Dr Faiyaz Doctor

Karthikeyan, S., Garcia Seco De Herrera, A., Doctor, F. and Mirza, A., (2022). An OCR Post-correction Approach using Deep Learning for Processing Medical Reports. IEEE Transactions on Circuits and Systems for Video Technology. 32 (5), 2574-2581

Doctor, F., Budd, T., Williams, PD., Prescott, M. and Iqbal, R., (2022). Modelling the effect of electric aircraft on airport operations and infrastructure. Technological Forecasting and Social Change. 177, 121553-121553

Khan, M., Obaidat, MS., Hussain, T., Del Ser, J., Kumar, N., Tanveer, M. and Doctor, F., (2021). Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. ACM Computing Surveys. 54 (3), 1-33

Maniak, T., Iqbal, R. and Doctor, F., (2021). Hierarchical spatial-temporal state machine for vehicle instrument cluster manufacturing. IEEE Transactions on Intelligent Transportation Systems. 22 (7), 4131-4140

Kiziltepe, RS., Sweeney, L., Constantin, MG., Doctor, F., García Seco de Herrera, A., Demarty, C-H., Healy, G., Ionescu, B. and Smeaton, AF., (2021). An annotated video dataset for computing video memorability. Data in Brief. 39, 107671-107671

Iqbal, R., Doctor, F., More, B., Mahmud, S. and Yousuf, U., (2020). Big Data analytics and Computational Intelligence for Cyber Physical Systems: Recent trends and state of the art applications. Future Generation Computer Systems. 105, 766-778

Iqbal, R., Doctor, F., More, B., Mahmud, S. and Yousuf, U., (2020). Big data analytics: Computational intelligence techniques and application areas. Technological Forecasting and Social Change. 153, 119253-119253

Wei, Z-X., Doctor, F., Liu, Y-X., Fan, S-Z. and Shieh, J-S., (2020). An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS. IEEE Transactions on Fuzzy Systems. 28 (6), 1062-1072

Iqbal, R., Maniak, T., Doctor, F. and Karyotis, C., (2019). Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches. IEEE Transactions on Industrial Informatics. 15 (5), 3077-3084

Goudarzi, S., Anisi, MH., Kama, N., Doctor, F., Soleymani, SA. and Sangaiah, AK., (2019). Predictive modelling of building energy consumption based on a hybrid nature-inspired optimization algorithm. Energy and Buildings. 196, 83-93

Karyotis, C., Doctor, F., Iqbal, R., James, A. and Chang, V., (2018). A fuzzy computational model of emotion for cloud based sentiment analysis. Information Sciences. 433-434, 448-463

Birek, L., Grzywaczewski, A., Iqbal, R., Doctor, F. and Chang, V., (2018). A novel Big Data analytics and intelligent technique to predict driver's intent. Computers in Industry. 99, 226-240

Yu, Y-N., Doctor, F., Fan, S-Z. and Shieh, J-S., (2018). An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure.. Journal of Medical Systems. 42 (5), 95-

Liu, G., Liu, S., Muhammad, K., Sangaiah, AK. and Doctor, F., (2018). Object Tracking in Vary Lighting Conditions for Fog based Intelligent Surveillance of Public Spaces. IEEE Access. 6, 29283-29296

Navarro, J., Doctor, F., Zamudio, V., Iqbal, R., Sangaiah, AK. and Lino, C., (2018). Fuzzy adaptive cognitive stimulation therapy generation for Alzheimer’s sufferers: Towards a pervasive dementia care monitoring platform. Future Generation Computer Systems. 88, 479-490

Navarro, J., Doctor, F., Zamudio, V., Iqbal, R., Sangaiah, AK. and Lino, C., (2018). Corrigendum to “Fuzzy adaptive cognitive stimulation therapy generation for Alzheimer’s sufferers: Towards a pervasive dementia care monitoring platform” [Future Gener. Comput. Syst. 88 (2018) 479–490]. Future Generation Computer Systems. 88, 730-731

Goudarzi, S., Kama, MN., Anisi, MH., Soleymani, SA. and Doctor, F., (2018). Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles. Sensors. 18 (10), 3459-3459

Doctor, F., Galvan-Lopez, E. and Tsang, E., (2018). Guest Editorial Special Issue on Data-Driven Computational Intelligence for e-Governance, Socio-Political, and Economic Systems. IEEE Transactions on Emerging Topics in Computational Intelligence. 2 (3), 171-173

