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Intelligent Systems Research Group

Shaping Lives and Society

Areas of Expertise

Our research focuses on:

  • Machine Learning and Artificial Intelligence
  • 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

 

Academic Staff Members:

Professor Mansour Moniri
DIRECTOR OF RESEARCH AND KNOWLEDGE EXCHANGE
BSc, PhD, CEng, FIET, SFHEA, MIEE

Professor Mansour Moniri is a Chartered Engineer and Fellow of the Institution of Engineering and Technology. He was awarded 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
READER IN COMPUTER SCIENCE
PhD MSc BSc FHEA

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 R&D 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.

Google scholar: https://scholar.google.co.uk/citations?user=EUlLEm4AAAAJ&hl=en

 

Dr Amin Karami
SENIOR LECTURER IN BIG DATA TECHNOLOGIES
BSc (Hons), MSc, P.G.Cert, MBCS, Ph.D.

His research interests include Big Data technologies, Computational Intelligence, and Optimization techniques. He received the M.Sc. degree in Informatics field from University of Skövde, Sweden in 2011. He has also completed his Ph.D. 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, research agency 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.

Google Scholar: https://scholar.google.com/citations?user=8QxD8dkAAAAJ&hl=en

 

Dr Saeed Sharif
Senior Lecturer
PhD, MIET, CEng, FHEA, MBCS, FEngA

Dr Saeed Sharif is a Senior Lecturer at the School of Architecture, Computing and Engineering. He is leading research projects of international calibre and working closely with clinicians and policy makers nationally and internationally to improve the clinical settings and the healthcare systems. His research interests include innovative tele-health, medical technology, digital health care and medical assistive technology, artificial intelligence, medical image analysis and visualization, intelligent diagnosis systems, smart biomedical image, and bio signal acquisition (MRI, PET, and EEG). 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 has served as a reviewer for many national and international journals, e.g., IET IPJ and Elsevier CBMJ.

 

Gaurav Malik
SENIOR LECTURER IN COMPUTER SCIENCE
PGCert MSc MBCS MIET FHEA

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.

Google Scholar: https://scholar.google.co.uk/citations?hl=en&user=qzZu9aAAAAAJ

 

Dr Fadi Safieddine
Senior Lecturer in Computing
BSc (Hons), MSc, P.G.Cert, MBCS, Ph.D.

Dr Safieddine has over twenty years of experience in Higher Education, and as Member of 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.

Google Scholar: https://scholar.google.com/citations?user=KZcWLF8AAAAJ

 

Research Staff Members:

Dr Nikesh Bajaj
RESEARCH FELLOW IN MACHINE LEARNING
PhD MSc BSc

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 (UK) in a joint program with University of Genova (Italy). His PhD work was focused on predictive analysis of auditory attention from physiological signals (https://PhyAAt.github.io). 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: https://scholar.google.com/citations?user=UEOU4boAAAAJ&hl=en


Gbemisola Tracy Goodluck Constance
RESEARCH ASSISTANT IN MACHINE LEARNING
MSc BSc

Tracy received her BSc Computer Science in 2017 and MSc 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.

Marvin Rajwadi
RESEARCH ASSISTANT IN MACHINE LEARNING
BSc

Marvin is currently pursuing an MSc 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.

 

PhD Students:

 Doctoral Researcher
Supervisor/Role Start End
Soha Abdallah Abdelhafiz Nossier
Dr Julie Wall – Director of Studies
2019 2023
Christopher Moore
Dr Julie Wall – Second
2015
2021
Daniel Schatz
Dr Julie Wall – Second
2014 2019
Christopher Ok'Onkwo
Dr Amin Karami – Director of Studies
2009
2023
Arish Siddiqui
Dr Amin Karami – Second
2018
2022
Mahin Talukder
Dr Amin Karami – Second
2016
2020
Umar Ismail
Dr Amin Karami – Second
2014
2020

 

FUNDING:

DATE SPONSOR TITLE FUNDING Investigators
08/03/2018 – 24/05/2018
UEL Funded Internship Scheme
Development of computing taster sessions to support outreach & recruitment
£2,000
Line Manager – Julie Wall
15/04/2018 – 08/05/2018
Erasmus+ staff mobility
Visit Uppsala University, Sweden, for the Big Data workshop
£4,000
Amin Karami
01/06/2018 – 10/08/2018
UEL Funded Research Internship
A Multi Attribute Decision Making System for selecting a Cloud Platform
£2,000
Academic Supervisor – Amin Karami
11/06/2018 – 19/08/2018
UEL Funded Research Internship
Deep Learning for Speech Enhancement in Noisy Environments
£2,000
Academic Supervisor – Julie Wall
01/07/2018 – 10/09/2018
UEL Funded Research Internship
Risk Analysis on IoT-based smart home with real time reactions
£2,000
Academic Supervisor – 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
01/10/2018 - 01/09/2019
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
17/06/2019 – 23/08/2019


UEL Funded Research Internship
Deep Learning for Speech Enhancement
£2,000
Academic Supervisor – Julie Wall

Contact us

General inquiries 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
Email: j.wall@uel.ac.uk

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