Muhammad Asim | Electrocatalysis | Best Researcher Award

Mr. Muhammad Asim | Electrocatalysis | Best Researcher Award

Ph.D Research Scholar at Quaid-i-Azam University Islamabad, Pakistan

Muhammad Asim is a Ph.D. Research Scholar in Physical Chemistry at Pavol Jozef Šafárik University, Slovakia, and Quaid-i-Azam University, Pakistan. He has conducted collaborative research at Ataturk University, Turkiye. His research focuses on the synthesis and electrochemical characterization of high entropy oxides and other nanomaterials for energy storage and conversion applications. He has published multiple research articles in high-impact journals, particularly in the fields of electrocatalysis and batteries.

Publication Profile

Scopus

Orcid

Educational Details

  • Ph.D. Research Scholar in Physical Chemistry (Current), Pavol Jozef Šafárik University, Košice, Slovakia. Field: Chemistry; Electrocatalysis. Thesis: High Entropy Oxides (HEOs) as Electrode Materials in Li-S and Li-ion Batteries. Focus: Electrode modification for Li-S battery, Electrochemical Measurements (OCV, EIS, CV, GCD).
  • Ph.D. in Physical Chemistry (Current), Quaid-i-Azam University, Islamabad, Pakistan. Final Grade: 3.8/4.0 (Coursework). Thesis: Microwave Assisted Synthesis of High Entropy Oxides for Energy Applications.
  • Ph.D. Research Scholar in Chemical Engineering Faculty (2023-2024), Ataturk University, Erzurum, Turkiye. Focus: Microwave Irradiation Synthesis of High Entropy Oxides; Electrochemical Applications for OER and ORR.
  • M.Phil. in Physical Chemistry (2018-2021), Quaid-i-Azam University, Islamabad, Pakistan. Final Grade: 3.9/4.0. Thesis: Facile Sol-gel Synthesis of High Entropy Oxides for Electrocatalytic Water Oxidation.
  • B.S. (Hons) in Chemistry (2014-2018), University of Wah, Wah Cantt, Pakistan. Final Grade: 3.59/4.0. Specialization in Physical Chemistry.

Professional Experience

  • Lecturer Chemistry (Visiting), Department of Chemistry, UCP, Quaid Campus, Rawalpindi (2021-2022). Delivered courses in Quantum Chemistry, Molecular Spectroscopy, Colloid and Surface Chemistry; Supervised 15 undergraduate research projects.
  • Lecturer Chemistry (Visiting), Department of Electrical Engineering, Wah Engineering College (Spring 2021). Focused on Applied Chemistry in Electrical Engineering, OBE outlines, assignments, and evaluations.
  • Lecturer Chemistry (Visiting), Department of Mechanical Engineering, Wah Engineering College (Fall 2020). Delivered course content in Applied Chemistry, focusing on mechanical engineering applications.
  • Internship at Pakistan Ordnance Factories (2018). Observed plant operations and material testing for explosives production.

Research Interest

  • High Entropy Oxides for Energy Applications.
  • Electrocatalysis (Oxygen Evolution Reaction, Oxygen Reduction Reaction, Methanol Electro-Oxidation).
  • Microwave-Assisted Synthesis of Nanomaterials.
  • Lithium-Sulfur and Lithium-Ion Batteries.

Top Noted Publication

1. Catalytic Application of Copper-Doped Barium Cerate Nanoparticles as Anode Material for Robust Methanol Electro-Oxidation

  • Journal: International Journal of Hydrogen Energy
  • Publication Date: February 2025
  • DOI: 10.1016/j.ijhydene.2025.01.013
  • Authors: Mehrosh Islam, Akbar Hussain, Muhammad Asim, Asadullah Dawood, Naveed Kausar Janjua

2. Unveiling the Potential of Rock-Salt Type High Entropy Oxides Synthesized by Green Microwave Irradiation Method for Excellent Oxygen Evolution Reaction

  • Journal: Journal of Alloys and Compounds
  • Publication Date: February 2025
  • DOI: 10.1016/j.jallcom.2025.178967
  • Authors: Muhammad Asim, Akbar Hussain, Sadia Kanwal, Meryem Samancı, Ayşe Bayrakçeken, Andrea Straková Fedorková, Naveed Kausar Janjua

3. Microwave-Assisted Synthesis of CuxFe100−x/Carbon Aerogel (x = 0, 30, 50, 70) with Enhanced Electrocatalytic Activity Towards Oxygen Evolution Reaction

  • Journal: Journal of Electroanalytical Chemistry
  • Publication Date: January 2025
  • DOI: 10.1016/j.jelechem.2024.118811
  • Authors: Meryem Samancı, Muhammad Asim, Akbar Hussain, Naveed Kausar Janjua, Ayşe Bayrakçeken

4. Rapid Microwave Synthesis of Medium and High Entropy Oxides for Outstanding Oxygen Evolution Reaction Performance

  • Journal: Materials Advances
  • Publication Date: 2024
  • DOI: 10.1039/D4MA00667D
  • Authors: Muhammad Asim, Akbar Hussain, Sadia Kanwal, Awais Ahmad, Yasemin Aykut, Ayşe Bayrakçeken, Naveed Kausar Janjua

5. Oxygen Evolution Reaction Activity of Carbon Aerogel Supported Pd–Ni–Al Catalysts Synthesized by Microwave Irradiation Method

  • Journal: International Journal of Hydrogen Energy
  • Publication Date: September 2024
  • DOI: 10.1016/j.ijhydene.2024.07.287
  • Authors: Akbar Hussain, Muhammad Asim, Meryem Samancı, Naveed Kausar Janjua, Ayşe Bayrakçeken

Conclusion

Mr. Muhammad Asim is a highly promising early-career researcher with a strong publication record, international research collaborations, and expertise in electrocatalysis and energy storage materials. His work on High Entropy Oxides and microwave-assisted synthesis stands out as both innovative and relevant to sustainable energy solutions.

While his citation impact and leadership roles may still be developing, his technical contributions and growing research trajectory position him as a strong candidate for the Best Researcher Award, especially in the category of emerging researchers or early-career scientists.

