Dr. Shonisani Ramashia | Technology | Best Academic Researcher Award

Dr. Shonisani Ramashia | Technology | Best Academic Researcher Award

Sen Lecturer/ HoD, University of Venda, South Africa

Dr. Shonisani Eugenia Ramashia is a South African food scientist and academic with extensive expertise in food science and technology. She currently serves as Head of the Department at the University of Venda and has held teaching and leadership roles locally and internationally, including a stint as Assistant Professor in India. Dr. Ramashia’s work emphasizes improving food nutritional quality and safety, with a commitment to advancing agricultural sciences and empowering communities through research and education. She is fluent in Tshivenda and holds multiple leadership and management qualifications in higher education.

Publication Profile

Scopus

Education 🎓📜

Dr. Ramashia earned her Ph.D. in Agriculture (Food Science & Technology) from the University of Venda in 2018, following a Master of Technology in Food Technology (Cum Laude) from Tshwane University of Technology in 2013. She holds a Bachelor of Science in Food Science & Technology from the University of Venda (2004). Complementing her technical expertise, she pursued postgraduate diplomas and certificates in Higher Education, Entrepreneurship, and Leadership from institutions including the University of KwaZulu-Natal and Nelson Mandela Metropolitan University. Currently, she is advancing her studies in Education Leadership Management at Botho University.

Experience 💼🔬

Dr. Ramashia has over 15 years of professional experience ranging from Senior Lab Technician to Assistant Professor and Department Head. She began her career as a Food Technologist at Foodcorp before moving into academia at the University of Venda, rising from Lecturer to Senior Lecturer and Head of Department. In 2022, she gained international experience as Assistant Professor at Shoolini University, India. She is currently co-facilitator of a postgraduate certificate in Entrepreneurship Management and Leadership, reflecting her blend of scientific expertise and academic leadership within higher education.

Awards and Honors 🏅🎖️

Dr. Ramashia’s distinguished career is marked by multiple academic and professional accolades, including graduating Cum Laude with her Master’s degree. She completed prestigious leadership programs such as the Women in Leadership Programme (WiL) at Nelson Mandela Metropolitan University and advanced management development courses at the University of Cape Town. Her ongoing commitment to professional growth is demonstrated by continuous postgraduate education and recognition as a leader in food science and academic administration. These honors reflect her dedication to excellence in research, teaching, and community engagement.

Research Focus 🔬🌱

Dr. Ramashia’s research centers on the nutritional, functional, and microbiological quality of food products, especially cereals, legumes, and underutilized crops like millet, Bambara groundnut, and sorghum. She explores food fortification, antioxidant activities, bioactive compounds, and consumer acceptability of novel and traditional foods. Her work also addresses food safety, microbial quality, and sustainable food processing innovations aimed at improving nutrition and health in Sub-Saharan Africa. This research supports food security and promotes the development of high-protein, gluten-free, and nutrient-enriched food products.

Conclusion ✅📘

Dr. Shonisani Eugenia Ramashia is a dedicated food scientist and educator whose impactful research and leadership contribute significantly to food technology and nutrition science in Africa. Her academic journey and professional roles reflect her passion for advancing food quality and safety, fostering innovation, and empowering communities through education. As a dynamic scholar and mentor, she continues to influence the nex generation of food scientists while addressing pressing nutritional challenges in developing regions, making her a key contributor to agricultural and food sciences.

📚 Top Publications by Dr. Shonisani Ramashia

  1. Chemical properties, antioxidant activities and metabolic profile of mixed blackjack and jute vegetables
    Bamidele, O.P.; Moyo, B.N.; Madala, N.E.; Ramashia, S.E. (2025). Food Chemistry, 488, 144885.
    Cited by 5+

  2. Effect of bioprocessing on the nutritional composition, antinutrients, functional properties and metabolites of Bambara groundnut and its prospective food applications: A review
    Mashau, M.E.; Ramatsetse, K.E.; Takalani, K.; Bamidele, O.P.; Ramashia, S.E. (2025). Molecules, 30, 2356.
    Cited by 3+

