Lei Liu | Engineering | Best Researcher Award

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Prof. Lei Liu | Engineering | Best Researcher Award

Professor at Zhejiang University, China

Prof. Liu Lei is a Young Profenications, information theory, and signal processing. Liu received his Ph.D. in Communication and Information Systems from Xidian University and enriched his academic foundation as a visiting scholar at NTU Singapore. His postdoctoral and research appointments span SUTD, CityU Hong Kong, and JAIST Japan. Honored under ZJUโ€™s Hundred Talents Program, he actively leads in editorial and conference roles. With a track record of cutting-edge research, Prof. Liu has authored 39+ high-impact journal articles and continues to influence future innovations in modern channel coding and massive MIMO. ๐Ÿง ๐Ÿ“ก

Professional Profileย 

๐ŸŽ“ Education

Prof. Liu Lei began his academic journey in 2011 at Xidian University, earning his Ph.D. in Communication and Information System in March 2017. During his doctoral studies, he broadened his expertise with a prestigious exchange opportunity at Nanyang Technological University (NTU), Singapore (2014โ€“2016), where he engaged with globally renowned researchers in the field of Electrical and Electronic Engineering. This international exposure shaped his foundational understanding of statistical signal processing and message-passing algorithms. His academic pursuits combined rigorous theoretical knowledge with practical algorithmic development, laying the groundwork for his future innovations in wireless communication systems and information theory. ๐Ÿ“˜๐ŸŒ๐ŸŽ“

๐Ÿ’ผExperienceย 

Prof. Liu Lei has cultivated a rich academic career across leading global institutions. He began as a Postdoctoral Research Fellow at SUTD, Singapore (2016โ€“2017), followed by a Research Fellow role at City University of Hong Kong (2017โ€“2019). He then served as Assistant Professor at JAIST, Japan (2019โ€“2023), achieving top research rankings among faculty. Since 2023, he has been a Tenure-Track Young Professor and Doctoral Supervisor at Zhejiang University. His expertise spans message passing, compressed sensing, and channel coding. Prof. Liu has been active in IEEE conferences, serving in key editorial and chairing roles, and is a notable reviewer for top-tier journals. ๐ŸŒ๐Ÿ“š๐Ÿซ

๐Ÿ† Awards & Honors

Prof. Liu Lei has received several prestigious accolades for his research excellence. In 2023, he was honored with the Young Star Award and the Best Poster Award at the 30th Chinese Institute of Electronics Conference on Information Theory (CIEIT), recognizing his impactful contributions to information theory. His dedication to academic rigor earned him the Exemplary Reviewer Award from IEEE Transactions on Communications in 2020, an honor bestowed on less than 2% of reviewers. These distinctions underscore his leadership in developing cutting-edge algorithms and his commitment to advancing wireless communication systems. ๐Ÿฅ‡๐ŸŽ–๏ธ๐Ÿ…

๐Ÿ”ฌ Research Focusย 

Prof. Liuโ€™s research focuses on the development of high-performance algorithms and theoretical frameworks in wireless communications. His interests include Message Passing Theory, Statistical Signal Processing, Compressed Sensing, Modern Channel Coding, and Information Theory. He is especially noted for innovations in Approximate Message Passing (AMP) and Orthogonal AMP (OAMP) algorithms. His work aims to optimize capacity and performance in massive MIMO, NOMA, and RIS-aided systems. Prof. Liu’s vision integrates theoretical depth with engineering applications, contributing to next-generation communication systems with greater efficiency, robustness, and scalability. ๐Ÿ“ก๐Ÿ“Š๐Ÿ”

๐Ÿ› ๏ธ Skillsย 

Prof. Liu Lei has extensive expertise in ๐Ÿ“ถ wireless communication, particularly in emerging technologies such as massive MIMO, NOMA, mmWave, and Integrated Sensing and Communication (ISAC) systems. His work contributes to optimizing spectral efficiency and network reliability in next-generation wireless networks.

In the field of ๐Ÿ“ signal processing, he is highly skilled in compressed sensing and advanced channel estimation techniques, which enhance data recovery and transmission accuracy in complex environments.

His foundation in ๐Ÿ“Š information theory is robust, focusing on coding theory, achievable rates, and capacity optimization, all critical to efficient communication system design.

Prof. Liu is also a specialist in ๐Ÿงฎ message passing algorithms, including AMP, OAMP, GAMP, and GVAMP, which he applies to both theoretical models and practical systems.

He leverages ๐Ÿ”— machine learning tools such as neural networks and variational inference to improve signal decoding.

In addition, he is experienced in ๐Ÿ“š academic publishing and ๐Ÿง‘โ€๐Ÿซ teaching, mentoring students in both foundational and advanced courses.

๐Ÿ“š Publications Top Noteย 

  1. Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: C. Huang, L. Liu, C. Yuen, S. Sun

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Signal Processing

    • ๐Ÿ”ข Citations: 161

    • ๐Ÿ“… Year: 2018

  2. Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, Y. Chi, C. Yuen, Y.L. Guan, Y. Li

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Signal Processing

    • ๐Ÿ”ข Citations: 151

    • ๐Ÿ“… Year: 2019

  3. User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled IoT

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, Y.L. Guan

    • ๐Ÿ“ฐ Journal: IEEE Internet of Things Journal

    • ๐Ÿ”ข Citations: 149

    • ๐Ÿ“… Year: 2020

  4. Gaussian Message Passing for Overloaded Massive MIMO-NOMA

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, C. Huang

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 140

    • ๐Ÿ“… Year: 2019

  5. Convergence Analysis and Assurance for Gaussian Message Passing in Massive MU-MIMO Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, Y. Su

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 108

    • ๐Ÿ“… Year: 2016

  6. Practical MIMO-NOMA: Low Complexity and Capacity-Approaching Solution

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Y. Chi, L. Liu, G. Song, C. Yuen, Y.L. Guan, Y. Li

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 84

    • ๐Ÿ“… Year: 2018

  7. Memory AMP

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, S. Huang, B.M. Kurkoski

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Information Theory

    • ๐Ÿ”ข Citations: 83

    • ๐Ÿ“… Year: 2022

  8. Orthogonal AMP for Massive Access in Channels with Spatial and Temporal Correlations

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Y. Cheng, L. Liu, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Journal on Selected Areas in Communications

