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Intelligent Systems Research Group

Shaping Lives and Society

Areas of Expertise

Our research focuses on:

  • Machine Learning and Artificial Intelligence
  • Deep Learning
  • Computer Vision, Image Analysis & Medical Imaging
  • Mathematical Modelling & Visualization
  • Multimodal Signal Processing
  • Virtual/Mixed/Augmented Reality 
  • Robotics
  • Big Data Technologies
  • Ubiquitous Computing
  • Assisted Living & Digital Healthcare
  • Technology Enhanced Learning


Academic Staff Members:

Professor Mansour Moniri

Professor Mansour Moniri is a Chartered Engineer and Fellow of the Institution of Engineering and Technology. He was awarded the R. O. Dunmore prize in 1985 and IEE Award in 1986. His industrial KTP project entered among the top three in Engineer Technology & Innovation Awards 2009. During his early career, he worked as a researcher with INMOS Ltd on developing computer-based testing systems for data converters. He was the principal investigator and co-inventor of the patented Spectral 360® (US patent 2015), an Adaptive Video Analytics algorithm used in surveillance applications. He has a multidisciplinary academic background covering Computing and Engineering fields.  His research focuses on the development and implementation of digital data processing systems including signals, images, video, and other forms of data. He was a consultant to six International Oil Companies and conducted research projects with BMW and Alstom Ltd. He held several university positions including Head of Digital Processing Technology Research Group, Director of Technology Research Institute, Director of research and postgraduate studies, Faculty Head of Research, and Head of the School of Engineering at Staffordshire University. He is currently Director of Research and Knowledge Exchange at the University of East London.

Dr Julie Wall

Dr. Julie Wall leads the Intelligent Systems Group of the School of Architecture, Computing, and Engineering (ACE), University of East London. Her research interest focuses on deep neural networks for speech enhancement and recognition and she maintains collaborative research and development links with the industry. This has led to the successful acceptance of two Innovate UK grants with a combined total value of £2,273,177. Since starting her PhD in 2006, Julie has been exploring the overarching research area of designing intelligent systems for processing and modelling temporal data. This primarily involves investigating the architectures and learning algorithms of neural networks for a variety of data sources, including numerical, audio, images, video, 3D, etc.

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Dr Amin Karami
BSc (Hons), MSc, PGCert, MBCS, PhD

His research interests include Big Data technologies, Computational Intelligence, and Optimisation techniques. He received an MSc degree in the Informatics field from the University of Skövde, Sweden in 2011. He has also completed his PhD degree in the Computer Architecture Department at the Universitat Politècnica de Catalunya Barcelona Tech (UPC), Spain in February 2015. Amin carried out several international research collaborations (i.e., University of Skövde, Sweden, Aalto University, Finland, a research agency in Stockholm, Sweden, and DTU Compute, Denmark), several funds and grants (i.e., UPC and Catalonia government, Spain and a student grant by Fondazione Rosselli, Turin, Italy), and several invited talks and presentations.

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Dr Saeed Sharif
Senior Lecturer

Dr. Saeed Sharif is a Senior Lecturer at the School of Architecture, Computing, and Engineering. He leads research projects of international calibre and works closely with clinicians and policymakers nationally and internationally to improve the clinical settings and the healthcare systems. His research is multi-disciplinary, it includes Artificial Intelligence, Innovative Tele-Health, Medical Technology, Digital Health Care and Medical Assistive Technology, Medical Image Analysis and Visualisation, Intelligent Diagnosis Systems, Smart Biomedical Image, Bio Signal Acquisition (MRI, PET, EEG), Nanotechnology, Medical Biotechnology, and Big Data Analysis. He has published a significant number of technical papers and articles in highly reputable journals, international conferences, and book chapters, such as Elsevier Applied Soft Computing, Computer Methods, and Programs in Biomedicine, IEEE Access. He has developed his research with the goal of improving the effectiveness, the efficiency of medical and health care systems. He is a Fellow of the UK Higher Education Academy. He received many academic and research awards. He has participated in many national and international conferences, e.g., ICIP. He is the Guest Editor at the Electronics journal. He has served as a reviewer for many national and international journals, e.g., IET IPJ and Elsevier CBMJ.


Gaurav Malik

Gaurav studied Computer and Information Engineering at South Bank University.  He worked in industry before doing his MSc in Internet Engineering at the University of East London.  Gaurav joined UEL as a full-time lecturer in 2003. His interests are in the area of mobile and cloud computing, robotics, smart cities, and computer science education. He maintains links with industry by being involved in panels and talks.  Gaurav was nominated recently to be an AWS Cloud Ambassador. He has received funding of £500,000 to date from various funding bodies.

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Dr Fadi Safieddine
Senior Lecturer in Computing
BSc (Hons), MSc, PGCert, MBCS, PhD

Dr. Safieddine has over twenty years of experience in Higher Education, and as a Member of the British Computer Society (MBCS) he has been actively involved in university accreditations for BIS programmes. He lectures in several subjects including Systems Analysis, System Modelling, Database Design, Programming, Management Information Systems, Project Management, Advance Database Development, Graphics, and Animation. A keen researcher in the areas of applying technology in education, sustainability in Higher Education, combating online misinformation, and data fusion. In addition, he is actively involved in external examination and programme validation for Computing or Business Information Systems courses.

