EIJI NAKATA | fluorescent probe | Best Researcher Award

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Assoc. Prof. Dr. EIJI NAKATA | fluorescent probe | Best Researcher Award

Associate professor, Kyoto University, Japan

Dr. Eiji Nakata, born in 1975 in Japan, is an accomplished Associate Professor at the Institute of Advanced Energy, Kyoto University. He received his Doctor of Engineering degree in 2005 from Kyushu University under Prof. I. Hamachi. With extensive postdoctoral experience at Kyoto University and EPFL, Switzerland, he honed his expertise in synthetic and biological chemistry. Dr. Nakata has held academic positions at The University of Tokushima and Kyoto University, showcasing his leadership and mentorship in interdisciplinary research. His work has garnered significant global recognition, with numerous publications in high-impact journals and accolades for advancing bioanalytical tools and nanomaterial applications.

Profile

Education

Dr. Nakata earned his Doctor of Engineering from Kyushu University, Japan, in 2005. His academic journey included roles as a JSPS fellow and postdoctoral researcher in prestigious institutions like Kyoto University and EPFL, Switzerland. Guided by leading experts, he cultivated a strong foundation in synthetic and semi-synthetic probe development, synthetic chemistry, and nanomaterials. His education emphasized practical applications of chemical and biological science to address real-world challenges. Currently, as an Associate Professor at Kyoto University, he continues to inspire and educate the next generation of researchers in advanced energy and life science innovations.

Research Focus

Dr. Nakataโ€™s research integrates chemistry, biology, and nanotechnology. He develops synthetic and semi-synthetic probes to unravel complex biological processes and designs functional protein assemblies on nanomaterials. His work spans biosensor development for disease imaging, enzyme cascades for catalytic applications, and protein-DNA nanostructures for precision biomolecular engineering. By addressing challenges in bioimaging, diagnostics, and therapeutic systems, Dr. Nakata aims to push the boundaries of interdisciplinary research, bridging science and engineering for practical, innovative solutions.

Publications

  • Spatially organized enzymes drive cofactor-coupled cascade reactions ๐Ÿงช
  • A fluorescent lectin array using supramolecular hydrogel for glycoconjugate detection ๐ŸŒŸ
  • Target-specific chemical acylation of lectins by ligand-tethered catalysts ๐Ÿ”—
  • One-pot organic chemistry on enzyme surfaces for fluorescent probes โœจ
  • Zinc-finger proteins for protein positioning on DNA origami ๐Ÿงฌ
  • Recent strategies for creating protein-based fluorescent biosensors ๐Ÿ”ฌ
  • Semisynthetic fluorescent sensor proteins via self-labeling tags ๐Ÿ› ๏ธ
  • Bioreductively-activated fluorescent pH probe for tumor hypoxia imaging ๐Ÿฅ
  • Hybrid biosensors for enhanced phosphopeptide recognition โšก
  • Coupling natural and artificial receptors for fluorescent biosensors ๐Ÿ’ก
  • Selective protein cross-linking using self-labeling tags ๐Ÿงท
  • Nucleic-acid-templated enzyme cascades ๐Ÿ“œ
  • Artificial signal transducers for fluorescent saccharide biosensors ๐ŸŒ
  • Mechanism of photochemical internalization for photosensitizer conjugates โ˜€๏ธ
  • Simultaneous detection of ATP and GTP by ribonucleopeptide sensors ๐ŸŽฏ
  • Double-modified lectins for ratiometric saccharide imaging ๐Ÿ–ผ๏ธ
  • Modular protein tags for orthogonal DNA covalent bond formation ๐Ÿ”—
  • Cell-permeable SNARF derivative for intracellular pH indication ๐Ÿ“Š
  • Zinc finger adaptors for protein linkage on DNA nanoscaffolds ๐Ÿงฉ
  • Sugar-hybrid hypoxic cell radiosensitizers ๐Ÿฌ