    • ๐Ÿ”ข Citations: 68

    • ๐Ÿ“… Year: 2021

  9. Capacity Optimality of AMP in Coded Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Liang, J. Ma, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Information Theory

    • ๐Ÿ”ข Citations: 53

    • ๐Ÿ“… Year: 2021

  10. On Orthogonal AMP in Coded Linear Vector Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: J. Ma, L. Liu, X. Yuan, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 39

    • ๐Ÿ“… Year: 2019

  11. A New Insight into GAMP and AMP

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, Y. Li, C. Huang, C. Yuen, Y.L. Guan

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Vehicular Technology

    • ๐Ÿ”ข Citations: 31

    • ๐Ÿ“… Year: 2019

  12. Over-the-Air Implementation of Uplink NOMA

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: S. Abeywickrama, L. Liu, Y.C. Yuhao, Chi

    • ๐Ÿ“ฐ Conference: IEEE Globecom

    • ๐Ÿ”ข Citations: 31

    • ๐Ÿ“… Year: 2018

  13. Asymptotically Optimal Estimation for Sparse Signal with Arbitrary Distributions

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: C. Huang, L. Liu, C. Yuen

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Vehicular Technology

    • ๐Ÿ”ข Citations: 28

    • ๐Ÿ“… Year: 2018

๐Ÿ Conclusion

Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

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Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Associate Researcher at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China

Dr. Jian Chen ๐ŸŽ“, an accomplished Associate Research Fellow at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences ๐Ÿ›๏ธ, brings over 20 years of rigorous academic and professional experience. With a steadfast foundation in Communication Engineering and a doctorate in Mechanical and Electrical Engineering, Dr. Chen has contributed extensively to the scientific community ๐Ÿ“š. His scholarly portfolio includes 39 academic articles, 3 granted patents ๐Ÿง ๐Ÿ”ง, and active participation as an editorial board member and reviewer for 25 prominent journals, including SCI and EI indexed publications ๐ŸŒ. His consistent commitment to research, innovation, and peer-review excellence marks him as a dedicated scholar in the field of optics and fine mechanics. His career trajectory is a testimony to persistence, insight, and global scientific collaboration ๐ŸŒŸ.

Professional Profileย 

ORCID Profile

๐ŸŽ“ Education

Dr. Jian Chen’s academic journey ๐ŸŒฑ began at Jilin University, where he pursued both his Bachelor’s (2001โ€“2005) and Master’s (2005โ€“2007) degrees in Communication Engineering ๐Ÿ›ฐ๏ธ. Driven by a passion for applied science, he later obtained his Doctorate in Mechanical and Electrical Engineering from the University of Chinese Academy of Sciences (2011โ€“2014) โš™๏ธ. His studies reflect a rare combination of precision communication systems and multi-disciplinary engineering expertise ๐Ÿง . This robust academic progression laid the intellectual groundwork for his future research in optics, electromechanics, and fine instrumentation. The strong theoretical foundations combined with practical insight enabled him to tackle cutting-edge challenges in optics and engineering technologies with a holistic mindset ๐Ÿ“˜๐Ÿ”ฌ.

๐Ÿง‘โ€๐Ÿ”ฌ Professional Experience

Since 2007, Jian Chen has served as an Associate Research Fellow at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, CAS ๐Ÿข. Over 14 years, he has cultivated deep expertise in electromechanical systems, optical instrumentation, and advanced mechanics ๐Ÿ’ก. His work is not just academic; it holds tangible value, evidenced by his 3 granted patents ๐Ÿ”๐Ÿ“‘. Dr. Chen also stands out as a peer-review gatekeeperโ€”serving on the editorial boards of 25 respected journals, including those indexed by SCI and EI ๐Ÿงพ๐Ÿ“–. His research environment fosters both independent innovation and collaborative exploration, positioning him as a central contributor to Chinaโ€™s optics and precision mechanics research domain ๐Ÿ”ง๐ŸŒ.

๐Ÿ”ฌ Research Interest

Jian Chenโ€™s research interests orbit around the convergence of optics, mechanical design, and electrical systems ๐Ÿ”ญโš™๏ธ. His studies delve into fine optical mechanics, signal processing, and advanced instrumentation, where accuracy meets innovation ๐Ÿ’ก๐Ÿ”ง. He has a keen focus on integrating communication systems with mechanical-electrical interfaces, aiming to improve efficiency, precision, and reliability across applied research platforms ๐Ÿ“ก๐Ÿ”. Through over 39 academic publications and patent filings, he continually addresses real-world problems with scientifically grounded solutions. His passion lies in turning theoretical concepts into functional technologies, especially those impacting optics and information transfer systems ๐Ÿš€. Dr. Chen’s vision includes pushing boundaries in smart optical devices and advancing China’s high-tech research infrastructure ๐Ÿ“ˆ.

๐Ÿ† Award and Honor

With a track record of consistent scholarly output, Jian Chen has earned high regard in his field ๐ŸŒŸ. His appointment as an Editorial Board Member and reviewer for 25 journals, including SCI and EI indexed ones ๐Ÿ…๐Ÿ“˜, speaks volumes about his recognition in the global academic community. This role is both prestigious and demanding, requiring sharp insight, peer leadership, and deep subject-matter expertise ๐Ÿง โœ’๏ธ. The successful granting of 3 patents in his field further confirms his inventive spirit and commitment to practical innovation. While specific awards are not listed, the honors bestowed upon him through editorial responsibilities, patents, and research publications reflect a career shaped by excellence, discipline, and global relevance ๐Ÿงฌ๐Ÿ•Š๏ธ.

Publications Top Notes

1. Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection

This paper introduces a multihop anchor-free network designed to detect tiny infrared targets in complex backgrounds. The proposed method employs a tolerance-adjustable measure to enhance detection accuracy without relying on predefined anchor points. This approach improves the detection of small targets that are easily obscured by background noise.

2. A Novel Equivalent Combined Control Architecture for Electro-Optical Equipment: Performance and Robustness

This study proposes a novel equivalent composite control structure for electro-optical equipment. The architecture aims to balance tracking performance and robustness by adjusting the time coefficient of the compensation loop. The paper analyzes the impact of this adjustment on system dynamics, providing insights into optimizing performance without compromising stability.

3. CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

This paper presents CA-U2-Net, an enhanced version of U2-Net tailored for detecting infrared dim and small targets. By integrating contour detection and attention mechanisms, the model achieves a detection rate of 97.17%, maintaining accurate target shapes even in challenging conditions.

4. A POCS Super Resolution Restoration Algorithm Based on BM3D

This research combines the Projection Onto Convex Sets (POCS) method with BM3D filtering to enhance super-resolution image restoration. The approach addresses the noise sensitivity of traditional POCS by incorporating BM3D’s denoising capabilities, resulting in improved restoration quality for low-resolution images affected by various noise types.

๐Ÿงพ Conclusion

Dr. Jian Chenโ€™s career is a synthesis of academic strength, research innovation, and peer leadership ๐Ÿ“š๐ŸŒŸ. From earning degrees in communication and electromechanical engineering to publishing influential papers and contributing patented solutions, his journey underscores a rare dedication to the advancement of science and technology ๐ŸŒ. His service as a reviewer and editor across 25 journals illustrates not only his expertise but also the respect he commands among peers. Jian Chen exemplifies what it means to be a scholar-practitionerโ€”someone who not only explores ideas but also brings them to life ๐Ÿ”ฌ๐Ÿ’ก. With two decades of impact in optics and mechanical systems, his legacy is both intellectual and tangible, influencing future researchers and technologies across the globe ๐ŸŒ๐Ÿ“ˆ.

Elลผbieta Jarzฤ™bowska | Engineering | Best Researcher Award

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Prof. Elลผbieta Jarzฤ™bowska | Engineering | Best Researcher Award

Prof. Elลผbieta Jarzฤ™bowska at Warsaw University of Technology, Poland

Prof. Elลผbieta M. Jarzฤ™bowska ๐Ÿ‡ต๐Ÿ‡ฑ is a distinguished academic at the Warsaw University of Technology ๐Ÿซ, serving in the Institute of Aeronautics and Applied Mechanics โœˆ๏ธ. With a strong foundation in mechanical engineering โš™๏ธ, her research spans multibody systems dynamics, nonlinear and geometric control ๐Ÿง , and robotics ๐Ÿค–, including UAVs and space systems ๐Ÿš€. She has contributed to major international projects in the USA ๐Ÿ‡บ๐Ÿ‡ธ and UK ๐Ÿ‡ฌ๐Ÿ‡ง, working with Ford Motor Company ๐Ÿš— and Cranfield University ๐ŸŽ“. Author of 150+ papers ๐Ÿ“š, she is also a dedicated editor ๐Ÿ“ and member of top engineering societies like ASME and IFToMM ๐ŸŒ.

Professional Profile:

Orcid

scopus

Google Scholar

๐Ÿ”น Education and Experienceย 

๐ŸŽ“ Education

  • ๐Ÿง  B.S., M.S., Ph.D., D.Sc. in Mechanical Engineering from Warsaw University of Technology

  • ๐Ÿ“š Specialization in control and mechanics of constrained systems

๐Ÿ’ผ Experience

  • ๐Ÿซ Professor at Warsaw University of Technology

  • ๐Ÿš— Researcher at Ford Motor Company Research Laboratories, Dearborn, MI, USA

  • ๐Ÿ”ง Collaborator with Engineering Research Centre for Reconfigurable Machining Systems, University of Michigan

  • ๐ŸŽ“ Visiting researcher at Cranfield University, UK

  • ๐ŸŒ Member of Polish Academy of Sciences Committee of Mechanics, ASME, and IFToMM

๐Ÿ”น Professional Developmentย 

Prof. Jarzฤ™bowska has demonstrated exceptional growth through global collaboration ๐ŸŒ, engaging in cutting-edge research in the US and UK. Her work with Ford Motor Company ๐Ÿš™ and the University of Michigan ๐Ÿงช enhanced her real-world application of dynamic modeling and control theories. As an academic, she consistently contributes to curriculum development ๐Ÿ“–, authorship, and editorial roles for high-impact journals ๐Ÿ“. Her active involvement in ASME, IFToMM, and Polish scientific communities ๐Ÿ’ผ showcases her commitment to lifelong learning and interdisciplinary exchange ๐Ÿ”„. She mentors young researchers ๐ŸŽ“ and advances mechanical control theory with every step ๐Ÿš€.

๐Ÿ”น Research Focusย 

Prof. Jarzฤ™bowskaโ€™s research focuses on the modeling, dynamics, and control of multibody systems โš™๏ธ, particularly those with constraints such as nonholonomic and underactuated systems ๐Ÿ”. Her expertise extends to nonlinear and optimal control methods ๐Ÿง  applied to advanced robotic ๐Ÿค–, aerospace โœˆ๏ธ, space ๐Ÿš€, and underwater systems ๐ŸŒŠ. Her work also involves geometric control theory ๐Ÿ“ and its integration into real-world applications like UAVs ๐Ÿ›ธ and intelligent machines. By bridging fundamental theory with practical implementation ๐Ÿ”ง, she addresses challenges in dynamic optimization, system stability, and intelligent control architectures across complex mechanical platforms ๐ŸŒ.

๐Ÿ”น Awards and Honorsย 

๐Ÿ… Member, Committee of Mechanics, Polish Academy of Sciences
๐ŸŽ–๏ธ Associate Editor, Journal of Theoretical and Applied Mechanics
๐Ÿ… Associate Editor, ASME Journal of Computational and Nonlinear Dynamics
๐Ÿ… Associate Editor, Journal of Nonlinear Complex and Data Science
๐Ÿ“˜ Author of a monograph and numerous educational resources in mechanics
๐Ÿ“š Published over 150 research papers in international journals

Publication Top Notes

1. Application of Electroless Deposition for Surface Modification of the Multiwall Carbon Nanotubes

  • Journal: Chemical Physics Letters

  • Year: 2018

  • DOI: 10.1016/j.cplett.2018.04.056

  • Focus: Surface modification using electroless techniques applied to multiwall carbon nanotubes.

