Samir Khatir – AI for fast prediction – Best Researcher Award

Posted on 30/03/202430/03/2024 by ScienceFather

Samir Khatir - AI for fast prediction - Best Researcher Award

Ho Chi Minh City Open university - Belgium

AUTHOR PROFILE

EARLY ACADEMIC PURSUITS

Dr. Samir Khatir embarked on his academic journey by earning a PhD in Mechanical Engineering from Boumerdes University, Algeria, in collaboration with Centre Val de Loire, France, focusing on damage detection using optimization techniques. He later pursued a second PhD in Civil Engineering at Ghent University, Belgium, specializing in artificial intelligence for fast crack identification in steel plate structures. His academic pursuits reflect a strong foundation in engineering and a commitment to advancing knowledge in his field.

PROFESSIONAL ENDEAVORS

Dr. Samir Khatir has held various prestigious positions, including Technical Manager at Btecch in Brussels, Belgium, and part-time distinguished researcher at CEATS Centre, Ho Chi Minh City Open University, Vietnam. Additionally, he serves as an editor-in-chief and member of the editorial board for several scientific journals, contributing to the dissemination of knowledge in his field. His extensive experience spans research, academia, and industry, showcasing his versatility and expertise.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Samir Khatir's research focuses on a wide range of topics, including characterization of metals and composite materials, design optimization, damage identification, static and dynamic tests, machine learning, and tribological analysis in metal contact. He has made significant contributions to projects addressing modal updating and structural health monitoring in metal bridges, fast crack identification using machine learning in steel plates, and impact identification in composite materials. His research underscores his dedication to advancing engineering solutions through innovative methodologies.

IMPACT AND INFLUENCE

Dr. Samir Khatir's work has had a profound impact on the field of engineering, particularly in the areas of structural health monitoring, damage identification, and optimization techniques. His collaborations with prestigious institutions and his role as a visiting researcher and research member highlight his influence and recognition within the global research community. His contributions have contributed to advancements in the understanding and application of artificial intelligence for predictive analysis in engineering structures.

ACADEMIC CITES

Dr. Samir Khatir's research has been widely cited and recognized in the academic community, with numerous publications and collaborations with renowned institutions. His work has been instrumental in shaping the discourse and driving innovation in engineering research, particularly in the application of machine learning techniques for fast prediction and damage identification in structural materials.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Samir Khatir continues to excel in his career, his legacy in the field of engineering is poised to grow. His future contributions are expected to further enhance our understanding of structural behavior and advance predictive modeling techniques using artificial intelligence. Through his dedication to research and innovation, he will continue to shape the future of engineering and inspire the next generation of researchers and practitioners.

NOTABLE PUBLICATION

An efficient approach for damage identification based on improved machine learning using PSO-SVM 2022 (82)

Mohamed Almansour – Transportation Engineering – Best Researcher Award

Posted on 30/03/202430/03/2024 by ScienceFather

Mohamed Almansour - Transportation Engineering - Best Researcher Award

University of Missouri-Columbia - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Mohamed Almansour began his academic journey at Alexandria University, where he earned his Bachelor's degree in Computer and Systems Engineering with a thesis focused on predicting sub-populations using Single-Nucleotide Polymorphisms (SNPs). He continued his education at the University of Missouri, obtaining a Master's degree in Computer Science with a specialization in AI and Machine Learning.

PROFESSIONAL ENDEAVORS

Mohamed's professional experience spans various domains, including academia and industry. He served as an Instructor at Alexandria University, where he taught courses in programming, data structures, statistics for computing, and digital logic design. Additionally, he worked as a Graduate Fellow at the University of Missouri, conducting research in computer vision, deep learning, and medical imaging. He also gained industry experience as a Software Engineer at Bloomberg LP and Siemens Healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS

Mohamed's research primarily focuses on computer vision, deep learning, and medical image analysis. He has contributed to several publications and conferences, addressing topics such as high-resolution MRI brain inpainting, transportation mode choice models, and neonatal HIE segmentation. His work demonstrates a commitment to advancing knowledge and solving real-world problems in these fields.

IMPACT AND INFLUENCE

Through his research and professional endeavors, Mohamed has made a significant impact on the academic and industrial communities. His contributions to the BONBID-HIE Lesion Segmentation Challenge, where he ranked first, highlight his expertise and influence in the field of medical imaging analysis.

ACADEMIC CITES

Mohamed's publications have been well-received in the academic community, with citations in prominent conferences and journals. His research output underscores the relevance and significance of his work in areas such as biomedical informatics and transportation engineering.

