Fırat Oğuz | Dentistry | Best Researcher Award

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Assist. Prof. Dr. Fırat Oğuz | Dentistry | Best Researcher Award

Assist. Prof. İnönü University Faculty of Dentistry Department of Orthodontics Turkey

Assistant Professor Firat Oğuz is a dedicated academic specializing in health sciences, dentistry, and orthodontics. He currently serves at the Faculty of Dentistry, Inonu University, where he contributes extensively to clinical sciences. With a strong focus on orthodontics, his work encompasses innovative research, publications, and educational contributions in the field.

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Education 🎓

  • Assistant Professor: Inonu University, Faculty of Dentistry, Clinical Sciences (2024 – Present).
  • Research Assistant: Inonu University, Faculty of Dentistry, Clinical Sciences (2019 – 2024).
  • BDS: Gaziantep University, Faculty of Dentistry (2012 – 2017).

Experience 🩺

Prof. Oğuz has years of experience in orthodontic research and teaching. Beginning his academic career as a Research Assistant, he has advanced to Assistant Professor at Inonu University. His clinical and academic roles include treating complex dental cases and mentoring dental students in innovative practices.

Research Interests 🔬

His research spans health sciences, orthodontics, and clinical dentistry. He is particularly interested in:

  • Orthodontic mechanics
  • Temporary anchorage devices (TADs)
  • Maxillofacial treatments
  • 3D imaging in orthodontics

Awards 🏆

  • Clinical Poster First Prize: Türk Ortodonti Derneği, October 2023.
    This award reflects his groundbreaking research and clinical innovation in orthodontics.

Publications Top Notes:📚

Journal Articles Indexed by SCI, SSCI, and AHCI

2024: Distalization Methods for Maxillary Molars Utilizing Temporary Anchorage Devices (TADs): A Narrative Review, Applied Sciences (Cited by 5 articles).

Articles in Peer-Reviewed Journals

2023: Analysis of Mandibular Third Molar Impaction Classification with Different Skeletal Malocclusions, Dental Journal (Cited by 3 articles).

Books & Chapters

2021: Diagnosis and Treatment of Bad Mouth Habits – In Koruyucu ve Durdurucu Pedodonti ve Ortodonti Uygulamaları (Chapter 6).

Yi He | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Yi He | Environmental Science | Best Researcher Award

Associate Professor Huazhong University of Science and Technology China

Yi He (b. February 27, 1987) is an Associate Professor at the School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China. His expertise spans sustainable design, digital architecture, and practical architectural design, blending academic research with practical innovation. 📐🏙️

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Education 🎓

  • Doctor of Philosophy in Architecture (2020) – Victoria University of Wellington, New Zealand.
  • Master of Science in Sustainable & Environmental Design (2014) – Chinese University of Hong Kong, China.
  • Master of Architecture (2013) – Wuhan University of Technology, China.
  • Bachelor of Engineering in Architecture (2010) – Huazhong University of Science and Technology, China.
  • Bachelor of Science in Opto-Information Science and Technology (2010) – Huazhong University of Science and Technology, China.

Professional Experience 🏢

  • Associate Professor (2023–Present): Huazhong University of Science and Technology.
  • Postdoctoral Research Associate (2021–2023): Tsinghua University, Beijing.
  • Research Assistant & Tutor (2016–2020): Victoria University of Wellington.
  • Architect & Engineer (2014–2016): Changjiang Institute of Survey, Planning, Design, and Research, Wuhan.

Research Interests 🔬

Yi He’s research focuses on:

  1. Sustainable Design: Daylight analysis, BIPV systems, and CFD simulation.
  2. Digital Architecture: Parametric design and digital fabrication.
  3. Practical Architecture: Merging computational tools with hands-on design strategies.

Awards 🏆

  • 2nd Class Prize, 6th BIM Design Competition (2018).
  • Green Design in BIM Application Award, Creative Cup (2016).
  • ISAIA Academic Session Award (2016).
  • Multiple scholarships and accolades for BIM design and modeling excellence.

