• Jun. 2020
    KTP Associate Geodata Analysis Software Developer recruitment for Innovate UK funded project in partnership with Cathie Group.
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    Submission deadline: 16 Nov, 2020.
  • Jun. 2020
    Lead guest editor for special issue: Fuzzy inference, neuro-fuzzy, and emerging fuzzy hybridization systems (or Neuro, fuzzy and their Hybridization for short) at Neural Computing and Applications (IF = 4.664).
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    Application deadline: 16 November, 2020.
  • Jun. 2020
    Invited talk "AI for Cybersecurity" in the 6th International Conference on Big Data in Cyber Security, Edinburgh, 2020
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    RBS Conference Centre, Edinburgh, UK, 2020.
  • May 2020
    External PhD Examiner at Manchester University - my 8th external PhD examination.
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    Manchester University, UK, June, 2020.
  • Apr. 2020
    External Reviewer for Departmental Pg programme periodic review at Nottingham Trent University.
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    Nottingham Trent University, UK, April, 2020.
  • Apr. 2020
    Zheming Zuo (Principal supervisor) Successfully defended his thesis. Many congratulations, Dr. Zuo! He published 11 papers, and won one IEEE CIS Outstanding Student Paper Travel Grant.
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    Northumbria University, UK, 25 April. 2019
  • Feb. 2020
    Invited talk at the International Workshop and Seminar on Artificial Immune Systems at the Max Planck Institute in Dresden, Germany, June 10-12th, 2021 (postponed from 2020 due to COVID-19)
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    the Max Planck Institute in Dresden, Germany, 2021.
  • Dec. 2019
    A paper accepted for publication at IEEE Transactions on Industrial Informatics.
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    Dec, 2019
  • Sep. 2019
    Our Knowledge Transfer Project is fully funeded by the Economic and Social Research Council
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    Sep, 2019
  • Jun. 2019
    Northumbria is recognised as one of the 19 Academic Centres of Excellence in Cyber Security sponsored by the National Cyber Security Centre and the Engineering and Physical Sciences Research Council.
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    Jun, 2019
  • May 2019
    RAEng Visiting Industrial Professor Award - Practical Cybersecurity insights for Computer Science Students – Dr Phil Brooke -£27,768.64 (Co-I, with PI Dr. Tom Prickett)
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    May, 2019
  • Apr. 2019
    Our Knowledge Transfer Project with Northern Engineering Solution Limited is approved by Innovate UK!
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    Apr., 2019
  • Apr. 2019
    Yao Tan (Principal supervisor) Successfully defended his thesis. Many congratulations, Dr. Tan! He published 4 papers, won one IEEE CIS Outstanding Student Paper Travel Grant, with one best paper nomination.
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    Northumbria University, UK, 25 April. 2019
  • May 2019
    A paper accepted for publication at IEEE Transactions on Cybernetics (IF=8.803)
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    A paper "Type-2 Fuzzy Hybrid Controller Network for Robotic Systems" has been accepted for publication at IEEE Transactions on Cybernetics.
  • Apr. 2019
    IEEE Computational Intelligence Society (CIS) Outstanding Student Paper Travel Grants Award
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    A paper titled "Adaptive Activation Function Generation for Artificial Neural Networks through Fuzzy Inference with Application in Grooming Text Categorisation" has been awarded IEEE CIS Outstanding Student Paper Travel Grant. This travel grant will support Mr. Zheming Zuo to attend FUZZ-IEEE 2019 in the USA.
  • Sep. 2018
