Intelligent Modelling and Analysis Group
 

Image of Tomas Maul

Tomas Maul

Professor,

Contact

Biography

Tomás Maul received a BSc (Hons.) degree in Psychology from the University of St. Andrews, St. Andrews, UK, two MSc degrees in Computer Science from Imperial College, London, UK, and a PhD degree in Computer Science (Computational Neuroscience) from the University of Malaya, Kuala Lumpur, Malaysia. For two years, he was a Senior Researcher with MIMOS Berhad, where he worked in the fields of pattern recognition and computer vision. He is currently Associate Professor at the School of Computer Science, University of Nottingham Malaysia, where he lectures and conducts research mainly in the area of neural computation.

Teaching Summary

Autonomous Robotic Systems

Languages and Computation

Compilers

Research Summary

Overview

My main research interests revolve around Neural Computation. I'm particularly interested in Computational Neuroscience and how different biological neural systems solve different types of computational problems. In terms of problem domains, I have mostly been involved in the research of visual functions (e.g. pattern recognition, pose estimation, illumination normalization, and others) and therefore Computer Vision and Image Processing are central to my investigations. My two main goals are thus to reverse engineer biological neural systems and to re-engineer (e.g. optimize) the extracted solutions. This re-engineering effort addresses a variety of applied computational problems and contributes to the School's focus on Intelligent Decision Support. Other relevant areas of interest which fall within this theme are: Optimization, Machine Learning, Natural Computation and Artificial Intelligence

Current/Recent Grants

I was the principal investigator in a project funded by the Microsoft AI for Earth program, totaling 15,000 USD, in the topic of deep learning for biodiversity monitoring. This grant spanned the period from August 2021 to August 2022.

