Month: May 2024

Education And Experience

Dr.Matthew R. Siebert, an Associate Professor of Chemistry & Biochemistry at Missouri State University, has a distinguished academic background, including a Ph.D. in Chemistry from the University of California, Davis. His research focuses on theoretical organic chemistry and electronic structure calculations, with significant contributions to renewable fuels research. Matthew has secured substantial funding for projects such as biodiesel and gasoline production from soybeans. He has published extensively and is a member of the American Chemical Society. His work has garnered attention in local media and scientific conferences, showcasing his impact in the field.

Professional Development

Dr.Matthew R. Siebert, an Associate Professor of Chemistry & Biochemistry at Missouri State University, has continually advanced his career through innovative research and dedicated teaching. His involvement in diverse projects, from investigating gasoline production from soybeans to promoting learning in chemistry through interactive videos, reflects his commitment to scientific exploration and education. Matthew’s contributions extend beyond academia, as his work has been recognized in local media and scientific conferences. His active engagement in professional societies, such as the American Chemical Society, demonstrates his ongoing pursuit of knowledge and excellence in his field.

Research Focus

Dr.Matthew R. Siebert’s research focuses on theoretical organic chemistry, density functional theory, and electronic structure calculations. His work includes projects on biodiesel conversion, gasoline production from soybeans, and non-covalent interactions in chemistry. He has a strong publication record with 28 peer-reviewed articles and has secured funding for various research projects. Siebert’s contributions have been recognized through local media coverage and high-impact presentations at scientific conferences. His dedication to advancing these fields is evident through his active involvement in research and education.

Publication Top Notes

Publication: Computational Prediction of 1H and 13C Chemical Shifts: A Useful Tool for Natural Product, Mechanistic, and Synthetic Organic Chemistry
Cited By: 1212
Year: 2012
Publication: Differentiating mechanistic possibilities for the thermal, intramolecular [2+2] cycloaddition of Allene−Ynes
Cited By: 90
Year: 2010
Publication: Applied computational chemistry for the blind and visually impaired
Cited By: 84
Year: 2012
Publication: Direct Dynamics Simulations of the Product Channels and Atomistic Mechanisms for the OH− + CH3I Reaction. Comparison with Experiment
Cited By: 83
Year: 2013
Publication: The need for enzymatic steering in abietic acid biosynthesis: gas-phase chemical dynamics simulations of carbocation rearrangements on a bifurcating potential energy surface
Cited By: 81
Year: 2011
Publication: Reaction dynamics of temperature-variable anion water clusters studied with crossed beams and by direct dynamics
Cited By: 64
Year: 2012
Publication: Evaluating the accuracy of Hessian approximations for direct dynamics simulations
Cited By: 57
Year: 2013
Publication: Transition-state complexation in palladium-promoted [3, 3] sigmatropic shifts
Cited By: 57
Year: 2007

PedroReyes Norambuena | Engineering | Best Researcher Award

Posted on 31/05/202401/06/2024 by sciencefather

PedroReyes Norambuena | Engineering| Best Researcher Award

Mr. PedroReyes Norambuena, Universidad Católica del Norte ,Chile

Mr.Pedro Jonathan Reyes Norambuena, a Mechanical Civil Engineer with an MBA and a Master’s in Mathematics and Computer Engineering, is currently a PhD candidate in Mathematics and Applications at the University of Vigo, Spain. He is an academic at the Universidad Católica del Norte, Chile, teaching Industrial Engineering courses like Quality, Reliability, Asset Management, and Applied Statistics. His research focuses on sustainable urban planning and the application of machine learning in engineering. He has published numerous papers and holds various certifications, including a Black Belt Six Sigma. Pedro is dedicated to advancing engineering and urban infrastructure through innovative research.

Publication Profile

Education And Experience

Mr.Pedro Jonathan Reyes Norambuena is a highly qualified Mechanical Civil Engineer, holding an MBA and a Master’s in Mathematics and Computer Engineering. Currently pursuing a PhD in Mathematics & Applications, he is deeply involved in academia at the Universidad Católica del Norte, Chile, where he teaches Industrial Engineering courses. Pedro has a strong publication record and has contributed significantly to the field of sustainable urban planning and machine learning. His extensive experience includes roles as a Project Engineer at SIEMENS S.A. and leadership positions within the School of Engineering, Universidad Católica del Norte. Pedro is committed to advancing engineering education and research.