Driss MOULOUA | Nanomaterials | Young Scientist Award

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Dr. Driss MOULOUA | Nanomaterials | Young Scientist Award

Postdoc, LTM/CEA-Leti, France

๐ŸŒŸ 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 (2020โ€“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. Drissโ€™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

Educationย 

๐ŸŽ“ Driss Moulouaโ€™s educational journey reflects his dedication to cutting-edge materials science and renewable energy. He earned a PhD in Materials Science, Optoelectronics, and Photocatalysis (2020โ€“2023) through a cotutelle program between INRS in Quebec, Canada, and UPJV in Amiens, France. His doctoral research focused on MoSโ‚‚-based nanostructures for solar energy capture and photocatalysis, under funding from Hauts-de-France and NSERC.

In 2018โ€“2019, he completed a Masterโ€™s in Materials Processing and Engineering for Sustainable Development at Arts et Mรฉtiers ParisTech in Bordeaux-Talence, France. This followed his 2016โ€“2018 Masterโ€™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.

Experienceย 

๐Ÿ’ผ 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 Masterโ€™s internship (2019) at the University of Birmingham, UK, researching photonic metamaterials, and a Masterโ€™s internship (2018) at UPNA, Spain, exploring radiative cooling using photonic crystals and metasurfaces. During his PhD (2020โ€“2023), Driss developed MoSโ‚‚-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 Focusย 

๐Ÿ”ฌ Driss Moulouaโ€™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 MoSโ‚‚-based materials. His PhD research investigated MoSโ‚‚ 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

๐Ÿ“˜Recent Progress in the Synthesis of MoSโ‚‚ Thin Films for Sensing, Photovoltaic, and Plasmonic Applications: A Review
๐Ÿ“— One-Step Chemically Vapor Deposited Hybrid 1T-MoSโ‚‚/2H-MoSโ‚‚ Heterostructures Towards Methylene Blue Photodegradation
๐Ÿ“™ Fabrication Control of MoSโ‚‚/MoOโ‚‚ Nanocomposite via Chemical Vapor Deposition for Optoelectronic Applications
๐Ÿ“• Broadband Photodetection Using One-Step CVD-Fabricated MoSโ‚‚/MoOโ‚‚ Microflower/Microfiber Heterostructures
๐Ÿ““ Tuning Optoelectronic Properties of Pulsed Laser Deposited โ€œ3Dโ€โ€MoSโ‚‚ Films via Vertical Alignment
๐Ÿ“’ Giant Photodegradation Rate Enabled by Vertically Grown 1T/2H MoSโ‚‚ Catalyst on Silver Nanoparticles
๐Ÿ“– Scalable Optical Dye Sensors Based on Differential Reflectivity by MoSโ‚‚ Nanostructures
๐Ÿ“” Enhanced Photodetection Properties of CVD-Grown MoSโ‚‚ Nanosheets on Ag-Decorated Substrates
๐Ÿ“š Exploring Strategies for Performance Enhancement in Micro-LEDs: A Synoptic Review of IIIโ€V Semiconductor Technology

Zeinab Asgari | Animal breeding | Best Researcher Award

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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

Educationย 

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 Focusย 

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. ๐ŸŒพ Risk factors and population attributable fractions for displaced abomasum in Iranian dairy cattle: A retrospective analysis of field data.
  2. ๐Ÿ“ 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

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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 (2023โ€“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.

Profileย 

Educationย 

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 Focusย 

Prof. Manal Fawzyโ€™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.