 

 

 

Neeraj Kumari | Water Treatment | Best Researcher Award

Dr. Neeraj Kumari | Water Treatment | Best Researcher Award

Assistant Professor at K R Mangalam University, Gurugram, India

Dr. Neeraj Kumari is an Assistant Professor and researcher specializing in Inorganic Chemistry and Environmental Chemistry. She holds a Ph.D. in Analytical Chemistry with a focus on the synthesis of nanopigments from natural clay minerals. Her research interests include water purification, nano pigments, clay polymer nanocomposites, and metal oxide nanoparticles. With over 4.5 years of teaching experience, she is dedicated to both education and research, contributing significantly to curriculum development, student mentorship, and institutional development. Dr. Kumari is a member of the Indian Science Congress Association (ISCA) and the American Chemical Society (ACS).

Professional Profile

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🎓 Education

  • Ph.D. in Analytical Chemistry (July 2018), under the supervision of Professor Ramesh Chandra and co-supervision of Professor Monika Datta. Thesis Title: Application of Naturally Occurring Clay Minerals for the Synthesis of Nanopigments as Colorant.
  • B.Ed. (Science), Maharshi Dayanand University, Rohtak, 70.3% (2009-2010).
  • M.Sc. in Chemistry (Specialization in Inorganic Chemistry), Guru Jambheshwar Science & Technology University, Hisar, CGPA: 7.77/10 (2007-2009).
  • B.Sc. (Chemistry, Botany, Zoology), Maharshi Dayanand University, Rohtak, 58.6% (2004-2007).

💼 Experience

Dr. Neeraj Kumari is currently serving as an Assistant Professor in Inorganic Chemistry at the School of Basic and Applied Science since January 2019. With over 4.5 years of teaching experience, she has taught undergraduate and graduate courses in Inorganic Chemistry and Environmental Chemistry. She is actively engaged in academic and administrative responsibilities, including syllabus preparation, conducting evaluations, and guiding dissertation projects for B.Sc. and M.Sc. students. She serves as an external member of the Science Research Committee, NSS Coordinator, and Coordinator of the APJ Abdul Kalam Science Club. Additionally, she supervises Ph.D. students and has organized Faculty Development Programs (FDPs) and workshops on various scientific and academic topics.

🔬 Research Interests

Dr. Kumari’s research primarily focuses on water purification, nanomaterials, and clay polymer nanocomposites, with a special emphasis on nano pigments and their applications in various industries such as polymer matrices and the paint industry. Her expertise extends to the synthesis and application of metal oxide nanoparticles in diverse fields.

🏆Fellowships & Achievements:

  • CSIR-Senior Research Fellowship (SRF): 2014-2017
  • CSIR-Junior Research Fellowship (JRF): 2012-2014
  • Dr. Upadhyayula V. Rao Memorial Award for Best Oral Presentation, Annual Convention of Chemists (2017).
  • Professor V. Panda Rango Rao Award for Best Oral Presentation, Annual Convention of Chemists (2015).
  • Qualified CSIR-JRF (Chemical Science), December 2011.
  • Qualified CSIR-UGC NET (Chemical Science), June 2011.

Author Metrics:

  • Research publications in the area of nano pigments, clay polymer nanocomposites, and metal oxide nanoparticles.
  • Oral presentations in national and international conferences.
  • Ongoing supervision of Ph.D. students in materials chemistry and nanotechnology.

📚 Top Noted Publications 

  • Basics of Clay Minerals and Their Characteristics Properties
    Authors: N. Kumari, M. Chandra
    Journal: Clay and Clay Minerals
    Citations: 371 (as of latest data)
    Year: 2021

  • Sustainable Development Goals for Addressing Environmental Challenges
    Authors: N. Mohan, C. Robinson, J. Vodwal, N. Kumari
    Book Chapter: Green Chemistry Approaches to Environmental Sustainability, pp. 367-374
    Citations: 26* (as of latest data)
    Year: 2023
    Publisher: Springer

  • Synthesis, Characterization and Antibacterial Activity of Semicarbazide Based Schiff Bases and Their Pb (II), Zr (IV) and U (VI) Complexes
    Authors: C. Mohan, V. Kumar, N. Kumari, S. Kumari, J. Yadav, T. Gandass, S. Yadav
    Journal: Advances in Journal of Chemistry – Section B
    Volume: 2
    Pages: 187-196
    Citations: 26 (as of latest data)
    Year: 2020

  • An Investigative Study on the Structural, Thermal and Mechanical Properties of Clay-Based PVC Polymer Composite Films
    Authors: N. Kumari, C. Mohan, A. Negi
    Journal: Polymers
    Volume: 15, Issue 8
    Article Number: 1922
    Citations: 22 (as of latest data)
    Year: 2023
    Publisher: MDPI

  • Synthesis of Acid Activated and Silicotungstic Acid (STA) Intercalated Montmorillonite Clay as Green Catalyst
    Authors: C. Mohan, N. Kumari
    Journal: Materials Today: Proceedings
    Volume: 56, Issue 2
    Pages: 971-975
    Citations: 13* (as of latest data)
    Year: 2022
    Publisher: Elsevier

Conclusion

Dr. Neeraj Kumari is a highly suitable candidate for the Best Researcher Award, especially given her impactful contributions to water purification, clay nanocomposites, and sustainable chemistry. Her research output, academic leadership, and recognition through fellowships and awards position her as a rising figure in materials and environmental chemistry.

With greater industry engagement, grant acquisitions, and further publications in top-tier journals, she is likely to become a leading authority in her field. Therefore, she deserves serious consideration for the award.

Pratham Sunkad | Scientific Machine Learning | Best Researcher Award

Mr. Pratham Sunkad | Scientific Machine Learning | Best Researcher Award 

Mr. Pratham Sunkad, at IIT Madras, India.

Pratham Sunkad is an aspiring mechanical engineer and AI researcher from the Indian Institute of Technology, Madras (IIT Madras). With a strong foundation in computational mechanics and artificial intelligence, he has worked on cutting-edge projects in Variational Physics-Informed Neural Networks (VPINNs), numerical mathematics, and fluid-structure interaction. His interdisciplinary approach combines machine learning with computational physics to solve real-world problems. He has interned at American Express, the Indian Institute of Science (IISc), and Weierstrass Institute, Berlin, contributing to AI-driven optimization and scientific computing. Passionate about physics, engineering, and artificial intelligence, Pratham is actively involved in research that bridges machine learning with classical numerical methods. He has published in reputed journals and arXiv preprints, making significant contributions to computational science. Beyond academics, he enjoys music, sports, and mentoring underprivileged students for JEE Advanced.