    Jie Li (Principal supervisor) Successfully defended his thesis. Many congratulations, Dr. Li! He published 13 papers, won two best paper awards, and two IEEE CIS Outstanding Student Paper Travel Grants.
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    Northumbria University, UK, 29 Sep. 2018
  • Sep. 2018
    Best Paper Award at the 18th UKCI
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    Nottingham Trent University, 5-7 September 2018
  • Sep. 2018
    Successfully organised CloudComp 2018 and BMVC 2018
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    Exeter, 4 September 2018 and Newcastle, 3-6 September 2018
  • July. 2018
    Successfully organised the Cyber Security special session (with 9 papers published) at WCCI 2018, and visited Campinas University, Sao Paulo, Brizal
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    7-19 July, 2018 image
  • May 2018
    The first CIS Workshop on Digital Forensics and Cyber Security
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    Two guests: Prof. Prashant Pillai, Professor in Cyber Security, Wolverampton University
    Dr. Nitin Naik, Reader in Cyber Security and Big Data, DSCIS, Ministry of Defence
  • May 2018
    The kick-off meeting in Thailand for the RAE Cyber Security project (UNN, MFL, MoD UK, MoD Thai, Thai Royal Air Force, T-Net)
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    This project is formed by 80% of research and 20% fo teaching. In addition to vairous meetings, experiments and discussions regarding research, a workshop on Padegogic research and teaching collaboration was also held. Chiang Rai, Thailand, 21-25 May, 2018 image
  • May 2018
    Nominated Student-Led Teaching Award
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    Student Union, Northumbria University, 18 May, 2018 image
  • Apr. 2018
    Invited talk at Xiamen University, China
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    School of Management, Xiamen University, China; 9 April, 2018.
  • Apr. 2018
    Invited talk at Wuhan University of Science and Technology, China
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    Wuhan University of Science and Technology, China; 2 April, 2018.
  • Mar. 2018
    RAE Cyber Security project is awarded (PI, £50,000), titled "Anomaly traffic identification through artificial intelligence, cyber security and big data analytics technologies", with partners including Northumbira Universtiy (UK PI), MFL University (Thailand PI), Ministry of Defence UK, Ministry of Defence Thailand, Thai Royal Air Force, and T-Net Co. Ltd Thailand
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    March, 2018
  • Mar. 2018
    General Chair of The 8th EAI International Conference on Cloud Computing, which will be hosted at Northumbria University
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    Exeter, UK, 4 September, 2018
  • Jan. 2018
    Guest Editor of Multimedia Tools and Applicatiosn for special issue on “Soft computing Techniques and Applications for Intelligent Multimedia Systems”
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    AIMS & SCOPE: In the recent times, the rapid development of social networks and multimedia technologies has delivered high Quality of Experience to the users globally. However, with the massive increase in the number of social network users, the demands for the sharing and exchange of multimedia content between users are ever-increasing. Therefore, the huge need for the research on multimedia analytics and development of efficient approaches to handle online multimedia content is high. Multimedia is increasingly becoming the most important and valuable source of insights and information from social networks, and it covers from everyone’s experiences to everything happening in the world. The huge volume of multimedia big data from social networks makes the traditional multimedia handling systems inefficient and spurs towards the development of new technologies for handling multimedia big data.

