Faranak Hatami – Computational Theory – Best Researcher Award 

Posted on by AMO Physics

Dr. Faranak Hatami’s academic journey reflects a multidisciplinary pursuit of knowledge rooted in Computational theory, physics, and engineering. Beginning with a B.S. in Electrical Engineering from Kurdistan University in 2013, she demonstrated early interest in both the physical sciences and applied computation. She further advanced her academic credentials with an M.Sc. in Nuclear Engineering from Shahid Beheshti University (SBU) in 2016, focusing on the effects of radiation damage on materials through molecular dynamics simulations. Her keen focus on atomistic modeling led her to pursue dual graduate degrees at the University of Massachusetts, Lowell an M.Sc. (2021–2023) and a Ph.D. in Physics (expected May 2025) where she embraced modern methodologies, such as AI-driven optimization and atomic-scale simulations.

💼 Professional Endeavors

Throughout her academic and research career, Dr. Hatami has bridged theoretical physics and practical computational applications, especially within the realm of Computational theory. Her professional experience spans multiple roles as a teaching assistant and lecturer, including courses on computational and statistical methods, general physics, and medical device physics. At Shahid Beheshti University, she served as a lecturer from 2016 to 2018 and currently continues as a teaching assistant in Physics at the University of Massachusetts, Lowell. Her academic projects are not only aligned with modern research priorities but are also deeply informed by her interdisciplinary training in physics, nuclear engineering, and machine learning.

🔬 Contributions and Research Focus

Dr. Hatami's research has made notable contributions to the fields of  Molecular Dynamics, force field optimization, and Computational theory. Her Ph.D. thesis focuses on the Transport Property Analysis and Multi-Objective Optimization of Force Field Parameters for Tri-Butyl-Phosphate (TBP) a novel integration of atomistic simulations with machine learning techniques like NSGA-II, NSGA-III, and neural networks. Her research explores dynamic properties (diffusion, viscosity) and thermodynamic characteristics of liquid molecules, with direct applications in nuclear and chemical process industries. Additionally, she has developed and compared classical and machine learning models for predicting physical properties such as viscosity using Python and high-performance computing tools.

🌍 Impact and Influence

Dr. Hatami’s work stands at the intersection of physics, materials science, and Computational theory, bringing together AI and molecular simulations in an innovative manner. Her projects ranging from image-based classification of biomolecular condensates using CNNs to free energy calculations and radiation damage analysis highlight her ability to apply computational models to a broad spectrum of physical problems. These efforts place her among a growing cohort of researchers leading the transformation of classical physics problems through machine learning and data-driven methods. Her influence is expanding through her contributions to academic instruction, research dissemination, and interdisciplinary collaboration.

🏆Academic Cites

While still completing her Ph.D., Dr. Hatami’s work has already gained academic traction. Her publications on molecular simulations and machine learning applications in physical chemistry are being cited for their originality and methodological rigor. Her comparative analysis of classical and AI-based models and the use of multi-objective optimization in force field development are expected to become foundational references for future researchers working at the intersection of  Modeling and Computational theory.

🌟 Legacy and Future Contributions

Dr. Faranak Hatami is poised to be a leading figure in the integration of Computational theory with atomic-scale physics. Her future goals include expanding her work in multi-physics simulations, advancing ML-based predictive models, and fostering cross-disciplinary innovations in nuclear, materials, and biomedical engineering. Through continued publication, teaching, and collaboration, she is shaping a legacy of data-driven physics that not only redefines simulation methodologies but also contributes to real-world applications in energy, medicine, and materials science.

📘Computational theory

Dr. Hatami's research is deeply rooted in Computational theory, from optimizing molecular dynamics parameters to building neural networks for property prediction. Her implementation of Computational theory across physics, AI, and molecular modeling demonstrates how data and computation are revolutionizing modern science. As she continues her academic career, her work will remain central to advancements in Computational theory and its role in solving complex physical problems.

✍️ Notable Publication

📘Interaction of primary cascades with different atomic grain boundaries in α-Zr: An atomic scale study

Authors: F. Hatami, S.A.H. Feghhi, A. Arjhangmehr, A. Esfandiarpour

Journal: Journal of Nuclear Materials

Year: 2016

Citations: 34

📘An energetic and kinetic investigation of the role of different atomic grain boundaries in healing radiation damage in nickel

Authors: A. Arjhangmehr, S.A.H. Feghhi, A. Esfandiyarpour, F. Hatami

Journal: Journal of Materials Science

Year: 2016

Citations: 31

📘Comparative Analysis of Machine Learning Models for Predicting Viscosity in Tri-n-Butyl Phosphate Mixtures Using Experimental Data

Authors: F. Hatami, M. Moradi

Journal: Computation

Year: 2024

Citations: 6

📘Comparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data

Authors: F. Hatami, M. Moradi

Year: 2023

Citations: 3

📘Properties of Tri-Butyl-Phosphate from Polarizable Force Field MD Simulations

Authors: F. Hatami, V. de Almeida

Conference: 2022 AIChE Annual Meeting

Year: 2022

Citations: 1

Weigang Hou – Optical Sensing – Best Researcher Award 

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Prof. Dr. Weigang Hou began his academic journey with a strong foundation in Engineering and Communication Systems, earning his Ph.D. in Communication and Information Systems from Northeastern University (China) between 2009 and 2013. His scholarly journey also includes impactful international experiences serving as a Research Assistant at City University of Hong Kong (2012–2013) and a Senior Visiting Scholar at Eindhoven University of Technology in 2019. These early academic pursuits laid the groundwork for his later breakthroughs in Optical Sensing, optical networks, and integrated systems.