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Seyed Ghorashi
Senior Lecturer in Computer Science

Dr. Seyed Ali Ghorashi has more than 25 years of industry and academia experience in optimisation, resource allocation, and applications of Artificial Intelligence and Machine Learning in the Internet of Things (IoT), Positioning, Healthcare, Smart Cities, Self-Driving Cars, Cellular and Ad-hoc Networks, 3G, 4G and Next Generation Wireless Communications. He has written the proposal and successfully completed a three-year EPSRC project in 2004. He also has been involved in several national and European projects such as Core 2 and 4 research programmes of the UK Virtual Centre of Excellence (Mobile VCE) and Dreams4Cars European project (dream-like simulation abilities for automated cars). He is a senior member of IEEE and has published more than 120 journal and conference papers and has served as a reviewer of journals such as IEEE Transactions on Cybernetics, IEEE Transaction on Signal Processing, IEEE Internet of Things Journal, Signal Processing (Elsevier), and IEEE Access.

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Dr. Nadeem Qazi
PhD, MCS, PGTP, MSc (Physics), BSc (Hon) PGTP, FHEA

Dr. Qazi has over 20 years of experience in software engineering, web development, and Data Science applications in industry. He earned his PhD in Machine Learning (ANN) from Cranfield University UK.  Dr. Qazi has over seven years post-doctoral research experience in Artificial Intelligence and Big Data Analytics in several fields that include Crime Analysis, Smart Cities, Smart homes, Assisted Living, Human Activity detection, Intelligent Manufacturing, and Energy Optimisation. As a lead researcher, he has completed a four-year EU funded FP7 project Visual Analytics and Sensemaking for Crime Data (VALCRI) at Middlesex University, London.  He also has completed a project on smart homes (IQuest) at Brunel University jointly funded by UK and China.  Other projects included TEMPO (the University of Ulster and Limerick Institute of Technology) and smart Cities in Ireland (the National University of Ireland Maynooth funded by Science Foundation Ireland). He has published more than 50 publications in reputable journals. He is also a reviewer of many IEEE Conferences and several journals including Information Process and Management Science Direct.  

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Dr. Rawad Hammad

Rawad Hammad is a Programme Leader for MSc in Computing and Information and Communication Technology and Lecturer at the University of East London. Hammad has more than twenty years of experience in Software Engineering and Technology Enhanced Learning (TEL) research and practice. Hammad contributed and led various international projects, published research articles, and has been involved in conference programme committees. In 2018, he received his PhD in Software Engineering from the University of the West of England (UWE). In 2010, he received his MSc in Cognitive Computing from Goldsmiths, University of London. Hammad’s research interests include Artificial Intelligence, Software/Requirement Engineering, TEL, Analytics, Smart Cities/IoT, Semantics, Enterprise Architecture. Rawad led numerous international initiatives, e.g., TRANSFER and SmartTech (including Japan, Germany, Finland, and the Middle East). Prior to coming to the University of East London, Rawad was a Senior Education Solutions Researchers/Analyst at King's College London. Prior to that, he was a researcher at the Centre for Complex Cooperative Systems-UWE. He was the Director of e-Learning Centre at Gaza University, and Developer and Team Lead at the Logicteca Company, Canada.   

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Dr. Mohammad Hossein Amirhosseini
Lecturer in Computer Science and Digital Technologies
BSc, MSc, PhD

Dr. Amirhosseini graduated with a BSc in Software Engineering, before achieving his MSc in Information Technology from Coventry University. He then completed his PhD in Computing and Artificial Intelligence at London Metropolitan University. He joined UEL as a lecturer in 2020. Prior to UEL, he was a Postdoctoral Research Fellow at London Metropolitan University, contributing to the SPIRIT (Scalable Privacy-Preserving Intelligence Analysis for Resolving Identities) project, a five million Euro EU Horizon 2020 project consisting of a consortium of 17 partners from nine different European countries including Germany, Italy, Sweden, Spain, Greece, Belgium, Poland, Serbia, and the United Kingdom. He also had five years of university teaching experience as well as seven years of work experience in industry. He has contributed to different prestigious international conferences on Computational Intelligence as a special session main organiser and chair. Dr. Amirhosseini’s research interests and expertise include, but are not limited to, applications of AI and machine learning techniques in different areas such as Psychology, Cognitive Processing, Personality Type Prediction, Personality Development, Human-Computer Interaction, Natural Language Processing, Cyber Security, Identity Resolution, social engineering, phishing attacks, fraud detection, and social network analysis.

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Research Staff Members:

Dr Nikesh Bajaj

Nikesh did his MSc with major in Signal Processing from Aligarh Muslim University, India. With five years of teaching experience, he worked in Signal Processing and Machine Learning. He received his PhD in 2019 from Queen Mary University of London in a joint programme with University of Genova (Italy). His PhD work was focused on predictive analysis of auditory attention from physiological signals ( He is currently working as a Postdoctoral Research Fellow at University of East London for an Innovate UK funded project on behavioural analytics.

