Assoc Prof Dr. Xiang Wang | Energy | Best Researcher Award

Assistant Professor at Nanjing Institute of Technology, China

Wang Xiang, is a distinguished researcher and master’s supervisor at the School of Energy and Power Engineering, Nanjing Institute of Engineering. He has over 20 years of expertise in mechanical vibration faults, fault diagnosis technology, and the development of vibration monitoring systems. Since 2007, he has been committed to teaching and research in the areas of steam turbines and digital electro-hydraulic control systems. His extensive practical and theoretical knowledge has benefited industries like power, chemical, and metallurgy through industry-university research collaborations. Wang has led over 50 research projects and published more than 20 academic papers, 9 of which are indexed in SCI and EI. His work has contributed to solving complex mechanical issues and ensuring the safe operation of key industrial equipment. He has been instrumental in developing advanced mechanical fault diagnosis systems and is well-regarded for his contributions to both academia and industry.

Professional Profile:

• Scopus Profile

Education🎓 

Wang Xiang holds a Ph.D. in Engineering from Hohai University, which he completed in 2015, following a Master’s degree in Engineering from Southeast University, obtained in 2007. His educational background has provided him with a solid foundation in the principles of mechanical and electrical engineering, with a focus on fault diagnosis technology and mechanical vibration monitoring. At both institutions, he gained significant exposure to cutting-edge research in engineering, contributing to his profound understanding of complex mechanical systems and the practical applications of theoretical research. His academic training has been instrumental in shaping his career, enabling him to lead significant projects in mechanical fault diagnosis and vibration analysis. His research skills have been enhanced by his studies in advanced mechanical systems, ultimately leading him to his current teaching and research role at Nanjing Institute of Engineering.

Professional Experience 💼

Wang Xiang has been serving as a faculty member at the School of Energy and Power Engineering, Nanjing Institute of Engineering since 2007. Over the past two decades, he has built a robust career in teaching, research, and industry collaboration, specializing in mechanical vibration faults and fault diagnosis systems for rotating machinery. His hands-on experience spans over 50 research projects and more than 20 power plants, including collaborations with renowned power generation companies such as Huaneng, Datang, and China Power Investment Corporation. His work involves fault diagnosis, system development, and on-site technical services for key industrial machinery, ensuring their optimal performance and safety. Wang has also contributed extensively to training technicians in thermal power plants, combining practical engineering solutions with academic research. He has led the implementation of advanced diagnostic tools like Emerson CSI systems and Bently DAIU-408 testers, enhancing the capabilities of mechanical health monitoring systems.

Research  Interest🔍

Wang Xiang’s research interests lie primarily in the areas of mechanical vibration faults, fault diagnosis technologies, and vibration monitoring systems for rotating machinery. His work focuses on the early detection and diagnosis of mechanical anomalies, with a particular emphasis on frequency spectrum analysis. He has made significant contributions to the development of advanced diagnostic tools, including mechanical health expert systems and multifunctional fault simulation test benches. His research aims to improve the reliability and safety of key industrial equipment by providing effective solutions for monitoring and diagnosing mechanical faults. Additionally, Wang’s research involves industry-university collaborations, where his practical engineering experience is combined with theoretical advancements to solve real-world challenges in sectors such as power generation, chemical processing, and metallurgy. His work continues to push the boundaries of mechanical fault diagnosis, focusing on enhancing system efficiency and ensuring the operational integrity of critical industrial systems.

Award and Honor

Publications top noted📜

 

• Wang, X., Du, Y.
  (2024). Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. Entropy, 26(6), 507.
  Citations: 1
• Wang, X., Du, Y.
  (2024). Fault Diagnosis Method for Wind Turbine Gearbox Based on Ensemble-Refined Composite Multiscale Fluctuation-Based Reverse Dispersion Entropy. Entropy, 26(8), 705.
  Citations: 0
• Wang, X., Xu, W.
  (2024). A Decoupled Approach to Enhance the Elrod Algorithm. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 238(1), 86–95.
  Citations: 1
• Xu, W., Wang, X., Huang, T., Yang, J.
  (2023). Efficient Implementation of Numerical Methods for Solving Bearing Cavitation Problems Using Symmetric System Solvers. Tribology International, 186, 108624.
  Citations: 3
• Wang, X., Jiang, H.
  (2023). Gearbox Fault Diagnosis Based on Refined Time-Shift Multiscale Reverse Dispersion Entropy and Optimised Support Vector Machine. Machines, 11(6), 646.
  Citations: 2
• Wang, X., Wang, J., Xu, W.
  (2022). Fault Diagnosis Method of Wind Turbine Gearbox Based on S-SLLE | 基于S-SLLE的风电机组齿轮箱故障诊断方法研究. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 43(3), 343–349.
  Citations: 3
• Song, G., Zhao, S., Wang, X., Wang, H., Xiao, J.
  (2022). An Efficient Biomass and Renewable Power-to-Gas Process Integrating Electrical Heating Gasification. Case Studies in Thermal Engineering, 30, 101735.
  Citations: 7
• Wang, J., Wang, J., Bi, X., Wang, X.
  (2016). Performance Simulation Comparison for Parabolic Trough Solar Collectors in China. International Journal of Photoenergy, 2016, 9260943.
  Citations: 24
• Wang, X., Zheng, Y., Zhao, Z., Wang, J.
  (2015). Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding. Sensors (Switzerland), 15(7), 16225–16247.
  Citations: 132

