Sep072026
Application deadline
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NSPS Best PhD Thesis Prize 2026
Applications are open for five prizes recognising outstanding doctoral research across the physical sciences.
Nigerian Society of Physical Sciences
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Doctoral research awards
Recognising outstanding PhD research across the physical sciences.
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2026 PhD Prize Winners
Celebrating exceptional doctoral research
Meet the researchers whose doctoral work is advancing the frontiers of the physical sciences in Nigeria.
Dr. Timilehin Gideon Shaba
Landmark University, Omu Aran, Kwara
Winning thesis
New Derivation of q-Differential and q-Convolution Operators on Certain Subclasses of Analytic Functions.
Dr. Temitayo Olamide Ale
Adekunle Ajasin University, Akungba Akoko, Ondo
Winning thesis
Geotechnical, Geophysical and Hydrogeochemical Modelling of Contaminants Flow From Dumpsites Around Owo and Ikare-Akoko, Southwestern Nigeria.
Dr. Paul Oyeyiola Adesina
Redeemer's University, Ede, Osun
Winning thesis
Vibrational Dynamics of Driven Oscillators with Phase-Modulated Potential Structures.
Dr. Temitope Ogunnupebi
Covenant University, Sango Ota, Ogun
Winning thesis
Structure-Based Design and Synthesis of Benzimidazole, Benzothiazole and other Arylated Derivatives as Potential Antimicrobial and Insecticidal Agents.
Dr. Bello Alhaji Buhari
Ahmadu Bello University, Zaria, Kaduna
Winning thesis
Web-based User Authentication and Access Control: An Enhanced Multi-Factor Biometric Cryptographic Scheme.
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Discover research updates, Society news, and achievements from across the NSPS community.
๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐ ๐๐๐๐: ๐๐. ๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐
ย The Nigerian Society of Physical Sciences is pleased to celebrate ๐๐ซ. ๐๐ฆ๐ฎ๐ฌ๐๐ญ ๐๐๐ฆ๐จ๐ง๐ข ๐๐ฅ๐๐ฐ๐๐ฅ๐ as our Spotlight Member of the Week. How solar-energy systems can be made more efficient when sunlight, temperature, shading, and environmental conditions are constantly changing and how physics, mathematical modelling, and computational methods can be transformed into practical solutions for the energy challenges faced by developing countries, are important questions that lie at the centre of Dr. Amusatโs scientific journey.
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๐๐ฎ๐ฉ๐๐ซ๐๐ฅ๐ฎ๐ข๐ ๐๐๐ฅ๐ข๐ฎ๐ฆ ๐๐จ๐ฎ๐ฅ๐ ๐๐ซ๐จ๐๐ฎ๐๐ ๐๐ฎ๐๐ง๐ญ๐ฎ๐ฆ ๐๐ข๐ญ๐ฌ ๐๐ข๐ญ๐ก ๐๐๐ ๐๐ข๐ฆ๐๐ฌ ๐ ๐๐ฐ๐๐ซ ๐๐ซ๐ซ๐จ๐ซ๐ฌ
Researchers have proposed an unusual new quantum bit built around superfluid helium-3 that calculations suggest could be around 100 times less error-prone than conventional superconducting qubits. The concept, developed by scientists at the University of Surrey in collaboration with Northwestern University, aims to tackle one of quantum computingโs biggest problems: protecting extremely fragile quantum information from environmental noise. Instead of storing information primarily in electrically charged superconducting circuits, the proposed device would exploit quantized mechanical oscillations in electrically neutral superfluid helium. Because the superfluid carries no electric charge, researchers predict that the system could be naturally less sensitive to some forms of electromagnetic and electrical noise that disturb today's quantum processors. The device remains theoretical and has not yet been experimentally demonstrated. The team's next major step is to build a prototype and test whether the predicted reduction in errors can be achieved in practice.
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๐ ๐ฎ๐ ๐ถ๐บ๐๐บ ๐๐ถ๐ธ๐ฒ๐น๐ถ๐ต๐ผ๐ผ๐ฑ ๐๐๐๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ณ๐ผ๐ฟ ๐ข๐ฟ๐ฑ๐ถ๐ป๐ฎ๐น ๐ฅ๐ฎ๐ป๐ฑ๐ผ๐บ๐ถ๐๐ฒ๐ฑ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐๐ฎ๐๐ฎ ๐๐ถ๐ฎ ๐๐ต๐ฒ ๐๐ ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ: ๐๐ฑ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ฎ๐ป๐ฑ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐
A recent study published in African Scientific Reports developed a maximum-likelihood framework for analysing sensitive four-category ordinal survey responses using a randomized-response mechanism based on a six-sided die. The approach protects respondent privacy while allowing the underlying category probabilities to be identified from scrambled responses. Because the true response category remains hidden, the study uses an expectation-maximization algorithm with closed-form updates to estimate the population distribution. Across five simulated response distributions and sample sizes up to 1,000, the maximum-likelihood estimator reduced mean squared error by up to 27% at n = 200 for polarized distributions and avoided the invalid probability estimates that affected the method-of-moments estimator in more than half of small polarized samples. The framework therefore provides a practical way to measure sensitive ordinal outcomes while preserving respondent trust.
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