Photo of Sofiat Olaosebikan

I am a computer science PhD student, with background in Pure and Applied Mathematics. My journey from being a major in Mathematics to becoming a researcher in CS is fueled by my passion for problem solving and programming. I am most enthusiastic about combining tools from mathematics and theoretical computer science to come up with solutions to real-world problems.

As much as I enjoy programming, I also derive joy in teaching it, most especially the essential components that embodies programming (computational thinking, problem solving, etc.). So when I am not working on my research, you can find me in the CS undergraduate lab at the Boyd Orr building where I spend time guiding the students as they explore the world of programming.

I am also very passionate about using my skills to help people. In my spare time, I find myself reflecting on how best to inspire and pass on my computing skills to young Africans studying in a STEM related field, with the hope that they can also grow to become creative thinkers. Consequently, they can contribute to pushing Africa forward on the frontiers of science and technology. All of these thoughts and reflections led to PWSAfrica - an initiative focused on empowering scientists in Africa with basic programming skills.

In my spare spare time, I spend some time taking care of my mental health at the University gym. I mostly find myself heading to Powerplay on Level 2 for weighlifting, and when I'm feeling too lazy to think about a workout routine, I join some of the fitness classes (which includes, Kettlebells, FortyFive, Roar, Core15, Box15, ... ).

Research Interests

My research interests lie mainly in the area of Algorithms and Complexity. At present, I am working on the design of efficient algorithms for matching problems, which arise when we seek to match a set of agents to a set of objects (e.g., kidney donors to patients, junior doctors to hospitals, and students to projects). Typically, agents may have ordinal preferences over a subset of objects, and there may be constraints on the number of agents that each object can accommodate. A natural goal is to find an optimal allocation of agents to objects, according to the given preferences and constraints. A practical application of matching problems, where university departments seek to allocate students to dissertation projects, is referred to as the Student-Project Allocation problem (SPA). For my PhD, I am focused on generating new structural and algorithmic results for variants of SPA.

Supervisor: David Manlove.
Research group: Formal Analysis, Theory and Algorithms (FATA).
Affiliation: School of Computing Science, University of Glasgow.

My research is funded by a College of Science and Engineering Scholarship, University of Glasgow.


An Integer Programming Approach to the Student-Project Allocation Problem with Preferences over Projects
David Manlove, Duncan Milne and Sofiat Olaosebikan
In proceedings of ISCO 2018: the 5th International Symposium on Combinatorial Optimization, volume 10856 of Lecture Notes in Computer Science, pages 313 - 325, Springer, 2018
[ Paper | Postprint | Full version]

Super-stability in the Student-Project Allocation Problem with Ties
Sofiat Olaosebikan and David Manlove
In proceedings of COCOA 2018: the 12th Annual International Conference on Combinatorial Optimization and Applications, volume 11346 of Lecture Notes in Computer Science, pages 357 - 371, Springer, 2018
[ Paper | Full version]

Student-Project Allocation with Preferences over Projects: Algorithmic and Experimental Results
David Manlove, Duncan Milne and Sofiat Olaosebikan
Submitted to Discrete Applied Mathematics

An algorithm for strong stability in the Student-Project Allocation Problem with Ties
[Work in progress]



Presentations and talks


  • Member of the committee organising the SICSA PhD Conference 2019 to be held at the University of Stirling
  • Founder and President of the Nigerian Students' Society, University of Glasgow (NSSUofG). Check out NSSUofG's Twitter and Facebook for more information. (2018/19).
  • Postgraduate student representative on the British Colloquium for Theoretical Computer Science (BCTCS) organising committee (2018/19).
  • Member of the Postgraduate student committee that organised FICS, to celebrate 60 years of Computing at the University of Glasgow (2017/2018).


  • Lead at PWSAfrica - an initiative focused on empowering scientists in Africa with the essential programming skills needed to bridge the gap between theory and practice. Proudly supported by the School of Computing Science at the University of Glasgow.
  • STEM Ambassador volunteering for the Science Connects Hub at the University of Glasgow. For my recent activity, I was involved in the Glasgow Science Festival 2018.



hopcroftkarp 1.2.4: A Python library that finds a maximum matching in bipartite graphs.

Education & Training

Scholarships & Awards

  • 3.5 years Doctoral Research Scholarship, University of Glasgow.
  • F.K.A Allotey Meritorious Award - Best Graduating Student (2015). African Institute for Mathematical Sciences, AIMS-Ghana.
  • Fully Funded Masters Scholarship (2014). African Institute for Mathematical Sciences, AIMS-Ghana.
  • Lagos State Government Scholarship, in recognition of Academic Merit (2012).
  • Academic Merit Award (2010 - 2012). Dean's Roll of Honor, Faculty of Science, University of Ibadan.


Office:                 G161, Sir Alwyn Williams Building,
                                School of Computing Science,
                                University of Glasgow,
                                Glasgow G12 8QQ, UK.

Telephone:       +44 (0)141 330 4691

Email:                   s.olaosebikan.1(at)research.gla.ac.uk

You can also find me on other websites

Linkedin | Github | Twitter