Xuteng Zhao | Catalysis | Best Researcher Award

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Dr. Xuteng Zhao | Catalysis | Best Researcher Award

Shanghai Jiao Tong University, China

👨‍🎓Profiles

👨‍🎓 Early Academic Pursuits

Dr. Xuteng Zhao began his academic journey with a strong foundation in materials science, earning his Bachelor’s degree in Polymer Materials and Engineering from Northeast Forestry University (2012.09–2016.06). His early exposure to polymer science laid the groundwork for his multidisciplinary approach to energy and catalysis. Motivated by a deep interest in chemical processes, he pursued a Master’s degree in Chemical Engineering and Technology at Harbin Engineering University (2016.09–2019.03), where he gained hands-on experience in process engineering and catalysis. His academic pursuits culminated in a Doctoral degree in Power Engineering and Engineering Thermophysics from Shanghai Jiao Tong University (2019.04–2022.12), marking a transition into the emerging field of electrochemical energy conversion.

👨‍🔬 Professional Endeavors

Dr. Zhao continued his association with Shanghai Jiao Tong University as a Postdoctoral Fellow (2022.12–2024.11), contributing to cutting-edge research in electrochemical catalysis and thermophysical engineering. His commitment and research excellence led to his promotion as an Associate Researcher in March 2025, where he remains active in both scientific research and academic mentorship. His current role situates him at the forefront of hydrogen production technologies, particularly focusing on alcohol–ammonia-based hydrogen evolution systems.

🔬 Contributions and Research Focus

Dr. Zhao’s research is deeply rooted in the development and optimization of electrochemical catalysis technologies for sustainable energy. His primary research focus includes alcohol-ammonia hydrogen production, a promising route for clean hydrogen generation. By integrating principles of thermophysics and catalysis, he has worked on improving the energy efficiency and catalytic performance of these systems. His work bridges materials engineering with chemical process innovation, contributing to the next generation of green hydrogen production technologies.

🌍 Impact and Influence

Through his innovative research, Dr. Zhao has significantly contributed to the global discourse on renewable energy and hydrogen economy. His studies on novel catalytic materials and ammonia-fueled hydrogen systems are expected to influence future industrial hydrogen production models. By collaborating within interdisciplinary teams at Shanghai Jiao Tong University, he supports both academic development and practical technology deployment for carbon-neutral energy solutions.

📊 Academic Citations and Recognition

Though still early in his career, Dr. Zhao’s research has begun to attract attention in scholarly circles, particularly in electrochemical and energy materials communities. His articles are cited in studies related to electrocatalysis, fuel processing, and ammonia decomposition, contributing to an expanding body of literature in sustainable energy production.

🧪 Technical Skills and Expertise

Dr. Zhao has mastered a wide array of experimental and analytical techniques essential to catalysis and thermophysical studies. These include Electrochemical Impedance Spectroscopy (EIS), Linear Sweep Voltammetry (LSV), Tafel Polarization and Reaction Kinetics, Gas Chromatography for hydrogen quantification, and material characterization techniques such as SEM, XRD, BET, and FT-IR. He is also adept at designing custom experimental systems for lab-scale hydrogen production and catalytic performance evaluation.

👨‍🏫 Teaching Experience and Mentorship

As an associate researcher, Dr. Zhao actively participates in academic mentorship at Shanghai Jiao Tong University. He has guided graduate students in experimental design, data analysis, and manuscript preparation. His teaching approach emphasizes both theoretical understanding and hands-on experimentation, fostering the next generation of researchers in energy engineering.

🧭 Legacy and Future Contributions

Looking ahead, Dr. Zhao aims to establish himself as a leading researcher in hydrogen energy and catalysis. His future research will likely delve into scalable hydrogen production techniques, advanced electrocatalyst design, and integration of renewable resources with chemical fuel synthesis. He aspires to develop systems that are not only energy-efficient but also economically viable for real-world deployment. His dedication to clean energy solutions and academic excellence positions him as a promising contributor to the global clean-tech landscape.

