Fan Zhang | Computational Biophotonics Methods | Best Researcher Award

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Assoc. Prof. Dr. Fan Zhang | Computational Biophotonics Methods | Best Researcher Award 

Assoc. Prof. Dr. Fan Zhang ,Shanghai University of Engineering Science, China

Assoc. Prof. Dr. Fan Zhang is a distinguished academic and robotics researcher at the Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering Science. With over 15 years of experience in academia, his work focuses on the analysis, design, and optimization of parallel robotic mechanisms, contributing to both theoretical foundations and practical applications in intelligent automation systems.

Profile

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🎓 Early Academic Pursuits

Dr. Zhang embarked on his academic journey at the College of Mechanical Engineering, DongHua University, where he undertook a Combined Master and Doctoral Degree (2003–2008) in Robotics. His doctoral research, titled “Performance Analysis and Type Synthesis of Parallel Mechanisms”, explored critical aspects such as mobility analysis, Jacobian matrix computation, and motion-free parallel mechanism design—laying a robust theoretical groundwork in robotic kinematics and dynamics.

🧑‍🏫 Professional Endeavors

Dr. Zhang began his professional career as a Lecturer in Robotics (2009–2011) at the Shanghai University of Engineering Science, and was later promoted to Associate Professor in 2011, where he has continued to serve. His position at the Laboratory of Intelligent Control and Robotics allows him to contribute to cutting-edge developments in intelligent control systems, robotic mechanism synthesis, and automation technologies.

🔬 Contributions and Research Focus

Dr. Zhang’s core expertise lies in the limited-DOF parallel mechanism design, particularly focused on Jacobian matrix analysis, performance evaluation, and type synthesis methodologies. His research bridges mechanical engineering and robotics control, aiming to create more precise, efficient, and adaptable robotic systems. His work is critical in industrial automation, biomechanics, and intelligent manufacturing.

🌐 Impact and Influence

Though primarily based in China, Dr. Zhang’s research holds international relevance in the field of robotics kinematics. His studies on instantaneous motion-free mechanisms are particularly noteworthy for their potential to enhance robotic precision in constrained environments. As a mentor and researcher, he has influenced numerous students and early-career scholars in robotics and intelligent systems.

📚 Academic Citations and Research Output

While a detailed list of publications and citation metrics is not provided, Dr. Zhang’s long tenure and doctoral-level research suggest a substantial body of academic work. Increasing visibility through indexed journal publications, international conferences, and citations could further affirm his scholarly impact.

🛠️ Research Skills and Technical Expertise

Dr. Zhang demonstrates advanced skills in:

  • Mechanism design and analysis

  • Kinematic modeling

  • Jacobian computation and optimization

  • Robotic motion planning

  • Intelligent control systems

His technical proficiency enables him to contribute to multidisciplinary projects across engineering and automation.

👨‍🏫 Teaching Experience

With more than 15 years of teaching, Dr. Zhang has educated countless undergraduate and postgraduate students in robotics, mechanical design, and intelligent control. His pedagogical approach combines theoretical rigor with practical application, equipping students with both analytical and design-oriented skills.

🏆 Awards and Honors

While no specific awards are listed, Dr. Zhang’s long-term academic appointments and his promotion to Associate Professor reflect recognition of his academic excellence and research contributions. Inclusion in internal or national honors (e.g., Best Educator, Outstanding Researcher) would be fitting based on his profile.

🔮 Legacy and Future Contributions

Assoc. Prof. Dr. Fan Zhang is building a legacy in robotics mechanism design and intelligent control research. Looking forward, expanding into interdisciplinary domains such as AI-assisted robotics, biomechanical applications, and wearable robotics systems could further elevate his academic impact. His commitment to innovation, education, and engineering excellence positions him as a valuable leader in future robotics advancements.

Top Publications

Analysis of the Rigid Foldability of Origami Patterns Based on Spatial Positions of Creases

  • Authors: Wang, F., Zhang, F., Cui, G.

  • Journal: ASME Journal of Mechanisms and Robotics

  • Year: 2024

Kinematics and Force Transmission Analysis of a Decoupled Remote Center of Motion Mechanism Based on Intersecting Planes

  • Authors: Wu, K., Zhang, F., Cui, G., et al.

  • Journal: Journal of Mechanisms and Robotics

  • Year: 2020

Generalized Mobility and Decoupling Conditions of Closed-Loop Mechanism

  • Authors: Zhang, F., Cui, G., Zhang, D.

  • Journal: Advances in Mechanism and Machine Science (Springer, Cham)

  • Year: 2019

 Type Synthesis of N-Parallelogram-Based Surgical Arm with Remote Actuated Configuration

  • Authors: Zhang, F., Xue, Z., Hang, L., et al.

  • Journal: Mechanism and Machine Science

    • Intelligent control systems

  • Year: 2017

Design and Analysis of a Totally Decoupled 3-DOF Spherical Parallel Manipulator

  • Authors: Zhang, D., Zhang, F.

  • Journal: Robotica

  • Year: 2011

Seyed Reza Elmi Hosseini | Laser Interaction Studies | Best Faculty Award

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Assist. Prof. Dr. Seyed Reza Elmi Hosseini | Laser Interaction Studies | Best Faculty Award

Assist. Prof. Dr. Seyed Reza Elmi Hosseini,Iran University of Science and Technology,Iran

Dr. Seyed Reza Elmi Hosseini is an accomplished Assistant Professor in the School of Metallurgy and Materials Engineering at Iran University of Science and Technology (IUST). With over two decades of experience in metallurgy, welding technology, and materials engineering, he has developed a prolific career that spans teaching, research, industrial collaboration, and international academic contribution. His expertise lies at the crossroads of welding simulation, additive manufacturing, and materials behavior, especially under advanced processing techniques.

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📘 Early Academic Pursuits

Dr. Elmi Hosseini’s academic journey began with a Bachelor of Science degree from Ferdowsi University of Mashhad in 2003, where he focused on metallurgical engineering, culminating in a thesis on the microstructural effects of cooling rates during heat treatment. He pursued his Master’s at Iran University of Science and Technology, with a specialization in material identification and vacuum arc remelting processes. His Ph.D. in Materials Science & Engineering (Welding Metallurgy) was awarded by the prestigious Shanghai Jiao Tong University, China, in 2018, where he studied the laser welding of dissimilar alloys (Ti6Al4V-304SS), under the sponsorship of the National Natural Science Foundation of China.