LEGACY AND FUTURE CONTRIBUTIONS

As Mohamed continues his academic and professional journey, his legacy in computer science and engineering is poised to grow. His future contributions are expected to further advance the fields of computer vision, deep learning, and medical imaging analysis, addressing critical challenges and driving innovation in these domains.

NOTABLE PUBLICATION

Mohammed Ali Almulla – Image recognition and classification – Best Researcher Award

Posted on 30/03/202430/03/2024 by ScienceFather

Mohammed Ali Almulla - Image recognition and classification - Best Researcher Award

Kuwait University - Kuwait

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dr. Mohammed Ali Almulla embarked on his academic journey at McGill University, Canada, where he earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science. His doctoral thesis focused on the "Analysis of the Use of Semantic Trees in Automated Theorem Proving," completed at McGill University in January 1995.

PROFESSIONAL ENDEAVORS

Dr. Almulla's professional career spans over three decades, starting as an Instructor at Kuwait University and progressing to Assistant Professor, Associate Professor, and eventually Professor. He has dedicated his expertise to Kuwait University, contributing significantly to its academic and administrative domains.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Almulla's research interests encompass various aspects of computer science, with a particular focus on image recognition and classification. His work has been published in numerous international journals and presented at prestigious conferences, contributing to the advancement of knowledge in the field.

IMPACT AND INFLUENCE

Through his extensive academic and administrative roles, Dr. Almulla has made a profound impact on Kuwait University and the broader academic community. His leadership in research, teaching, and university governance has inspired colleagues and students alike.

ACADEMIC CITES

Dr. Almulla's publications have been widely cited in the academic community, reflecting the significance of his research contributions. His work in image recognition and classification has garnered attention from researchers worldwide, shaping the trajectory of this field.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Almulla continues to excel in his academic and professional endeavors, his legacy in computer science and higher education is assured. His future contributions are expected to further advance the field of image recognition and classification, addressing emerging challenges and pushing the boundaries of knowledge in this domain.

NOTABLE PUBLICATION

Salim Chehida – Smart grid security – Best Researcher Award

Posted on 28/03/202428/03/2024 by ScienceFather

Salim Chehida - Smart grid security - Best Researcher Award

VERIMAG - Université Grenoble alpes - France

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Salim Chehida's academic journey commenced with an Engineer Degree in Computer Science from the University of Mostaganem, Algeria. He furthered his studies with a Magister Degree in Information Systems Engineering and eventually pursued a Ph.D. in Computer Science specializing in Software Engineering and Systems Security from the University of Oran 1 in Algeria in collaboration with the University of Grenoble Alpes in France.

PROFESSIONAL ENDEAVORS

Dr. Salim Chehida has had a diverse professional career, starting as a Software Engineer at the Finance Direction in Algeria and later transitioning to roles as a Scientific Researcher and Assistant Professor at the University of Mostaganem, Algeria. Currently, he serves as a Research and Development Expert at the University of Grenoble Alpes in France, contributing significantly to the fields of Software Engineering and Deep Learning.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Chehida's expertise lies in Software Engineering, particularly in the design, development, security, verification, and validation of software systems. He has made notable contributions to various innovative projects, including those related to cyber-physical systems (CPS) and Internet of Things (IoT) systems. His research focuses on deep learning applications, including image classification, segmentation, and object detection, as well as smart grid security.

IMPACT AND INFLUENCE

Dr. Chehida's research and development work have had a significant impact on academia and industry, particularly in the domains of software engineering and deep learning. His involvement in numerous projects, collaborations with companies and institutions worldwide, and contributions to conferences and publications have established him as a respected expert in his field.

ACADEMIC CITES

Dr. Chehida's publications and technical reports have been widely cited, reflecting the importance and relevance of his research contributions. His work in smart grid security and deep learning applications has garnered attention from researchers and professionals in academia, industry, and government organizations.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Chehida continues to advance his research and development endeavors, his legacy in the fields of software engineering and deep learning is assured. His future contributions are expected to further enhance our understanding and application of smart grid security measures and deep learning techniques, addressing critical challenges in cybersecurity and artificial intelligence for years to come.