Professional Development

Mr.Pedro Jonathan Reyes Norambuena has pursued continuous professional development throughout his career, showcasing a commitment to enhancing his skills and knowledge. His achievements include a PhD candidacy in Mathematics & Applications, an MBA, and a Master’s in Mathematics and Computer Engineering. Pedro’s diverse educational background is complemented by his extensive teaching experience in Industrial Engineering, where he covers topics such as Quality, Reliability, Asset Management, and Applied Statistics. His active involvement in academia and research, combined with his leadership roles and consulting projects, reflects his dedication to personal and professional growth. Pedro’s enthusiasm for learning is evident in his pursuit of certifications and participation in various training programs.

Research Focus

Mr.Pedro Jonathan Reyes Norambuena’s research focuses on applying advanced mathematical and computational models to solve engineering and urban planning problems. His work includes the development of multi-criteria decision-making models for sustainable urban development and policy-making in educational settings. He also explores the use of machine learning techniques for simulating pedestrian dynamics. This interdisciplinary approach combines engineering, mathematics, and computer science to address real-world challenges, aiming to optimize urban infrastructure and improve decision-making processes in various fields.

Publication Top Notes

Mulugeta Adibaru Kiflie| Deep Learning | Best Researcher Award

Posted on 31/05/202401/06/2024 by sciencefather

Mulugeta Adibaru Kiflie| Deep Learning| Best Researcher Award

Dr.Mulugeta Adibaru Kiflie, Adama Science and Technology University,Colombia

Dr.Mulugeta Adibaru Kiflie, PhD Cand. is an Assistant Professor specializing in Computer Science and Engineering. With over 14 years of experience in academia and industry, he excels in digital entrepreneurship, IT education, machine learning, and ICT management. He leverages Python for data analysis in agriculture, health, education, and business, aiming to optimize digitalization for sustainable development. Mulugeta is also adept in project management, technical proposal writing, and mentoring. His extensive skill set includes advanced statistical models and proficiency in various software packages.

Publication Profile

Education And Experience

Dr.Mulugeta Adibaru Kiflie is a dedicated professional in digital entrepreneurship, IT education, and machine learning. With over 14 years of experience in academia and industry, he excels in digital marketing analysis, data management, and statistical modeling. Mulugeta is passionate about utilizing Python for agricultural, health, and business data analysis to predict outcomes and uncover trends. As an assistant professor and machine learning research fellow, he mentors students, conducts research, and delivers professional training. Fluent in English and Amharic, he holds multiple certifications in deep learning, data science, and business intelligence. 👨‍🏫

Professional Development

Dr.Mulugeta Adibaru Kiflie, a Ph.D. candidate and Assistant Professor at Adama Science and Technology University, Ethiopia, is a dedicated computer scientist and engineer with over 14 years of experience in academia and industry. His expertise includes digital entrepreneurship, IT education, machine learning, data analytics, and ICT management. Mulugeta excels in leveraging Python for data analysis across various fields, such as healthcare and agriculture, to predict outcomes and optimize digital practices for sustainable development. He is proficient in statistical software like SPSS, R, and STATA, and is committed to mentoring students and conducting innovative research in AI and digital technology.

Research Focus

Dr. Mulugeta Adibaru Kiflie’s research focuses on various applications of computer science and engineering in fields such as healthcare, agriculture, and education. His expertise includes digital entrepreneurship, IT education, machine learning, and data analysis. His work emphasizes the use of deep learning and machine learning techniques to address issues like crop disease detection, precision agriculture, electronic health record analysis, and species identification. Additionally, he is skilled in digital marketing analysis, database management, and statistical modeling, making significant contributions to the optimization of digital practices for sustainable development.

