Sergios Villette | Mechanical Engineering | Best Researcher Award

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Mr. Sergios Villette | Mechanical Engineering | Best Researcher Award

MEng, PhD Candidate Researcher, LTT/NTUA, Greece

Alexandros Alexiou is a mechanical engineer and researcher specializing in sustainable aviation fuel technologies and aeroengine combustion modeling. He is currently pursuing a Ph.D. in Mechanical Engineering at the National Technical University of Athens (NTUA), focusing on the experimental evaluation and modeling of alternative fuels in aircraft engines. His research involves aeroengine combustion chamber modeling, uncertainty quantification in aerodynamics, and innovative propulsion systems. Alexandros has collaborated on major projects with industry leaders such as SAFRAN Group and HELPE Group. With expertise in CFD simulations, mechanical design, and programming, he has contributed to the advancement of bio-kerosene utilization and non-conventional combustion. He has published in peer-reviewed journals, including Aerospace, where his work was featured on the journal cover. In addition to his research, he has experience as a tutor, robotics teacher, and machinist, demonstrating his diverse technical and academic expertise.

Profile.

orcid

Education

Alexandros Alexiou is currently pursuing a Ph.D. in Mechanical Engineering at the National Technical University of Athens (NTUA), focusing on sustainable aviation fuel technologies in aircraft propulsion systems. His doctoral research is funded by NTUA’s Special Account for Research Grants Scholarship. He holds a Master’s & Bachelor’s Degree in Mechanical Engineering from NTUA, specializing in Air and Ground Transfer Vehicles, with a GPA of 7.8/10. During his undergraduate studies, he conducted a diploma thesis on aerodynamic uncertainty quantification at the Parallel CFD & Optimization Unit (PCOpt) of LTT/NTUA, utilizing OpenFOAM and in-house codes. He completed his high school education at the 2nd General Lyceum of Corfu, achieving a GPA of 19.3/20. His strong academic foundation in aerodynamics, propulsion, and computational simulations has prepared him for cutting-edge research in aviation fuels, energy efficiency, and combustion modeling.

Experience 

Alexandros Alexiou is a Research Associate at the Laboratory of Thermal Turbomachines (LTT), NTUA, specializing in aeroengine combustion modeling and alternative fuel technologies. His research includes developing PROOSIS models for water evaporation and hydrogen combustion in collaboration with SAFRAN Group. He has also worked on the Lipid4fuel project, investigating bio-kerosene use in aircraft engines. Beyond research, Alexandros has diverse professional experience. He worked as a freelance tutor for engineering courses, a STEM/robotics teacher for primary school students, and a restaurant waiter during summer seasons. His technical background includes hands-on experience as a welder-machinist at Machine Shop L. Zorbas, gaining practical skills in mechanical fabrication. His expertise in CFD simulations, mechanical design, and programming allows him to contribute effectively to the advancement of sustainable aviation fuels and innovative propulsion systems. His interdisciplinary approach bridges engineering theory and practical applications in aviation and energy research.

Awards & Honors 

Alexandros Alexiou has received multiple prestigious awards in science and engineering competitions. In 2015, he was honored by the Association of Greek Chemists for his outstanding performance in the 29th National Chemistry Competition, securing an 85/100 score. In 2015, he placed 20th in the “Aristotle” National Physics Competition, earning recognition from the Association of Greek Physicists. He also received an award from the Hellenic Mathematical Society for his success in the “Thalis” National Mathematical Competition in 2014, showcasing his analytical and problem-solving skills. In addition to academic awards, he holds a DALF C2 certification in French from the Ministère de l’Éducation Nationale de la République Française and a Certificate of Proficiency in English (CPE) from the University of Cambridge, demonstrating bilingual proficiency. His achievements reflect a strong foundation in STEM disciplines, positioning him as a rising expert in mechanical engineering and aviation research.

Research Focus 

Alexandros Alexiou’s research focuses on sustainable aviation fuel technologies, aeroengine combustion modeling, and uncertainty quantification in aerodynamics. His Ph.D. work at NTUA involves experimental evaluation and modeling of biofuels and hydrogen-based propulsion systems, aiming to develop eco-friendly alternatives to conventional jet fuels. He specializes in computational fluid dynamics (CFD), chemical reactor networks, and non-intrusive uncertainty quantification for optimizing aircraft engine performance and emissions reduction. His expertise extends to hydrogen combustion modeling, bio-kerosene integration, and advanced propulsion systems. Alexandros has actively contributed to industry-driven projects, including SAFRAN’s PROOSIS modeling for hydrogen combustion and the Lipid4fuel project, a collaborative effort to assess bio-kerosene applications in aviation. His research integrates simulation tools such as OpenFOAM, ANSYS, and Cantera with experimental testing and industrial collaboration, driving innovation in green aviation technologies. His work aims to shape the future of sustainable air transportation and next-generation propulsion systems.

Publications

 

📖 Villette S, Adam D, Alexiou A, Aretakis N, Mathioudakis K. A Simplified Chemical Reactor Network Approach for Aeroengine Combustion Chamber Modeling and Preliminary Design. Aerospace. 2024; 11(1):22. 🔗 DOI (🌟 Journal Cover Feature)

📜 Diploma Thesis: Non-intrusive Polynomial Chaos Expansion for Aerodynamic Uncertainty Quantification & Robust Design with Manufacturing Uncertainties. Advisor: K. C. Giannakoglou, NTUA (2022).

Conclusion

The candidate demonstrates exceptional research potential in mechanical engineering and sustainable aviation fuels, making them a strong contender for the Best Researcher Award. Their work in combustion chamber modeling, bio-kerosene usage, and computational mechanics aligns with cutting-edge research trends.

Zhangfeng Zhu | Civil engineering | Best Researcher Award

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Assoc. Prof. Dr Zhangfeng Zhu | Civil engineering | Best Researcher Award

Assoc. Prof. Dr at Nanjing Tech University China

Zhu Zhangfeng (b. Nov 1985) is an Associate Professor and Ph.D. holder at Nanjing University of Technology. He is a visiting scholar at the National University of Singapore, specializing in prefabricated structures and civil engineering construction. With several roles in committees and innovation alliances, Zhu actively contributes to advancing the construction sector. 🏗️🎓

Publication Profile

scopus

Education🎓

Zhu obtained his Bachelor’s in Civil Engineering from Nanjing University of Science and Technology (2002–2006) 🏫 and completed his Doctor of Engineering in Structural Engineering at Southeast University (2006–2011)

Experience👨‍🏫

Zhu worked as a lecturer at Nanjing University of Technology (2011–2017) , followed by a visiting scholar position at the National University of Singapore (2017). He is currently an Associate Professor at Nanjing University of Technology since 2017

Awards and Honors💡

Zhu received the first prize in Jiangsu Provincial Science and Technology Awards 🏆, and was selected for the “Six Major Talent Peaks” project funding 🏅. He also earned four invention patents for his contributions

Research Focus🏫

Zhu’s research focuses on prefabricated building structural systems 🏗️ and complex civil engineering construction technologies ⚙️, aiming to enhance sustainability and innovation in the construction industry.

Publications 📖

Tensile Properties of Grout-Anchored Rebar Butt Connection for Precast Concrete Component

Published in: Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

Authors: Zhu, Z., Guo, Z., Huang, D., Chen, Y.

