Driss MOULOUA | Nanomaterials | Young Scientist Award

Published on by World Top Scientists

Dr. Driss MOULOUA | Nanomaterials | Young Scientist Award

Postdoc, LTM/CEA-Leti, France

🌟 Driss Mouloua, a dynamic researcher in nanomaterials, optoelectronics, and nanophotonics, currently serves as a postdoctoral researcher at the CNRS Laboratory of Microelectronics Technology (LTM) at CEA/LETI, Grenoble, France. Born on July 29, 1994, in Morocco, Driss pursued his passion for science through a journey across multiple countries and prestigious institutions. With a PhD in Materials Science and Optoelectronics (2020–2023), earned through a cotutelle program between INRS in Quebec, Canada, and UPJV in Amiens, France, he specializes in nanostructures for solar energy and photocatalysis. Driss’s exceptional academic journey includes advanced degrees in renewable energy and sustainable engineering. Multilingual and equipped with expertise in advanced research tools, Driss has authored numerous high-impact publications in semiconductor physics, micro/nanofabrication, and 2D materials. With his innovative work, Driss continues to contribute to the advancement of micro-LEDs, lasers, and nanophotonic devices.

Profile

Education 

🎓 Driss Mouloua’s educational journey reflects his dedication to cutting-edge materials science and renewable energy. He earned a PhD in Materials Science, Optoelectronics, and Photocatalysis (2020–2023) through a cotutelle program between INRS in Quebec, Canada, and UPJV in Amiens, France. His doctoral research focused on MoS₂-based nanostructures for solar energy capture and photocatalysis, under funding from Hauts-de-France and NSERC.

In 2018–2019, he completed a Master’s in Materials Processing and Engineering for Sustainable Development at Arts et Métiers ParisTech in Bordeaux-Talence, France. This followed his 2016–2018 Master’s in Renewable Energies and Storage Technologies from Mohammed V University in Rabat, Morocco. Driss also undertook specialized internships in photonic applications and radiative cooling at the University of Birmingham, UK, and UPNA, Spain. With an extensive academic foundation and global research exposure, Driss excels in advancing nanomaterials and optoelectronics.

Experience 

💼 Driss Mouloua has cultivated a robust research portfolio through diverse roles in prestigious institutions. Since June 2023, he has been a postdoctoral researcher at CNRS/LTM at CEA/LETI, Grenoble, where he focuses on integrating micro-LEDs and III-V semiconductor lasers on silicon for infrared applications.

His previous experiences include a Master’s internship (2019) at the University of Birmingham, UK, researching photonic metamaterials, and a Master’s internship (2018) at UPNA, Spain, exploring radiative cooling using photonic crystals and metasurfaces. During his PhD (2020–2023), Driss developed MoS₂-based nanostructures for energy and photocatalysis, conducting research across Canada and France.

In each role, Driss has honed his expertise in semiconductor physics, nanofabrication, and optoelectronics. Proficient in cutting-edge simulation tools like COMSOL and Python, Driss applies his skills to innovative projects with global impact, advancing technologies in renewable energy and photonics.

Research Focus 

🔬 Driss Mouloua’s research emphasizes cutting-edge advancements in nanomaterials, optoelectronics, and energy applications. He specializes in semiconductor physics, focusing on the fabrication and characterization of nanostructures such as MoS₂-based materials. His PhD research investigated MoS₂ nanostructures for solar energy capture and photocatalysis, demonstrating significant enhancements in photodetection and energy conversion.Currently, his work at CNRS/LTM explores monolithic integration of III-V semiconductor lasers and micro-LEDs on silicon platforms, aiming to revolutionize infrared optoelectronic devices. Driss also engages in designing metasurfaces and photonic crystals for passive radiative cooling and advanced photonics.Employing simulation tools like COMSOL and Nextnano+, Driss investigates nanoscale properties of materials to optimize performance in photonic and energy applications. His interdisciplinary focus bridges fundamental science and practical applications, driving innovations in renewable energy, 2D materials, and scalable micro/nanofabrication.