    Soft computing techniques are delivering promising solutions to the complex research problems and make innovations at a rapid pace. As soft computing differs from traditional computing approaches, it is tolerant towards uncertainty, imprecision, and approximation. Inspired by the human mind model, soft computing is applied to the various research problems and has been proven to be proficient with the experimental performances. This special Issue will report the recent increasing interests in the design and development of Soft computing techniques for various applications of intelligent multimedia systems. Moreover, the authors are expected to investigate state-of-art research issues, architectures, applications and achievements in the field of multimedia big data. Unpublished innovative papers which are not currently under review to another journal or conference are solicited in the following relevant areas.
  • Jan. 2018
    Invited talk at the Department of Computer Science and Technology, University of Bedfordshire
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    Title: Fuzzy Rule Interpolation Systems
    Time: 13:00-14:00, Wednesday, 17 January, 2018
    Venue: Department of Computer Science and Technology, University of Bedfordshire, UK
  • Dec. 2017
    Principle academic investigator of the research innovation project collaborated with Shoes2Run Limited, funded by Creative Fuse North East.
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    Being the prinical academic investigator, our collaborator Shoes2Rune Limited has been awarded an Innovation Development Award by Creative Fuse North East twoards the development of wearable technology, Artificial Intelligence System and Big Data capability. This is a joint project between Shoes2Run, Northumbria University and Sunderland University.
  • Dec. 2017
    Invited talk at the School of Computing, the University of Portsmouth
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    Title: Fuzzy Rule Interpolation Systems
    Time: 16:00-17:00, Wednesday, 13 Dec, 2017
    Venue: School of Computing, University of Portsmouth, UK
  • Oct. 2017
    Leading Chair of Special Session "Fuzzy Logic Systems for Cyber Security and Forensics" in the 2018 World Congress on Computational Intelligence. Please click here for more information. For a quick short version of the special session, please click here
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    Computational Intelligence has taken the centre of the research in cyber security and digital forensics. As one of the three most important parts in Computational Intelligence, fuzzy logic has been successfully applied in many applications in this field. Thanks to its ability to provide human comprehensible solutions to cyber security and digital forensics problems under uncertainty environment and also to the fuzziness of security and forensics problems themselves, fuzzy logic is expected to have a more significant impact in such field.
    The aim of this special session is to provide a forum: (1) to disseminate and discuss the advances and significant research efforts in the field of fuzzy logic systems, security and forensics, (2) to promote both theoretical development and practical applications of fuzzy logic systems in the field of security, privacy and forensics, (3) to foster the integration of communities from academic, industry, and other organisations who have been working in the field of fuzzy logic, security and forensics.
  • Sep. 2017
    Guest Editor for special issue of Healthcare System Innovation in Applied System Innovation. Please click here for more information.
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    Healthcare is undergoing a sector-wide transformation thanks to technological innovations. We anticipate significant improvements in areas ranging from decision support for healthcare professionals through big data analytics to supporting behavior changes through technology-enabled self-management, as well as social and motivational support. Furthermore, with cutting edge sensors and computer technologies, healthcare delivery could also yield better efficiency, higher quality and lower cost. In this Special Issue, we welcome original research, as well as review articles, in all areas of healthcare system innovation.

