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.

Mr. Yongbiao Mu | Lithium ion batteries | Best Researcher Award

Posted on 05/10/202405/10/2024 by ScienceFather

Mr. Yongbiao Mu | Lithium ion batteries | Best Researcher Award

PhD student of Medicine at Southern University of Science and Technology, China

Ph.D. in Material Science and Engineering (2021 – 2025) Southern University of Science and Technology (SUSTech), China Research Focus: Lithium/Zinc metal battery anodes, solid-state electrolytes, interface characterization.

Publication Profile

scholar

Education:

Ph.D. in Material Science and Engineering (2021 – 2025) Southern University of Science and Technology (SUSTech), China Research Focus: Lithium/Zinc metal battery anodes, solid-state electrolytes, interface characterization. M.S. in Materials Engineering (2016 – 2019) Harbin Institute of Technology (HIT), China Research Focus: Electrospun carbon nanofibers, CVD-grown vertically aligned graphene, lithium-ion battery anodes. B.S. in Water Quality Science and Technology (2004 – 2008) Nanjing Tech University, China Research Focus: Membrane materials, metal corrosion, and protection.

Work Experience:

Research Assistant (Mar. 2021 – Sep. 2021) Department of Mechanical and Energy Engineering, SUSTech, China. Engineer (Jan. 2019 – Mar. 2021) Materials Laboratory of Songshan Lake, Institute of Physics, Chinese Academy of Sciences, China.

Awards & Scholarships:

2023 National Scholarship for Ph.D. Students2023 Outstanding Graduate Student Model, SUSTech2023 Academic Star, SUSTech2022 Academic Star, SUSTech

Research Interests:

Key materials for secondary batteries (Lithium/Zinc metal anodes, solid-state electrolytes, high-energy-density silicon-carbon anodes).Advanced electrochemical characterizations (in-situ XRD, Raman, TEM, Aberration-Corrected EM, Cryo-EM).

Publication Top Notes

Graphene/MoS2/FeCoNi(OH)x and Graphene/MoS2/FeCoNiPx multilayer-stacked vertical nanosheets on carbon fibers for highly efficient overall water splitting

Authors: X. Ji, Y. Lin, J. Zeng, Z. Ren, Z. Lin, Y. Mu, Y. Qiu, J. Yu

Journal: Nature Communications, 2021

DOI: 10.1038/s41467-021-21735-3

Summary: This study presents the synthesis of vertical nanosheets composed of graphene, MoS2, and FeCoNi hydroxides/phosphides on carbon fibers. The engineered structure exhibits high catalytic activity for overall water splitting due to enhanced charge transfer properties and effective electrocatalytic performance.

2. A flexible, electrochromic, rechargeable Zn//PPy battery with a short circuit chromatic warning function

Authors: J. Wang, J. Liu, M. Hu, J. Zeng, Y. Mu, Y. Guo, J. Yu, X. Ma, Y. Qiu, Y. Huang

Journal: Journal of Materials Chemistry A, 2018

DOI: 10.1039/C8TA03155A

Summary: The research introduces a flexible Zn/PPy (polypyrrole) battery that features an electrochromic property allowing for a visual warning in case of a short circuit. This advancement improves battery safety and usability while maintaining high electrochemical performance.

3. 3D hierarchical graphene matrices enable stable Zn anodes for aqueous Zn batteries

Authors: Y. Mu, Z. Li, B. Wu, H. Huang, F. Wu, Y. Chu, L. Zou, M. Yang, J. He, L. Ye

Journal: Nature Communications, 2023

DOI: 10.1038/s41467-023-41448-0

Summary: This paper discusses the development of 3D hierarchical graphene matrices that significantly improve the stability of Zn anodes in aqueous Zn batteries, addressing issues of dendrite formation and enhancing cycling performance.

4. Growing vertical graphene sheets on natural graphite for fast charging lithium-ion batteries

Authors: Y. Mu, M. Han, J. Li, J. Liang, J. Yu

Journal: Carbon, 2021

DOI: 10.1016/j.carbon.2021.03.045

Summary: The authors present a method for growing vertical graphene sheets on natural graphite, which enhances the fast charging capability of lithium-ion batteries. The novel structure aids in improved lithium ion transport and cycling stability.