NOTABLE PUBLICATION

Model-based Self-adaptive Management in a Smart Grid Substation 2023 (2)

Generation and verification of learned stochastic automata using k-NN and statistical model checking 2022 (1)

Learning and analysis of sensors behavior in IoT systems using statistical model checking 2022 (5)

BRAIN-IoT Architecture and Platform for Building IoT Systems 2022 (2)

Vaibhav Sinha – Radiological Assessment – Best Researcher Award

Posted on 28/03/202428/03/2024 by ScienceFather

Vaibhav Sinha - Radiological Assessment - Best Researcher Award

The Ohio State University - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Vaibhav Sinha embarked on his academic journey with a Bachelor of Engineering in Mechanical Engineering from Dr. B.R. Ambedkar Agra University, India. He then pursued a Master of Science in Nuclear Science and Engineering from Aachen University of Applied Sciences, Germany, before earning his Ph.D. in Nuclear Engineering with honors from Missouri University of Science & Technology, USA.

PROFESSIONAL ENDEAVORS

Dr. Vaibhav Sinha has held various academic and research positions, showcasing his expertise in the field of nuclear engineering. From serving as an Assistant Professor of Practice at The Ohio State University to his roles as an educator, researcher, and consultant in nuclear and radiological engineering, he has made significant contributions to academia and industry.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Sinha's research focus spans a wide range of areas within nuclear engineering, with notable contributions in radiation detection, instrumentation, and imaging technologies. His work includes the design, development, and characterization of novel neutron and X-ray combined computed tomography systems, as well as the assessment of radiological consequences in hypothetical reactor accidents.

IMPACT AND INFLUENCE

Dr. Sinha's research findings have had a profound impact on the field of nuclear engineering, advancing both educational and research infrastructure. Through invited talks at renowned institutions and collaborations with national laboratories, he has disseminated his expertise and contributed to cutting-edge developments in radiation detection and imaging technologies.

ACADEMIC CITES

Dr. Sinha's publications and technical reports have been widely cited, reflecting the significance of his research contributions. His work on radiation detection methodologies, radiological assessment, and reactor safety has influenced the academic community and industry professionals alike.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Sinha continues to supervise students, secure grants, and lead research projects, his legacy in the field of nuclear engineering is cemented. His future contributions are poised to further advance radiation detection, instrumentation, and imaging technologies, addressing critical challenges in nuclear safety and security for generations to come.

NOTABLE PUBLICATION

A Novel Algorithm for Fast Measurement of Material Density in Symmetrical Objects Using X-Ray Radiography 2023

Xiao Huan – Recycling of solid waste – Best Researcher Award

Posted on 28/03/2024 by ScienceFather

Xiao Huan - Recycling of solid waste - Best Researcher Award

Guangxi University - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dr. Xiao Huang's academic journey began with a Bachelor of Engineering degree in Materials Science and Engineering from Chongqing University. He furthered his studies with a Master of Philosophy from Chongqing University and completed his Ph.D. in Materials Science and Engineering at Wuhan University of Technology.

PROFESSIONAL ENDEAVORS

Dr. Xiao Huang has amassed extensive experience in academia and research. He served as a Postdoctoral Fellow at the Chinese Academy of Sciences before becoming a Research Assistant. Currently, he holds the position of Associate Professor at Guangxi University, where he continues to contribute significantly to the field of materials science.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Xiao Huang's research focuses on the development of new ecological building materials and the remediation technology of polluted sites. He has made significant contributions to the field through his work on sustainable cementitious materials, recycling of industrial solid wastes, and the preparation of novel vertical barrier materials.

IMPACT AND INFLUENCE

Dr. Xiao Huang's research has had a profound impact on the field of materials science and engineering. His publications, totaling over 30 papers in journals and international conferences, have provided valuable insights into topics such as brownmillerite hydration, alkali-activated slag, and chloride adsorption capacity, among others.

ACADEMIC CITES

Dr. Xiao Huang's research findings have been widely cited in the academic community, demonstrating the significance and relevance of his work. His publications have contributed to advancing knowledge and understanding in areas such as sustainable construction materials, cement chemistry, and environmental remediation.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Xiao Huang continues his academic and professional journey, his legacy lies in his dedication to sustainable development and environmental protection. His future contributions are poised to further advance the field of materials science, particularly in the areas of recycling of solid waste and eco-friendly construction materials, leaving a lasting impact on both academia and society.

