NSPS Best PhD Thesis Prize 2026
Applications are open for five prizes recognising outstanding doctoral research across the physical sciences.
NSPS is a learned academic society promoting research, conferences, peer-reviewed publications, professional membership, prizes, and scientific recognition across the physical sciences.
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Applications are open for five prizes recognising outstanding doctoral research across the physical sciences.
Meet the researchers whose doctoral work is advancing the frontiers of the physical sciences in Nigeria.
Landmark University, Omu Aran, Kwara
Adekunle Ajasin University, Akungba Akoko, Ondo
Redeemer's University, Ede, Osun
Covenant University, Sango Ota, Ogun
Ahmadu Bello University, Zaria, Kaduna

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Create meaningful connections across disciplines and career stages.
Celebrate research, reviewing, fellowship, and scientific leadership.
Original research and scholarly contributions across the physical sciences.
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ProceedingsConference papers, scientific proceedings, and scholarly records.
Discover research updates, Society news, and achievements from across the NSPS community.
A computer scientist at the Indian Institute of Technology Gandhinagar (IIT Gandhinagar) has developed an improved algorithm that addresses a longstanding limitation in calculating shortest distances across large networks. The breakthrough extends a mathematical accuracy guarantee to closely connected points while preserving the computational efficiency of an influential algorithm introduced in 1996. The research, led by Dr. Manoj Gupta, Associate Professor at IIT Gandhinagar, focuses on the All-Pairs Shortest Paths (APSP) problem, a fundamental challenge in computer science that involves determining the shortest distance between every possible pair of points in a network. By introducing a more sophisticated method for sampling network connections at multiple scales, Gupta improved the reliability of approximate distance calculations without increasing the algorithm's overall computational complexity.
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A recent study published in African Scientific Reports compared ARIMA and ETS models for seven-day-ahead wind-speed forecasting across twelve meteorological stations in Pakistan. The researchers used an expanding-window validation approach with ten successive training-test splits, allowing both models to be repeatedly updated as new observations became available. Forecast performance was evaluated using RMSE and MAPE, with a naรฏve model serving as a benchmark and the DieboldโMariano test used to compare forecast errors. ARIMA performed better at seven stations, ETS at two, while both models produced similar results at three stations. The DieboldโMariano test also generally supported the stronger performance of ARIMA. Overall, the findings suggest that ARIMA is the more consistent model for short-term wind-speed forecasting across the analysed stations, although location-specific differences indicate that model selection may still need to be tailored to individual stations.
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What began in 2007 with a young physicist graduating from the University of Uyo has developed into a distinguished research career spanning quantum mechanics, molecular physics, condensed-matter physics, and computational modelling.
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