Published in: 2025, 57(1), pp. 120-127

Focuses on the tensile properties of grout-anchored rebar butt connections for precast concrete components, crucial for enhancing the stability and strength of precast systems.

2. Experimental Research on Seismic Performance of Hybrid Connected Prefabricated Composite Columns

Published in: Materials and Structures/Materiaux et Constructions

Authors: Zhu, Z., Jin, P., Zheng, Y., Zhang, B.

Published in: 2024, 57(6), 138

Examines the seismic performance of hybrid connected prefabricated composite columns, emphasizing earthquake resistance in modern construction.

3. Experimental Research on Interfacial Bonding Performance of High-Strength Steel Pipe and Surrounding Concrete/Grout for Assembled Composite Columns

Published in: Structural Concrete

Authors: Zhu, Z., Wang, J.

Published in: 2023, 24(6), pp. 7103-7115

Investigates the interfacial bonding between high-strength steel pipes and concrete or grout, enhancing composite column behavior.

4. Experiment on Seismic Performance of Post-Tensioned Strengthened Core-Pipe Connected Precast Composite Columns

Published in: Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences

Authors: Zhu, Z., Wang, J., Xu, K.

Published in: 2023, 50(11), pp. 110-119

Analyzes the seismic performance of post-tensioned reinforced core-pipe connections in precast composite columns.

5. Experimental Research on the Joint Seismic Performance of Prefabricated Entrance in Subway Station

Published in: Journal of Railway Engineering Society

Authors: Xu, J., Pan, Z., Xu, J., Fang, C., Zhu, Z.

Published in: 2022, 39(8), pp. 87-92

Focuses on the seismic performance of prefabricated entrances in subway stations, ensuring structural safety.

6. Shear Performance of the Interfaces for Precast Concrete Shear Wall Components by Novel Preparation Method

Published in: Structural Concrete

Authors: Zhu, Z., Guo, Z., Lu, H.

Published in: 2022, 23(2), pp. 1036-1048

Investigates the shear performance of precast concrete shear wall interfaces, utilizing innovative preparation methods.

7. Shear Bearing Performance of Precast Concrete Component Interface by Bubble Film

Published in: China Civil Engineering Journal

Authors: Zhu, Z., Guo, Z., Liu, J., Luan, L.

Published in: 2020, 53(7), pp. 21-27

Studies shear bearing performance using bubble film for precast concrete interfaces.

8. Aseismic Experimental Research on I-Shaped Precast Concrete Shear Walls with Vertical and Horizontal Joints

Published in: Engineering Mechanics

Authors: Zhu, Z.-F., Guo, Z.-X.

Published in: 2019, 36(3), pp. 139-148

Evaluates the seismic behavior of I-shaped precast concrete shear walls with vertical and horizontal joints, enhancing earthquake resilience.

9. Evaluation of Load–Deformation Behavior of Reinforced Concrete Shear Walls with Continuous or Lap-Spliced Bars in Plastic Hinge Zone

Published in: Advances in Structural Engineering

Authors: Zhi, Q., Zhou, B., Zhu, Z., Guo, Z.

Published in: 2019, 22(3), pp. 722-736

Focuses on evaluating the load-deformation behavior of reinforced concrete shear walls, especially in plastic hinge zones.

10. Seismic Behavior of Precast Concrete Shear Walls with Different Confined Boundary Elements

Published in: KSCE Journal of Civil Engineering

Authors: Zhu, Z., Guo, Z.

Published in: 2019, 23(2), pp. 7

Studies the seismic performance of precast concrete shear walls with various confined boundary elements for improved earthquake resistance.

 

Conclusion

Zhu Zhangfeng’s contributions to civil engineering and construction are remarkable, and his achievements in structural innovation, sustainability, and safety make him a highly suitable candidate for the Best Researcher Award. His continuous pursuit of excellence in both research and practical applications demonstrates his potential for shaping the future of the industry. With further international collaboration and a broader focus on the socio-economic impacts of his work, he could take his contributions to even greater heights. Overall, his research excellence and forward-thinking approach make him an ideal candidate for this prestigious recognition.

Ryspek Usubamatov | Mechanics | Outstanding Scientist Award

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Prof. Dr. Ryspek Usubamatov | Mechanics | Outstanding Scientist Award

Prof at Kyrgyz State Technical University, Kyrgyzstan

🎓Prof. Dr. Ryspek Usubamatov, an esteemed academic and innovator, has contributed immensely to mechanical, industrial, and manufacturing engineering. 🌍 Born in Kyrgyzstan, he earned his Ph.D. at Bauman Moscow State Technical University and holds over 500 publications, 61 patents, and 8 books. 📚 He has led research projects globally, including in the USA, UK, and Malaysia, and mentored numerous students. 🌟 His groundbreaking work in gyroscopic theory and high-efficiency turbines reflects his dedication to sustainable innovation.

Publication Profile

orcid

Education🎓

1994-96: Certificate in English Literature, KSTU  1994: University Administration, Kansas University, USA.  1993: Doctor of Technical Sciences, National Academy of Sciences, Kyrgyzstan. 1968-72: Ph.D., MSTU 1960-66: Professional Engineer Certificate, Mechanical Engineering, MSTU.  Multiple certifications from workshops globally in engineering, composite materials, web publishing, and business coaching.

Experience 👨‍🏫

Professor at UniMAP and UPM (2002-2016).  Professor of Automation and Production, KSTU (1972-1992).  Rector of KSTU (1992-1999).  Director, International University of Kyrgyzstan (1999-2002). Expert consultant for UNESCO and INTAS, promoting global scientific collaboration. Machine Tool Engineer, Bishkek Engineering Plant (1966-1968).

Awards and Honors🏅

State Medal for Valiant Labour, Kyrgyzstan (1982). Government Medal for Excellence in Education, Kyrgyzstan (1993) Bronze Medal, ITEX, Malaysia (2009). Silver Medal, ITEX, Malaysia (2014). Order of Merit, WIAF, Korea (2012). Fellowships and memberships in AAAS, UAMAE, and global academies.  Editorial board member of multiple scientific journals.

Research Focus⚙️

Productivity Theory for Industrial Engineering. Gyroscopic effects for rotating objects. High-efficiency turbine designs. Advanced machining processes and CNC. Automation, robotics, and material handling. Innovations in vane-type turbines and combustion engines  Dynamic system design and kinematics of machines. Econometrics and engineering collaboration projects.

