SATISH KUMAR
Ph.D., University of Birmingham

Teaching Assistant
School of Computer Science
University of Birmingham, UK




RESEARCH INTERESTS





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s.kumar.8@cs.bham.ac.uk
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Room No. 124 Computer Science Building University of Birmingham, Birmingham, UK





Welcome to Satish Kumar’s Homepage

I am a Postgraduate Teaching Assistant in the School of Computer Science, University of Birmingham, Birmingham, UK. Prior to that, I was a Lecturer at IMS College Ghaziabad and Teaching Associate at Gautam Buddha University, Greater Noida, India. In my PhD project, I am fortunate to conduct my research work under the supervision of Dr Rami Bahsoon, Professor Rajkumar Buyya ( The University of Melbourne & Rank #1 Computer Scientist in Australia), and Dr Tao Chen (Loughborough University, UK). Recently, one of my PhD research work has been recognised for the Best Student Paper Award in the 15th IEEE/ACM SEAMS, 2020.


My research has been on software engineering, including but not limited to, cloud computing and service computing. I am interested in engineering self-adaptive and service-based systems, particularly understanding, improving and assessing their run-time behaviours from performance and economic-driven perspective, and applying them in cloud-based, IoT-Driven Services, service-oriented and distributed environment. Most of my work leverages Computational Intelligence, Machine Learning and Economic Theory to tackle these problems.

Recent News

Speaker at Webinar ( 18-Sep-2020 )

Invited talk at webinar on Career Avenue: Options with Computer Science, Department of Computer Science, S.L. College, University of Delhi, Delhi, India, 2020.

Best Student Paper Award- SEAMS-2020 (03-July-2020)

Our paper entitled "DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning" won the best student paper award in IEEE/ACM 15th SEAMS-2020, Seoul, South Korea, 2020.

Paper Accepted in 15th IEEE/ACM SEAMS-2020 (08-March-2020)

Our paper entitled "DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning" has been accepted by the 15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), a top venue for research on self-adaptive software systems, co-located with ICSE 2020. Congratulations



Selected Publications

S.Kumar,T.Chen, R. Bahsoon, and R. Buyya. DATESSO: Self-Adapting Service Composition with Debt-Aware Two Level QoS Constraints Reasoning, In the Proceeding of IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, South Korea, 2020, Winner of SEAMS 2020 best student paper award.

S.Kumar, R. Bahsoon, T.Chen and R. Buyya. Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud, In the Proceeding of 24th IEEE International Conference on Web Services, Italy, 2019.