🏢 Professional Endeavors

Dr. Elmi Hosseini has held academic positions for more than 17 years, starting as a faculty member at the University of Sistan & Baluchestan before joining IUST in 2020. He has also been involved in numerous industrial projects, including the production of FSW machines, laser cladding components, and high-performance welded joints. His post-doctoral fellowship at the University of Aveiro in Portugal (2019-2020) emphasized welding simulation and surface treatment optimization in collaboration with Bi-silque S.A.

🔬 Contributions and Research Focus

His research focuses on welding technology, simulation (Simufact software), metallurgical transformations, and additive manufacturing of alloys. He has actively contributed to understanding dissimilar material welding, especially between titanium and stainless steel, and the mechanical behavior of high-entropy alloys. His studies include both experimental investigations and computational modeling, including CALPHAD, SEM-EBSD, and viscoplastic constitutive modeling.

🌍 Impact and Influence

With multiple high-impact journal publications, Dr. Elmi Hosseini’s work is widely recognized in the welding metallurgy and materials simulation communities. He has co-authored articles in top-tier journals such as Materials, Intermetallics, Journal of Materials Research and Technology, and International Journal of Non-Linear Mechanics. His role as a collaborator in national and international funded projects, including those supported by the NSFC and Chinese government, reflects his global research footprint.

📈 Academic Citations

Although specific citation metrics are not listed here, the presence of Dr. Elmi Hosseini in widely read and cited journals, book chapters in Springer and Taylor & Francis, and numerous international conference presentations suggest a growing and credible academic citation profile within materials science and engineering domains.

🧪 Research Skills

Dr. Elmi Hosseini demonstrates extensive mastery in material characterization techniques such as SEM, EBSD, EDS, XRD, TEM, and HRTEM, along with CALPHAD modeling via Thermo-Calc. He integrates advanced numerical methods and software tools like Simufact for welding simulation and Origin for data analysis, showcasing a versatile research skillset suitable for both academic and industrial applications.

👨‍🏫 Teaching Experience

He has taught 13 undergraduate and postgraduate courses, including Welding and Joining, Additive Manufacturing, Nondestructive Testing, Powder Metallurgy, and Advanced Welding Processes, at IUST since 2020. Earlier, at USB, he delivered a wide range of fundamental courses in thermodynamics, casting, heat treatment, and materials selection, reflecting a comprehensive teaching portfolio.

🏆 Awards and Honors

Dr. Elmi Hosseini has received numerous accolades, including:

  • 🏅 Outstanding Faculty in International Collaboration – IUST, 2024

  • 🥇 Excellent International Student Awards (2015–2017) – Shanghai Jiao Tong University

  • 📚 Top Book Award for Engineering Materials at the 3rd National Symposium of Harekat, Iran

  • 🧪 Best Paper Recognition at ICMH 2010 for a study on carburizing processes

These distinctions confirm his academic excellence and impactful teaching performance.

📚 Books & Publications

Dr. Elmi Hosseini is the author of 4 major books in Farsi, including the widely used “Engineering Materials” textbook and “English for Materials Science and Engineering.” He has also contributed book chapters in prestigious publications like the Springer Aerospace Materials Series and Encyclopedia of Iron and Steel by Taylor & Francis.

🔧 Industry Collaboration & Innovation

He has collaborated on industrial innovations including:

  • 🚀 Laser welding of Inconel alloys

  • 🔍 Mechanisms of crack formation in additive manufacturing

  • ⚙️ Fabrication of welding parts and tools for large-scale applications

His patent on a cooling rate measuring system for quenching media also shows an early and practical contribution to industrial process optimization.

🌟 Legacy and Future Contributions

Dr. Seyed Reza Elmi Hosseini continues to bridge the gap between academia and industry, driving interdisciplinary research, supervising emerging scholars, and contributing to materials engineering education. His trajectory shows promise in expanding into smart manufacturing, digital twin simulations in welding, and AI-based process optimization.

📝 Conclusion

In summary, Dr. Elmi Hosseini stands as a multifaceted academician, blending rich research output, impactful teaching, and applied industrial work. His background and continuing dedication make him an ideal nominee for Best Faculty Award, given his strong academic profile, leadership in international collaboration, and commitment to advancing materials engineering education and research.

Top Publications

Similar and Dissimilar Rotary Friction Welding of Steels: A Review of Microstructural Evolution and Mechanical Properties

  • Authors: Mojtaba Farbakhti, Seyed Reza Elmi Hosseini, Seyed Ali Mousavi Mohammadi, Sadaf Sadatabhari, Huo Yuan-ming, Ruifeng Li
    Journal: Journal of Materials Research and Technology
    Year: 2025

A Critical Review on Dissimilar Welding of Stainless Steels To Titanium Alloys: Technology and Metallurgy

  • Authors: V. Foroughi, S. R. Elmi Hosseini
    Journal: International Journal of ISSI
    Year: 2024

Microstructure and Hardness of Nickel-Based Coatings Prepared by Laser Additive Manufacturing on Water-Cooled Substrate: An Experimental and Numerical Study

  • Authors: Mingjun Yan, Ruifeng Li, Jiajunqi Guo, Bin Liu, Xiaoqiang Zhang, Yue Zhao, Taotao Li, Lei Qiao, Seyed Reza Elmi Hosseini
    Journal: Materials
    Year: 2024

Microstructure Evolution and Mechanical Properties of NiAlCrFeMo High Entropy Superalloy after Different Annealing Treatment

  • Authors: Wenhan Yu, Yuanming Huo, Zhijun Wang, Zhenrong Yan, Tao He, Seyed Reza Elmi Hosseini, Hongchao Ji, Hao Chen
    Journal: Intermetallics
    Year: 2024

Establishing a Unified Viscoplastic Constitutive Equation for EA4T Steel: Comparative Analysis with Arrhenius Model

  • Authors: Hao Chen, Yuanming Huo, Tao He, Zhenrong Yan, Zhiwei Li, Hongchao Ji, Seyed Reza Elmi Hosseini, Zhaozhao Wang, Zhiyuang Bian, Wenhan Yu, Zixin Zhou
    Journal: International Journal of Non-Linear Mechanics
    Year: 2024

Feng Tian | Cancer Biophotonics Studies | Best Researcher Award

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Prof. Dr. Feng Tian | Cancer Biophotonics Studies | Best Researcher Award

Prof. Dr. Feng Tian, Hebei University of Engineering, China 

Dr. Feng Tian, Ph.D., is a distinguished Professor of Bioinformatics and Medical Data Science at the School of Medicine, Hebei University of Engineering. With over two decades of academic and research excellence, Dr. Tian has established himself as a pioneer in integrating artificial intelligence, bioinformatics, and public health data science. His interdisciplinary expertise drives cutting-edge solutions across clinical diagnostics, multi-omics research, and emergency medical services.

