Month: June 2024

Education And Professional Experience:

Prof. Serkan YILDIRIM is a distinguished academic at Ataturk University’s Veterinary Faculty, specializing in Veterinary Pathology and Pre-Clinical Sciences. He holds a Doctorate from Van Yüzüncü Yıl University (2011) and an undergraduate degree from Ataturk University (2006). Fluent in English, Prof. YILDIRIM has earned multiple certifications and has contributed significantly to his field through teaching, research, and administrative roles. Notable positions include Vice Dean and Manager of the Research and Application Center. His work encompasses various research areas, including aflatoxicosis and the protective effects of Urtica dioica. Prof. YILDIRIM has also mentored numerous doctoral and postgraduate students, guiding them through complex research projects. 👨‍🏫

Professional Development:

Prof. Serkan YILDIRIM, an esteemed academic at Ataturk University, has significantly contributed to veterinary sciences and pre-clinical sciences. With a Doctorate from Van Yüzüncü Yil University, he has earned multiple academic titles, including Professor, Associate Professor, and Assistant Professor. His expertise spans veterinary pathology, health sciences, and project management. Prof. YILDIRIM has been actively involved in various administrative roles, such as Vice Dean and Rectorate Commissioner, while also mentoring numerous doctoral and postgraduate students. His dedication to research and education has been recognized through his extensive participation in thesis committees and academic boards.

Research Focus:

Prof. Serkan YILDIRIM’s research focus is on Veterinary Sciences, particularly in Veterinary Pathology. His work includes the pre-clinical sciences and broader health sciences. He has extensively investigated the histopathological, immunohistochemical, and biochemical effects of various treatments on animal models, such as aflatoxicosis in rats. His research also explores the protective effects of natural extracts and probiotics against induced toxicities and diseases in animals. Prof. YILDIRIM’s research contributes to improving animal health and veterinary practices, ensuring better diagnosis, treatment, and prevention of animal diseases. His expertise supports advancements in both academic and practical veterinary medicine.

Publication Top Notes:

hananhabbi | Renewable energy | Best Researcher Award

Posted on 08/06/202408/06/2024 by sciencefather

hananhabbi | Renewable energy | Best Researcher Award

Assist Prof Dr. hananhabbi, oakland university, United States.

Dr. Hanan Mikhael Dawood Habbi is an accomplished electrical engineer with a Ph.D. in Mechatronics and Automation Engineering from Shanghai University, China (2012), and M.Sc. and B.Sc. degrees from the University of Baghdad, Iraq (1997 and 1990). Her expertise lies in sensorless position and speed estimation, control of electric drives, power quality, and renewable energy. She has held prominent roles, including Head of the Electrical Engineering Department at the University of Baghdad and Scientific Researcher at Oakland University. Dr. Habbi has significantly contributed to academia and industry through various projects, conferences, and numerous publications.

Publication Profile:

Education:

Ph.D.
Mechatronics and Automation Engineering, Shanghai University, China, 2012
M.Sc.
Electrical Engineering, University of Baghdad, Iraq, 1997
B.Sc.
Electrical Engineering, University of Baghdad, Iraq, 1990

Professional Experience:

Head of the Department of Electrical Engineering
University of Baghdad, 2020-2022
Scientific Researcher
Oakland University, Michigan, USA, 2022-2023
Faculty Member
Electrical Engineering Department, University of Baghdad, since 1990
Manager of Continuing Education Unit
College of Engineering, 2016-2021
Manager of CISCO Academic for Computer Networks Unit
College of Engineering, 2017-2021
Researcher and Designer
Electronics Systems Center, Ministry of Industry and Minerals, 1998-2003

Professional Development:

Dr. Hanan Mikhael Dawood Habbi has demonstrated a profound commitment to advancing the field of electrical engineering. With a Ph.D. in Mechatronics and Automation Engineering from Shanghai University and extensive experience in academia and research, Dr. Habbi has made significant contributions to sensorless position and speed estimation technologies, electric drive control, power quality, and renewable energy. Her roles have included Head of the Electrical Engineering Department at the University of Baghdad and a Scientific Researcher at Oakland University, showcasing her leadership and expertise. Dr. Habbi’s work has consistently pushed the boundaries of engineering innovation and education. 👩‍🏫

