Akif Quddus Khan

About

Dr. Akif Q. Khan is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University (OsloMet). He brings over 12 years of experience in computer science and engineering, with expertise spanning big data, cloud computing, machine learning, and software development. He specializes in designing robust, scalable, and efficient solutions for processing and analyzing large-scale datasets, with a particular focus on performance and cost optimization in cloud environments.

Education & Research

Dr. Khan earned his PhD from the Norwegian University of Science and Technology (NTNU), Norway. His research centers on big data deployment across the computing continuum and cost optimization models for cloud services. He has developed novel frameworks for optimizing storage, network, and compute resources in cloud environments. Notable contributions include graph-based approaches to cloud cost modelling and optimisation, storage tier optimization through object classification, and smart data placement strategies using storage-as-a-service models for big data pipelines. His work also explores the impact of artificial intelligence in education, including research on the academic impact of ChatGPT, drawing insights from researchers, students, and educators.

Teaching

Dr. Khan teaches courses in web programming at Oslo Metropolitan University, including DATA1200 – Inclusive Web Design and DATA1700 – Web Programming. His teaching reflects a commitment to equipping students with both technical proficiency and an awareness of accessibility and inclusive design principles.

Research groups

Technology and Innovation in Organisation and Society (TIOS)

Scientific publications

Gudek, Beyza; Gurcan, Fatih; Soylu, Ahmet; Khan, Akif Quddus (2026). Projecting Türkiye’s CO2 Emissions Future: Multivariate Forecast of Energy–Economy–Environment Interactions and Anthropogenic Drivers. Sustainability. Vol. 18.
https://doi.org/10.3390/su18010471

Gurcan, Fatih; Soylu, Ahmet; Khan, Akif Quddus (2025). Towards a Sustainable Workforce in Big Data Analytics: Skill Requirements Analysis from Online Job Postings Using Neural Topic Modeling. Sustainability. Vol. 17.
https://doi.org/10.3390/su17209293

Khan, Akif Quddus ; Rani, Anshul (2025). The Academic Impact of ChatGPT: Insights from Researchers, Students, and Educators. Arai, Kohei (Ed.). Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) Volume 2 | Springer Nature Link. p. 175-189. Springer Nature.
https://doi.org/10.1007/978-3-032-00071-2_11

Khan, Akif Quddus ; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2024). Cloud storage cost: a taxonomy and survey. World wide web (Bussum). Vol. 27.
https://doi.org/10.1007/s11280-024-01273-4

Khan, Akif Quddus ; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2024). A Taxonomy for Cloud Storage Cost. Communications in Computer and Information Science (CCIS). Vol. 2022.
https://doi.org/10.1007/978-3-031-51643-6_23

Khan, Akif Quddus ; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2024). Cost modelling and optimisation for cloud: a graph-based approach. Journal of Cloud Computing. Vol. 13.
https://doi.org/10.1186/s13677-024-00709-6

Khan, Akif Quddus ; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2024). Cloud storage tier optimization through storage object classification. Computing. Vol. 106.
https://doi.org/10.1007/s00607-024-01281-2

Khan, Akif Quddus ; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2023). Towards Graph-based Cloud Cost Modelling and Optimisation. Cuzzocrea, Alfredo; Sharmin, Moushumi; Teranishi, Yuuichi; Towey, Dave (Ed.). 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/COMPSAC57700.2023.00203

Khan, Akif Quddus ; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (2023). Towards Cloud Storage Tier Optimization with Rule-Based Classification. Lecture Notes in Computer Science (LNCS). Vol. 14183.
https://doi.org/10.1007/978-3-031-46235-1_13

Khan, Akif Quddus ; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (2023). Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors. Vol. 23.
https://doi.org/10.3390/s23020564

See all publications

These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.