, SOYIBA, AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED and FAYE, IBRAHIMA, 2018. EEG Visual and Non- Visual Learner Classification Using LSTM Recurrent Neural Networks In: IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). 467-471
• JAWED, SOYIBA, AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED and FAYE, IBRAHIMA, 2018. Differentiating between visual and non-visual learners using EEG power spectrum entropy In: INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM.
• AMIN, HAFEEZ ULLAH, MUMTAZ, WAJID, SUBHANI, AHMAD RAUF, SAAD, MOHAMAD NAUFAL MOHAMAD and MALIK, AAMIR SAEED, 2017. Classification of EEG Signals Based on Pattern Recognition Approach FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 11, 1-12
• MAZHER, MOONA, ABD AZIZ, AZRINA, MALIK, AAMIR SAEED and AMIN, HAFEEZ ULLAH, 2017. An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence IEEE ACCESS. 5, 14819-14829
• TYNG, CHAI M., AMIN, HAFEEZ U., SAAD, MOHAMAD N. M. and MALIK, AAMIR S., 2017. The Influences of Emotion on Learning and Memory FRONTIERS IN PSYCHOLOGY. 8, 1-22
• AHMAD, RANA FAYYAZ, MALIK, AAMIR SAEED, KAMEL, NIDAL, REZA, FARUQUE, AMIN, HAFEEZ ULLAH and HUSSAIN, MUHAMMAD, 2017. Visual brain activity patterns classification with simultaneous EEG-fMRI: A multimodal approach TECHNOLOGY AND HEALTH CARE. 25(3), 471-485
• QAZI, EMAD-UL-HAQ, HUSSAIN, MUHAMMAD, ABOALSAMH, HATIM, MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH and BAMATRAF, SAEED, 2017. Single Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence FRONTIERS IN HUMAN NEUROSCIENCE. 10, 1-19
• MALIK, AAMIR SAEED and AMIN, HAFEEZ ULLAH, 2017. Designing an EEG Experiment for Studying the Brain: Design Code and Example Datasets 1st. Elsevier Academic Press.
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, KAMEL, NIDAL and HUSSAIN, MUHAMMAD, 2016. A Novel Approach Based on Data Redundancy for Feature Extraction of EEG Signals BRAIN TOPOGRAPHY. 29(2), 207-217
• BAMATRAF, SAEED, HUSSAIN, MUHAMMAD, ABOALSAMH, HATIM, QAZI, EMAD-UL-HAQ, MALIK, AMIR SAEED, AMIN, HAFEEZ ULLAH, MATHKOUR, HASSAN, MUHAMMAD, GHULAM and IMRAN, HAFIZ MUHAMMAD, 2016. A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. 11, 8491046
• TYNG, CHAI MEER, AMIN, HAFEEZ ULLAH, SAAD, MOHAMAD NAUFAL MOHAMAD, MALIK, AAMIR SAEED and KANG, KENNETH, 2016. EEG Coherence and Source Localization Analysis during Multimedia Learning Process In: IEEE EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES). 5-8
• TYNG, CHAI MEEI, AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED and SAAD, MOHAMAD NAUFAL MOHAMAD, 2016. EEG Spectral Analysis and Functional Connectivity during Learning of Science Concepts In: 6TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS).
• ROSLAN, NUR SYAHIRAH, AMIN, HAFEEZ ULLAH, IZHAR, LILA IZNITA, SAAD, MOHAMAD NAUFAL MOHAMAD and SIVAPALAN, SUBARNA, 2016. Role of EEG Delta and Beta Oscillations During Problem Solving Tasks In: 6TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS).
• AHMAD, RANA FAYYAZ, MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH, KAMEL, NIDAL and REZA, FARUQUE, 2016. Classification of Cognitive and Resting States of the Brain using EEG Features In: IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA). 245-249
• HANOUNEH, SAMER, AMIN, HAFEEZ ULLAH, SAAD, NAUFAL M. and MALIK, AAMIR SAEED, 2016. The Correlation Between EEG Asymmetry and Memory Performance During Semantic Memory Recall In: 6TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS).
• MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH, BADRUDDIN, NASREEN, KAMEL, NIDAL, AHMAD, RANA FAYYAZ and MUMTAZ, WAJID, 2015. Evaluation of Stereoscopic 3D Based Educational Contents for Long-Term Memorization ANNALS OF NEUROLOGY. 78, S89-S89
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, KAMEL, NIDAL, CHOOI, WENG-TINK and HUSSAIN, MUHAMMAD, 2015. P300 correlates with learning & memory abilities and fluid intelligence JOURNAL OF NEUROENGINEERING AND REHABILITATION. 12,
• MALIK, AAMIR SAEED, KHAIRUDDIN, RAJA NUR HAMIZAH RAJA, AMIN, HAFEEZ ULLAH, SMITH, MARK LLEWELLYN, KAMEL, NIDAL, ABDULLAH, JAFRI MALIN, FAWZY, SAMAR MOHAMMAD and SHIM, SEONGO, 2015. EEG based evaluation of stereoscopic 3D displays for viewer discomfort BIOMEDICAL ENGINEERING ONLINE. 14,
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, AHMAD, RANA FAYYAZ, BADRUDDIN, NASREEN, KAMEL, NIDAL, HUSSAIN, MUHAMMAD and CHOOI, WENG-TINK, 2015. Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE. 38(1), 139-149
• AHMAD, RANA FAYYAZ, MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH, KAMEL, NIDAL, QAYYUM, ABDUL and REZA, FARUQUE, 2015. Nonlinear Features Based Classification of Active and Resting States of Human Brain using EEG In: IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA). 264-268
• HANOUNEH, SAMER, AMIN, HAFEEZ ULLAH, SAAD, NAUFAL M. and MALIK, AAMIR SAEED, 2015. Functional Connectivity of EEG Regional Delta and Inter-Regional Gamma Activity Correlates with Memory Recall In: PROCEEDINGS 5TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2015). 504-507
• HUSSAIN, MUHAMMAD, BAMATRAF, SAEED, ABOALSAMH, HATIM, MATHKOUR, HASSAN, MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH, MUHAMMAD, GHULAM and QAZI, EMAD-UL-HAQ, 2015. A System based on 3D and 2D Educational Contents for True and False Memory Prediction using EEG Signals In: 7TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). 1096-1099
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, MUMTAZ, WAJID, BADRUDDIN, NASREEN and KAMEL, NIDAL, 2015. Evaluation of Passive Polarized Stereoscopic 3D Display for Visual & Mental Fatigues In: 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). 7590-7593
• MUMTAZ, WAJID, MALIK, AAMIR SAEED, ALI, SAYED SAAD, AZHAR, MOHD YASIN and AMIN, HAFEEZ ULLAH, 2015. Detrended Fluctuation Analysis for Major Depressive Disorder In: 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC).
• MALIK, AAMIR SAEED, AMIN, HAFEEZ ULLAH, KAMEL, NIDAL, CHOOI, WENG-TINK and HUSSAIN, MUHAMMAD, 2014. The Effects of 3D Technology on the Brain during Learning and Memory Recall Processes ANNALS OF NEUROLOGY. 76, S24-S24
• ZAFAR, RAHEEL, MALIK, AAMIR S., AMIN, HAFEEZ ULLAH, KAMEL, NIDAL, DASS, SARAT and AHMAD, RANA FAYYAZ, 2014. EEG Spectral Analysis during Complex Cognitive Task at Occipital In: IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES). 907-910
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, HUSSAIN, MUHAMMAD, KAMEL, NIDAL and CHOOI, WENG-TINK, 2014. Brain Behavior during Reasoning and Problem Solving Task: An EEG Study In: 5TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS 2014).
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, BADRUDDIN, NASREEN and CHOOI, WENG-TINK, 2014. Brain Behavior in Learning and Memory Recall Process: A High-Resolution EEG Analysis In: 15TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING.
• AMIN, HAFEEZ ULLAH and MALIK, AAMIR SAEED, 2014. Memory Retention and Recall Process. In: KAMEL, NIDAL and MALIK, AAMIR SAEED, eds., EEG/ERP Analysis: Methods and Applications 1st Edition. CRC Press.
• AMIN, HAFEEZULLAH and MALIK, AAMIR S., 2013. Human memory retention and recall processes A review of EEG and fMRI studies NEUROSCIENCES. 18(4), 330-344
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, BADRUDDIN, NASREEN and CHOOI, WENG-TINK, 2013. EEG Mean Power and Complexity Analysis during Complex Mental Task In: ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING (CME). 648-651
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, SUBHANI, AHMAD RAUF, BADRUDDIN, NASREEN and CHOOI, WENG-TINK, 2013. Dynamics of Scalp Potential and Autonomic Nerve Activity during Intelligence Test. In: LEE, MINHO, HIROSE, AKIRA, HOU, ZENG-GUANG and KIL, RHEE MAN, eds., Neural Information Processing 8226. Springer Berlin Heidelberg. 9-16
• AMIN, HAFEEZ ULLAH, MALIK, AAMIR SAEED, BADRUDDIN, NASREEN and WENG-TINK, CHOOI, 2012. Brain Activation During Cognitive Tasks: An Overview of EEG and fMRI Studies In: BIOMEDICAL ENGINEERING AND SCIENCES (IECBES). 950-953