5. Nitrogen, oxygen‐codoped vertical graphene arrays coated 3D flexible carbon nanofibers with high silicon content as an ultrastable anode for superior lithium storage

Authors: Y. Mu, M. Han, B. Wu, Y. Wang, Z. Li, J. Li, Z. Li, S. Wang, J. Wan, L. Zeng

Journal: Advanced Science, 2022

DOI: 10.1002/advs.202104685

Summary: This study explores a novel anode design combining nitrogen and oxygen-doped vertical graphene arrays with high silicon content, resulting in improved lithium storage performance and stability.

6. Vertical graphene growth on uniformly dispersed sub-nanoscale SiO x/N-doped carbon composite microspheres with a 3D conductive network

Authors: M. Han, Y. Mu, F. Yuan, J. Liang, T. Jiang, X. Bai, J. Yu

Journal: Journal of Materials Chemistry A, 2020

DOI: 10.1039/C9TA12253F

Summary: The paper details the growth of vertical graphene on a novel composite microsphere structure, achieving enhanced conductivity and mechanical stability suitable for energy storage applications.

7. High zinc utilization aqueous zinc ion batteries enabled by 3D printed graphene arrays

Authors: B. Wu, B. Guo, Y. Chen, Y. Mu, H. Qu, M. Lin, J. Bai, T. Zhao, L. Zeng

Journal: Energy Storage Materials, 2023

DOI: 10.1016/j.ensm.2023.01.001

Summary: The authors report on a 3D printing technique to create graphene arrays, significantly improving zinc utilization in aqueous zinc-ion batteries while ensuring long-term cycling stability.

8. Growth of flexible and porous surface layers of vertical graphene sheets for accommodating huge volume change of silicon in lithium-ion battery anodes

Authors: M. Han, Z. Lin, X. Ji, Y. Mu, J. Li, J. Yu

Journal: Materials Today Energy, 2020

DOI: 10.1016/j.mten.2020.100445

Summary: This research focuses on creating flexible, porous vertical graphene layers that effectively manage the volume changes of silicon during cycling in lithium-ion batteries, thereby enhancing the durability of anodes.

9. Reconstruction of thiospinel to active sites and spin channels for water oxidation

Authors: T. Wu, Y. Sun, X. Ren, J. Wang, J. Song, Y. Pan, Y. Mu, J. Zhang, Q. Cheng, …

Journal: Advanced Materials, 2023

DOI: 10.1002/adma.202207041

Summary: This study investigates the transformation of thiospinel compounds into active sites for efficient water oxidation, contributing to advancements in photocatalytic water splitting technologies.

10. Oriented construction of efficient intrinsic proton transport pathways in MOF-808

Authors: X.M. Li, Y. Wang, Y. Mu, J. Gao, L. Zeng

Journal: Journal of Materials Chemistry A, 2022

DOI: 10.1039/D2TA02878K

Summary: This paper presents a method for constructing proton transport pathways in metal-organic frameworks (MOF-808), enhancing their efficiency in proton conduction applications.

11. Thermodynamically Stable Dual‐Modified LiF&FeF3 layer Empowering Ni‐Rich Cathodes with Superior Cyclabilities

Authors: Y. Chu, Y. Mu, L. Zou, Y. Hu, J. Cheng, B. Wu, M. Han, S. Xi, Q. Zhang, L. Zeng

Journal: Advanced Materials, 2023

DOI: 10.1002/adma.202212308

Summary: This research investigates a dual-modification approach to improve the stability and cyclability of Ni-rich cathodes, critical for advancing lithium-ion battery performance.

12. Flexible electrospun carbon nanofibers/silicone composite films for electromagnetic interference shielding, electrothermal and photothermal applications

Authors: Z. Li, Z. Lin, M. Han, Y. Mu, P. Yu, Y. Zhang, J. Yu

Journal: Chemical Engineering Journal, 2021

DOI: 10.1016/j.cej.2020.129826

Summary: The authors develop flexible composite films from electrospun carbon nanofibers and silicone, showcasing effective electromagnetic interference shielding and promising applications in electrothermal and photothermal technologies.

13. Recent advances in the anode catalyst layer for proton exchange membrane fuel cells

Authors: Z. Li, Y. Wang, Y. Mu, B. Wu, Y. Jiang, L. Zeng, T. Zhao

Journal: Renewable and Sustainable Energy Reviews, 2023

DOI: 10.1016/j.rser.2023.113182

Summary: This review summarizes recent advancements in anode catalyst layers for proton exchange membrane fuel cells, highlighting the materials and strategies that enhance performance.

