天美传媒

Lecturer in Computer Science

Mr Asad Ullah is a Lecturer in the Department of Computer Science. With over a decade of experience in Software Engineering, he brings a wealth of practical machine learning and software engineering expertise to the 天美传媒.

Throughout his career, Asad has successfully completed numerous projects in the health and finance sector, involving developing and maintaining web applications and machine learning solutions. His extensive expertise spans a variety of programming languages, including Java, JavaScript, and Python. Combining industry knowledge with academic rigor, he offers students a unique perspective on the latest trends and technologies in software engineering, web development, and machine learning.

Qualifications

Asad conducted four years of focused research on user behaviour analysis on search engines from 2014 to 2018 during his PhD studies. He holds a Master of Science in Computer Security and Forensics from the 天美传媒.

Teaching Areas

• Web Technologies:
  • JavaScript, Angular, React, Node.js, Spring Boot microservices architecture.
• Programming Languages:
  • Proficient in Java Python, functional and OOPS progragmming.
• Software Engineering:
  • Focus on system development, testing, and maintenance.
• Database Management Systems:
  • Knowledgeable in SQL and database technologies.
• Data Structures and Algorithms:
  • Teaches foundational and advanced concepts for software optimisation.
• Machine Learning and AI:
  • Applies AI theories to practical problems.

Research Interests

• Machine Learning and Deep Learning:
  • Applying advanced machine learning and deep learning methods to address challenges in the health and e-commerce sectors, enhancing applications with innovative solutions.
• Data-driven solutions in Health and E-commerce:
  • Focused on leveraging machine learning to analyse data from healthcare and e-commerce platforms, aiming to develop solutions that improve user experience, operational efficiency, and decision-making.
• Machine Learning in Software Development:
  • Concentrating on the application of machine learning to enhance the capabilities of developers and coders, focusing on improving software development practices and the coding process through AI.

External Activities

• Local Chair at 13 EAI international conference on cloud Computing.
• Autumn School for Information Retrieval and Information Foraging (ASIRF), Germany 2014.
• 37th European Conference on Information Retrieval (ECIR), Austria 2015.
• Glasgow Information Retrieval Festival (GIRF), 2017.

Publications

• Ullah Asad and Haiming Liu. "Theory-Based User Modeling for Personalized Interactive Information Retrieval". Human Aspects in Adaptive and Personalized Interactive Environments in Conjunction with UMAP 2016. Halifax: HAAPIE Vol-1618 Canada.
• Ullah Asad. 鈥淯ser Information Needs Through Query Reformulation鈥�. 7th PhD Symposium on Future Directions in Information Access (FDIA) Barcelona. 5th September 2017.
• Ahmad Tanvir, Asad Ullah B, GenQing F, Zhang, and B Ahmad. "Discriminative Features Learning-based Convolutional Neural Network for Object Detection Enhancement." EAI CloudComp 2024 - 13th EAI International Conference on Cloud Computing Luton Great Britain September 9-10, 2024.