Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. πŸ†βš‘πŸ“š

Publication Profile

ORCID

Academic Excellence πŸŽ“πŸ“Š

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. πŸ…πŸ”¬βœ¨

Awards and Competitions πŸ†πŸ“š

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). πŸ…πŸ”’βœ¨

Academic Engagement πŸŽ“πŸ’Ό

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. πŸ§ πŸ”¬πŸ“Š

Research Focusβš‘πŸ”¬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. πŸ§ πŸ“Šβš‘

 

Mr Hani Mohamed Hamed | Materials Characterization Techniques | Best Researcher Award

Mr Hani Mohamed Hamed | Materials Characterization Techniques | Best Researcher Award

Mr Hani Mohamed Hamed, Nuclear Materials Authority, Egypt

Mr. Hani Mohamed Hamed Tawfik Mohamed is a dedicated researcher in nuclear and environmental chemistry, holding a B.Sc. in Chemistry and Biochemistry, a Master’s in corrosion of nuclear fuel cladding materials, and pursuing a Ph.D. on rare earth elements and radioactive materials from monazite sand. With impactful publications in journals like Journal of Nuclear Materials, his expertise spans neutron activation analysis, zirconium corrosion, and electrochemical studies. He works as a chemist at Egypt’s Nuclear Materials Authority, contributing to critical national projects. His research interests include nuclear fuel cycle management and environmental protection. πŸŒπŸ”¬πŸ“š

Publication Profile

Scopus

Educational Background πŸŽ“

Mr. Hani Mohamed Hamed is a Ph.D. student in Inorganic Chemistry at Zagazig University, Egypt, since March 11, 2020. His research focuses on the characterization of Monazite sand using Neutron Activation Analysis, estimating neutron self-shielding, and recovering rare earth elements, thorium, uranium, and phosphorus. He has completed pre-doctorate courses during the summer of 2020 and fall 2021. Hamed holds a Master of Science degree in Inorganic Chemistry from Zagazig University (2014), where his thesis focused on the effect of water chemistry on the corrosion of nuclear fuel cladding materials. He also earned his Bachelor of Science degree in Chemistry-Biochemistry from Ain Shams University in 2007. πŸŽ“πŸ”¬πŸ“š

Skills and coursesπŸ“Š

Mr. Hani Mohamed Hamed has developed a strong skill set through various courses and certifications. He achieved an IELTS score of 6 out of 9 in 2019 and 2017, and completed the TOEFL iBT with a score of 65 and TOEFL pBT with 496. Hamed also participated in key workshops at Zagazig University, including “Scientific Writing and Reference Management,” “International Database, References Management and Plagiarism Avoidance,” and “International Publication of Scientific Research” in 2019. Additionally, he completed the Graduate Record Examinations, scoring 146 in Quantitative Reasoning and 134 in Verbal Reasoning. His technical expertise includes SPSS, Chemical Industry Technology, and ICDL certifications. πŸ“šπŸŽ“πŸ“Š

Professional ExperienceπŸ’Ό

Mr. Hani Mohamed Hamed has extensive work experience in various fields. Since March 31, 2015, he has been working as a Chemist at the Nuclear Materials Authority in Egypt. Prior to this, he served as a Medical Representative at Egyphar Pharmaceutical Company from January 2011 to December 2016. Hamed also taught Science and Chemistry at El-Fouad International Language Schools and a charity during the 2010-2011 academic year. Additionally, he worked as a Pharmacist Assistant at El-Saad El-Kubra Pharmacy from July 2007 to August 2010, gaining valuable experience in the pharmaceutical field. πŸ’ΌπŸ”¬πŸ“š

Research Focus Area 🌱🧬

Mr. Hani Mohamed Hamed’s research focuses on several critical areas within nuclear chemistry and materials science. His expertise includes the nuclear fuel cycle and waste management, particularly the chemistry and separation of actinides and lanthanides, spent nuclear fuel reprocessing, and radioactive waste management. He also explores separation techniques, nuclear chemistry, radiochemistry, and environmental chemistry. Additionally, his work extends to materials science and engineering, nanoscience, and nanotechnology. A key focus of his research is the corrosion of zirconium alloys (Zircaloys) in reactor environments, crucial for nuclear fuel performance and safety. βš›οΈπŸ”¬πŸ§ͺπŸ› οΈ

publication Top NotesπŸ“šπŸ”

The impact of elevated lithium concentration 3.5 ppm on the corrosion rate of zirconium

Electrochemical corrosion of Zircaloy-2 under PWR water chemistry but at room temperature

Conclusion

Mr. Hani Mohamed Hamed’s robust academic background, impactful research contributions, and global collaborations make him a suitable and deserving candidate for the Best Researcher Award. His work addresses critical challenges in energy sustainability and materials science, reflecting excellence and innovation in his field.