Publicationsย 

ย ๐ŸŒฑ Sustainable synthesis of a novel hydrothermally carbonized AuNPs-hydrochar nanocomposite

๐ŸŒ From Waste to Worth: Upcycling Plastic into High-Value Carbon-Based Nanomaterials
๐Ÿงช Sustainable fabrication of dimorphic plant-derived ZnO nanoparticles
๐Ÿ’ง Retention and recycling of granules in continuous flow-through systems
๐ŸŒฟ Antioxidant, anticancer, and photocatalytic potentials of gold nanoparticles
๐Ÿ“˜ Artificial Intelligence and Modeling for Water Sustainability
๐Ÿ“š Artificial Intelligence for Sustainable Water Management and Treatment
๐ŸŒ€ Efficient Removal of Phosphate by Phyto-Graphene Composite
๐ŸŒŠ Green synthesis of zinc oxide nanoparticles using Sea Lavender
๐Ÿงฌ Synergetic effect of green synthesized reduced graphene oxide
๐ŸŒŸ Phytofabrication of bimetallic silver-copper/biochar nanocomposite
๐Ÿ”ฌ Green synthesis of bimetallic Ag/ZnO@Biochar nanocomposite
โš›๏ธ Novel Biogenic Synthesis of Ag@Biochar Nanocomposite
โ˜ข๏ธ Facile Synthesis of Gold Nanoparticles for Anticancer and Environmental Applications
๐Ÿงช Optimization of mild steel corrosion inhibition by plant extracts
๐Ÿ’ก Catalytic and Medical Potential of Phyto-Functionalized Nanocomposites
๐ŸŒฑ Green Synthesis of Nano-Zero-Valent Iron Using Plant Extracts
๐Ÿฆ  COVID-19 transmission, persistence, and nanotherapy
๐ŸŒฟ Comparative study of Phragmites australis extracts for gold nanoparticle synthesis
๐ŸŒ Techno-economic and environmental approaches of Cdยฒโบ adsorption by olive leaves

merve pฤฑnar | Machine Learning | Best Researcher Award

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Dr. merve pฤฑnar | 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 ร‡anakkale Onsekiz Mart University, where she studied Engineering (2009-2013). Merveโ€™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.

Profileย 

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: “DerinรถฤŸrenme yรถntemleri kullanฤฑlarak beyin tรผmรถrรผ tiplerinin ve sฤฑnฤฑrlarฤฑnฤฑn tahminlenmesi” (Prediction of brain tumor types and boundaries using deep learning methods).
  • Undergraduate (2009-2013): ร‡anakkale 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 Pinarโ€™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 ๐Ÿง ๐Ÿ’ป (2024)
  • Hyperparameter Optimization for Recommendation Systems with Big Data ๐Ÿ“Š๐Ÿ” (2017)

GEHAN ELSAYED | SMART CITIES | Best Research Article Award

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

ASSOCIATE PROFESSOR, JOUF UNIVERSITY, Egypt

๐Ÿ“š 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 childrenโ€™s schools. ๐ŸŒ

Profile

Orcid

Education

๐ŸŽ“ 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 Bachelorโ€™s degree in Architecture at Shoubra, Zagazig University in 1992. ๐ŸŽ“

Experience

๐Ÿ’ผ 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

๐Ÿ”ฌ Gehan Elsayedโ€™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. ๐Ÿ›๏ธ

Publications

  1. Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for Mobility and Localization in Intelligent Transportation Systems (2024) ๐Ÿš—
  2. Determining Safety and Security Factor Inside School of Blindnessย  (Noor Publishing, 978-3-330-84370-7) ๐Ÿ“˜๐Ÿ“˜

Javad Amini Mahabadi | Reproductive Biology | Best Research Article Award

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Dr. Javad Amini Mahabadi | Reproductive Biology | Best Research Article Award

Kashan University of Medical Sciences, Gametogenesis Research Center, Iran

Javad Amini Mahabadi is a prominent Iranian researcher born on March 22, 1985, in Ardestan, Isfahan, Iran. He holds significant academic positions at the Gametogenesis Sciences Research Center and the Anatomical Sciences Research Center at Kashan University of Medical Sciences, as well as the Sarem Gynecology, Obstetrics and Infertility Research Center in Tehran. He is an expert in reproductive biology, stem cell research, and medical genetics, with a deep focus on the differentiation of stem cells into primordial germ cells. Dr. Mahabadi has published extensively in high-impact journals, with several articles in the fields of male infertility, stem cell therapies, and reproductive medicine. With a Google Scholar h-index of 15 and Scopus h-index of 12, he continues to contribute to scientific advancements in his field, collaborating with international researchers.