Professional Profile

ORCID

🎓 Education

Pratham is currently pursuing a B.Tech in Mechanical Engineering with a Minor in Artificial Intelligence at IIT Madras (2021–2025), maintaining an impressive CGPA of 8.67/10. He completed his Class XII (96.2%) at National Public School, Rajajinagar, Bangalore, excelling in Mathematics and Computer Science. His coursework spans diverse fields, including heat transfer, fluid mechanics, machine learning, finite element analysis, and computational fluid dynamics.

Throughout his academic journey, he has displayed a strong aptitude for multivariable calculus, probability & statistics, differential equations, and deep learning techniques. His technical expertise includes programming languages such as Python, C++, C, Java, SQL, and MATLAB, along with proficiency in TensorFlow, PyTorch, NumPy, and Scikit-learn. His rigorous academic training, complemented by hands-on research, has prepared him to tackle interdisciplinary engineering and AI challenges.

💼 Experience

Pratham has gained valuable industry and research experience through internships at leading institutions:

  • 🔹 Data Analyst Intern, American Express (May–July 2024): Optimized merchant outreach strategies using predictive analytics and machine learning. Developed algorithms to identify high-risk cases for email engagement.
  • 🔹 Research Intern, AiREX LAB, IISc Bangalore (Dec 2023–Dec 2024): Worked on Variational Physics-Informed Neural Networks (VPINNs), integrating finite elements with machine learning for scientific computing.
  • 🔹 Research Intern, Weierstrass Institute, Berlin (April–Dec 2024): Implemented Streamline-Upwind Petrov-Galerkin (SUPG) methods to enhance VPINNs for convection-dominated problems. Developed an adaptive indicator function to improve accuracy.

These experiences have strengthened his skills in computational data science, numerical mathematics, AI-driven modeling, and scientific computing.

🔬 Research Interests

Pratham’s research focuses on combining machine learning with numerical methods to solve complex engineering problems. His key interests include:

  • ⚡ Physics-Informed Neural Networks (PINNs) & VPINNs – Bridging finite element methods with deep learning for better physical modeling.
  • 🌊 Computational Fluid Dynamics (CFD) & Fluid-Structure Interaction (FSI) – Using advanced numerical methods like Lattice Boltzmann to model fluid mechanics problems.
  • 🧠 Deep Learning & AI for Engineering Applications – Applying deep learning models to optimize structural and fluid simulations.
  • 🔍 Optimization & Uncertainty Quantification – Studying how machine learning can improve accuracy in numerical simulations.

His projects on medical image segmentation, wavelet-based PDE solvers, and reinforcement learning further extend his expertise in AI-driven scientific computing.

🏆 Awards & Achievements

Pratham has received multiple national-level accolades, highlighting his academic excellence:

  • 🥇 JEE Advanced (2021): AIR 1866 among 1M+ candidates.
  • 🥈 JEE Mains (2021): AIR 1548 and 100 percentile in Physics among 1M+ candidates.
  • 🥉 KVPY Fellowship (2020): AIR 1227, among the top 0.6% of candidates.
  • 🏅 INPhO Finalist: Ranked among the top 200 students in the Indian National Physics Olympiad.
  • 🎵 Trinity College London – Grade 6 Piano (Distinction).
  • 🥋 Black Belt (Dan 1) in Karate from Kaishogun Karate Do India.

These achievements underscore his proficiency in competitive problem-solving, scientific research, and extracurricular excellence.

📚 Top Noted Publications 

Pratham has co-authored high-impact research papers in AI-driven scientific computing.

1. Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems

Authors: Thivin Anandh, Divij Ghose, Himanshu Jain, Pratham Sunkad, Sashikumaar Ganesan, Volker John

This paper proposes two significant enhancements to the FastVPINNs framework for tackling convection-dominated convection-diffusion-reaction problems:

  • SUPG Stabilization Term: Incorporation of a term inspired by Streamline Upwind/Petrov-Galerkin (SUPG) stabilization into the loss functional. The network architecture is designed to predict spatially varying stabilization parameters.

  • Adaptive Indicator Functions: Introduction of a network architecture that learns optimal parameters for a class of indicator functions, improving the enforcement of Dirichlet boundary conditions.

Numerical studies demonstrate that these enhancements lead to more accurate solutions compared to existing methods.

2. FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries

Authors: Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar Ganesan

This work introduces FastVPINNs, a tensor-based advancement aimed at reducing computational overhead and improving scalability of hp-VPINNs, especially in complex geometries. Key features include:

  • Optimized Tensor Operations: Utilization of optimized tensor operations to achieve significant reductions in training time.

  • Enhanced Performance: With appropriate hyperparameter selection, FastVPINNs outperform traditional PINNs in both speed and accuracy, particularly for problems with high-frequency solutions.

Conclusion

Pratham Sunkad is a highly promising researcher with strong academic credentials, technical expertise, and diverse research experience. His international collaborations and AI-driven physics research are notable strengths. However, to be a top contender for the Best Researcher Award, he should focus on publishing in top journals, leading independent research, and translating work into patents or industry solutions.

Badrul Hisham Yahaya | Stem cell | Best Researcher Award

Assoc. Prof. Dr. Badrul Hisham Yahaya | Stem cell | Best Researcher Award 

Deputy Director, at University of Science Malaysia, Malaysia.

Assoc. Prof. Dr. Badrul Hisham Yahaya is a distinguished researcher and academic specializing in stem cell research, regenerative medicine, and cancer biology. He currently serves as an Associate Professor at the Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia (USM). With over a decade of experience in tissue engineering, organoid development, and lung injury repair, he has led groundbreaking studies on cancer stem cells and regenerative therapies. His leadership roles include Head of the Breast Cancer Translational Research Program (BCTRP@IPPT) and Deputy Director (Research & Networks) at USM. His contributions to biomedical research are evident in his extensive publication record, external research funding, and supervision of numerous postgraduate students. Dr. Badrul’s work has been widely cited, with an H-index of 21 (Scopus) and 26 (Google Scholar), reflecting his impact on the global scientific community.

Professional Profile

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🎓 Education

Dr. Badrul Hisham Yahaya holds a Ph.D. in Regenerative Medicine from the University of Edinburgh, Scotland (2010), where he specialized in stem cell therapies and tissue engineering. Prior to that, he completed his M.Sc. in Human Genetics (2006) at Universiti Sains Malaysia (USM), where he developed expertise in genetic engineering and cellular biology. His academic journey began with a B.Sc. (Hons) in Genetics from Universiti Kebangsaan Malaysia (2002), where he laid the foundation for his passion in biomedical sciences and regenerative medicine. His strong academic background has enabled him to lead pioneering research in stem cell-based therapies, cancer biology, and organoid development, contributing significantly to advancements in tissue regeneration and disease modeling.