Publications

📘Recent Progress in the Synthesis of MoS₂ Thin Films for Sensing, Photovoltaic, and Plasmonic Applications: A Review
📗 One-Step Chemically Vapor Deposited Hybrid 1T-MoS₂/2H-MoS₂ Heterostructures Towards Methylene Blue Photodegradation
📙 Fabrication Control of MoS₂/MoO₂ Nanocomposite via Chemical Vapor Deposition for Optoelectronic Applications
📕 Broadband Photodetection Using One-Step CVD-Fabricated MoS₂/MoO₂ Microflower/Microfiber Heterostructures
📓 Tuning Optoelectronic Properties of Pulsed Laser Deposited “3D”‐MoS₂ Films via Vertical Alignment
📒 Giant Photodegradation Rate Enabled by Vertically Grown 1T/2H MoS₂ Catalyst on Silver Nanoparticles
📖 Scalable Optical Dye Sensors Based on Differential Reflectivity by MoS₂ Nanostructures
📔 Enhanced Photodetection Properties of CVD-Grown MoS₂ Nanosheets on Ag-Decorated Substrates
📚 Exploring Strategies for Performance Enhancement in Micro-LEDs: A Synoptic Review of III‐V Semiconductor Technology

Zeinab Asgari | Animal breeding | Best Researcher Award

Published on by World Top Scientists

Dr. Zeinab Asgari | Animal breeding | Best Researcher Award

Dr, Isfahan University of Technology, Iran

Dr. Zeinab Asgari is a distinguished researcher specializing in genetic and animal breeding. She earned her master’s degree at Tarbiat Modares University, ranking first among her peers. Currently, she is pursuing a Ph.D. in genetic and animal breeding at Isfahan University of Technology (IUT), where she has also been recognized for academic excellence. Her passion for innovation drives her interest in data analysis, machine learning, and genome-wide association studies (GWAS). Dr. Asgari has contributed significantly to the scientific community through her research and publications. She aims to explore advanced methodologies and collaborate internationally to make meaningful contributions to genetics and animal breeding.

Profile

Scopus

Education 

Dr. Zeinab Asgari completed her master’s degree in genetic and animal breeding engineering at Tarbiat Modares University, where she achieved first place among her cohort. She began her Ph.D. studies in genetic and animal breeding in 2018 at Isfahan University of Technology (IUT), maintaining her status as an excellent student. Her academic journey reflects a commitment to excellence and innovation. Throughout her education, she has focused on integrating cutting-edge statistical and computational techniques into genetic studies, particularly Bayesian methodologies and machine learning. These skills have empowered her to address complex challenges in animal breeding, such as improving economic traits in livestock and conducting genome-wide association studies (GWAS).

Research Focus 

Dr. Asgari’s research centers on genetic and animal breeding with an emphasis on data analysis and machine learning. Her expertise includes genome-wide association studies (GWAS), leveraging Bayesian methodologies to uncover genetic markers influencing traits such as body weight in chickens and health traits in dairy cows. Her work addresses practical challenges in agriculture, aiming to enhance economic and genetic traits in livestock. Dr. Asgari is passionate about applying computational tools and advanced statistical methods to improve breeding programs and contribute to sustainable agricultural practices. Her ongoing efforts involve identifying genetic markers for economically important traits, utilizing retrospective data, and integrating innovative approaches for actionable insights.

Publications

  1. 🌾 Risk factors and population attributable fractions for displaced abomasum in Iranian dairy cattle: A retrospective analysis of field data.
  2. 🐓 Bayes factors revealed selection signature for time to market body weight in chicken: A genome-wide association study using BayesCpi methodology.

Manal Fawzy | Green Technology | Best Review Article Award

Published on by World Top Scientists

Prof. Manal Fawzy | Green Technology | Best Review Article Award

Prof., Environmental Biotechnology , Environmental Sciences Dept, Faculty Of Science, Alexandria University, Egypt

Prof. Manal Fawzy Ahmed, an Environmental Phyto-technologist, is a founding member of the Environmental Sciences Department at Alexandria University. A distinguished researcher and academic, she leads the Green Technology Group and serves as Chair of the Egyptian National Man & Biosphere Commission to UNESCO. In recognition of her expertise, UNESCO appointed her to the International Advisory Committee for the Man and Biosphere Program (2023–2026). Prof. Fawzy has received numerous accolades, including the UNESCO Young Scientist Award (1991) and Sultan Qaboos Prize for Environmental Preservation (1997). Her pioneering work spans biodiversity conservation, restoration of degraded ecosystems, and nanotechnology-based water treatment. A prolific scholar, she has published 73 Scopus-indexed articles, a book, and nine book chapters while mentoring students and engaging with global scientific communities.