Research Focus:

Dr. Hanan Mikhael Dawood Habbi’s research primarily focuses on sensorless position and speed estimation technologies, control of electric drives, power quality, and renewable energy . Her work encompasses advanced control methods, such as fuzzy logic and adaptive filters, applied to electric motors and drives. She also delves into renewable energy systems, emphasizing the integration and optimization of power quality in electrical grids . With a solid background in electrical engineering and mechatronics, her contributions aim to enhance the efficiency and reliability of modern electric drive systems and renewable energy applications .

Publication Top Notes:

GeronimoQuinonez-Barraza | Forest Sciences | Best Researcher Award-1103

Posted on 05/06/202405/06/2024 by sciencefather

GeronimoQuinonez-Barraza | Forest Sciences | Best Researcher Award

Dr.GeronimoQuinonez-Barraza, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Mexico.

Dr. Gerónimo Quiñónez-Barraza is a distinguished Mexican scientist specializing in Forest Sciences, currently serving as a Research Scientist at INIFAP. With a Ph.D. in Forest Sciences from Colegio de Postgraduados and a post-doctorate from the University of Georgia, his expertise spans forest management, biometrics, and environmental services . Gerónimo is proficient in ArcGIS, Python, and MATLAB, among other tools. Recognized as a National Researcher Level-1 by CONACTY, he has received numerous academic awards . His work significantly impacts forest modeling and management, advancing the field through innovative research and practical applications.

Publication Profile

Education And Experience

Dr. Gerónimo Quiñónez-Barraza is a dedicated Mexican scientist specializing in Forest Sciences, currently serving as a Scientist Researcher at INIFAP . He holds a Ph.D. in Forest Sciences from Colegio de Postgraduados and a post-doctorate from the University of Georgia. His research areas include forest management, biometrics, and environmental services . Proficient in tools like ArcGIS, Python, and MATLAB, Gerónimo has received numerous accolades, including the National Researcher Level-1 recognition by CONACTY . He has significantly contributed to forest modeling and management, enhancing the field with innovative research and practical applications. For more information, visit his personal website .

Professional Development

Dr. Gerónimo Quiñónez-Barraza , a dedicated Forest Engineer and Scientist Researcher at INIFAP , specializes in forest management, biometrics, and environmental services. With a robust academic background, including a Ph.D. from Colegio de Postgraduados and a post-doctorate from the University of Georgia , he excels in utilizing tools like ArcGIS, Python, and MATLAB. Recognized with numerous scientific distinctions such as National Researcher Level-1 by CONACTY , Gerónimo has significantly contributed to forest modeling and management. His extensive professional experience and active participation in conferences underscore his commitment to advancing forest sciences . For more, visit his personal website .

Research Focus

Dr. Gerónimo Quiñónez-Barraza’s research focuses on various aspects of forest sciences, including Forest Management, Forest Biometrics, Silviculture, Forest Modeling, Forest Inventory, Forest Statistics, and Environmental Services. His work aims to enhance the understanding and sustainable management of forest ecosystems, addressing key challenges such as biodiversity conservation, ecosystem services provision, and climate change mitigation. Through his research, Gerónimo contributes to the development of innovative forest management strategies and tools that support the conservation and utilization of forest resources. His dedication to this field is evident in his extensive publications and active participation in conferences, where he shares his insights and advancements with the scientific community.