📖Notable Publications

Electrically Driven Gaseous Ammonia Decomposition for Hydrogen Production over SiC-Mediated Catalyst without External Heating
Authors: Xiaochao Wang, Xuteng Zhao, Guangzhao Zhou, Ting Chen, Qi Chen, Nicolas Alonso-Vante, Zhen Huang, Yiran Zhang, He Lin
Journal: ACS Catalysis
Year: 2025

The influence of phosphorus and CO poisoning on Pd/SSZ-13 with different Al distributions as passive NOx adsorbers
Authors: Yinan Wang, Jiaqi Feng, Ting Chen, Xuteng Zhao, Rijing Zhan, He Lin
Journal: Separation and Purification Technology
Year: 2024

Nonthermal-Plasma-Catalytic Ammonia Synthesis Using Fe₂O₃/CeO₂ Mechanically Mixed with Al₂O₃: Insights into the Promoting Effect of Plasma Discharge Enhancement on the Role of Catalysts
Authors: Guangzhao Zhou, Ziyu Wang, Xiaochao Wang, Yiran Zhang, Xuteng Zhao, Qi Chen, Ting Chen, Zhen Huang, He Lin
Journal: ACS Sustainable Chemistry & Engineering
Year: 2024

The interaction between Pd/CeO₂ crystal surface and electric field: Application to complete oxidation of methane
Authors: Xuteng Zhao, Yinan Wang, Zuwei Zheng, Xuehong Chen, Ting Chen, He Lin
Journal: Separation and Purification Technology
Year: 2024

Enhancing the NOx storage and hydrothermal stability of Pd/SSZ-13 passive NOx adsorbers by regulating the Al distributions
Authors: Yinan Wang, Xuteng Zhao, Ting Chen, Zuwei Zheng, Rijing Zhan, He Lin
Journal: Fuel
Year: 2024

Tianjie Qiu | Electrochemistry | Best Researcher Award

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Dr. Tianjie Qiu | Electrochemistry | Best Researcher Award

Peking University, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Tianjie Qiu began his academic journey at Nankai University, where he pursued a Bachelor’s degree in Chemistry of Materials (2013-2017). During his undergraduate studies, he developed a strong foundation in materials science and chemistry, setting the stage for his research in advanced materials. Recognized for his academic excellence, he continued his studies at Peking University, one of China’s premier institutions. From 2017 to 2022, he completed his Ph.D. in Materials Science and Engineering, securing the top rank in his class in annual comprehensive quality evaluations. His early education laid the groundwork for his significant contributions to electrocatalysis and energy materials.

🏆 Professional Endeavors

Dr. Qiu has been an active researcher in the field of materials science and electrochemistry since 2017. His expertise spans multiple areas, including the design of ruthenium-based nanocatalysts, heterostructure engineering, and electrochemical energy storage. His work focuses on developing hierarchically porous materials and MOF-derived catalysts for various applications, such as water electrolysis and potassium-ion batteries. Through innovative material synthesis and characterization techniques, he has pioneered multiple breakthroughs in electrocatalysis and energy storage.

🔬 Contributions and Research Focus

Dr. Qiu’s research primarily focuses on the rational design of nanocomposites for electrochemical applications, contributing significantly to the fields of energy conversion and storage. One of his notable achievements includes the development of hierarchically porous ruthenium-carbon nanocatalysts through a bimetallic MOF-derived method, which enhances hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) performance by employing precise pore-formation strategies. Additionally, he optimized the heterostructure of Ru@RuOx to improve alkaline HER activity. His work on boron/nitrogen codoped carbon nanotubes for water electrolysis led to a universal method for synthesizing RuM (M = Ir, Co, Fe, Pt, Ag) nanoalloys while systematically analyzing the structure-performance relationship of these electrocatalysts. Furthermore, in the field of potassium-ion batteries, Dr. Qiu designed superstructured nitrogen-doped microporous carbon nanorods derived from MOFs and investigated the potassium-ion adsorption mechanism using first-principles calculations. His development of multi-element doped carbon superstructures has further enhanced potassium-ion storage performance. Through these innovations, Dr. Qiu has paved the way for next-generation catalysts and battery materials, advancing electrochemical energy technologies.

📊 Impact and Influence

Dr. Qiu’s work has gained widespread recognition in the scientific community: 26 SCI-indexed publications, h-index: 17, Total Citations: 2,390, 3 ESI Highly Cited Papers, 1 Invention Patent, 2 Co-authored Books. These achievements reflect the depth and influence of his research in the fields of electrocatalysis, energy storage, and materials science. His work has been referenced extensively, contributing to the development of high-performance catalysts and battery technologies.