💼 Professional Endeavors

Over the course of his illustrious career, Prof. Hou has held several prestigious roles at top-tier Chinese institutions. He is a Professor and “Wenfeng Guomai” Scholar at Chongqing University of Posts and Telecommunications and was appointed as Deputy Director at the Intelligent Communication and Network Security Research Institute (2020–2025). In 2025, he became the Executive Vice Dean of the Intelligent Wireless Optical Communication and Chip Research Institute at Northeastern University and assumed a dual professorship at the State Key Laboratory of Information Photonics and Optical Communications. His work spans cutting-edge Optical Sensing systems, data center optical networks, and security-aware architectures.

🔬 Contributions and Research Focus

Prof. Hou's primary research focus lies in data center optical networks and Optical Sensing technologies, addressing challenges in transmission-computing coordination, cloud security, and laser interconnect metasurfaces. His contributions include the development of an intrinsic coordination mechanism between optical networks and computing, advancing risk-aware virtual machine embedding, and innovating in optical metasurface chip design. These innovations are not only theoretical but have also been translated into practical applications in China’s state-owned enterprises, achieving multi-million-RMB economic benefits. His research solves long-standing NP-hard problems by unifying spectrum allocation with computing resource optimization—laying the foundation for the next generation of Optical Sensing and communication technologies.

🌍 Impact and Influence

Prof. Hou's influence extends across academia, industry, and national strategy. He has played a pivotal role in China’s "Eastern Data, Western Computing" initiative, contributing to major infrastructure policies. As a National-Level Young Talent and a recipient of top honors like the IEEE Ucom Young Scientist Award and the Science Exploration Award, he has become a driving force in Optical Sensing innovation. His guest editor roles in SCI journals and recognition as a top 10% reviewer worldwide underscore his academic reach. Prof. Hou’s public science lectures such as the RISTA Frontier series that attracted over 22,000 views demonstrate his dedication to scientific dissemination and community engagement.

🏆Academic Cites

Prof. Hou's published works have achieved ESI TOP 1% HIGHLY CITED STATUS multiple times across high-impact journals like IEEE Transactions on Industrial Informatics and IEEE Systems Journal. His best paper accolades, particularly in the realm of Optical Sensing and intelligent diagnosis systems, have solidified his place among the most cited researchers in his field. International patents such as the one co-developed with Huawei highlight the applied value and global relevance of his academic output.

🌟 Legacy and Future Contributions

Prof. Weigang Hou’s legacy is built upon two decades of continuous innovation in Optical Sensing, communication, and computing integration. With his leadership in forming young scholar teams under the NSFC Innovation Research Group, his impact is poised to extend well into the future. He continues to mentor rising talent, as evidenced by his students’ achievements in national and international competitions. His future work promises to explore deeper integrations of optical technologies with artificial intelligence and edge computing creating secure, efficient, and scalable systems for national and global infrastructure.

📘Optical Sensing

Prof. Hou has transformed the landscape of Optical Sensing by bridging theory with practical implementation in large-scale data networks and healthcare systems. His work in Optical Sensing not only addresses long-standing computational bottlenecks but also ensures higher security and energy efficiency in smart grid and communication infrastructures. Through ongoing innovation, Prof. Hou is expected to remain at the forefront of Optical Sensing research, shaping the future of global communication and sensing technologies.

✍️ Notable Publication

📘Nonvolatile optical phase shifter-based coherent neural network accelerator for efficient matrix computations and inference tasks

Journal: Optics and Laser Technology

Year: 2025

Citations: 0

📘CPDM-PCNN: A compact and power efficient photonic Convolutional Neural Network accelerator based on Dual-function Microring Resonators

Journal: Optics and Laser Technology

Year: 2025

Citations: 0

📘A 3–8 decoder of terahertz metamaterials and its sensing application

Journal: Diamond and Related Materials

Year: 2025

Citations: 0

📘Convolutional neural network for detecting fiber-bending eavesdropping attacks in optical communication systems

Journal: Optics Express

Year: 2025

Citations: 0

📘Key Concealment and Distribution Encryption Optical Communication System Based on Amplified Spontaneous Emission Light

Journal: Guangxue Xuebao / Acta Optica Sinica

Year: 2025

Citations: 0

Kishwar Ali – Nanophotonic and Metamaterials Design – Best Researcher Award 

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Mr. Kishwar Ali has demonstrated a consistent commitment to excellence in his academic pursuits in the field of electronics, with a specific interest in Nanophotonic and Metamaterials Design. He completed his Bachelor of Science from the University of the Punjab (2014–2016) with a strong foundation in Physics, Mathematics, and Computer Science. His academic excellence continued at Quaid-i-Azam University, Islamabad, where he completed his Master of Science (2017–2019) and Master of Philosophy (2019–2021) in Electronics, achieving an exceptional CGPA of 3.94 out of 4.0 in his M.Phil. His coursework covered advanced topics such as Wave Propagation, Radar Signal Processing, Quantum Information, and High-Frequency Electromagnetics, setting a robust foundation for his research in Nanophotonic and Metamaterials Design.

💼 Professional Endeavors

Mr. Kishwar Ali has cultivated rich academic and practical experience through his engagement as a Visiting Lecturer at the Department of Electronics, Quaid-i-Azam University, Islamabad, where he taught the Basic Circuit Laboratory course (EL-292). He has also served as General Secretary of the SPIE Chapter at Quaid-i-Azam University, managing technical activities and promoting photonics research. In addition, he contributed as a Teaching Assistant in MATLAB and Python programming workshops and attended several specialized training sessions and international conferences, including Quantum 2020. His professional journey exhibits a strong alignment with Nanophotonic and Metamaterials Design, with a blend of teaching, leadership, and technical engagements.