Publications 📖

ptimization of Machining for the Maximal Productivity Rate of the Drilling Operations
Journal: International Journal of Mathematics for Industry
Published: August 2024 | DOI: 10.1142/S2661335224500230
Contributors: Ryspek Usubamatov, Abdusamad Abdiraimov

Maximal Productivity Rate of Threading Machine Operations
Journal: International Journal of Mathematics for Industry
Published: July 2024 | DOI: 10.1142/S2661335224500199
Contributors: Ryspek Usubamatov, Darina Kurganova, Sarken Kapayeva

Optimization of Face Milling Operations by Maximal Productivity Rate Criterion
Journal: Production Engineering
Published: June 2024 | DOI: 10.1007/s11740-023-01249-9
Contributors: Ryspek Usubamatov, Cholpon Bayalieva, Sarken Kapayeva, Tashtanbay Sartov, Gabdyssalyk Riza

Gyroscopic Torques Generated by a Spinning Ring Torus
Journal: Advances in Mathematical Physics
Published: January 2024 | DOI: 10.1155/admp/5594607
Contributors: Ryspek Usubamatov, John Clayton

Theory of Gyroscopic Effects for Rotating Objects
Book: Springer
Published: 2022 | DOI: 10.1007/978-3-030-99213-2

Optimization of Machining by the Milling Cutter
Preprint: December 2022 | DOI: 10.21203/rs.3.rs-2333647/v1
Contributors: Ryspek Usubamatov, Cholpon Bayalieva, Sarken Kapayeva, Tashtanbay Sartov

Inertial Forces and Torques Acting on a Spinning Annulus
Journal: Advances in Mathematical Physics
Published: September 2022 | DOI: 10.1155/2022/3371936
Contributors: Ryspek Usubamatov, Sarken Kapayeva, Zine El Abiddine Fellah

Erratum: Physics of Gyroscope Nutation
Journal: AIP Advances
Published: March 2021 | DOI: 10.1063/5.0040660

Physics of Gyroscope Nutation
Journal: AIP Advances
Published: October 2019 | DOI: 10.1063/1.5099647

Productivity Theory for Industrial Engineering
Book: Taylor and Francis, London
Published: July 2018

Conclusion

This candidate is an exceptional contender for the Research for Outstanding Scientist Award, with a remarkable track record of academic excellence, professional leadership, and contributions to mechanical engineering and manufacturing technologies. Their multidisciplinary expertise, extensive publication record, and international recognition make them a strong candidate. Enhancing focus on emerging technologies and sustainability-related applications would further strengthen their candidacy and relevance for this prestigious award.

Bingcheng Yi | Bioinspired Functional Surfaces | Best Researcher Award

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Mr. Bingcheng Yi | Bioinspired Functional Surfaces  | Best Researcher Award

Associated professor at University of Health and Rehabilitation Sciences, china

Dr. Zhang Jinde is an Associate Professor at the University of Health and Rehabilitation Sciences, specializing in vascular tissue engineering and biomaterial modification for tissue regeneration. He completed his PhD at Donghua University, focusing on biomaterials, and has worked as a postdoctoral researcher at Shanghai Ninth People’s Hospital. With extensive experience in biomimetic materials, Dr. Zhang is dedicated to developing advanced biomaterials like nanofibers and hydrogels for tissue regeneration. 🌱

Publication Profile

scopus

Education 🎓

PhD in Biomaterials, Donghua University, 2020 👩‍🎓Master in Biochemical Engineering, Donghua University, 2016 🧪Bachelor in Food Quality and Safety, Hainan University, 2013 🍽️

Experience 💼

2022–Present: Associate Professor, University of Health and Rehabilitation Sciences 🏫2020–2022: Postdoc, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University 🏥2016–2020: Research Assistant, Donghua University 🔬

Awards and Honors 🏅🏆

Dr. Zhang has received numerous awards, including the National Scholarship for Graduate Students (2019), Best Research Presentation Award at the International Biomaterials Conference (2020), and an Excellence in Innovation Award from the University of Health and Rehabilitation Sciences (2022).

Research Focus 🔬

His research focuses on vascular tissue engineering, developing advanced biomaterials like nanofiber hydrogels to regulate cell behaviors, mechanisms of cell-matrix interactions in tissue remodeling, and designing biomimetic materials for effective tissue regeneration. 💡

Publications 📖

Bacterial cellulose-based scaffold modified with anti-CD29 antibody to selectively capture urine-derived stem cells for bladder repair
Authors: Shao, T., Yan, M., Liu, R., Yi, B., Zhou, Q.
Journal: Carbohydrate Polymers
Year: 2025, Volume 352, Article 123150
Summary: The article focuses on a bacterial cellulose-based scaffold modified with anti-CD29 antibody for selectively capturing urine-derived stem cells aimed at bladder repair.

Fucoidan-derived carbon dots as nanopenetrants of blood-brain barrier for Parkinson’s disease treatment
Authors: Han, M., Yi, B., Song, R., Shen, X., Zhou, Q.
Journal: Journal of Colloid and Interface Science
Year: 2025, Volume 680, pp. 516–527
Summary: This study investigates fucoidan-derived carbon dots as nanocarriers for penetrating the blood-brain barrier to treat Parkinson’s disease.

ADSCC-CM-Induced Keratin Hydrogel-Based Bioactive Microneedle Patch Containing Triamcinolone Acetonide for the Treatment of Pathological Scar
Authors: Li, C., Yi, B., Xu, Q., Zhou, Q., Wang, Z.
Journal: Advanced Functional Materials
Year: 2024, Volume 34(46), Article 2400457
Summary: This research presents a keratin hydrogel-based microneedle patch, induced by ADSCC-conditioned media, for the treatment of pathological scars.

Mechanical loading on cell-free polymer composite scaffold enhances in situ regeneration of fully functional Achilles tendon in a rabbit model
Authors: Wang, W., Lin, X., Tu, T., Zhang, P., Liu, W.
Journal: Biomaterials Advances
Year: 2024, Volume 163, Article 213950
Summary: The article discusses the effects of mechanical loading on a cell-free polymer scaffold, promoting tendon regeneration in a rabbit model.

Piezoelectrically-enhanced composite membranes mimicking the tendinous electrical microenvironment for advanced tendon repair
Authors: Wang, W., Wang, P., Li, Q., Liu, W., Wang, X.
Journal: Nano Today
Year: 2024, Volume 57, Article 102381
Summary: This study explores the use of piezoelectric composite membranes for tendon repair by mimicking the electrical microenvironment.

Ecofriendly and high-performance flexible pressure sensor derived from natural plant materials for intelligent audible and silent speech recognition
Authors: Zheng, X., Yi, B., Zhou, Q., Li, Y., Li, Y.
Journal: Nano Energy
Year: 2024, Volume 126, Article 109701
Summary: The article presents a flexible pressure sensor made from natural plant materials, intended for speech recognition applications.

Sulfated Chitosan-Modified CuS Nanocluster: A Versatile Nanoformulation for Simultaneous Antibacterial and Bone Regenerative Therapy in Periodontitis
Authors: Chen, X., Huang, N., Wang, D., Yuan, C., Zhou, Q.
Journal: ACS Nano
Year: 2024, Volume 18(22), pp. 14312–14326
Summary: This study introduces a sulfated chitosan-modified CuS nanocluster for combined antibacterial and bone regeneration therapy in periodontitis.

Polylysine-derived carbon quantum dots modulate T lymphocyte responses for periodontitis treatment
Authors: Deng, X., Yi, B., Guo, F., Yuan, C., Zhou, Q.
Journal: Materials and Design
Year: 2024, Volume 241, Article 112975
Summary: The research highlights how polylysine-derived carbon quantum dots can modulate T lymphocyte responses to treat periodontitis.

