Teresa Mata | Engineering | Best Researcher Award

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Dr. Teresa Mata | Engineering | Best Researcher Award

Dr. Teresa Mata, INEGI – Institute of Science and Innovation in Mechanical and Industrial Engineering / LAETA – Associate Laboratory for Energy, Transports and Aerospace, Portugal

Dr. Teresa Margarida Correia de Poço Mata is a Principal Researcher at INEGI, with over 25 years of experience in Chemical and Environmental Engineering. She holds a PhD in Chemical Engineering from the University of Porto and has conducted research at the US EPA through a Fulbright scholarship. Her expertise spans Life Cycle Assessment, Sustainability, Biofuels, and Microalgae Biorefineries. With 129+ publications, she is ranked among the top 2% of researchers globally. Dr. Mata collaborates internationally and has led numerous R&D projects, contributing significantly to engineering and sustainability solutions. 🌿⚙️📚

 

Publication Profile

Scopus

Orcid

Google Scholar

Education 📚

Dr. Mata holds a PhD in Chemical Engineering (2004) from the University of Porto, where she also completed a BSc in Chemical Engineering (1995), an MSc in Environmental Engineering (1999), and an MBA (2007). She conducted research at the US EPA during her PhD, supported by a Fulbright scholarship, highlighting her international exposure and leadership potential in environmental research.

Recognition 📖

Dr. Mata has authored 129+ ISI journal publications, with 45 papers published in the last 5 years, primarily in high-impact journals. Her research has earned her inclusion in the top 2% of most influential researchers globally, according to Stanford University, and she boasts an H-index of 35 (Scopus). She received the CNOIV Prize and FEUP Scientific Recognition Award, marking her as an esteemed figure in her field.

Conclusion 🏆

Dr. Teresa Mata’s outstanding academic achievements, international collaborations, prolific publications, and industry partnerships make her a strong contender for the Research for Best Researcher Award. Her contributions in sustainability and biofuels research, combined with her leadership in prestigious international projects, align with the award’s focus on impactful and innovative research.

Publication Top Notes

  • Microalgae for biodiesel production and other applications: a review 🌱⚡ – Cited by 7601, 2010
  • Parametric study of a brewery effluent treatment by microalgae Scenedesmus obliquus 🍺🧪 – Cited by 272, 2012
  • Valorization of coffee grounds for biodiesel production ☕🔄 – Cited by 237, 2012
  • Bio-refinery approach for spent coffee grounds valorization ♻️☕ – Cited by 235, 2018
  • Framework for sustainability metrics 🌍📊 – Cited by 219, 2007
  • Simulation and life cycle assessment of process design alternatives for biodiesel production from waste vegetable oils ♻️🛢️ – Cited by 216, 2010
  • Microalgae for biotechnological applications: Cultivation, harvesting and biomass processing 🌱🔬 – Cited by 174, 2020
  • Spent coffee grounds for biodiesel production and other applications ☕🔧 – Cited by 163, 2014
  • Education for sustainability: challenges and trends 🎓🌱 – Cited by 145, 2006
  • Microalgae biomolecules: Extraction, separation and purification methods 🌱🔬 – Cited by 135, 2020

 

 

 

 

 

 

 

Eyob Abera Deboch | Communication Engineering | Best Researcher Award

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Mr. Eyob Abera Deboch | Communication Engineering | Best Researcher Award

Mr. Eyob Abera Deboch, Shenzhen institute of advance technology, Ethiopia

🌟 Eyob Abera Deboch is an Ethiopian computer vision specialist with a master’s degree from the University of Electronic Science and Technology of China. With over three years of experience, he excels in deep learning, particularly in image fusion, classification, and detection. Eyob has showcased his expertise through impactful research, winning awards such as first prize in the Scientific Innovation Competition Contest. He’s published in esteemed journals and demonstrated leadership in academia and extracurricular activities. Eyob is fluent in Python, MATLAB, and C/C++, with a passion for leveraging AI for real-world applications. 🖥️🔍

 

Publication Profile

Scopus

Education

🎓 Eyob Abera Deboch pursued his academic journey at the University of Electronic Science and Technology of China, where he attained both his Bachelor’s and Master’s degrees. Graduating with honors, Eyob’s Master’s thesis delved into “Research on Image fusion with the deep learning framework,” showcasing his expertise in computer vision. Prior to this, his Bachelor’s thesis focused on “Image Fusion Algorithms based on Machine learning,” laying the foundation for his subsequent research endeavors. With a strong academic background in Electronic Information Engineering and Information and Communication Engineering, Eyob has demonstrated a commitment to advancing the field of AI through innovative research and academic excellence. 📚✨

 

Experience

🌟 Eyob Abera Deboch has a diverse range of experiences, showcasing his expertise in computer vision and deep learning. During his master’s program, he designed and implemented a cutting-edge deep learning model for infrared and visible image fusion, under the guidance of Associate Prof. Qi Jin. As a dedicated school assistant, Eyob provided invaluable support to students and faculty at the School of Information and Communication Engineering. His bachelor’s thesis, advised by Associate Prof. Wu Ruiqing, focused on developing an Ensemble Network for Infrared and Visible image fusion. Additionally, Eyob excelled in freelance projects, including ball height detection and dataset preparation, and earned recognition for his Raspberry Pi face detection project, winning the first prize in a scientific innovation competition. 🖥️🏆

 

Awards

🏅 Eyob Abera Deboch has garnered numerous accolades and scholarships, underscoring his exceptional academic and extracurricular achievements. Notably, he secured the prestigious Chinese Government Scholarship, enabling him to pursue his master’s degree. Throughout his academic journey, Eyob earned the Academic Achievement Award multiple times, demonstrating consistent excellence. He clinched the top spot in the Scientific Innovation Competition Contest and received recognition for his contributions to various workshops and competitions. Eyob’s linguistic prowess extends to English and Amharic, with proficient communication in Chinese. His dedication to both scholarly pursuits and sports exemplifies a well-rounded individual committed to success. 🎓🌟

 

Research Focus

🔍 Eyob Abera Deboch’s research focuses primarily on computer vision and deep learning applications, with a specialization in image fusion and enhancement. Through projects like “A deep learning and image enhancement based pipeline for infrared and visible image fusion,” Eyob demonstrates a keen interest in leveraging advanced algorithms to improve image quality and analysis. His work extends to areas such as automatic image contrast enhancement, utilizing reinforcement learning techniques. Eyob’s dedication to enhancing image processing techniques showcases his commitment to advancing technology’s capabilities in visual data analysis. With a strong foundation in these domains, he continues to contribute innovative solutions to the field, driving progress in computer vision. 🖥️🌟

 

Publication Top Notes

Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images