14. High yield production of 3D graphene powders by thermal chemical vapor deposition and application as highly efficient conductive additive of lithium ion battery electrodes

Authors: X. Ji, Y. Mu, J. Liang, T. Jiang, J. Zeng, Z. Lin, Y. Lin, J. Yu

Journal: Carbon, 2021

DOI: 10.1016/j.carbon.2021.01.059

Summary: The authors present a method for producing 3D graphene powders via thermal chemical vapor deposition, which serve as highly efficient conductive additives in lithium-ion battery electrodes, enhancing electrochemical performance.

Marwa BEN SAID-ROMDHANE | Génie Electrique | Best Researcher Award

Posted on 05/10/202405/10/2024 by ScienceFather

Assist Prof Dr. Marwa BEN SAID-ROMDHANE | Génie Electrique | Best Researcher Award

Professor of Medicine at Ecole Nationale d’Ingénieurs de Tunis, Tunisia

A. Sayah is an accomplished Associate Professor at ISSAT Gabès, Tunisia, specializing in electrical engineering. With a strong academic background and significant research contributions, they are dedicated to advancing sustainable energy solutions. Their innovative work spans solar power systems and electric vehicles, making a notable impact in the field.

Publication Profile

scholar

Education🎓

Education: Ph.D. in Electrical Engineering (2012-2016) from ENIT, UTM, Tunisia, with a thesis focused on robust grid-connected converters. Previously earned an M.Sc. in Electrical Systems (2011-2012) and a B.Sc. in Electrical Engineering (2008-2011) from the same institution, showcasing a solid foundation in electrical engineering principles. 📚

Experience🛠️

Experience: Serving as an Associate Professor since 2020 at ISSAT Gabès, with prior positions at ENIT, UTM, and Ecole Nationale d’Ingénieurs de Carthage. They have also contributed as a Postdoctoral Researcher at LSE, enhancing their expertise in electrical energy applications and systems. 👨‍🏫

Awards and Honors🏆

Awards and Honors: Recipient of the 2023 SSHN award for high-level research stays and multiple excellence scholarships from the ENIT Doctoral School in 2016 and 2017. Additionally, they hold fellowships from Université de Tunis El Manar and serve on the scientific committee of key conferences. 🥇

Research Focus🔍

Research Focus: Their research primarily revolves around optimizing power systems in renewable energy applications, specifically focusing on solar-powered electric vehicles and microgrid technology. They strive to enhance power quality and energy efficiency, contributing to sustainable energy solutions in Tunisia and beyond. 🌞🔋

