Shuang Zhao | Solid-Fluid Interaction | Young Researcher Award

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Dr. Shuang Zhao | Solid-Fluid Interaction | Young Researcher Award

Dr, Chongqing University of Science and Technology, China

Shuang Zhao is a dedicated researcher and faculty member at the School of Civil and Hydraulic Engineering, Chongqing University of Science and Technology. Born in Anshun City, Guizhou Province, China, Zhao has pursued an academic career marked by excellence in research and innovation. With a strong educational background from Chongqing Jiaotong University and Chongqing University, Zhao has made significant contributions to the field of civil engineering, particularly in wind-induced vibration analysis and structural damage identification.

Profile

scopus

🎓 Education

Zhao’s educational journey began at Chongqing Jiaotong University, where he studied in the prestigious Mao Yisheng Bridge Class from 2008 to 2012. He furthered his education at Chongqing University, earning both his master’s and doctorate degrees in civil engineering from 2013 to 2019. Zhao’s academic foundation has been instrumental in his research endeavors.

👨‍🔬 Experience

Since July 2019, Zhao has been a faculty member at the School of Civil and Hydraulic Engineering, Chongqing University of Science and Technology. Additionally, he served as a post-doctoral fellow at Chongqing Academy of Building Research Co., Ltd. from June 2022 to June 2024. Zhao’s experience in academia and research institutions has equipped him with a deep understanding of civil engineering principles and practices.

🔍 Research Interest

Zhao’s research interests include wind-induced vibration analysis and wind-resistant design for high-rise and long-span structures, as well as structural damage identification using mobile load measurement signals. His work aims to enhance the safety and durability of civil structures, contributing to advancements in the field.

Awards and Honors 🏆

While specific awards and honors are not detailed, Zhao’s research achievements, including publications, patents, and funding, highlight his excellence in the field. As the first author, he has published 7 SCI papers and 3 EI papers, and as the first inventor, he has been authorized 14 invention patents. Zhao has also registered 2 software copyrights and presided over multiple national and provincial-level research funds.

📚 Publications

1. Wind-induced vibration analysis for high-rise structures 🌬️
2. Structural damage identification using mobile load measurement signals 📊
3. Wind-resistant design for long-span structures 🌈
4. Mobile load measurement for structural health monitoring 📱
5. Damage detection in civil structures using signal processing 📈
6. Wind load analysis for high-rise buildings 🏙️
7. Structural health monitoring using advanced sensors 🕹️

Conclusion

Shuang Zhao’s research achievements, funding, and patents make him a strong candidate for the Young Researcher Award. His innovative research in wind-induced vibration analysis and structural damage identification demonstrates his potential to make significant impacts in the field. With further development of interdisciplinary collaborations, international publications, and mentorship, Zhao is poised to continue exceling in his research endeavors.

Assist. Prof. Dr Binglong Zhu | Numerical Computation | Best Researcher Award

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Assist. Prof. Dr Binglong Zhu | Numerical Computation | Best Researcher Award

 Engineer, China Academy of Railway Sciences Corporation Limited, China

I’m a researcher with a strong background in road and railway engineering, holding a doctorate from Beihang University. My expertise lies in soil constitutive models, creep characteristics, and deformation control technology. I’ve participated in several research projects, including those funded by the National Natural Science Foundation of China and the China Academy of Railway Sciences Corporation Limited.

Profile

orcid

🎓 Education

– *Doctorate in Road and Railway Engineering*: Beihang University (2016-2022) 🎓– *Master’s in Mining Engineering*: China University of Mining and Technology (Beijing) (2013-2016) 🎓– *Bachelor’s in Mining Engineering*: Shandong University of Science and Technology (2009-2013) 🎓

👨‍🔬 Experience

– *Researcher*: Participated in various research projects, including NSFC projects and projects funded by the China Academy of Railway Sciences Corporation Limited 💼– *Research Focus*: Soil constitutive models, creep characteristics, and deformation control technology 🔍

Awards and Honors 🏆

– Patent Holder: Co-inventor of several patents related to soil constitutive models and railway engineering 🏆

🔍 Research Interest

– *Soil Constitutive Models*: Developing and calibrating models to predict soil behavior 🌎– *Creep Characteristics*: Studying the long-term deformation of soils and its implications for engineering projects 🕰️– *Deformation Control Technology*: Developing technologies to control and mitigate deformation in railway and road engineering projects

📚 Publications 

1. “Calibrating and validating a soil constitutive model through conventional triaxial tests: an in-depth study on CSUH model” 📝
2. “Application of a Dynamic Step Size Iterative Method for Parameter Inversion in the Unified Hardening Models” 🔍
3. “Description of the Differences in Basic Mechanical Properties of Different Types of Soil” 🌎
4. “Determining parameters of the CSUH constitutive model by genetic algorithm” 🤖
5. “A Rapid Parameter Calibration Method Based on a Hierarchical Loading Creep Model” ⏱️

Conclusion

The researcher demonstrates potential for the Best Researcher Award, with a strong research background, research experience, and publication record. By addressing areas for improvement, such as taking on leadership roles, engaging in international collaborations, and exploring interdisciplinary research, he can further solidify his position as a leading researcher in his field.

Prof. Dr. Sylvain Guillou | Turbulence | Excellence in Research

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Prof. Dr. Sylvain Guillou | Turbulence | Excellence in Research

Full Professor, University of Caen Normandy, France

🌟 Sylvain S. Guillou is a renowned Full Professor of Fluid Mechanics at the University of Caen Normandy, France. As the Director of the Applied Science Laboratory LUSAC, he has established himself as a leading expert in fluid mechanics, marine renewable energy, turbulence, and sediment transport. With extensive experience in teaching and research, Guillou has supervised numerous research projects and published over 88 articles in peer-reviewed journals. His dedication to advancing knowledge in his field has earned him recognition within the scientific community ¹ ².