Assoc Prof Dr. Betül Özer | Energy | Best Researcher Award

Academician at Kırklareli University Technology Faculty, Turkey

Assoc. Prof. Dr. Betül Özer is a dedicated environmental engineer with a strong academic and research background. She holds a Ph.D. in Environmental Engineering from Istanbul Technical University, where she explored CO2 emission reduction in the Turkish electricity sector. With over two decades of experience in sustainable energy systems and environmental management, Dr. Özer has made significant contributions to both academia and applied research. She has supervised numerous master’s theses on renewable energy, sustainability, and biogas potential, contributing to the development of future experts. Her work is marked by an emphasis on practical applications, such as carbon footprint analysis, energy efficiency, and biogas production. Dr. Özer’s contributions have been recognized through high-impact projects and international collaborations, positioning her as a leader in environmental sustainability and clean energy solutions. 🌍💡

Professional Profile:

• ORCID Profile
• Scopus Profile

Education🎓 

Dr. Betül Özer’s academic journey is rooted in her passion for environmental engineering. She earned her Ph.D. in Environmental Engineering from Istanbul Technical University (İTÜ) in 2012, with a thesis focused on CO2 emission reduction potential in the Turkish electricity sector, supervised by Prof. Dr. Hüseyin Erdem Görgün and Prof. Dr. Salahattin İncecik. Prior to that, she completed her M.Sc. in Environmental Engineering from İTÜ in 2000, where her research addressed environmental management systems in the electrical components industry under the guidance of Prof. Dr. İlhan Talınlı. She began her academic career with a B.Sc. in Environmental Engineering from İTÜ, graduating in 1997. Throughout her education, Dr. Özer has demonstrated a strong commitment to tackling pressing environmental issues, laying the foundation for her future contributions in renewable energy and sustainability. 🎓📚

Professional Experience 💼

Dr. Betül Özer has an extensive career in both academia and applied research. She is currently an Associate Professor in the Energy Systems Engineering Department at Kırklareli University, where she supervises multiple research projects and master’s theses. Her professional experience includes leading significant projects such as the calculation of the carbon footprint for Kırklareli University’s Kayalı Campus and consultancy roles in national and international bioenergy and biogas initiatives. She has also contributed to the Republic of Turkey’s Ministry of Environment and Urbanization as an expert on emissions control and environmental management systems. Additionally, Dr. Özer served as a Postdoctoral Researcher for TÜBİTAK’s national air pollution emission management project and as a consultant on energy efficiency projects in various sectors. Her role as a leader in environmental research and her commitment to sustainability are reflected in her impactful work. 🌱🛠️

Research  Interest🔍

Dr. Betül Özer’s research interests focus on sustainable energy systems, renewable energy, and environmental management. Her primary area of expertise lies in reducing CO2 emissions, particularly in the Turkish electricity sector, where she has conducted extensive scenario analysis using energy-environment models. Dr. Özer is also deeply involved in exploring the potential of biogas energy from agricultural waste and animal by-products, contributing to the development of renewable energy resources in Turkey. Other key research interests include energy efficiency in industries such as textiles and cement, where her work has resulted in practical solutions to minimize environmental impact. She is passionate about carbon footprint reduction, particularly in the context of university campuses and organized industrial zones. Dr. Özer continues to explore innovative methods to integrate sustainability into energy systems, making her research crucial for addressing global environmental challenges. 🔋🌱