Alhabashneh, O., Iqbal, R., Doctor, F. and James, A., (2017). Fuzzy rule based profiling approach for enterprise information seeking and retrieval. Information Sciences. 394-395, 18-37

Iqbal, R., Grzywaczewski, A., Halloran, J., Doctor, F. and Iqbal, K., (2017). Design implications for task-specific search utilities for retrieval and re-engineering of code. Enterprise Information Systems. 11 (5), 738-757

Qureshi, FF., Iqbal, R., Qasim, M., Doctor, F. and Chang, V., (2017). Integration of OMNI channels and machine learning with smart technologies. Journal of Ambient Intelligence and Humanized Computing, 1-17

Akuma, S., Iqbal, R., Jayne, C. and Doctor, F., (2016). Comparative analysis of relevance feedback methods based on two user studies. Computers in Human Behavior. 60, 138-146

Mahmud, S., Iqbal, R. and Doctor, F., (2016). Cloud enabled data analytics and visualization framework for health-shocks prediction. Future Generation Computer Systems. 65, 169-181

Doctor, F., Syue, C-H., Liu, Y-X., Shieh, J-S. and Iqbal, R., (2016). Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia. Applied Soft Computing. 38, 872-889

Maniak, T., Jayne, C., Iqbal, R. and Doctor, F., (2015). Automated intelligent system for sound signalling device quality assurance. Information Sciences. 294, 600-611

Doctor, F., Iqbal, R. and Zamudio, V., (2015). Introduction to the thematic issue on Affect Aware Ubiquitious Computing. Journal of Ambient Intelligence and Smart Environments. 7 (1), 3-4

Shih, M-T., Doctor, F., Fan, S-Z., Jen, K-K. and Shieh, J-S., (2015). Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia. Entropy. 17 (3), 928-949

Echanobe, J., del Campo, I., Basterretxea, K., Martinez, MV. and Doctor, F., (2014). An FPGA-based multiprocessor-architecture for intelligent environments. Microprocessors and Microsystems. 38 (7), 730-740

Akuma, S., Jayne, C., Iqbal, R. and Doctor, F., (2014). Implicit Predictive Indicators: Mouse Activity and Dwell Time. IFIP Advances in Information and Communication Technology. 436, 162-171

Liu, Y-X., Doctor, F., Fan, S-Z. and Shieh, J-S., (2014). Performance Analysis of Extracted Rule-Base Multivariable Type-2 Self-Organizing Fuzzy Logic Controller Applied to Anesthesia. BioMed Research International. 2014, 1-19

Iqbal, R., Doctor, F., Shah, N. and Fei, X., (2014). An intelligent framework for activity led learning in network planning and management. International Journal of Communication Networks and Distributed Systems. 12 (4), 401-401

Doctor, F., Iqbal, R. and Naguib, RNG., (2014). A fuzzy ambient intelligent agents approach for monitoring disease progression of dementia patients. Journal of Ambient Intelligence and Humanized Computing. 5 (1), 147-158

del Campo, I., del Campo, I., Basterretxea, K., Echanobe, J., Bosque, G. and Doctor, F., (2012). A system-on-chip development of a neuro-fuzzy embedded agent for ambient-intelligence environments.. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. 42 (2), 501-512

Leon, E., Clarke, G., Callaghan, V. and Doctor, F., (2010). Affect-aware behaviour modelling and control inside an intelligent environment. Pervasive and Mobile Computing. 6 (5), 559-574

Hagras, H., Doctor, F., Callaghan, V. and Lopez, A., (2007). An Incremental Adaptive Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments. IEEE Transactions on Fuzzy Systems. 15 (1), 41-55

Doctor, F., Hagras, H. and Callaghan, V., (2005). A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environments. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 35 (1), 55-65

DOCTOR, F., HAGRAS, H. and CALLAGHAN, V., (2005). A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments. Information Sciences. 171 (4), 309-334

Callaghan, V., Clarke, G., Colley, M., Hagras, H., Chin, JSY. and Doctor, F., (2004). Inhabited Intelligent Environments. BT Technology Journal. 22 (3), 233-247

Aloupogianni, E., Karyotis, C., Maniak, T., Iqbal, R., Passas, N., Doctor, F. and Vujicic, Z., (2024). AI-Driven Optimization of Small Cell Deployment for Beyond 5G Networks