Publication Top Notes

Robust Active Damping Methods for LCL Filter-Based Grid-Connected Converters
- Authors: M.B. Saïd-Romdhane, M.W. Naouar, I. Slama-Belkhodja, E. Monmasson
- Journal: IEEE Transactions on Power Electronics
- Volume: 32
- Issue: 9
- Pages: 6739-6750
- Year: 2016
- Citations: 151
An Improved LCL Filter Design to Ensure Stability Without Damping and Despite Large Grid Impedance Variations
- Authors: M.B. Said-Romdhane, M.W. Naouar, I. Slama-Belkhodja, E. Monmasson
- Journal: Energies
- Volume: 10
- Issue: 3
- Article: 336
- Year: 2017
- Citations: 106
Simple and Systematic LCL Filter Design for Three-Phase Grid-Connected Power Converters
- Authors: M.B. Said-Romdhane, M.W. Naouar, I.S. Belkhodja, E. Monmasson
- Journal: Mathematics and Computers in Simulation
- Volume: 130
- Pages: 181-193
- Year: 2016
- Citations: 73
A Review on Vehicle-Integrated Photovoltaic Panels
- Authors: M. Ben Said-Romdhane, S. Skander-Mustapha
- Book: Advanced Technologies for Solar Photovoltaics Energy Systems
- Pages: 349-370
- Year: 2021
- Citations: 21
Grid Emulator for Small Scale Distributed Energy Generation Laboratory
- Authors: S. Skander-Mustapha, M.J.B. Ghorbal, M.B. Said-Romdhane, M. Miladi, …
- Journal: Sustainable Cities and Society
- Volume: 43
- Pages: 325-338
- Year: 2018
- Citations: 16
Time Delay Consideration for Robust Capacitor-Current-Inner-Loop Active Damping of LCL-Filter-Based Grid-Connected Converters
- Authors: M.B. Saïd-Romdhane, M.W. Naouar, I. Slama-Belkhodja, E. Monmasson
- Journal: International Journal of Electrical Power & Energy Systems
- Volume: 95
- Pages: 177-187
- Year: 2018
- Citations: 14
Analysis Study of City Obstacles Shading Impact on Solar PV Vehicle
- Authors: M.B. Said-Romdhane, S. Skander-Mustapha, I. Slama-Belkhodja
- Conference: 2021 4th International Symposium on Advanced Electrical and Communication …
- Year: 2021
- Citations: 7
Systematic Design Method for PI Controller with Virtual Resistor-Based Active Damping of LCL Filter
- Authors: M.B. Saïd-Romdhane, M.W. Naouar, I. Slama-Belkhodja
- Journal: Global Energy Interconnection
- Volume: 1
- Issue: 3
- Pages: 319-329
- Year: 2018
- Citations: 7
Adaptive Deadbeat Predictive Control for PMSM-Based Solar-Powered Electric Vehicles with Enhanced Stator Resistance Compensation
- Authors: M.B. Said-Romdhane, S. Skander-Mustapha, R. Belhassen
- Journal: Science and Technology for Energy Transition
- Volume: 78
- Pages: 35
- Year: 2023
- Citations: 4
Indirect Sliding Mode Power Control Associated with Virtual-Resistor-Based Active Damping Method for LLCL-Filter-Based Grid-Connected Converters
- Authors: M.B. Saïd-Romdhane, M.W. Naouar, I. Slama-Belkhodja, E. Monmasson
- Journal: International Journal of Renewable Energy Research
- Volume: 7
- Issue: 3
- Pages: 1155-1165
- Year: 2017
- Citations: 4
Enhanced Real-Time Impedance Emulation for Microgrid Equipment Testing and Applications
- Authors: I.S.B. M. Ben Said-Romdhane, S. Skander-Mustapha
- Conference: International Renewable Energy Congress
- Year: 2019
- Citations: 2

Conclusion

The individual is a strong candidate for the Best Researcher Award, with a robust educational foundation, impressive research contributions, a commendable publication record, and significant professional engagement. Their focus on sustainable solutions in electrical engineering aligns well with contemporary challenges, making their work highly relevant. By addressing areas for improvement, such as enhancing collaboration and visibility, they could further elevate their impact in the field. Overall, their combination of expertise, innovation, and commitment positions them as a leader worthy of this esteemed recognition.

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

Posted on 29/08/202429/08/2024 by ScienceFather

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

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

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.
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.
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.
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.
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

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.
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.
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.
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.

Xiangyan Zhang | wafer defect detection | Best Researcher Award

Posted on 27/07/202427/07/2024 by ScienceFather

Dr. Xiangyan Zhang | wafer defect detection | Best Researcher Award

Dr. Beijing University of Posts and Telecommunications , China

Xiangyan Zhang, a Ph.D. student at the School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, has a robust academic background with a Master of Engineering degree from Beijing University of Science and Technology (2023). His research focuses on wafer defect detection and machine vision, with significant contributions including DMWMNet, a dual-branch multi-level convolutional network achieving high performance in wafer map defect detection. Zhang has published 4 SCI papers, 2 EI conference papers, holds 2 invention patents, and 3 software copyrights. He collaborates with the China Academy of Engineering Physics

Professional Profiles:

Orcid

Academic and Professional Background 📚👩‍🎓

In June 2023, I was awarded a Master of Engineering degree from Beijing University of Science and Technology, and in September 2023, I commenced my Ph.D. studies at Beijing University of Posts and Telecommunications. To date, I have published 4 SCI papers, 2 EI conference papers, granted 2 invention patents, and obtained 3 software copyrights.