Physiological cyclic stretching potentiates the cell–cell junctions in vascular endothelial layer formed on aligned fiber substrate
Authors: Shi, Y., Li, D., Yi, B., Xu, T., Zhang, Y.
Journal: Biomaterials Advances
Year: 2024, Volume 157, Article 213751
Summary: This paper explores how cyclic stretching can enhance cell–cell junctions in a vascular endothelial layer on an aligned fiber substrate.

The Combination of Aligned PDA-Fe@PLCL Conduit with Aligned GelMA Hydrogel Promotes Peripheral Nerve Regeneration
Authors: Wang, P., You, J., Liu, G., Yi, B., Huang, Q.
Journal: Advanced Healthcare Materials
Year: 2024 (in press)
Summary: This research proposes a combined conduit and hydrogel approach to promote peripheral nerve regeneration.

Conclusion

The candidate is highly deserving of the Best Researcher Award due to their solid academic background, exceptional research contributions in biomaterials, and the promising potential for their findings to shape the future of regenerative medicine and tissue engineering. While areas like interdisciplinary collaboration, public engagement, and commercialization could be strengthened, their work shows significant potential for continued innovation. Given their drive and track record of excellence, they are poised to make enduring contributions to both academic and clinical fields.

Albandari Alrowaily | Material Science | Best Researcher Award

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Assist. Prof. Dr Albandari Alrowaily | Infectious diseases | Best Researcher Award

Assist Prof at  Princess Nourah bint Abdulrahmman University, Saudi Arabia

🎓 Assist. Prof. Dr Albandari Alrowaily is an Assistant Professor of Physics at Princess Nourah Bint Abdurrahman University, Saudi Arabia. She specializes in theoretical nuclear and atomic physics with a Ph.D. from the University of North Texas. Starting her career as a high school physics teacher, she progressed through roles such as lecturer, committee member, and advisor. Passionate about education quality, she now serves as the Teaching and Learning Quality Manager. Assist. Prof. Dr Albandari Alrowaily is an advocate for empowering women in science, holding memberships in ISMWS and APS. Her contributions to academia include teaching a wide range of physics courses, mentoring students, and participating in critical departmental activities. Outside work, she actively supports cultural and environmental initiatives.

Professional Profiles:

Google scholar

Education 🎓

Ph.D. in Theoretical Nuclear and Atomic Physics (2021): University of North Texas, Denton, TX, USA. Master’s in Theoretical Nuclear Physics (2008): Princess Nourah Bint Abdurrahman University, Riyadh, Saudi Arabia. Bachelor’s in Physics (1999): Princess Nourah Bint Abdurrahman University, Riyadh, Saudi Arabia. Additional Certificates: Management, document organization, research ethics, teamwork, professional basics, and ESL.

Experience 👩‍🏫

High School Physics Teacher (1999–2000): Al-Jouf City. Teaching Assistant (2001–2007): Princess Nourah University. Committee Member: Grades Monitoring & Interviews (2001–2007). Lecturer (2008–2021): Princess Nourah University. Assistant Professor (2021–Present): Physics Department. Quality Manager (2022–Present): Teaching & Learning, College of Science. Additional Roles: Academic advisor, training supervisor, committee leader, and lab organizer.

Awards and Honors🏅

Ideal Student Awards (1992 & 1995): Al-Jouf Region. Distinguished Student (2000): Princess Nourah University. Travel Awards (2018–2019): DAMOP, UNT, and COS for research presentations. Recognized for exceptional contributions to academic excellence and community engagement.

Research Focus 🔬

Theoretical studies on nuclear and atomic physics, focusing on quantum mechanics, particle interactions, and advanced simulations. Proficient in computational methods using Matlab, Python, and Mathematica for modeling complex systems.  Research on nuclear reactions, atomic energy levels, and spectroscopic analysis. Advocates for interdisciplinary applications of physics to solve global challenges.

✍️Publications Top Note :

High-Performance Supercapacitors (ZnSe/MnSe)

Study: Development of ZnSe/MnSe composites for supercapacitor electrodes using hydrothermal techniques.

Publication: Journal of Physics and Chemistry of Solids, 2024, 49 citations.

Impact: Enhanced capacitive performance through novel material synthesis.

2. g-C3N4/NiIn2S4 for Supercapacitors

Study: Hydrothermal fabrication of g-C3N4/NiIn2S4 composite materials.

Publication: Ceramics International, 2024, 35 citations.

Impact: Promising electrode material with high efficiency.

3. Nonlinear Plasma Waves

Study: Interaction of solitons in pair-ion–electron plasmas using the Hirota method.

Publication: Physics of Fluids, 2023, 30 citations.

Impact: Advances theoretical understanding of electrostatic plasma dynamics.

4. SrCeO3/rGO for Oxygen Evolution Reaction

Study: Hydrothermal synthesis of SrCeO3 nanocomposites for electrocatalysis.

Publication: Fuel, 2024, 27 citations.

Impact: Enhanced catalytic efficiency for clean energy applications.

5. BiFeO3 Supercapacitor Applications

Study: Mn-doped BiFeO3 as an electrode material for supercapacitors.

Publication: Journal of Energy Storage, 2024, 20 citations.

Impact: Novel application of perovskite materials for energy storage.

6. Radiation Shielding Polymers

Study: Optical and mechanical improvements in polyvinyl alcohol composites.

Publication: Journal of Rare Earths, 2023, 18 citations.

Impact: Optimized materials for gamma-ray attenuation.

7. NiS2@SnS2 Nanohybrids

Study: Water-splitting applications of NiS2@SnS2 nanohybrids.

Publication: Materials Chemistry and Physics, 2024, 15 citations.

Impact: Low-cost, efficient electrocatalysts for sustainable energy.

8. Ce-doped SnFe2O4 Supercapacitors

Study: Hydrothermal synthesis enhancing electrochemical performance.

Publication: Electrochimica Acta, 2024, 13 citations.

Impact: Improved energy storage capabilities of supercapacitors.

Conclusion

The candidate has a robust academic background, extensive teaching experience, and proven leadership capabilities, making them a strong contender for the Research for Best Researcher Award. Strengthening the portfolio with focused research publications and demonstrating broader impacts of their work will further enhance their prospects for this prestigious recognition.

ERHAN BAYSAL | Mechanical Engineering | Best Researcher Award

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Mr. ERHAN BAYSAL |  Mechanical Engineering | Best Researcher Award

Lecturer at Laser Research Centre, Zonguldak Bülent Ecevit Üniversitesi, China

Erhan Baysal is a Lecturer at Bülent Ecevit University, specializing in Mechanical Engineering. With a strong background in materials science and manufacturing processes, particularly in friction welding, he has contributed to numerous academic publications. His academic journey spans various prestigious institutions, and he actively participates in research and academic projects related to material behavior, mechanical design, and welding technologies. 📚🔧👨‍🏫

Profile

scholar

Education 🎓

Master’s in Mechanical Engineering, Bülent Ecevit University, 2019 🎓Bachelor’s in Mechanical Engineering, Fırat University, 2013

Experience 🏫💻

Lecturer, Bülent Ecevit University, 2016–present 🎓Researcher in national projects on manufacturing processes 🛠️Instructor in various courses including Strength of Materials and Manufacturing Processes

Awards and Honors 🏆

Contributor to several peer-reviewed articles in international journalsPublished in prestigious conferences and journals on materials and welding technologies 📑Awarded for his contribution to applied research in friction welding and mechanical design 🌍

Research Focus🔬🔩

Erhan Baysal’s research focuses on materials science, particularly the mechanical behavior and welding of aluminum alloys using friction stir welding. He also explores deformation processes in material shaping and manufacturing optimization.