Publication Top Notes

Estimación del diámetro, altura y volumen a partir del tocón para especies forestales de Durango, G Quiñónez Barraza, F Cruz Cobos, B Vargas Larreta, FJ Hernández, Revista mexicana de ciencias forestales, 2012
- Cited by: 56
- Year of Publication: 2012
Sistema compatible de ahusamiento y volumen comercial para las principales especies de Pinus en Durango, México, G Quiñonez-Barraza, D los Santos-Posadas, M Héctor, Agrociencia, 2014
- Cited by: 40
- Year of Publication: 2014
A Dynamic System of Growth and Yield Equations for Pinus patula, W Santiago-García, E Pérez-López, G Quiñonez-Barraza, Forests, 2017
- Cited by: 38
- Year of Publication: 2017
Índice de sitio con polimorfismo complejo para masas forestales de Durango, México, G Quiñonez-Barraza, D los Santos-Posadas, M Héctor, F Cruz-Cobos, Agrociencia, 2015
- Cited by: 31
- Year of Publication: 2015
Maximum density and density management diagram for mixed-species forests in Durango, Mexico, G Quiñonez-Barraza, JC Tamarit-Urias, M Martínez-Salvador, Revista Chapingo serie ciencias forestales y del ambiente, 2018
- Cited by: 29
- Year of Publication: 2018
Considering neighborhood effects improves individual dbh growth models for natural mixed-species forests in Mexico, G Quiñonez-Barraza, D Zhao, HM De Los Santos Posadas, Annals of forest science, 2018
- Cited by: 26
- Year of Publication: 2018
Global-local and fixed-random parameters to model dominant height growth of Pinus pseudostrobus Lindley, GG García-Espinoza, OA Aguirre-Calderón, G Quiñonez-Barraza, Revista Chapingo serie ciencias forestales y del ambiente, 2019
- Cited by: 20
- Year of Publication: 2019

Aniket KumarSingh | Data Analytics | Best Researcher Award

Posted on 04/06/2024 by sciencefather

Aniket KumarSingh | Data Analytics | Best Researcher Award

Dr.Aniket KumarSingh, San Jose State University, United States

Dr.Aniket Singh is a skilled computing professional with a Master’s degree in Computing and Information Systems, specializing in Deep Learning from Youngstown State University. Proficient in various programming languages and data analytics tools, he excels in deep learning, predictive modeling, and web development. Currently, he is a Vision Systems Engineer at Ultium Cells and CTO at MyEvaluationPal. Aniket has extensive experience in developing high-precision AI models, leading collaborative projects, and contributing to academic research. His passion for innovation and technology drives his contributions to the field of AI and machine learning.

Publication Profile

Education And Experience

Dr.Aniket KumarSingh, based in Youngstown, OH, is a versatile professional with extensive expertise in programming, data analytics, machine learning, and web development. With a Master’s in Computing and Information Systems, specializing in Deep Learning, Aniket has a strong academic foundation. He has excelled in roles like Vision Systems Engineer at Ultium Cells and CTO at MyEvaluationPal. Aniket’s skills span Python, Java, AWS, and TensorFlow, among others. He has contributed to numerous projects and publications, showcasing his leadership and technical prowess. As an active volunteer and member of professional organizations, Aniket is dedicated to advancing technology and education. 👨‍💻

Professional Development

Dr.AniketKumar Singh is a dynamic tech professional with expertise in Python, Java, C++, and machine learning frameworks like TensorFlow and PyTorch. Holding a Master’s in Computing and Information Systems from Youngstown State University (GPA: 3.82/4.0) , Aniket excels in deep learning and predictive modeling. As CTO at Byte Brain AI, he leads innovative AI solutions for automated credential evaluation . His hands-on experience includes roles as Vision Systems Engineer at Ultium Cells and Research Associate at YSU. Aniket’s dedication to AI and continuous improvement shines through his impactful projects and recognized publications .

Research Focus

Dr.Aniket KumarSingh’s research focus lies in the innovative applications of machine learning and data analytics. His work spans deep learning models for defect detection, predictive modeling, and large language models in economics. With extensive expertise in AI, he develops high-precision models to solve complex problems and enhance system efficiency. Singh’s commitment to cutting-edge research is evident in his publications and contributions to academic communities. He is a key figure in advancing AI-driven solutions, continually pushing the boundaries of what’s possible in technology and data science.