Google Scholar:

Gbemisola Tracy Goodluck Constance

Tracy received her BSc in Computer Science in 2017 and MSc in Computer Science in 2018 from the University of East London. She has gained experience in software development, computer vision, machine learning, and big data analytics. Tracy also gained experience as a research intern using convolutional neural networks for speech enhancement. She is currently working on an Innovate UK funded project. The aim of the project is to combine artificial intelligence with speech recognition techniques to detect linguistic markers in deceptive speech.

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Marvin Rajwadi

Marvin has successfully completed an MSc in Computer Science having achieved a BSc in Artificial Intelligence with Mobile Robotics in 2016 from De Montfort University. His areas of expertise include Machine Learning, Deep Learning, Machine Vision, Automated Speech Recognition, Big Data Analytics, and Natural Language Processing. His current research area focuses on developing machine learning models to help flag deceptive behaviour using ASR transcription data.

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PhD Students:

Doctoral Researcher
 Umar Ismail  Dr. Amin Karami – Second  2014  2020
 Christopher Moore  Dr. Julie Wall – Second  2015  2021
 Mahin Talukder  Dr. Amin Karami – Second  2016  2020
 Arish Siddiqui  Dr. Amin Karami – Second  2018  2022
 Soha Abdallah Abdelhafiz Nossier Dr. Julie Wall – Director of Studies
Professor Mansour Moniri – Second
Dr. Cornelius Glackin, Intelligent Voice, Industrial Supervisor
 2019  2023
 Shamima Afrin  Dr. Julie Wall – Second  2019  2023
 Christopher Ok'Onkwo  Dr. Amin Karami – Director of Studies  2019  2023
 Merlin Kasirajan  Dr. Julie Wall – Director of Studies
Professor Mansour Moniri, Dr. Rawad Hammad – Second
 2020  2023
 Emmanuel Uranta Dr. Rawad Hammad – Second  2020  2023
 Ipposkratis Karakotsoglou Dr. Nadeem Qazi – Second  2020  2023


Completed PhD Students:

Doctoral Researcher
 Dr. Daniel Schatz   Dr. Julie Wall – Second  2014  2019


INTERNAL FUNDING – UEL Funded Internship Scheme:

 Jan 2017 – May 2017   Features extraction and analysis for evaluating and representing infant EEG   £2,000  Dr. Saeed Sharif
 May 2017 – September 2017  Effective analysis and evaluating for infant EEG Signals   £2,000  Dr. Saeed Sharif
 March – May 2018 Development of computing taster sessions to support outreach & recruitment  £2,000  Dr. Julie Wall, Ruzzel Pescozo
 May 2018 – September 2018   A real-time mobile registry system for cancer patients at NHS Trust  £4,000  Dr. Saeed Sharif 
 June – August 2018   A Multi Attribute Decision Making System for selecting a Cloud Platform
 £2,000  Dr. Amin Karami
 June – August 2018 Deep Learning for Speech Enhancement in Noisy Environments
 £2,000  Dr. Julie Wall, Gbemisola Tracy Goodluck 
 July – September 2018 Risk Analysis on IoT-based smart home with real-time reactions
 £2,000  Dr. Amin Karami 
 June – August 2019  Deep Learning for Speech Enhancement
 £2,000  Dr. Julie Wall, Ahmad Yahya
 Feb 2020 Intelligent Data Acquisition for better Healthcare
 £4,000  Dr. Saeed Sharif
 March – June 2020 Deep Learning for Natural Language Processing
 £2,000  Dr. Nikesh Bajaj, Michael Stubbings
 May – June 2020  Machine Learning & Data Processing
 £2,000  Dr. Julie Wall, Mohamed Ahmed  




April – May 2018
 Erasmus+ staff mobility  Visit Uppsala University, Sweden, for the Big Data workshop  £4,000  Dr. Amin Karami 
September 2018 – August 2021  Knowledge Transfer Partnership (KTP), Innovate UK  Improving Video Conferencing with Augmented Reality  £268,000 Lead Academic – Professor Mansour Moniri

Knowledge Base Supervisor – Dr. Julie Wall

Academic Support – Dr. Saeed Sharif
October 2018 – September 2019  National Collaborative Outreach Programme (NCOP)  Coding Through Robotics  £96,000 Lead Academic - Gaurav Malik

Co-Investigator: Dr. Julie Wall
 April 2019 – March 2021  Innovate UK Competition Name: Transforming accountancy, insurance, and legal services with AI and data (large consortia strand)  Automation and Transparency across Financial and Legal services: Mitigating Risk, Enhancing Efficiency and Promoting Customer Retention through the Application of Voice and Emotional AI  £2,005,177 (total)
£473,479 (UEL)
 Principal Investigator – Dr Julie Wall

Co-Investigator – Professor Mansour Moniri

Contact us

General enquiries can be made to:

Dr Julie Wall - Team Leader
Intelligent Systems Research Group
School of Architecture, Computing and Engineering
University of East London
Docklands Campus
4-6 University Way
London E16 2RD
Tel: 020 8223 7791

We are based in UEL's Docklands campus which has excellent public transport links. View map