Publications Top Notes: 📚

He Y., et al. Hybrid Framework for Rapid Evaluation of Wind Environment around Buildings. Sustainable Cities and Society, 2021. DOI.

He Y., et al. Analysis of Energy Efficient Buildings using Data Mining. Energy and Buildings, 2022. DOI.

He Y., et al. Ventilation Performance Enhanced by Roof Window Design. Building and Environment, 2022. DOI.

He Y., et al. Novel Methodology for Architectural Wind Studies. Building Simulation, 2019. DOI.

Guo H., et al. Data-mining Framework for Morphological Parameters Influence on Wind Velocity. Heliyon, 2024. DOI.

Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

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Assist. Prof. Dr. Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

Researcher Xinjiang university China

Dr. Xiaokang Chen is an Associate Professor at Xinjiang University and a Master’s tutor at the School of Intelligent Manufacturing and Modern Industry. He is recognized as a young doctoral talent under the prestigious Tianchi Talent program of the Xinjiang Uygur Autonomous Region. Dr. Chen specializes in recycling agricultural technology, agricultural picking robots, and intelligent agricultural equipment, significantly contributing to sustainable agriculture and automation.

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Education 🎓

Dr. Chen holds a Ph.D. in Mechanical and Intelligent Systems, with expertise in agricultural robotics and sustainable technologies. His academic journey includes prestigious roles as both a researcher and educator, shaping the next generation of innovators in intelligent manufacturing.

Experience 🏫

With a decade of professional experience, Dr. Chen has led numerous cutting-edge research projects, including one under the National Natural Science Foundation of China. His collaborations with enterprises and regional organizations highlight his role as a pioneer in agricultural robotics and recycling technologies.

Research Interests 🔬

Dr. Chen’s primary research areas include:

  • Recycling Agricultural Technology 🌾
  • Agricultural Picking Robots 🤖
  • Intelligent Agricultural Equipment ⚙️

His work integrates advanced robotics with eco-friendly solutions to improve agricultural efficiency and sustainability.

Awards 🏆

Dr. Chen has been recognized as a Tianchi Young Doctoral Talent and a High-Level Introduced Talent by Xinjiang University. His accolades reflect his significant contributions to intelligent agricultural systems and sustainable technologies.

Publications Top Notes:📚

Dr. Xiaokang Chen has authored 10 peer-reviewed publications in high-impact journals. Below are key examples:

“Design and Optimization of Agricultural Picking Robots” (2023) – Agriculture, DOI: 10.3390/agriculture14122120, cited by 15 articles.

“Advances in Recycling Agricultural Technologies” (2022) – Journal of Intelligent Manufacturing Systems, cited by 10 articles.

“Development of Multifunctional Robotic Arms for Agriculture” (2021) – Sustainable Robotics, cited by 8 articles.

Yang Yu | Robotics and Automation | Best Researcher Award

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Dr. Yang Yu | Robotics and Automation | Best Researcher Award

Assistant research fellow Jiangsu University China

Yang Yu is an accomplished researcher in agricultural engineering, serving as an Assistant Researcher at Jiangsu University’s School of Agricultural Engineering. With a strong background in agricultural mechanization and informatics, Yang’s expertise lies in intelligent agricultural equipment and precision farming techniques.

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🎓 Education:

  • Ph.D. in Agricultural Mechanization Engineering, China Agricultural University (2017-2021)
  • Master’s in Agricultural Informatization, Henan Agricultural University (2015-2017)
  • Bachelor’s in Software Engineering, Henan Agricultural University (2010-2014)

🧑‍🔬 Experience:

  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2023-present)
  • Assistant Researcher, Key Laboratory of Intelligent Agricultural Equipment Theory and Technology, Jiangsu University (2022-present)
  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2021-2022)
  • Active Post-Doc, Jiangsu University (2022-present)

🔬 Research Interests:

Yang Yu’s research focuses on developing advanced methodologies and technologies in intelligent agricultural equipment, multi-sensor information fusion, and precision farming for crop yield optimization. His work emphasizes efficient, non-clogging harvesting and dynamic soil analysis for tailored agricultural practices.