2. Hydrogen Disproportionation Phase Diagram and Magnetic Properties for Ndโ‚โ‚…Feโ‚‡โ‚‰Bโ‚† Alloy

  • Journal: Journal of Rare Earths

  • Year: 2016

  • DOI: 10.1016/S1002-0721(16)60104-7

  • Focus: Thermodynamic and magnetic properties of a rare earth alloy involving hydrogen interactions.

3. Influence of Stirring Conditions on Ni/Alโ‚‚Oโ‚ƒ Nanocomposite Coatings

4. TEM & AFM – Complementary Techniques for Structural Characterization of Nanobainitic Steel

  • Journal: Archives of Metallurgy and Materials

  • Year: 2015

  • DOI: 10.1515/amm-2015-0278

  • Focus: Use of microscopy techniques to analyze nanobainitic steels.

5. Characterization of Nanobainitic Structure in 100CrMnSi6-4 Steel After Industrial Heat Treatment

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0278

  • Focus: Microstructural evolution in high-strength steels after specific thermal treatments.

6. Influence of Milling Media on Mechanically Exfoliated MoSโ‚‚

  • Journal: Nanomaterials and Nanotechnology

  • Year: 2014

  • DOI: 10.5772/59903

  • Focus: Impact of milling conditions on the exfoliation efficiency of molybdenum disulfide.

7. Measurements of Strain in AlGaN/GaN HEMT Structures Grown by Plasma-Assisted MBE

  • Journal: Journal of Crystal Growth

  • Year: 2014

  • DOI: 10.1016/j.jcrysgro.2014.01.061

  • Focus: Strain analysis in GaN-based high-electron-mobility transistors using molecular beam epitaxy.

8. Nanobainitic Structure Recognition and Characterization Using Transmission Electron Microscopy

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0277

  • Focus: Characterization of nanostructured steels via TEM.

9. HRTEM and LACBED of Zigzag Boundaries in GaN Epilayers

10. Identification of Phases in Alloy Steels After Quenching and Isothermal Quenching

Conclusion:

Prof. Elลผbieta M. Jarzฤ™bowska stands out as a globally recognized, multidisciplinary researcher whose academic rigor, innovative contributions, and international impact make her an excellent candidate for the Best Researcher Award. Her blend of theoretical advancement and engineering application supports the highest standards of research excellence.

Ali Darvish Falehi | Engineering | Excellence in Researcher Award

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Assoc. Prof. Dr. Ali Darvish Falehi | Engineering | Excellence in Researcher Award

Dr. Darvish Falehi at Islamic Azad University, Iran

Ali Darvish Falehi is a distinguished academic and professional in the field of Electrical Power Engineering. With a Ph.D. and Post-Ph.D. from Shahid Beheshti University, he ranks among the worldโ€™s top 2% scientists as listed by Stanford University in 2020. He is currently an Assistant Professor at Iran Islamic Azad University, a technical expert at Iran North Drilling Company, and the Chairman of the R&D Board at HICOBI Company. He has delivered keynote speeches at several international conferences and holds numerous patents. His contributions extend to supervising over 50 theses and reviewing for prestigious journals. ๐ŸŒŸ๐Ÿ”ฌ๐Ÿ“š

Professional Profile:

Google Scholar

Education and Experience:

  • Post-Ph.D. & Ph.D. in Electrical Power Engineering, Shahid Beheshti University (First Class Honors) ๐ŸŽ“

  • Ranked among the worldโ€™s top 2% scientists by Stanford University in 2020 ๐ŸŒ

  • Chairman of R&D Board at HICOBI Company ๐Ÿข

  • Assistant Professor at Iran Islamic Azad University ๐Ÿ‘จโ€๐Ÿซ

  • Technical Expert at Iran North Drilling Company โš™๏ธ

  • Main Speaker at national and international conferences ๐ŸŽค

  • Reviewer for prestigious journals (IEEE, Elsevier, Springer) ๐Ÿ“–

  • Supervisor & Adviser for 50+ M.Sc. and Ph.D. theses ๐Ÿ“

  • TOEFL-PBT score: 630 (Writing Score: 6) ๐Ÿ†

  • Patents and medals at invention festivals in Iran, South Korea, and Romania ๐Ÿ…

Professional Development:ย 

Ali Darvish Falehi has continuously developed his professional expertise by participating in global conferences and providing thought leadership as a main speaker and reviewer for high-impact journals such as IEEE and Elsevier. His dedication to research has led him to supervise over 50 graduate and doctoral theses, contributing to the academic growth of the next generation of engineers. He is also deeply involved in the industrial sector, where he serves as a technical expert for Iran North Drilling Company and leads the R&D board at HICOBI Company, driving innovation and technology forward. His work bridges academia and industry, enhancing both fields. ๐Ÿ”ง๐ŸŒ๐Ÿ“Š

Research Focus:

Ali Darvish Falehi’s research is centered around Electrical Power Engineering, with particular attention to energy systems, power distribution, and renewable energy solutions. His work aims to optimize power engineering technologies, focusing on improving energy efficiency and sustainability. He is known for his contributions to the development of advanced electrical systems and has been actively involved in creating patented innovations. His expertise in power engineering is complemented by his role as a technical expert, where he advises on industrial applications of electrical power systems. His research seeks to solve complex energy challenges, aligning with global sustainability goals. โšก๐ŸŒฑ๐Ÿ”‹

Awards and Honors:

  • Ranked among the worldโ€™s top 2% scientists by Stanford University (2020) ๐ŸŒ

  • Chairman of the R&D Board at HICOBI Company ๐Ÿข

  • Main Speaker at several international conferences ๐ŸŽค

  • Reviewer for leading ISI journals like IEEE, Elsevier, Springer ๐Ÿ“š

  • Supervisor & Adviser for 50+ M.Sc. and Ph.D. theses ๐Ÿ“

  • TOEFL-PBT Score: 630 ๐Ÿ†

  • Patents and medals from invention festivals in Iran, South Korea, and Romania ๐Ÿ…

Publication Top Notes

  1. “An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities” (2020)

    • Authors: A.D. Falehi

    • Journal: Chaos, Solitons & Fractals

    • Summary: This paper proposes an innovative control strategy using a multi-objective Grasshopper Optimization Algorithm (GOA) to enhance the MPPT and Fault Ride Through (FRT) capabilities of DFIG-based wind turbines. The use of Fractional-Order Sliding Mode Control (FOSMC) is central to this work.

