Prof. Rita Santos Inácio | Data Science and Deep Learning | Best Researcher Award

Prof. Rita Santos Inácio | Data Science and Deep Learning | Best Researcher Award

Professor, at Instituto Politécnico de Beja, Portugal.

Ana Rita Santos Inácio is a Quality Manager and Invited Adjunct Professor at the Polytechnic Institute of Beja. She holds a PhD in Food Science and Nutrition and has research experience in high-pressure technology applied to milk and cheese.

Professional Profile

Scopus

orcid

🎓 Education

– *PhD in Food Science and Nutrition*, Portuguese Catholic University of Porto – School of Biotechnology (2020)- *Master’s in Biotechnology – Food*, University of Aveiro (2013)- *Bachelor’s in Biotechnology*, University of Aveiro (2011)

💼 Experience

– *Quality Manager*, Sensory Laboratory, Polytechnic Institute of Beja (2023-present)- *Invited Adjunct Professor*, Department of Applied Technologies and Sciences, Polytechnic Institute of Beja (2020-present)- *Research Fellow*, University of Aveiro /QOPNA (2019-2020)

🔬 Research Interests

– *Food Science and Nutrition*: high-pressure technology, milk and cheese safety and quality- *Sensory Analysis*: sensory test sheets, sensory session planning and execution, data analysis- *Food Technology*: meat and fish technology, food safety and quality

🏆 Awards

– *”Summa Laude”*, PhD thesis (2020)- *FCT grant*, SFRH/BD/96576/2013 (2014-2019)

📚 Top Noted Publications

– Effect of high-pressure as a non-thermal pasteurisation technology for raw ewes’ milk and cheese safety and quality 🥛
– PhD thesis
– Effect of high-pressure on Serra da Estrela cheese 🧀
– Master’s thesis
– Second-generation bioethanol production: fermentation of acid sulphite liquor by free and immobilised Pichia stipitis 💡

Conclusion

Rita Santos Inácio’s research excellence, teaching experience, and professional activity make her a strong candidate for the Best Researcher Award. With further interdisciplinary collaboration and internationalization, she could further enhance the impact of her research and contribute to advancements in food science and nutrition.

Prof. Jing Wang | Brain-inspired Intelligent Algorithms | Best Research Award

Prof. Jing Wang | Brain-inspired Intelligent Algorithms | Best Research Award

professor, fudan university, China

Prof. Jing Wang is an Associate Researcher at the Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University. With expertise in brain-inspired intelligent algorithms, flexible wearable devices, and intelligent medical equipment, she has made significant contributions to academia and industry.

Profile

scholar

🎓 Education

Although specific educational details are not provided, her achievements suggest a strong foundation in science and technology.

👨‍🔬 Experience

– Associate Researcher at Fudan University- Jointly Appointed Scientist at Sinopharm Medical- Entrepreneurship Mentor at CEIBS- Led various national and regional projects- Collaborated with industry partners to develop innovative medical devices

🔍 Research Interest

– Associate Researcher at Fudan University- Jointly Appointed Scientist at Sinopharm Medical- Entrepreneurship Mentor at CEIBS- Led various national and regional projects- Collaborated with industry partners to develop innovative medical devices

🏆Awards and Honors

– Global Outstanding Contribution to Tech Innovation- Int’l Innovation Gold Medal (¥2M prize)- World High-Level Entrepreneur Leader- China Industry-University-Research Innovation Award- Shanghai Youth Entrepreneurship Elite

📚 Publications

– Published 35 SCI papers in top journals like Nature Electronics 📄
– Co-authored monograph “Flexible Wearable Medical Devices” 📚
– Granted 14 international/Chinese invention patents 📝

Conclusion

Prof. Jing Wang’s impressive publication record, innovative research, and significant industrial translation make her a strong candidate for the Best Researcher Award. Her prestigious awards and industry-academia contributions further demonstrate her expertise and impact. With some additional emphasis on societal impact and research methodology, she could further strengthen her application. Overall, she is a highly suitable candidate for this award.