🔬 Contributions and Research Focus

Kishwar Ali’s primary research contribution lies in his M.Phil. thesis titled “Study of Goos-Hanchen-effect for near-zero-index metamaterials excited by fractional dual fields”. This advanced study aligns with emerging trends in Nanophotonic and Metamaterials Design, focusing on wave-matter interactions in exotic materials. He has shown keen interest in exploring the behavior of electromagnetic waves in complex mediums, which is essential for future innovations in nanophotonics, sensing, and quantum information systems. His participation in workshops like the COMSOL Multiphysics and sessions on nonlinear optics further reinforce his specialized skills and contributions in these cutting-edge domains.

🌍 Impact and Influence

Mr. Ali’s academic and technical involvement has significantly impacted the student and research communities at Quaid-i-Azam University. His leadership as General Secretary of the SPIE Chapter facilitated international collaboration, knowledge exchange, and awareness in emerging optics and electronics technologies. His guidance in student workshops, particularly on programming and simulation software, has nurtured technical skills among peers. By focusing on the intersection of photonics and quantum computing, his work holds promise to influence future advancements in Nanophotonic and Metamaterials Design.

🏆Academic Cites

Though early in his research career, Mr. Kishwar Ali's thesis and workshop involvement indicate his emerging recognition in the academic field. His research on Goos-Hanchen shifts in metamaterials, a novel topic within photonic systems, is poised to contribute to future publications and citations as he progresses in academia. With continued engagement in experimental and theoretical work, his research footprint in Nanophotonic and Metamaterials Design is expected to grow significantly.

🌟 Legacy and Future Contributions

Looking ahead, Mr. Kishwar Ali is well-positioned to make lasting contributions in the realms of electronics, quantum optics, and advanced material design. With his solid academic training, hands-on experience, and leadership in student-led organizations, he is likely to pursue further doctoral research or collaborative projects in Nanophotonic and Metamaterials Design. His legacy will not only be built on academic achievements but also on his efforts to build a strong research culture among his peers and students.

📘Nanophotonic and Metamaterials Design

Mr. Kishwar Ali’s academic path and research highlight significant developments in Nanophotonic and Metamaterials Design, particularly in areas involving wave propagation and electromagnetic interactions in near-zero-index materials. His thesis and technical workshops are directly aligned with the goals of Nanophotonic and Metamaterials Design, paving the way for innovations in photonics and computational modeling. As his career progresses, the realm of Nanophotonic and Metamaterials Design will continue to benefit from his passion and scientific inquiry.

✍️ Notable Publication

📘Goos–Hanchen-effect for near-zero-index metamaterials excited by fractional dual fields

Authors: K. Ali, A.A. Syed, W.I. Waseer, Q.A. Naqvi

Journal: Optik

Year: 2021

Citations: 12

📘Magnetic and fractional parametric control of Goos-Hänchen shifts in the anisotropic yttrium-iron-garnet film surrounded by isotropic fractal dielectric half-spaces

Authors: K. Ali, W.I. Waseer, Q.A. Naqvi

Journal: Physics Letters A

Year: 2022

Citations: 4

📘Enhanced control of the Goos–Hänchen shift at graphene-hyperbolic boron nitride multilayer hyper crystal

Authors: K. Ali, F. Ferranti, F. Frezza, G. Antonini

Journal: Optics & Laser Technology

Year: 2025

Citations: 0

📘Rest-frame quasi-static analysis for a rotating core-shell structure in a fractional dimensional space

Authors: S. Parveen, K. Ali, A. Shahzad, Q.A. Naqvi

Journal: Journal of the Optical Society of America B

Year: 2025

Citations: 0

Guangxuan Song – Graphs in Materials Science – Best Research Article Award  

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Mr. Guangxuan Song began his academic path with a Bachelor's degree in Automation at the University of Science and Technology Beijing (USTB), where he studied from September 2016 to June 2020. His dedication and academic excellence earned him prestigious honors, including the 2017 National Scholarship, 2019 Dean's Medal, and recognition as a 2019 Beijing Outstanding Student. His commitment extended beyond academics into student leadership roles such as Vice President of the Youth League Committee and Head of the News and Publicity Department. These formative years laid a strong foundation for his later research in Knowledge Graphs and Graph Neural Networks for Materials Science.

💼 Professional Endeavors

Currently pursuing a Ph.D. in Control at USTB, Mr. Song has established himself as a promising researcher in Knowledge Graphs and Graph Neural Networks for Materials Science. His work involves pioneering projects supported by major national initiatives such as the National Environmental Corrosion Platform of China, the “Belt and Road” Corrosion Big Data Sharing Platform, and the State Grid Corporation’s corrosion data mining project. In addition, he has participated in building three national-level scientific data platforms, secured six invention patent applications, and holds seven software copyrights.

🔬 Contributions and Research Focus

Mr. Song’s research centers on Knowledge Graphs and Graph Neural Networks for Materials Science, aiming to revolutionize how scientific data is mined and utilized. His work bridges materials science with artificial intelligence, creating intelligent platforms that optimize data correlation, structural understanding, and prediction models. His integration of knowledge graphs with graph neural networks (GNNs) allows for robust material property prediction, failure analysis, and intelligent design essential in modern materials engineering and corrosion prediction of power systems.

🌍 Impact and Influence

Mr. Guangxuan Song’s research has had a significant impact on the convergence of machine learning and material science. His efforts in Knowledge Graphs and Graph Neural Networks for Materials Science have shaped new methodologies for predictive modeling, uncertainty estimation, and scientific data integration. He has also been recognized by tech leaders, being named a Huawei Student Developer in 2021 and a Baidu Lingjing Developer (LLM Applications) in 2023. His cross-disciplinary influence continues to grow, bridging AI, materials science, and real-world engineering applications.

