Fadratul Hafinaz Hassan, Dr.


  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 5052
    Fax : +604 653 3335
    Room : 609

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    ORCID id. 0000-0002-5549-6379
    Author (Scopus) id. 36809487100
    Researcher (WoS) id. Y-1324-2018

    Research Cluster

    Data To Knowledge

  • Research Interest

    Pedestrian Simulation, Crowd Evacuation, Spatial Optimisation, Cellular Automata, Machine Learning


    Artificial Intelligence


Ph.D. degree holder in Artificial Intelligence specialising in optimisation methods of spatial layout design with pedestrian simulation model from Brunel University, London, UK. A senior lecturer with USM from 2014 and teaching numerous undergraduate and postgraduate subjects. Successfully secured 14 research grants; 7 as principal investigators and 7 grants as co-investigators within 8 years as an academic member of staff at USM. Current research projects on heterogenous pedestrian modelling under the Hubert-Curien Partnership Malaysia and France grant  with the Universite de Lyon 1, France and ABM modelling in public spaces with the University of Sydney, Australia. Also, acted as grant reviewer panel for the ELITE-S Fellowship Programme, Dublin City University and Australian Research Council.

Academic Qualifications

Ph.D., Centre for Intelligent Data Analysis, School of Information Systems, Computing and Mathematics, Brunel University, West London, UNITED KINGDOM.
M.Sc., School of Computer Sciences, Universiti Sains Malaysia, MALAYSIA.
B.Sc. (Hons.), School of Housing, Building & Planning, Universiti Sains Malaysia, MALAYSIA.

Academic and Industry Experience

2019-2020: Visiting Researcher (Sabbatical), The University of Sydney, NSW 2006 Australia.
Research Project: An Agent-Based Modeling Simulation on Analyzing Pedestrian Behavior Toward Street Frontages and Public Space in Australian City

2011-2012: Data Analyst, Estates Department, Brunel University, West London.

2010-2011: Graduate Teaching Assistant, Department of Information Systems and Computing, Brunel University, West London.

2004-2006: Software Research Engineer, R&D Department, MOTOROLA, Penang, Malaysia.

Research Grants

On Going Grants:

2021-2023: Prototype Research Grant Scheme (PRGS) (Project Leader), Development of a Smart Spatial Simulation System for Congestion Detection (S4-CD), Co-researchers: AP Dr. Alexandre Nicolas, Dr Rizal Muslimin, AP Dr. Wong Li Pei, Dr. Noorhazlinda Abd Rahman, AP Dr. Mohamed Najib Salleh.

2020-2022: Hubert-Curien Partnership Malaysia and France (PHC-HIBISCUS) (Project Leader), Modelling of Pedestrian Crowd Dynamics, in the Presence of Social Groups and Heterogeneous Pedestrian, Co-researcher: AP Dr. Alexandre Nicolas.

2020-2023: Universiti Sains Malaysia - Sandisk Storage Malaysia Sdn. Bhd. (SDSM) Centre of Innovation and Automation (CIA) Lab (Co-Researcher), Interactive Augmented Reality - Machine Learning Fusion Algorithm (ArfaML) for Machine Preventive Maintenance & Repairing Application, Project Leader: AP Dr. Nor Muzlifah Mahyuddin

2020-2023: Fundamental Research Grant Scheme (FRGS) (Co-Reseacher), Formulating a crime hotspot prediction model using enhanced density based clustering and auto regressive integrated moving averages techniques for improving prediction accuracy of resident burglary crime, Project Leader: Dr. Sukumar Letchuman. 

2019-2021: Fundamental Research Grant Scheme (FRGS) (Project Leader), Using Dijkstra’s Algorithm to Refine Pythagorean Theorem Solutions for Optimal Pedestrian Evacuation Route Finding, Co-researchers: Prof. Ahamad Tajudin Khader, Dr. Ahmad Sufril Azlan Mohamed, AP Dr. Mohamed Najib Salleh, AP Dr. Nor Muzlifah Mahyuddin, Prof. Rosni Abdullah, AP Dr. Wong Li Pei.