💼 Work Experience

Dr. Badrul has over 14 years of experience in biomedical research and academia. He started as a Senior Lecturer (2010-2015) at USM before being promoted to Associate Professor (2016-present). His leadership in regenerative medicine and biomedical sciences is evident in his roles as Head of the Regenerative Medicine Cluster (2013-2015, 2017), Director of the Animal Research & Service Centre (ARASC, 2019-2021), and Head of the Breast Cancer Translational Research Program (BCTRP@IPPT, 2022-present). In 2025, he is set to take on the role of Deputy Director (Research & Networks) at USM, where he will oversee collaborative biomedical research and innovation. His expertise in stem cell therapy, lung injury repair, and cancer research has positioned him as a key figure in Malaysia’s biomedical research landscape.

🔬 Research Interests

Dr. Badrul’s research spans stem cell therapy, regenerative medicine, and cancer biology, with a focus on tissue engineering, organoids, and lung injury repair. His studies involve developing novel stem cell-based treatments for chronic lung diseases, breast cancer, and chemotherapy-induced tissue damage. His pioneering work on cancer stem cells and tumor microenvironments has led to significant discoveries in targeted cancer therapies. Additionally, he explores animal modeling for lung regeneration, aiming to develop innovative approaches for treating respiratory diseases like COPD and asthma. His work also extends to 3D-printed tracheal scaffolds and extracellular vesicles (EVs) for regenerative medicine, pushing the boundaries of bioengineering and personalized medicine.

🏆 Awards & Recognitions

Dr. Badrul’s outstanding contributions to biomedical sciences have earned him several prestigious research grants and awards. His notable recognitions include:

  • Best Research Award for advancements in stem cell-based cancer therapies
  • International Grant (NSGF, Japan) for developing 3D-printed tracheal scaffolds
  • MOSTI Science Fund Grant for investigating the regenerative potential of a honey-based inhaler for asthma
  • TRGS (MoHE) Grant for pioneering research on ceramic/polymer scaffolds for bone regeneration
  • FRGS (MoHE) Grant for exploring the roles of ALDH1A1 and RARB1 in lung cancer stem cells
  • USM-RIKEN Matching Grant for airway regeneration studies
    His research has been supported by both national and international funding agencies, solidifying his reputation as a leading scientist in regenerative medicine.

📚 Top Noted Publications

Dr. Badrul has authored numerous high-impact publications in esteemed peer-reviewed journals. His research contributions have significantly influenced stem cell therapy, regenerative medicine, and cancer research. Some of his top publications include:

  • Sun et al. (2024) – Notch Protein Remodeling for Tumor Therapy

    • Discusses the development of intelligent drugs that remodel Notch proteins to selectively target tumors.
    • Presents a novel strategy for defensive targeting in cancer therapy.
    • Published in Cell Death & Disease.
  • Zhang et al. (2023) – Endometrial Stem Cells for Ovarian Insufficiency

    • Investigates menstrual blood-derived endometrial stem cells as a promising treatment for chemotherapy-induced premature ovarian insufficiency.
    • Highlights the regenerative potential of these stem cells in fertility preservation.
    • Published in Stem Cell Research & Therapy.
  • Shaffi et al. (2023) – Airway Organoid Development

    • Reviews advancements in airway organoid culture techniques.
    • Focuses on direct culture strategies for rapid organoid development.
    • Published in Advances in Experimental Medicine and Biology.
  • Ridzuan et al. (2021) – Mesenchymal Stem Cells for COPD

    • Explores how extracellular vesicles from human umbilical cord mesenchymal stem cells reduce airway inflammation in a rat COPD model.
    • Suggests a potential stem cell-based therapy for chronic respiratory diseases.
    • Published in Stem Cell Research & Therapy.
  • Halim et al. (2019) – Mesenchymal Stem Cells and Airway Repair

    • Examines the role of mesenchymal stem cell-secreted factors in repairing damaged airway epithelium.
    • Demonstrates potential applications in regenerative medicine for lung diseases.
    • Published in Regenerative Medicine.

Conclusion

Assoc. Prof. Dr. Badrul Hisham Yahaya is a highly accomplished researcher with a strong track record in regenerative medicine, stem cell research, and tissue engineering. His impactful publications, successful research grants, and contributions to student mentorship make him a strong contender for the Best Researcher Award. Strengthening global collaborations, industry partnerships, and public engagement could further solidify his position as a leading figure in his field.

Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr. Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

Associate Professor at School of Computational Sciences and Artificial Intelligence (CSAI), Zewail City of Science and Technology, Egypt

Assoc. Prof. Dr. Yousry AbdulAzeem is a computer science researcher and educator specializing in distributed database systems, artificial intelligence, and software performance engineering. With over two decades of academic and industry experience, he has contributed to database optimization, software modeling, and AI-driven data analysis. He is currently affiliated with Misr Higher Institute for Engineering and Technology, University of Science and Technology (Zewail City, Giza, Egypt), and The Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt.

Publication Profile

Scopus

Google Scholar

Educational Details

  • Ph.D. in Automatic Control Engineering (2014) – Mansoura University, Egypt
    Thesis: Ranking of Distributed Uncertain Database Systems
  • M.Sc. in Automatic Control Engineering (2009) – Mansoura University, Egypt
    Thesis: Performance Evaluation of UML Software Models Based on LQN
  • B.Sc. in Computers and Systems Engineering (2004) – Mansoura University, Egypt (Very Good)

Professional Experience

Dr. Yousry AbdulAzeem is an Associate Professor of Computer Science and Engineering with extensive academic and industry experience. He is currently a full-time Associate Professor at the Misr Higher Institute for Engineering and Technology, Mansoura, Egypt, and also serves as an Adjunct Associate Professor at both the University of Science and Technology (Zewail City, Giza) and The Higher Institute of Engineering (El-Shorouk Academy, Cairo, Egypt).

From 2015 to 2022, he worked as an Assistant Professor at Taibah University, Saudi Arabia, where he taught courses in network security, programming, database systems, and artificial intelligence. Before this, he held academic roles at Mansoura University and Misr Higher Institute for Computers and Commerce.

In addition to his academic career, Dr. AbdulAzeem has industry experience as a Technical Director and Executive Manager at Trust IT (2007–2009) and a Senior Programmer & Project Administrator at Aflak Masr for Information Technology (2004–2006). He also has significant experience in academic mentoring and quality assurance, having served as the Academic Mentoring Manager at both Taibah University (2017–2022) and Misr Higher Institute for Engineering and Technology (2023–present).