Profile 

Scopus

🎓 Early Academic Pursuits

Dr. Tian earned both his Bachelor’s degree in Biology and his Ph.D. in Bioinformatics from the prestigious Tsinghua University in Beijing, one of China’s top academic institutions. During this period (2000–2009), he demonstrated exceptional promise in computational biology and systems genomics. His doctoral research laid the groundwork for his later contributions to regulatory network analysis and transcription factor dynamics.

👨‍🏫 Professional Endeavors

Dr. Tian has held the position of Professor at Hebei University of Engineering since 2021. His international outlook is marked by his tenure as a Visiting Scholar at the National Center for Data Mining, University of Illinois at Chicago (UIC), where he collaborated with globally recognized experts in biomedical informatics. He has also played a crucial role in establishing the Hebei Key Laboratory of Medical Data Science, fostering innovation at the intersection of AI and health sciences.

🔬 Contributions and Research Focus

Dr. Tian’s primary research interests include:

  • Artificial Intelligence in Health Big Data: Developing intelligent systems for disease prediction, emergency triage, and resource allocation.

  • Multi-Omics Data Integration: Focused on molecular subtyping and MRD detection in Acute Lymphoblastic Leukemia (ALL) using transcriptomic and epigenomic data.

  • Bioinformatics Platforms: Architecting data analysis systems such as miRAS and FlyNet, enabling high-throughput genomic data processing.

  • Public Health Policy Research: Evaluating healthcare accessibility and the impact of localized health interventions like the Handan “Health Cabins” model.

🌍 Impact and Influence

Dr. Tian has co-authored high-impact publications in Nature Communications, Haematologica, Advanced Science, and Bioinformatics, reflecting his global academic stature. His work has significantly advanced our understanding of ALL pathogenesis, and informed AI-based clinical workflows in China. As Principal Investigator on several multi-disciplinary projects, he has bridged the gap between academic research and real-world healthcare applications.

📊 Academic Citations

Dr. Tian’s publications have garnered substantial academic citations, particularly in areas involving gene regulatory networks, deep learning for medical text, and multi-omics disease characterization. His 2024 and 2025 papers on glucocorticoid response in leukemia and tumorigenic profiling of adrenal incidentalomas are already becoming cornerstone references in the field.

🧠 Research Skills

Dr. Tian is highly proficient in:

  • AI and Deep Learning for medical NLP and classification tasks.

  • Multi-omics Data Analysis, including single-cell transcriptomics and epigenetic landscape mapping.

  • Spatial Data Modeling for evaluating healthcare accessibility using probabilistic algorithms.

  • Cross-species genomic comparison and graph-based regulatory modeling.

These technical proficiencies underscore his rare ability to combine computational rigor with biomedical relevance.

🎓 Teaching Experience

Although his profile focuses largely on research, as a university professor, Dr. Tian contributes to the training of graduate students, supervising research projects, and likely guiding Ph.D. candidates in bioinformatics and medical data science. Expanding documentation of his mentorship impact would further highlight his academic leadership.

🏆 Awards and Honors

Dr. Tian has been the recipient of numerous national and provincial awards, including:

  • 🥇 First Prize, Hebei Provincial Science and Technology Progress Award (2024)

  • 🥈 Second Prize, Invention and Entrepreneurship Achievement Award, China Association of Inventions (2024)

  • 🥇 First Prize, Hebei Medical Science and Technology Award (2021)

  • 🥉 Third Prize, Outstanding Achievement Award in Social Sciences (2024)

These accolades validate the real-world impact and innovation of his work, both technically and socially.

🧾 Patents and Software Copyrights

Dr. Tian has secured 22 patents and software copyrights, including:

  • A patented Prehospital Emergency Information Processing Device (2021)

  • A method for AI-driven Emergency Text Classification using ChatGLM (2024)

  • A patented Site Selection Model for Emergency Medical Stations (2025)

These innovative tools have applications in emergency response, healthcare infrastructure planning, and medical informatics.

🌟 Legacy and Future Contributions

Dr. Tian is building a legacy of translational research and technological innovation. His future contributions are likely to further:

  • Shape AI-powered healthcare delivery models in China and abroad.

  • Deepen the understanding of cancer genomics through multi-omics research.

  • Influence healthcare policy through data-driven evaluations of public health programs.

As a leader in medical AI and public health informatics, he is poised to play a key role in addressing global healthcare challenges through data science and precision medicine.

Top Publications

miRAS: a data processing system for miRNA expression profiling study

  • Authors: Tian F, Zhang H, Zhang X, Song C, Xia Y, Wu Y, Liu X

  • Journal: BMC Bioinformatics

  • Year: 2007

  • Citation: BMC Bioinformatics. 2007 Aug 4;8(1):285.

A new single nucleotide polymorphism genotyping method based on gap ligase chain reaction and a microsphere detection assay

  • Authors: Tian F, Wu Y, Zhou Y, Liu X, Visvikis-Siest S, Xia Y

  • Journal: Clinical Chemistry and Laboratory Medicine (Clin Chem Lab Med)

  • Year: 2008

  • Citation: Clin Chem Lab Med. 2008;46(4):486-9.

A graph model based study on regulatory impacts of transcription factors of Drosophila melanogaster and comparison across species

  • Authors: Tian F, Chen J, Bao S, Shi L, Liu X, Grossman RL

  • Journal: Biochemical and Biophysical Research Communications (Biochem Biophys Res Commun)

  • Year: 2009

  • Citation: Biochem Biophys Res Commun. 2009 Sep 4;386(4):559-62.