2019-2021: USM Short Term Grant (Co-Researcher), Predictive Model of Recurrent Stroke in Malaysia Population, Project Leader: Dr. Sabariah Noor Harun.

2018-2021: USM Research University - Individual (RUI) (Project Leader),  Bio-Inspired Optimization Algorithm for Spatial Layout Design of Cul-de-sac Area using Microscopic Pedestrian Movement in a Panic Situation, Co-researchers: Dr. Noorhazlinda Abd Rahman, AP. Dr. Nor Muzlifah Mahyuddin, Dr. Safial Aqbar Zakaria.

2018-2021: USM Research University - Individual (RUI) (Co-Researcher), Modelling the Dynamics of Crowds Behaviour in Relation to Pedestrians Interaction for an Emergency Evacuation Capacity Assessment in Rail Transit Terminal, Project Leader: Dr. Noorhazlinda Abd Rahman.

Completed Grants:

2016-2019: USM Research University - Individual (RUI) (Co-Researcher),  Solving Multimodal Transportation Problem as a Multiobjective Optimization Problem using a Nature Inspired Algorithm: A Study on Penang Public Transportation, Project Leader: AP. Dr. Wong Li Pei.

2016-2019: Fundamental Research Grant Scheme (FRGS) (Role: Project Leader), Enhancing Genetic Algorithm for Spatial Layout Design Optimisation with Pedestrian Simulation, Co-researchers: Prof. Ahamad Tajudin Khader, AP. Dr. Fuziah Ibrahim, Prof. Rosni Abdullah, Dr. Safial Aqbar Zakaria.

2018-2019: USM BRIDGING Grant (Project Leader), Pedestrian Simulation Model for Clogging Detection and Survival Prediction in a Fire Spreading Situation.

2015-2017: USM Short Term Grant (Project Leader), Pedestrian Simulator and Heuristic Search Methods for Spatial Layout Design,Co-reseachers: Prof. Rosni Abdullah.

2012-2016: LRGS (Co-Researcher), Project 1: Evacuation Modelling, Project Leader: Prof. Ahamad Tajudin Khader.

2015: PRGS (Co-Researcher), Disaster Relief and Preparedness: ResQ Banjir: A Mobile Apps for Emergency Rescue, Evacuation and Relief Center Management, Project Leader: AP Muhammad Rafie Mohd Arshad.

Selected Publications


Nicolas, A. and Hassan, F.H., 2021. Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling, Transportmetrica A: Transport Science, DOI: 10.1080/23249935.2021.1970651 

H. A. Ullah, S. Letchmunan, M. Sultan Zia, U. M. Butt and F. H. Hassan, "Analysis of Deep Neural Networks For Human Activity Recognition in Videos – A Systematic Literature Review," in IEEE Access, doi: 10.1109/ACCESS.2021.3110610.

Butt, U.M., Letchmunan, S., Hassan, F.H., Ali, M., Baqir, A., Koh, T.W. and Sherazi, H.H.R., 2021. Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access, 9, pp.47516-47529.

Hadisuwito, A.S. and Hassan, F.H., A comparative study of drought factors in the Mcarthur Forest Fire Danger Index in Indonesian Forest (2021) Journal of Ecology , Environment & Conservation, 27 pp. S85-S89.

Hadisuwito, A.S. and Hassan, F.H., Prediction of Meteorological Parameter Time Series Data for the Forest Fire Early Warning System (2020), Journal of Physics: Conference Series 1807 (1), 012029.


Wahab, M.N.A., Lee, C.M., Akbar, M.F., Hassan, F.H., Path Planning for Mobile Robot Navigation in Unknown Indoor Environments Using Hybrid PSOFS Algorithm (2020) IEEE Access, 8, art. no. 9186019, pp. 161805-161815.