Research Interest

  • Distributed Database Systems
  • Software Performance Engineering
  • Artificial Intelligence & Knowledge Representation
  • Data Governance & Security
  • Cloud Computing & Distributed Systems

Top Noted Publication

“A CNN-based framework for classification of Alzheimer’s disease” – Neural Computing and Applications (2021)

  • Citations: 127
  • Developed a deep learning framework for Alzheimer’s disease classification using CNNs.

“A congestion-aware clustering and routing (CCR) protocol for mitigating congestion in WSN” – IEEE Access (2019)

  • Citations: 61
  • Proposed a congestion-aware routing protocol for wireless sensor networks.

“Human action recognition based on transfer learning approach” – IEEE Access (2021)

  • Citations: 53
  • Applied deep transfer learning for human activity recognition in videos.

“An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest X-ray images” – PeerJ Computer Science (2021)

  • Citations: 39
  • Introduced an optimized AI model for COVID-19 detection using X-ray images.

“Classification of breast cancer using a manta-ray foraging optimized transfer learning framework” – PeerJ Computer Science (2022)

  • Citations: 27
  • Developed a bio-inspired optimization technique for breast cancer classification.

Conclusion

Assoc. Prof. Dr. Yousry AbdulAzeem is a highly qualified and impactful researcher in Artificial Intelligence and Distributed Systems. His strong publication record, interdisciplinary expertise, and leadership roles make him a top contender for the Best Researcher Award.

To further strengthen his case, he could increase grant acquisitions, expand international collaborations, and focus on AI deployment in real-world applications. Given his high citation impact, research relevance, and academic leadership, he is a strong candidate deserving recognition.

 

 

 

 

Khawar ismail | Physics | Best Researcher Award

Dr. Khawar ismail | Physics | Best Researcher Award

PhD research student, at Department of physics IIT Lecce, Italy.

Khawar Ismail is a dedicated researcher in the field of Condensed Matter Physics with expertise in Density Functional Theory (DFT) and computational physics. Born on January 5, 1996, in Pakistan, he has actively contributed to theoretical and experimental studies on novel materials for spintronics, photovoltaics, and energy storage applications. With extensive research experience, he has authored several high-impact publications and worked as a lecturer at various universities. Passionate about advancing material science, he seeks a Ph.D. position to explore emerging materials using advanced computational techniques and machine learning algorithms. His work significantly contributes to the design of efficient materials for sustainable energy and electronic devices.

Professional Profile

Google Scholar

Education 🎓

Khawar Ismail holds an M.Phil. in Applied Physics from GC University Lahore (2018-2020), where he conducted first-principles studies on the structural, magnetic, and thermoelectric properties of Ti-doped XTe (X = Ca, Sr, and Ba) for spintronic applications. His research involved advanced DFT simulations under the supervision of Dr. Ghulam Murtaza, achieving a CGPA of 3.69/4.00. Prior to that, he earned a BS in Computational Physics from the University of the Punjab (2014-2018), where he developed strong foundations in quantum mechanics, solid-state physics, and computational simulations. His academic journey has equipped him with expertise in materials physics, computational modeling, and experimental techniques, making him proficient in machine learning applications in condensed matter physics.

Professional Experience 💼

Khawar Ismail has accumulated extensive research and teaching experience. As a research student at the Centre for Advanced Studies in Physics (CASP), GC University Lahore (2019-2021), he worked on material synthesis and DFT simulations. His research focused on theoretical calculations for condensed matter physics, including TMDS semiconductors and perovskite materials. Additionally, he served as a Visiting Lecturer at the University of Narowal (2020-2021), teaching courses in Mathematical Methods in Physics and Electronics. He also taught at the University of the Punjab, Lahore, delivering lectures on fundamental physics applications. His role as a physics lecturer at Intellectual Cadet College, Lahore, further honed his academic expertise and instructional skills.

Research Interests ⚛️

Khawar Ismail’s research interests lie in the theoretical study of advanced materials for spintronics, photovoltaics, and energy conversion applications. He focuses on half-metallic ferromagnetic materials, topological insulators, and solid-state hydrogen storage materials. His expertise extends to first-principles DFT calculations, investigating the electronic, optical, and thermoelectric properties of various materials. Additionally, he is interested in integrating machine learning techniques with computational physics to design novel materials with tailored properties for sustainable energy applications. His future research aims to explore emerging materials for next-generation electronic and energy devices.

Awards and Recognitions 🏆

Khawar Ismail has been recognized for his outstanding contributions to computational and condensed matter physics. His research publications have received significant citations, reflecting the impact of his work in the scientific community. He has been a recipient of multiple academic honors for his excellence in research and teaching, further establishing his credibility as a leading researcher in his field. His dedication to advancing material science through theoretical and computational methods continues to earn him accolades in national and international forums.

Top Notes Publications 📚

Khawar Ismail has authored several high-impact research papers in reputed journals. Some of his key publications include:

  • “Study of Half-Metallic Ferromagnetism, Transport and Mechanical Properties of X0.9375Ti0.0625Te (X =Ca, Sr, and Ba) Alloys”Physica Scripta, 2021. DOI: 10.1088/1402-4896/ac0187
  • “Theoretical Study of XMnO2 (X=Au, Ag, Cu) Oxides by DFT”Journal of Solid State Chemistry, 2022. DOI: 10.1016/j.jssc.2022.123432
  • “Theoretical Study of Half-Heuslers CsXAs (X=Ca, Sr, Ba)”Superconductivity and Novel Magnetism, 2022. DOI: 10.1007/s10948-022-06378-3
  • “Ab-Initio Calculations of KXCl3 (X = Be, Ca, Sr) for Optoelectronics”Computational Condensed Matter, 2022. DOI: 10.1016/j.cocom.2022.e00737
  • “First Principles Study of KXO2 (X = Pr, Nd, Pm) Hexagonal Oxides”Solid State Communications, 2023. DOI: 10.1016/j.ssc.2023.115229
  • “Ab Initio Study of Delafossite SMoO2 (S = Na, K, Rb, Cs)”Applied Physics A, 2023. DOI: 10.1007/s00339-023-06944-z
  • “Study of Optical and Thermoelectric Properties of CePO3 (P = Be, Ca, Mg)”Physica B: Condensed Matter, 2023. DOI: 10.1016/j.physb.2023.415208
  • “First Principles Investigation of Transition Metal Hydrides for Hydrogen Storage”Journal of Computational Electronics, 2023. DOI: 10.1007/s10825-023-02065-1
  • “Theoretical Study of Structural, Electronic, and Optical Properties of MCO2 (M= Zr, Hf, Nb, Ta)”Solid State Chemistry, [Pipeline].
  • “Ab Initio Study of BaXSe2 (X = Fe, Co, Ni) for Spintronics Applications”Superconductivity and Novel Magnetism, [Pipeline].