    Potential topics include, but are not limited to: 1. Smart healthcare system analysis and design; 2. Computer-aided methods for design procedure and manufacture of healthcare system; 3. Computer and human-machine interaction of healthcare system; 4. Internet technology on healthcare system innovation; 5. Application of IoT (Internet of Things) on healthcare system; 6. Big data and artificial intelligence enabled healthcare systems.
  • Sep. 2017
    Co-Chair of UKCI 2019
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    I made a presentation in UKCI 2017 in Cardiff and also helped to successfully bid UKCI 2019 which will be chaired by Prof. Honghai Liu and co-chaired by myself.
  • Aug. 2017
    Teaching Excellence and Innovation Award
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    I have been awareded the Teaching Excellence and Innovation fund (£500).
  • Aug. 2017
    Poster Chair of BMVC 2018. Please click here for more information.
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    I will be the Poster Chair of BMVC2018, which will be held in Newcastle 2018.
  • Jun. 2017
    IEEE Computational Intelligence Society (CIS) Outstanding Student Paper Travel Grants Award
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    A paper titled "Dynamic Qos Solution for Enterprise Networks Using TSK Fuzzy Interpolation" has been awarded IEEE CIS Outstanding Student Paper Travel Grant. This travel grant will support Jie Li to attend FUZZ-IEEE 2017 in Italy in July.
  • Mar. 2017
    Northumbria (joint) CAPEX Bids: £70,000
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    Northumbria CAPEX Bids 17-18, £70,000, 2017-2018.
  • Apr. 2017
    Founding chair of IEEE Special Interest Group of Big Data for Cyber Security and Privacy. Please click here for more information.
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    I have founded the IEEE Special Interest Group of Big Data for Cyber Security and Privacy. The five vice-chairs are from the best university from five contenients.
  • Sep. 2016
    Best UKCI2016 Paper Award issued by Springer
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    A paper titled "TSK Inference for Sparse Fuzzy Rule Bases" has been awarded the best paper award by the committee of UKCI 2016. Please click here to download the paper.
  • Jun. 2016
    A paper accpeted for publication at Fuzzy Sets and Systems (IF=2.098)
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    A paper "Closed Form Fuzzy Interpolation: An Improvement to Compositional Rule of Inference" has been accepted for publication at Fuzzy Sets and Systems with minor correction.
  • May 2016
    IEEE CIS Best Student Paper Nomination
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    A paper of year 2 students Mr Yao Tan and Mr Jie Li has been accepted by World Congress on Computational Intelligence (WCCI) 2016. This paper has been formally notimated for the Best Student Paper Award, and the final winner will be announced in Vancouver, Canada in July during the conference banquet.
  • May 2016
    A paper accepted for publication at IEEE Transactions on Fuzzy Systems (IF=6.701)
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    A paper "Generalised Adaptive Fuzzy Rule Interpolation" has been accepted for publication at IEEE Transactions on Fuzzy Systems, which has the second highest impact factor within all the journals in the field of Computer Science and Informatics, i.e., REF UoA11.
    Please click here to download the Open Access paper.
  • Apr. 2016
    Head of Department of Computer Science from Xiamen University visited Northumbria
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    The Head of Department of Computer Science Prof. Lei and his colleagues, Dr. Guo and Dr. Wang have visited us in April 2016. Potential collaboration in student exchange, research projects, and grant application have been discussed.
  • Apr. 2016
    TWO IEEE Computational Intelligence Society (CIS) Outstanding Student Paper Travel Grants Award for my year 2 PhD students
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    Two papers of year 2 students first-authored by Mr Yao Tan and Mr Jie Li have been accepted by the World Congress on Computational Intelligence (WCCI) 2016. Both students have won the IEEE CIS Outstanding Student Paper Travel Grant to support them to present their outstanding work in WCCI in Vancouver, Canda in July.
  • 2015-2016
    Research and Enterprise Reward Scheme: £2,983
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    Research and Enterprise Reward Scheme: £2,983, 2015-2016.
  • 2015-2018
    Jointly funded PhD studentship: £84,000
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    Jointly funded PhD studentship by Chengdu Yubo, China and Northumbria University, £84,000, 2015-2018.
  • 2015-2016
    Northumbria CAPEX Bids: £15,000
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    Northumbria CAPEX Bids 15-16, £15,000, 2015-2016.
  • Jan. 2015
    UK Higher Education Innovation Fund (HEIF): £3000
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    UK Higher Education Innovation Fund (HEIF) Impact Fund, PI, £3,000, 2015.
  • Apr. 2015
    The 12th Haiyue Lecture in 2015, Xiamen University
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    I visited Xiamen University and delivered the 12th open lecture for the Haiyue Lecture Series in April 2015, at Xaimen University, China. image
  • 2014-2017
    University Funded PhD Studentship: £62,000
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    A unversity funded PhD student, which covers the tuition fee and bursary for three years from 2014 to 2107.
  • 2014-2015
    Simpson Group Job Scheduling Project: £20,670
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    Simpson Group Job Scheduling Project, PI, £20,670, 2014-2015.
  • Aug. 2014
    UK Higher Education Innovation Fund (HEIF): £5,000
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    UK Higher Education Innovation Fund (HEIF), PI, £5,000, 2014.
  • 2014-2015
    Northumbria CAPEX Bids: £6,170
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    Northumbria CAPEX Bids 14-15,£6,170 , 2014-2015.
  • Apl. 2014
    Nominated Best Paper Award
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    Nominated Best Paper Award for the 22th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'14), 2014.
  • Apl. 2011
    Nominated Best Student Paper Award
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    Nominated Best Student Paper Award for the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2011.
  • Apl. 2011
    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant
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    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant for the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2011.
  • Feb. 2011
    Nominated Best Journal Paper
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    Nominated Best Journal Paper for the International Journal of Advanced Computational Intelligence and Intelligent Informatics.
  • Apr. 2010
    Best Student Paper Award
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    Best Student Paper Award of the 19th IEEE International Conference on Fuzzy Systems (FUZZIEEE), selected out of 617 submissions worldwide, and awarded at the conference banquet of the 2010 IEEE World Congress on Computational Intelligence (WCCI).
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  • Apr. 2010
    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant
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    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant for the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2010.
  • Apr. 2009
    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant
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    IEEE Computational Intelligence Society (CIS) Outstanding Student-Paper Travel Grant for the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2009.
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    SportsAid Athlete Monitoring System

