Akif Quddus Khan
About
Akif Quddus is a highly motivated and dedicated professional boasting over 12 years of experience in the computer science and engineering domain. He has effectively assumed diverse roles throughout his career, encompassing software development, big data analysis, and cloud computing specialization. Akif has had the privilege of engaging in a wide array of projects, ranging from small-scale applications to expansive enterprise systems. He brings with him a rich profusion of programming language proficiency, including PHP, Java, Python, C++, C#, and familiarity with both relational and non-relational databases. His prowess in big data and cloud computing is underscored by his adeptness in leveraging technologies like Hadoop, Spark, and AWS. With a track record of designing, developing, and deploying resilient and scalable big data solutions, Akif also excels in leadership and team mentoring, reflecting his adeptness in collaboration and leadership skills.
Presently, Akif is immersed in his Ph.D. journey in Computer Science, where his research orbits the convergence of big data and cloud computing. His research endeavors revolve around pioneering techniques to process and scrutinize extensive datasets in cloud environments, with an unwavering commitment to augmenting performance, scalability, and cloud cost optimization. Akif's unique blend of professional experience and his cutting-edge Ph.D. work position him at the intersection of theoretical insights and practical applications, allowing him to delve into the crux of the field and continually seek avenues to apply his extensive knowledge and expertise to real-world challenges.
Publications
2024
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2024)
A Taxonomy for Cloud Storage Cost.
Communications in Computer and Information Science (CCIS)
Academic article
-
Khan, Akif Quddus;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru;
Soylu, Ahmet.
(2024)
Cloud storage tier optimization through storage object classification.
Computing
Academic article
-
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)
Academic article
-
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
Academic article
-
Khan, Akif Quddus.
(2024)
Cloud Cost Modelling and Optimisation: A Taxonomy and Approaches for Storage Object Classification and Cloud Resource Placement.
NTNU Open
Doctoral dissertation
2023
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2023)
Towards Cloud Storage Tier Optimization with Rule-Based Classification.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Khan, Akif Quddus;
Nikolov, Nikolay;
Matskin, Minhail;
Prodan, Radu;
Roman, Dumitru;
Sahin, Bekir.
(2023)
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines.
Sensors
Academic article
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2023)
Towards Graph-based Cloud Cost Modelling and Optimisation.
IEEE conference proceedings
Academic chapter/article/Conference paper
2022
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Song, Hui;
Roman, Dumitru.
(2022)
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Khan, Akif Quddus.
(2022)
Smart Data Placement for Big Data Pipelines with Storage-as-a-Service Integration.
NTNU Open
Masters thesis
2021
-
Corodescu, Andrei-Alin;
Nikolov, Nikolay;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir.
(2021)
Locality-Aware Workflow Orchestration for Big Data.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Corodescu, Andrei-Alin;
Nikolov, Nikolay;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir H..
(2021)
Big data workflows: Locality-aware orchestration using software containers.
Sensors
Academic article
-
Nikolov, Nikolay;
Dessalk, Yared Dejene;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir.
(2021)
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
Journal publications
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2024)
A Taxonomy for Cloud Storage Cost.
Communications in Computer and Information Science (CCIS)
Academic article
-
Khan, Akif Quddus;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru;
Soylu, Ahmet.
(2024)
Cloud storage tier optimization through storage object classification.
Computing
Academic article
-
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)
Academic article
-
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
Academic article
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2023)
Towards Cloud Storage Tier Optimization with Rule-Based Classification.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Khan, Akif Quddus;
Nikolov, Nikolay;
Matskin, Minhail;
Prodan, Radu;
Roman, Dumitru;
Sahin, Bekir.
(2023)
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines.
Sensors
Academic article
-
Corodescu, Andrei-Alin;
Nikolov, Nikolay;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir H..
(2021)
Big data workflows: Locality-aware orchestration using software containers.
Sensors
Academic article
-
Nikolov, Nikolay;
Dessalk, Yared Dejene;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir.
(2021)
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
Part of book/report
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Bussler, Christoph;
Roman, Dumitru.
(2023)
Towards Graph-based Cloud Cost Modelling and Optimisation.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Khan, Akif Quddus;
Nikolov, Nikolay Vladimirov;
Matskin, Mihhail;
Prodan, Radu;
Song, Hui;
Roman, Dumitru.
(2022)
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
-
Corodescu, Andrei-Alin;
Nikolov, Nikolay;
Khan, Akif Quddus;
Soylu, Ahmet;
Matskin, Mihhail;
Payberah, Amir.
(2021)
Locality-Aware Workflow Orchestration for Big Data.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
Report
-
Khan, Akif Quddus.
(2024)
Cloud Cost Modelling and Optimisation: A Taxonomy and Approaches for Storage Object Classification and Cloud Resource Placement.
NTNU Open
Doctoral dissertation
-
Khan, Akif Quddus.
(2022)
Smart Data Placement for Big Data Pipelines with Storage-as-a-Service Integration.
NTNU Open
Masters thesis
Outreach
2022
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Academic lectureZheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Khan, Akif Quddus; Soylu, Ahmet; Kharlamov, Evgeny. (2022) Towards A Statistic Ontology for Data Analysis in Smart Manufacturing. The 21st International Semantic Web Conference (ISWC) 2022-10-23 - 2022-10-27
2020
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Academic lectureKhan, Akif Quddus; Khan, Salman; Ullah, Mohib; Alaya Cheikh, Faouzi. (2020) A Bottom-Up Approach for Pig Skeleton Extraction Using RGB Data. International Conference on Image and Signal Processing 2020-06-04 - 2020-06-06