Profile

Google Scholar

Education

Dr. Javad Amini Mahabadi earned his Ph.D. in Reproductive Biology from Kashan University of Medical Sciences in 2019, specializing in stem cell differentiation and germ cell biology. Prior to this, he completed his Masterโ€™s in Animal Physiology at the University of Zanjan (2011) and his Bachelor’s in Animal Science at Razi University (2007). His graduate research focused on the effects of sesame seed regimen on the reproductive systems of male rats and the differentiation of mouse induced pluripotent stem cells to primordial germ cells-like (PGCs). His advanced studies have made him an expert in both medical genetics and stem cell research, particularly in their applications to infertility treatments and reproductive health.

Experience

Dr. Mahabadi has extensive experience in academic teaching, research, and administration. He is currently a faculty member at Kashan University of Medical Sciences, where he teaches subjects such as stem cell culture, sperm analysis, and scientific writing. In addition to his teaching roles, he has served as a Supervisor Engineer at a mother chicken company and worked as an Administrative Officer at Nain University. His academic roles are complemented by his leadership in various workshops on research topics like stem cell culture, proposal writing, and Endnote. He has also been an active member of the student research committee at Kashan University, mentoring students in research activities and fostering a collaborative academic environment.

Research Focus

Dr. Mahabadi’s research focuses on reproductive biology, stem cells, and medical genetics, with particular emphasis on induced pluripotent stem cells (iPSCs) and germ cell differentiation. His work investigates the impact of hormones like estrogen, progesterone, and testosterone, alongside compounds like retinoic acid, in directing stem cell differentiation into primordial germ cells (PGCs). He also studies herbal medicineโ€™s effects on male infertility and explores nanotechnology’s potential in stem cell therapies. Dr. Mahabadi’s research aims to advance understanding in areas of IVF, ICSI, and medical genetics, with applications for improving fertility treatments and developing new regenerative therapies. His interdisciplinary approach merges reproductive physiology with cutting-edge stem cell science.

Publications

  1. Effects of herbal medicine on male infertility ๐ŸŒฟ๐Ÿ‘จโ€๐Ÿ”ฌ
  2. Protective effect of Pumpkin seed extract on sperm characteristics ๐ŸŽƒ๐Ÿ‘จโ€๐Ÿ”ฌ
  3. PCL/PVA nanofibrous scaffold improve insulin-producing cells generation ๐Ÿ”ฌ๐Ÿ’‰
  4. Improved osteogenic differentiation of human induced pluripotent stem cells ๐Ÿฆด๐Ÿงฌ
  5. MicroRNA incorporated electrospun nanofibers improve osteogenic differentiation ๐Ÿงฌ๐Ÿงช
  6. Studies on combination of oxaliplatin and dendrosomal nanocurcumin ๐Ÿ’Š๐Ÿ”ฌ
  7. Protective effect of combined pumpkin seed and ginger extracts on sperm characteristics ๐ŸŒฑ๐Ÿ’Š
  8. Derivation of male germ cells from induced pluripotent stem cells ๐Ÿงฌ๐Ÿ‘ถ
  9. Effect of diet contains sesame seed on adult Wistar rat testis ๐ŸŒฐ๐Ÿ
  10. Prevalence of transfusion-transmitted virus (TTV) infection ๐Ÿฆ ๐Ÿ’‰
  11. L-carnitine reduces ROS adverse effects in mouse embryos ๐Ÿงฌ๐ŸŒฟ
  12. The role of microRNAs in stem cell differentiation into male germ cells ๐Ÿงฌ๐Ÿ’ก
  13. Anticancer effect of enterocin A-colicin E1 fusion peptide ๐Ÿ’‰๐Ÿฆ 
  14. The combination of retinoic acid and estrogen on germ cell gene expression ๐Ÿ’Š๐Ÿงฌ
  15. Protective Effect of Alcoholic Extract of Garden Cress Seeds ๐ŸŒฑ๐Ÿงฌ
  16. Differential expression of HSP90ฮฒ in MDA-MB-231 and MCF-7 cell lines ๐Ÿ”ฌ๐Ÿงฌ
  17. Effect of Sesame-Supplemented Diet on Prostate Histology ๐ŸŒฐ๐Ÿงฌ
  18. The protective effects of curcumin on teratogenic activity of retinoic acid ๐ŸŒฟ๐Ÿงฌ