🏆Academic Cites

Although still in the early stages of his Ph.D., Mr. Song's publications and platform contributions have begun to attract academic recognition. His frameworks and research in Knowledge Graphs and Graph Neural Networks for Materials Science are being utilized and cited within Chinese and international academic communities. His contributions, especially to open science infrastructures, have laid the groundwork for a well-cited research portfolio.

🌟 Legacy and Future Contributions

With a trajectory defined by innovation and interdisciplinary excellence, Mr. Guangxuan Song is poised to become a leader in intelligent scientific research systems. His future contributions are expected to include further integration of large language models (LLMs) with scientific databases, enhancement of cross-modal knowledge extraction, and the development of robust AI frameworks for industrial material applications. His involvement in high-profile projects and competitions (e.g., 2021 First Prize in the "Internet+" Beijing Entrepreneurship Competition, 2020 iCAN International Entrepreneurship Global Winner) exemplifies his long-term vision and dedication.

📘Knowledge Graphs and Graph Neural Networks for Materials Science

Through his scholarly and practical work in Knowledge Graphs and Graph Neural Networks for Materials Science, Mr. Song continues to redefine the boundaries of AI-driven material prediction and data integration. His research outputs, professional recognitions, and national-level engagements collectively illustrate his influential role in the evolution of Knowledge Graphs and Graph Neural Networks for Materials Science applications.

✍️ Notable Publication

📘Cross-category prediction of corrosion inhibitor performance based on molecular graph structures via a three-level message passing neural network model

Authors: J. Dai, D. Fu, G. Song, L. Ma, X. Guo, A. Mol, I. Cole, D. Zhang

Journal: Corrosion Science

Year: 2022

Citations: 17

📘From Knowledge Graph Development to Serving Industrial Knowledge Automation: A Review

Authors: G. Song, D. Fu, D. Zhang

Conference: 2022 41st Chinese Control Conference (CCC)

Year: 2022

Citations: 6

📘Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction

Authors: G. Song, D. Fu, Z. Qiu, Z. Yang, J. Dai, L. Ma, D. Zhang

Journal: arXiv preprint

Year: 2023

Citations: 2

📘A Named Entity Extraction Method for Commonly Used Steel Knowledge Graph

Authors: Z. Ma, L. Ma, D. Fu, G. Song, D. Zhang

Book Title: Proceedings of 2021 Chinese Intelligent Systems Conference: Volume III

Year: 2022

Citations: 2

📘Corrosion Resistant Performance Prediction in High-Entropy Alloys: A Framework for Model, Interpretation and Multi-Dimensional Visualization

Authors: G. Song, D. Fu, W. Chang, Z. Fu, L. Ma, D. Zhang

Journal: Corrosion Science

Year: 2025

Citations: 0

📘A Message Passing Neural Network Framework with Learnable PageRank for Author Impact Assessment

Authors: S. Guangxuan (G. Song), D. Fu, X. Wu (Xiaomeng Wu)

Journal: Advances in Electrical & Computer Engineering

Year: 2025

Citations: 0

📘Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data

Authors: G. Song, D. Fu, Z. Qiu, J. Meng, D. Zhang

Journal: arXiv preprint

Year: 2024

Citations: 0

Utkir Uljayev – Physics – Best Innovation Award

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Assistant Professor Dr. Utkir Uljayev began his academic path at the National University of Uzbekistan (2011–2013), where he cultivated a strong foundation in the physical sciences. His early education was focused on physics, chemistry, and their applications in modern technology. He transitioned into teaching shortly after completing his studies, reflecting a deep commitment to knowledge dissemination and scientific development. These early academic pursuits laid the groundwork for his specialization in computational physics and nanotechnology.

💼 Professional Endeavors

Dr. Uljayev’s career reflects a consistent progression through both academia and research. He initially served as a teacher at the Tashkent Institute of Chemical Technology (2013–2016) and then at the Tashkent Institute of Textile and Light Industry (2017–2019). His shift towards dedicated research began with a trainee researcher position at the Uzbekistan Science Academy Institute of Ion-Plasma and Laser Technologies in 2019, followed by his PhD (2021–2023), and eventually his current role as a junior researcher starting in January 2023. Throughout this journey, he has remained deeply engaged in physics, particularly in its intersections with material science and nanotechnology.

🔬 Contributions and Research Focus

Dr. Uljayev’s research is centered around hydrogen-based nanotechnology, material science for hydrogen energy, and simulation techniques such as Molecular Dynamics (MD), Density Functional Theory (DFT), and Monte Carlo methods. His work contributes to sustainable energy research by improving the efficiency of hydrogen storage and conversion materials. By employing cutting-edge simulation techniques, he bridges theory and practical application, demonstrating how physics can solve critical energy problems of the future.

🌍 Impact and Influence

Despite his relatively recent entrance into the research community, Dr. Uljayev’s influence is steadily growing. His expertise in computational physics and chemistry has positioned him as a valuable asset in multidisciplinary research, contributing to Uzbekistan’s expanding role in global scientific innovation. He actively mentors students in elementary and general physics, physical chemistry, and computational methods—extending his influence beyond research into impactful teaching and curriculum development.

ACADEMIC

🏆Academic Cites

As his research publications continue to accumulate, Dr. Uljayev’s work is beginning to gain recognition in the scientific community. His use of physics-based simulations such as MD and DFT methods in material and energy science is contributing to a growing body of literature in the field of nanotechnology and sustainable energy. Continued publication and collaboration are expected to increase his academic citations significantly in the near future.

🌟 Legacy and Future Contributions

Dr. Uljayev’s career trajectory suggests a promising future as a leader in hydrogen energy research and simulation-based material science. His focus on physics education, nanotechnology, and clean energy solutions reflects a commitment to long-term societal and scientific advancement. As he continues to develop new computational models and mentor young researchers, his legacy will be marked by both technological innovation and academic excellence.