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

  • Authors: Tian F*, Shah PK*, Liu X, Negre N, Chen J, Karpenko O, White KP, Grossman RL
    (*Shared first authorship indicated)

  • Journal: Bioinformatics

  • Year: 2009

  • Citation: Bioinformatics. 2009 Nov 15;25(22):3001-4.

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

  • Authors: Zhang X, Zhang H, Sheng L, Tian F*
    (*Tian F listed as senior/last author)

  • Journal: IEEE Access

  • Year: 2022

  • Citation: IEEE Access, vol. 10, pp. 64638-64649, 2022.

  • DOI: 10.1109/ACCESS.2022.3179685

Haitham Mahmoud | AI | Best Researcher Award

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Dr. Haitham Mahmoud | AI | Best Researcher Award

Dr. Haitham Mahmoud , Birmingham City University , United Kingdom

🧑‍🎓 Short Bio & Early Academic Pursuits

Dr. Haitham Hassan Mohamed Mahmoud is a Research Fellow in Intelligent Networks at the Cyber-Physical System Research Group, Faculty of Computing, Engineering, and Built Environment, Birmingham City University, UK. His academic journey commenced with a Bachelor of Engineering (First Class Honours) in Electrical, Electronics, and Communications Engineering, through a dual-degree program between the British University in Egypt and Loughborough University, UK. Building on a solid foundation in communication systems and RF design, he pursued an MSc in Communication Engineering at AASTMT, Egypt, focusing on Cooperative Spectrum Sensing in Cognitive Radio Networks. He culminated his early academic phase with a PhD in Cyber-Physical Security for IoT-enabled water distribution systems, awarded by BCU as part of the prestigious Marie Curie ITN/Horizon2020 initiative.

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🧑‍🔬 Professional Endeavors & Career Path

Dr. Mahmoud’s professional career reflects consistent academic excellence and interdisciplinary collaboration. He has served as a Marie Curie ESR, Research Assistant, and Research Fellow, where he has been integral to projects funded by Horizon2020, EPSRC, British Council, and IUK. He currently leads multiple funded research initiatives while actively contributing to the UK’s telecoms innovation landscape, particularly through Open-RAN and 6G development.

🔍 Contributions & Research Focus

Dr. Mahmoud’s research bridges cybersecurity, AI, blockchain, IoT, and 5G/6G networks. He has developed self-supervised learning models for cyber-physical attack detection, contributed to blockchain-based privacy and reputation systems, and explored AI-enhanced Digital Twins for O-RAN. His projects span a wide spectrum—from smart water networks to quantum-secure communication and remote sensing for maritime search and rescue. His notable contributions include the WDSchain Toolbox, the OntoChain Project, and AI-based social care automation, underlining his cross-domain innovation in applying AI to real-world problems.

📈 Impact and Influence

With an H-index of 11 and over 470 citations, Dr. Mahmoud’s research has demonstrated significant influence. His high-impact publications in Q1 journals such as IEEE Internet of Things Magazine, IEEE Access, Sensors, and FGCS testify to his academic authority in IoT security, blockchain applications, and intelligent communication systems. His survey on 6G technologies is among the top cited and downloaded articles in the field, reflecting his thought leadership in next-gen networks.

📚 Academic Citations & Editorial Work

Dr. Mahmoud is not only a prolific researcher but also an active reviewer and editorial contributor. He has reviewed 300+ manuscripts for top-tier journals like IEEE Transactions, Scientific Reports, and MDPI. He is on the editorial board of Discover Networks (Springer) and leads several special issues on AI in 5G/6G, IoV, and blockchain technologies. His role as TPC member and session chair at major conferences (e.g., WCCI, ICACIN, WCNC) further underscores his scholarly engagement at the international level.

🛠️ Research Skills & Capabilities

Dr. Mahmoud exhibits technical versatility with expertise in MATLAB, Python, C++, and blockchain frameworks like Ethereum. He is proficient in data intelligence, machine learning, DL/RL algorithms, network simulation, and sensor integration. His ability to lead multidisciplinary research teams, manage cross-national projects, and mentor young researchers highlights his project management and leadership acumen.

👨‍🏫 Teaching Experience

Dr. Mahmoud has demonstrated excellent teaching skills across multiple academic levels. At BCU, he led postgraduate modules such as Applied Machine Learning (Level 7) and Mathematics for Computing (Level 4) with impressive MMR scores (4.4 and 4.3). Previously, at British University in Egypt, he taught a wide array of modules including Programming in Java, Signals & Systems, and Wireless Communications, while supervising numerous MSc and BSc theses.

🏆 Awards and Honors

Dr. Mahmoud’s dedication has been recognized through multiple prestigious accolades:

  • 🥇 Best Researcher Award (2024) – Birmingham City University

  • 🏆 Best Paper Awards at ICACIN 2024 and IEEE Comnetsat 2017

  • 🌟 Top Cited & Downloaded Articles in Transactions on Emerging Telecommunications Technologies (Wiley)
    These awards affirm his excellence in research innovation, impact, and outreach.

🌍 Legacy and Future Contributions

Dr. Mahmoud is carving a path toward becoming a global leader in smart communication systems and AI-driven cyber-physical security. With ongoing supervision of 2 PhD, 2 MSc, and 4 BSc students, he is actively shaping the next generation of engineers and researchers. His visionary work on sustainable AI, resilient infrastructures, and inclusive digital engineering promises long-lasting contributions to academia, industry, and policy-making.

Top Publications

Enhancing Resilience in IoT Water Systems Using Data-Intelligence and Decentralization


  • Authors: Haitham H. Mahmoud, Wenyan Wu, Mohamed Gaber, Yonghao Wang
    Journal: IEEE IoT Magazine
    Year: 2025

Vision-Based UAV Detection and Tracking Using Deep Learning and Kalman Filter


  • Authors: Nancy Alsaer, Reham Abdelfatah, Tawfik Ismail, Haitham H. Mahmoud
    Journal: Computational Intelligence
    Year: 2025

Enhancing Security Awareness Through Gamified Approaches


  • Authors: Yussuf Ahmed, Muhammad Ajmal Azad, Mohamed Ben Farah, Mehdi Yousefi, Haitham H. Mahmoud, Michael Ezealor
    Journal: arXiv preprint (arXiv:2404.09052)
    Year: 2024

 A Systematic Review of Blockchain-Based Privacy-Preserving Reputation Systems for IoT Applications


  • Authors: Haitham H. Mahmoud, Junaid Arshad, Adel Aneiba
    Journal: Distributed Ledger Technologies
    Year: 2024

 

 

 

Tikaram Neupane | Light-Matter Interactions | Best Researcher Award

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Assist. Prof. Dr. Tikaram Neupane | Light-Matter Interactions | Best Researcher Award

Assist. Prof. Dr. Tikaram Neupane , University of North Carolina at Pembroke, United States 

Dr. Tikaram Neupane is an accomplished Assistant Professor of Physics at the University of North Carolina at Pembroke, where he merges a passion for cutting-edge research in condensed matter and optical physics with deep commitment to undergraduate education and scientific outreach. His career reflects an inspiring journey from Nepal to international academic platforms, including prestigious institutions in Italy, Wyoming, Virginia, and North Carolina, underpinned by fellowships, research assistantships, and national awards.