  3. Nutritional composition, antioxidant, and sensory characteristics of gluten-free biscuits produced from malted finger millet (Eleusine coracana) flours
    Murungweni, K.T., Ramashia, S.E., Mashau, M.E. (2025). Discovery Foods, 5(1), 120.
    Cited by 2+

  4. Nutritional Value and Consumer Acceptance of Non-Alcoholic Cereal-Based Beverages in Sub-Saharan Africa: A Review of Fortification, Supplementation, and Processing Innovations
    Ratau, M.A., Bamidele, O.P., Jideani, V.A., & Ramashia, S.E. (2025). Current Research in Nutrition and Food Science Journal, 13(1), 01-23.
    Cited by 4+

  5. Millets in sub-Saharan Africa: a review of the nutritional and bioactive composition, methods of processing and its developed products
    Ramashia, S. E., Onipe, O. O., Mashau, M. E., & Jideani, A. I. (2025). Discover Food, 5(1), 56.
    Cited by 6+

 

 

Ke Wu | Computer Science | Best Dissertation Award

Prof. Ke Wu | Computer Science | Best Dissertation Award

professor, China University of Geosciences (Wuhan), China

Dr. Ke Wu is a distinguished professor at the China University of Geosciences, specializing in hyperspectral remote sensing and its applications in geosciences 🌏. Born on October 2, 1981, in Hubei, China, Dr. Wu has established himself as a leading expert in his field, contributing significantly to research and education 📚. Fluent in both Chinese and English, he excels in both written and spoken communication, making him a valuable asset to the academic community.

Profile

ORCID

 

Education

Dr. Ke Wu holds a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2008) 🎓, where he also completed his B.S. in Information Engineering (2002) 🏫. His advanced education has provided a strong foundation for his research and teaching career in remote sensing and geophysics.

Experience

Since January 2020, Dr. Ke Wu has been a professor at the China University of Geosciences 👨‍🏫. Prior to this, he served as an associate professor from 2011 to 2019 and as a postdoctoral researcher in geophysics from 2009 to 2011. His extensive experience in academia has enabled him to mentor many students and contribute to numerous research projects.

Research Interests

Dr. Ke Wu’s research interests focus on hyperspectral remote sensed image processing and its applications in geosciences 🔬. He has led several significant research projects funded by the National Natural Science Foundation of China and other prestigious organizations. His work aims to advance the understanding and practical applications of remote sensing technologies.

Awards

In recognition of his contributions to the field, Dr. Ke Wu and his team have received numerous awards 🏆. Notably, in 2022, they won the third prize in the National Hyperspectral Satellite Remote Sensing Image Intelligent Processing and Industry Application Competition of the “Obit Cup”. His group also secured the third prize in the South Division of the “Yuan Chuang Cup” Innovation and Creativity Competition in 2019 and the first prize of the Surveying and Mapping Science and Technology Progress Award of the China Society of Surveying, Mapping, and Geographic Information in 2017.

Publications

Junfei Zhong, Ke Wu, Ying Xu* (2024). “Deep Spatial Feedback Refined Network with Multi-Level Feature Fusion for Hyperspectral Image Sub-pixel Mapping,” IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2024.3419157Cited by: 3 articles

Ke Wu, Fan Yang, Huize Liu, Ying Xu* (2024). “Detection of coral reef bleaching by multitemporal Sentinel-2 data using the PU-bagging algorithm: A feasibility study at Lizard Island,” Remote Sens. DOI: 10.3390/rs16132473Cited by: 5 articles

Ke Wu, Yanting Zhan, Ying An, Suyi Li* (2024). “Multiscale Feature Search-Based Graph Convolutional Network for Hyperspectral Image Classification,” Remote Sens. DOI: 10.3390/rs16132328Cited by: 4 articles

Wenjie Tang, Ke Wu, Yuxiang Zhang, Yanting Zhan* (2023). “A Siamese Network Based on Multiple Attention and Multilayer Transformer for Change Detection,” IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2023.3325220Cited by: 6 articles

Yanting Zhan, Ke Wu, Yanni Dong* (2022). “Enhanced Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2022.3197934Cited by: 8 articles