🛠️ Technical Skills

Dr. Qiu possesses a diverse skill set in materials synthesis, characterization, and electrochemical analysis:

  • Nanomaterials Design: MOF-derived synthesis, porous structure engineering, heteroatom doping.
  • Electrocatalysis: Hydrogen Evolution Reaction (HER), Oxygen Evolution Reaction (OER), water electrolysis.
  • Battery Materials: Potassium-ion batteries, microporous carbon anodes, phosphorus confinement.
  • Computational Analysis: First-principles calculations, energy band analysis, adsorption studies.
  • Advanced Characterization: XRD, SEM, TEM, Raman Spectroscopy, XPS, BET surface analysis.

His expertise bridges the gap between experimental materials science and computational modeling, allowing for a deep understanding of structure-property relationships in nanomaterials.

🎓 Teaching and Mentorship

Beyond research, Dr. Qiu has been actively involved in mentoring and guiding students in materials science. As a top-ranking Ph.D. scholar, he played a crucial role in training junior researchers in advanced material synthesis and electrochemical characterization. His contributions to academia extend beyond publications, fostering a new generation of scientists in nanomaterials and sustainable energy.

🌍 Legacy and Future Contributions

Dr. Qiu’s groundbreaking work in rational catalyst design and battery materials will continue to shape the future of renewable energy and sustainable technologies. His research holds immense potential for:

  • Developing next-generation hydrogen production catalysts for clean energy.
  • Enhancing potassium-ion battery technologies as an alternative to lithium-ion storage.
  • Pushing the boundaries of nanomaterial engineering for energy applications.

With his strong publication record and innovative research, Dr. Qiu is poised to become a leading figure in materials science and energy storage, driving technological advancements in sustainable energy solutions.

📖Notable Publications

  • Metal-organic framework-derived materials for electrochemical energy applications

    • Authors: Z Liang, R Zhao, T Qiu, R Zou, Q Xu
    • Journal: EnergyChem
    • Year: 2019

  • Metal–organic framework-based materials for energy conversion and storage

    • Authors: T Qiu, Z Liang, W Guo, H Tabassum, S Gao, R Zou
    • Journal: ACS Energy Letters
    • Year: 2020

  • Covalent organic framework-based materials for energy applications

    • Authors: DG Wang, T Qiu, W Guo, Z Liang, H Tabassum, D Xia, R Zou
    • Journal: Energy & Environmental Science
    • Year: 2021

  • Highly exposed ruthenium-based electrocatalysts from bimetallic metal-organic frameworks for overall water splitting

    • Authors: T Qiu, Z Liang, W Guo, S Gao, C Qu, H Tabassum, H Zhang, B Zhu, R Zou
    • Journal: Nano Energy
    • Year: 2019

  • Pristine hollow metal–organic frameworks: design, synthesis and application

    • Authors: T Qiu, S Gao, Z Liang, DG Wang, H Tabassum, R Zhong, R Zou
    • Journal: Angewandte Chemie International Edition
    • Year: 2021

Mohamed Issa | Electrochemistry | Best Researcher Award -1744

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Assoc. Prof. Dr. Mohamed Issa | Electrochemistry | Best Researcher Award

Egypt Japan University Of Science & Technology, Egypt

👨‍🎓Profiles

🏫 Early Academic Pursuits

Dr. Mohamed Issa embarked on his academic journey with a B.Sc. in Computer Engineering from the Faculty of Engineering, Zagazig University, in 2009, earning an Excellent with Honor distinction. His passion for computer systems and engineering led him to pursue higher education, obtaining an M.Sc. in Computer Engineering in 2013 from the same institution. His research during this period laid a strong foundation for his expertise in meta-heuristics, soft computing algorithms, and artificial intelligence. He further cemented his academic credentials by earning a Ph.D. in Computer Engineering in 2019 from Zagazig University, focusing on advanced computational techniques.

🎓 Professional Endeavors

Dr. Issa's professional career reflects a steady progression through academia. His tenure at Zagazig University began in 2013 as a Teaching Assistant, where he played a crucial role in guiding students in computer engineering subjects. He later advanced to Lecturer Assistant until 2019, when he earned his Ph.D. and transitioned into a full-time Assistant Professor at the Computer and Systems Department, Faculty of Engineering, Zagazig University. In parallel, he contributed to multiple institutions, including NAHDA University and the Higher Technological Institute in Tenth of Ramadan City, as a Part-time Assistant Professor, bringing his expertise in computer science to a broader student community.

His academic growth was officially recognized in 2024 when he was promoted to Associate Professor. He currently holds dual appointments:

  • Full-time Associate Professor at Egypt-Japan University for Science and Technology (E-JUST).
  • Full-time Associate Professor at Zagazig University’s Computer and Systems Department.

These roles underline his national and international contributions to higher education and research.