Publication Top Notes

EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom (2024) – Computers, DOI: 10.3390/computers13020038, cited by: N/A
Deep Learning for Medicinal Plant Species Classification and Recognition: A Systematic Review (2024) – Frontiers, cited by: N/A
Energy-Based Simulation and Performance Evaluation of Routing Protocols of Wireless Sensor Networks (WSN) (2016) – International Journal of Computer Science and Telecommunications, vol. 7, no. 6, pp. 1–8, cited by: N/A
Simulation-Based Performance Comparison of Reactive and Proactive Routing Protocols of MANET under CBR and TCP Traffic Model (2016) – International Journal of Engineering Research, vol. 5, no. 02, cited by: N/A

MarwaGhanem | Sustainability | Best Researcher Award

Posted on 30/05/202401/06/2024 by sciencefather

MarwaGhanem | Sustainability | Best Researcher Award

Assoc Prof Dr. MarwaGhanem, Suez Canal University, Egypt, United States.

Dr. Marwa Magdy Ghanem Abdelfadeel (Merve Ayyad) is an Associate Professor of Management with Turkish and Egyptian nationalities. Born on May 14, 1978, she holds a PhD in Management from the University of Hull, UK. Currently, she is a part-time Assistant Professor at Qatar University and an Associate Professor at Suez Canal University. Her research focuses on sustainable tourism and management. Dr. Ghanem is an active consultant for the International Labour Organization (ILO) and has a strong publication record, including works in prominent journals such as Elsevier and Emerald. She resides in Doha, Qatar.

Publication Profile

Education And Experience

Dr. Marwa Magdy Ghanem Abdelfadeel is an accomplished Associate Professor of Management, holding Turkish and Egyptian nationalities . With a PhD in Management from the University of Hull, UK (2011), she has an extensive academic background, including an M.Sc. and B.Sc. in Tourism Studies from Suez Canal University . Currently, she is a part-time Assistant Professor at Qatar University and an Associate Professor at Suez Canal University. Dr. Abdelfadeel has also served as a consultant for the International Labour Organization (ILO) and actively contributes to various academic journals as a reviewer .

Professional Development

Dr. Marwa Magdy Ghanem Abdelfadeel (Merve Ayyad) is an Associate Professor of Management with dual nationalities: Turkish and Egyptian . She holds a PhD in Management from the University of Hull, UK (2011) , and has completed the Oxford Leading Sustainable Corporations Programme at the University of Oxford (2023). Since 2018, she has been a part-time Assistant Professor at Qatar University and an Associate Professor of Tourism Management at Suez Canal University since 2017. Her extensive academic background and experience in tourism studies, along with her active roles in editorial and reviewing capacities, highlight her expertise and commitment to the field .

Research Focus

Dr. Marwa Magdy Ghanem Abdelfadeel (also known as Merve Ayyad) is an Associate Professor of Management with a focus on tourism, sustainability, and public-private partnerships. Her research explores themes such as sustainable purchasing behaviors, resilience-based public-private partnerships, and workplace sexual harassment. Dr. Ghanem has an extensive publication record and has served as a reviewer and editor for several esteemed journals. She is actively involved in professional activities, including consultancy roles with the International Labour Organization. Her academic journey includes a PhD in Management from the University of Hull and various academic appointments in Qatar and Egypt.

Publication Top Notes

FaezehBagheri | Digitalization | Best Researcher Award

Posted on 28/05/202428/05/2024 by sciencefather

FaezehBagheri | Digitalization | Best Researcher Award

Ms. FaezehBagheri, University of Tennessee, Knoxville,United States.

Ms. Faezeh Bagheri is a PhD candidate in Industrial Engineering at the University of Tennessee, Knoxville, USA . Born on May 31, 1993, in Iran , she specializes in optimization methods for systems modeling and prediction . Ms. Bagheri holds a master’s degree from Shiraz University of Technology and a bachelor’s from Babol Noshirvani University of Technology, both in Iran . Her research interests include production planning, digitalization, and sustainability . She has published extensively and has received several awards for her academic excellence . Ms. Bagheri also completed a research fellowship at the University of Genoa, Italy .