  2. “Promoted supercapacitor control scheme based on robust fractional-order super-twisting sliding mode control for dynamic voltage restorer to enhance FRT and PQ capabilities of DFIG-based wind turbines” (2021)

    • Authors: A.D. Falehi, H. Torkaman

    • Journal: Journal of Energy Storage

    • Summary: This paper focuses on enhancing the FRT and Power Quality (PQ) capabilities of DFIG-based wind turbines. The authors propose a robust fractional-order control scheme for supercapacitors integrated with a Dynamic Voltage Restorer (DVR).

  3. “LVRT/HVRT capability enhancement of DFIG wind turbine using optimal design and control of novel PIฮปDฮผ-AMLI based DVR” (2018)

    • Authors: A.D. Falehi, M. Rafiee

    • Journal: Sustainable Energy, Grids and Networks

    • Summary: This work aims to enhance the Low Voltage Ride Through (LVRT) and High Voltage Ride Through (HVRT) capabilities of DFIG wind turbines by optimizing the design and control of a novel DVR based on a PIฮปDฮผ-AMLI (Proportional-Integral-Derivative) controller.

  4. “Enhancement of DFIG-wind turbineโ€™s LVRT capability using novel DVR based odd-nary cascaded asymmetric multi-level inverter” (2017)

    • Authors: A.D. Falehi, M. Rafiee

    • Journal: Engineering Science and Technology, an International Journal

    • Summary: This paper explores improving the LVRT capability of DFIG wind turbines by integrating a novel Dynamic Voltage Restorer (DVR) system with an odd-nary cascaded asymmetric multi-level inverter.

  5. “Neoteric HANFISCโ€“SSSC based on MOPSO technique aimed at oscillation suppression of interconnected multi-source power systems” (2016)

    • Authors: A.D. Falehi, A. Mosallanejad

    • Journal: IET Generation, Transmission & Distribution

    • Summary: This paper addresses the oscillation suppression in interconnected multi-source power systems using a Hybrid Active Networked Flexible Integrated Supply Chain (HANFISC)-Static Synchronous Series Compensator (SSSC) controlled by the Multi-Objective Particle Swarm Optimization (MOPSO) technique.

Conclusion:

Ali Darvish Falehi is undoubtedly a deserving candidate for the Excellence in Researcher Award. His combination of academic excellence, significant contributions to electrical power engineering, leadership in both academia and industry, and his global recognition positions him as a standout figure in his field. His ability to balance research with innovation, along with his dedication to mentoring future researchers, makes him an exemplary choice for this prestigious award.

Guanwei Jia | Engineering | Best Researcher Award

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Dr. Guanwei Jia | Engineering | Best Researcher Award

Associate Professor at Henan University, China

Guanwei jia (born in 1982) is an associate professor at the School of Physics and Electronics, Henan University, China. He holds a BSc in Electronic Information Engineering (2006), an MSc in Mechanical Engineering (2012), and a Ph.D. in Mechanical Engineering from Beihang University (2018). His research focuses on hydrogen-blended natural gas pipeline transportation and energy storage. By Spring 2025, he has 38 publications indexed in Web of Science. His contributions aim to enhance energy efficiency and sustainable energy solutions, making him a key figure in the field of energy engineering. ๐Ÿ”ฌโšก

Professional Profile:

Orcid

Education & Experience ๐ŸŽ“๐Ÿ“œ

  • BSc in Electronic Information Engineering โ€“ 2006 ๐ŸŽ“๐Ÿ“ก

  • MSc in Mechanical Engineering โ€“ 2012 ๐Ÿ› ๏ธ๐Ÿ“Š

  • Ph.D. in Mechanical Engineering (Beihang University) โ€“ 2018 ๐ŸŽ“โš™๏ธ

  • Associate Professor, Henan University โ€“ Present ๐ŸŽ“๐Ÿ›๏ธ

Professional Development ๐Ÿš€๐Ÿ”

Guanwei jia has significantly contributed to energy research, particularly in hydrogen-blended natural gas pipeline transportation and energy storage. His work integrates advanced mechanical engineering techniques with sustainable energy solutions. With 38 Web of Science-indexed publications, his research provides insights into energy optimization and pipeline safety. He collaborates with industry and academia to advance clean energy technologies. As an associate professor, he mentors students and leads research projects, fostering innovation in energy sustainability. His efforts in alternative energy solutions contribute to global efforts for a cleaner and more efficient energy future. ๐Ÿ”ฌโšก๐ŸŒ

Research Focus ๐Ÿ”ฌโšก

Guanwei jia specializes in hydrogen-blended natural gas transportation and energy storage, addressing key challenges in pipeline safety, efficiency, and sustainability. His research explores how hydrogen integration in natural gas pipelines enhances energy efficiency while reducing carbon emissions. By leveraging mechanical engineering principles, he aims to develop secure and cost-effective storage solutions. His studies help advance the transition toward renewable energy, making natural gas pipelines adaptable for future hydrogen-based energy systems. His findings are valuable for energy infrastructure development, ensuring a safer, cleaner, and more efficient energy network for the future. โš™๏ธ๐ŸŒโšก

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

  • 38 Web of Science-indexed publications ๐Ÿ“‘๐Ÿ”

  • Recognized for contributions to hydrogen-blended gas research โšก๐Ÿ”ฌ

  • Active mentor and researcher in energy storage solutions ๐ŸŽ“๐Ÿ“š

  • Key collaborator in sustainable energy initiatives ๐ŸŒ๐Ÿ”‹

Publication Top Notes

  1. “Water Vapour Condensation Behaviour within Hydrogen-Blended Natural Gas in Laval Nozzles”

    • Authors: Not specified in the provided information.

    • Journal: Case Studies in Thermal Engineering

    • Publication Date: March 2025

    • DOI: 10.1016/j.csite.2025.106064

    • Summary: This study investigates how water vapor condenses in hydrogen-blended natural gas as it flows through Laval nozzles. Understanding this behavior is crucial for optimizing nozzle design and ensuring efficient operation in systems utilizing hydrogen-enriched natural gas.โ€‹

  2. “Simulation Study on Hydrogen Concentration Distribution in Hydrogen Blended Natural Gas Transportation Pipeline”

    • Authors: Not specified in the provided information.