🧠 Contributions and Research Focus

Dr. Issa’s research contributions span multiple disciplines, with a strong focus on artificial intelligence and computational optimization. His work includes:
✅ Soft Computing Algorithms – Developing and refining computational models for intelligent systems.
✅ Meta-heuristics & Stochastic Algorithms – Enhancing optimization techniques used in engineering and artificial intelligence.
✅ Engineering Problems Optimization – Applying AI-driven approaches to solve complex real-world engineering challenges.
✅ Artificial Intelligence & Machine Learning – Advancing AI methodologies for automation and decision-making.
✅ Computer Vision – Exploring image processing and pattern recognition techniques.
✅ Parallel Computing – Leveraging multi-core and distributed systems for computational efficiency.
✅ Bioinformatics – Implementing AI algorithms for genetic data analysis and biomedical research.

His research contributions have been widely recognized, particularly in machine learning-based optimization, AI-driven decision-making systems, and bioinformatics applications.

🌍 Impact and Influence

Dr. Issa has made a significant impact in the fields of computer science, engineering optimization, and artificial intelligence. His work has influenced research directions in multiple domains, including:
🔹 Developing enhanced meta-heuristic algorithms for complex optimization problems.
🔹 Advancing AI methodologies for industrial and healthcare applications.
🔹 Contributing to bioinformatics research, particularly in sequence alignment and computational biology.

His research has been cited extensively in top-tier scientific journals, showcasing his influence in the global research community.

📊 Academic Citations & Recognition

Dr. Issa’s work has gained considerable academic recognition, reflected in the high citation counts of his publications. His peer-reviewed research in top journals such as Expert Systems with Applications, Applied Soft Computing, and Sustainable Energy Technologies and Assessments highlights his expertise in AI and optimization. His interdisciplinary approach has fostered collaborations with researchers worldwide, further elevating his academic stature.

🔧 Technical Skills

Dr. Issa is proficient in a wide range of technical and analytical tools, including:
✔ Programming Languages: Python, C++, MATLAB, Java.
✔ Optimization Techniques: Meta-heuristics, Evolutionary Algorithms, Swarm Intelligence.
✔ AI & Machine Learning: Deep Learning, Neural Networks, Reinforcement Learning.
✔ Computational Tools: TensorFlow, OpenCV, Scikit-learn, PyTorch.
✔ Parallel Computing: GPU programming, CUDA, OpenMP.

👨‍🏫 Teaching Experience & Mentorship

With over a decade of teaching experience, Dr. Issa has guided numerous undergraduate and postgraduate students. His dynamic teaching methodology integrates theoretical concepts with practical applications, ensuring students gain hands-on experience in AI, optimization, and bioinformatics. He has also mentored students in their research projects, dissertations, and international competitions, many of whom have gone on to pursue successful careers in academia and industry.

🚀 Legacy and Future Contributions

Dr. Mohamed Issa continues to drive innovation and knowledge in artificial intelligence, bioinformatics, and optimization algorithms. His future research directions include:
🔸 Developing cutting-edge AI models for next-generation computing.
🔸 Enhancing computational efficiency through advanced parallel processing.
🔸 Bridging AI and healthcare to create predictive and diagnostic tools.
🔸 Spearheading interdisciplinary collaborations to address emerging global challenges.

Through his extensive research, teaching, and mentorship, Dr. Issa is shaping the future of AI-driven innovation and contributing to scientific advancements that impact both industry and academia.

📖Notable Publications

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Authors: M. Issa, D. Oliva, A.E. Hassanien, H. Ahmed, A. Ahmed

Journal: Expert Systems with Applications

Year: 2018

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

Authors: A.H. Elsheikh, S. Shanmugan, R. Sathyamurthy, A.K. Thakur, M. Issa, ...

Journal: Sustainable Energy Technologies and Assessments

Year: 2022

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Authors: M. Issa, A. Samn

Journal: Mathematics and Computers in Simulation

Year: 2022

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

Authors: M. Issa

Journal: Arabian Journal for Science and Engineering

Year: 2023

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

Authors: M.E. Issa, A.M. Helmi, M.A.A. Al-Qaness, A. Dahou, M. Abd Elaziz, ...

Journal: Healthcare

Year: 2022

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

Authors: M. Abd Elaziz, L. Abualigah, M. Issa, A.A. Abd El-Latif

Journal: Fuel

Year: 2023

Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm

Authors: M. Issa, M. Abd Elaziz

Journal: Applied Soft Computing

Year: 2020