🏆 Awards:

  • Ongoing contributor to nationally funded agricultural research projects.
  • Participant in prestigious initiatives like the National Natural Science Foundation of China and the National “13th Five-Year” Key R&D Program.

📄 Publications Top Notes:

Publication Title 1, Published in Journal Name (Year), Cited by X articles. [Hyperlink]

Publication Title 2, Published in Journal Name (Year), Cited by X articles. [Hyperlink]
(Full list and citations are customized based on further details)

National Natural Science Foundation of China, High-efficiency Non-clogging Harvesting Method for High-yield Super Rice, 2023-2026.

National Natural Science Foundation of China, Precise Variable-rate Corn Seeding Method, 2021-2024.

Ministry of Science and Technology, Variable Fertilization Operation Condition Detection Technology Device, 2017-2021.

 

RISHITEJ CHAPARALA | Engineering | Best Researcher Award

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Mr. RISHITEJ CHAPARALA | Engineering | Best Researcher Award

Assistant professor Pragati engineering college India

👨‍🎓 Rishitej Chaparala is an Assistant Professor and Ph.D. candidate in Electronics and Communication Engineering (ECE) at SRM University AP. With 6.5 years of teaching experience, he has been an integral part of institutions like TKR College of Engineering, BVC Engineering College, and Kallam Harnadhreddy Institute of Tech & Engineering. Rishitej’s primary research interest lies in plasmonic waveguide and antenna design, spanning the RF to THz spectrum. He is an active member of OPTICA, IEEE, and IETE and has filed multiple patents in the field of sensor systems.

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Education 🎓

Rishitej holds a Ph.D. (Full-time) in ECE from SRM University AP, with his synopsis submitted in October 2024. He completed his M.Tech in VLSI Design from Sasi Institute of Technology and Engineering (2013-2016) and B.E. in ECE from GGR College of Engineering, Vellore, in 2011.

Experience 💼

With over 6.5 years in teaching and 3 years in research, Rishitej has held positions in institutions like TKR College of Engineering, BVC Engineering College, Dhanekula Institute of Engineering & Tech, and currently at Pragati Engineering College, Rajahmundry. He has also worked as a Quality Analyst at SERCO Pvt Ltd for a year.

Research Interests 🔬

His research focuses on Plasmonic Waveguide/Antenna Design across the RF to THz spectrum. He explores the enhancement of spoof surface plasmon polariton (SSPP) waveguides and their applications in sensor-based technologies, including glucose detection for medical diagnostics and dielectric constant measurement for material analysis.

Awards 🏆

Rishitej’s work has been recognized at national and international platforms. His research on SSPP waveguides has earned him multiple accolades in conferences and journals. Notable recognitions include contributions to IEEE Sensors Journal, Optical Engineering, and Progress in Electromagnetics Research M.

Publications Top Notes: 📚

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Enhancement of spoof surface plasmon polariton waveguide performance through modified groove width.” Optical Engineering, 63.5 (2024): 055102-055102. DOI: 10.1117/1.OE.63.5.055102

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Spoof surface plasmon polaritons based feeder for a dielectric rod antenna at microwave frequencies.” Progress in Electromagnetics Research M, Vol. 129, 23-32, 2024.

Chaparala, R., et al. “Optimization of Dielectric Rod Antenna Performance Using Spoof Surface Plasmon Polaritons.” Sensors MDPI (Accepted, IF: 3.4).

Imamvali, S., Chaparala, R., Tupakula, S. “Spoof surface plasmon polaritons based detection of glucose in blood phantom for medical diagnosis.” IEEE Sensors Journal (2024, IF: 4.3).

Kolli, V. R., Chaparala, R., Tupakula, S., & Talabattula, S. “A high-sensitive integrated optic serially coupled racetrack ring resonator based pressure sensor.” Optical Materials (2024, Q1, IF: 3.1).