Award and Honor

Publications top noted📜

• Özer, B., Yay, A.S.E. (2021). “Comparative life cycle analysis of municipal waste management systems: Kırklareli/Turkey case study.” Environmental Science and Pollution Research, 28(45), pp. 63867–63877.
  Citations: 10
• Özer, B., Güven, B. (2021). “Energy efficiency analyses in a Turkish fabric dyeing factory.” Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 43(7), pp. 852–874.
  Citations: 5
• Ozer, B., Guven, B. (2019). “Energy Efficiency Implementation in a Fabric Finishing Factory in Turkey.” 2019 4th International Conference on Smart and Sustainable Technologies, SpliTech 2019, 8783010.
  Citations: 0
• Özer, B., Bayar, S. (2018). “Biomass as a renewable energy option in electricity generation: ‘Trakya region’ case study.” Green Energy and Technology, pp. 485–492.
  Citations: 1
• Özer, B. (2017). “Biogas energy opportunity of Ardahan city of Turkey.” Energy, 139, pp. 1144–1152.
  Citations: 32
• Özer, B., Incecik, S., Görgün, E. (2017). “The evaluation of CO2 emissions mitigation scenarios for Turkish electricity sector.” International Journal of Global Warming, 11(2), pp. 157–181.
  Citations: 1
• Özer, B. (2014). “Evaluation of Turkish electricity demand projections.” Progress in Exergy, Energy, and the Environment, pp. 559–568.
  Citations: 0
• Özer, B. (2013). “Biogas potential of animal wastes for electricity generation in Ardahan city of Turkey.” Causes, Impacts and Solutions to Global Warming, pp. 697–707.
  Citations: 2
• Özer, B., Görgün, E., Incecik, S. (2013). “The scenario analysis on CO2 emission mitigation potential in the Turkish electricity sector: 2006-2030.” Energy, 49(1), pp. 395–403.
  Citations: 71

Prof. Hong Fan | Energy | Best Researcher Award

Assistant Professor at Shanghai University of Electric Power, China

Dr. Hong Fan is an Associate Professor at the School of Electric Power Engineering, Shanghai University of Electric Power. With 15 years of experience, she specializes in optimizing power systems, focusing on power grid planning, smart grids, and simulation. Her impressive portfolio includes over 60 publications and numerous completed and ongoing research projects. Dr. Fan’s work has earned her significant recognition, including multiple prestigious awards. She is dedicated to advancing energy solutions and contributing to the field of electrical engineering.

Professional Profile:

• ORCID Profile

Education🎓 

Dr. Fan holds a Ph.D. in Electrical Engineering from Shanghai Jiaotong University (2009), a Master’s degree from Guangxi University (2004), and a Bachelor’s degree from Hubei University for Nationalities (1999). Her doctoral research focused on optimizing power system efficiency, laying a strong foundation for her subsequent career in electrical engineering. Her academic journey reflects a robust and comprehensive education in her field.

Professional Experience 💼

Since 2009, Dr. Fan has been an Associate Professor and master’s tutor at Shanghai University of Electric Power. She has led numerous research projects funded by the National Natural Science Foundation of China and various industry sponsors. Her previous roles include substantial contributions to research and teaching in power systems, optimizing power flows, and smart grid technologies. Her professional experience underscores her leadership and expertise in electrical engineering.

Research  Interest🔍

Dr. Fan’s research focuses on optimizing power systems, including power grid planning, optimal power flow, reactive power optimization, and smart grid technologies. Her work addresses critical challenges in energy efficiency and grid stability, aiming to enhance power system performance and reliability. Her ongoing projects explore cutting-edge solutions in energy management and smart grid integration, contributing significantly to advancements in electrical engineering.

Award and Honor

Publications top noted📜

 

Journal: Electric Power Systems Research
ISSN: 0378-7796
Type: Review
Role: Reviewer
Publisher: Elsevier Editorial
Review Date: 2023

Dr. Elham Khorashadizade | Energy | Best Faculty Award

Assistant Professor at Pasargad Institute for Advanced Innovative solutions (PIAIS), Iran

Elham Khorashadizade is a prominent Iranian physicist specializing in condensed matter physics with a focus on renewable energy technologies. Currently, she is a researcher at the Islamic Public of Iran, where she leads innovative projects on photoelectrochemical systems and catalysis. Elham’s extensive experience includes teaching various advanced physics courses and contributing to significant research initiatives, including solar cells and supercapacitors. Her international background, with research stints in Germany, and her role in advancing sustainable technologies underscore her dedication to impactful science.

Professional Profile:

• Scopus Profile

Education🎓 

Elham Khorashadizade earned her Ph.D. in Condensed Matter Physics from Sharif University of Technology, Iran, with a GPA of 19.50. Her thesis focused on enhancing the photoelectrochemical performance of titanium dioxide nanotubes. She completed a M.Sc. in Solid State Physics at the University of Birjand, where she investigated strontium hexaferrite nanoparticles. Elham also holds a B.Sc. in Physics from Ferdowsi University of Mashhad. She furthered her research skills during a sabbatical at Friedrich-Alexander University, Germany, under the supervision of Prof. Patrik Schmuki.

Professional Experience 💼

Elham Khorashadizade’s professional experience spans several roles in academia and research. As a researcher, she leads projects on photoelectrochemical systems and renewable energy technologies. She has taught various physics courses, including solar cells and analytical electrochemistry. Elham has served as a research assistant and teacher assistant at Sharif University of Technology, where she supervised projects related to titanium dioxide nanotubes and nanostructured materials. Her previous roles also include teaching physics courses at Payam Noor University and University of Birjand, Iran.