Shuo Do | Electrocatalysis | Best Researcher Award

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Prof. Shuo Dou | Electrocatalysis | Best Researcher Award

none, Northeast Forestry University, China

Professor Shuo Dou is a distinguished academic currently serving as a professor at the School of Material Science and Engineering at Northeast Forestry University, China. His academic journey began with a Bachelor’s degree in Chemical Engineering and Technology from Northeast Forestry University, followed by a Master’s degree in Polymer Chemistry and Physics from the same institution. He completed his Ph.D. in Chemistry at Hunan University under the mentorship of Prof. Shuangyin Wang. Afterward, he worked as a Postdoctoral Research Fellow at Nanyang Technological University in Singapore. Prof. Dou’s research expertise focuses on nanomaterials, electrocatalysis, and biomass conversion. His contributions to the scientific community have been instrumental in advancing the field of renewable energy and sustainable materials. Through his extensive publication record, Prof. Dou continues to make significant strides in electrochemical catalysis and the valorization of biomass, earning recognition as a leading figure in his field. ๐ŸŒ๐Ÿ”ฌ

Profile

Educationย 

Professor Shuo Dou completed his B.S. in Chemical Engineering and Technology at the College of Science, Northeast Forestry University, China (Sep 2006 – Jun 2010). He furthered his studies with a M.S. in Polymer Chemistry and Physics at the same institution (Sep 2010 – Jun 2013). He then pursued a Ph.D. in Chemistry at the College of Chemistry and Chemical Engineering, Hunan University, China, under the supervision of Prof. Shuangyin Wang, from Sep 2013 to Jun 2017. His doctoral research focused on advanced materials for electrochemical energy conversion. Through his comprehensive academic foundation, Professor Dou developed a strong understanding of material science, catalysis, and electrochemistry, setting the stage for his future contributions to these fields. His educational journey reflects a consistent commitment to excellence in both theoretical knowledge and applied research. ๐Ÿ“š๐ŸŽ“

Experienceย 

Professor Shuo Dou has gained significant experience in both academic research and teaching. After completing his Ph.D., he worked as a Postdoctoral Research Fellow at the School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, from Sep 2017 to Dec 2020. Under the guidance of Prof. Wang Xin, he focused on advanced materials for electrocatalysis and biomass conversion. In Mar 2021, he returned to China to become a Professor at the School of Material Science and Engineering, Northeast Forestry University. In this role, he leads research on nanomaterials, metal-organic frameworks, and electrocatalysis for energy conversion. As a professor, he also mentors students and contributes to advancing the field through collaborative and interdisciplinary projects. Prof. Dou’s diverse experience in both China and Singapore has broadened his perspective, allowing him to contribute globally to sustainable technologies. ๐ŸŒฑ๐Ÿ’ก

