Gregorio Gonzalez | Materials Science | Best Researcher Award

Assoc. Prof. Dr. Gregorio Gonzalez | Materials Science | Best Researcher Award

Associate Professor at ITSM, Mexico

Dr. Gregorio Gonzalez Zamarripa is an accomplished researcher and Associate Professor at Tecnológico Nacional de México, Instituto Tecnológico Superior de Monclova. With a PhD in Materials Science from Saltillo Institute of Technology (2011), he specializes in hydrometallurgy, waste recovery, and advanced material processing. His career spans over 46 years in basic sciences and engineering, focusing on metal recovery from industrial by-products and developing innovative environmental solutions. Dr. Zamarripa is a member of the National System of Researchers (SNI) since 2013 and serves as a consultant for Recicladora Limon de Monclova, applying his expertise in metallurgy. He has published 18 research papers in JCR and Scopus journals and holds two patents related to metal extraction and industrial waste recycling. His work extends to mentoring graduate students and contributing to the scientific community through editorial roles and thesis evaluations. With a strong commitment to sustainable practices and technological innovation, Dr. Zamarripa’s research significantly impacts both academic and industrial fields. His dedication to advancing materials science and his continuous contributions to industrial innovation make him a distinguished candidate for the Best Scholar Award in Research.

Professional Profile

Education

Dr. Gregorio Gonzalez Zamarripa holds a PhD in Materials Science from Saltillo Institute of Technology, which he earned in 2011. His doctoral research focused on hydrometallurgical processes for the recovery of precious metals, earning him the Best Doctoral Thesis Award from the General Direction in Higher Technological Education (DGEST), Mexico. In addition to his PhD, he pursued advanced graduate coursework in Metallic Materials and Materials Science Engineering at Instituto Tecnológico Superior de Monclova (ITSM) between 2018 and 2024. Dr. Zamarripa’s academic journey is marked by a deep focus on applied material sciences, with expertise in developing sustainable methods for metal extraction and wastewater treatment. His educational background combines both theoretical knowledge and practical applications, bridging the gap between scientific research and industrial needs. Over his career, he has expanded his knowledge in areas such as pyrolysis, nanocomposites, and metallurgical waste recycling, reflecting his continuous pursuit of scientific excellence and technological innovation. His education forms the foundation for his multidisciplinary research and his significant contributions to the fields of materials engineering and environmental sustainability.

Professional Experience

Dr. Gregorio Gonzalez Zamarripa currently serves as an Associate Professor at Tecnológico Nacional de México, Instituto Tecnológico Superior de Monclova, where he has been contributing since 2011. His professional journey encompasses 46 years of experience in basic sciences and engineering, with a specific focus on materials recovery from industrial by-products. As a researcher in hydrometallurgy, he leads projects on metal extraction, waste management, and the development of nanomaterials. Beyond academia, he actively collaborates with Recicladora Limon de Monclova as a consultant, offering expertise in metallurgical processes and waste valorization. Dr. Zamarripa also mentors graduate students in mechanical engineering and renewable energy, contributing to the development of the next generation of researchers. His editorial roles include serving as a JCR reviewer for the Hydrometallurgy journal and acting as a CONACYT evaluator. He also participates as an external thesis reviewer for doctoral candidates at Saltillo Institute of Technology. His combined academic and industrial experiences position him as a leading expert in the fields of metal recovery, sustainable technology, and advanced materials science, making him a valuable asset to both the scientific community and industrial partners.

Research Interests

Dr. Gregorio Gonzalez Zamarripa’s research interests center on hydrometallurgy, wastewater treatment, and advanced material recovery. His work emphasizes developing sustainable techniques for metal extraction from industrial residues, particularly focusing on gold, silver, and other precious metals. He is also interested in pyrolysis, exploring innovative methods to convert plastic waste into hydrocarbons, addressing both environmental and industrial challenges. Another key area of interest is the development of graphene-based nanocomposites for antibacterial applications, which has potential implications for healthcare and environmental safety. His recent projects include the removal of heavy metals from wastewater and the creation of magnetic precursor powders from strontium-contaminated water. Dr. Zamarripa is also engaged in waste valorization, focusing on transforming industrial by-products into valuable materials. His multidisciplinary research reflects a commitment to technological innovation, sustainability, and practical solutions to industrial challenges. Through ongoing collaborations with academic and industrial partners, he continues to explore new frontiers in materials science, with a focus on delivering real-world applications that bridge scientific research and industrial implementation.