NOTABLE PUBLICATION

Genome-scale transcriptomic insights into the gene co-expression network of seed abortion in triploid Siraitia grosvenorii 2022 (2)

Thomas Odey Magu – Renewable energy and waste management – Excellence in Research

Posted on 28/03/202428/03/2024 by ScienceFather

Thomas Odey Magu - Renewable energy and waste management - Excellence in Research

University of Florida - United States

AUTHOR PROFILE

Scopus
ORCID
Google Scholar

EARLY ACADEMIC PURSUITS

Thomas Odey Magu embarked on his academic journey with a Bachelor of Science degree in Chemistry from Cross River University of Technology (CRUTECH) in 2012. He continued to pursue higher education, obtaining a Master of Science in Physical Chemistry from the University of Calabar in 2017, where his research focused on biodiesel production using nanocatalysts.

PROFESSIONAL ENDEAVORS

Since 2016, Thomas Odey Magu has been actively engaged as a Teaching/Research Assistant in the Department of Pure & Applied Chemistry at the University of Calabar, Nigeria. He has contributed significantly to undergraduate education through teaching, grading, and supervising projects. Currently, he serves as a Teaching/Research Assistant at the Department of Chemistry, University of Florida, USA, where he leads discussion sections, conducts office hours, and proctors exams.

CONTRIBUTIONS AND RESEARCH FOCUS

Thomas Odey Magu's research interests span various areas of chemistry, including catalysis, renewable energy, waste management, and environmental impact studies. His current project involves the synthesis and characterization of novel catalysts for renewable energy and wastewater treatment, aiming to address pressing environmental challenges through innovative solutions.

IMPACT AND INFLUENCE

Through his teaching and research activities, Thomas Odey Magu has made a significant impact on both academic and practical aspects of chemistry. His work in catalysis, renewable energy, and waste management holds promise for addressing critical issues facing society, such as sustainability and environmental conservation.

ACADEMIC CITES

Thomas Odey Magu's research findings have been disseminated through various publications and presentations, contributing to the body of knowledge in his areas of expertise. His work serves as a valuable resource for fellow researchers, educators, and practitioners in the field of chemistry and related disciplines.

LEGACY AND FUTURE CONTRIBUTIONS

As Thomas Odey Magu continues his academic and professional journey, his legacy lies in his dedication to advancing knowledge and finding sustainable solutions to global challenges. His future contributions are poised to further enrich the fields of catalysis, renewable energy, and waste management, leaving a lasting impact on academia and society at large.

NOTABLE PUBLICATION

Mattias Simons – Nuclear Decomissioning – Best Researcher Award

Posted on 27/03/202427/03/2024 by ScienceFather

Mattias Simons - Nuclear Decomissioning - Best Researcher Award

Hasselt University - Belgium

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Mattias Simons began his academic journey at Hasselt University, where he pursued a Bachelor of Science in Engineering, specializing in Nuclear Technology, from 2016 to 2019. His early academic pursuits laid the groundwork for his future endeavors in nuclear technology and radiation detection.

PROFESSIONAL ENDEAVORS

As a dedicated Ph.D. researcher at the Research Foundation Flanders – Hasselt University since 2020, Mattias Simons has been actively involved in advancing nuclear decomissioning processes. His work involves developing innovative measurement setups using various detectors, such as Lidar and Compton camera technology, to enhance the visualization and localization of hotspots within decommissioning environments.

CONTRIBUTIONS AND RESEARCH FOCUS

Mattias Simons' research primarily focuses on nuclear decomissioning, with a specialization in radiation detection and measurement automation. His contributions include the development of novel measurement setups and the analysis of complex datasets to improve efficiency and safety in nuclear facility dismantlement.

IMPACT AND INFLUENCE

Through his research efforts, Mattias Simons has made a significant impact on the field of nuclear decomissioning. His work has the potential to revolutionize current practices by introducing advanced measurement techniques and automation technologies, thereby enhancing the overall safety and effectiveness of decommissioning processes.

ACADEMIC CITES

Mattias Simons' research findings have been widely cited in academic literature, underscoring the relevance and significance of his contributions to the field of nuclear technology and radiation detection. His work serves as a valuable resource for researchers, practitioners, and policymakers involved in nuclear decomissioning efforts.

LEGACY AND FUTURE CONTRIBUTIONS

As Mattias Simons continues his research endeavors, his legacy in the field of nuclear decomissioning is characterized by his dedication to innovation and excellence. His future contributions hold promise for further advancements in measurement automation, radiation detection, and safety protocols, shaping the future of nuclear decomissioning practices.