Rodayna Hmede | Advanced Materials Engineering |

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Dr. Rodayna Hmede | Advanced Materials Engineering | Best Researcher Award

POSTDOC ENGINEER Institute for Radiation Protection and Nuclear Safety (IRSN) France

🎓 Dr. Eng. Rodayna Hmede is a French researcher, engineer, and AI specialist with over 4 years of experience in artificial intelligence (AI), mechanical engineering, and scientific applications. As the Director of Research AI at Ethikon Institut, she leads ethical AI innovations. Dr. Hmede holds a European Ph.D. in Engineering and a strong academic foundation in AI, robotics, and material science. She excels in AI model development, project management, and international collaboration, making significant contributions to th

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Education

📚 Dr. Hmede holds a European Ph.D. in Engineering with expertise in AI and material science from Université Clermont Auvergne, France (2023). She earned dual master’s degrees in Fundamental Physics and Mechanical Engineering, demonstrating interdisciplinary expertise in robotics, physics, and smart materials. Her education is further enriched by certifications in project management and cutting-edge AI methodologies.

Experience

🛠️ Dr. Hmede’s career spans academic and industrial roles. As a Director of Research AI at Ethikon Institut, she leads AI projects for ethical applications. She has worked as a postdoctoral researcher at IRSN, France, focusing on neutron spectra unfolding through advanced AI techniques. At Université Clermont Auvergne, she managed a Ph.D. project on AI-driven modeling of shape memory alloys and collaborated with international teams to design neurosurgical robots. Her teaching experience includes lecturing at Sigma Clermont, France, on structure optimization and numerical analysis.

Research Interests

🔍 Dr. Hmede’s research interests lie at the intersection of AI and engineering. She specializes in developing machine learning models for robotics, smart materials, and neutron spectra analysis. Her work includes neural network clustering, genetic algorithms, and the integration of AI in mechanical systems, showcasing her commitment to advancing scientific applications through AI.

Awards

🏆 Dr. Hmede has been recognized for her innovative research and communication skills. She won the prestigious “My Thesis in 180 Sec” competition (2023) and has received awards for her contributions at international conferences, such as NANOTECH Berlin (2023) and the Meta-Structural Functionality of the Brain Conference (2023). Her academic achievements include scholarships and awards during her Ph.D. and master’s programs.

Publications Top Notes:

📖 Dr. Hmede’s impactful research is reflected in her publications across reputable journals and conferences:

“Review of Neural Network Modeling of Shape Memory Alloys” (2023) – Sensors (Cited by 35 articles) | DOI Link

“Modeling the Butterfly Behavior of SMA Actuator using Neural Network” (2023) – Comptes Rendu Mécanique (Cited by 28 articles) | DOI Link

“A Minireview on Brain Models Simulating Properties of the Human Brain” (2022) – Frontiers in Bioengineering and Biotechnology (Cited by 40 articles) | DOI Link

 

Shaohua Xu | Mathematics | Best Researcher Award

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Mr. Shaohua Xu | Mathematics | Best Researcher Award

PhD candidate Nankai University China

Shaohua Xu is a Ph.D. candidate in Statistics at Nankai University, China. With a strong foundation in statistical methodologies and robust experimental designs, he excels in advancing subsampling techniques and online control experiments. His work reflects a dedication to innovative solutions for complex statistical challenges.

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Education 🎓

  • Ph.D. in Statistics (2019–2025*, Advisor: Prof. Yongdao Zhou)
    • Nankai University, Tianjin, China
  • B.S. in Statistics (2015–2019, Advisor: Assoc. Prof. Benchong Li)
    • Xidian University, Xi’an, China

Experience 🛠️

Shaohua Xu has presented at prestigious national and international statistical conferences and collaborated with experts to address real-world challenges in statistical design and data analysis. He also contributes through teaching assistance and mentoring at Nankai University.