Lee, S., Doctor, F., Anisi, MH., Goud, S., Wang, X. and Ruthven, S., (2024). AI Driven Streamlining of Appliance Load Monitoring in Facilities Management

Kattan, A. and Doctor, F., (2023). Genetic Programming Lifelong Multitasking Evolution: LLGP-Tasking

Bäck, T., Van Stein, B., Wagner, C., Garibaldi, J., Lam, HK., Cottrell, M., Doctor, F., Filipe, J., Warwick, K. and Kacprzyk, J., (2022). FOREWORD

Maniak, T., Iqbal, R., Vujicic, Z., Karyotis, C., Passas, N. and Doctor, F., (2022). Deep Neural Networks for Transmission Impairment Mitigation in Long-Reach 5G Access Networks

de los Angeles Arellano Vera, M., Rodriguez, VMZ., Hernandez, DAG., Ramirez, CL., Doctor, F., Lelevier, CL. and Barron, FJN., (2021). Design of a Smart Device with Fuzzy Multi-criteria Group Decision Making System for The Elderly

Yang, CX., Doctor, F., Anisi, MH., Khosravi, M., Parry, I. and Wegrzyn, P., (2020). Asset Operation Detection Based on Fuzzy Logic and Phase Portrait

Ronquillo, L., Zamudio, V., Gutierrez-Hernandez, D., Lino, C., Navarro, J. and Doctor, F., (2020). Towards an automatic recommendation system to well-being for elderly based on augmented reality

de los Angeles Arellano Vera, M., Rodriguez, VMZ., Ramirez, CL., Hernandez, DAG., Doctor, F. and Lelevier, CL., (2020). Design and Implementation of a Embedded Fuzzy Multi-criteria Group Decision Making System for Wellbeing, Health and Security

Pule, KE., Anisi, MH., Doctor, F. and Hagras, H., (2020). Multiple UAV based Spatio-Temporal Task Assignment using Fast Elitist Multi Objective Evolutionary Approaches

Garcia Seco De Herrera, A., Savran Kiziltepe, R., Chamberlain, J., Constantin, MG., Claire-Hélène, D., Doctor, F., Ionescu, B. and Smeaton, AF., (2020). Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable?

Kattan, A., Doctor, F., Ong, Y-S. and Agapitos, A., (2020). Genetic Programming Multitasking

Leyva, R., Doctor, F., Garcia Seco De Herrera, A. and Sahab, S., (2019). Multimodal Deep Features Fusion For Video Memorability Prediction

Karyotis, C., Maniak, T., Doctor, F., Iqbal, R., Palade, V. and Tang, R., (2019). Deep Learning for Flood Forecasting and Monitoring in Urban Environments

Alves, D., Doctor, F., Iqbal, R. and Kattan, A., (2019). A Soft Computing Methodology based on Fuzzy Measures and Integrals for Ranking Workers Informing Labour Hiring Policies

Manriquez Santos, JJ., Zamudio Rodriguez, VM., Lino Ramirez, C., Barron, JN., Baltazar, R., Gutierrez Hernandez, DA. and Doctor, F., (2018). Towards an Innovative Architecture to Monitor and Handle Emotions in Work Scenarios

Cruz-Parada, P., Zamudio, V., Navarro, J., Doctor, F., Lino, C., Gutierrez-Hernandez, D. and Baltazar, R., (2018). Identification and Analysis of Emotions in a Game Based Therapy for Patients with Cognitive Impairment

Maniak, T., Iqbal, R. and Doctor, F., (2017). Traffic modelling, visualisation and prediction for urban mobility management

Farsi, AA., Doctor, F., Petrovic, D., Chandran, S. and Karyotis, C., (2017). Interval valued data enhanced fuzzy cognitive maps: Torwards an appraoch for Autism deduction in Toddlers

Doctor, F., Karyotis, C., Iqbal, R. and James, A., (2016). An intelligent framework for emotion aware e-healthcare support systems

Karyotis, C., Doctor, F., Iqbal, R., James, A. and Chang, V., (2016). A Fuzzy Modelling Approach of Emotion for Affective Computing Systems

Karyotis, C., Doctor, F., Iqbal, R. and James, A., (2015). An intelligent framework for monitoring students Affective Trajectories using adaptive fuzzy systems