Publication  Top Notes

An Overview of Deformation Path Shapes on Equal Channel Angular Pressing” (2022)

Authors: E. Baysal, O. Koçar, E. Kocaman, U. Köklü

Journal: Metals 12 (11), 1800

Summary: This paper discusses the deformation paths formed during equal channel angular pressing (ECAP). The study focuses on how different processing parameters, such as the angle of the channels, affect the microstructure and mechanical properties of the material.

“Mechanical Behavior of a Friction Welded AA6013/AA7075 Beam” (2022)

Authors: O. Koçar, M. Yetmez, E. Baysal, H.A. Ozyigit

Journal: Materials Testing 64 (2), 284-293

Summary: This research investigates the mechanical properties of beams made from AA6013 and AA7075 aluminum alloys joined via friction welding. The study examines the mechanical behavior of the weld joint, focusing on parameters such as strength, hardness, and fracture toughness.

“A New Approach in Part Design for Friction Stir Welding of 3D-Printed Parts with Different Infill Ratios and Colors” (2024)

Authors: O. Koçar, N. Anaç, E. Baysal

Journal: Polymers 16 (13), 1790

Summary: This paper introduces a novel approach to part design for friction stir welding (FSW) of 3D-printed parts. The study evaluates how different infill ratios and colors in 3D printing affect the welding process, quality, and mechanical properties of the final product.

“Eşit Kanallı Açısal Presleme Yönteminde Kanal Açılarının ve İç Köşe Kavisinin Deformasyona Etkisinin Sonlu Elemanlar Metodu ile İncelenmesi” (2023)

Authors: E. Baysal, O. Koçar, N. Anaç, F. Darıcı

Journal: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 38 (3), 859-873

Summary: This paper investigates the effect of channel angles and inner corner radii on deformation during equal channel angular pressing (ECAP) using finite element method (FEM) simulations. The research provides insights into how these factors influence material flow and structural integrity.

“Görüntü İşleme Teknikleri ile Rulo Sac Hassas Doğrultmada Silindir Konumlarının Belirlenmesi” (2021)

Authors: O. Koçar, S. Dikici, H. Uçar, E. Baysal

Journal: El-Cezeri 8 (2), 604-617

Summary: This article explores the use of image processing techniques to determine the cylinder positions in precision flattening of rolled sheets. The study demonstrates how computer vision can enhance manufacturing processes, particularly in achieving high precision in material deformation.

“3B Yazıcıda Üretilen Plakaların Sürtünme Karıştırma Kaynak Parametrelerinin YSA ile Tahmini” (2024)

Authors: N. Anaç, O. Koçar, E. Baysal

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 13 (1), 176-187

Summary: This paper presents a prediction model using artificial neural networks (ANN) to estimate the parameters for friction stir welding of 3D-printed plates. The research focuses on optimizing welding conditions to improve the quality and strength of the welded joints.

“Etial 180 Alaşımına İlave Edilen Bakırın Mikroyapı, Sertlik ve Korozyon Üzerindeki Etkisi” (2023)

Authors: E. Kocaman, E. Baysal, O. Koçar, A.S. Güldibi, S. Şirin

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 12 (2), 604-611

Summary: This study investigates the impact of adding copper to Etial 180 alloy, focusing on its effect on microstructure, hardness, and corrosion resistance. The findings highlight the potential improvements in material properties when copper is incorporated into the alloy.

“Barkhausen Noise as A Magnetic Nondestructive Testing Technique”

Authors: Ö. Adanur, O. Koçar, A.S. Güldibi, E. Kocaman, E. Baysal

Journal: Black Sea Journal of Engineering and Science 7 (4), 7-8

Summary: The paper explores the use of Barkhausen noise as a nondestructive testing (NDT) technique to assess the magnetic properties of materials. This method is useful in evaluating the integrity and structural health of components without causing damage.

“AA6013/AA7075 Alüminyum Malzemelerin Sürtünme Kaynağı Yöntemiyle Birleştirilmesi ve Analizi”

Authors: E. Baysal, O. Koçar, M. Yetmez, H.A. Ozyigit

Summary: This research focuses on the friction stir welding (FSW) of AA6013 and AA7075 aluminum alloys, analyzing the mechanical properties, microstructure, and joint quality achieved by this welding method.

Conclusion

Erhan Baysal has shown exceptional dedication to advancing mechanical engineering through his research and teaching. His focus on cutting-edge manufacturing technologies, coupled with his broad publication history, makes him a strong candidate for the Best Researcher Award. With further interdisciplinary integration and industry collaborations, he could significantly elevate the practical applications of his research, solidifying his role as a leading figure in the field. His ongoing work promises to continue shaping the future of mechanical engineering.

Abid Afsan Hamid | Engineering | Best Researcher Award

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Mr. Abid Afsan Hamid | Engineering | Best Researcher Award

Part Time Lecturer at Khulna University, Bangladesh

Abid Afsan Hamid is a passionate and dedicated scholar from Jashore, Bangladesh. Born on July 10, 1999, he is currently pursuing his MSc in Computer Science and Engineering at Khulna University, where he maintains a perfect CGPA of 4.00. Abid is known for his quick learning abilities and thrives under pressure, making him a valuable asset in any research team. His research interests lie in artificial intelligence and software engineering, particularly focusing on software evolution and maintenance. With a solid academic foundation, he aims to contribute significantly to the field of computer science.

Publication Profile

scholar

Education📚

Abid completed his BSc in Computer Science and Engineering at Khulna University, graduating with distinction and a CGPA of 3.86. He is currently pursuing an MSc at the same institution, achieving a remarkable CGPA of 4.00 over two terms. Prior to his university education, Abid excelled in his Higher Secondary Certificate (HSC) with a GPA of 5.00 and similarly achieved a GPA of 5.00 in his Secondary School Certificate (SSC). His strong academic performance reflects his dedication and commitment to his studies.

Experience 💼🔍

Abid has significant research experience through his undergraduate and graduate theses. His undergraduate thesis focused on software engineering, proposing a Composite Ranking mechanism for co-change candidates using programmer sensitivity. In his graduate thesis, he improved the suggestion-making accuracy of the FLeCCS technique by integrating semantics, resulting in a new model called iFLeCCS. Abid’s hands-on approach to research has equipped him with practical skills in software development and analysis, making him proficient in addressing real-world software challenges.

Awards and Honors🏆

Abid has consistently demonstrated academic excellence throughout his educational journey, earning recognition for his outstanding performance. His distinction in the BSc program at Khulna University is a testament to his hard work and dedication. Additionally, his contributions to software engineering research have been acknowledged by his professors and peers, further establishing his reputation as an emerging talent in the field. Abid’s commitment to continuous learning positions him for future accolades and achievements. 🏅🎖️

Research Focus🤖💻

Abid’s research interests lie primarily in artificial intelligence and software engineering, with a particular focus on software evolution and maintenance. His work aims to enhance software systems’ adaptability and functionality through innovative methodologies, such as the development of the iFLeCCS model. By combining theoretical insights with practical applications, Abid seeks to contribute to advancements in the field of software engineering, ultimately improving the efficiency and reliability of software systems.

