History has been made at Sefako Makgatho Health Sciences University (SMU) as Dr Phumudzo Lloyd Seabe becomes the first-ever PhD graduate from the Department of Mathematics and Applied Mathematics. This achievement not only marks a significant academic milestone for the University but also represents a powerful personal journey, rooted in legacy, discipline, and a vision for inclusive technological advancement.
Born and raised in Gogobole, a village in Venda, Limpopo, Seabe was raised in a home shaped by women of strength and conviction. “I was raised in a household led by women of great dignity and discipline,” he says. “My mother’s consistency taught me the power of hard work. My grandmother—sharp-witted and deeply principled—was the compass of our family.”
His grandmother, a retired domestic worker from the South African Air Force Base, had a profound influence on him. As the second of twelve grandchildren, he was always under her watchful eye. Her passing in April 2020, just over a year before he started his PhD, left a significant void. Yet her spirit continued to guide him. “She used to say, ‘Noma kubuhlungu, kodwa kulungile’—Even though it hurts, it is well,” he recalls. “That became my silent prayer during long nights of research and writing.”
In July 2021, Seabe began his PhD journey at SMU with a clear and ambitious research focus: to combine the tools of artificial intelligence (AI), behavioural finance, and traditional investment theory to analyse the highly volatile cryptocurrency market.
His thesis, titled Advancing Cryptocurrency Market Analysis and Investment Strategies: An Integrated Approach Using Machine Learning, Sentiment Analysis, and Factor Investing, presents a comprehensive framework for understanding and forecasting cryptocurrency market behaviour. It integrates advanced deep learning models—including LSTM – Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bi-Directional LSTM, and Temporal Attention Networks—with time series and sentiment data from over 48 million cryptocurrency-related tweets.
Using Natural Language Processing (NLP), he extracted real-time sentiment signals via Valence Aware Dictionary and sEntiment Reasoner (VADER) and RoBERTa, two of the leading sentiment analysis tools. These were integrated into hybrid models enhanced with SHapley Additive exPlanations (SHAP) explainability, allowing for transparency and interpretability of AI forecasts. In addition to technical innovation, Seabe revisited classical finance theories using Fama–MacBeth regressions and cross-sectional portfolio construction. His findings confirmed that even in digital, decentralised markets, traditional predictors like momentum and size continue to offer robust explanatory power.
His work resulted in four publications in DHET-accredited journals, including one paper cited over 140 times and nominated for the 2023 Best Paper Award, with the outcome to be announced in June 2025. These achievements underscore the global academic relevance and impact of his work.
Professor Maggie Aphane, Head of the Department of Mathematics and Applied Mathematics, praised this historic moment: “Dr Phumudzo Seabe has set a new record in the Department of Mathematics and Applied Mathematics by becoming the first PhD graduate from Medunsa, University of Limpopo (Medunsa Campus), and SMU. He successfully completed his PhD in an unprecedented timeframe. As Head of Department, it is a privilege for me to witness this achievement during my tenure. This accomplishment reflects my dedication to the university and the nation as a whole. I am committed to fostering the production of more PhD graduates.”
Seabe’s journey was not without sacrifice. Balancing full-time professional responsibilities alongside rigorous academic research required remarkable discipline and focus. “This journey was never just about research,” he says. “It was about honouring the sacrifices of my family, especially my grandmother and mother. Every model I built, every paper I wrote, was an offering to them.”
Now, as he graduates, Seabe continues to work at the intersection of financial intelligence, artificial intelligence, and behavioural insight. His vision is to build data-driven systems that are not only accurate but inclusive—technologies that reflect both innovation and the human condition. Seabe’s success is not only a personal victory but a beacon of possibility for rural communities and aspiring researchers across South Africa. He has not just earned a PhD—he has made history.
By Dimakatso Modise