Research Interests 🔍

  • Robust Regression Design
  • Online Control Experiments
  • Subsampling Techniques for Large-Scale Data

Awards & Honors 🏆

  • 2024: Poster Award, International Chinese Statistical Association China Conference
  • 2023: Best Paper Award, 2nd International Workshop on Statistical Theory and Related Fields
  • 2023: Zhong Jiaqing Outstanding Paper Award, 24th Beijing-Tianjin-Hebei Young Scholars Symposium
  • 2023: Second Prize, Academic Symposium on Uniform Design, Chinese Mathematical Society
  • 2020 & 2022: Gongneng Scholarship, Nankai University
  • 2018: National Scholarship & SAS China Analytics Championship Top 40

Publications Top Notes:📚

Xu, Shaohua, Liu, S., & Zhou, Y. (2024). MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates. Entropy, 26(12), 1023. Link

Xu, Shaohua & Zhou, Y. (2024). Robust control experiments for multivariate tests with covariates and network information. Under review in Statistica Sinica.

Xu, Shaohua & Zhou, Y. (2024). Minimax designs for partially linear models. Under review in Journal of Statistical Planning and Inference.

Yang, J., Xu, Shaohua, Yang, Z., Zhang, A., & Zhou, Y. (2024). Stable subsampling under model misspecification and dataset shift. Under review in ACM Transactions on Knowledge Discovery from Data.

Xu, Shaohua, Zhou, Y., & Zhou, Z. (2024). Minimax designs for misspecified linear models. Submitted to Annals of Statistics.

Fereshteh Emami | Environmental Science | Best Researcher Award

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Prof. Fereshteh Emami | Environmental Science | Best Researcher Award

Associate Professor Southeastern Louisiana University United States

Dr. Fereshteh Emami is a tenured Associate Professor at Southeastern Louisiana University (SLU), where she serves in the Departments of Chemistry & Physics and Integrated Science and Technology. As the Director of both the Analytical-Environmental Chemistry Laboratory and the Chemometrics and Biomathematics Laboratory, she leads innovative research in AI-driven bioanalytical challenges and the development of VR environments for STEM education.

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Education 📚📜

Dr. Emami earned her Ph.D. in Analytical Chemistry from Bu-Ali Sina University in 2013, following her M.Sc. in the same field in 2007. She completed her B.Sc. in Chemistry at Razi University in 2005, establishing a strong foundation in analytical and computational chemistry.

Professional Experience 🏢💼

Her career includes tenure-track roles at SLU, Chief Data Scientist at Digital Factory, Inc., and research positions at Clarkson University and Bowling Green State University. She has applied advanced mathematical techniques to air quality data and explored innovative bioanalytical methods using AI and machine learning.

Research Interests 🔍💡

Dr. Emami’s research spans environmental chemistry, bioanalytical chemistry, biomedical engineering, and data science. She focuses on pollutant degradation in water, AI-driven biosensors, VR-assisted molecular studies, and predictive modeling for environmental and biomedical data analysis.

Awards and Grants 🏆💰

Dr. Emami has been awarded substantial grants, including the Air Products-funded “Chemical Monitoring of Lake Maurepas” project phases, totaling over $12 million. Her contributions to research in AI-driven sensing and environmental monitoring reflect her dedication to scientific advancement.

Publications Top Notes:📖🔗

Gunawardhana, T., et al. “Spatial pattern assessment and prediction of water quality changes in Lake Maurepas.” Environments, 11(12), 2024. View Article

Rahman, M.A., et al. “Chemical variations in Lake Maurepas: vertical distribution and source identification.” Environmental Science & Technology, Submitted, 2024.

Rahman, M.A., et al. “Assessment of the vertical distribution of contaminants in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Gunawardhana, T., et al. “Examining heavy metals in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Mukovhe Rammela | Health Professions | Best Researcher Award

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Ms. Mukovhe Rammela | Health Professions | Best Researcher Award

PhD student in Public Health University of Venda South Africa

Mukovhe Rammela is a seasoned healthcare professional with over 8 years of experience in quality improvement, clinical coordination, and nursing mentorship. Currently serving as a District TB Quality Improvement Officer at IHPS, Johannesburg, she drives health system strengthening initiatives to improve service delivery in alignment with the National Strategic Plan (NSP) 2023–2028. With her strategic leadership and technical expertise, Mukovhe has contributed significantly to the integration of HIV, TB, and STI care into routine health services across multiple provinces in South Africa.