Research and Innovations 🔬💡

Completed/Ongoing Research Projects 🚀Vision-based robotic grasp detection projectWafer defect detection project

Citation Index 📑

Zhang, X., Jiang, Z., Yang, H., Mo, Y., Zhou, L., Zhang, Y., Li, J., Wei, S. (2024). DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136

✍️Publications Top Note :

Patent Authorization Number: ZL202210817429.4
A six-degree-of-freedom grasping detection algorithm based on semantic segmentation networks.

Patent Application Number: 202310654572.0
A grasping detection network based on RGBD images and semantic segmentation for residual fitting.

Zhang, Xiangyan, et al. (2024): DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136.

Zhang Qinjian†, Zhang Xiangyan†, et al. (2022): TMSCNet: A three-stage multi-branch self-correcting trait estimation network for RGB and depth images of lettuce. Frontiers in Plant Science, 13.

Wu Yalin, Zhang Qinjian, Zhang Xiangyan, et al. (2022):* Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems. Future Generation Computer Systems-the International Journal of Escience, 129: 1-12.

Zhang Wu, Li Haiyuan, Zhang Xiangyan, et al. (2021):* Research progress and development trend of surgical robot and surgical instrument arm. International Journal of Medical Robotics and Computer Assisted Surgery, 17(5).

Zhang Xiangyan, Li Haiyuan, et al. (2021):* Kinematics Analysis and Grasping Simulation of a Humanoid Underactuated Dexterous Hand. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO): 55-60.

Zhang Qinjian, Zhang Xiangyan, Li Haiyuan (2022):* A Grasp Pose Detection Network Based on the DeepLabv3+ Semantic Segmentation Model. International Conference on Intelligent Robotics and Applications (ICIRA): 747-758. (EI)

Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

Posted on 27/06/202427/06/2024 by ScienceFather

Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

Mr. Bingtao Wang, Shan Dong University, China

Bingtao Wang, currently a Master’s student in Communication Engineering at Shandong University (Weihai), holds a Bachelor’s degree in Electronic Engineering. His research focuses on energy consumption models and fault diagnosis in mobile robots. Bingtao has led multiple innovative projects, including the development of a quadcopter UAV and a visual perception crawler robot. His significant contribution lies in the creation of robust energy models and diagnostic methods that enhance the efficiency and reliability of Three-Wheeled Omnidirectional Mobile Robots (TOMRs), paving the way for future advancements in autonomous navigation and robotics.

Professional Profiles:

Orcid

🎓 Academic and Professional Background (100 words max):

Bingtao Wang, male, was born in Liaocheng City, Shandong Province in September 2001. In 2023, he graduated from Shandong University (Weihai) with a Bachelor’s degree in Electronic Engineering. He is currently pursuing a Master’s in Communication Engineering at Shandong University (Weihai), College of Electrical and Engineering. His research focuses on energy consumption model building and fault diagnosis.

📝 Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

✍️Publications Top Note :

Fault Detection and Diagnosis of Three-Wheeled Omnidirectional Mobile Robot Based on Power Consumption Modeling

Prof Dr. Claudio Urrea | Robotics | Best Researcher Award | 2751

Posted on 17/02/202420/02/2024 by ScienceFather

Prof Dr. Claudio Urrea | Robotics | Best Researcher Award

Prof Dr. Claudio Urrea, Universidad de Santiago de, Chile

Mr. Carlos Domínguez Acosta is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

ORCID

👨‍🎓 Education and Experience

I earned my B.Eng. from Universidad Tecnológica de La Habana, Havana, Cuba, in 2014. Following graduation, I served as a professor at Universidad Tecnológica de La Habana, contributing to the Faults Diagnosis and Parameters Estimation for Industrial Processes research group. Our work, focused on fuzzy logic for faults diagnosis, was presented internationally and published in a reputable journal. Currently pursuing a Ph.D. in Electric Engineering at Universidad de Santiago de Chile since March 2021, my research interests span robotics, automation, process control, artificial intelligence, faults diagnostics, and fault-tolerant control.

🌐 Research and Innovations

I have completed three research projects, with a citation index of 1 in Scopus/Web of Science. My cumulative impact factor for the last three years stands at 20.5. Aiming to bridge gaps in robotics, I’ve developed a novel 4-arm Delta parallel manipulator for the food industry, incorporating intelligent control and fuzzy logic techniques. These contributions form a foundation for future industrial applications and guide the next generation of researchers.

🏆 Achievements

Two journals published in Scopus, Web of Science, and PubMed indexes.Graduated two research scholars.Organized and presented at one conference.Received one award.