Dr Jiageng Guo | Microstructure and Properties | Best Researcher Award

Dr Jiageng Guo | Microstructure and Properties | Best Researcher Award

Dr Jiageng Guo, Guangxi university of Chinese Medicine, China

Dr. Jiageng Guo is a distinguished researcher at Guangxi University of Traditional Chinese Medicine, specializing in pharmacology and cancer research. He has made significant contributions to liver cancer therapy, focusing on natural compounds like cinnamaldehyde and cinnamic acid. His work spans cutting-edge areas, including network pharmacology, bioinformatics, and both in vitro and in vivo experimental techniques. With high-impact publications in journals like Frontiers in Pharmacology, Dr. Guo integrates Traditional Chinese Medicine with modern pharmacology. His interdisciplinary approach offers innovative solutions for cancer therapy and drug discovery. πŸŒΏπŸ”¬πŸ§¬πŸ’‘πŸ“š

Publication Profile

Scopus

Skills

Guo Jiageng is highly skilled in network pharmacology and bioinformatics analysis, essential for understanding complex biological systems and drug interactions. He is proficient in various in vitro cell experimental techniques, including flow cytometry, cell proliferation, apoptosis, migration, invasion, and cell cycle analysis 🧬. Additionally, he has hands-on experience with in vivo experimental models, such as constructing zebrafish PDX models, performing zebrafish seahorse detection 🐟, and establishing mouse tumor-bearing models 🐭. These techniques are critical for advancing research in pharmacology and cancer therapy.

EducationπŸŽ“

Dr. Guo is a distinguished academic at Guangxi University of Traditional Chinese Medicine, where he combines the rich heritage of traditional Chinese medicine with modern scientific research methodologies. His diverse academic background allows him to integrate a wide range of scientific knowledge, especially in the fields of pharmacology and holistic healing. With expertise in both traditional practices and contemporary research, Dr. Guo is well-positioned to explore and advance the understanding of Chinese medicine in the modern scientific landscape. His work bridges the gap between ancient wisdom and cutting-edge medical innovations. πŸŒΏπŸ“šπŸ’‘

Experience

From September 2022 to September 2024, Guo Jiageng dedicated his efforts to research on the therapeutic mechanisms of cinnamaldehyde and cinnamic acid in liver cancer treatment. His work explored crucial energy metabolism pathways and the EGFR pathway, aiming to uncover their potential in combating cancer cells 🧬. Through these studies, he contributed valuable insights into the molecular processes involved in liver cancer therapy, paving the way for novel treatments and therapeutic strategies πŸƒ.

Research Focus Area 🌱🧬

Dr. Jiageng Guo’s research primarily focuses on Traditional Chinese Medicine (TCM), pharmacology, and its applications in health restoration. His work includes investigating natural compounds like cinnamaldehyde 🌿 and Cinnamomi Cortex πŸƒ for therapeutic effects, particularly in skin barrier restoration and cancer treatment. Dr. Guo explores the molecular mechanisms underlying these herbal treatments, such as the role of GSK-3Ξ² in liver cancer through the PI3K/AKT pathway βš–οΈ. His research bridges traditional herbal medicine with modern biomedical advancements 🩺, highlighting the potential of TCM in improving skin health and combating diseases.

Publication Top NotesπŸ“„βœ¨

Insights from Traditional Chinese Medicine for Restoring Skin Barrier Functions

Visual analysis of knowledge graph for research progress on medicinal and edible traditional Chinese medicine Cinnamomi Cortex based on VOSviewer and CiteSpace

Evaluation of the effect of GSK-3Ξ² on liver cancer based on the PI3K/AKT pathway

Advances in pharmacological effects and mechanism of action of cinnamaldehyde

ConclusionπŸ”

Dr. Jiageng Guo is undoubtedly a suitable candidate for the Best Researcher Award, given his extensive research background, significant publications in top journals, mastery of diverse experimental techniques, and his impactful contributions to both modern cancer research and traditional medicine. His work is poised to make meaningful advancements in therapeutic development, particularly for liver cancer, and his multi-disciplinary approach offers considerable promise for future breakthroughs.