Research Skills

Dr. Gregorio Gonzalez Zamarripa possesses a diverse set of research skills across multiple domains in materials science and environmental engineering. He is highly proficient in hydrometallurgical processes, including the extraction and recovery of precious metals such as gold and silver from industrial waste. His expertise extends to pyrolysis techniques, where he has developed processes to convert plastic waste into hydrocarbons for energy recovery. Additionally, Dr. Zamarripa is skilled in the synthesis of nanomaterials, including graphene-based nanocomposites, for antibacterial and industrial applications. He has hands-on experience in wastewater treatment, specializing in the removal of heavy metals and contaminants from industrial effluents. His technical capabilities also include patent development, with two patents related to metal recovery and industrial waste recycling. As a research mentor, he guides graduate students in advanced materials characterization, analytical techniques, and industrial process optimization. His comprehensive research skills, combined with industry-focused applications, make him a versatile researcher who addresses critical challenges in sustainable technology and environmental innovation.

Awards and Honors

Dr. Gregorio Gonzalez Zamarripa’s distinguished career has been recognized through numerous awards and honors. In 2011, he received the Best Doctoral Thesis Award from General Direction in Higher Technological Education (DGEST), Mexico, for his groundbreaking research in hydrometallurgy. Since 2013, he has been a member of the National System of Researchers (SNI), acknowledging his sustained contributions to scientific research in materials science. His work has also earned him two patents, including a process for strontium removal and an intensive melting furnace for recovering metals from slags, underscoring his innovative approach to industrial challenges. Dr. Zamarripa has further distinguished himself as a CONACYT evaluator and external thesis reviewer at Saltillo Institute of Technology, reflecting his academic leadership and expertise. His 18 publications in JCR and Scopus journals highlight his research excellence and global impact. These accolades reflect his commitment to advancing materials science, sustainable solutions, and technological innovation on both national and international levels.

Conclusion

Dr. Gregorio Gonzalez Zamarripa is an exceptional candidate for the Best Scholar Award in Research, demonstrating outstanding expertise in materials science, hydrometallurgy, and waste recovery. With 46 years of academic and professional experience, 18 publications, and two patents, he has made significant contributions to both scientific knowledge and industrial practice. His work addresses real-world challenges, such as metal recovery, waste valorization, and sustainable processes, making a lasting impact in both academia and industry. His dedication to mentorship, collaboration, and technological innovation makes him an ideal candidate for this prestigious recognition.

Publications Top Notes

  1. Title: “Recovery of fine particles of activated carbon with gold by the electrocoagulation process using a Taguchi experimental design”
  • Authors: Rodrigo Martínez-Peñuñuri, José R. Parga-Torres, Jesús L. Valenzuela-García, Alejandro M. García-Alegría, Gregorio González-Zamarripa
  • Year: 2023

 

Fatemeh Aghagoli | Insight Award | Best Researcher Award

Dr. Fatemeh Aghagoli | Insight Award | Best Researcher Award

Ph.D student at Iran University of Science and Technology, Iran.

Fatemeh Aghagoli is an Iranian researcher and Ph.D. student at Iran University of Science and Technology, focusing on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She holds a master’s degree in Mathematical Statistics from the same university and a bachelor’s degree in Statistics from the University of Qom, Iran. Fatemeh is proficient in R, MATLAB, SPSS, Python, and Microsoft Office software. Her research includes projects on brain MRI segmentation, tumor detection in mammography images, and entropy-based methods in image segmentation. She is a member of the National Elite Foundation of Iran and has presented her work at international conferences.

Professional Profiles:

Education:

Fatemeh Aghagoli’s educational background includes a Ph.D. program at the Iran University of Science and Technology, where she is studying in the Faculty of Mathematics and Computer Science. She was accepted into the program without a test as a brilliant talent. Additionally, Fatemeh holds a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran.

Research Experience:

Fatemeh Aghagoli is a dedicated researcher with a focus on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is currently pursuing a Ph.D. at the Iran University of Science and Technology, Faculty of Mathematics and Computer Science, under the supervision of Professor Rahman Farnoosh. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran, followed by a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Fatemeh’s research has yielded significant contributions, including the development of improved mixtures of factor analyzers based on dynamic co-clustering for the segmentation of brain MRI images. This work was published in Neurocomputing in 2024. She has also devised a novel approach for automatic tumor detection and localization in mammography images using a mixture of factor analyzers based on co-clustering, which was published in Biomedical Signal Processing and Control in 2024. Furthermore, Fatemeh has presented her research on entropy-based nonparametric methods for mammography image segmentation and the use of the k-mean algorithm and mean entropy in MRI images for brain tumor lesion detection at conferences.

Research Interest:

Fatemeh Aghagoli’s research interests include machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is particularly interested in applying these techniques to improve the analysis and interpretation of medical imaging data, with a focus on areas such as brain MRI segmentation and tumor detection in mammography images. Her work aims to develop innovative solutions that can enhance the diagnosis and treatment of medical conditions.

Skills:

Fatemeh Aghagoli is proficient in a variety of software tools and programming languages, including R, MATLAB, SPSS, Python, and Microsoft Office. Her skills in these areas enable her to effectively analyze data, develop algorithms, and implement solutions in her research.