    • Journal: PLOS ONE

    • Publication Date: December 3, 2024

    • DOI: 10.1371/journal.pone.0314453

    • Summary: This research employs simulations to analyze how hydrogen distributes within natural gas pipelines when blended. The findings provide insights into maintaining consistent hydrogen concentrations, which is vital for pipeline safety and efficiency.โ€‹

  3. “Numerical Simulation of the Transport and Thermodynamic Properties of Imported Natural Gas Injected with Hydrogen in the Manifold”

    • Authors: Not specified in the provided information.

    • Journal: International Journal of Hydrogen Energy

    • Publication Date: February 2024

    • DOI: 10.1016/j.ijhydene.2023.11.178

    • Summary: This paper presents numerical simulations examining how injecting hydrogen into imported natural gas affects its transport and thermodynamic properties within a manifold. The study aims to inform strategies for integrating hydrogen into existing natural gas infrastructures.โ€‹

  4. “Performance Analysis of Multiple Structural Parameters of Injectors for Hydrogen-Mixed Natural Gas Using Orthogonal Experimental Methods”

    • Authors: Not specified in the provided information.

    • Journal: Physics of Fluids

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0175018

    • Summary: This study evaluates how various structural parameters of injectors influence the performance of hydrogen-mixed natural gas systems. Using orthogonal experimental methods, the research identifies optimal injector designs to enhance efficiency and reliability.โ€‹

  5. “Ultrasonic Gas Flow Metering in Hydrogen-Mixed Natural Gas Using Lamb Waves”

    • Authors: Not specified in the provided information.

    • Journal: AIP Advances

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0172477

    • Summary: This paper explores the application of Lamb waves in ultrasonic gas flow metering for hydrogen-mixed natural gas. The research demonstrates the effectiveness of this non-contact method in accurately measuring gas flow, which is essential for monitoring and controlling gas distribution systems.

Conclusion

While Guanwei Jia has made valuable contributions to the field of hydrogen energy and pipeline transportation, his suitability for a Best Researcher Award would depend on additional factors such as citations, research impact, industry collaborations, patents, and leadership in major projects. If he has demonstrated exceptional influence beyond publicationsโ€”such as shaping energy policies, leading significant projects, or achieving high citation impactโ€”he would be a strong candidate for the award.

Shirko Faroughi | Engineering | Best Researcher Award

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Prof. Shirko Faroughi | Engineering | Best Researcher Award

Academic at Urmia University of Technoloy, Iran

Dr. Shirko Faroughi, an esteemed Professor of Mechanical Engineering at Urmia University of Technology, Iran, specializes in Computational Mechanics, Isogeometric Analysis, and Finite Element Methods. With a Ph.D. from Iran University of Science and Technology, he has held research positions at KTH University (Sweden), Swansea University (UK), and Bauhaus University Weimar (Germany). His work spans fracture mechanics, machine learning, and 3D printing simulations. As a CICOPS Scholar at the University of Pavia, Italy, Dr. Faroughi actively collaborates on international research projects, contributing significantly to advanced numerical methods. ๐Ÿ“š๐ŸŒ

Professional Profile:

Scopus

Google Scholar

Education & Experience ๐ŸŽ“๐Ÿ“œ

  • Ph.D. in Mechanical Engineering (2010) โ€“ Iran University of Science and Technology ๐Ÿ›๏ธ

  • M.S. in Mechanical Engineering (2005) โ€“ Iran University of Science and Technology ๐Ÿ—๏ธ

  • B.S. in Mechanical Engineering (2003) โ€“ Tabriz University ๐Ÿš—

๐Ÿ”น Academic Roles

  • Professor (2020 โ€“ Present) โ€“ Urmia University of Technology ๐Ÿ‘จโ€๐Ÿซ

  • Associate Professor (2015 โ€“ 2020) โ€“ Urmia University of Technology ๐Ÿ”ฌ

  • Assistant Professor (2011 โ€“ 2015) โ€“ Urmia University of Technology ๐Ÿ“–

  • Visiting Researcher (2008 โ€“ 2009) โ€“ KTH University, Sweden ๐Ÿ‡ธ๐Ÿ‡ช

๐Ÿ”น Administrative & International Positions

  • Dean of Mechanical Engineering Department (2022 โ€“ Present) ๐Ÿข

  • CICOPS Scholar โ€“ University of Pavia, Italy (2022) ๐Ÿ‡ฎ๐Ÿ‡น

  • Research Collaborator โ€“ Swansea University, UK (2015 โ€“ Present) ๐Ÿ‡ฌ๐Ÿ‡ง

  • Research Collaborator โ€“ New Mexico State University, USA (2016 โ€“ Present) ๐Ÿ‡บ๐Ÿ‡ธ

  • Research Collaborator โ€“ Bauhaus University Weimar, Germany (2017 โ€“ Present) ๐Ÿ‡ฉ๐Ÿ‡ช

Professional Development ๐ŸŒ๐Ÿ“š

Dr. Shirko Faroughi has made remarkable contributions to mechanical engineering through computational mechanics, finite element analysis, and machine learning. His research advances superconvergent mass and stiffness matrices, isogeometric methods, phase-field methods, and energy harvesting. He also integrates AI-driven techniques to enhance engineering simulations. His collaborations span Europe and the U.S., working with top researchers on thin structures, 3D printing, and structural dynamics. As a department dean and international collaborator, he plays a pivotal role in engineering education and research innovations, fostering global academic partnerships. ๐ŸŒŽ๐Ÿ’ก

Research Focus ๐Ÿ”๐Ÿง 

Dr. Faroughi’s research primarily revolves around Computational Mechanics and Advanced Numerical Methods, integrating Artificial Intelligence and Machine Learning for engineering applications. His work focuses on:

  • Superconvergent mass and stiffness matrices ๐Ÿ“๐Ÿ”ฌ

  • Isogeometric and finite element methods ๐Ÿ—๏ธ๐Ÿ“Š

  • Fracture mechanics and phase-field modeling ๐Ÿš๏ธ๐Ÿ’ฅ

  • Tensegrity structures and energy harvesting โšก๐Ÿ”ฉ

  • Machine learning and transfer learning in mechanical simulations ๐Ÿค–๐Ÿ“ˆ

  • 3D printing simulations and advanced material modeling ๐Ÿ–จ๏ธ๐Ÿงฉ

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. ๐Ÿš€๐Ÿ”ข

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

  • CICOPS Scholarship โ€“ University of Pavia, Italy (2022) ๐Ÿ‡ฎ๐Ÿ‡น

  • Visiting Researcher โ€“ KTH University, Sweden (2008-2009) ๐Ÿ‡ธ๐Ÿ‡ช

  • Research Collaborator โ€“ Swansea University, UK (2015-Present) ๐Ÿ‡ฌ๐Ÿ‡ง

  • Research Collaborator โ€“ Bauhaus University Weimar, Germany (2017-Present) ๐Ÿ‡ฉ๐Ÿ‡ช

  • Research Collaborator โ€“ New Mexico State University, USA (2016-Present) ๐Ÿ‡บ๐Ÿ‡ธ

  • Dean of Mechanical Engineering Department โ€“ Urmia University of Technology (2022-Present) ๐Ÿ›๏ธ

  • Multiple Grants for Advanced Computational Mechanics Research ๐ŸŽ“๐Ÿ”

Publication Top Notes

  1. Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams

    • Authors: S. Faroughi, A. Rahmani, M.I. Friswell

    • Published in Applied Mathematical Modelling (2020)

    • Citations: 71

    • Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.

  2. Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams

    • Authors: A. Rahmani, S. Faroughi, M.I. Friswell

    • Published in Mechanical Systems and Signal Processing (2020)

    • Citations: 54

    • Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.

  3. Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method

    • Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell

    • Published in International Journal of Non-Linear Mechanics (2015)

    • Citations: 47

    • Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.

  4. Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media

    • Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi

    • Published in Mathematics (2023)

    • Citations: 40

    • Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.

  5. Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach

    • Authors: E. Shafei, S. Faroughi, T. Rabczuk

    • Published in Computers & Mathematics with Applications (2021)

    • Citations: 30

    • Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.

ADAM ISMAEEL | Engineering | Best Researcher Award

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Assoc. Prof. Dr. ADAM ISMAEEL | Engineering | Best Researcher Award

Full-time teacher at Quanzhou University of Information Engineering, China

Adam ismaeel is an associate professor at the school of mechanical and electrical engineering, quanzhou university of information engineering, china. originally from sudan, he specializes in crystal plasticity and multiscale computational materials. with over five years of experience, he has contributed to titanium alloy design, simulation methods, and microstructure evolution. fluent in arabic, english, and chinese (HSK3), he is dedicated to advancing materials science through computational methods and artificial intelligence. his passion for scientific discovery and knowledge sharing drives his research, making significant contributions to additive manufacturing and materials processing. ๐ŸŒ๐Ÿ”ฌ

Professional Profileย 

Education & Experience ๐ŸŽ“๐Ÿ”ง

  • Ph.D. in Material Physics and Chemistry (2019-2024) ๐Ÿ“š

    • University of Science and Technology of China (USTC)
    • Research at the Institute of Metals Research, CAS in multiscale computational materials

  • Master of Engineering in Materials Processing Engineering (2015-2018) ๐Ÿ—๏ธ

    • Dalian University of Technology
    • Research at the Key Laboratory of Materials Modification by Laser, Ion, and Electron Beam

  • Bachelor of Science in Materials Processing (2003-2010) ๐Ÿญ

    • University of Juba, Sudan
    • Research experience at Industrial Research and Consultancy Center, Sudan

  • Work Experience ๐Ÿ‘จโ€๐Ÿซ

    • Associate Professor (2024-Present) ๐ŸŽ“
      • School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, China

Professional Development ๐Ÿš€

adam ismaeel has built a strong expertise in multiscale computational materials, focusing on crystal plasticity simulation, microstructure evolution, and mechanical properties. he integrates artificial intelligence into materials design, enhancing additive manufacturing techniques. his proficiency in technical writing, data analysis, and simulation methods allows him to solve complex engineering problems efficiently. his commitment to lifelong learning has made him a valuable contributor to advanced materials research. through his academic journey in sudan and china, he has developed multilingual communication skills, further enabling international collaboration in scientific discoveries. ๐Ÿ“ˆ๐Ÿ”ฌ๐Ÿ’ก

Research Focus ๐Ÿ”

adam ismaeel specializes in crystal plasticity and multiscale computational materials, exploring microstructure evolution, mechanical behavior, and fatigue properties of metals, particularly titanium alloys. his research integrates advanced simulation techniques and artificial intelligence-assisted materials design to optimize manufacturing processes. he is also deeply involved in additive manufacturing, working on improving material performance through innovative processing techniques. his work contributes to developing stronger, more durable materials for industrial applications, including aerospace, automotive, and biomedical engineering. his passion for scientific innovation and problem-solving drives him to continuously push the boundaries of materials science. โš™๏ธ๐Ÿ› ๏ธ๐Ÿ“Š

Awards & Honors ๐Ÿ†

  • Chinese Government Scholarship (2015-2018) ๐Ÿ‡จ๐Ÿ‡ณ
  • Institute of Metal Research Scholarship, CAS (2019-2024) ๐Ÿ…

Publication Top Notes

Effect of Texture on the Fatigue Crack Initiation of a Dual-Phase Titanium Alloy
  • Authors: Adam Ismaeel, Xuexiong Li, Dongsheng Xu, Jinhu Zhang, Rui Yang
  • Journal: Journal of Materials Research and Technology
  • Year: 2024
  • DOI: 10.1016/j.jmrt.2024.10.178

Conclusion

Adam Ismaeel is a strong candidate for a Best Researcher Award, given his expertise in computational materials science, high-quality research output, and notable achievements. To further strengthen his candidacy, he could focus on leadership roles, high-impact journal publications, and industry collaborations. His research contributions in titanium alloys and crystal plasticity simulations are valuable, making him a competitive nominee.