Research Focusย 

Professor Shuo Dou’s research primarily revolves around electrocatalysis and the conversion of biomass into high-value chemicals. His work explores the synthesis and characterization of nanomaterials and metal-organic frameworks (MOFs) to act as electrocatalysts for various reactions such as the oxygen reduction reaction (ORR), oxygen evolution reaction (OER), and CO2 reduction reaction (CO2RR). He is particularly interested in developing sustainable and efficient catalysts to improve energy conversion and environmental sustainability. Another key area of his research involves the electrochemical conversion of biomass, especially lignin and cellulose, into valuable chemicals. Prof. Dou’s work has significant implications for renewable energy, carbon capture, and environmentally friendly technologies. By focusing on these cutting-edge topics, he aims to provide novel solutions for green energy production and biomass valorization, contributing to a more sustainable future. ๐ŸŒฑ๐Ÿ”‹โšก

Publications

  1. Synergistic boosting the electrooxidation of biomass-based hydroxymethylfurfural on cellulose-derived Coโ‚ƒOโ‚„/N-doped carbon catalysts ๐ŸŒฟ
  2. Pickering emulsions stabilized by aldehyde-modified cellulose nanofibrils: Stabilization and asphalt recovery application ๐Ÿ›ข๏ธ
  3. Lattice Strain Engineering on Metal-Organic Frameworks by Ligand Doping to Boost the Electrocatalytic Biomass Valorization ๐Ÿงช
  4. Electrochemical hydrogenation of furfural under alkaline conditions with enhanced furfuryl alcohol selectivity by self-grown Cu on an Ag electrode ๐Ÿ”ฌ
  5. Constructing Asymmetrical Coordination Microenvironment with Phosphorus-Incorporated Nitrogen-Doped Carbon to Boost Bifunctional Oxygen Electrocatalytic Activity ๐Ÿ’จ
  6. Efficient biobased carboxylic acids synthesis by synergistic electrocatalysis of multi-active sites on bimetallic Cu-Co oxide/oxyhydroxide โš™๏ธ
  7. Electrocatalytic Oxidative Cleavage of Lignin: Facile and Efficient Biomass Valorization Strategy ๐ŸŒณ
  8. Magnetic field-induced synthesis of (Ni, Zn)Feโ‚‚Oโ‚„ spinel nanorod for enhanced alkaline hydrogen evolution reaction โšก
  9. Hyperlooping Carbon Nanotube-Graphene Oxide Nanoarchitectonics as Membranes for Ultrafast Organic Solvent Nanofiltration ๐Ÿ’ง
  10. Electrocatalytic Lignin Valorization into Aromatic Products via Oxidative Cleavage of C โˆ’C Bonds ๐Ÿ”ฅ

Mr. Rana Muhammad Amir Latif | Human Geography | Best Researcher Award

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Mr. Rana Muhammad Amir Latif | Human Geography | Best Researcher Award

PhD, Scholar, The Center for Modern Chinese City Studies, School of Geographical Sciences, East China Normal University, China

Rana Muhammad Amir Latif is a Ph.D. candidate at East China Normal University, Shanghai, specializing in Human Geography. He has a strong academic background, with a Master’s in Computer Science and a Bachelor’s in the same field. He has worked extensively as a lecturer and research assistant, sharing his expertise in urban science, technology, and computer science. His research interests span blockchain, smart cities, IoT, and machine learning. With multiple publications in international journals and conferences, he has become an active contributor to the academic community. He has also served in editorial roles for several high-impact journals. Rana is passionate about research and aims to revolutionize educational and administrative systems in higher education.

Profile

Google Scholar

Education

Rana completed his Ph.D. in Human Geography at East China Normal University, Shanghai, in 2026. He holds a Master’s in Computer Science from COMSATS University Islamabad, Sahiwal Campus (2019), with a CGPA of 3.34/4. His Bachelor’s in Computer Science from the same university (2017) was awarded with a CGPA of 2.89/4. Additionally, he earned a Bachelor of Education (B.Ed.) from Allama Iqbal Open University, Islamabad, and his intermediate and matriculation education from local institutions, with strong academic performances. This solid foundation in both science and education positions him well to make impactful contributions in the academic and research fields.