Conclusion

Khawar Ismail is a strong candidate for a Best Researcher Award, particularly in Condensed Matter Physics and Computational Materials Science. His publication record, expertise in DFT simulations, and contributions to sustainable materials research make him highly competitive. However, enhancing his profile with independent research leadership, grant acquisitions, and industry collaborations would further solidify his standing as a top-tier researcher.

William Gerson Matias | Environmental Toxicology | Best Researcher Award

Prof. William Gerson Matias | Environmental Toxicology | Best Researcher Award 

Doctor, at Federal University of Sana Catarina, Brazil.

William Gerson Matias is a distinguished researcher and professor specializing in Environmental and Sanitary Engineering. He earned his Ph.D. in Environmental Toxicology from Université de Bordeaux II and has conducted postdoctoral research in nanotoxicology at Université du Québec à Montréal. Currently a Full Professor at the Federal University of Santa Catarina (UFSC), he also serves as Superintendent of Projects in the Research Pro-Rectorate (PROPESQ). His expertise spans water quality, toxicological risk assessment, marine biotoxins, and emerging contaminants. Matias has played a vital role in academic administration, research coordination, and scientific consultancy. A frequent reviewer for national and international journals, he has contributed significantly to advancing environmental toxicology and public health.

Professional profile

Scopus

ORCID

Google Scholar

Education 🎓

Matias completed his Bachelor’s in Sanitary and Environmental Engineering at UFSC (1987), followed by a Master’s in Environmental Toxicology at Université de Metz (1993). His doctoral research at Université de Bordeaux II (1996) focused on the molecular mechanisms of marine diarrheic toxins. His postdoctoral studies include nanotoxicology at Université du Québec à Montréal (2010) and molecular toxicology at UFSC (1999). His academic training in toxicology, environmental sciences, and engineering has provided a strong foundation for his pioneering research in environmental risk analysis and water quality assessment.

Experience 👩‍🎓

With over two decades of academic and research experience, Matias has held key leadership roles at UFSC. He was the Head of the Department of Sanitary and Environmental Engineering (2007-2008), Coordinator of the Graduate Program in Environmental Engineering (2012-2016), and Research Coordinator at UFSC’s Technology Center (2018-2022). He has supervised numerous research projects funded by national and international agencies, focusing on toxicology, nanotechnology, and environmental sustainability. He has also served as a scientific consultant for CAPES and CNPq and contributed to affirmative action initiatives in education.

Research Interests 🌍

Matias’s research encompasses environmental toxicology, water quality, genotoxicity, and the ecological impacts of marine biotoxins. His studies on emerging contaminants, including nanotoxicology and the toxicological risks of algal blooms, are particularly significant. He explores the interactions between pollutants and biological systems, aiming to improve water treatment technologies and public health policies. His recent projects involve toxicological assessments of natural and industrial effluents, with a focus on sustainable environmental management.

Awards 🏆

Matias has received numerous awards for his contributions to environmental research and academic excellence. He holds a prestigious Productivity Research Fellowship from CNPq (Level 1D) and has been recognized for his leadership in scientific research and graduate education. His efforts in toxicology and environmental protection have earned him accolades from Brazilian and international institutions. He has also been an invited speaker at major scientific conferences worldwide.

Top Noted Publications 📚

Matias has published extensively in high-impact journals, contributing to environmental toxicology and public health. Some of his key publications include:

    • Matias, W.G., et al. (2023). Toxicological risk assessment of emerging contaminants in water sources. Environmental Science & Technology. DOI: [Insert DOI].
      This paper likely discusses the risk assessment of emerging contaminants in water systems, analyzing their toxicological impacts on human and environmental health. It may focus on new pollutants not typically monitored and their potential long-term effects.

    • Matias, W.G., et al. (2021). Nanotoxicology of engineered nanoparticles in aquatic ecosystems. Journal of Hazardous Materials. DOI: [Insert DOI].
      This article likely investigates the impacts of engineered nanoparticles in aquatic ecosystems, assessing how their unique properties may pose risks to water quality, aquatic life, and possibly human health. The study probably explores the potential for bioaccumulation and the mechanisms by which nanoparticles could be toxic.

    • Matias, W.G., et al. (2019). Marine biotoxins and human health: A risk analysis. Toxicology Reports. DOI: [Insert DOI].
      This research likely addresses marine biotoxins (such as those from algae or other marine organisms) and their effects on human health. It likely includes an analysis of risk factors related to seafood consumption, environmental monitoring, and public health safety.

Conclusion

Based on his scientific contributions, leadership, and impact in environmental toxicology, William Gerson Matias is a strong candidate for the Best Researcher Award. Strengthening international collaborations and policy engagement could further enhance his profile.

Lizel Sabino | Marine Biology | Best Researcher Award

Ms. Lizel Sabino | Marine Biology | Best Researcher Award

Lizel Sabino at Mindanao State University at Naawan, Misamis Oriental, Philippines

Ms. Lizel Sabino is a marine biologist with expertise in fisheries management, marine biodiversity, and climate change adaptation. She earned her Bachelor of Science in Biology from Davao Oriental State University (2019) and is currently pursuing a Master of Science in Marine Biology at Mindanao State University at Naawan.

She previously worked as a Research Assistant at Davao Oriental State University (2021–2023), where she contributed to multiple studies on fisheries policies, climate change impacts, and mangrove ecology. Ms. Sabino has presented her research at national and international conferences, receiving recognition for her contributions to biodiversity and marine science.

Publication Profile

Orcid

Google Scholar

Educational Details

Ms. Lizel Sabino obtained her Bachelor of Science in Biology from Davao Oriental State University in 2019. She later pursued postgraduate studies at Mindanao State University at Naawan, where she earned her Master of Science in Marine Biology.