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📚 Early Academic Pursuits

Dr. Neupane’s scientific foundation was laid through a Postgraduate Diploma in Earth System Physics from the International Center for Theoretical Physics (ICTP), Trieste, Italy, supported by a UNESCO Fellowship (2010–2011). He furthered his education with an M.S. in Condensed Matter Physics from the University of Wyoming (2014–2015), where he worked on solar cell characterization and perovskite simulation. His academic journey culminated in a Ph.D. in Condensed Matter and Optical Physics from Hampton University (2016–2020), where he explored nonlinear optical phenomena in 2D materials like Tungsten and Molybdenum Disulfides.

🧪 Professional Endeavors

Currently serving as an Assistant Professor at UNCP (since 2021), Dr. Neupane balances his teaching responsibilities with active roles in program coordination, student mentorship, and undergraduate research leadership. His prior postdoctoral work (2020–2021) at the University of Southern Mississippi and NASA’s Stennis Space Center reflects his interdisciplinary scope, focusing on Ocean Optics and Remote Sensing.

🔬 Contributions and Research Focus

Dr. Neupane’s research spans nonlinear optics, nanophotonics, and quantum materials, with particular emphasis on:

  • Third-order optical nonlinearity in 2D materials

  • Quantum dots and photoluminescence

  • Spatial self-phase modulation and all-optical switching

  • First-principle simulations using DFT (Density Functional Theory)

He has authored over 12 peer-reviewed journal articles, contributed to a book chapter on graphene, and presented at 65+ scientific conferences—a testament to his consistent scholarly productivity.

🌍 Impact and Influence

As the Director of the North Carolina Region 4 Science and Engineering Fair and a board member of the statewide fair, Dr. Neupane plays a critical role in STEM outreach and student recruitment, especially within minority-serving institutions. He is also an organizer, judge, and evaluator in diverse scientific arenas, from the DoD SMART scholarship program to robotics competitions and ANPA conferences.

📈 Academic Citations & Recognition

Dr. Neupane’s works are cited in materials science, optics, and nanotechnology research communities, particularly his studies on graphene oxide, transition metal dichalcogenides (TMDCs), and perovskite QDs. His recent publications in Optics and Laser Technology, Materials, and Crystals have attracted significant academic interest.

🧠 Research Skills

Dr. Neupane is proficient in both experimental and computational techniques, including:

  • Laser systems (picosecond, nanosecond, and CW lasers)

  • Spectroscopic techniques (UV-Vis, Raman, low-T PL)

  • Microscopy (AFM, TEM, XRD)

  • Nonlinear characterization (Z-scan, I-scan, self-phase modulation)

  • Software and Simulation tools like VASP, Quantum Espresso, MATLAB, and Origin

👨‍🏫 Teaching Experience

At UNCP, Dr. Neupane leads undergraduate courses in physics, coordinates the Applied Physics Program, and supervises student-led research through the Pembroke Undergraduate Research and Creativity (PURC) Center. His ability to simplify complex concepts and his commitment to student development are consistently praised.

🏅 Awards and Honors

Dr. Neupane’s excellence is recognized through numerous accolades:

  • 🥇 Best Presentation Award, ICNST International Conference (2019)

  • 🚀 NASA & DoD Research Assistantship, Hampton University

  • 🌍 UNESCO Fellowship, ICTP

  • 🎓 Dean’s Research and Scholarship Fund (2021), NC Collaboratory for HMSIs (2022), PURC Research Funds (2023–2025)

🔮 Legacy and Future Contributions

Dr. Neupane is set to chair the 8th ANPA International Conference in 2025 and will continue to lead national efforts in optical research, student development, and scientific inclusivity. His trajectory promises continued innovation in photonics and nanomaterials, while fostering the next generation of physicists through education, mentorship, and global scientific collaboration.

Top Publications

“Size-dependent fluorescence properties of CdSe quantum dots”

  • Authors: U. Poudyal, C. M. Adhikari, N. H. Makani, B. R. Gautam, and T. Neupane
    Journal: Solid State Communications
    Year: 2025 (Accepted)

“Cubic Nonlinearity of Graphene-oxide Monolayer”

  • Authors: T. Neupane, U. Poudyal, B. Tabibi, W-J Kim, F. J. Seo
    Journal: Materials, Volume 16, Article 6664
    Year: 2023

“Dispersion in Single-Wall Carbon Nanotube Film: An Application of Bogoliubov–Valatin Transformation for Hamiltonian Diagonalization”

  • Authors: C. M. Adhikari, D. M. Morris, T. W. Noonan, T. Neupane, B. R. Lamichhane, B. R. Gautam
    Journal: Condens. Matter, Volume 8, Article 53
    Year: 2023

“Spatial self-phase Modulation in Graphene-oxide Monolayer”

  • Authors: T. Neupane, B. Tabibi, W-J Kim, F. J. Seo
    Journal: Crystal, Volume 813, Article 271
    Year: 2023

“Crossover from reverse Saturable to Saturable Absorption in Two-Dimensional Tungsten Disulfide”

  • Authors: T. Neupane, C. M. Adhikarihird-order optical nonlinearity in 2D materials
    Journal: Journal of Nepal Physical Society, Volume 8, Pages 31–36
    Year: 2022

Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

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Dr. Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

Dr. Dongdong Liu ,Shanghai Jiao Tong University, China

Dongdong Liu, is a Ph.D. candidate in the School of Mechanical Engineering at Shanghai Jiao Tong University (SJTU), one of China’s most prestigious research institutions. A direct-entry Ph.D. student, Dongdong is quickly emerging as a rising star in the field of advanced materials engineering, particularly in CVD (chemical vapor deposition) coatings and diamond tool technologies. He is mentored by Professor Fanghong Sun, a well-known expert in manufacturing and materials science.