Experience

Rana has a diverse teaching and research experience. As a Research Assistant at East China Normal University since 2022, he has been actively involved in urban science projects. He also worked as a Lecturer at Barani Institute of Sciences (2019โ€“2023) and Quaid-e-Azam College (2018โ€“2019). His research contributions are significant, with a focus on smart systems, machine learning, and IoT. Additionally, he has served as a Research Assistant at COMSATS University Islamabad and as a Teacher Assistant. His industry experience includes a six-week internship at SILK Bank. His teaching roles involve supervising undergraduate projects and mentoring students on cutting-edge technologies.

Research Focus

Rana’s research focuses on the intersection of technology and urban planning, specifically in human geography, smart cities, and IoT. His work includes leveraging blockchain for healthcare, supply chain management, and developing scalable IoT systems. His interest in machine learning and data analytics is reflected in projects like analyzing Google Play Store content and smart assessment methodologies. Rana’s interdisciplinary approach combines geographic studies with advanced computing techniques to create sustainable urban solutions. His academic goals include fostering practical, world-class research and transforming educational practices to bridge the gap between theoretical knowledge and industry requirements.

Publications

  1. A remix IDE: smart contract-based framework for the healthcare sector by using Blockchain technology
  2. Retail level Blockchain transformation for product supply chain using truffle development platform
  3. Google play content scraping and knowledge engineering using natural language processing techniques with the analysis of user reviews
  4. Data scraping from google play store and visualization of its content for analytics
  5. Integration of google play content and frost prediction using cnn: scalable iot framework for big data
  6. A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques
  7. Smart city based autonomous water quality monitoring system using WSN
  8. A smart methodology for analyzing secure e-banking and e-commerce websites
  9. A novel authentication and communication protocol for urban traffic monitoring in VANETs based on cluster management
  10. Blockchain transforms the retail level by using a supply chain rules and regulation
  11. Real-time simulation of iot based smart home live mirror using wsn
  12. Real-time simulation of smart lighting system in smart city
  13. [Retracted] The Impact of Online Learning System on Students Affected with Stroke Disease
  14. A methodology of customized dataset for cotton disease detection using deep learning algorithms
  15. Internet of medical things for smart D3S to enable road safety
  16. A smart heart beat analytics system using wearable device
  17. Design of an IoT based warfare car robot using sensor network connectivity
  18. An energy-efficient routing protocol via angle-based flooding zone in underwater wireless sensor networks
  19. Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework
  20. Visualization and analytics of biological data by using different tools and techniques

Saeid Seyedi | quantum | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Saeid Seyedi | quantum | Best Researcher Award

Member, BASU, Iran

Saeid Seyedi is a prominent Iranian researcher in the field of Computer Engineering, specializing in Quantum-dot Cellular Automata (QCA) and nanotechnology. He holds a Ph.D. from Bu-Ali Sina University and is a member of the Young Researchers and Elite Club at Islamic Azad University (IAU). Recognized among the worldโ€™s top 2% scientists by Stanford University, Saeid has made significant contributions in fault-tolerant hardware, low-power nanoelectronics, wireless sensor networks, and QCA-based technology. With an extensive publication record and active roles as a reviewer for prestigious journals, his research is disseminated globally. He is also involved in various research projects, aiming to advance nanotechnology and computational hardware. Saeidโ€™s work has earned him recognition in both academic and professional circles, and he is committed to advancing knowledge in quantum computing, electronics, and nanoscience.