Publication Profile

Education And Experience

Ms. Faezeh Bagheri is an accomplished PhD student in Industrial Engineering at the University of Tennessee, Knoxville, USA , specializing in optimization methods for systems modeling and prediction . She holds an MSc in Industrial Engineering from Shiraz University of Technology, Iran , and a BSc from Babol Noshirvani University of Technology. With a strong research background, Ms. Bagheri has held research fellowships in Italy , focusing on optimization, digitalization, and sustainability. Her published work spans optimization, manufacturing scheduling, and supply chain management, contributing significantly to her field . Ms. Bagheri is proficient in various programming and analytical tools, enhancing her research impact .

Professional Development

Ms. Faezeh Bagheri is an accomplished researcher and academic with extensive experience in industrial engineering and optimization . She is currently pursuing her PhD at the University of Tennessee, Knoxville, where she focuses on systems modeling and prediction methods . Ms. Bagheri’s academic journey includes a research fellowship at the University of Genoa, Italy , where she specialized in optimization, digitalization, production planning, and sustainability . Her educational background also encompasses a Master’s degree from Shiraz University of Technology and a Bachelor’s degree from Babol Noshirvani University of Technology, both in Iran . Ms. Bagheri has co-taught courses and co-supervised theses, demonstrating her dedication to academic excellence and mentorship 👩‍🏫 .

Research Focus

Ms. Faezeh Bagheri is an accomplished PhD student in Industrial Engineering at the University of Tennessee, Knoxville, USA , specializing in optimization methods for systems modeling and prediction . She holds an MSc in Industrial Engineering from Shiraz University of Technology, Iran , and a BSc from Babol Noshirvani University of Technology. With a strong research background, Ms. Bagheri has held research fellowships in Italy , focusing on optimization, digitalization, and sustainability. Her published work spans optimization, manufacturing scheduling, and supply chain management, contributing significantly to her field . Ms. Bagheri is proficient in various programming and analytical tools, enhancing her research impact .

Publication Top Notes

DaniaGonzález Couret | Urbabanism | Lifetime achievement Award

Posted on 28/05/2024 by sciencefather

DaniaGonzález Couret | Urbabanism | Lifetime achievement Award

Prof Dr. DaniaGonzález Couret,Technological University of Havana,Cuba.

Prof Dr.Dania González Couret is an Emeritus Professor at the Technological University of Havana, specializing in Architecture and Urbanism. With 46 years of experience, she has authored over 270 publications, including 6 books and numerous journal articles. Her research focuses on energy, sustainability, and bioclimatic design. She has presented papers at over 300 international conferences and supervised more than 200 theses. Among her numerous accolades are awards from the Royal Institute of British Architects and Elsevier. Dania is dedicated to improving housing quality and urban sustainability through innovative architectural solutions.

Publication Profile

Education And Experience

Dr.Dania González Couret, an esteemed Professor at the Technological University of Havana, specializes in Architecture and Urbanism, with a focus on energy, sustainability, and bioclimatic design. With 46 years of experience, she has made significant contributions to the field, including the optimization of housing standards and urban sustainability. Dr. González has authored over 270 publications, supervised over 200 theses, and received numerous international awards. Her work emphasizes the integration of environmental dimensions and renewable energy sources in architectural design, benefiting both Cuba and other global South countries .

Professional Development

🏫 Dr.Dania González Couret is an esteemed Emeritus Professor at the Technological University of Havana, specializing in Architecture and Urbanism. With 46 years of experience, she has made groundbreaking contributions to energy-efficient, sustainable, and bioclimatic design. 📚 Her academic journey includes over 270 publications, supervising more than 200 theses, and receiving over 150 international and national awards. 🌍 Dr. González Couret’s work, recognized globally, focuses on optimizing housing quality and environmental conditions, significantly impacting urban development standards and sustainability practices in Cuba and the global South. 🌟

Research Focus

Dr.Dania González Couret is a highly accomplished Professor at the Technological University of Havana, specializing in Architecture and Urbanism with a focus on energy, sustainability, and bioclimatic design. Her research contributions include optimizing the economy-quality relationship in housing, urban sustainability, and renewable energy solutions for the global South. With over 270 publications, 300 international conference presentations, and numerous awards, her work has significantly impacted architectural standards and urban planning. Notable achievements include introducing global cost concepts in building lifecycle and developing urban housing models to maximize land use efficiency and reduce energy consumption.