Selected Publications

  • LEE, KA SHING, CHEN, HUI LING, NG, YONG SIN, MAUL, TOMAS, GIBBINS, CHRIS, TING, KANG-NEE, AMER, MOHAMMED and CAMARA, MATEUS, 2022. U-Net skip-connection architectures for the automated counting of microplastics Neural Computing and Applications. 34(9), 7283-7297
  • KANG, CHEN WEN, HONG, CHUA MENG and MAUL, TOMAS, 2021. Towards data-free gating of heterogeneous pre-trained neural networks Applied Intelligence. 1-12
  • SENG, GOH HOWE, MAUL, TOMAS and KAPADNIS, MANAV NITIN, 2021. Compositional Committees of Tiny Networks In: International Conference on Neural Information Processing. 389-396
  • WANI, DUHITA and MAUL, TOMAS, 2021. Image Super-Resolution for Arthropod Identification In: 2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021). 317-324
  • CHONG, CHIEN HWA, LOO, JASON YS, YAP, DARRELL JJ, CHAN, ZI JUN, ABUBAKAR, MUHAMMAD, SURESH, SHANAHAN AL, ELLEITHY, ALI WAEL MOHAMED ALI, GAN, WEI LIANG, TAN, WEI HAN, HONG, WAN THING and OTHERS, 2023. A deep learning method to predict outdoor temperature profile of pavement bricks with phase change materials Journal of Engineering Science and Technology. 18(2), 1083-1112
  • JOYOADIKUSUMO, ANANTO and MAUL, TOMAS, 2023. Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization In: International Conference on Brain-Inspired Cognitive Systems.
  • LEE, KA SHING, CHEN, HUI LING, NG, YONG SIN, MAUL, TOMAS, GIBBINS, CHRIS, TING, KANG-NEE, AMER, MOHAMMED and CAMARA, MATEUS, 2022. U-Net skip-connection architectures for the automated counting of microplastics Neural Computing and Applications. 34(9), 7283-7297
  • SANZANA, MIRZA RAYANA, MAUL, TOMAS, WONG, JING YING, ABDULRAZIC, MOSTAFA OSAMA MOSTAFA and YIP, CHUN-CHIEH, 2022. Application of deep learning in facility management and maintenance for heating, ventilation, and air conditioning Automation in Construction. 141, 104445
  • SANZANA, MIRZA RAYANA, ABDULRAZIC, MOSTAFA OSAMA MOSTAFA, WONG, JING YING, MAUL, TOMAS and YIP, CHUN-CHIEH, 2022. Effects of external weather on the water consumption of thermal-energy-storage air-conditioning system Available at SSRN 4232763.
  • LIU, HAIXIA, BRAILSFORD, TIM, GOULDING, JAMES, MAUL, TOMAS, TAN, TAO and CHAUDHURI, DEBANJAN, 2022. Towards Idea Mining: Problem-Solution Phrase Extraction from Text In: Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. 3-14
  • WAQAS, MUHAMMAD, MAUL, TOMAS, LIAO, IMAN YI and AHMED, AMR, 2022. Lightweight Deep Network for the Classification of Breast Cancer Histopathological Images In: 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). 1-6
  • ZHIYUAN CHEN, SALMA ELSAID, DOREEN YING YING SIM, TOMAS MAUL and IMAN YI LIAO, 2022. Detection of Oil Palm Fresh Fruit Bunches (FFBS) with Computer Vision Models In: 2022 International Conference on Mechanical, Automation and Electrical Engineering (CMAEE).
  • CAMARA, MATEUS KARVAT, POSTAL, ADRIANA, MAUL, TOMAS HENRIQUE and PAETZOLD, GUSTAVO, 2022. Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective arXiv preprint arXiv:2211.13035.
  • SANZANA, MIRZA RAYANA, ABDULRAZIC, MOSTAFA OSAMA MOSTAFA, WONG, JING YING, MAUL, TOMAS and YIP, CHUN-CHIEH, 2022. Analysis of machine learning techniques for predictive maintenance in cooler condition In: 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). 1-4
  • ABDULRAZIC, MOSTAFA OSAMA MOSTAFA, SANZANA, MIRZA RAYANA, NG, KHER HUI, MAUL, TOMAS and WONG, JING YING, 2022. Maker Education for Cultural Awareness With a Serious 3D Game Authoring Tool: Design Considerations Available at SSRN 4196883.
  • CHEN, ZHIYUAN, ELSAID, SALMA, SIM, DOREEN YING YING, MAUL, TOMAS and LIAO, IMAN YI, 2022. Detection of Oil Palm Fresh Fruit Bunches (FFBS) with Computer Vision Models In: 2022 International Conference on Mechanical, Automation and Electrical Engineering (CMAEE). 86-91
  • KANG, CHEN WEN, HONG, CHUA MENG and MAUL, TOMAS, 2021. Towards data-free gating of heterogeneous pre-trained neural networks Applied Intelligence. 1-12
  • VERGHESE, SHEENA LEEZA, LIAO, IMAN YI, MAUL, TOMAS H and CHONG, SIANG YEW, 2021. An Empirical Study of Several Information Theoretic Based Feature Extraction Methods for Classifying High Dimensional Low Sample Size Data IEEE Access. 9, 69157-69172
  • KASRA BABAEI, ZHIYUAN CHEN and TOMAS MAUL, 2021. AEGR: a simple approach to gradient reversal in autoencoders for network anomaly detection Soft Computing. 25, 15269–15280
  • SENG, GOH HOWE, MAUL, TOMAS and KAPADNIS, MANAV NITIN, 2021. Compositional Committees of Tiny Networks In: International Conference on Neural Information Processing. 389-396
  • WANI, DUHITA and MAUL, TOMAS, 2021. Image Super-Resolution for Arthropod Identification In: 2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021). 317-324
  • LAI, WENG KIN, MAUL, TOMAS, LIAO, IMAN YI and GOH, KAM MENG, 2021. Artificial Intelligence and Computer Vision-A Match Made in Heaven? The Journal of The Institution of Engineers, Malaysia. 82(1),