Research  Interest🔍

Elham Khorashadizade’s research interests are centered around advanced photoelectrochemical systems, solar cells, supercapacitors, and hydrogen production. She explores the effects of defect engineering in titanium dioxide nanotubes and develops new electrocatalysts for energy applications. Her work also includes fabricating nanostructured materials and enhancing supercapacitor performance. Elham is committed to advancing sustainable energy technologies through her innovative research, contributing significantly to the field of renewable energy.

Award and Honor

Publications top noted📜

 

1. Comparing Plasma Reduction and Thermal Hydrogenation in Oxygen Deficient TiO2-x Nanotubes for Photoelectrochemical H2 Production
   Khorashadizade, E., Rahimi, K., Mohajernia, S., et al.
   International Journal of Hydrogen Energy, 2024, 74, pp. 434–446
   📄 Citations: 0
2. Enhanced Photoelectrochemical Water Splitting via Hydrogenated TiO2 Nanotubes Modified with Cu/CuO Species
   Pour-Ali, S., Tavangar, R., Namdar-Asl, H., Esfandiari, N., Khorashadizade, E.
   Journal of Photochemistry and Photobiology A: Chemistry, 2024, 452, 115586
   📄 Citations: 1
3. Intrinsically Ru-Doped Suboxide TiO2 Nanotubes for Enhanced Photoelectrocatalytic H2 Generation
   Khorashadizade, E., Mohajernia, S., Hejazi, S., et al.
   Journal of Physical Chemistry C, 2021, 125(11), pp. 6116–6127
   📄 Citations: 25
4. Alkali Metal Cation Incorporation in Conductive TiO2 Nanoflakes with Improved Photoelectrochemical H2 Generation
   Khorashadizade, E., Mohajernia, S., Hejazi, S., et al.
   ChemElectroChem, 2020, 7(7), pp. 1699–1706
   📄 Citations: 12
5. Recent Progress on Doped ZnO Nanostructures for Visible-Light Photocatalysis
   Samadi, M., Zirak, M., Naseri, A., Khorashadizade, E., Moshfegh, A.Z.
   Thin Solid Films, 2016, 605, pp. 2–19
   📄 Citations: 601
6. Doping Effect on Crystal Structure and Magnetic Properties of Highly Al-Substituted Strontium Hexaferrite Nanoparticles
   Khorashadizade, E., Arabi, H., Yousefi, A.
   Applied Mechanics and Materials, 2012, 229-231, pp. 210–214
   📄 Citations: 2

Prof Dr. Yonghong Niu | Energy | Best Researcher Award

Professor at Inner Mongolia University of Science & Technology, China

Prof. Yonghong Niu, born on June 17, 1977, is a distinguished professor and doctoral supervisor at the School of Energy and Environment, Inner Mongolia University of Science and Technology. With a focus on renewable energy and strategic resources, he has significantly contributed to the clean and efficient use of biomass energy. He is recognized as a high-level talent in the Inner Mongolia Autonomous Region and has led numerous national and regional research projects. Prof. Niu’s innovative work and leadership have earned him a prominent position in the field of energy science and engineering. 📚🔬

Professional Profile:

• Scopus Profile

Education🎓 

Prof. Niu Yonghong holds advanced degrees in energy science and engineering, though specific degrees are not detailed. His education supports his expertise in renewable energy and strategic resources, enabling him to lead significant research projects and contribute to advancements in the field. His academic background lays a solid foundation for his work in energy conversion and utilization. 🎓🌍

Professional Experience 💼

Prof. Niu has an extensive career in renewable energy research, leading over 20 projects funded by the National Natural Science Foundation of China and the Inner Mongolia Natural Science Foundation. His roles include being an expert for national and regional scientific evaluations and serving as a special reviewer for prestigious journals. His professional journey reflects his commitment to advancing clean energy technologies and his influence in the field of energy science. 🌟🔬

Research  Interest🔍

Prof. Niu’s research focuses on the clean and efficient utilization of biomass energy, including the optimization of thermal conversion processes and catalyst development. He explores the use of rare earth resources to improve biomass energy systems and aims to advance the practical applications of renewable energy technologies. His work has significant implications for sustainable energy practices and strategic resource utilization. 🌱⚡