Publication Top Notes

Arquitectura y vivienda saludable – Cubasolar, 2022 – Book
Energy Retrofit of Traditional Buildings in a Warm-Humid Urban Climate: Achieving Building Comfort by Natural Means – Book chapter, 2022 –
Evolución de la arquitectura hotelera en La Habana. Tendencias e influencias – Universidad de La Habana, 2022 – Journal article
SOLUCIONES ALTERNATIVAS PARA REDUCIR EL ESTRÉS TÉRMICO DURANTE LA TARDE EN LA VIVIENDA SOCIAL CON TECHO DE LÁMINAS DE ACERO GALVANIZADO EN EL CLIMA CÁLIDO Y HÚMEDO DE PORTOVIEJO – Ecosolar, 2022 – Journal article
Sustainable urban development. Cuban challenges – International Journal of Urban Sustainable Development, 2022 – 2 citations
Ciudad inclusiva. El reto se mantiene – AREA, 2022 – Journal article
Ciencia tecnología y sociedad en la conservación de las obras del Movimiento Moderno – Universidad y Sociedad, 2022 – Journal article

Luis Marianode la Torre Fonseca | cardiology | Outstanding Scientist Award

Posted on 25/05/202425/05/2024 by sciencefather

Luis Marianode la Torre Fonseca | cardiology | Outstanding Scientist Award

Dr. Luis Marianode la Torre Fonseca , Hospital Docente Clínico Quirúrgico Comandante Manuel Faardo, Cuba

Dr.Luis Mariano de la Torre Fonseca, born on February 24, 1984, in Santiago de Cuba, is a distinguished physician and professor. He graduated as a General Physician from the Higher Institute of Medical Sciences of Havana in July 2009. He has held teaching positions at Manuel Fajardo University Hospital, progressing from Instructor Professor in 2017 to Auxiliar Professor in 2023. Specializing in Comprehensive General Medicine and Cardiology, he has made significant scientific contributions, earning the title of Auxiliar Investigator in February 2024. His dedication to cardiology is evident through his active participation in workshops and courses.

Publication Profile

Education And Experience

Dr.Luis Mariano de la Torre Fonseca has a comprehensive professional background in medicine, with a focus on cardiology. He obtained his degree as a General Physician from the Higher Institute of Medical Sciences of Havana in July 2009 and has since pursued various teaching positions at Manuel Fajardo University Hospital. He has advanced from Instructor Professor in 2017 to Auxiliar Professor in 2023. Luis Mariano de la Torre Fonseca is a 1st degree Specialist in both Comprehensive General Medicine and Cardiology. He has also achieved the title of Auxiliar Investigator in February 2024. His scientific contributions include numerous publications in medical journals.

Professional Development

Dr.Luis Mariano de la Torre Fonseca has a rich professional development in medicine and education. He graduated as a General Physician in 2009 and has since achieved specialization in Comprehensive General Medicine and Cardiology. Luis has progressively advanced in his teaching career at Manuel Fajardo University Hospital, starting as an Instructor Professor and currently serving as an Auxiliar Professor. He is also an Auxiliar Investigator, highlighting his commitment to research. Luis has contributed significantly to medical literature, particularly in cardiology, with a focus on acute coronary syndrome, myocardial infarction complications, and COVID-19-related myocardial injury. His dedication and expertise make him a valuable asset to the medical field.

Research Focus

Dr.Luis Mariano de la Torre Fonseca’s research focuses on various aspects of cardiology, particularly acute coronary syndrome, non-lethal complications in myocardial infarction, Wellens Syndrome, and myocardial injury in COVID-19 patients. His work contributes to the understanding of these conditions, their management, and potential complications, aiding in the advancement of cardiology practices and patient care.