📘Physics 

Dr. Utkir Uljayev’s career exemplifies the integration of physics with energy and material sciences. His work in physics-based simulation methods like MD and DFT contributes to solving real-world problems in hydrogen energy. Through teaching, research, and international collaboration, he continues to expand the influence of physics in modern technological and environmental challenges.

✍️ Notable Publication

📘Enhanced Hydrogen Retention in Ni-Filled Carbon Nanotubes at High Temperatures

Journal: Chemical Physics Letters

Year: 2025

Citations: 0

Didier Belobo Belobo – Mathematical Physics – Best Researcher Award

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Dr. Didier Belobo Belobo embarked on his academic journey with a Bachelor’s Degree in Physics from the University of Ngaoundéré, Cameroon, in 2004. Demonstrating early promise in theoretical and applied physics, he went on to earn a Master of Science in Physics from the University of Yaounde I in 2010, with a thesis focused on the Stability of Bose-Einstein Condensates in an Anharmonic Periodic Potential. His academic excellence culminated in a PhD in Physics in 2015 from the same university, specializing in Atom and Radiation. His doctoral research—Dynamics of Matter-Wave Condensates: Effects of Quantum Fluctuations and Three-Body Interatomic Interactions—reflected his growing interest and expertise in Mathematical Physics.

💼 Professional Endeavors

Dr. Belobo has cultivated a diverse and impactful academic career. Currently serving as a Senior Lecturer at the National Advanced School of Engineering, University of Yaounde I, Cameroon (since May 2021), he teaches courses in numerical physics, mechanics, and statics. He previously served as a Lecturer at the same institution and has taught at several other educational institutes, including Université Saint Jean, PREPAVOGT, and the Advanced National Teachers’ Training School of Yaounde. Dr. Belobo is also the Founder and Director of the African Centre for Advanced Studies (ACAS), a hub for research and higher education established in 2017. His commitment to academic mentorship and international collaboration further highlights his role as a leader in the Mathematical Physics community.

🔬 Contributions and Research Focus

Dr. Belobo’s research spans Mathematical Physics, nonlinear optics, Bose-Einstein condensates, and biophysics. His key scientific contributions lie in solving nonlinear partial differential equations and applying these solutions to complex physical systems. He is especially renowned for constructing exact solutions, studying wave dynamics, and investigating pattern formations in active matter. His pioneering work in charge transport in DNA, energy transport in proteins, and solitary waves in spin-orbit coupled condensates has been recognized across international platforms. Notably, his work was featured as the cover image of Biopolymers, volume 111 in March 2020, a testimony to his contributions to mathematical modeling in biophysics.

🌍 Impact and Influence

Dr. Belobo’s influence extends beyond academia to scientific diplomacy, education, and collaborative research. He has been a visiting scientist at the University of Paderborn, Germany, and held research grants from DAAD, TWAS-DFG, and ICTP Trieste. He has contributed to the Max Planck Institute, AIMS South Africa, and international conferences such as Curious2022. His dual-language teaching at AIMS Senegal and engagement in scientific committees highlight his dedication to capacity building in Africa. As a distinguished referee for journals like Journal of Physics A, New Journal of Physics, Optics Communications, and Applied Mathematical Modelling, Dr. Belobo’s scientific rigor continues to shape the future of Mathematical Physics.

🏆Academic Cites

Dr. Belobo’s publications are widely cited in high-impact journals, affirming the depth and relevance of his work in Mathematical Physics. His articles are central to current discourse in nonlinear wave dynamics, spin-orbit interactions, and biophysical modeling. His active peer review roles and editorial contributions further emphasize his standing as a thought leader in the field. Through citations and scholarly engagement, his research continues to influence both theoretical developments and applied innovations across physics and engineering disciplines.

🌟 Legacy and Future Contributions

As Founder of the African Centre for Advanced Studies, Dr. Belobo is laying the groundwork for future generations of African scientists. His leadership in organizing the ACAS School on Numerics, now in its second intake, demonstrates his dedication to fostering advanced training in nonlinear differential equations. His continued participation in international conferences and workshops ensures that his contributions will remain at the cutting edge of Mathematical Physics Dr. Belobo’s vision for collaborative, interdisciplinary, and globally connected African science will shape his legacy for decades to come.

📘Mathematical Physics

Dr. Didier Belobo Belobo has significantly advanced the field of Mathematical Physics through his research on nonlinear wave equations, quantum systems, and active matter. His contributions to Mathematical Physics include exact solutions to complex differential equations and dynamic modeling of biological systems. Through international collaborations and education initiatives, his influence on Mathematical Physics continues to grow, inspiring a new generation of researchers and educators across Africa and beyond.

✍️ Notable Publication

📘Solitary and Jacobi elliptic wave solutions of the generalized Benjamin-Bona-Mahony equation

Authors: D.B. Belobo, T. Das

Journal: Communications in Nonlinear Science and Numerical Simulation

Year: 2017

Citations: 21

📘Dynamics of kink, antikink, bright, generalized Jacobi elliptic function solutions of matter-wave condensates with time-dependent two- and three-body interactions

Authors: D. Belobo Belobo, G.H. Ben-Bolie, T.C. Kofané

Journal: Physical Review E

Year: 2015

Citations: 19

📘Dynamics of matter-wave condensates with time-dependent two- and three-body interactions trapped by a linear potential in the presence of atom gain or loss

Authors: D. Belobo Belobo, G.H. Ben-Bolie, T.C. Kofané

Journal: Physical Review E

Year: 2014

Citations: 15

📘Wave trains generation in a delayed nonlinear response of Bose–Einstein condensates with three-body interactions