Publication  Top Notes

Title: Ranking co-change candidates suggested by FLeCCS using programmer sensitivity

Authors: AA Hamid, MF Haque, M Mondal

Journal: Science of Computer Programming

Volume: 240

Article Number: 103216

Year of Publication: 2025

Conclusion

Abid Afsan Hamid demonstrates significant promise as a researcher in the field of computer science and engineering. His academic excellence, coupled with innovative research in software engineering, positions him as a strong candidate for the Best Researcher Award. While there are areas for improvement, particularly in expanding his research experience and publication record, his commitment to continuous learning and impressive academic achievements strongly support his candidacy. With further development and broader engagement in the research community, Abid is poised to make impactful contributions to the field of computer science.

JAEHYUK CHOI | Materials and Structures | Best Researcher Award

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Mr. JAEHYUK CHOI | Materials and Structures | Best Researcher Award

Assist Prof Dr at National Korea Maritime and Ocean University, South Korea

Mr. JAEHYUK CHOI is a distinguished professor at Korea Maritime and Ocean University with expertise in mechanical and marine engineering. After earning his Ph.D. from Hokkaido University, Japan, he has contributed significantly to fields like combustion engineering, high-temperature hydrogen production, and space utilization engineering. His professional journey includes a blend of academia, research, and industry advisory roles, including postdoctoral work at the Korea Atomic Energy Research Institute and advisory roles for Korea’s Ministry of Ocean and Fisheries. He has published extensively on air pollution control and hydrogen production modeling, contributing to global research initiatives.

Publication Profile

scopus

Education 🎓

Ph.D. in Mechanical Science (2005) – Hokkaido University, Japan (Advisor: Prof. Osamu Fujita) M.S. in Marine Engineering (2000) – Korea Maritime University, Korea (Advisor: Prof. Seok-Hun Yoon) B.S. in Marine Engineering (1996) – Korea Maritime University, Korea His educational journey has provided him with a robust foundation in mechanical and marine engineering, focused on areas such as combustion, fluid flow, and hydrogen production. The combination of Japanese and Korean maritime expertise enables him to develop cutting-edge models for air pollution control, combustion technologies, and high-temperature electrolysis, contributing to cleaner maritime operations. 🌐🌬️🚢

Experience 👨‍✈️

Naval Officer – 1996-1998 (Navy R.O.T.C 41, Korea) Researcher – 2000-2001 (Korea Maritime University) Research Student – 2001 (Hokkaido University, Japan Postdoctoral Researcher – 2005-2007 (Korea Atomic Energy Research Institute)  BK21 Assistant Professor – 2007-2009 (Seoul National University)  Assistant/Associate/Professor – 2009-present (Korea Maritime and Ocean University) Policy Advisory Council – 2017-2019 (Ministry of Ocean and Fisheries)  Visiting Scholar – 2019-2021 (University of Missouri) Mr. JAEHYUK CHOI has a rich professional background combining military service, academic research, and advisory roles. His international experience includes collaborations in Japan and the United States, broadening his expertise in nuclear hydrogen and marine engineering. 🛠️🌍

Awards and Honors🏆

Minister Citation – Ministry of Ocean and Fisheries (2018) Best Teacher Award – Korea Maritime and Ocean University (2014, 2017) 2000 Outstanding Intellectuals – IBC (2016) Minister Citation – Ministry of Science, ICT, and Future Planning (2015) Certificate – President of KMOU (2013, 2014) Outstanding Paper – Japan Society of Mechanical Engineers (2007 Outstanding Paper – Korean Society of Marine Engineering (2006 Certificate – Korea Atomic Energy Research Institute (2006) Mr. JAEHYUK CHOI has received numerous awards, recognizing his contributions to marine engineering and academia. His dedication to research and teaching is reflected in prestigious ministerial citations and multiple best paper awards from renowned engineering societies. 🏅📚🎖️

Publication  Top Notes

Experimental and numerical studies on performance investigation of a diesel engine converted to run on LPG
Authors: Kuk Kim, J., Lee, W.-J., Ahn, E., Choi, J.-H.
Published in: Energy Conversion and Management, 2024, 321, 119091
Summary: This paper investigates the performance of diesel engines converted to operate on LPG (liquefied petroleum gas). The study combines both experimental and numerical methods to analyze fuel efficiency, emissions, and engine performance.

Review of noise and vibration reduction technologies in marine machinery: Operational insights and engineering experience
Authors: Park, M.-H., Yeo, S., Choi, J.-H., Lee, W.-J.
Published in: Applied Ocean Research, 2024, 152, 104195
Summary: This review focuses on technologies aimed at reducing noise and vibration in marine machinery. The authors compile operational insights and lessons learned from engineering practices, emphasizing the importance of reducing environmental and human impacts in maritime applications.

Experimental evaluation of the significance of scheduled turbocharger reconditioning on marine diesel engine efficiency and exhaust gas emissions
Authors: Nyongesa, A.J., Park, M.-H., Lee, C.-M., Hur, J.-J., Lee, W.-J.
Published in: Ain Shams Engineering Journal, 2024, 15(8), 102845
Summary: This article presents an experimental study evaluating the impact of scheduled turbocharger reconditioning on the efficiency of marine diesel engines and associated exhaust gas emissions. The findings emphasize the importance of maintenance schedules for optimizing engine performance and reducing emissions.

Effects of natural gas admission location and timing on performance and emissions characteristics of LPDF two-stroke engine at low load
Authors: Nyongesa, A.J., Choi, J.-H., Lee, J.-W., Kim, J.-S., Lee, W.-J.
Published in: Case Studies in Thermal Engineering, 2024, 56, 104241
Summary: This paper investigates the effects of natural gas admission timing and location on the performance and emissions of low-pressure dual-fuel (LPDF) two-stroke engines. The results are crucial for optimizing engine operations under low-load conditions.

Estimation of greenhouse gas emissions from ships registered in South Korea based on activity data using the bottom-up approach
Authors: Yeo, S., Kuk Kim, J., Choi, J.-H., Lee, W.-J.
Published in: Journal of Engineering for the Maritime Environment, 2024
Summary: This study uses a bottom-up approach to estimate greenhouse gas emissions from ships registered in South Korea. The authors focus on activity data, providing a detailed methodology for assessing emissions from maritime transportation.

LPG, Gasoline, and Diesel Engines for Small Marine Vessels: A Comparative Analysis of Eco-Friendliness and Economic Feasibility
Authors: Kim, J.K., Yeo, S., Choi, J.-H., Lee, W.-J.
Published in: Energies, 2024, 17(2), 450
Summary: This article compares LPG, gasoline, and diesel engines for small marine vessels, focusing on their eco-friendliness and economic feasibility. The paper highlights LPG as a potential environmentally friendly alternative to traditional fuels.