🚀 Contribution to R&D and Extension Activities

My research supports robotics development, specifically a 4-arm Delta manipulator for the food industry. Intelligent control and fuzzy logic techniques contribute to a space lacking attention, providing foundations for industrial applications and inspiring future researchers.

📝 Self Declaration

I affirm the accuracy and completeness of the provided information. Any concealment of material information may lead to the termination of my application. I have read and agreed to the terms, conditions, and policies of the International Research Awards.

📊 Citation Metrics (Google Scholar):

Citations by: All – 35, Since 2018 – 30

h-index: All – 1, Since 2018 – 1

i10 index: All – 1, Since 2018 –1

📖 Publications Top Note :

An approach to multiple fault diagnosis using fuzzy logic

paper publication in 2019 cite by 35

Modeling, design and control of a 4-arm delta parallel manipulator employing type-1 and interval type-2 fuzzy logic-based techniques for precision applications

paper publication in 2024

An approach to multiple fault diagnosis using fuzzy logic

paper publication in 2024

Prof. Gaurab Ghosh | Tologyrib | Best Researcher Award

Posted on 16/02/202416/02/2024 by ScienceFather

Prof. Gaurab Ghosh | Tologyrib| Best Researcher Award

Prof. Gaurab Ghosh, Indira Gandhi Institute of Technology, Sarang, India

Prof. Gaurab Ghosh is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

Scopus

ORCID

👨‍🏫 Personal Profile

Name: Gaurab Kumar Ghosh Designation: Assistant Professor, Mechanical Engineering Department, IGIT Sarang Father’s Name: Dharani Dhar Ghosh

🎓 Academic Credentials

Post Graduate Diploma in Applied Statistics (IGNOU): 89.1% (First Class Distinction)Master of Technology (Mechanical):Institute: Indian School of Mines, DhanbadBoard/University: Deemed UniversityCGPA: 9.99 (Gold Medalist)Year: 2015Bachelor of Technology (Mechanical):Institute: Veer Surendra Sai University of Technology, BurlaBoard/University: VSSUT, BurlaCGPA: 9.21Year: 2013Senior School Certificate Examination:Institute: Christ Jyoti Sr. Secondary School, Singrauli (M.P)Board: CBSE, New DelhiPercentage: 81.00Year: 2008Secondary School Examination:Institute: Christ Jyoti Sr. Secondary School, Singrauli (M.P)Board: CBSE, New DelhiPercentage: 88.40Year: 2006

💻 Software Skills

MATLABSolid WorksFluentLabViewMiniTabDesign ExpertOrigin Lab

🏢 Organizational Experience

IGIT, Sarang, Dhenkanal, Odisha:Designation: Assistant ProfessorNature of Appointment: RegularFrom: 19/7/2017To: PresentType of Organization: Govt. of Odisha (An Autonomous Institute)Aakash Educational Services Private Limited, New Delhi:Designation: Asst. Lecturer and Academic CoordinatorNature of Appointment: RegularFrom: 17/07/2015To: 13/07/ 2017Type of Organization: Private Institute

👥 Membership

Tribology Society of India (LM #6062)Associate Member of Institute of Engineers (AMIE) India (Membership No: AM3033581

🔬 Research Guidance (M.Tech)

Swapnesha Samal (1607105120): Incipient Gear Fault Diagnosis using Vibration Analysis and Fuzzy Logic Technique (2018)Subhakanta Nayak (1707105106): Mechanical Properties of Luffa Fibre and Jute Reinforced Epoxy Polymer with Graphene nanoparticles hybrid Composites. (2019)Vivek Das (1707105108): CFD Analysis of Losses in a Gearbox with Gear oil (SAE 80 W90) (2020)Shuvendu Kumar Panda (1907105045): Graphene Nano-Additives for energy efficiency in Gear Oil (SAE EP-90) (2021)

🎓 B.Tech (UG) Project Guidance

Fabrication of a Centralized Lubrication System-2017-2018Numerical Analysis of Fixed Slider Bearing under Thin Film Lubrication. 2018-19Numerical Analysis of Helical Gear Mesh and Modeling. 2019-20Analysis of Carbon Steel in Dry Turning Process for Product Sustainability Optimization using Taguchi technique. 2020-21