Award and Honor

Publications top noted📜

• Mechanistic analysis of hydrogen-rich Co-gasification of pine wood and polypropylene-based waste masks using Fe/Dol catalyst
  • Authors: Niu, Y.-H., Chi, Z.-Y., Wang, Z.-Q., Yang, M., Han, F.-T.
  • Journal: Journal of the Energy Institute
  • Year: 2024
  • Citation Count: 0 📅🔬
• Analysis of the effects of Pr1-xCexCoO3/dolomite catalyst on energy saving and carbon reduction in biomass gasification for the production of hydrogen-rich syngas
  • Authors: Niu, Y.-H., Chi, Z.-Y., Han, S., Li, M., Han, F.-T.
  • Journal: Journal of the Energy Institute
  • Year: 2024
  • Citation Count: 0 📅🔬
• Advancements in biomass gasification research utilizing iron-based oxygen carriers in chemical looping: A review
  • Authors: Niu, Y., Chi, Z., Li, M.
  • Journal: Materials Reports: Energy
  • Year: 2024
  • Citation Count: 0 📅🔍
• Non-isothermal and isothermal co-pyrolysis characteristics of coal gangue/coal slime and pine sawdust: Thermogravimetric analyzer and fixed bed pyrolysis reactor study
  • Authors: Niu, Y., Han, S., Hu, Y., Yang, M., Han, F.
  • Journal: International Journal of Hydrogen Energy
  • Year: 2024
  • Citation Count: 0 📅🔬
• Study on catalytic gasification of pine wood with cerium loaded dolomite based clay ceramics
  • Authors: Niu, Y.-H., Qian, X.-R., Liu, Z., Li, Y.-K.
  • Journal: Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology
  • Year: 2023
  • Citation Count: 1 📅🔬
• Biomass to hydrogen-rich syngas via tar removal from steam gasification with La1-XCeXFeO3/dolomite as a catalyst
  • Authors: Zhang, J., Niu, Y.
  • Journal: International Journal of Hydrogen Energy
  • Year: 2022
  • Citation Count: 13 📅🔥
• Co-gasification of coal gangue and pine sawdust on a self-made two-stage fixed bed: Effect of mixing ratio
  • Authors: Niu, Y., Hu, Y., Wang, W.
  • Journal: International Journal of Hydrogen Energy
  • Year: 2022
  • Citation Count: 8 📅⚗️
• Experiment on Pine Pyrolysis Based on Semi-coke Catalyzed by La
  • Authors: Niu, Y., Zhang, J., Cai, Y., Li, Y., Yang, Z.
  • Journal: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
  • Year: 2021
  • Citation Count: 2 📅🌲
• Experimental study on enhancement characteristics of steam/nitrogen condensation inside horizontal multi-start helical channels
  • Authors: Wen, J., Dou, Z., Zhong, J., Hu, Z., Zheng, D.
  • Journal: Open Physics
  • Year: 2021
  • Citation Count: 0 📅🔬
• Performance research of lanthanum-loaded dolomite catalyst for pine catalytic gasification
  • Authors: Niu, Y.-H., Song, Z.-Z., Li, Y.-K., Wen, J.-J., Zheng, K.-C.
  • Journal: Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology
  • Year: 2021
  • Citation Count: 6 📅🔬

Ms. Aicha Djalab | Energy | Best Researcher Award

Professor at Higher Education, University of Djelfa, Algeria

Aicha Djalab, born on August 13, 1979, in Djelfa, Algeria, is a dedicated researcher and academic in the field of Electrical Engineering. She holds a Doctorate degree in Electrical Engineering with a focus on Industrial Diagnostics and Renewable Energy Systems. Aicha is committed to advancing renewable energy technologies and optimizing photovoltaic systems through her innovative research.

Professional Profile:

• Google Scholar.

Education🎓 

🎓 Doctorate Degree (2020)
Field: Electrical Engineering
Specialty: Industrial Diagnostics
Thesis: Diagnosis of faults in a renewable energy system based on artificial intelligence techniques

🎓 Master’s Degree (2012)
Field: Electrical Engineering
Specialty: Automatic

Professional Experience 💼

🔬 Researcher
Institution: University of Djelfa, Algeria
Role: Doctoral Researcher focusing on renewable energy technologies and photovoltaic systems.

📚 International Conference Presenter
Aicha has presented her research at numerous international conferences, sharing insights into photovoltaic systems and renewable energy technologies.

Research  Interest🔍

🌞 Renewable Energy Technologies
🔋 Solar Power
⚙️ Electrical and Electronics Engineering
🤖 Fuzzy Logic Control
🔬 Photovoltaic Systems
☀️ Solar Radiations