Impact of K-H Instability on NO Emissions in N₂O Thermal Decomposition Using Premixed CH₄ Co-Flow Flames and Electric Furnace
Authors: Park, J., Kim, S., Yu, S., Choi, J.-H., Yoon, S.H.
Published in: Energies, 2024, 17(1), 96
Summary: This study examines the impact of Kelvin-Helmholtz (K-H) instability on nitrogen oxide (NO) emissions during nitrous oxide (N₂O) thermal decomposition in premixed methane co-flow flames. The findings contribute to understanding combustion instability’s role in emission characteristics.

Feasibility study on bio-heavy fuel as an alternative for marine fuel
Authors: Kim, J.-S., Choi, J.-H.
Published in: Renewable Energy, 2023, 219, 119543
Summary: This feasibility study explores the potential of bio-heavy fuel as a sustainable alternative to conventional marine fuels. The paper assesses the environmental and economic impacts of using bio-heavy fuel in maritime applications.

Corrigendum: Effects of hydrogen mixture ratio and scavenging air temperature on combustion and emission characteristics of a 2-stroke marine engine
Authors: Pham, V.C., Kim, J.-S., Lee, W.-J., Choi, J.-H.
Published in: Energy Reports, 2023, 9
Summary: The corrigendum addresses errors in a previously published article related to hydrogen mixture ratios and scavenging air temperature’s effects on two-stroke marine engine performance and emissions.

Effects of hydrogen mixture ratio and scavenging air temperature on combustion and emission characteristics of a 2-stroke marine engine
Authors: Pham, V.C., Kim, J.-S., Lee, W.-J., Choi, J.-H.
Published in: Energy Reports, 2023, 9, pp. 195–216

Conclusion

The candidate is highly suitable for the Best Researcher Award due to their comprehensive expertise, significant professional experience, and numerous accolades. Their research has substantial implications for environmental sustainability and technological advancement. By focusing on improving their publication output and fostering industry collaborations, the candidate can further solidify their impact and leadership in their field. Overall, the candidate’s strengths make them an exemplary choice for this prestigious award.

Jianzhi Li | Fiber sensing | Best Researcher Award

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Prof. Jianzhi Li | Fiber sensing | Best Researcher Award

 professor at Shijiazhuang Tiedao University,  china

Jianzhi Li is a Professor at the Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University, specializing in fiber sensing technology and structural health monitoring. 🌉 She earned her Ph.D. from Beijing Jiaotong University and later held an academic post at Osaka University, Japan. 🚄 Her work focuses on enhancing railway infrastructure safety through innovative sensing techniques. 📚 Jianzhi has published numerous SCI papers and authored several books. 🚀 Her groundbreaking contributions in the field have earned her multiple awards, cementing her status as a leading researcher in fiber optics and structural health.

Publication Profile

orcid

Education 🎓

Jianzhi Li earned her Ph.D. in Structural Diagnosis and Optimization from Beijing Jiaotong University in 2009. 📚 Her doctoral studies focused on identifying and solving complex structural challenges in engineering. 🌏 She further broadened her academic horizons by serving as an Associate Professor at Osaka University in Japan between 2014 and 2015. 🏛️ This role allowed her to collaborate internationally and enhance her expertise in fiber optic sensing technology. ✨ Throughout her education, she gained deep insights into the intersections of structural health and smart material technologies, which now form the cornerstone of her research endeavors.

Experience 🏢 

Jianzhi Li currently serves as a Professor at Shijiazhuang Tiedao University’s Key Laboratory of Structural Health Monitoring and Control. 🚇 She has led several high-impact projects, particularly in fiber optic sensing and structural health monitoring for railways and bridges. 🌉 During 2014–2015, she was an Associate Professor at Osaka University, contributing to international collaborations. 📊 With over 20 patents to her name and numerous published works in prestigious journals, her experience spans industry-relevant research and cutting-edge academic advancements. 💼 She also leads the China National Key Research and Development Program, contributing to the enhancement of railway infrastructure safety.

Awards and Honors  🏆

Jianzhi Li has received numerous awards, including the First Prize for Technological Invention in Hebei Province. 🌟 She was recognized with the “Best Paper” award at the 6th International Conference on Optoelectronic Sensing. 🎖️ Her outstanding research contributions have earned her prestigious honors such as the Hebei Outstanding Youth Talent Award and a place in the Hebei 333 Talent Program. 📜 She has authored three books, including an internationally recognized English-language textbook, and her innovative work in fiber sensing and structural health has placed her among the top researchers in China. 🌍 Her membership in the Chinese Optical Society and other professional groups reflects her impact on the scientific community.

Research Focus🔬

Jianzhi Li’s research is centered on fiber optic sensing technologies and structural health monitoring. 🚇 Her work addresses critical infrastructure challenges, including heavy-duty railway bridges and roadbeds. 🔧 She has been instrumental in advancing fiber-based sensing systems for monitoring railway hazards and enhancing safety through predictive detection. 🛰️ Her research extends to smart materials and their applications in dynamic environments, focusing on the early detection of structural anomalies. 🚀 Jianzhi’s contributions are practical and forward-looking, pushing the boundaries of electromagnetic and optical sensing in engineering, leading to the development of more robust and resilient civil structures.

Publication  Top Notes

Evaluation of Concrete Carbonation Based on a Fiber Bragg Grating Sensor
📅 Published: December 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi15010029
Contributors: Jianzhi Li, Haiqun Yang, Handong Wu

This paper introduces a novel approach for monitoring concrete carbonation using Fiber Bragg Grating (FBG) sensors, a crucial method for assessing structural durability.

A Long-Term Monitoring Method of Corrosion Damage of Prestressed Anchor Cable
📅 Published: March 2023
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi14040799
Contributors: Jianzhi Li, Chen Wang, Yiyao Zhao

This research presents a long-term monitoring technique for detecting corrosion in prestressed anchor cables, improving infrastructure safety and longevity.

A Combined Positioning Method Used for Identification of Concrete Cracks
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121479
Contributors: Jianzhi Li, Bohao Shen, Junjie Wang

This paper discusses a hybrid method for accurately identifying concrete cracks, advancing structural health monitoring.

A Spiral Distributed Monitoring Method for Steel Rebar Corrosion
📅 Published: November 2021
📰 Journal: Micromachines
🌐 DOI: 10.3390/mi12121451
Contributors: Jianzhi Li, Yiyao Zhao, Junjie Wang

Conclusion

Professor Jianzhi Li stands out as a strong candidate for the Best Researcher Award due to her exemplary research contributions, innovative spirit, and recognized leadership in the field of fiber sensing and structural health monitoring. Her achievements reflect not only her commitment to advancing science and technology but also her potential to further influence the field. With targeted improvements in professional engagement and industry collaboration, she could amplify her impact even more.

Mr. Ismail ELABBASSI | Applied physics and engineering sciences | Best Researcher Award | 3233

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Mr.  Moulay Ismail University, Morocco

Elabbassi Ismail is a Doctoral student and Professor in Physical Sciences and Chemistry at the Faculty of Sciences and Technology, Errachidia, Morocco. With a Master’s degree in Solar Technologies and Sustainable Development, he is currently pursuing a Ph.D. in Science and Technology. His research focuses on hybrid storage systems, energy management strategies, microgrid stability, green hydrogen, fuel cell technologies, artificial intelligence, and IoT. Elabbassi has extensive teaching experience and has presented at international conferences. He is proficient in MATLAB/SIMULINK, AutoCAD, and various energy modeling tools. His diverse expertise spans academic research, energy systems, and technical training.