    Athlete monitoring system

    Development of a new capability in digital business to grow and diversify income through design and implementation of the SportsAid Athlete Monitoring System (SAMS) to manage athlete performance, health and well-being to win new business in sport and education organisations and with individuals. Please click here to read more about this proejct.

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    AI and Big Data for Cybersecurity

    RAEng and TRF jointly funded project, collaborated with MFL University (Thailand), MoD (UK and Thailand), Thailand Royal Air Force, T-NAT company (Thailand)

    This project aims to develop a new fuzzy modelling approach using the curvature values. This PhD project is co-funded by Yobo Technology Ltd., China and the university. UK Principle Investigator: Dr. Longzhi Yang, and Thailand Principle Investigator: Dr. Tossapon Boongoen

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    Academic Centre of Excellence in Cyber Security Research

    Funded by the National Cyber Security Centre and the Engineering and Physical Sciences Research Council

    PI: Prof. Lynne Coventry, I'm one of the Co-I
    The Academic Centres of Excellence in Cyber Security Research (ACEs-CSR) scheme is sponsored through the Department for Digital, Culture, Media and Sport. It is one of a number of initiatives outlined in the UK Government's £1.9 billion National Cyber Security Strategy 2016-2021, 'Protecting and Promoting the UK in a Digital World', which outlines how Government is working with academia and industry to make the UK more resilient to cyber attacks.
    After successfully meeting the scheme’s tough requirements, Northumbria has now been recognised as an ACE-CSR. The Northumbria Cyber Security Research Group leads the University’s research across this area. This multi-disciplinary group combines technical research on biometric encryption, wireless sensor networks, web security protocols, and image recognition, with human-centred work on usable security, privacy, trust and behaviour change. The group’s work identifies both the virtual and physical risks associated with connected smart cities and complements other work ongoing at the University relating to the digital living space, which explores the intersection of people, place and technology in the digital and urban environment.

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    AI-based effluent treatment recommendation

    Collaborated with a local company in developing a digital solution for effluent treatment recommendation

    Collaborated with a local company in developing a digital solution for for effluent treatment recommendation

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    AI-based running product recommendation

    Collaborated with a local company in developing a digital solution for running product recommendation

    Collaborated with a local company in developing a digital solution for running product recommendation

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    Curvature-based Rule Base Generation for Fuzzy Modelling

    PhD project, co-funded by Yobo Technology Ltd. China and the University

    This project aims to develop an open cyber security research and practice platform. Prinicple supervisor: Dr. Longzhi Yang

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    Intelligent Home Energy Management

    PhD project, funded by the University.

    Smart meters have been partially deployed to UK homes to support consumers in managing their energy and expenditure intelligently, to help implement the CO2 emission reduction goal. However, the information from smart meters is still not enough for efficient intelligent home appliance control, as the residents’ living behaviour patterns, as well as the surrounding environments also have great influences on the control decisions for home appliances. Despite of the advance in machine learning and expert system technologies, the extraction of decision patterns based on residents’ behaviours and the surrounding environments is still of great challenge as every resident has their own living style and each dwelling has its own unique characteristics.

    Take intelligent home heating systems as an example. In order to accurately and economically control the home heating systems such that a property can always be properly pre-heated when the residents getting home whilst no energy is unnecessarily wasted on heating empty dwellings, the control system should be developed based on a well understating of the information from smart meters (such as electricity supply/demand pattern) and the residents’ living styles, and be timely updated when the supply/demand pattern or the living styles change. However, it is unrealistic for system manufacturer to collect highly personalised data and to consequently produce customised heating controllers for each household, such that the heating controller can make accurate decisions based on the residents’ unique living style in addition to the current electricity supply/demand pattern and surrounding environment.

    This research proposes an algorithm which would enable intelligent home heating system to efficiently learn the residents’ behaviour patterns associated with the information from smart maters in a dynamic and adaptive manner. Consequently, mass-production of intelligent heating controllers is allowed. In particular, these devices are initialised by the most general and common rules which are suitable for the majority of people. Then the intelligent controller will learn more customised details in real time after it is deployed. Also, once the electricity supply/demand pattern and the living style or the users of the controller have changed, the controller will be able to catch the changes up in real time. It has been reported that around 40% residential energy use is consumed to deliver ‘unused’ energy services. The proposed approach will potentially provide significant help in reducing energy waste and CO2 emission but in the same time improving the quality of life.

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    Manufacturing Production/Process Control, Scheduling and Optimisation

    Industrial project funded by Simpson Group Print Ltd.