Publication Top Notes

jerryGao | Software Engineering | Best Researcher Award

Posted on 04/06/202405/06/2024 by sciencefather

jerryGao | Software Engineering | Best Researcher Award

Prof. jerryGao, San Jose State University, United States

Dr. Jerry Gao is a Full Professor in the Department of Computer Engineering at San Jose State University, USA. He earned his Ph.D. and M.S. in Computer Science and Engineering from the University of Texas at Arlington and a B.S. in Computer Science from Nanjing University and HoHai University. With over 20 years of academic teaching and research experience, Dr. Gao specializes in software engineering, mobile computing, cloud services, and big data applications. He has published extensively, including three co-authored technical books and numerous journal papers. Dr. Gao also has significant industry experience and has led successful R&D projects and industry consulting roles.

Publication Profile

Education And Experience

Dr. Jerry Gao is a Professor in the Department of Computer Engineering at the College of Engineering, San Jose State University, USA. With a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington, Dr. Gao has extensive academic and industry experience. He has led successful R&D projects, published over 200 papers, co-authored several technical books, and contributed significantly to areas like software engineering, mobile computing, and cloud services. His research interests include smart cities, cloud computing, test automation, and big data applications. Dr. Gao’s work has garnered significant recognition, with numerous publications cited widely in the academic community.

Professional Development

Dr. Jerry Gao is a distinguished Professor of Computer Engineering at San Jose State University, USA. With over 20 years of academic teaching and research experience, he specializes in software engineering, mobile computing, and cloud services. Dr. Gao has successfully led industry R&D projects, published over 200 papers, and co-authored several technical books. His research interests include smart cities, cloud computing, and big data applications. Dr. Gao’s extensive industry experience and academic contributions make him a leading figure in his field.

Research Focus

Dr. Jerry Gao is a Professor in the Department of Computer Engineering at San Jose State University, USA. He earned his Ph.D. in Computer Science and Engineering from The University of Texas at Arlington. With over two decades of academic and industry experience, Dr. Gao’s research focuses on software engineering, mobile cloud computing, and smart cities. He has led successful R&D projects and authored numerous publications, including books and journal articles. His expertise includes cloud computing, mobile services, and big data analytics, contributing significantly to advancements in these fields.

Publication Top Notes

Formal approach to scenario analysis
P Hsia, J Samuel, J Gao, D Kung, Y Toyoshima, C Chen
IEEE Software 11 (2), 33-41
Cited by: 424 (1994)
Testing and Quality Assurance for Component-Based Software
JZ Gao, J Tsao, Y Wu
Artech House Computing Library
Cited by: 377 (2003)
Change impact identification in object-oriented software maintenance
Kung, Gao, Hsia, Wen, Toyoshima, Chen
Proceedings 1994 International Conference on Software Maintenance, 202-211
Cited by: 288 (1994)
Business-to-business e-commerce frameworks
SSY Shim, VS Pendyala, M Sundaram, JZ Gao
Computer 33 (10), 40-47
Cited by: 275 (2000)
Multistep-ahead time series prediction
H Cheng, PN Tan, J Gao, J Scripps
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …
Cited by: 272 (2006)
Cloud testing-issues, challenges, needs and practice
J Gao, X Bai, WT Tsai
Software Engineering: An International Journal 1 (1), 9-23
Cited by: 257 (2011)
Class firewall, test order, and regression testing of object-oriented programs
DC Kung, J Gao, P Hsia, J Lin, Y Toyoshima
JOOP 8 (2), 51-65
Cited by: 256 (1995)

FaheemReegu | Blockchain | Best Researcher Award

Posted on 01/06/202401/06/2024 by sciencefather

FaheemReegu | Blockchain | Best Researcher Award

Dr. FaheemReegu, Jazan university, United States

Mr. Faheem Ahmad Reegu is a dedicated computer science professional currently pursuing his Ph.D. at Universiti Teknologi Malaysia, focusing on blockchain-based interoperable frameworks for electronic health records . He holds an MCA from Kashmir University and has extensive teaching experience at Jazan University, Saudi Arabia 👨‍🏫 . With a robust background in both academia and industry, including roles at NIIT and National Informatics Centre, Faheem has contributed to various workshops and published numerous papers on blockchain, IoT, and machine learning . His technical skills span JAVA, C++, and MYSQL, showcasing a commitment to technological advancement and innovation .

Publication Profile