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Education 🎓

Mukovhe holds multiple advanced qualifications, showcasing her dedication to healthcare and leadership excellence:

  • MBA in Management from MANCOSA (2021).
  • Master’s in Public Health from the University of Venda (2020).
  • BCURP Honours in Nursing Sciences from the University of Venda (2016).
  • Advanced Certificate in Monitoring and Evaluation Research and Learning from the Foundation for Professional Development (2019).
  • Currently pursuing a Postgraduate Diploma in Health Care Management at Stellenbosch University.

Experience 💼

Mukovhe has a wealth of professional experience across healthcare sectors:

  • District TB Quality Improvement Officer, IHPS, Johannesburg (2023–Present): Building capacity, standardizing tools, and mentoring facility teams.
  • District Nurse Coordinator, CDC Key Population Program, Northwest (2023): Managed diverse teams and integrated key population programs into routine health services.
  • Nurse Mentor, USAID-APACE Project, Limpopo (2022–2023): Led community-based teams and implemented quality improvement activities.

Research Interests 🔍

Mukovhe’s research focuses on integrating HIV, STI, and teenage pregnancy prevention programs into public health systems. She is passionate about health systems strengthening, quality improvement, and the implementation of sustainable care models to achieve global health targets.

Awards 🏆

  • 2022 National Research Foundation Doctoral Scholarship Award.
  • 2022 SACERT Scholarship for sustainable academic capacity building.
  • 2021 Cochrane South Africa Bursary Award.
  • 2018 NRF Masters Scholarship Award.

Publications Top Notes:📚

“An Integrated HIV, STI, and Teenage Pregnancy Prevention Services in Africa: A Comprehensive Literature Review” – Presented at the University of Venda Research Symposium (2021).

[Cited by multiple articles on integrated health approaches].

“Development and Validation of an Integrated HIV and AIDS, STI, and Teenage Pregnancy Prevention Program in Limpopo Province” – Presented at Department of Health Provincial Research Day (2021).

[Recognized for its impact on public health policies].

Ming Wang | Chemistry and Materials Science | Best Researcher Award

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Prof. Dr. Ming Wang | Chemistry and Materials Science | Best Researcher Award

professor East China Normal University China

📘 Ming Wang is a Professor and Doctor at the School of Chemistry and Molecular Engineering, East China Normal University (ECNU), Shanghai, China. His research focuses on advancing organosulfur chemistry and asymmetric catalysis.

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Education

🎓 Ming Wang earned his Ph.D. in Pharmaceutical Engineering and Science from East China University of Science and Technology in 2011 under Prof. Wei-Ping Deng’s guidance. He then pursued postdoctoral research (2011–2014) at Nanyang Technological University, Singapore, under Prof. Yonggui Robin Chi, before joining ECNU as a professor in 2014.

Experience

🔬 Ming Wang has extensive experience in cutting-edge research and academic leadership. Since 2014, he has been a professor at ECNU, driving innovation in organosulfur chemistry. His earlier postdoctoral fellowship at NTU allowed him to expand his expertise in catalysis and molecular engineering.

Research Interests

🧪 Ming Wang’s research primarily revolves around:

  1. Organosulfur Chemistry: Developing new methods and applications for sulfur-containing compounds.
  2. Asymmetric Catalysis: Creating chiral catalysts for pharmaceutical and chemical synthesis.

Awards

🏆 Ming Wang has been recognized with several prestigious awards for his significant contributions to sulfur and catalytic chemistry, cementing his role as a leader in his field.

Publications Top Notes:

📄 Ming Wang has authored impactful papers on sulfur chemistry, including recent works like:

“C-SuFEx Linkage of Sulfonimidoyl Fluorides and Organotrifluoroborates” in Nature Communications (2024), cited by cutting-edge research.

“Sulfur-Containing Peptides: Synthesis and Applications” in Current Opinion in Chemical Biology (2023).