Professional Profiles:

Scopus

Elabbassi Ismail: Doctorant

Profil Elabbassi Ismail est doctorant et professeur en sciences physiques et chimiques à la Faculté des Sciences et Techniques d’Errachidia, Maroc. Titulaire d’un Master en Technologies Solaires et Développement Durable de l’Université Moulay Ismail de Meknès, il prépare actuellement un doctorat en sciences et techniques. Ses recherches portent sur la modélisation des systèmes de stockage hybrides, la gestion de l’énergie, la stabilité des micro-réseaux, l’hydrogène vert, les technologies de véhicules à pile à hydrogène, l’intelligence artificielle et l’internet des objets. 🌍🔬

Compétences

Communication : Écriture en français et en anglais 📝Outils : MATLAB/SIMULINK, AutoCAD, Caneco BT, Rhapsodie, PVsys, Trnsys, Méteonorm ⚙️Enseignement : Cours, travaux pratiques, et dirigés 📚Modélisation et Automatisation : Projets en énergie photovoltaïque, Arduino 🤖Rédaction Scientifique : Articles, rapportsCentres d’IntérêtSport 🏅Lecture de la littérature scientifique 📖Enseignement 👨‍🏫Voyage ✈️

Expérience Professionnelle

Conférences :IEEE International Conference on Circuit, Systems and Communication, 2024 📊International Conference on Artificial Intelligence in Cybersecurity and Sustainability, 2024 🤖International Conference on Electrical Systems & Automation, 2024 🔋International Conference on Artificial Intelligence and Smart Environment, 2022 🌟Enseignement :Cours de circuits électriques et électroniques, thermodynamique, algorithmique 💡

Evaluation for Researcher Award

Strengths for the Award

  1. Diverse Research Focus: Elabbassi Ismail has a wide range of research interests, including hybrid storage systems, energy management strategies, green hydrogen, fuel cell technologies, and the integration of AI and IoT. This breadth of focus demonstrates a comprehensive understanding of contemporary issues in applied physics and engineering sciences.
  2. Relevant Publications and Conferences: Ismail’s recent participation in high-profile conferences and contributions to scholarly papers reflect a commitment to advancing knowledge in his field. His presentations on topics such as neural networks for power management, machine learning for energy storage, and advanced fault detection showcase his expertise and active engagement in cutting-edge research.
  3. Advanced Technical Skills: His proficiency in tools such as MATLAB/SIMULINK, AutoCAD, and various energy modeling software highlights his technical capabilities. This skill set is crucial for developing and implementing innovative solutions in applied physics and engineering.
  4. Teaching and Mentorship: Ismail’s experience as a professor and involvement in teaching practical modules demonstrate his dedication to education and mentoring. His ability to convey complex concepts and guide students and projects adds significant value to his research profile.
  5. Professional Training and Certifications: His continued education through various training programs in MATLAB, Python, and other relevant areas shows a commitment to staying updated with the latest tools and techniques in his field.

Areas for Improvement

  1. Publication Impact: While Ismail has presented at several conferences and contributed to various papers, there is a need for more high-impact journal publications to further establish his research influence and reach a broader audience.
  2. Interdisciplinary Collaboration: Expanding collaborations with researchers from different disciplines could enhance the scope and impact of his research. Engaging with experts in complementary fields might lead to novel insights and more comprehensive solutions.
  3. Research Visibility: Increasing the visibility of his research through open-access publications or broader dissemination of findings could help in gaining wider recognition and citations.
  4. Project Management: Strengthening skills in project management and leadership could help in effectively managing larger research projects and securing funding for innovative research initiatives.

 

✍️Publications Top Note :

Evaluating and Comparing Machine Learning Approaches for Effective Decision Making in Renewable Microgrid Systems
Authors: Elabbassi, I., Khala, M., Elyanboiy, N., Eloutassi, O., El Hassouani, Y.
Journal: Results in Engineering, 2024, 21, 101888
Abstract: This study evaluates and compares various machine learning techniques for decision-making in renewable microgrid systems.
Citations: 5

Enhancing Surface Defect Detection in Solar Panels with AI-Driven VGG Models
Authors: Yanboiy, N.E., Khala, M., Elabbassi, I., Hassouani, Y.E., Messaoudi, C.
Journal: Data and Metadata, 2023, 2, 81
Abstract: The article discusses improvements in detecting surface defects in solar panels using VGG models driven by artificial intelligence.
Citations: 1

Conference Papers:

Neural Network for FCEVs and RM Power Management using V2G Technology
Authors: Elabbassi, I., Khala, M., El Yanboiy, N., Eloutassi, O., El Hassouani, Y.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This paper explores the use of neural networks for managing power in Fuel Cell Electric Vehicles (FCEVs) and Renewable Microgrid (RM) systems using Vehicle-to-Grid (V2G) technology.
Citations: 0

Improving Solar Energy Monitoring: Advanced Deep Learning Predictive Model for Photovoltaic Power Generation
Authors: Khala, M., El Yanboiy, N., Elabbassi, I., El Hassouani, Y., Messaoudi, C.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This conference paper presents an advanced deep learning model for predicting photovoltaic power generation.
Citations: 0

Advanced Intelligent Fault Detection for Solar Panels: Incorporation of Dust Coverage Ratio Calculation
Authors: Elyanboiy, N., Eloutassi, O., Khala, M., El Hassouani, Y., Messaoudi, C.
Conference: 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2024
Abstract: The paper details a method for fault detection in solar panels by incorporating dust coverage ratio calculations.
Citations: 0

Comparative Study of Machine Learning for Managing EV Energy Storage with Battery-Hydrogen Tank
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Eloutassi, O., Messaoudi, C.
Conference: Advances in Science, Technology and Innovation, 2024, pp. 215–221
Abstract: This paper provides a comparative study of machine learning techniques for managing energy storage in electric vehicles with battery-hydrogen tank systems.
Citations: 0

Adaptive Neural Fuzzy Inference System (ANFIS) in a Grid Connected-Fuel Cell-Electrolyser-Solar PV-Battery-Super Capacitor Energy Storage System Management
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Layti, M.B.M., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 138–143
Abstract: This conference paper discusses the use of Adaptive Neural Fuzzy Inference Systems (ANFIS) for managing energy storage systems that combine fuel cells, electrolyzers, solar PV, batteries, and super capacitors.
Citations: 2

IoT-Based Intelligent System of Real-Time Data Acquisition and Transmission for Solar Photovoltaic Features
Authors: Elyanboiy, N., Khala, M., Elabbassi, I., Eloutassi, O., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 559–565
Abstract: This paper presents an IoT-based intelligent system for real-time data acquisition and transmission related to solar photovoltaic systems.
Citations: 1

Conclusion

Elabbassi Ismail exhibits many strengths that make him a strong candidate for the Researcher Award. His diverse research interests, technical expertise, and dedication to teaching and continuous learning highlight his significant contributions to the fields of applied physics and engineering sciences. Addressing areas for improvement, such as increasing publication impact and expanding interdisciplinary collaborations, could further enhance his profile and influence. Overall, his achievements and ongoing efforts position him well for recognition in this prestigious award.