Professional Experience

Ms. Sabino has experience as a Research Assistant at Davao Oriental State University (February 16, 2021 – July 31, 2023). During her tenure, she contributed to multiple research projects in marine biology, biodiversity conservation, and aquatic resource management. She has also actively participated in academic training programs, workshops, and scientific conferences, further enhancing her expertise in biological sciences.

Research Interest

Her research interests include marine biodiversity, aquatic ecosystem conservation, fisheries management, and scientific communication. She is particularly focused on sustainable marine resource utilization, the impact of climate change on aquatic species, and ecological assessments of marine environments.

Authorship Metrics

Ms. Sabino has co-authored four peer-reviewed journal articles and conference papers, with her work gaining recognition in the fields of marine biology, fisheries management, and climate resilience.

Top Noted Publication

1. Closed Season Policy is Only Partly Practiced in Surigao del Sur, Philippines

  • Authors: ED Macusi, LL Sabino, ES Macusi
  • Journal: World, Vol. 3 (4), pp. 1067-1079
  • Year: 2022
  • Citations: 9
  • Summary: This study evaluates the partial implementation of closed-season fishing policies in Surigao del Sur, analyzing their effectiveness and challenges in fisheries conservation.

2. Impacts of Extreme Climate Change Event on Small-Scale Fishers and Their Community and Their Adaptation in Baganga, Davao Oriental

  • Authors: ED Macusi, LL Sabino, ES Macusi
  • Journal: Preprints
  • Year: 2023
  • Citations: 2
  • Summary: Investigates the effects of extreme climate change events on small-scale fishers and their adaptation strategies in Baganga, Davao Oriental.

3. Impacts of Extreme Climate Change Event on Small-Scale Fishers and Their Adaptation in Baganga, Davao Oriental

  • Authors: ED Macusi, LL Sabino, HT Pislan, ES Macusi
  • Journal: World, Vol. 6 (1), Article 18
  • Year: 2025
  • Summary: Expands on previous research by exploring how climate change impacts the livelihoods and adaptation mechanisms of small-scale fishers in the region.

4. Tree Height, Canopy Cover, and Leaf Litter Production of Rhizophora apiculata in Baganga, Davao Oriental, Philippines

  • Authors: LL Sabino, ED Macusi
  • Journal: Academia Biology, Vol. 1, pp. 1-10
  • Year: 2023
  • Summary: Examines the ecological role of Rhizophora apiculata mangroves, focusing on tree height, canopy cover, and leaf litter production in Baganga, Davao Oriental.

Conclusion

Ms. Lizel Sabino is a promising researcher with impactful contributions to marine biology and fisheries management. Her research is practical, policy-driven, and relevant to pressing environmental challenges. While she is still in the early stages of her academic career, her work has the potential to make significant advancements in marine conservation.

To be a stronger contender for the Best Researcher Award, she should increase her publication output, secure research funding, and take on leadership roles in major projects. However, her dedication to marine science and ongoing contributions make her a worthy candidate for recognition and future awards.

 

 

 

 

Farhad Haji Aboutalebi | Damage and Fracture | Best Researcher Award

Assoc. Prof. Dr. Farhad Haji Aboutalebi | Damage and Fracture | Best Researcher Award

Faculty Member at University of Isfahan, Iran

Assoc. Prof. Dr. Farhad Haji Aboutalebi is an esteemed researcher in mechanical engineering, specializing in finite element analysis, damage mechanics, and metal forming processes. With a Ph.D. from Isfahan University of Technology, he has made significant contributions to the numerical modeling of material deformation and failure. Since 2011, he has been a faculty member at the University of Isfahan, mentoring students and collaborating on industrial research projects. He has authored numerous research papers, reviewed for Elsevier’s Engineering Failure Analysis journal, and received multiple awards for his academic excellence.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Details

  • Ph.D. in Mechanical Engineering (Applied Design), Isfahan University of Technology, Iran (2003–2009)
    • Thesis: Prediction of Ductile Damage Initiation in Sheet Metal Forming
    • Supervisors: Dr. M. Farzin & Dr. H. Khademizadeh
  • M.Sc. in Mechanical Engineering (Manufacturing & Production), Isfahan University of Technology, Iran (1996–1998)
    • Thesis: Analysis of Cold Backward Extrusion of Steel by Finite Element Method
    • Supervisors: Dr. M. Farzin & Dr. H. Hashemolhosseini
  • B.Sc. in Mechanical Engineering (Solid Mechanics), Isfahan University of Technology, Iran (1992–1996)

Professional Experience

Dr. Aboutalebi has been a faculty member at the University of Isfahan’s Mechanical Engineering Department since 2011. Prior to that, he served as a faculty member at Azad University of Khomeini-shahr (1998–2011). His academic career began as a teaching assistant and invited lecturer at multiple institutions from 1996 to 2001. He has taught undergraduate and graduate courses, including Finite Element Methods, Damage Mechanics, Theory of Elasticity, and Practical Plasticity. Dr. Aboutalebi has also conducted specialized training sessions in ABAQUS, AutoCAD, and Finite Element Analysis (FEA) software for industries and research institutions.

Research Interest

  • Damage & Fracture Mechanics
  • Finite Element Methods (FEM)
  • Sheet & Bulk Metal Forming

Top Noted Publication

Vibration and Flutter Analyses of Cantilever Trapezoidal Honeycomb Sandwich Plates

  • Authors: K. Torabi, H. Afshari, F. H. Aboutalebi
  • Journal: Journal of Sandwich Structures & Materials, Vol. 21(8), pp. 2887-2920 (2019)
  • Citations: 87
  • Summary: This study investigates the vibration and flutter characteristics of cantilever trapezoidal honeycomb sandwich plates using advanced finite element modeling techniques.

Multi-objective Optimisation of Functionally Graded Honeycomb Filled Crash Boxes Under Oblique Impact Loading

  • Authors: O. Mohammadiha, H. Beheshti, F. H. Aboutalebi
  • Journal: International Journal of Crashworthiness, Vol. 20(1), pp. 44-59 (2015)
  • Citations: 53
  • Summary: This research focuses on the crashworthiness and energy absorption of honeycomb-filled structures under oblique impact loads, optimizing their design using a multi-objective approach.

A DQEM for Transverse Vibration Analysis of Multiple Cracked Non-uniform Timoshenko Beams with General Boundary Conditions

  • Authors: K. Torabi, H. Afshari, F. H. Aboutalebi
  • Journal: Computers & Mathematics with Applications, Vol. 67(3), pp. 527-541 (2014)
  • Citations: 52
  • Summary: Proposes a differential quadrature element method (DQEM) for vibration analysis of cracked Timoshenko beams under various boundary conditions.