Award and Honor

Publications top noted📜

• 📚 “The Impact of Strategic Vigilance on E-management in the National Railway Transport Company (SNTF)”
  • Authors: K Karima, D Zohra
  • Journal: Journal of Information Technology Management
  • Volume & Issue: 13 (2), 202-230
  • Citations: 21
  • Year: 2021
• 📚 “The Effect of Organisational Citizenship Behavior on Cultural Diversity: A Case Study of Ophthalmological Hospital Friendship Algeria-Cuba”
  • Authors: Djalab Zohra, Ali Naas Said, Kasmi Karima, Noori Al-hamdany Saba, Emad …
  • Journal: Business Ethics and Leadership
  • Volume & Issue: 7 (1), 25-36
  • Citations: 5*
  • Year: 2023
• 📚 “The Impact Of International Capital Flows On The Economic Growth In Algeria During The Period 1990-2018”
  • Authors: Djalab Zohra, Said Ali Naas
  • Journal: Les Cahiers du CREAD
  • Volume & Issue: 39 (1), 63-86
  • Citations: 1*
  • Year: 2023
• 📚 “Assessing the Impact of Competencies Management on Organizational Learning: A Case of the University of Djelfa, Algeria”
  • Authors: Djalab Zohra, Kasmi Karima, Siddig Balal Ibrahim, Said Ali Naas, Saba Noori …
  • Journal: Journal of Innovations and Sustainability
  • Volume & Issue: 7 (1)
  • Citations: 1
  • Year: 2023
• 📚 “The Role of Organizational Culture on Enhancing the Organizational Citizenship Behavior-A Field Study of the Algerian-Cuban Friendship Hospital for Ophthalmology in Djelfa”
  • Authors: D Zohra, H Tarek
  • Journal: Strategy and Development Review
  • Volume & Issue: 11 (2), 561-580
  • Citations: 1
  • Year: 2021
• 📚 “A Comprehensive Review of Floating Photovoltaic Systems: Tech Advances, Marine Environmental Influences on Offshore PV Systems, and Economic Feasibility Analysis”
  • Authors: A Djalab, Z Djalab, A El Hammoumi, GM TINA, S Motahhir, AA Laouid
  • Journal: Solar Energy
  • Volume: 277, 112711
  • Citations: Not available
  • Year: 2024
• 📚 “The Impact of Robotic Automation on Industrial and Productive Enterprises in Achieving Entrepreneurship”
  • Authors: Z Djalab, A Djalab, AA Laouid, AN Said, MEA Abdelli
  • Journal: International Journal on Engineering, Science and Technology
  • Volume & Issue: 6 (2), 189-203
  • Citations: Not available
  • Year: 2024
• 📚 “Investigating the Impact Of Organizational Climate On Organizational Silence In Higher Education Institutions”
  • Authors: DZ R Kettaf, K Karima
  • Journal: SocioEconomic Challenges (SEC)
  • Volume & Issue: 8 (1), 170-182
  • Citations: Not available
  • Year: 2024
• 📚 “L’IMPACT DES FLUX INTERNATIONAUX DE CAPITAUX SUR LA CROISSANCE ECONOMIQUE DE L’ALGERIE AU COURS DE LA PERIODE 1990-2018.”
  • Authors: Z DJALAB, AN SAID
  • Journal: Les Cahiers du CREAD
  • Volume: 39 (1)
  • Citations: Not available
  • Year: 2023
• 📚 “تقييم أثر ممارسات التسويق الداخلي في تعزيز اليقظة الإستراتيجية لمنظمات الأعمال – دراسة ميدانية في المديرية العملية لاتصالات الجزائر بالجلفة-‎”
  • Authors: جعلاب الزهرة، قاسمي كريمة‎
  • Journal: دراسات اقتصادية
  • Volume & Issue: 16 (01), 187-205
  • Citations: Not available
  • Year: 2022
• 📚 “واقع المسؤولية الاجتماعية والأخلاقية للمؤسسات العمومية الجزائرية في ظل الأوبئة العالمية كوفيد 19 نموذجا – دراسة تحليلية‎”
  • Authors: بعيرة فطوم، جعلاب الزهرة‎
  • Journal: تنمية الموارد البشرية
  • Volume & Issue: 16 (1), 147-171
  • Citations: Not available
  • Year: 2021
• 📚 “ضرورة إدارة التغيير لمنظمات الأعمال من خلال تفعيل دور الثقافة التنظيمية‎”
  • Authors: الزهرة جعلاب‎
  • Journal: دراسات اقتصادية
  • Volume & Issue: 9 (1), 22-32
  • Citations: Not available
  • Year: 2020
• 📚 “نحو التغيير الثقافي كمدخل حديث لتعزيز سلوكيات القيادة التحويلية في مديريات توزيع الكهرباء والغاز بالجزائر‎”
  • Authors: جعلاب الزهرة, هزرشي طارق, سعيد علي النعاس‎
  • Journal: مجلة العلوم الاقتصادية والتسيير والعلوم التجارية
  • Volume & Issue: 13 (1), 48-63
  • Citations: Not available
  • Year: 2020
• 📚 “القيادة التحويلية ودورها في تمكين رأس المال الفكري لمواجهة مقاومة التغيير – دراسة ميدانية في المديرية العملية لاتصالات الجزائر بالجلفة-“
  • Authors: جعلاب الزهرة . زيد الخير ميلود .‎
  • Journal: مجلة دفاتر اقتصادية
  • Volume & Issue: 6 (2), 62-80
  • Citations: Not available
  • Year: 2015
• 📚 “أثر الثقافة التنظيمية على إدارة التغيير: حالة شركة كهرباء إربد في الأردن”
  • Author: جعلاب، الزهرة بلقاسم بغداد
  • Journal: جامعة اليرموك
  • Year: 2009