Profile

Education

Saeid Seyedi pursued his academic journey in Computer Engineering, earning his Master’s degree from the Islamic Azad University Science and Research Branch in Tabriz, Iran (2015-2017). His studies focused on Quantum-dot Cellular Automata (QCA) technology and its applications in nanoelectronics. After completing his Masterโ€™s degree, he continued his studies at Bu-Ali Sina University, where he is currently working towards his Ph.D. in Computer Engineering. His academic interests are deeply rooted in advanced computational systems, nanotechnology, and quantum computing, and he has shown a strong commitment to exploring the intersection of these fields. Saeid has been an active member of the Young Researchers and Elite Club at IAU since 2018, which further demonstrates his dedication to both learning and contributing to the academic community. His work continues to push the boundaries of nanoscale technologies and fault-tolerant hardware designs.

Research Focus

Saeid Seyediโ€™s research primarily revolves around Quantum-dot Cellular Automata (QCA) and nanotechnology, focusing on designing and optimizing nanoscale circuits for computing and electronics. His work aims to push the limits of conventional semiconductor technology by exploring QCA as a promising alternative for future electronics. He also delves into fault-tolerant hardware, ensuring the reliability of nanoscale systems in real-world applications. His interests extend to the application of nanotechnology in wireless sensor networks, IoT, and cloud computing. Another key area of his research involves low-power design techniques for nanoelectronics, ensuring energy efficiency in future computing systems. Additionally, Saeid has contributed to the development of image processing techniques in nanoscience, particularly in the context of nanoelectronics. Through his work, he seeks to contribute to the advancement of quantum computing, digital design, and the broader field of nanoelectronics, addressing critical challenges in the next generation of computational systems.

Publicationsย 

  1. An Approximate XOR-based Full-Adder in Quantum Cellular Automata โšก๐Ÿ”ฌ
  2. An Efficient New Design of Nano-Scale Comparator Circuits Using Quantum-Dot Technology ๐Ÿง โš™๏ธ
  3. Efficient Design and Implementation of Approximate FA, FS, and FA/S Circuits for Nanocomputing in QCA ๐Ÿ–ฅ๏ธ๐Ÿ”ง
  4. Quantum-Based Serial-Parallel Multiplier Circuit Using an Efficient Nano-Scale Serial Adder ๐Ÿ”ข๐Ÿ’ก
  5. A Space-Efficient Universal and Multi-Operative Reversible Gate Design Based on Quantum-Dots ๐ŸŒ€๐Ÿ”—
  6. A Fault-Tolerant Image Processor for Executing the Morphology Operations Based on a Nanoscale Technology ๐Ÿ–ผ๏ธ๐Ÿ”’
  7. A New Nano-Scale and Energy-Optimized Reversible Digital Circuit Based on Quantum Technology โšก๐Ÿ’ก
  8. An Efficient Structure for Designing a Nano-Scale Fault-Tolerant 2:1 Multiplexer Based on Quantum-Dot Cellular Automata ๐Ÿ”„โš™๏ธ
  9. Designing a Multi-Layer Full-Adder Using a New Three-Input Majority Gate Based on Quantum Computing ๐Ÿงฎ๐Ÿ’ป
  10. Designing a Three-Level Full-Adder Based on Nano-Scale Quantum Dot Cellular Automata ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ”ข
  11. Design and Analysis of Fault-Tolerant 1:2 Demultiplexer Using Quantum-Dot Cellular Automata Nano-Technology ๐Ÿ”„๐Ÿ”‹
  12. A New Cost-Efficient Design of a Reversible Gate Based on Nano-Scale Quantum-Dot Cellular Automata Technology ๐Ÿท๏ธ๐Ÿง 
  13. A New Coplanar Design of a 4-Bit Ripple Carry Adder Based on Quantum-Dot Cellular Automata Technology โฌ†๏ธ๐Ÿ”ข
  14. A Fault-Tolerance Nanoscale Design for Binary-to-Gray Converter Based on QCA ๐Ÿ”„๐Ÿ’ก
  15. Designing a New 4:2 Compressor Using an Efficient Multi-Layer Full-Adder Based on Nanoscale Quantum-Dot Cellular Automata ๐Ÿ”ง๐Ÿ’ก