Alhabashneh, O., Iqbal, R., Doctor, F. and Amin, S., (2015). Adaptive information retrieval system based on fuzzy profiling

Kattan, A., Doctor, F. and Arif, M., (2015). Two Brains Guided Interactive Evolution

Liu, Y-X., Shieh, J-S., Fan, S-Z., Doctor, F. and Jen, K-K., (2015). Genetic type-2 self-organising fuzzy logic controller applied to anaesthesia

Akuma, S., Jayne, C., Iqbal, R. and Doctor, F., (2015). Inferring Users’ Interest on Web Documents Through Their Implicit Behaviour

Pacheco Salinas, JA., Zamudio, V., Casillas, M., Lino, C., Baltazar, R., Callaghan, V. and Doctor, F., (2014). Towards the Minimization of Cyclic Instability Using Embedded Algorithms

del Campo, I., Finker, R., Martinez, MV., Echanobe, J. and Doctor, F., (2014). A real-time driver identification system based on artificial neural networks and cepstral analysis

Liu, Y-X., Shieh, J-S., Doctor, F., Fan, S-Z. and Jen, K-K., (2013). Multivariable Type-2 Self-Organizing Fuzzy Logic Controllers for Regulating Anesthesia with Rule Base Extraction

Maniak, T., Iqbal, R., Doctor, F. and Jayne, C., (2013). Automated Sound Signalling Device Quality Assurance Tool for Embedded Industrial Control Applications

Finker, R., del Campo, I., Echanobe, J. and Doctor, F., (2013). Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs

Iqbal, R., Doctor, F., Romero, M. and James, A., (2013). Activity-led learning approach and group performance analysis using fuzzy rule-based classification model

Doctor, F., Jayne, C. and Iqbal, R., (2012). Ambient Intelligent Monitoring of Dementia Suffers Using Unsupervised Neural Networks and Weighted Rule Based Summarisation

Doctor, F. and Iqbal, R., (2012). An intelligent framework for monitoring student performance using fuzzy rule-based Linguistic Summarisation

del Campo, I., Victoria Martinez, M., Echanobe, J., Basterretxea, K. and Doctor, F., (2012). A hardware/software embedded agent for real-time control of ambient-intelligence environments

Iqbal, R., Grzywaczewski, A., James, A., Doctor, F. and Halloran, J., (2012). Investigating the value of retention actions as a source of relevance information in the software development environment

Iqbal, R., Shah, N., Doctor, F., James, A. and Cichowicz, T., (2012). Integration, optimization and usability of enterprise applications

Doctor, F., Naguib, RNG. and Iqbal, R., (2011). A Neuro-Fuzzy Approach for Identifying Practice Variations Based on Modelling Relationships between Clinical Variables and Treatment Decisions

Doctor, F., Hagras, H., Roberts, D. and Callaghan, V., (2009). A neuro-fuzzy based agent for group decision support in applicant ranking within human resources systems

Doctor, F., Hagras, H., Roberts, D. and Callaghan, V., (2009). A fuzzy based agent for group decision support of applicants ranking within recruitment systems

Doctor, F., Hagras, H., Roberts, D. and Callaghan, V., (2008). A type-2 fuzzy based system for handling the uncertainties in group decisions for ranking job applicants within Human Resources systems

Hagras, H., Packharn, I., Vanderstockt, Y., McNulty, N., Vadher, A. and Doctor, F., (2008). An intelligent agent based approach for energy management in commercial buildings

Doctor, F., Hagras, H. and Callaghan, V., (2006). Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments

Hagras, H., Doctor, F., Lopez, A. and Callaghan, V., (2006). Evolving Type-2 Fuzzy Agents for Ambient Intelligent Environments

Lopez, A., Alvarez, D., Doctor, F., Hagras, H. and Callaghan, V., (2005). A comparison of some data-based methods for the off-line generation of fuzzy logic controllers for an intelligent building environment

Doctor, F., Hagras, H., Callaghan, V. and Lopez, A., (2004). An adaptive fuzzy learning mechanism for intelligent agents in ubiquitous computing environments

Doctor, F., Hagras, H. and Callaghan, V., (2004). A type-2 fuzzy embedded agent for ubiquitous computing environments

Lopez, A., Sanchez, L., Doctor, F., Hagras, H. and Callaghan, V., (2004). An evolutionary algorithm for the off-line data driven generation of fuzzy controllers for intelligent buildings