- 200 years
- Study
- International
- Business and employers
- Research
- About us
https://webcdn.mmu.ac.uk/profiles/img/profile-images/Majdi-Owda-crop-145x145-577b83c10f7a7.jpg
Dr. Majdi Owda is a senior lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University. He gained a BSc in Computer Science from the Arab American University in 2004, and an MSc by research in Computer Science with distinction from Manchester Metropolitan University in 2005 and a Ph.D in Computer Science in 2011. In the MSc Majdi concentrated on Artificial Intelligence (AI) with a thesis titled "Cased-Based Reasoning and Pattern Matching for Automatic Email Response". In his Ph.D research he worked on the creation of Conversation-Based Interfaces to Relational Databases (C-BIRDs) through the use of Conversational Agents and AI techniques.
His main research interests are AI Techniques for Natural Language Interfaces to Relational Databases, Conversational Informatics, Conversational Agents, Knowledge Trees, Knowledge Engineering, Planning, Information Extraction, AI Techniques for the Help of the Society, Web/Data/Text Mining, Digital Forensics Processes and Frameworks, Digital Forensics Artefacts, Information Retireval from Large Data Sources, Internet of Things Frameworks and Internet of Things Digital Forensics Artefacts and Security.
I am currently teaching in the areas of digital forensics and programming.
FHEA, Fellow of the Higher Education Academy, 2012
Postgraduate Certificate in Academic Practice, Manchester Metropolitan University, 2012
Ph.D. in Computer Science, Manchester Metropolitan University, 2011
MSc in Computer Science, Manchester Metropolitan University, 2005
BSc in Computer Science, Arab American University, 2004
MSc Computing Network Programme Leader
English and Arabic.
I am currently teaching Enterprise Programming and Digital Forensics for undergraduate students. Units currently on board:
1- File Systems Forensics and Analysis.
2- Computer Forensics and Security Fundamentals.
3- Enterprise Programming.
4- Professional Development.
I am currently teaching Digital Forensics for postgraduate students. Units on board:
1- Introduction to Computer Forensics and Security.
Ms Pei Shyuan LEE, 2014 - In progress
Ms Lee is an MPhil research student in the Department of Computing and Mathematics. Ms Lee gained a Bachelor Degree in Business (Economics and Finance) from RMIT University-Malaysia in 2011 and an MSc in Computing from Manchester Metropolitan University in 2012. During her Business Degree, Ms Lee concentrated specifically on Economics and Finance. Pie MSc project titled “The Detection of Potentially Illegal Activity on Financial Discussion Boards Using Information Extraction”. Mis Lee continued her interdisciplinary research for an MPhil research titled “A Cybercrime Analysis Methodology for Financial Discussion Boards using Information Extraction Techniques”.
Mr Lewis Evans, 2017 - in progress
Mr Evans is currently pursuing a PhD at the Department of Computing and Mathematics at Manchester Metropolitan University. Mr Evans graduated with a first-class honours degree at Manchester Metropolitan University in 2015; BSc Computer Forensics and Security. Mr Evans’ PhD is titled “A Smart Data Ecosystem for Continuous Monitoring of Financial Market Irregularities”.
Ms Kristina Ganea, 2017 - In progress
Ms Ganea working title: Assessing the application of multiple inter-disciplinary deception detection methods to management earnings calls.
External Examiner, Southampton Solent University 2013 - 2017.
Conversational Informatics.
Conversational Agents
Natural Language Interfaces to Relational Databases.
Conversation-Based Interfaces to Relational Databases (C-Bird)
Information Extraction from Texts
Web Mining and Text Mining.
Computer Systems Forensics
Social Networks Forensics
Forensic Data Mining
Machine Learning Techniques.
Case-Based Reasoning.
Textual Case-Based Reasoning.
Rule-Based Expert Systems.
Neural Networks.
Intelligent Services.
Pattern Matching.
Knowledge Management and Representation.
Planning.
L. Evans, M. Owda, K. Crockett, AF. Vilas (2019). A methodology for the resolution of cashtag collisions on Twitter – A natural language processing & data fusion approach. Expert Systems with Applications. 127, pp.353-369.
L. Evans, M. Owda, K. Crockett, AF. Vilas (2019). A methodology for the resolution of cashtag collisions on Twitter – A natural language processing & data fusion approach. Expert Systems with Applications. 127, pp.353-369.
MS. Owda, Z. Bandar, KA. Crockett (2011). Information Extraction for SQL Query Generation in the Conversation-Based Interfaces to Relational Databases (C-BIRD). In: KES-AMSTA. pp.44-53.
MS. Owda, Z. Bandar, KA. Crockett (2007). Conversation-Based Natural Language Interface to Relational Databases. In: Web Intelligence/IAT Workshops. pp.363-367.
Fellow of the Higher Education Academy.