Dr. Elnaz Yaghoubi | Energy | Best Researcher Award

Electrical and Electronics Engineering at karabuk university, Turkey

https://globalscholarawards.com/elnaz-yaghoubi-energy-best-researcher-award-24494/Elnaz Yaghoubi is a seasoned researcher with a notable career in both academia and industry. She has been leading research initiatives at PEDAR Group since 2023, focusing on innovative solutions for power systems and microgrids. Her work emphasizes enhancing the security, efficiency, and resilience of these systems through advanced methodologies. Elnaz’s professional background also includes significant experience in traffic monitoring and data support, as well as data network design, which complements her research efforts.

Professional Profile:

• Google Scholar.

Education🎓 

Elnaz Yaghoubi’s educational background underpins her expertise in power systems and microgrid technologies. She has a comprehensive foundation in her field, supported by advanced degrees and specialized knowledge:

• Current Pursuit: Elnaz is actively pursuing advanced research in her field through her current position as Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group.
• Previous Education: Her previous education includes specialized training and experience in data networks and telecommunications, which she applied in her professional roles.

Professional Experience 💼

Elnaz Yaghoubi has a robust background in both academia and industry, which is evident from her professional experience and research publications. She currently serves as the Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group, a role she has held since 2023. This position signifies a leadership role in a research-focused environment, suggesting her capacity to guide complex projects and contribute to cutting-edge advancements in power systems and microgrid technologies.

Research Skill🔍

Elnaz Yaghoubi possesses a diverse set of research skills that are critical to her role and contributions:

• Advanced Analytical Techniques: She employs sophisticated methods such as deep learning and model predictive control to address challenges in smart power microgrids.
• Cybersecurity Expertise: Her research focuses on enhancing security in power systems, highlighting her skill in tackling contemporary issues related to cyber-attacks and data integrity.
• Collaborative Research: Elnaz’s ability to collaborate with other experts, as seen in her co-authored publications, demonstrates her proficiency in working within multidisciplinary teams and contributing to high-impact research.

Award and Honor

Publications top noted📜

1. State-of-the-Art Review on Energy and Load Forecasting in Microgrids Using Artificial Neural Networks, Machine Learning, and Deep Learning Techniques

• Authors: R. Wazirali, E. Yaghoubi, M.S.S. Abujazar, R. Ahmad, A.H. Vakili
• Journal: Electric Power Systems Research
• Volume/Page: 225, 109792
• Year: 2023
• Summary: This review explores the latest advancements in forecasting energy and load requirements in microgrids through artificial neural networks, machine learning, and deep learning techniques. The paper discusses various methodologies and their effectiveness in improving the accuracy of forecasts in microgrid systems.

2. The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems

• Authors: M. Khaleel, E. Yaghoubi, E. Yaghoubi, M.Z. Jahromi
• Journal: International Journal of Electrical Engineering and Sustainable
• Volume/Page: 01-31
• Year: 2023
• Summary: This paper investigates the impact of mechanical energy storage systems on sustainable energy systems, focusing on the integration of artificial intelligence techniques to enhance system efficiency and sustainability.

3. Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi-Nanodisk Resonators in MIM Waveguide

• Authors: A.A. Faghani, E. Yaghoubi, E. Yaghoubi
• Journal: Optik
• Volume/Page: 237, 166697
• Year: 2021
• Summary: This research introduces a nanoplasmonic demultiplexer with a triple-channel glasses-shape configuration using multi-nanodisk resonators in a metal-insulator-metal (MIM) waveguide, aimed at advancing optical communication technologies.

4. Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison

• Authors: M. Khaleel, Y. Nassar, H.J. El-Khozondar, M. Elmnifi, Z. Rajab, E. Yaghoubi, et al.
• Journal: International Journal of Electrical Engineering and Sustainable
• Volume/Page: 1-20
• Year: 2024
• Summary: This article presents a comparative analysis of electric vehicle trends and market dynamics across China, Europe, and the United States, highlighting key factors influencing the adoption and development of electric vehicles.

5. Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide

• Authors: A.A. Faghani, Z. Rafiee, H. Amanzadeh, E. Yaghoubi, E. Yaghoubi
• Journal: Optik
• Volume/Page: 257, 168824
• Year: 2022
• Summary: This study proposes a tunable band-pass plasmonic filter and a wavelength triple-channel demultiplexer utilizing a square nanodisk resonator in an MIM waveguide, contributing to the field of plasmonic devices and optical filtering.