Profile 

Education 

Prof. Manal Fawzy Ahmed obtained her PhD in Plant Flora and Taxonomy from Alexandria University in collaboration with the Biosystematics Research Centre, Ottawa, Canada, in 1991. Her academic journey laid a robust foundation in plant sciences and environmental studies. During her doctoral research, she developed a comprehensive understanding of biodiversity and plant taxonomy, contributing significantly to these fields. Over the years, Prof. Fawzy expanded her expertise, embracing interdisciplinary approaches to address pressing environmental challenges. Through continuous professional development, including participation in 40 workshops and 42 national and international conferences, she honed her skills in environmental impact assessment, biodiversity monitoring, and phytoremediation techniques. This rich educational and professional background underpins her innovative research and leadership in environmental sciences.

Research Focus 

Prof. Manal Fawzy’s research emphasizes using indigenous plant species to remediate polluted environments and synthesize nanomaterials for wastewater treatment. She explores green biotechnology, focusing on the phytofabrication of nanocomposites with environmental and biomedical applications. Her groundbreaking work includes developing biochar, graphene, and metal-based nanomaterials for pollution control, as well as addressing environmental challenges like heavy metal contamination and antibiotic pollution. Prof. Fawzy also leads projects on biodiversity conservation and ecosystem restoration, applying sustainable and nature-based solutions. A passionate advocate of sustainable development, her research integrates advanced technologies with ecological principles to tackle global environmental issues effectively.

Publications 

 🌱 Sustainable synthesis of a novel hydrothermally carbonized AuNPs-hydrochar nanocomposite

🌍 From Waste to Worth: Upcycling Plastic into High-Value Carbon-Based Nanomaterials
🧪 Sustainable fabrication of dimorphic plant-derived ZnO nanoparticles
💧 Retention and recycling of granules in continuous flow-through systems
🌿 Antioxidant, anticancer, and photocatalytic potentials of gold nanoparticles
📘 Artificial Intelligence and Modeling for Water Sustainability
📚 Artificial Intelligence for Sustainable Water Management and Treatment
🌀 Efficient Removal of Phosphate by Phyto-Graphene Composite
🌊 Green synthesis of zinc oxide nanoparticles using Sea Lavender
🧬 Synergetic effect of green synthesized reduced graphene oxide
🌟 Phytofabrication of bimetallic silver-copper/biochar nanocomposite
🔬 Green synthesis of bimetallic Ag/ZnO@Biochar nanocomposite
⚛️ Novel Biogenic Synthesis of Ag@Biochar Nanocomposite
☢️ Facile Synthesis of Gold Nanoparticles for Anticancer and Environmental Applications
🧪 Optimization of mild steel corrosion inhibition by plant extracts
💡 Catalytic and Medical Potential of Phyto-Functionalized Nanocomposites
🌱 Green Synthesis of Nano-Zero-Valent Iron Using Plant Extracts
🦠 COVID-19 transmission, persistence, and nanotherapy
🌿 Comparative study of Phragmites australis extracts for gold nanoparticle synthesis
🌍 Techno-economic and environmental approaches of Cd²⁺ adsorption by olive leaves

merve pınar | Machine Learning | Best Researcher Award

Published on by World Top Scientists

Dr. merve pınar | Machine Learning | Best Researcher Award

Research Ass, Marmara University, Turkey

Merve Pinar is a Research Assistant in the Faculty of Technology, Computer Engineering Department at Marmara University, Turkey. She has been pursuing her doctorate since 2023 at Marmara University in the field of Computer Engineering. Her academic journey includes a postgraduate degree from the Institute for Graduate Studies in Pure and Applied Sciences (2019-2022) and an undergraduate degree from Çanakkale Onsekiz Mart University, where she studied Engineering (2009-2013). Merve’s work primarily focuses on artificial intelligence, machine learning, and their applications in various fields, especially healthcare. She is dedicated to exploring innovative solutions using deep learning and pattern recognition techniques. Her contributions to the academic community include publications in respected journals and conferences. She also actively collaborates with other researchers to advance the field.