NOTABLE PUBLICATION

Towards a Semi-Autonomous Robot Platform for the Characterisation of Radiological Environments 2022 (2)

Minimal Detection Time for Localization of Radioactive Hot Spots in Low and Elevated Background Environments Using a CZT Gamma-Ray Spectrometer 2022 (1)

Learning Multiple Radiation Source Distribution Models using Gaussian Processes 2023

Przemyslaw Nowakowski – Architecture – Best Researcher Award

Posted on 27/03/202427/03/2024 by ScienceFather

Przemyslaw Nowakowski - Architecture - Best Researcher Award

Wroclaw University of Sciences and Technology - Poland

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS

Przemyslaw Nowakowski embarked on his academic journey at Wroclaw University of Science and Technology, where he joined the Faculty of Architecture in 1992. His early academic pursuits laid the foundation for his future contributions to the field.

PROFESSIONAL ENDEAVORS

Since 1992, Przemyslaw Nowakowski has been actively engaged in teaching and research at Wroclaw University of Science and Technology, specializing in Architecture. His commitment to the profession is evident through his extensive body of work and continuous dedication to the advancement of architectural knowledge.

CONTRIBUTIONS AND RESEARCH FOCUS

Przemyslaw Nowakowski's research primarily revolves around Architecture, with a focus on topics such as ergonomic design, building performance, and spatial planning. His contributions include studies on the aesthetic and functional aspects of architectural elements, as well as their impact on human behavior and well-being.

IMPACT AND INFLUENCE

Through his research endeavors, Przemyslaw Nowakowski has made a significant impact on the field of Architecture. His work has likely influenced architectural practice, urban planning, and design methodologies, contributing to the development of sustainable and user-centric built environments.

ACADEMIC CITES

Przemyslaw Nowakowski's research findings have likely been cited in academic literature, reflecting the relevance and significance of his contributions to the field of Architecture. His work serves as a valuable resource for researchers, educators, and practitioners alike.

LEGACY AND FUTURE CONTRIBUTIONS

As Przemyslaw Nowakowski continues his academic and research endeavors, his legacy in the field of Architecture is characterized by his commitment to excellence and innovation. His future contributions hold promise for further advancements in architectural theory, practice, and education, shaping the built environment for generations to come.

NOTABLE PUBLICATION

Beauty and Utility in Architecture, Interior Design and in the New European Bauhaus Concepts

Color of Tenement Houses Built in the 19th and Early 20th Centuries in Wroclaw (Poland)—Research, Restoration and Conservation

Ergonomic Design of Private Outdoor Living Spaces

Ergonomic Shaping of Functional and Spatial Program of Housing

Functional and Aesthetic Aspects of Modernization of Large Panel Residential Buildings

Ashal Tyurkay – Circular Construction Materials – Best Researcher Award

Posted on 27/03/202427/03/2024 by ScienceFather

Ashal Tyurkay - Circular Construction Materials - Best Researcher Award

Technical University of Denmark - Denmark

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS

Ashal Tyurkay began his academic journey at Istanbul Technical University, where he obtained his Bachelor's and Master's degrees in Architecture with a focus on Environmental Control and Construction Technologies. His commitment to excellence earned him recognition as a finalist in Archiprix Turkey 2014.

PROFESSIONAL ENDEAVORS

Ashal Tyurkay's professional endeavors encompass a diverse range of research and teaching activities. From contributing to research projects funded by prestigious institutions to co-editing final book series for COST Action, his career reflects a dedication to advancing knowledge in the field of architecture and construction.

CONTRIBUTIONS AND RESEARCH FOCUS

Ashal Tyurkay's research focuses on Circular Construction Materials, building performance, facade design, and conservation. His work spans from developing multi-functional facade panels to co-creating Nature-Based Solutions for urban regeneration. Through projects like the "PRÄKLIMA Fassade" and "Energetic Panel," he has made significant contributions to sustainable building technologies.

IMPACT AND INFLUENCE

Through his involvement in research projects and collaborations, Ashal Tyurkay has made a tangible impact on the field of architecture and construction. His research outputs, including publications and co-edited book series, have likely influenced academic discourse and practical applications in the industry.

ACADEMIC CITES

Ashal Tyurkay's research findings and contributions to collaborative projects have likely been cited in academic literature, further disseminating his insights and expertise in Circular Construction Materials and related areas.

LEGACY AND FUTURE CONTRIBUTIONS

As Ashal Tyurkay continues his academic and research endeavors, his legacy will be marked by his pioneering work in sustainable building technologies and Circular Construction Materials. His future contributions hold promise for further innovations in architectural design, construction methodologies, and environmental conservation practices.

NOTABLE PUBLICATION

From Deterioration to Revival: Approaches to the Conservation of Plastic Buildings