Shiqun Wu | Renewable Energy Technologies | Best Researcher Award

Shiqun Wu | Renewable Energy Technologies | Best Researcher Award

Assoc. Prof. Dr Shiqun Wu, East China University of Science and Technology, China

Assoc. Prof. Dr. Shiqun Wu is a rising star in the field of photocatalysis and molecular activation. He earned his B.Sc. and Ph.D. in Applied Chemistry from East China University of Science and Technology (ECUST), where he is currently serving as an Associate Professor at the School of Chemistry and Molecular Engineering. With over 20 SCI-indexed publications and 10+ patents, Dr. Wu is known for his pioneering work in atomic-level catalyst design aimed at addressing energy and environmental challenges. His contributions focus on the green transformation of CH₄, CO₂, and N₂ in alignment with China’s “carbon peaking and neutrality” strategy. Recognized with multiple prestigious awards, including Shanghai’s “Rising Star” Talent Program and national innovation grants, Dr. Wu also actively mentors young scientists. His innovative approach and sustained research excellence make him a deserving candidate for the Best Researcher Award.

Publication Profile

Google Scholar

Education

Dr. Shiqun Wu began his academic journey with a B.Sc. in Applied Chemistry at the East China University of Science and Technology (ECUST) from 2012 to 2016. Demonstrating academic excellence and research potential, he pursued a Ph.D. at ECUST (2016–2021), under the mentorship of Prof. Jinlong Zhang, a foreign academician of the European Academy of Sciences. During his doctoral studies, Dr. Wu developed advanced photocatalytic materials and published in top-tier journals such as JACS and Angew. Chem. His doctoral thesis laid the groundwork for molecular transformation through atomic-level engineering, particularly for carbon-neutral strategies. After completing his Ph.D., he continued as a postdoctoral fellow at ECUST (2021–2024), further advancing his specialization in photocatalytic activation of small molecules. Dr. Wu’s academic training emphasizes high-impact research and innovation, positioning him as a leading scholar and educator in applied chemistry and environmental catalysis.

Experience

Dr. Wu has built an impressive academic career at East China University of Science and Technology (ECUST), where he has progressed from student to Associate Professor. From 2021 to 2024, he served as a Postdoctoral Fellow, collaborating with Prof. Jinlong Zhang on projects involving atomic-level catalyst design and molecular transformation. In June 2024, he was appointed as an Associate Professor at the School of Chemistry and Molecular Engineering at ECUST. His current academic responsibilities include leading national research projects, mentoring graduate students, and contributing to the development of photocatalysis as a transformative solution for energy and environmental sustainability. His academic service includes roles in national youth scientific committees and editorial boards. Dr. Wu’s experience bridges cutting-edge research and practical implementation, demonstrating leadership in China’s national “dual-carbon” strategy and contributing to sustainable innovation through interdisciplinary collaboration.

Research Projects

Assoc. Prof. Dr. Shiqun Wu has garnered significant recognition and support for his outstanding research contributions through a series of prestigious grants and fellowships 💼💡. He is currently a recipient of the First-Class Discipline Construction Grant from ECUST, valued at 250,000 CNY, supporting his ongoing research initiatives 🧪📘. Additionally, he is funded by the National Natural Science Foundation of China (NSFC) – Young Scientists Fund with 300,000 CNY, and is part of the Shanghai “Rising Star” Talent Program (Sailing Plan) with 200,000 CNY 🏅🚀. His earlier achievements include the highly competitive Postdoctoral Innovative Talent Support Program, for which he was awarded 630,000 CNY, and the Shanghai “Super Postdoc” Incentive Program, receiving 300,000 CNY 💰🎓. Furthermore, he successfully completed the China Postdoctoral Science Foundation (Tier 1) grant, amounting to 120,000 CNY 📜🔬. These accolades reflect his dynamic potential and commitment to advancing chemical research in China and beyond 🌍🔍.

Awards and Honors

Dr. Shiqun Wu has received numerous prestigious awards that reflect his excellence and innovation in research. These include the Gold Award (Shanghai Region, 2024) and Bronze Award (National Final, 2023) in the China International University Student Innovation Competition, where he served as first advisor. He also won the Gold Award at the 9th China “Internet+” Innovation and Entrepreneurship Competition (Shanghai, 2023). As a postdoctoral researcher, he was honored with the Shanghai “Super Postdoc” Incentive, Postdoctoral Innovative Talent Support Program, and China Postdoctoral Science Foundation (Tier 1). Notably, he was selected as an Outstanding Graduate of Shanghai (2021) and received the National Graduate Scholarship (2019) and ACS Graduate Research Achievement Prize (Third Prize, 2019). His recognitions demonstrate a consistent track record of academic leadership, mentorship, and innovative research in energy conversion and carbon neutrality.

Research Focus

Dr. Wu’s research centers on the design and mechanism-driven control of photocatalytic materials for energy conversion and environmental remediation. His work particularly targets the green transformation of inert molecules such as methane (CH₄), carbon dioxide (CO₂), and nitrogen (N₂)—key to achieving carbon neutrality and energy sustainability. He engineers catalysts at the atomic level, optimizing surface active sites and promoting selective molecule activation under solar irradiation. Dr. Wu’s approach integrates nanotechnology, material science, and physical chemistry, supported by his deep understanding of spin polarization, molecular orbital engineering, and reaction kinetics. With over 20 SCI publications in journals like JACS, Angew. Chem., Adv. Mater., and Chem, his work contributes significantly to catalytic innovations that reduce greenhouse gases and enhance renewable energy utilization. He also leads national and regional grants and participates in the development of China’s energy strategy through fundamental and application-oriented research.