Publication Top Notes

Binge Drinking and its Relationship with Suicidal Thoughts and Suicidal Attempts in University Students
- Published in 2024, cited by 0 documents.
Pseudo-Wellens syndrome? | ¿Pseudo Sindrome de Wellens?
- Published in 2023, cited by 0 documents.
Cardiovascular Complications in Patients Hospitalized for COVID-19: A Cohort Study in Havana, Cuba
- Published in 2023, cited by 1 document.
Risk factors associated with the occurrence of shock in seriously ill patients with COVID-19 | Factores de riesgo asociados con la ocurrencia de choque en pacientes graves con la COVID-19
- Published in 2023, cited by 0 documents.
Clinical characteristics and hospital course of SARS-CoV-2 infected patients with electrocardiographic abnormalities admitted to the ICU | Características clínicas y evolución hospitalaria de pacientes infectados por SARS-CoV-2 con alteraciones electrocardiográficas ingresados en UCI
- Published in 2023, cited by 1 document.
Wellens syndrome as an independent predictor of in-hospital cardiovascular complications
- Published in 2023, cited by 2 documents.
Predictive value of electrocardiographic alterations in the occurrence of cardiovascular complications in non-ST segment elevation acute coronary syndrome | Valor predictivo de las alteraciones electrocardiográficas en la ocurrencia de complicaciones cardiovasculares en el síndrome coronario agudo sin elevación del segmento ST
- Published in 2022, cited by 0 documents.
Electrocardiographic pattern De Winter, another severe and atypical form of acute coronary syndrome with ST elevation | Patrón electrocardiográfico De Winter, otra forma grave y atípica de síndrome coronario agudo con elevación del ST
- Published in 2022, cited by 0 documents.

SarahAltowairqi | Computer Science | Best Researcher Award

Posted on 20/05/202420/05/2024 by sciencefather

SarahAltowairqi | Computer Science | Best Researcher Award

Mrs. SarahAltowairqi ,The University of Newcastle ,United States

Mrs.Sarah Altowairqi is a Research Scholar at The University of Newcastle, NSW, Australia, specializing in Computer Science with a focus on Computer Vision. With 11 years of experience, she holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, including publications in reputable journals and the development of AI approaches for crowd anomaly detection. Her teaching experience at Taif University, coupled with her active research in information security and biometrics, reflects her commitment to advancing knowledge in her field. Sarah is dedicated to utilizing deep learning for anomaly detection to enhance public safety and security

Publication Profile

Education And Experience

Mrs.Sarah Altowairqi holds a Master’s degree and is currently pursuing her PhD at The University of Newcastle, NSW, Australia. With 11 years of experience, she has published in reputable journals and developed AI approaches for crowd anomaly detection. Sarah also has teaching experience at Taif University, where she actively contributed to research on information security and biometrics. Her dedication to deep learning for anomaly detection reflects her commitment to enhancing public safety and security.

Professional Development

Mrs.Sarah Altowairqi, a Research Scholar at The University of Newcastle, NSW, Australia, has 11 years of experience in Computer Science with a specialization in Computer Vision. She holds a Master’s degree and is currently pursuing her Ph.D. Sarah has made significant contributions to the field, publishing in reputable journals and developing AI approaches for crowd anomaly detection. Her teaching experience at Taif University showcases her commitment to education. Sarah is actively engaged in research, particularly in information security and biometrics. Her work reflects a dedication to enhancing public safety and security through innovative research in deep learning.

Research Focus

Mrs.Sarah Altowairqi’s research focuses on efficient crowd anomaly detection using sparse feature tracking and neural networks. She has authored a publication on this topic in Applied Sciences in May 2024, indicating her expertise in this area.

Publication Top Notes

BrendaFina | Biological Sciences Award | Women Researcher Award

Posted on 20/05/202420/05/2024 by sciencefather

BrendaFina | Biological Sciences Award | Women Researcher Award

Dr.Brenda Lorena Fina ,Facultad Regional Venado Tuerto, Universidad Tecnologica Regional , Argentina

Dr.Brenda Lorena Fina is a researcher and assistant professor at CONICET and UTN, Argentina. She holds a Ph.D. in Biological Sciences and specializes in plasma physics, non-thermal plasmas, and their chemical and biological applications. Brenda is recognized for her work on bone properties and inflammatory processes. She has received numerous awards, including the National Senate of Argentina’s Mention of Honor for Scientific Valor. Brenda is also dedicated to teaching at both university and secondary levels, contributing significantly to the field of biophysics.