Authors: D. Belobo Belobo, G.H. Ben-Bolie, T.B. Ekogo, T.C. Kofané

Journal: International Journal of Theoretical Physics

Year: 2013

Citations: 14

📘Modulational instability of a Bose–Einstein condensate beyond the Fermi pseudopotential with a time-dependent complex potential

Authors: D.B. Belobo, G.H. Ben-Bolie, T.B. Ekogo, C.G. Latchio Tiofack, T.C. Kofané

Journal: International Journal of Modern Physics B

Year: 2012

Citations: 11

📘Hybrid solitary waves for the generalized Kuramoto-Sivashinsky equation

Authors: C.T. Djeumen Tchaho, H.M. Omanda, D. Belobo Belobo

Journal: The European Physical Journal Plus

Year: 2018

Citations: 10

Gengxiang Wang – Granular System – Best Researcher Award

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Prof. Gengxiang Wang's academic journey reflects a steady progression through the mechanical and mechatronic engineering disciplines. Beginning with a college degree in Numerical Control at Shaanxi Aviation Professional Technical Institute (2004–2007), he pursued his Bachelor’s and Master’s degrees in Machinery Design and Mechatronic Engineering, respectively, at Xi'an University of Technology. He earned his Ph.D. in Mechanical Design and Theory in 2017 from the same university. During his Ph.D., he was a visiting scholar at the University of Illinois at Chicago, supported by the China Scholarship Council (2015–2017), where he studied flexible multibody system dynamics a foundational step toward his later expertise in complex mechanical systems, including granular systems.

💼 Professional Endeavors

Prof. Wang has held progressive academic and research positions. After serving as an Assistant Professor at Xi’an University of Technology (2017–2019), he joined Peking University as a postdoctoral researcher (2020–2022) under the prestigious “Boya Plan,” where his focus was on impact mechanics. Since 2022, he has been an Associate Professor at Xi’an University of Architecture and Technology, and as of October 2023, he is a Marie Skłodowska-Curie Postdoctoral Fellow at the University of Exeter, UK. His current work delves into microrobot dynamics, but it builds upon his foundation in system dynamics, flexible mechanisms, and interaction mechanics in granular systems.

🔬 Contributions and Research Focus

Prof. Wang’s research contributions lie at the intersection of mechanical design, multibody dynamics, flexible mechanisms, and granular system modeling. His doctoral work on the dynamics of 4-DOF parallel mechanisms, including joint effects and flexibility, earned the Excellent Doctoral Dissertation Award of Shaanxi Province. He has made significant contributions in improving viscoelastic contact force models based on Hertz’s law vital for accurately modeling particle-particle interactions in granular systems. His expertise extends to robotic mechanisms and impact phenomena, where he integrates high-precision modeling with practical mechanical design.

🌍 Impact and Influence

Prof. Gengxiang Wang has gained considerable recognition for his academic and scientific achievements. His research on improved viscoelastic models in multibody systems has become widely cited and influential, particularly in the context of granular systems and collision mechanics. The Second Prize in the Science and Technology Award of Shaanxi Province (2018) further validates his practical contributions. His academic work is followed not only in China but internationally, through his fellowship in the UK and earlier collaborations in the U.S., highlighting a global reach.

🏆Academic Cites

Prof. Wang’s body of published work especially in system dynamics and impact mechanics—has been cited extensively in high-impact journals and conference proceedings. His models and methods are frequently used in the simulation of granular systems, robotic dynamics, and contact mechanics, testifying to their relevance and robustness. The citation of his doctoral research and his featured publications in leading academic platforms demonstrate his significant academic presence.

🌟 Legacy and Future Contributions

As Prof. Wang continues his research through the Marie Skłodowska-Curie Fellowship, he is expected to make further contributions in the fields of microrobotics, impact modeling, and granular systems. His interdisciplinary approach bridging mechanics, control, and computational modelingpromises innovations in both theoretical and applied domains. With ongoing collaborations across continents and mentoring of emerging researchers, Prof. Wang is poised to leave a long-lasting legacy in multibody dynamics and mechanical systems design.

📘Granular System

Prof. Gengxiang Wang's research has made transformative impacts on the simulation and modeling of granular systems, particularly through his work on viscoelastic contact models and multibody dynamics. His advancements are now fundamental in granular system impact studies, helping design more accurate robotic and mechanical applications. With his continued focus on granular system behavior under dynamic loads, his contributions are shaping the next frontier of mechanical engineering research.

✍️ Notable Publication

✍️ Optimal damping factors explored for eliminating nonphysical attraction forces from viscous contact models used in cohesionless granular system

Journal: Communications in Nonlinear Science and Numerical Simulation

Year: 2025

Citations: 0

✍️  A novel semi-analytical coefficient of restitution model based on new characteristics length and time for the nonlinear colliding viscoelastic particles

Journal: Mechanical Systems and Signal Processing

Year: 2025

Citations: 1

✍️ Investigation on impact behavior with viscous damping and tensile force inspired by Kelvin-Voigt model in granular system

Journal: Mechanical Systems and Signal Processing

Year: 2025

Citations: 1

✍️ Two novel semi-analytical coefficients of restitution models suited for nonlinear impact behavior in granular systems

Journal: Powder Technology

Year: 2025

Citations: 2

Yuanyuan Li – Optical Image Processing – Best Researcher Award 

Posted on by AMO Physics

Dr. Yuanyuan Li began her academic journey in Computer Science and Technology at Qufu Normal University from 2015 to 2019, where she laid a strong foundation in computational methods and algorithmic thinking. Driven by a passion for image processing and enhancement, she pursued her Master’s degree at Dalian Maritime University (a prestigious “211” project university) from 2019 to 2022, specializing in Image Enhancement. Her exceptional performance earned her a Master’s degree with an impressive average score of 94.52, along with distinctions such as the “Outstanding Graduate Student” honor, a National Scholarship, and recognition for an outstanding master's thesis. She is currently continuing her academic journey with a PhD at Dalian Maritime University, with a continued focus on Image Enhancement in the field of Optical Image Processing.

