Projects per year
Personal profile
Scholarly biography
PhD, University of East Anglia
Award date: September 2008
MSc Distributed Systems, University of East London
Award date June 1995
BSc (Hons) Information Systems, University of Belgrade
Award date: June 1985
Supervisory Interests
I am interested in supervising topics in large scale data processing in the context of software components framework.
Also, designing secure computer systems, machine learning, transaction management in distributed computing and software engineerinng project management are my supervisory interests.
Approach to teaching
I am a senior lecturer at the School of Compuring, Engineering and Mathematics, University of Brighton, UK. With more than 20 years of teaching experience in Higher Education, my teaching has spanned the undegraduate students at each level and the postgraduate computing courses. My main teaching subjects are programming, databases, operating systems and enterprise middleware for processing of large data sets. I am a course leader for a number of cumputing science and software enginerring courses, at the undegraduate and postgraduate levels. I am deeply involved in leading the design and development of new courses and also organising and improving the students' learning experience in the existing courses.
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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Lankelma KTP
Garrett, C. (PI), Soldar, G. (CoPI) & Diakoumi, M. (PI)
1/11/21 → 31/10/23
Project: Research Councils / Government Depts.
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A Novel Diabetes Predict Framework of Ensemble Learning to Solve Missing and Imbalanced Data
Chanthan, C. S., Soldar, G. & Uchyigit, G., 9 Apr 2026, 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, p. 1-8 8 p. (International Conference on Electrical, Computer, and Energy Technologies, ICECET 2025).Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
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Improved Diabetes Prediction: Advanced Hybrid Sampling Method of Kmeans-SVMSMOTE-ENN and Ensemble Learning Model
Chanthan, C. S., Soldar, G. & Uchyigit, G., 12 May 2026, ICCRD 2026: Proceedings of the 2026 18th International Conference on Computer Research and Development. New York: Association for Computing Machinery, p. 50-58 9 p.Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
Open AccessFile -
Ensemble Learning for Diabetes Early Prediction Case Study: A Systematic Review
Chanthan, C. S., Soldar, G. & Uchyigit, G., 3 Sept 2025, Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) . Arai, K. (ed.). Springer, Vol. 1. p. 341–365 25 p. (Lecture Notes in Networks and Systems).Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
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A novel cough audio segmentation framework for COVID-19 detection
Ashby, A., Meister, J. A., Soldar, G. & Nguyen, K. A., 1 Jul 2022, p. 1-8. 8 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
An agent based approach to the automation of risk management in IT projects
Jackson, K. & Soldar, G., 1 Jan 2016, Proceedings of the 10th European Conference on Information Systems Management. Reading, UK: Academic Conferences and Publishing International Ltd, p. 288-295 8 p.Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
Open AccessFile
Activities
- 1 Taught course