Academic Staff Members

Professor Mansour Moniri
Professor of  Digital Data Processing Systsems
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 the R. O. Dunmore prize in 1985 and the IEE Award in 1986. His industrial KTP project was entered among the top three in the 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 the 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 Professor and Director of Research and Knowledge Exchange at the University of East London.
 

Dr Julie Wall
Reader in Computer Science
PhD MSc BSc FHEA
Google Scholar

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. 

 

Dr Amin Karami
Senior Lecturer in Big  Data Technologies
BSc (Hons), MSc, FHEA, MBCS, PhD
Google Scholar

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 Skovde, Sweden in 2011. He 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 the Catalonia government in Spain and a student grant by Fondazione Rosselli, Turin Italy), and several invited talks and presentations.

 

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 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, Elsevier Computer Methods and Programs in Biomedicine, IEEE Access and many more. He has developed his research with the goal of improving the effectiveness, efficiency of medical and healthcare systems for different NHS trusts. He successfully supervised PhD and MSc students to completion. He has been involved in different PhD examination committees and chairing committees. 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 International Journals with an impact factor of 2.412. He is the keynote speaker at different international conferences. 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
Google Scholar

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.

 

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

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. He is 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.

 

Dr Seyed Ali Ghorashi
Senior Lecturer in Computer Science

PhD MSc BSc
Google Scholar

Dr Seyed Ali Ghorashi has more than 25 years of industry and academic experience in optimization, 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 wrote a proposal and successfully completed a three-year EPSRC project in 2004. He 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.

 

Dr Nadeem Qazi
Lecturer
PhD, MCS, PGTP, MSc (Physics), BSc (Hon) PGTP, FHEA
Google Scholar

Dr Qazi has over 20 years experience of software engineering, web development and data science applications in industry. He earned his PhD in Machine Learning (ANN) from Cranfield University.  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 Sense Making for Crime Data (VALCRI) at Middlesex University.  He also has completed a project on smart homes (IQuest) at Brunel University, jointly funded by the UK and China.  Other projects included TEMPO (University of Ulster and Limerick Institute of Technology) and Smart Cities in Ireland (National University of Ireland Maynooth, funded by Science Foundation Ireland. He has published more than 50 publications in reputed journals. He is also a reviewer of many IEEE conferences and several journals including Information Process and Management Science Direct.     

 

Dr Rawad Hammad
Lecturer in Computer Science and Digital Technologies
Google Scholar

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 has led numerous international initiatives, e.g., TRANSFER and SmartTech (including Japan, Germany, Finland and Middle East). Prior to coming to 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.

 

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

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.

 

Dr Nikesh Bajaj
Research Fellow in Machine Learning
PhD MSc BSc
Google Scholar

Nikesh did his MSc with a 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.

 

Gbemisola Tracy Goodluck Constance
Research Assistant in Machine Learning
MSc BSc
Google Scholar

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.

 

Marvin Rajwadi
Research Assistant in Machine Learning
MSc BSc
Google Scholar

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.

Current PhD students

Doctoral Researcher Supervisors
 Soha Abdallah Abdelhafiz Nossier 

 Dr Julie Wall

 Professor Mansour Moniri 

 Dr Cornelius Glackin, Intelligent Voice Ltd.

 Shamima Afrin  Dr Julie Wall 
 Adebayosoye Abdulfatai Awonaike

 Dr Seyed Ali Ghorashi

 Dr Rawad Hammad

 Sharjeel Imtiaz  Dr Julie Wall
 Merlin Kasirajan

 Dr Julie Wall

 Professor Mansour Moniri

 Dr Rawad Hammad

 Christopher Moore  Dr Julie Wall
 John Oguntimehin  Dr Amin Karami
 Christopher Ok'Onkwo  Dr Amin Karami
 Arish Siddiqui  Dr Amin Karami
 Alrick Spencer  Dr Amin Karami
 Mahin Talukder  Dr Amin Karami
 Emmanuel Uranta  Dr Rawad Hammad 
 Mulluken Wondie  Dr Julie Wall 

 

Recently Completed PhD students:
Dr Umar Ismail, Framework for Security Transparency in Cloud Computing, 2020

16 PhD completions in the following areas: 
Digital Data Processing (Signals, Images & Video), classification of data, prediction architectures, adaptive data processing, data modelling, data fusion, multi-class pattern learning, data hiding, data analysis & compression.