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Dr.Sofiat Olaosebikan

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I am a Lecturer in Algorithms and Complexity in the School of Computing Science at the University of Glasgow. I have a PhD in Computing Science from the University of Glasgow, Scotland; an MSc in Mathematical Sciences from the African Institute for Mathematical Sciences (AIMS), Ghana; and a BSc in Mathematics from the University of Ibadan, Nigeria. My journey from being a major in Mathematics to becoming a researcher in CS is fuelled by my passion for problem solving and 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 computing skills to young Africans, 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 Computer Science Academy Africa - an initiative focused on empowering young Africans with computer programming skills. In recognition of the transformational change engineered by this initiative, I was named as one of the Future World Changers at the University of Glasgow.

 

For sports, I enjoy weightlifting, boxing, and high-intensity training. I am an active member of the University of Glasgow gym. When life gets in the way and I am unable to go to the gym, I walk 10,000 steps per day.

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RESEARCH

 algorithms design using graph theory; matching theory; combinatorial optimisation; computational complexity; algorithm engineering; experimentation.

I am a member of the Formal Analysis, Theory and Algorithms (FATA) research group. My motivation for research is fuelled by my passion for using tools from mathematics and computer science to solve real-world problems. My PhD work titled "The Student-Project Allocation problem: Structure and Algorithms" was on the design of efficient algorithms for a class of matching problems. Matching problems arise when we seek to match a set of agents to a set of objects (e.g., pairing donor kidneys with transplant patients, allocating junior doctors to hospitals, and assigning students to projects).
 
In addition to my research on matching problems, I have worked with researchers in the School of Engineering at the University of Glasgow, on the design of efficient algorithms for future wireless communications. Moreover, I am also currently working on bridging the gap between reinforcement learning and matching theory.

PUBLICATION

  • Structural aspects of the student-project allocation problem. Ayegba, P., Olaosebikan S., and Manlove D. Discrete Applied Mathematics (2024) -- in submission to the special issue dedicated to selected papers from ISCO 2024.

  • Structural aspects of the student-project allocation problem. Ayegba, P., Olaosebikan S., and Manlove D. Discrete Applied Mathematics (2024) -- in submission to the special issue dedicated to selected papers from ISCO 2024.

  • 1. Antenna selection based on matching theory for uplink cell-free millimetre wave massive multiple input multiple output systems. Al Ayidh A., Sambo Y., Olaosebikan S., Ansari S. and Imran M. Telecom (2022). [DOI: 10.3390/telecom3030024 ] 2. Broadening Participation in Computing: Experiences of an online programming workshop for African Students. Tshukudu E., Olaosebikan S. , Omeke K., Pancheva A., McQuistin S., Jilantikiri L. J., and Al-anqoudi M. Accepted for publication in ITiCSE 2022: 27th Annual Conference on Innovation and Technology in Computer Science Education, Dublin, Ireland, 8-13 July 2022.

  • 1. Strong stability in the Student-Project Allocation problem with Ties. Olaosebikan S., and Manlove D. Submitted to Discrete Applied Mathematics -- a special issue dedicated to selected papers from CALDAM 2020. 2. An algorithm for Strong Stability in the Student-Project Allocation Problem with Ties. Olaosebikan S., and Manlove D. Accepted for MATCH-UP 2019 (no proceedings). In proceedings of CALDAM 2020: International Conference on Algorithms and Discrete Applied Mathematics, volume 12016 of Lecture Notes in Computer Science, pages 384 - 399, Springer, 2020. [DOI: https://doi.org/10.1007/978-3-030-39219-2_31 | Postprint | arXiv version ]

  • Super-stability in the Student-Project Allocation Problem with Ties. Olaosebikan S., and Manlove D. Journal of Combinatorial Optimization (2020) -- a special issue dedicated to selected papers from COCOA 2018. [DOI: https://doi.org/10.1007/s10878-020-00632-x | Postprint | arXiv version ]

    Student-Project Allocation with Preferences over Projects: Algorithmic and Experimental Results Manlove D., Duncan M., and Olaosebikan S. Discrete Applied Mathematics (2020) -- a special issue dedicated to selected papers from ISCO 2018. [DOI: https://doi.org/10.1016/j.dam.2020.08.015 | Postprint]

    Super-stability in the Student-Project Allocation Problem with Ties. Olaosebikan S., and Manlove D. 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. [DOI: https://dx.doi.org/10.1007/978-3-030-04651-4_24 | Postprint ]

    An Integer Programming Approach to the Student-Project Allocation Problem with Preferences over Projects. Manlove D., Duncan M., and Olaosebikan S. 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. [DOI: https://doi.org/10.1007/978-3-319-96151-4_27 | Postprint | arXiv version ]

SUPERVISION

  • The easiest way is to fill out the booking form on our Bookings page. We'll respond within 48 hours to discuss availability and next steps.

  • Speaking fees vary based on event type, location, audience size, and format (keynote, workshop, or panel). Please contact us at hello@sofiatolaosebikan.com for a customised quote. We offer flexible options for educational institutions and non-profit organisations.

Available Funding

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  • The easiest way is to fill out the booking form on our Bookings page. We'll respond within 48 hours to discuss availability and next steps.

  • Speaking fees vary based on event type, location, audience size, and format (keynote, workshop, or panel). Please contact us at hello@sofiatolaosebikan.com for a customised quote. We offer flexible options for educational institutions and non-profit organisations.

  • Dr Sofiat offers flexible formats:

    • 30-45 minute keynotes

    • 60-90 minute workshops (interactive)

    • Panel discussions (time varies)

    • Half-day or full-day training sessions.

     

    We'll work with you to find the format that best fits your event schedule and goals.

  • Yes. Sofiat is available for speaking engagements across the UK, US, Europe, Africa, and internationally. Travel and accommodation costs are typically covered by the host organisation.

  • Absolutely. Every talk is tailored to your audience, industry, and objectives. During our pre-event consultation, we'll discuss your goals, audience demographics, and key themes to ensure maximum impact.

    1. Initial inquiry (booking form or email)

    2. We respond within 48 hours to discuss availability

    3. Pre-event consultation call (15-30 minutes)

    4. Booking confirmation and contract

    5. Pre-event preparation and customisation

    6. Event day delivery

    7. Post-event follow-up

     

    The process typically takes 2 - 4 weeks from inquiry to confirmation, though we can accommodate urgent requests when possible.

  • We understand that circumstances change. Our cancellation and rescheduling policy will be outlined in the booking contract. We aim to be flexible and work with you to find alternative dates when possible.

  • Yes. Sofiat is experienced in delivering powerful virtual keynotes and workshops via Zoom, Teams, or your preferred platform. Virtual engagements include the same level of customisation as in-person events.

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Dr Sofiat Olaosebikan

Lecturer in Computing Science
University of Glasgow

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Page last updated 2026

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