Peter Olukanmi

Phone+27 11 559 2327
Emailpolukanmiuj.acza
Websitehttps://scholar.google.com/citations?user=reMInwMAAAAJ&hl=en

h-index

Research activity per year

Research Interests

AI/Data science, Algorithms, Natural language processing, Bioinformatics.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

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Dive into the research topics where Peter Olukanmi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

13 Article
10 Conference contribution
2 Review article

Comparative Analysis of Clustering Algorithms for Unsupervised Segmentation of Dental Radiographs
Awosina, P. T., Olukanmi, P. O. & Bokoro, P. N., Jan 2026, In: Applied Sciences (Switzerland). 16, 1, 540.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
Efficient Word-Level Sign Language Recognition Using Quantized Spatiotemporal Deep Learning for Low-Power Microcontrollers
Kimpinde, S. L. & Olukanmi, P. O., Apr 2026, In: Algorithms. 19, 4, 248.
Research output: Contribution to journal › Article › peer-review

Open Access
Application of Blockchain Technology in Carbon Trading Market: A Systematic Review
Abiodun, T. P., Nwulu, N. I. & Olukanmi, P. O., 2025, In: IEEE Access. 13, p. 5446-5470 25 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
24 Citations (Scopus)
Classification prediction of load losses in power stations using machine learning multilayer stack ensemble
Boshoma, B. M., Akinola, O. S. & Olukanmi, P., 2025, In: Frontiers in Artificial Intelligence. 8, 1592492.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
How Good Are Large Language Models at Arithmetic Reasoning in Low-Resource Language Settings?—A Study on Yorùbá Numerical Probes with Minimal Contamination
Oyesanmi, F. & Olukanmi, P. O., Apr 2025, In: Applied Sciences (Switzerland). 15, 8, 4459.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)

University of Johannesburg Researchers Focus on Applied Sciences (Comparative Analysis of Clustering Algorithms for Unsupervised Segmentation of Dental Radiographs)
Bokoro, N. & Olukanmi, P.
28/01/26
1 item of Media coverage
Press/Media
University of Johannesburg Researchers Have Provided New Study Findings on Engineering (Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression)
Olukanmi, P.
4/06/25
1 item of Media coverage
Press/Media
New Applied Sciences Research Has Been Reported by Researchers at University of Johannesburg (How Good Are Large Language Models at Arithmetic Reasoning in Low-Resource Language Settings?-A Study on Yoruba Numerical Probes with Minimal ...)
Olukanmi, P.
13/05/25
1 item of Media coverage
Press/Media
University of Johannesburg Researchers Report Research in Algorithms (SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection)
Bokoro, N. & Olukanmi, P.
11/02/25
1 item of Media coverage
Press/Media
Study Findings from University of Johannesburg Update Knowledge in Blockchain Technology (Application of Blockchain Technology in Carbon Trading Market: A Systematic Review)
Nwulu, N. & Olukanmi, P.
23/01/25
1 item of Media coverage
Press/Media

Dr Peter Olukanmi, Dr

Personal profile

Research Interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Comparative Analysis of Clustering Algorithms for Unsupervised Segmentation of Dental Radiographs

Efficient Word-Level Sign Language Recognition Using Quantized Spatiotemporal Deep Learning for Low-Power Microcontrollers

Application of Blockchain Technology in Carbon Trading Market: A Systematic Review

Classification prediction of load losses in power stations using machine learning multilayer stack ensemble

How Good Are Large Language Models at Arithmetic Reasoning in Low-Resource Language Settings?—A Study on Yorùbá Numerical Probes with Minimal Contamination

University of Johannesburg Researchers Focus on Applied Sciences (Comparative Analysis of Clustering Algorithms for Unsupervised Segmentation of Dental Radiographs)

University of Johannesburg Researchers Have Provided New Study Findings on Engineering (Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression)

New Applied Sciences Research Has Been Reported by Researchers at University of Johannesburg (How Good Are Large Language Models at Arithmetic Reasoning in Low-Resource Language Settings?-A Study on Yoruba Numerical Probes with Minimal ...)

University of Johannesburg Researchers Report Research in Algorithms (SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection)

Study Findings from University of Johannesburg Update Knowledge in Blockchain Technology (Application of Blockchain Technology in Carbon Trading Market: A Systematic Review)

Dr Peter Olukanmi, Dr

Personal profile

Research Interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media