M. Butt, S. Letchmunan, F. H. Hassan, M. Ali, A. Baqir and H. H. R. Sherazi, Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review (2020) in IEEE Access, vol. 8, pp. 166553-166574.

Hadisuwito, A.S. and Hassan, F.H., A Comparative Study of the Forest Fire Danger Index Calculation Methods Using Backpropagation (2020), Journal of Physics: Conference Series 1529 (5), 052051.


Rahman, N.A., Alias, N.A., Sukor, N.S.A., Halim, H., Gotoh, H., Hassan, F.H. Trajectories and walking velocity of pedestrian walking through angled-corridors: A unidirectional scenario (2019) IOP Conference Series: Materials Science and Engineering, 572 (1), pp. -. DOI: 10.1088/1757-899X/572/1/012114

Hassan, F.H., Razak, N.S.A., Ibrahim, N., Pei, W.L., Salleh, M.N. Pedestrian evacuation route plan using existing optimal exit selection algorithms (2019) International Journal of Innovative Technology and Exploring Engineering, 8 (8 S), pp. 351-356. DOI:

Ibrahim, N., Hassan, F.H., Azlan Mohamed, A.S., Khader, A.T. The Impact of Spatial Layout Design on the Pedestrian Movement during Panic Situation: Pedestrian Survival Prediction (2019) Journal of Physics: Conference Series, 1201 (1), pp. -. DOI: 10.1088/1742-6596/1201/1/012066

Hassan, F.H., Azelan, N.A. Comparing performance of machine learning algorithms in a flood prediction model with real data sets (2019) International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.4 S1), pp. 152-157. DOI: 10.30534/ijatcse/2019/2381.42019

Hadisuwito, A.S., Hassan, F.H. Using backpropagation to predict drought factor in keetch-byram drought index (2019) Baghdad Science Journal, 16 (2), pp. 477-484. DOI: 10.21123/bsj.2019.16.2(SI)0477

Ibrahim, N., Hassan, F.H. Pythagorean theorem for shortest distance in ca based pedestrian simulation: a case study on the closed area (2019) Lecture Notes in Electrical Engineering, 547, pp. 67-73. DOI: 10.1007/978-981-13-6447-1_9

Ibrahim, N., Hassan, F.H. Optimal moore neighborhood approach of cellular automaton based pedestrian movement: A case study on the closed area (2019) Advances in Intelligent Systems and Computing, 858, pp. 57-71. DOI: 10.1007/978-3-030-01174-1_5

Ibrahim, N., Hassan, F.H., Zakaria, S.A. Incorporating cellular automaton based microscopic pedestrian simulation and genetic algorithm for spatial layout design optimization (2019) Lecture Notes in Electrical Engineering, 481, pp. 283-293. DOI: 10.1007/978-981-13-2622-6_28


Hassan, F.H., Wye, A.Y.K., Yusof, S.S.S., Xiang, T.Y. Predicting risk of getting smoking-related cancer: A comparison of three prediction models (2018) ACM International Conference Proceeding Series, , pp. -. DOI: 10.1145/3230905.3230950


Ibrahim, N., Hassan, F.H. Features of microscopic pedestrian movement in a panic situation based on cellular automata model (2017) AIP Conference Proceedings, 1891, pp. -. DOI: 10.1063/1.5005396

Ibrahim, N., Akhir, N.S.M., Hassan, F.H. Predictive analysis effectiveness in determining the epidemic disease infected area (2017) AIP Conference Proceedings, 1891, pp. -. DOI: 10.1063/1.5005397

Kee, C.Y., Wong, L.-P., Khader, A.T., Hassan, F.H. Multi-label classification of estimated time of arrival with ensemble neural networks in bus transportation network (2017) 2017 2nd IEEE International Conference on Intelligent Transportation Engineering, ICITE 2017, , pp. 150-154. DOI: 10.1109/ICITE.2017.8056898

Hassan, F.H., Ibrahim, N., Kit, H.W., Abdullah, R. Incorporating genetic algorithm operators in optimization spatial layout design (2017) ACM International Conference Proceeding Series, Part F131200, pp. 179-183. DOI: 10.1145/3133264.3133292