💼 Professional Endeavors

Throughout her academic and research career, Dr. Li has engaged in cutting-edge research in Optical Image Processing, particularly focused on underwater image enhancement. Her professional endeavors include the co-invention of five patented technologies and significant contributions to national research projects such as the National Natural Science Foundation of China project on underwater small target perception, led by Fu Xianping. In this project, she played a critical role in exploring bionic vision systems for enhancing underwater image perception, blending theoretical depth with practical innovation.

🔬 Contributions and Research Focus

Dr. Yuanyuan Li’s research contributions are deeply rooted in Optical Image Processing, particularly emphasizing underwater image enhancement through deep learning, multi-attention mechanisms, and diffusion models. She has authored several high-impact publications in top-tier journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, Optics and Lasers in Engineering, and IEEE Journal of Oceanic Engineering. Notable works include:

  • "TAFormer: A Transmission-Aware Transformer for Underwater Image Enhancement", highlighting novel transformer architectures tailored for image restoration.

  • "Underwater optical image enhancement via an unsupervised contrastive learning-guided diffusion model", showcasing pioneering efforts in self-supervised learning.

  • "Multiframe-to-multiframe network for underwater unpaired video enhancement", advancing the frontiers of video-based enhancement in optical domains.

Her patents, such as the Brightness Mask Guided Multi-Attention Mechanism, reflect her contribution to practical implementations in Optical Image Processing systems.

🌍 Impact and Influence

Dr. Li’s work is reshaping how Optical Image Processing is applied in underwater environments, directly influencing AUV (Autonomous Underwater Vehicle) operations, marine exploration, and UUV (Unmanned Underwater Vehicle) navigation. Her research not only offers theoretical models but also deployable algorithms for real-world underwater imaging challenges. As a second or third inventor on multiple patented methods, she demonstrates both academic innovation and translational impact. Her models are particularly crucial for improving clarity and accuracy in optical images subjected to challenging lighting and distortion conditions underwater.

🏆Academic Cites

Dr. Yuanyuan Li’s scholarly output has been recognized and cited across the global research community. Her articles in IEEE and Elsevier journals have received growing citations, confirming the value and applicability of her research in Optical Image Processing. These citations reflect her reputation as an emerging leader in the field, with contributions that bridge deep learning, vision science, and underwater robotics.

🌟 Legacy and Future Contributions

With a consistent record of academic excellence, national recognition, and scientific creativity, Dr. Li is poised to become a future leader in Optical Image Processing and underwater imaging systems. Her legacy will be marked by the practical translation of AI and deep learning techniques into tools that improve image quality in extreme visual environments. As she progresses through her doctoral studies, she is expected to pioneer further developments in transformer-based imaging architectures and unsupervised learning models, particularly in under-researched domains like underwater and low-light optical image environments.

📘Optical Image Processing

Dr. Yuanyuan Li’s innovative work in optical image processing has led to transformative breakthroughs in underwater enhancement systems. Her studies on optical image processing methods, such as transformer models and diffusion-guided learning, have advanced image clarity in marine environments. Her contributions continue to define the future of optical image processing, particularly in applications requiring robust image recovery under severe distortion and low visibility.

✍️ Notable Publication

Underwater optical image enhancement via an unsupervised contrastive learning-guided diffusion model

Journal: Optics and Lasers in Engineering

Year: 2025

Citations: 0

Multiframe-to-multiframe network for underwater unpaired video enhancement

Journal: Displays

Year: 2025

Citations: 1

A Vignetting-Correction-Based Underwater Image Enhancement Method for AUV With Artificial Light

Journal: IEEE Journal of Oceanic Engineering

Year: 2025

Citations: 0

Ji Hun Kim – Laser Micromachining and Measurement – Best Researcher Award

Posted on by AMO Physics

Mr. Ji Hun Kim began his academic journey at the Seoul National University of Science and Technology, South Korea, where he completed his B.S., M.S., and is currently pursuing a Ph.D. His consistent academic trajectory within the same institution reflects his deepening specialization and dedication to advanced engineering sciences. His master's research laid the groundwork for his later accomplishments in Laser micromachining and measurement, with a strong emphasis on optical systems and thermal effects. His outstanding academic performance has earned him multiple awards for academic excellence from prestigious Korean engineering societies such as KSMPE and KSMTE.

💼 Professional Endeavors

Alongside his academic development, Mr. Kim has been involved in impactful industrial roles. As a Junior Research Engineer at MTG Inc. (2020–2022), he worked on anechoic chamber design for the defense industry. Later, as a Research Associate at Sensor Tech Inc., he contributed to the design of chemical detection devices also for defense applications. These experiences bridged academic theory with practical, industry-oriented solutions. His dual exposure to academic research and industrial innovation supports his current work on advanced Laser micromachining and measurement systems, blending real-world utility with cutting-edge theoretical models.

🔬 Contributions and Research Focus

Mr. Kim’s primary research focus is on laser-based optical systems, particularly modeling thermal aberrations that affect beam quality. His contributions include developing combined experimental-computational models to predict and control refractive index gradients and thermomechanical deformation in optical materials. This work, directly relevant to Laser micromachining and measurement, has significantly improved system thermal stability and accuracy in high-precision laser manufacturing. His models have been validated through industry collaborations and adopted in real-world defense and manufacturing projects, showcasing their technological impact and versatility.