Profile 

Education

  • Doctorate (2023-Present): Marmara University, Faculty of Technology, Computer Engineering, Turkey.
  • Postgraduate (2019-2022): Marmara University, Institute for Graduate Studies in Pure and Applied Sciences, Turkey. Dissertation: “Derinöğrenme yöntemleri kullanılarak beyin tümörü tiplerinin ve sınırlarının tahminlenmesi” (Prediction of brain tumor types and boundaries using deep learning methods).
  • Undergraduate (2009-2013): Çanakkale Onsekiz Mart University, Faculty of Engineering, Turkey.

Merve’s academic background provides a solid foundation in computer engineering, artificial intelligence, and data science. She continues to pursue advanced studies, focusing on leveraging machine learning and deep learning methods to address complex problems in health and technology.

Research Focus

Merve Pinar’s research focuses on the intersection of artificial intelligence, machine learning, and medical applications. Her primary interests are database management, data structures, pattern recognition, and deep learning. She specializes in using AI techniques for medical imaging, particularly in the classification and segmentation of brain tumor types using MRI and surgical microscope images. Her work aims to enhance diagnostic tools, improving the accuracy and efficiency of healthcare systems. Additionally, she is involved in hyperparameter optimization for big data applications, which helps improve recommendation systems. Merve’s interdisciplinary research is positioned at the cutting edge of AI, combining computer engineering with real-world applications, particularly in healthcare technology, where deep learning plays a crucial role in revolutionizing diagnostics and treatment strategies.

Publications

  • Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images 🧠💻 (2024)
  • Hyperparameter Optimization for Recommendation Systems with Big Data 📊🔍 (2017)

GEHAN ELSAYED | SMART CITIES | Best Research Article Award

Published on by World Top Scientists

Prof. GEHAN ELSAYED | SMART CITIES | Best Research Article Award

ASSOCIATE PROFESSOR, JOUF UNIVERSITY, Egypt

📚 Gehan Ahmed Ibrahim Elsayed is a distinguished Professor of Heritage Conservation and Vice Dean for Community and Environmental Affairs at Damanhur University, Egypt. With a passion for teaching and architecture, he specializes in urban design, landscape design, and heritage conservation using advanced technologies such as laser cutting and 3D printing. In addition to his academic career, he actively participates in quality assurance for higher education institutions. Elsayed is fluent in both Arabic and English and has authored various publications, including a book on safety and security for blind children’s schools. 🌍

Profile

Orcid

Education

🎓 Gehan Elsayed holds an extensive academic background. He is pursuing his Professor rank in Architecture at Ain Shams University (2022), with a PhD in Architecture from Cairo University (2007). His doctoral research focused on safety and security in schools for blind children. Elsayed also completed his MSc. in Architecture (2004) at Ain Shams University, focusing on the design criteria for schools for blind children, and his Bachelor’s degree in Architecture at Shoubra, Zagazig University in 1992. 🎓

Experience

💼 Professor Gehan Elsayed has extensive teaching and leadership experience. He currently serves as Vice Dean at Damanhur University. Previously, he was the Head of the Architecture Department at Modern University for Information & Technology (MTI) and has taught courses in architecture design, urban design, and history at multiple Egyptian universities. Elsayed is an accredited external reviewer for national accreditation, supervising universities across Egypt. He also directs the Quality Assurance Unit at the Faculty of Engineering, Damanhur University.

Research Focus

🔬 Gehan Elsayed’s research focus is on heritage conservation, urban design, and the integration of new technologies in architecture. He explores innovative techniques like laser cutting and 3D printing for model-making and sustainable architectural practices. His work also includes research on safety and security in specialized environments, such as schools for blind children, and privacy preservation in intelligent transportation systems. Elsayed aims to bridge the gap between technology and tradition to create solutions for contemporary architectural challenges. 🏛️

Publications

  1. Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for Mobility and Localization in Intelligent Transportation Systems (2024) 🚗
  2. Determining Safety and Security Factor Inside School of Blindness  (Noor Publishing, 978-3-330-84370-7) 📘📘