Publication Profile

1.’Innovative application of plasma-activated water in the inactivation of Escherichia coli: Temperature-dependent chemical processes leading to the synergistic microbicidal effect’

Education And Experience

Dr.Brenda Lorena Fina 🧪🔬, born on August 8, 1986, in Santa Fe, Argentina, is a dedicated researcher and educator. She is currently an Assistant Researcher at CONICET 🇦🇷 and a Physics lecturer at UTN Regional Faculty in Venado Tuerto. Brenda’s academic focus lies in plasma physics, particularly non-thermal plasmas and their chemical and biological applications. She holds a Ph.D. in Biological Sciences from the National University of Rosario, with a thesis on bone properties in rats treated with sodium fluoride. Brenda is fluent in English and has intermediate proficiency in Italian. Her exceptional work has been recognized with various awards, including the Honorable Mention for Scientific Valor from the Argentine Senate and special mentions in technological innovation. She is actively involved in both secondary and university-level teaching, with a strong commitment to mentoring and fostering research talent. Brenda has also contributed significantly to extension activities, promoting science and technology in her community.

Professional Development

Dr. Brenda Lorena Fina is a dedicated researcher and educator with expertise in plasma physics, non-thermal plasmas, and their chemical and biological applications. She holds a Ph.D. in Biological Sciences and is a Professor at the Universidad Tecnológica Nacional (UTN) in Argentina. Brenda has received numerous awards for her research, including the Mention of Honor for Scientific Valor from the Argentine Senate. She is fluent in English and has intermediate proficiency in Italian. Brenda is passionate about teaching and has extensive experience at both the university and secondary school levels. Her commitment to academic excellence and innovation is truly inspiring.

Research Focus

Dr. Brenda Lorena Fina is a dedicated researcher and educator with a passion for plasma physics and its applications in chemistry and biology. Her extensive academic background includes a Ph.D. in Biological Sciences and a focus on the study of bone properties in relation to inflammatory processes. Dr. Fina’s research has earned her numerous awards and distinctions, highlighting her contributions to the field. She is currently an Assistant Researcher at CONICET and a Physics lecturer at UTN’s Regional Faculty in Venado Tuerto. With her expertise and commitment to science, Dr. Fina is a valuable asset to the scientific community

Publication Top Notes

Journal: Food Control
Publication Date: 2024-09
DOI: 10.1016/j.foodcont.2024.110530
Contributors: Brenda L. Fina; Brenda Santamaría; Matías G. Ferreyra; Luis P. Schierloh; Juan C. Chamorro; Ezequiel Cejas; Leandro Prevosto

2.’Effect of fluoride on bone and growth plate cartilage’

Journal: Journal of Environmental Science and Health, Part C
Publication Date: 2021-10-02
DOI: 10.1080/26896583.2021.1963606
Contributors: Mercedes Lombarte; Brenda L. Fina; Lucas R. Brun; Stella Maris Roma; Alfredo Rigalli; Di Loreto V E

3.’Cathode-sheath model for field emission sustained atmospheric pressure discharges’

Journal: Physics of Plasmas
Publication Date: 2021-03
DOI: 10.1063/5.0035710
Contributors: E. Cejas; L. Prevosto; F. O. Minotti; M. Ferreyra; J. C. Chamorro; B. Fina

Darioramirez | Experimental Medicine | Excellence in Research Award

Posted on 13/05/202413/05/2024 by sciencefather

Darioramirez | Experimental Medicine | Excellence in Research Award

Darioramirez , CONICET-UNSL , Argentina

Dr. Dario C. Ramirez is a renowned Argentine-American scientist with expertise in molecular genetics, oxidative stress, and inflammation. He holds a Ph.D. in Biochemistry and a Master’s in Immunology, complemented by extensive post-doctoral research at the National Institute of Environmental Health Sciences (NIEHS), NIH. As a Principal Investigator, he has led groundbreaking studies funded by prestigious grants, including the NIH K99 award. Dr. Ramirez is also a dedicated educator, serving as a Professor of Molecular Biology and Genetics, contributing significantly to the academic and research communities. His work underscores his commitment to advancing scientific knowledge and innovation.

Publication Profile