Dr. Phillip Kisembe, PhD
Computer Engineering Specialist, Technology Strategist, Researcher and University Lecturer
PhD in Computer Engineering; Computer Engineering Specialist, Technology Strategist, Researcher and University Lecturer
- DRAKA.PC
- Lead Consultant, Intelligent Systems Integration & Applied AI
Biography
Dr. Phillip Kisembe is a Computer Engineering specialist, technology strategist, researcher and university lecturer with experience spanning customs automation, National Single Window systems, trade facilitation technology, digital government, Artificial Intelligence and data-driven technology solutions.
He combines a PhD in Computer Engineering and university teaching and research experience with substantial industry exposure to the design, assessment, integration and modernisation of complex information systems within African customs and trade environments.
His professional expertise encompasses customs systems integration, cargo scanner and image-processing systems, digital weighbridge integration, border and port automation, data analytics, IT architecture, technology feasibility studies, systems testing and digital transformation.
His research interests include Artificial Intelligence, Machine Learning, intelligent information systems, AI-enabled trade facilitation, digital forensics and emerging technologies for Africa.
A distinctive strength of Dr. Kisembe's professional profile is his ability to move between research and operational technology environments. He translates real-world government and industry challenges into research questions, system requirements, technology architectures, prototypes and scalable digital solutions.
At DRAKA Labs, he contributes an interdisciplinary perspective connecting Computer Engineering, applied AI, systems integration, digital government and large-scale transactional platforms.
His work supports the Laboratory's objective of transforming academically rigorous computing research into technologies capable of addressing complex institutional, governmental and socioeconomic challenges.
Research interests
- Artificial Intelligence
- Machine Learning
- Intelligent Information Systems
- AI-Enabled Trade Facilitation
- Digital Forensics
- Emerging Technologies for Africa
Applied domains
- AI-enabled trade facilitation
- Intelligent customs systems
- Computer vision for cargo inspection
- Scanner-image analytics
- Intelligent risk management
- Border automation
- Port automation
- Digital weighbridge systems
- Government interoperability
- National Single Window architecture
- Digital forensics
- AI-enabled institutional systems
- Digital public infrastructure
- Emerging technologies for Africa
Professional expertise
- Customs Systems Integration
- Cargo Scanner & Image Processing Systems
- Digital Weighbridge Integration
- Border & Port Automation
- National Single Window Systems
- Systems Integration
- Technology Feasibility & Assessment
- Systems Testing & Validation
- Digital Government
- Digital Forensics
- Applied Artificial Intelligence
- Intelligent Information Systems
DRAKA Labs responsibilities
- 01Provide specialist professional and research expertise across intelligent systems, trade technology, digital-government platforms and complex systems integration
- 02Bridge academic research, Computer Engineering, applied AI, systems integration and digital platforms with government and industry operations
- 03Support DRAKA.PC integration of intelligent technologies into the University enterprise environment through well-defined, interoperable and testable architectural interfaces
- 04Support research and technical evaluation of appropriate AI capabilities for institutional decision support, intelligent automation, anomaly detection, classification and predictive systems
- 05Support integration of intelligent services with enterprise platforms across student, HR, finance, research, administration and digital services
- 06Contribute AI feasibility and use-case assessment so AI is introduced only where it addresses clearly defined institutional problems and can be governed, validated and monitored
- 07Support end-to-end systems-integration assurance across source systems, interfaces, integration platforms, business services and target systems
Programme / project responsibility
DRAKA.PC · Lead Consultant, Intelligent Systems Integration & Applied AI
Provides specialist expertise supporting the integration of intelligent technologies into the University enterprise environment, ensuring AI-enabled capabilities and complex external or internal systems are introduced through well-defined, interoperable and testable architectural interfaces.