  • BABAEI, KASRA, CHEN, ZHIYUAN and MAUL, TOMAS, 2020. A Study of Fraud Types, Challenges and Detection Approaches in Telecommunication Journal of Information Systems and Telecommunication (JIST). 4(28), 248
  • AMER, MOHAMMED and MAUL, TOMÁS, 2020. Path capsule networks Neural Processing Letters. 52, 545-559
  • SAN WONG, WENG, AMER, MOHAMMED, MAUL, TOMAS, LIAO, IMAN YI and AHMED, AMR, 2020. Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification In: International Conference on Soft Computing and Data Mining. 392-402
  • AMER, MOHAMMED and MAUL, TOMÁS, 2019. A review of modularization techniques in artificial neural networks Artificial Intelligence Review. 52(1), 527-561
  • GOH, KAM MENG, SHEIKH, USMAN ULLAH and MAUL, TOMÁS H, 2019. Recognizing hidden emotions from difference image using mean local mapped pattern Multimedia Tools and Applications. 78(15), 21485-21520
  • GHAFFAR, MAA, MCKINSTRY, A, MAUL, T and VU, TT, 2019. DATA AUGMENTATION APPROACHES FOR SATELLITE IMAGE SUPER-RESOLUTION. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences. 4,
  • WICKRAMASINGHE, DC, VU, TT and MAUL, T, 2018. Satellite remote-sensing monitoring of a railway construction project International Journal of Remote Sensing. 39(6), 1754-1769
  • PHAN, KIEN TUONG, MAUL, TOMAS HENRIQUE, VU, TUONG THUY and LAI, WENG KIN, 2018. Dropcircuit: a modular regularizer for parallel circuit networks Neural Processing Letters. 47(3), 841-858
  • PHAN, KIEN TUONG, MAUL, TOMAS HENRIQUE and VU, TUONG THUY, 2017. An empirical study on improving the speed and generalization of neural networks using a parallel circuit approach International Journal of Parallel Programming. 45(4), 780-796
  • GHAFFAR, MAA, VU, TT and MAUL, TH, 2017. MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 42,
  • MAUL, TOMAS H., 2016. Improving Neuroevolution with Complementarity-Based Selection Operators NEURAL PROCESSING LETTERS. 44(3), 887-911
  • TURCSANY, DIANA, BARGIELA, ANDRZEJ and MAUL, TOMAS, 2016. Local receptive field constrained deep networks INFORMATION SCIENCES. 349, 229-247
  • GHAFFAR, MAA, VU, TT and MAUL, T, 2016. An Integrated Cloud-Based Framework for Remote Sensing Data Processing. International Journal of Geoinformatics. 12(2),
  • PHAN, KIEN TUONG, MAUL, TOMAS HENRIQUE, VU, TUONG THUY and LAI, WENG KIN, 2016. Improving Neural Network Generalization by Combining Parallel Circuits with Dropout In: International Conference on Neural Information Processing. 572-580
  • RAJESWARI RAJU, TOMAS MAUL and ANDRZEJ BARGIELA, 2015. New image processing pipelines for membrane detection Journal of the Institute of Industrial Applications Engineers. 3(1), 15-23
  • ADAMU, A., MAUL, T., BARGIELA, A. and ROADKNIGHT, C., 2015. Preliminary Experiments with Ensembles of Neurally Diverse Artificial Neural Networks for Pattern Recognition In: 11th International Conference on Computing and Information Technology (IC2IT). 361. 85-96
  • KIEN TUONG PHAN, MAUL, TOMAS HENRIQUE and TUONG THUY VU, 2015. A Parallel Circuit Approach for Improving the Speed and Generalization Properties of Neural Networks 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC). 1-7
  • WENG KIN LAI, BOON KHENG YEAP, LI LI LIM and TOMAS HENRIQUE MAUL, 2014. Analysis of artificially illuminated static indoor scenes In: Fifth International Conference on Graphic and Image Processing (ICGIP 2013).
  • ADAMU, A. S., MAUL, T.H. and BARGIELA, A., 2014. Assessing the feasibility of approximating higher-order problem signatures in Artificial Neural Networks with hybrid transfer functions International Journal of Computer Science Issues. 11(2),
  • SIM, O., MAUL, T.H. and ROADKNIGHT, C., 2014. A Comparison of Architectural Constraints for Feedforward Neural Diversity Machines In: The Fourth International Conference on Digital Information Processing and Communications (ICDIPC2014). 17-22
  • TURCSANY, D., BARGIELA, A. and MAUL, T.H., 2014. Modelling retinal feature detection with deep belief networks in a simulated environment In: 28th European Conference on Modelling and Simulation (ECMS 2014).
  • MAUL, T.H., BARGIELA, A., CHONG, S.Y. and ADAMU, A.S., 2014. Towards Evolutionary Deep Neural Networks In: In 28th European Conference on Modelling and Simulation (ECMS 2014).
  • ADAMU, A.S., MAUL, T.H. and BARGIELA, A., 2014. Efficient Learning by Coevolution of Neurally Diverse Artificial Neural Networks In: IEEE Symposium on Computers and Informatics.
  • RAJU, R., MAUL, T. and BARGIELA, A., 2014. Enhance it before you lose it In: 2nd International Conference on Intelligent Systems and Image Processing.
  • WENG KIN LAI, LI LI LIM and TOMAS H. MAUL, 2014. Illumination Analysis of Inactive Indoor Scenes with the Discrete Fourier Transform of Structural Distortions International Journal of Signal Processing Systems. 2(1), 12-16
