Software Engineering & Quality
Model-based testing, regression testing, test-case design and software fault prediction. The focus is on making engineering assumptions and quality requirements explicit.
Advisor — Technology & Innovation
Dr. Tamim Ahmed Khan is a software engineering academic, researcher and technology professional whose experience spans software quality, artificial intelligence, cybersecurity and digital learning. His background combines doctoral research at the University of Leicester with academic leadership, enterprise software development and technology project coordination.
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Technology becomes a development proposition when its intended use, engineering requirements and evidence can be examined together.
Dr. Khan’s career connects academic research with the practical organisation of software and technology work. His experience encompasses software development, technical leadership, project management, quality assurance and postgraduate supervision, alongside enterprise and institutional technology assignments.
Within APDC GLOBAL’s technology-development context, this background is relevant to discussions about software quality, operational fit, implementation dependencies and the evidence a technology proposition should establish. These are perspectives on development, rather than a claim that every technology has been validated or commercially adopted.
Related disciplines provide a way to examine the technology, its users and the conditions required for practical use.
Model-based testing, regression testing, test-case design and software fault prediction. The focus is on making engineering assumptions and quality requirements explicit.
Machine learning, natural-language processing and optimisation methods applied to software and organisational workflows. The commercial question remains the usefulness of the application and the evidence available.
Research and development interests in malware analysis, secure software, network traffic analysis, Internet of Things modelling and cyber-physical systems.
Experience in e-learning, gamification, learning technologies and educational assessment, connecting software development with the context in which learners and institutions use it.
A professional overview of academic leadership, commercial technology work and applied systems.
His academic career includes teaching, research and departmental leadership roles at Bahria University Islamabad, alongside earlier academic work at COMSATS. His responsibilities have included academic planning, curriculum development, quality processes and postgraduate research supervision.
His professional background includes leadership at Qalumguru, consultancy with Pakistan Testing Service, technical leadership at Mobile Sync Pakistan, project management at Datels International and management experience at IBM ACE. These roles connect software delivery with planning, quality assurance, operating requirements and coordination.
His applied work spans enterprise information systems, workflow and assessment platforms, hospital information-system coordination, telecommunications and digital learning. Consultancy work with Crystal Systems also addresses process analysis and optimisation within a digital educational twin.
Professional discipline connects technical work with the organisation and people responsible for it.
His experience includes work on quality-assurance processes, ISO 9001-related organisational systems, budgeting, performance standards and service-level expectations. Professional development includes lead-auditor training and monitoring and evaluation of development projects.
Academic responsibilities have included curriculum review through the Higher Education Commission’s National Curriculum Review Committee, coordination of engineering accreditation activities and supervision of postgraduate research in software engineering and related disciplines.
A foundation spanning computing, engineering, business and quantitative disciplines.
A selection of co-authored research. These are scholarly publications, distinct from APDC GLOBAL projects or commercial results.
Raheela Ambreen and Tamim Ahmed Khan
GUI testing, regression testing and the organisation of software test suites.
Read The PublicationIqra Batool and Tamim Ahmed Khan
Research on identifying potentially faulty software components using data-driven techniques.
Read The PublicationKhurrum Mustafa Abbasi, Tamim Ahmed Khan and Irfan ul Haq
Model-based engineering of connected systems involving different technical disciplines.
Read The PublicationDr. Tamim Ahmed Khan is a software engineering academic, researcher and technology professional whose experience spans software quality, artificial intelligence, cybersecurity and digital learning. His background combines doctoral research at the University of Leicester with academic leadership, enterprise software development and technology project coordination.
His professional and research interests include software testing and fault prediction, machine learning, cybersecurity, model-based engineering, Internet of Things systems, digital learning and technology-enabled process improvement.
These disciplines provide relevant context for examining a software proposition, the evidence behind its intended use, its engineering and security requirements, and the operating relationships needed for adoption. APDC GLOBAL’s involvement and any specialist responsibilities remain subject to the separately agreed opportunity and engagement.
This profile draws on the CV supplied to APDC GLOBAL and the university and publisher references linked above.
Profile updated: .
Bahria University Research ProfileAs Advisor — Technology & Innovation at APDC GLOBAL, Dr. Tamim Ahmed Khan contributes software engineering, artificial intelligence, cybersecurity and digital learning expertise to the evaluation and development of technology-driven opportunities.
Dr. Tamim Ahmed Khan serves as Advisor — Technology & Innovation at APDC GLOBAL.
Dr. Tamim Ahmed Khan’s professional expertise includes Software Engineering, Artificial Intelligence, Cybersecurity, Digital Learning.
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