Chuah, H.S., Wong, L.-P., Hassan, F.H. Swap-based discrete firefly algorithm for traveling salesman problem (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10607 LNAI, pp. 409-425. DOI: 10.1007/978-3-319-69456-6_34

Ibrahim, N., Akhir, N.S.M., Hassan, F.H. Using clustering and predictive analysis of infected area on dengue outbreaks in Malaysia (2017) Journal of Telecommunication, Electronic and Computer Engineering, 9 (12-Feb), pp. 51-58. DOI:

Ibrahim, N., Hassan, F.H., Abdullah, R., Khader, A.T. Features of microscopic horizontal transition of cellular automaton based pedestrian movement in normal and panic situation (2017) Journal of Telecommunication, Electronic and Computer Engineering, 9 (12-Feb), pp. 163-169. DOI:

Hassan, F.H., Kit, H.W., Rosni, N.M.L.N., Azhar, N.D.A. Non-overlapping ratios as fitness function in optimisation spatial layout design (2017) Journal of Telecommunication, Electronic and Computer Engineering, 9 (5-Feb), pp. 83-86. DOI:


Hassan, F.H. Using microscopic pedestrian simulation statistics to find clogging regions (2016) Proceedings of 2016 SAI Computing Conference, SAI 2016, , pp. 156-160. DOI: 10.1109/SAI.2016.7555976

Alidmat, O.K.A., Khader, A.T., Hassan, F.H. Two-dimensional cellular automaton model to simulate pedestrian evacuation under fire-spreading conditions (2016) Journal of Information and Communication Technology, 15 (1), pp. 83-105. DOI:


Hassan, F.H., Tucker, A. Automatic layout design solution (2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7014 LNCS, pp. 198-209. DOI: 10.1007/978-3-642-24800-9_20


Hassan, F.H., Tucker, A. Using cellular automata pedestrian flow statistics with heuristic search to automatically design spatial layout (2010) Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2, pp. 32-37. DOI: 10.1109/ICTAI.2010.80

Hassan, F.H., Tucker, A. Using uniform crossover to refine simulated annealing solutions for automatic design of spatial layouts (2010) ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, , pp. 373-379. DOI:



Najihah Ibrahim

Addy Suyatno Hadisuwito

Zhou Kun


Iliya Danjuma Zakwoi

Chuah How Siang (Co-SV)(Graduated)

Umair Muneer Butt (Co-SV)

Masters (Research)

Nor Shamira Sabri (Graduated)


Chen Zidong

Masters (Mixed-Mode)

Lee Chun Wei (Graduated)

Li Hualiang (Graduated)

Chen Ke (Graduated)

Chng Cheng Chuan (Graduated)


Shree Chakravarthy Devadas (Graduated)


Teo Keng Boon (Graduated) 


Postgraduate Courses:

CCS591: Research and Empirical Methods in Computer Science
CDS501: Principles and Practices of Data Science and Analytics

Undergraduate Courses:

CPC152/CPM252: Foundations and Programming for Data Analytics
CPT115: Mathematical Methods for Computer Science
CST131: Computer Organisation

Recognition & Leadership

Felo Bersekutu, Technology and Supply Chain Excellence Institute (TESCE), UUM
Panel Perancangan 5 Tahun "Sustainability Implementation Plan" 2021-2025, USM


Grant Reviewer Panel, ELITE-S Fellowship Programme, Dublin City University
Machine Lerning in Health and Medicine: Regression bagi Program Doktor Kesihatan Awam (Epidemiologi), Jabatan Perubatan Masyarakat, PPSP, HUSM
Professional Trainer (HRDF-Certified)


Data Science Certificate for Keysight
Introduction and Evolution to Data Science for Keysight Technologies
Workshop on Getting Excited with Grant Application, Universiti Technologi MARA
Data Science Certificate with JABIL

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School of Computer Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
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