  • MAUL, T., BARGIELA, A., YAN, Y., GAO, N. and FOSS, A., 2013. Simulation Modelling Study of Self-Assembled Nanoparticle Coatings for Retinal Implants Journal of Bionic Engineering. 10(1), 65–76
  • TOMAS MAUL, 2013. Early experiments with neural diversity machines Neurocomputing. 113, 36–48
  • TAN SHERN SHIOU and TOMAS HENRIQUE MAUL, 2013. Measuring the Performance of Visual to Auditory Information Conversion PLOS ONE.
  • KIEN, T.T., MAUL, T., REN, L.J. and BARGIELA, A., 2012. Outer Plexiform Layer Receptive Fields As Underlying Factors Of The Hermann Grid Illusion. In: IECBES-2012, IEEE-EMBS International Conference on Biomedical Engineering and Sciences.
  • KIEN, T.T., MAUL, T.H. and BARGIELA, A., 2012. A Review of Retinal Prosthesis Approaches. In: International Journal of Modern Physics: Conference Series 9.
  • MAUL T, BARGIELA A and REN L.J., 2011. Cybernetics of Vision Systems: Towards an Understanding of Putative Functions of the Outer Retina IEEE Transactions on Man and Cybernetics, Part A: Systems and Humans. 41(3), 398-409
  • MAUL, T.H., BARGIELA, A., YAN, Y. and GAO, N., 2011. Simulation Modelling of Nanoparticle Assemblies Formed by Spray Deposition In: 25th European Conference on Modelling and Simulation. 254-260
  • MAUL, T.H. & BABA, S., 2011. Unsupervised Learning in Second-Order Neural Networks for Motion Analysis Neurocomputing. 74(6), 884-895
  • MAUL, T.H, BARGIELA, A and REN, L.J., 2010. A Neuroalgorithmic Investigation of the Outer Retina In: 24th European Conference on Modelling and Simulation ECMS2010. 344-349
  • TAN, S.S, MAUL, T.H and MENNIE, N.R. & MITCHELL, 2010. P. Swiping with Luminophonics In: IEEE International Conference on Cybernetics and Intelligent Systems.
  • MAUL, T.H. & BABA, S., 2009. Neural Clustering of Correspondences for Visual Pose Estimation In: 23rd European Conference on Modelling and Simulation, Madrid. (In Press.)
  • SAMUDIN N, MOHD ISA W.N and MAUL T.H. & LAI W.K., 2009. Analysis of Gait Features between Loaded and Normal Gait In: The 5th International Conference on Signal-Image Technology & Internet-Based Systems. (In Press.)
  • MAUL, T.H., 2008. Artificial Intelligence in Industry: an Example from the Centre for Advanced Informatics, MIMOS Bhd. At: Artificial Intelligence Society of the University Technology MARA, Malaysia (In Press.)
  • AL-DEEN, A.A.B & MAUL, T.H., 2008. Scale Adaptive Local Illumination Normalization In: 5th International Conference on Innovations in Information Technology. (In Press.)
  • AL-DEEN, A.B, LOY, C.C, KADIM, Z, LAI, W.K, MAUL, T.H, LIANG, K.M and TAN, C.P., 2008. Method to Detect Abnormal Events for Wide View Video Images Patent Registration Office, Malaysia 01/01/1900 00:00:00 (In Press.)
  • NG, E.L, MAUL, T.H., LIM, M.K and LAI, W.K., 2008. Investigations into Particle Swarm Optimization for Multi-Class Shape Recognition In: International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly.
  • LAI, W.K, MAUL, T.H and LOY, C.C. & LEE, Y.Y., 2008. Informatics in Agricultural Planning, Management and Production Oil Palm Bulletin. 57, 17-26 (In Press.)
  • MAUL, T.H., 2008. Adaptive Scale Local Illumination Normalization for Image Correction Patent Registration Office, Malaysia 01/01/1900 00:00:00 (In Press.)
  • LAI, W.K, MAUL, T.H and LOY, C.C. & LEE, Y.Y., 2007. Informatics in Agriculture: Issues and Opportunities In: MPOB International Palm Oil Congress (PIPOC 2007), Kuala Lumpur. 324—340 (In Press.)
  • MAUL, T.H., 2007. Computational Neuroscience and Medicine At: Medical Faculty, University Malaya, Malaysia. (In Press.)
  • MAUL, T.H. & NG, C.E., 2007. A Comparison of Two Background Estimation Approaches In: MIMOS R&D Symposium, Kuala Lumpur. (In Press.)
  • MAUL, T.H and BABA, S. & YUSOF, A., 2007. Structural Optimization of Second Order Neural Networks for Pose Estima-tion In: International Conference on Robotics, Vision, Information and Signal Processing, Penang. (In Press.)
  • MAUL, T.H., 2007. A Multiple Object Symmetry Axis Extractor Patent Registration Office, Malaysia 01/01/1900 00:00:00 (In Press.)
  • MAUL, T.H., 2007. An Automated Cot Surveillance System Patent Registration Office, Malaysia 01/01/1900 00:00:00 (In Press.)
  • LAI, W.K. & MAUL, T.H., 2007. System and Method for Authenticating Image Liveness Patent Registration 01/01/1900 00:00:00 (In Press.)
  • MAUL, T.H., 2006. Conjunctions in Biological Neural Architectures for Visual Pose Estimation. At: Faculty of Computer Science and Information Technology,University Malaya,Malaysia (In Press.)
  • MAUL, T, BABA, S and AND YUSOF, A., 2005. Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation. Lecture Notes in Computer Science (LNCS 3610) In: Advances in Natural Computation, 1st International Conference, ICNC 2005,Springer.. 893 – 902 (In Press.)

IMA Group

The University of Nottingham
School of Computer Science, Jubilee Campus
Nottingham, NG8 1BB


telephone: +44 (0) 115 951 4719
email:ima@nottingham.ac.uk