    PI: Dr. Longzhi Yang

    Simpson Group is one of the UK’s leading manufactures of posters and 3D displays for promotions. The company has a number of customers we are all very familiar with, such as Next, Morrison's, and Danbenhams. A promotion usually involves multiple display objects, and a display object is typically produced in a sequence of operations. In addition, an operation can be alternatively conducted by different capable machines with different costs. This project developed a software prototype which intelligently schedules the manufacturing production line use CI techniques and thus improves production efficiency.

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    Robotic Writing System

    Collaborative project, the collaborator was funded by National Natural Science Foundation of China (No. 61203336)

    This project aims to teach robots to write in an analogy to how humban being writes. PI: Dr. Fei Chao at Xiamen University, China

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    Interaction-based Human Motion Analysis and Retrieval

    Collaborative research, the collaborator is funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/M002632/1)

    Interaction based on motion analysis. PI: Dr. Hubert P.H. Shum at Nothumbria University

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    Multi‐layer Lattice Model for Real‐Time Dynamic Character Deformation

    Collaborative research, the collaborator was funded by Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT)

    MEXT Top Global University Project Scholarship: £5,500, Contributing Researcher (PI: Prof. Shigeo Morishima). Received from the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT)To support 1 Japanese PhD (Waseda University) working in the UK for 6 months .

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Current Research Assistant

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    Paras Bhattrai

    2020 - Present

    Paras is working on developing Athelete Monitoring System App, a KTP partnership between Northumbria University and SportsAid. He is a full stack developer developing scalable web applications. His experience include working with Indian and German tech startups. You can find see some of his previous works at GitHub and projects at LinkedIn.

Current PhD Students

  • More details are on its way......

  • More details are on its way......

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    Rebeen Hamad

    2019-

    This project mainly focuses on deep neural network simplification for IoT, funded by Northumbria University.

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    Laura Pearson

    2020-

    This project mainly focuses on digital forensics.

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    Philip Anderson

    2020-

    This project mainly focuses on Digital Forensics.

Recent PhD Students and RAs

  • - Jie Li, PhD student
    - Yijun Shen, PhD student
    - Yao Tan, PhD student
    - Zequn Li, PhD student
    - Naoya Iwamoto, Visiting PhD student
    - Zheming Zuo, PhD student (currently thesis revision)
    - Mansoureh Pezhman, PhD student (currently thesis revision)
    - Yang Long, Visiting PhD student
    - Jake Cowton, Research Assistant
    - Aminu Abdulmalik, Reserach Assistant
    - Jason Moore, Research Assistant
    - P. Supraja, Research Fellow


  • Please feel free to contact me if any supervisors or PhD/MSc students (with their supervisors' approval) would like to collaborate with me in co-supervising students.

Research Collaborators

Prof. X. Zeng

Prof. X. Zeng at Manchester Uni

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Dr. L. Zheng

Research Fellow at Xiamen University

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Dr. J. Greensmith

Lecturer at Nottingham University

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Prof. Daniel Neagu

Professor at Bradford University

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Dr. Yanpeng Qu

Associate Professor at Dalian Maritime University

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Mr. Yijun Shen

PhD student at Norghumbria University

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Mr. Naoya Iwamoto

PhD student at Waseda University

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Dr. Fei Chao

Associate Professor at Xiamen University

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Dr. Xin Fu

Associate Professor at Xiamen University

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Dr. Hubert Shum

Senior Lecturer at Northumbria University

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Dr. Mark Flanagan

Information Services Manager at Simpson Group

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Ms Elaine Taylor-Whilde

CEO of Nine Health CIC

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Lead and Managements

Director of Education
Chair of IEEE SIG of Big Data for Cyber Security and Privacy

Lead Developer of MSc AI

Taught-Programme Projects

1. EAE0004: Placement year tutor - Accenture and HMRC

2. CM0645: Individual Project

3. IS0749: MSc Individual Project

Teaching modules

1. KV7003: AI and Digital Technologies

1. KF6007: Artificial Intelligence and Robotics

2. KV6002: Professionalism and Team Project

3. KF5004: Advanced Operating Systems

4. EN0402: Programming Fundamentals with Robots

Conference and Special Session Organiser

General Co-chair, UKCI 2019

Poster Chair, BMVC 2018

Lead Chair of Annual Special Session Fuzzy Logic Systems for Security and Forensics:

- Special Session 27 "Fuzzy Logic Systems for Security and Forensics" at FUZZ-IEEE 2020 in WCCI 2020

- Special Session 04 "Fuzzy Logic Systems for Security and Forensics" at FUZZ-IEEE 2019

- Special Session 04 "Fuzzy Logic Systems for Security and Forensics" at FUZZ-IEEE 2018 in WCCI 2018

- Special Session 04 "Fuzzy Logic Systems for Security and Forensics" at FUZZ-IEEE 2017

Journal Editor

Area Editor of International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IF=1.286)

Associated Editor of IEEE ACCESS (IF=4.098)

Leading Guest Editor for Special of Recent advances in Data Science and Systems in Expert Systems (IF=1.505)

Leading Guest Editor for Special Issue on emerging Trends and Applications in Cloud Computing in Springer journal of Wireless Networks (IF=2.405)

Guest Editor for Special Issue on Intelligent, Smart and Scalable Cyber-Physical Systems in the Journal of Intelligent and Fuzzy Systems (IF=1.637)

Guest Editor of Multimedia Tools and Applications for special issue on “Soft computing Techniques and Applications for Intelligent Multimedia Systems”

Journal Review

IEEE Transaction on Fuzzy Systems

IEEE Transaction on Cybernetics

IEEE Transaction on Big Data

IEEE Transaction on Circuits and Systems for Video Technology

IEEE MultiMedia

IEEE Access

IEEE Journal of Biomedical and Health Informatics

The IEEE/CAA Journal of Automatica Sinica

Fuzzy Sets and Systems (Elsevier)

Expert Systems (Wiley)

Soft Computing

Information Science

Neural Computing and Applications (Elsevier)

Computers and Electrical Engineering (Elsevier)

Neurocomputing

Knowledge Based Systems

International Journal of Machine Learning and Cybernetics

Invited Talks/Seminars

2018: Fuzzy Rule Interpolation Systems, Department of Computer Science, Aberystwyth University

2018: Fuzzy Rule Interpolation Systems, Department of Computer Science and Technology, University of Bedfordshire

2017: Fuzzy Rule Interpolation Systems, School of Computing, the University of Portsmouth

2015: Fuzzy Interpolation and Its Application in Smart Home, the 12th Haiyun Lecturer of 2015 at Xiamen University

2014: AI Techniques and Their Potential Application in Print Industry, Simpson Group, Newcastle upon Tyne, UK

2012: Data Quality Assessment: from Computing Point of View - CSOMOS Symposium: A Roadmap to Navigate from Databases to Adverse Outcome Pathways, Bradford, UK

2012: Data Quality Assessment and Control - SEURAT-1 Summer School, Oeiras, Portugal

2011: Fuzzy Interpolation and Its Adaptation - Research Seminar of SCIM, University of Bradford, UK

Conference Technical Committee Member

The IEEE International Conference on Fuzzy Systems

The IEEE International Conference on Tools with Artificial Intelligence

The International Conference on Fuzzy Systems and Knowledge Discovery

The UK and Ireland Workshop on Computational Intelligence

The IEEE International Symposium on Multimedia

The International Conference on on Information Science and Security

The International Conference on IT Convergence and Security

The International Conference on Information Science and Applications

The International Conference on Advanced Computational Intelligence

... ...

KTP Associate Recruitment

KTP Associate Geodata Analysis Software Developer recruitment for Innovate UK funded project in partnership with Cathie Group. Deadline: 16 November, 2020

PhD Student Position

Highly motivated PhD candidates are welcomed to join, and self-funded student can be accepted all year around.

Undergraduate and MSc Internship Position

Internship students and vistings students are welcome to join us for summer projects.

Visiting Scholar

Motivated visiting scholars are particularly welcome, and we will provide support for candidate to apply the fund for visiting.

Post-doc Research Fellow Position

Motivated post-docs candidates are also welcome, self-funded ones will be particularly encouraged to apply, support will be provided to apply for other funding opportunities, such as Newton International fellowships.

At My Office

CIS Building
Department of Computer and Information Science,
Faculty of Engineering and Environment,
Northumbria University,
Newcastle upon Tyne,
NE1 8ST, UK.