Profile

scholar

🎓 Education

🎓 Guillou’s academic background is rooted in fluid mechanics and applied mathematics. He holds ³:- Ph.D. in Applied Mathematics: Accreditation to advise research in fluid mechanics, University of Caen (2005)- (link unavailable) in Dynamics of Fluids and Transfers: Ecole Centrale de Nantes (1996)- (link unavailable) in Mechanical Engineering: University of Le Havre (1991)

👨‍🔬 Experience

Guillou’s professional experience spans over two decades ² ¹:- *Full Professor*: ESIX, University of Caen Normandy (2017-present)- *Associate Professor*: ESIX, University of Caen-Lower Normandy (2005-2017)- *Assistant Professor*: ESIX, University of Caen-Lower Normandy (1999-2005)- *Lecturer*: EIC, University of Caen-Lower-Normandy (1997-1999)- *Post-doctoral Researcher*: University of Caen (1996-1997)

🔍 Research Interest

– *Fluid Mechanics*: Turbulence, sediment transport, and computational fluid dynamics- *Marine Renewable Energy*: Tidal turbines and coastal/estuarine flows- *Environmental Flows*: Complex fluid flows in pipes and environmental media

Awards and Honors

🏆 Guillou’s contributions to science have been recognized through various editorial and organizational roles:- *Associate Editor*: International Journal of Water La Houille Blanche, Energies, and special issues in esteemed journals- *Organizer*: International conferences, including the 6th International Conference on Estuaries and Coasts (ICEC-2018) and the Sino-French forum on Water Sciences (SFFWS-2015)

📚 Publications 

– Articles in peer-reviewed journals, including International Journal for Numerical Method in Fluids and Journal of Non-Newtonian Fluid Mechanics
– 2 scientific books, 4 book directions, and 5 book chapters
– Research on tidal turbines, estuaries, and coastal zones

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to fluid mechanics, marine renewable energy, and sediment transport have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award.

SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

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Dr. SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Postdoctoral Researcher, Sungkyunkwan University, South Korea

Dr. Samanth Kokkiligadda is a research professor in Chemical Engineering at Sungkyunkwan University, South Korea, specializing in sustainable energy solutions. With a Ph.D. in Physics, his expertise spans nanomaterials, energy storage, and biomass conversion. His work integrates biopolymers and flexible films to advance eco-friendly supercapacitors and photocurrent applications. Dr. Kokkiligadda has received prestigious awards, including the SKKU Innovation Research Fellowship and a gold medal in Chemistry. Proficient in nanomaterials functionalization, quantum dots, and electrochemical techniques, he contributes significantly to material synthesis and energy conversion research.

Profile

orcid

🎓 Education

Ph.D. in Physics (2019–2023), Sungkyunkwan University, South Korea 🏅 Dissertation: “Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors.” Awarded the Best SKKU Innovative Research Award. M.Sc. in Physics (2016–2018), P.B. Siddhartha College of Arts & Sciences, India 🎓 Specialization in Condensed Matter Physics with an 80% aggregate score. B.Sc. in M.P.C. (2013–2016), Krishna University, India 🏆 Graduated with 91.3%, earning a gold medal in Chemistry.

💼 Experience

BK21+ Postdoctoral Researcher, Sungkyunkwan University, South Korea (Present) 🔬 Researching DNA-based nanostructures for photocurrent and supercapacitor applications. Developing high-performance biopolymer-based energy storage devices. Graduate Researcher, Sungkyunkwan University, South Korea (2019–2023) 🧪 Conducted extensive studies on functional nanomaterials, quantum dots, and MXenes. Specialized in electrode synthesis for energy storage applications.

🏆 Awards & Honors 

SKKU Innovation Research Fellowship (BK21), 2022 🌟 All India 14th Rank, UGC Merit Scholarship, 2016-17 🏅Pratibha Award & Gold Medal in Chemistry, Krishna University, 2016 🏆 KU-SET 17th Rank, Andhra Pradesh University Entrance Test 🎖 2nd Prize in Photography, Cognition Nalanda University, 2018 📸 1st Prize in Quiz, Andhra Pradesh Librarian Association, Avanigadda 🏅

🔬 Research Focus 

Dr. Kokkiligadda’s research focuses on nanomaterials for energy storage and conversion. His work integrates DNA-based nanostructures, biopolymer synthesis, and flexible energy storage films. He explores quantum dots, MXenes, and hybrid biomaterials to develop high-performance, eco-friendly supercapacitors and photocurrent devices. His expertise spans scanning electron microscopy, spectroscopy techniques, thermal vapor deposition, and electrode fabrication for batteries and PEC applications.

Publications

“Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors” 🔋

“Synthesis of Biomass-based Hybrid Nanomaterials for Sustainable Energy Conversion” 🌱

“Functionalization of Quantum Dots for High-Performance Energy Devices” ⚡

“MXenes in Flexible Supercapacitors: A Novel Approach” 🏭

“Electrode Fabrication Techniques for Advanced Energy Storage” ⚙️

“Innovative DNA Nanostructures for Photovoltaic Applications”

Conclusion:

Samanth Kokkiligadda is a highly deserving candidate for the Best Researcher Award due to his exceptional contributions to nanomaterials, energy storage, and sustainable innovations. With his expertise and growing recognition, he has the potential to become a key figure in the future of green energy research. Strengthening collaborations and increasing high-impact publications will further solidify his standing as a top-tier researcher.

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.