Profile

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📘 Early Academic Pursuits

Dongdong began his academic journey with a B.Eng. in Mechanical and Electrical Engineering from the Nanjing University of Aeronautics and Astronautics (2017–2021), where he was recognized with the National Encouragement Scholarship (twice) and named both a University Outstanding Student and an Outstanding Graduate. His early achievements, including a second prize in a provincial mechanics competition, laid the foundation for his excellence in engineering and innovation.

🧑‍🔬 Professional Endeavors

Currently pursuing his Ph.D. since September 2021 at SJTU, Dongdong has led and co-led multiple major research projects. These include grants from the National Natural Science Foundation of China, international cooperative research, and industry-university collaboration projects. Notably, he has contributed to the design and industrial implementation of automated doping equipment for diamond coatings in cooperation with Mitsubishi (Japan)—a remarkable feat for a Ph.D. student.

🔬 Contributions and Research Focus

Dongdong’s research is centered on the fabrication and application of CVD coatings, especially diamond abrasive grains, doped/undoped single crystal diamond (SCD), and cutting and grinding tool technologies. His expertise includes simulation and experimental investigation of micro-edge diamond abrasive grains, the development of novel CVD-based grinding tools, and the design of high-performance doped diamond films. His innovations have applications in precision grinding of hard-brittle materials like SiC ceramics, quartz glass, and silicon wafers.

🌍 Impact and Influence

Despite still being a student, Dongdong’s research has already crossed academic and industrial boundaries. He has facilitated the industrialization of diamond coating technologies, a rare achievement at the doctoral level. His work bridges the gap between fundamental materials science and real-world engineering applications, contributing to sectors such as semiconductor manufacturing, automotive, and aerospace materials processing.

📚 Academic Cites

Dongdong has authored multiple first-author articles in high-impact journals, including:

  • Journal of Materials Research and Technology (IF: 6.2)

  • Journal of Manufacturing Processes (IF: 6.1)

  • Applied Surface Science (IF: 6.3)

  • Diamond and Related Materials (IF: 4.3)

  • Ceramics International (IF: 5.1)

These publications, combined with his participation in international symposia like ISAAT 2023 and 2024, have made his work visible to a global research community.

🧪 Research Skills

Dongdong brings a rare combination of theoretical depth and experimental mastery. His skills span:

  • CVD process simulation and optimization

  • Diamond doping technologies (B, N, Si, and multi-doping)

  • Advanced tool design and fabrication

  • Materials characterization

  • Finite element simulations of grinding mechanisms

His ability to translate complex scientific theories into functional industrial applications underscores his exceptional research acumen.

🎓 Teaching Experience

While not explicitly mentioned, his extensive project leadership, publication record, and conference presentations strongly imply mentorship and knowledge transfer skills, crucial for teaching and academic development roles in the future.

🏅 Awards and Honors

Dongdong has accumulated numerous accolades that reflect his academic excellence and innovation:

  • 🥈 2024 Silver Award (Team Leader), CICSIC Industry Track, Shanghai Division

  • 🎓 BYD Scholarship, 2024 (Industry-recognized)

  • 🏆 National Encouragement Scholarship, twice

  • 🥈 Second Prize, Provincial Mechanics Competition

  • 🌟 Outstanding Student & Graduate, Nanjing University of Aeronautics and Astronautics

These honors are a testament to his leadership, creativity, and technical excellence.

🚀 Legacy and Future Contributions

Dongdong Liu is poised to become a leading researcher and innovator in materials engineering and tool technology. His contributions to CVD-based diamond tool development, particularly in precision grinding and semiconductor processing, have already demonstrated industrial scalability and societal relevance. With his momentum, he is expected to contribute to next-generation manufacturing technologies, mentor future engineers, and bridge academic research with industrial implementation.

Top Publications

Simulation and experimental investigation of single CVD micro-edge diamond abrasive grain grinding

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Materials Research and Technology
    Year: 2025 (Accepted)

 Numerical simulation and experimental researches on different abrasive grain arrangements of monolayer   diamond grinding tools fabricated by HFCVD method

  • Authors: Liu D, Zhu H, Lu M, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2024

 Fabrication and grinding performance of CVD diamond coated Ni-based brazed diamond grinding tools

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2025 (Accepted)

 Optimization of deposition parameters for the growth of micro-edge diamond abrasive grains using HFCVD method

  • Authors: Liu D, Lu M, Zhang C, et al.
    Journal: Diamond and Related Materials
    Year: 2023

DFT calculations and experiments of oxidation resistance research on B, N, and Si multi-doped diamond films

  • Authors: Lu M, Liu D, Zhang C, et al.
    Journal: Applied Surface Science
    Year: 2023

Ruitao Chai | Novel Fluorescent Technologies | Top Researcher Award

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Dr. Ruitao Chai | Novel Fluorescent Technologies | Top Researcher Award

Dr. Ruitao Chai  , Xi’an University of Architecture and Technology ,  China

Dr. Ruitao Chai is a dedicated Chinese materials scientist whose academic journey and research have significantly contributed to the development of luminescent nanocomposites. She obtained her Ph.D. in 2010 from the State Key Laboratory of Rare Earth Resource Utilization at the Changchun Institute of Applied Chemistry, Chinese Academy of Sciences (CAS)—a prestigious institution known for pioneering work in materials chemistry. Currently, she serves as a lecturer at Xi’an University of Architecture and Technology, where she continues to advance her work in display and lighting technologies.

Profile 

Scopus

📚 Early Academic Pursuits

Dr. Chai’s early academic path was deeply rooted in rare earth chemistry and applied materials science. During her doctoral studies at CAS, she focused on the synthesis, characterization, and photophysical behavior of rare earth-doped nanomaterials, laying a strong foundation in luminescence mechanisms, nanostructure engineering, and energy transfer dynamics—skills critical to modern optoelectronic applications.