Svetislav Savovic | Engineering | Best Researcher Award

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Prof. Dr. Svetislav Savovic | Engineering | Best Researcher Award

prof. Dr. Svetislav Savovic, University of Kragujevac, Serbia

prof. dr svetislav savovic is a distinguished physicist and professor at the university of kragujevac, serbia. With extensive expertise in optics, computational physics, and nuclear physics, he has contributed significantly to research in photonics, material science, and radiation measurements. He has collaborated with leading international institutions and is actively involved in advancing optical fiber technologies and experimental nuclear physics.

PROFILE

Scopus Profile

Educational Detail

PhD in Physics, university of kragujevac, serbia

MSc in Physics, university of belgrade, serbia

BSc in Physics, university of kragujevac, serbia

Professional Experience

Professor, university of kragujevac, faculty of science, serbia
December 2009 – present

Associate Professor, university of kragujevac, faculty of science, serbia
February 2004 – December 2009

Assistant Professor, university of kragujevac, faculty of science, serbia
September 1997 – February 2004

Visiting Professor/Researcher Positions:

Sapienza University of Rome, Italy (December 2019)

University of Applied Sciences, Leipzig, Germany (June 2018)

Polytechnic University of Hong Kong, Hong Kong (2015-2017, multiple terms)

City University of Hong Kong, Hong Kong (Senior Research Fellow, 3 years, 2000-2019)

Centre Recherche Nucleaires (CRN), Strasbourg, France (May-June 1991)

Aristotle University, Thessaloniki, Greece (Multiple terms, 1990-2009)

International Centre for Theoretical Physics, Trieste, Italy (1988-1990)

University of Poznan and University of Krakow, Poland (September-October 1990)

Teaching Experience

prof. savovic has extensive teaching expertise in the following areas:

Photonics

Metrology

Experimental techniques in physics

Numerical methods and simulations in physics

Informatics and computer programming

Laboratory of modern physics

Biophysics

Atomic physics

Monte-Carlo methods

Nuclear physics

Computational biophysics

Research Interests

Optics and photonics

Computational physics

Monte-Carlo methods

Partial differential equations

Experimental nuclear physics

Radiation measurements

Material science

Research Projects

Computer modeling of deflection-curvature sensors (1999-2000, Hong Kong)

Modal curvature gauge development (2000-2003, Hong Kong)

Mode coupling and power transfer in polymer optical fibers (2005-2009, Hong Kong)

Effects of gamma radiation on step-index plastic optical fibers (2011-2012, Hong Kong)

Advancements in W-type and graded-index plastic optical fibers (2013-2019, Hong Kong)

Characterization and design of photonic crystal fibers (2021-2025, Serbia, Hong Kong, UAE)

Nuclear Physics:

High-energy experimental nuclear physics (1997-2000, Serbia)

Standard Model parameter measurements and new particle searches (2006-2010, CERN, Geneva)

Member of the ATLAS collaboration at CERN (2006-2010)

Mathematics:

Numerical solutions for Stefan problems with accuracy and efficiency emphasis (2002-2003, Hong Kong)

Key Achievements

Long-term international collaborations across Europe and Asia.

Published groundbreaking research in optics and nuclear physics.

Developed innovative optical fiber technologies for sensing and data transmission.

Contributed to the ATLAS experiment at CERN, advancing particle physics research.

Top Notable Publications

Interference mitigation using optimised angle diversity receiver in LiFi cellular network
Zeng, Z., Chen, C., Wu, X., Safari, M., Haas, H.
Optics Communications, 2025, 574, 131125.
Citations: 0

Theoretical investigation of the space division multiplexing capacity of multimode step-index plastic optical fibers
Savoviฤ‡, S., Aidinis, K., Chen, C., Min, R.
Optik, 2024, 311, 171945.
Citations: 0

Influence of launch light beam conditions on the bandwidth in multimode graded-index microstructured POFs
Simoviฤ‡, A., Savoviฤ‡, S., Drljaฤa, B., Chen, C., Min, R.
Applied Optics, 2024, 63(22), pp. 5926โ€“5930.
Citations: 0

Enhancing OFDM with index modulation using heuristic geometric constellation shaping and generalized interleaving for underwater VLC
Zhao, Y., Chen, C., Zhong, X., Lin, B., Savoviฤ‡, S.
Optics Express, 2024, 32(8), pp. 13720โ€“13732.
Citations: 5

Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review
Drljaฤa, B., Savoviฤ‡, S., Simoviฤ‡, A., Aidinis, K., Min, R.
Optical and Quantum Electronics, 2024, 56(4), 547.
Citations: 2

0.5-bit/s/Hz fine-grained adaptive OFDM modulation for bandlimited underwater VLC
Nie, Y., Chen, C., Savoviฤ‡, S., Zeng, Z., Shen, G.
Optics Express, 2024, 82(3), pp. 4537โ€“4552.
Citations: 4

New method for the investigation of mode coupling in graded-index polymer photonic crystal fibers using the Langevin stochastic differential equation
Savoviฤ‡, S., Djordjevich, A., Aidinis, K., Chen, C., Min, R.
Frontiers in Physics, 2024, 12, 1479206.
Citations: 0

Wavelength dependent transmission in multimode graded-index microstructured polymer optical fibers
Simoviฤ‡, A., Savoviฤ‡, S., Wang, Z., Aidinis, K., Chen, C.
Frontiers in Physics, 2024, 12, 1340505.
Citations: 1

Theoretical and experimental investigation of the steady-state power distribution in multimode step-index plastic optical fibers
Dai, W., Savoviฤ‡, S., Zhao, C., Shao, R., Min, R.
Optical Fiber Technology, 2023, 81, 103531.
Citations: 2

Investigation of mode coupling in strained and unstrained multimode step-index POFs using the Langevin equation
Savoviฤ‡, S., Aidinis, K., Djordjevich, A., Min, R.
Heliyon, 2023, 9(7), e18156.
Citations: 1

Conclusion

Considering Prof. Dr. Svetislav Savovicโ€™s vast academic qualifications, prolific research contributions, and impactful teaching and international collaborations, he is highly suitable for the Research for Best Researcher Award. His career epitomizes the values of innovation, academic excellence, and societal impact that the award seeks to honor.