🌍 Impact and Influence

Mr. Ji Hun Kim’s research is not only theoretical but also transformative in industrial settings. One of his models was successfully implemented in an industry-supported project, confirming its practical applicability. His work has been recognized with numerous awards, including the Best Award for Academic Excellence from KSMPE in both 2023 and 2025. These honors affirm his growing reputation in Laser micromachining and measurement. Furthermore, his achievements have positioned him as a rising scholar in South Korea’s scientific and engineering communities, particularly in the domains of defense technology and laser diagnostics.

🏆Academic Cites

Mr. Kim’s findings have been published in SCI-indexed journals, contributing to the global body of knowledge in optical engineering. His research on thermally induced distortions in optics is frequently cited by scholars in Laser micromachining and measurement, reflecting its technical importance and academic value. These citations validate his work's originality and relevance, especially in the field of high-precision laser applications and materials diagnostics.

🌟 Legacy and Future Contributions

Mr. Ji Hun Kim’s ongoing Ph.D. research and industrial collaborations are likely to shape the future of Laser micromachining and measurement technologies. His predictive models have set a new standard for thermal stability in laser optics, and he is expected to contribute further innovations in areas such as optical diagnostics, smart manufacturing, and defense systems. As he continues to integrate theoretical modeling with industrial applications, his legacy will include a new generation of more accurate, stable, and efficient laser systems. His future work will likely strengthen South Korea’s position in advanced laser manufacturing technologies on the global stage.

📘Laser Micromachining and Measurement

Mr. Ji Hun Kim’s research excellence in Laser micromachining and measurement has produced advanced thermal models improving optical performance. His innovations in Laser micromachining and measurement are being integrated into industrial applications, setting new standards for precision. As his work evolves, the field of Laser micromachining and measurement is poised to benefit from his continued academic and technical leadership.

✍️ Notable Publication

 High-Performance Solution Processable Red TADF-OLED with External Quantum Efficiency Exceeding 28% Using a Multi-Resonance Emitter Host

Journal: Advanced Materials

Year: 2025

Citations: 2

 Enhancing Bond Strength Between Carbon Fiber Reinforced Thermoplastic and Aluminum Alloys Through Laser Surface Treatment

Journal: International Journal of Precision Engineering and Manufacturing Green Technology

Year: 2025

Citations: 0

Yulin Wang – Underwater image imaging optical model – Best Researcher Award  

Posted on by AMO Physics

Dr. Yulin Wang - Underwater image imaging optical model - Best Researcher Award  

Dalian Maritime University - China

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Yulin Wang began his academic journey in Mathematics and Applied Mathematics at Luliang University (2015–2019), where he built a strong theoretical foundation. He continued his postgraduate studies at the Department of Mathematics, Faculty of Science, Dalian Maritime University (2019–2022), earning his Master's degree. Currently, he is pursuing a PhD in Computer Science and Technology at the same institution. His academic trajectory shows a seamless blend of theoretical rigor and applied innovation, especially in the realm of Underwater image imaging optical model systems.

💼 Professional Endeavors

Guided by Professor Fu Xianping, Dr. Wang has focused extensively on the development of underwater fishing robots and their visual systems. His research spans several key technologies such as Underwater image Augmentation, low-rank matrix recovery, and enhancement of underwater polarization images. He has also contributed actively to several major national-level research projects funded by the National Natural Science Foundation of China and the Ministry of Industry and Information Technology, with a special focus on underwater vision and Underwater image imaging optical model enhancement for both robotics and human-aid technologies.

🔬 Contributions and Research Focus

Dr. Yulin Wang has made several notable contributions as the first author of high-impact journal papers accepted in Q1 and Q2 journals, including IEEE Transactions on Circuits and Systems for Video Technology and Optics and Lasers in Engineering. His primary research focuses on Underwater image imaging optical model optimization using techniques like binary polynomial regularization, latent low-rank representation, and polarization tensor models. His innovative work in enhancing the quality and usability of underwater images has resulted in three national patents and numerous accolades in underwater robotics competitions and AI conferences.

🌍 Impact and Influence

Dr. Wang’s work holds substantial value in fields such as oceanography, marine robotics, and environmental monitoring. His algorithms and imaging models significantly improve visual clarity in underwater conditions, which are typically degraded by low light, turbidity, and vignetting. The impact of his research is felt both academically through high citation potential and practically, in the design of Underwater image imaging optical model systems for robots and visual assistance devices for the visually impaired. His awards in national competitions and best report recognition at CSAI 2020 underscore his technical excellence and influence.

🏆Academic Cites

As a prolific first author, Dr. Wang’s work has already gained recognition in top-tier journals, indicating strong potential for academic citation and scholarly impact. His publications on Underwater image imaging optical model optimization and low-rank matrix recovery have laid a robust foundation for future research in intelligent vision systems for underwater exploration and human-machine collaboration in challenging visual environments.

🌟 Legacy and Future Contributions

Dr. Yulin Wang is poised to leave a lasting legacy in the interdisciplinary field of underwater robotics and computational imaging. His future contributions are expected to expand the boundaries of Underwater image imaging optical model applications from enhancing robotic autonomy in marine environments to developing assistive technologies for human use. With a strong academic foundation, active project involvement, and an innovative mindset, he is well-positioned to lead the next wave of research in intelligent underwater vision and image enhancement technologies.

📘Underwater image imaging optical model

Dr. Yulin Wang’s innovative work in Underwater image imaging optical model enhances visibility and image processing accuracy in submerged environments. Through low-rank recovery, polarization modeling, and dark channel correction, his research addresses critical challenges in this domain. As a pioneer in Underwater image imaging optical model, his patents, publications, and projects exemplify the next frontier of underwater vision systems.

✍️ Notable Publication

Title: TAFormer: A Transmission-Aware Transformer for Underwater Image Enhancement

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2025

Citations: 8