🧪 Professional Endeavors

After completing her Ph.D., Dr. Chai joined Xi’an University of Architecture and Technology as a faculty member. In her role as a lecturer, she has balanced teaching, mentoring, and high-impact research, while actively participating in collaborative projects aimed at improving solid-state lighting and flexible display materials.

🔬 Contributions and Research Focus

Dr. Chai’s research primarily focuses on luminescent nanocomposites designed for display and lighting applications. Her work explores the integration of rare earth elements, quantum dots, and polymer matrices to achieve efficient photoluminescence, color tuning, and thermal stability. Her studies contribute to the next generation of energy-saving and high-performance lighting technologies.

🌟 Impact and Influence

While still in the early to mid-stages of her career, Dr. Chai has influenced the field of functional materials for optoelectronics, particularly in China’s emerging photonics industry. Her contributions support broader sustainability goals, promoting the development of eco-friendly lighting systems.

📖 Academic Citations

Although her citation metrics are currently modest compared to long-standing researchers, Dr. Chai’s work has been referenced in journals focused on luminescent materials, rare earth chemistry, and nanocomposites. Her citations reflect a growing acknowledgment of her niche expertise in applied photoluminescence.

🛠️ Research Skills

Dr. Chai demonstrates proficiency in a wide range of research techniques, including:

  • Sol–gel and hydrothermal synthesis

  • Spectroscopic analysis (PL, UV-Vis, FTIR)

  • X-ray diffraction and electron microscopy

  • Surface modification of nanomaterials

  • Thermal and optical property analysis

Her methodological skills allow her to design nanocomposites with controlled luminescent properties and stability, essential for real-world deployment.

👩‍🏫 Teaching Experience

At Xi’an University of Architecture and Technology, Dr. Chai teaches undergraduate and graduate courses in materials chemistry, nanoscience, and optical materials. She is known for blending fundamental theory with hands-on experimental training, preparing students for both academia and industry.

🏆 Awards and Honors

While specific awards are not listed, her appointment as a lecturer at a major Chinese university and her doctoral completion from CAS indicate high recognition of her academic capability. It is likely that she has received institutional or provincial research funding to support her work.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Ruitao Chai is poised to further strengthen her contributions to sustainable photonic materials. Her future work is expected to focus on environmentally benign synthesis methods, multi-functional nanocomposites, and smart lighting systems for energy-efficient architecture. She is also likely to mentor the next generation of scientists in luminescence and nanomaterials research.

Top Publications

Synthesis and characterization of NaYF₄: Yb³⁺, Tm³⁺/CsPbBr₃ composites with wide absorption spectra for potential application in solar cells

  • Authors: Ruitao Chai, Guo Zhang

  • Journal: Optical Materials

  • Year: 2025

  • Citations: 0 (as of now)

Preparation and Characterization of Red, Green, Blue (RGB) and White Luminescent Inorganic/Organic Polymers Through In Situ Polymerization

  • Authors: Ruitao Chai, Guo Zhang

  • Journal: Journal of Fluorescence

  • Year: 2024

  • Citations: 0 (as of now)

Madhu Biyani | Electrochemical Biosensors | Best Researcher Award

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Assist Prof. Dr. Madhu Biyani | Electrochemical Biosensors | Best Researcher Award

Assist Prof. Dr. Madhu Biyani, Kanazawa University, Japan

Dr. Madhu Biyani is a physician and bioengineer from India, currently serving as Assistant Professor at NanoLSI, Kanazawa University, Japan. With a doctorate in bioengineering from Saitama University, her expertise lies in drug metabolism and electrochemical biosensors. She bridges clinical insight with molecular biology, contributing to research on peptide aptamers for targeted diagnostics. Her interdisciplinary work enriches biomedical innovation, especially in precision medicine. Fluent in Japanese and English, Dr. Biyani’s global academic and research journey exemplifies scientific excellence and cross-cultural collaboration. 🌏

👩‍⚕️ Profile

Scopus

🎓 Education

Dr. Biyani completed her Bachelor of Homoeopathic Medicine and Surgery (B.H.M.S.) from the University of Rajasthan in 2000. She then pursued her Ph.D. in Bioengineering at Saitama University, Japan, in 2011. Her doctoral thesis focused on enhancing protease activity using peptide aptamers for drug discovery applications. She also holds JLPT Level N3 certification, demonstrating proficiency in Japanese. Her educational path reflects a strong integration of clinical medicine and molecular engineering—forming the basis of her impactful biosensor and drug metabolism research. 🎓

💼 Experience

Dr. Biyani has over 15 years of experience in biomedical research across academia and industry. She has worked in premier Japanese projects such as REDS (JST), City Area, and Sentan, focusing on biomolecule design and diagnostics. Her tenure includes research roles in Saitama University, JAIST, and Toyama Prefectural University. She also contributed to a private biotech firm, BioDevice Technology Ltd. Since 2020, she’s held a faculty position at NanoLSI, where she leads drug metabolism and toxicology studies. Her career reflects a diverse, well-rounded scientific journey from bench to bedside. 🔬

🔬 Research Interest

Dr. Biyani’s research focuses on drug metabolism, toxicology, peptide aptamer development, and electrochemical biosensors. She is passionate about translating molecular tools into clinically actionable platforms, enabling real-time monitoring of enzymatic activity and drug responses. Her work integrates nanotechnology, molecular biology, and analytical chemistry—providing precision tools for early disease detection and safer drug therapies. She is particularly interested in using biosensors for evaluating liver enzyme functions and metabolic pathways, which can revolutionize personalized medicine. ⚗️

🏅 Awards

While Dr. Biyani has not yet received high-profile awards, she is an emerging talent with significant contributions to Japanese and international biomedical research. Her involvement in multiple Japanese Science and Technology Agency (JST) projects and her role in developing clinical biosensing platforms position her as a strong contender for research recognition. Her cross-disciplinary and multicultural profile makes her an ideal candidate for young researcher, women in science, and bioengineering innovation awards. 🌟

📚 Publication Top Notes

“Protease Activity-Enhancing Peptide Aptamer Development”

“Application of Electrochemical Biosensors in Drug Toxicity Screening”

“Design of Aptamer-Based Platforms for Drug Metabolism Analysis”

khaterehsarmast | Soil contamination | Best Research Article Award

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Mrs. khaterehsarmast | Soil contamination | Best Research Article Award