6. Reducing the Vulnerability in Microgrid Power Systems

• Authors: Z. Yusupov, E. Yaghoubi, V. Soyibjonov
• Journal: Science and Innovation
• Volume/Page: 2 (A5), 166-175
• Year: 2023
• Summary: This paper addresses strategies for minimizing vulnerabilities in microgrid power systems, focusing on enhancing resilience and security against potential disruptions.

7. A Systematic Review and Meta-Analysis of Artificial Neural Network, Machine Learning, Deep Learning, and Ensemble Learning Approaches in the Field of Geotechnical Engineering

• Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, A.H. Vakili
• Journal: Neural Computing and Applications
• Volume/Page: 1-45
• Year: 2024
• Summary: This review provides a comprehensive analysis of various learning approaches applied to geotechnical engineering, including artificial neural networks, machine learning, deep learning, and ensemble learning, assessing their effectiveness and trends.

8. Controlling and Tracking the Maximum Active Power Point in a Photovoltaic System Connected to the Grid Using the Fuzzy Neural Controller

• Authors: Z. Yusupov, E. Yaghoubi, E. Yaghoubi
• Conference: 2023 14th International Conference on Electrical and Electronics Engineering
• Year: 2023
• Summary: This conference paper discusses the use of a fuzzy neural controller to manage and track the maximum active power point in photovoltaic systems integrated with the grid, aiming to improve energy efficiency and system performance.

9. Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station

• Authors: Z. Yusupov, N. Almagrahi, E. Yaghoubi, E. Yaghoubi, A. Habbal, D. Kodirov
• Conference: World Conference on Intelligent Systems for Industrial Automation
• Volume/Page: 96-102
• Year: 2022
• Summary: This paper presents a model and control strategy for decentralized microgrids incorporating renewable energy sources and electric vehicle charging stations, addressing challenges and solutions in integrated microgrid management.

10. A Systematic Review and Meta-Analysis of Machine Learning, Deep Learning, and Ensemble Learning Approaches in Predicting EV Charging Behavior

• Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, D. Razmi, T. Lu
• Journal: Engineering Applications of Artificial Intelligence
• Volume/Page: 135, 108789
• Year: 2024
• Summary: This review explores predictive models for electric vehicle (EV) charging behavior using machine learning, deep learning, and ensemble learning approaches, evaluating their accuracy and applicability in forecasting charging patterns.

Dr. Masoumeh Bararzadeh Ledari | Energy | Best Researcher Award

Lecturer at Amirkabir university, Iran

Masoumeh Bararzadeh Ledari is a distinguished academic and researcher specializing in energy engineering and sustainability. She currently serves as a lecturer at AmirKabir University of Technology in Tehran, Iran. Her professional focus lies in optimizing resource management and advancing sustainable practices within the realms of energy and environmental systems. Ledari is recognized for her contributions to modeling and analysis related to the water-food-energy-climate nexus, circular resource management, and regenerative life models. Her extensive experience in academia and industry underscores her commitment to addressing critical challenges in energy and environmental sustainability.

Professional Profile:

• Google Scholar.

Education🎓 

Masoumeh Bararzadeh Ledari holds a Ph.D. in Energy Engineering from Sharif University of Technology, Tehran, Iran, where she completed her thesis on a hybrid technology evaluation model to minimize the physical cost of resource depletion on ecosystem sustainability. Prior to her doctoral studies, she earned a Master of Science in Energy Engineering from the same institution, focusing on flare load reduction at Assaluyeh gas refinery. Her undergraduate degree in Chemical Engineering was completed at Tehran University, where she specialized in recirculating gasifier modeling and laboratory settings.

Professional Experience 💼

• Roles in academia as a lecturer and instructor, and involvement in high-impact projects related to energy and environmental management.
• Experience as a scientific director, technical consultant, and head of technical groups for significant projects related to hydrogen production, carbon capture, and sustainable development.

Research Impact🔍

Ledari’s research interests encompass a wide range of topics related to sustainable energy and resource management. Her work includes developing models for the water-food-energy-climate nexus, resource management in terms of circularity, regenerative life models, and building engineering simulations. She also focuses on exergy analysis to mimic ecosystem processes, Life Cycle Assessment (LCA) development, and climate change mitigation strategies. These interests reflect her commitment to advancing sustainable solutions in energy and environmental management.

Academic Background🏅

Masoumeh Bararzadeh Ledari completed her Ph.D. in Energy Engineering at Sharif University of Technology, Tehran, Iran. Her doctoral thesis centered on developing a hybrid technology evaluation model to mitigate the physical cost of resource usage and depletion on ecosystem sustainability. She also holds a Master of Science in Energy Engineering from Sharif University of Technology, where she focused on flare load reduction in gas refineries. Her undergraduate studies in Chemical Engineering were completed at Tehran University, where she engaged in modeling and developing laboratory settings for gasification processes. This academic foundation has equipped her with a deep understanding of energy systems and their environmental impacts.

Award and Honor

Publications top noted📜