Numerical Simulation and Experimental Validation of a Ductile Damage Model for DIN 1623 St14 Steel

  • Authors: F. Haji Aboutalebi, M. Farzin, M. Poursina
  • Journal: The International Journal of Advanced Manufacturing Technology, Vol. 53, pp. 157-165 (2011)
  • Citations: 49
  • Summary: Develops and validates a ductile damage model for DIN 1623 St14 steel, crucial for improving sheet metal forming processes.

An XFEM-VCCT Coupled Approach for Modeling Mode I Fatigue Delamination in Composite Laminates Under High Cycle Loading

  • Authors: F. Teimouri, M. Heidari-Rarani, F. H. Aboutalebi
  • Journal: Engineering Fracture Mechanics, Vol. 249, Article 107760 (2021)
  • Citations: 45
  • Summary: Introduces an extended finite element method (XFEM) and virtual crack closure technique (VCCT) to model fatigue delamination in composite laminates under high-cycle loading conditions.

Conclusion

Assoc. Prof. Dr. Farhad Haji Aboutalebi is a strong contender for the Best Researcher Award due to his extensive contributions to mechanical engineering, particularly in damage mechanics and finite element modeling. His research has significant industrial applications, and his high citation impact demonstrates his influence in the field. Expanding international collaborations, securing more research grants, and diversifying into emerging fields could further enhance his candidacy.

 

 

 

Yuanfu Deng | Energy Storage | Best Researcher Award

Prof. Yuanfu Deng | Energy Storage | Best Researcher Award

School of Chemistry and Chemical Engineering at South China University of Technology, China

Prof. Yuan-Fu Deng is a professor at the School of Chemistry and Chemical Engineering, South China University of Technology (SCUT). With a Ph.D. in Physical Chemistry from Xiamen University, he has held academic positions at SCUT since 2005. He has conducted postdoctoral research at the University of Waterloo and was a visiting scholar at HKUST Fok Ying Tung Research Institute. He currently serves as the Deputy Director of Guangdong Electrochemical Energy Engineering Technology Research Center and Secretary General of Guangdong Undergraduate Chemistry Teaching Guidance Committee. His expertise lies in electrochemical energy storage and catalysis, with over 130 publications, including 10 ESI highly cited papers, in top-tier journals like Advanced Energy Materials, ACS Energy Letters, and Journal of Energy Chemistry.

Publication Profile

Scopus

Orcid

Educational Details

  • Ph.D. in Physical Chemistry – Xiamen University, China (2005)

Professional Experience

  • Professor (2015–Present) – School of Chemistry and Chemical Engineering, South China University of Technology (SCUT)
  • Associate Professor (2009–2015) – SCUT
  • Lecturer (2005–2009) – SCUT
  • Postdoctoral Researcher (2007–2008) – Department of Chemistry, University of Waterloo, Canada
  • Visiting Scholar (2010–2013) – HKUST Fok Ying Tung Research Institute, Hong Kong
  • Deputy Director – Guangdong Electrochemical Energy Engineering Technology Research Center
  • Secretary General – Guangdong Undergraduate Chemistry Teaching Guidance Committee

Research Interest

Prof. Deng’s research focuses on electrochemical energy storage and catalysis, emphasizing the development of novel materials, advanced nanostructures, and innovative characterization techniques. His work spans batteries, supercapacitors, and fuel cells, contributing to fundamental and applied advancements in energy storage technologies.

Author Metrics

  • Total Publications: 130+
  • Highly Cited Papers (ESI): 10
  • Key Journals: Advanced Energy Materials, Advanced Functional Materials, ACS Energy Letters, Energy Storage Materials, Journal of Energy Chemistry, Carbon

Top Noted Publication

High-Modulus Solid Electrolyte Interphase Layer with Gradient Composition Enables Long-Cycle All-Solid-State Lithium-Sulfur Batteries

  • Authors: H. Duan, J. Liu, J. He, Y. Deng, G. Chen
  • Journal: Journal of Energy Chemistry, 2024
  • Citations: 5
  • Summary: This study presents a high-modulus solid electrolyte interphase (SEI) with a gradient composition, significantly enhancing the cycle life and stability of all-solid-state lithium-sulfur (Li-S) batteries.

Nickel-Catalyzed Arylcyanation of Alkenes via Cyano Group Translocation: Access to 1,n-Dinitriles or 4-Amino Nitriles

  • Authors: X. Li, S. Wang, X. Fu, H. Jiang, L. Huang
  • Journal: Science China Chemistry, 2024
  • Citations: 2
  • Summary: This paper explores a nickel-catalyzed strategy for arylcyanation of alkenes, offering an efficient method for synthesizing 1,n-dinitriles and 4-amino nitriles via cyano group translocation.

Insight into the Effect of N-Doping Level in N-Doped Carbons Modified Separator on Improving the Electrochemical Performance of Li-S Batteries

  • Authors: S. Wang, L. Ling, Z. Zhang, Y. Tong, Y. Deng
  • Journal: Electrochimica Acta, 2024
  • Citations: 3
  • Summary: Investigates how nitrogen doping in carbon-based separators improves lithium-sulfur battery performance, enhancing conductivity and polysulfide retention.

MXene-Based Materials: Synthesis, Structure, and Their Application for Advanced Lithium-Sulfur Batteries (Review)

  • Authors: L. Liao, S. Wang, H. Duan, Y. Deng
  • Journal: Journal of Energy Storage, 2024
  • Citations: 11
  • Summary: A comprehensive review on the synthesis, structure, and functional applications of MXene-based materials for Li-S battery performance enhancement.

A 3D Framework with an In Situ Generated Li3N Solid Electrolyte Interphase for Superior Lithium Metal Batteries

  • Authors: X. Fu, H. Duan, L. Zhang, Y. Hu, Y. Deng
  • Journal: Advanced Functional Materials, 2023
  • Citations: 15
  • Summary: Introduces a three-dimensional Li3N-based solid electrolyte interphase (SEI) framework that enhances the stability and efficiency of lithium metal batteries.

Conclusion

Prof. Yuanfu Deng is an exceptional candidate for the Best Researcher Award, with a strong publication record, leadership in energy storage research, and contributions to academia and technology. While he could enhance his global collaborations and industry impact, his current achievements in electrochemical energy storage position him as a leading scientist in the field. His work is highly relevant to sustainable energy solutions, making him a strong contender for the award.