Publication Top Notes

Ga-Doped and Pt-Loaded Porous TiO2–SiO2 for Photocatalytic Nonoxidative Coupling of Methane

Non‐oxidative Coupling of Methane: N‐type Doping of Niobium Single Atoms in TiO2–SiO2 Induces Electron Localization

Single-Atom High-Valent Fe(IV) for Promoted Photocatalytic Nitrogen Hydrogenation on Porous TiO2-SiO2

Construction of Single Ni Atom-Immobilized ZIF-8 with Ordered Hierarchical Pore Structures for Selective CO2 Photoreduction

Recent advances in photo-enhanced dry reforming of methane: A review

Noble‐Metal‐Free Materials for Surface‐Enhanced Raman Spectroscopy Detection

High-density frustrated Lewis pairs based on Lamellar Nb2O5 for photocatalytic non-oxidative methane coupling

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

MADHIARASAN M | Renewable Energy Technologies | Best Researcher Award

Dr MADHIARASAN M, French Institute of Pondicherry, India

Publication profile

google scholar

EDUCATIONAL PROFILE

Dr. Madhiarasan M holds an impressive educational background in electrical engineering. He earned his Ph.D. in Electrical Engineering from Anna University, Chennai (2018). He completed his M.E. in Electrical Drives and Embedded Control with a CGPA of 8.403 (2013) and a B.E. in Electrical and Electronics Engineering from Anna University (2010). His recent postdoctoral fellowships include roles at the Transilvania University of Brașov (2022-2023) and IIT Roorkee (2020-2022). These credentials position him as a scholar with robust expertise in both engineering theory and practical applications.

FIELD OF INTEREST & ACADEMIC PROJECTS

Dr. Madhiarasan’s research interests span SCADA-based supervisory control, robotics for power transmission line inspection, and hybrid neural network models for renewable energy forecasting. His UG and PG projects focused on control systems and robotics, while his Ph.D. tackled neural network applications in energy forecasting. His research aligns with global energy sustainability initiatives, showcasing his commitment to solving pressing electrical engineering challenges.

EXPERIENCE

He has accumulated extensive academic and research experience, starting as a lecturer in 2010. He has taught at various institutions, including the Madras Institute of Technology and Anna University. As an assistant professor at the Bharat Institute of Engineering and Technology (2018-2020), and later as a research fellow, his contributions to academia are significant. His current role at the French Institute of Pondicherry further extends his research prowess.

AWARDS

Among his accolades, Dr. Madhiarasan received the UGC Fellowship and Transilvania Fellowship for young researchers. In 2023, he was honored with the Best Researcher Award at the 10th Global Research Awards on Artificial Intelligence and Robotics. His accolades highlight his excellence in research, particularly in AI and renewable energy applications.

PROJECT GUIDANCE

His project supervision includes the development of IoT-based systems, including energy monitoring and robotics for military use. His work has practical applications, particularly in power transmission monitoring and control, emphasizing his capability to guide impactful projects in the field of electrical and computer engineering.

WORKSHOPS/SEMINARS/CONFERENCE ORGANIZATION

Dr. Madhiarasan has organized key academic events, such as the World Entrepreneurs’ Day TECHFEST 2023 and national workshops on research writing. He also co-coordinated AICTE-sponsored faculty development programs on artificial intelligence at IIT Roorkee. His leadership in academic forums demonstrates his active engagement in sharing knowledge with the broader research community.

EDITOR & REVIEWER

He has contributed as an editor for various international journals and special issues, including those on renewable energy and embedded technologies. His editorial work in prestigious journals like Sensors (MDPI) reflects his strong academic standing in the field of electrical engineering and renewable energy research.

CO-CURRICULAR CERTIFICATIONS

Dr. Madhiarasan has completed numerous certifications related to wind and solar energy, electronics, and design thinking, which reflect his commitment to continuous learning. These certifications from top global universities via Coursera strengthen his expertise in energy systems and innovation.

ACHIEVEMENTS

Throughout his career, Dr. Madhiarasan has excelled in academics, including ranking second in his M.E. program. His extracurricular achievements include awards in oratory competitions and television appearances. His participation in national seminars and debates further demonstrates his well-rounded profile as a scholar and communicator.

RESEARCH FOCUS

M. Madhiarasan’s research primarily focuses on applying artificial neural networks (ANNs) and machine learning techniques to wind speed forecasting. His work includes developing methods to optimize neural network architectures, such as selecting the appropriate number of hidden neurons for improved prediction accuracy. He has explored various ANN models, including backpropagation, radial basis function, and spiking neural networks, enhancing their performance with optimization algorithms like Grey Wolf Optimization. Additionally, his studies cover different forecast horizons, long-term predictions, and comparative analyses of network architectures for wind energy applications. 🌬️🌐🤖📊

CONCLUSION

Dr. Madhiarasan M is highly suitable for the Best Researcher Award. With his comprehensive educational background, extensive research experience, and significant contributions to the field of electrical engineering and renewable energy, he stands out as a leader in academic and industrial collaborations. His awards, editorial roles, and leadership in organizing academic events further support his candidacy for this prestigious honor.

PUBLICATION TOP NOTES

Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting

A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting

Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network

Analysis of artificial neural network: architecture, types, and forecasting applications

Long-Term Wind Speed Forecasting using Spiking Neural Network Optimized by Improved Modified Grey Wolf Optimization Algorithm

A comprehensive review of sign language recognition: Different types, modalities, and datasets

ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting

New criteria for estimating the hidden layer neuron numbers for recursive radial basis function networks and its application in wind speed forecasting

Performance investigation of six artificial neural networks for different time scale wind speed forecasting in three wind farms of coimbatore region

Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications

A Novel Method to Select Hidden Neurons in ELMAN Neural Network for Wind Speed Prediction Application