Mrs hatereh sarmasti, University of Zanjan, Iran

Dr. Chong Shan is currently serving as an Assistant Researcher at the Shanghai Institute of Ceramics, Chinese Academy of Sciences. With a strong foundation in materials science and optics, his work explores the frontiers of laser-matter interaction and ultrafast optics. Passionate about advancing photonics and energy-related materials, Dr. Shan has significantly contributed to the understanding of optical damage and coherent light phenomena in dielectric materials. 🌌

Profile

scopus

🎓 Education

Dr. Shan obtained his Ph.D. in Physics from Fudan University, one of China’s premier institutions, where he specialized in laser-material interaction and ultrafast phenomena. His academic journey is rooted in a strong theoretical and experimental background that fuels his current scientific inquiries. 🧑‍🎓

💼 Experience

Following his doctoral studies, Dr. Shan joined the Shanghai Institute of Ceramics, CAS, as an Assistant Researcher. In this role, he has led several national and institutional research initiatives focusing on laser-induced damage, low-coherence light sources, and photonic applications in advanced ceramics. He actively collaborates with leading experts in nonlinear optics and laser physics. 🔬

🔍 Research Interests

Dr. Shan’s primary research interests include laser-matter interaction, optical damage in fused silica, low-temporal coherence light, and nonlinear optical effects in dielectric materials. His work bridges the gap between fundamental light-matter studies and practical applications in high-power laser systems and photonic devices. 💡

🏆 Awards

Dr. Chong Shan has been recognized for his research excellence with several academic accolades, including merit-based research funding and institutional honors. He is a strong contender for categories such as Best Researcher Award, Excellence in Innovation, and Young Scientist Award due to his pioneering contributions to photonics and laser-material interaction. 🏅

📚 Publications

“Spatially resolved time-gated imaging of surface laser damage in fused silica”

“Temporal coherence induced modulation of laser damage morphology in fused silica”

“Low-coherence light induced non-Gaussian energy deposition and damage morphology in dielectric materials”

Ayoub H. Jaafar | Integrated memory arrays | Best Researcher Award

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Dr. Ayoub H. Jaafar | Integrated memory arrays | Best Researcher Award

Dr. Ayoub H. Jaafar, University of Nottingham, United Kingdom

Dr. Ayoub H. Jaafar is an accomplished physicist and Research Fellow at the School of Physics and Astronomy, University of Nottingham, UK. 🌍 He holds a PhD in Physics from the University of Hull and is renowned for his pioneering work on optically tunable memristors and nanocomposite devices for neuromorphic and photonic computing. Over the years, he has held prestigious research roles across leading UK institutions and contributed extensively to state-of-the-art advances in memory technologies. With a strong portfolio of publications and active participation in peer-review and scientific mentoring, Dr. Jaafar exemplifies academic excellence and leadership in applied physics. 🧪✨

🧑‍💼 Profile

Orcid

Googlescholar

🎓 Education

Dr. Jaafar earned his PhD in Physics (2014–2018) from the University of Hull, UK, with a thesis focused on organic-inorganic composite materials for memristors. His MSc in Applied Physics (2010–2012) and BSc in Applied Physics (2004–2009) were both obtained from the University of Technology, Baghdad, where he graduated top of his class during his MSc and ranked fifth during his undergraduate studies. His education was supported by a fully funded scholarship from the Iraqi Ministry of Higher Education, covering tuition, living expenses, and English language training in the UK. 🎓📘

🧪 Experience

Dr. Jaafar’s career spans key academic and industrial research appointments. He currently serves as a Research Fellow at the University of Nottingham (2022–present), where he is developing optically tunable memristors for AI-driven photonic systems. Previously, he was a Research Fellow at the University of Southampton (2020–2022), focusing on phase-change memories and chalcogenide materials as part of the EPSRC-funded ADEPT project. At the University of Hull (2018–2019), he worked on graphene oxide-based optical memory devices. His broad technical skills include device fabrication, thin-film deposition, and advanced material characterization. 🧑‍🏫🔬

🔬 Research Interests

Dr. Jaafar’s research centers on next-generation memory systems, with a strong emphasis on resistive switching devices, optoelectronics, and neuromorphic computing. His focus areas include hybrid nanostructures, memristive behavior under optical control, and energy-efficient hardware for AI. His innovative work explores how memristors can mimic synaptic behaviors for brain-inspired computing. He also delves into reservoir computing, phase-change materials, and electrodeposited thin films. 🌐⚡

🏅 Awards

Dr. Jaafar was honored with the 2022/2023 Dean’s Award from the Faculty of Engineering and Physical Sciences at the University of Southampton for his exceptional contribution to research. He also received a fully funded PhD scholarship from the Iraqi Ministry of Higher Education. These accolades underscore his scientific excellence, leadership, and impactful research in emerging memory technologies. 🏆📈

📚 Publications

“Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films”, Advanced Materials Technologies, 2025 – cited by 2 articles.

“Light-Mediated Multi-Level Neuromorphic Switching in a Hybrid Organic-Inorganic Memristor”, ACS Omega, 2024 – cited by 5 articles.

“Unique Co-existence of Two Resistive Switching Modes in a Memristor Device Enables Multifunctional Neuromorphic Computing Properties”, ACS Applied Materials & Interfaces, 2024 – cited by 3 articles.

“Tunable Neuromorphic Switching Dynamics via Porosity Control in Mesoporous Silica Diffusive Memristors”, ACS Applied Materials & Interfaces, 2024 – cited by 4 articles.

“Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material”, NANOARCH 2023 Proceedings, 2023 – cited by 2 articles.

“Printed and Flexible Organic and Inorganic Memristor Devices”, Journal of Physics D, 2023 – cited by 6 articles.

“Optoelectronic Switching Memory Based on ZnO Nanoparticle/Polymer Nanocomposite”, ACS Applied Polymer Materials, 2023 – cited by 3 articles.

“Flexible Memristor Devices Using Hybrid Polymer/Electrodeposited GeSbTe”, ACS Applied Nano Materials, 2022 – cited by 7 articles.

“3D-Structured Mesoporous Silica Memristor for Neuromorphic Switching and Reservoir Computing”, Nanoscale, 2022 – cited by 8 articles.

“Anodic Sb₂S₃ Electrodeposition for RRAM Devices”, Electrochimica Acta, 2022 – cited by 4 articles.