Hadi Gokcen | Engineering | Best Researcher Award

Published on by Research Scientist

Prof. Hadi Gokcen | Engineering | Best Researcher Award

Professor | Gazi University Industrial Engineering Department | Turkey

Prof. Hadi Gokcen is a highly accomplished scholar in Industrial Engineering with extensive expertise in optimization theory, multi-objective optimization, production planning and control, decision support systems, and supply chain management. He earned his PhD in Industrial Engineering from Gazi University, where he has served in progressive academic roles including Research Assistant, Lecturer, Associate Professor, and Professor. His professional experience also includes leadership positions such as Head of Department, Director of Graduate Studies, and University Executive Board Member, reflecting his deep commitment to academic administration and institutional advancement. His research interests lie in developing mathematical models and algorithms for optimization, enhancing efficiency in production systems, and applying decision-making techniques to logistics and service systems. Prof. Gokcen has been actively involved in various national and institutional research projects, contributing to the advancement of industrial and systems engineering education. His academic excellence has been recognized through numerous appointments to research commissions and educational leadership roles. He possesses strong research skills in linear and integer programming, mixed-integer optimization, and multi-objective decision analysis, supported by practical expertise in management information systems and engineering education. Prof. Gokcen’s impactful research is widely recognized, with 1,910 citations by 51 documents , and an h-index of 23, showcasing his strong academic influence and lasting contribution to the global research community.

Profiles : ORCID | Scopus | Google Scholar 

Featured Publications

1.Gök, B., Davun, Ş., & Gökçen, H. (2024, June 28). Digital transformation perception scale. In Handbook of Research on Digital Transformation Management and Tools (Chapter 7). IGI Global.

2.Uçucu, A., Gök, B., & Gökçen, H. (2024, March 27). Prediction of life quality index value rankings of countries after the COVID-19 pandemic by artificial neural networks. Politeknik Dergisi.

3. Şahiner Yılmaz, Ş., Özer, İ., & Gökçen, H. (2022, October 26). Twitter platformundan elde edilen Türkçe saldırgan dil derlemi. Mühendislik Bilimleri ve Araştırmaları Dergisi.

4. Bayraktar, C., & Gökçen, H. (2020, December 31). Yüksek raflı depolama sistemlerinin enerji optimizasyonunda anomali tespiti için sınıflama algoritmalarının karşılaştırılması. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi.

5. Foroughi, A., Gökçen, H., & Tiacci, L. (2016). The cost-oriented stochastic assembly line balancing problem: A chance constrained programming approach. International Journal of Industrial Engineering:

Sakshi Dua | Engineering | Best Researcher Award

Published on by Research Scientist

Assoc. Prof. Dr. Sakshi Dua | Engineering | Best Researcher Award

Associate Professor | Lovely Professional University | India

Dr. Sakshi Dua is an accomplished academic and researcher currently serving as Associate Professor at the School of Computer Applications, Lovely Professional University, Jalandhar-Phagwara, Punjab, India. She holds a Ph.D. in Computer Science and has over 14 years of professional experience as Assistant Professor before her current role. Her research interests span artificial intelligence, Internet of Things, Arduino, machine learning, fuzzy systems, network operating systems, and database management systems. She has contributed as Guest Editor for reputed ABDC and Scopus-indexed journals, authored book chapters with CRC Press, Taylor & Francis, and IGI Global, and is actively involved in book editorial projects with CRC Press and Emerald. She has published widely in SCIE, Scopus, ABDC, and UGC-indexed journals, as well as in IEEE and Springer conferences, and has presented her research internationally. Her contributions extend to applied innovation with patents and copyrights in diverse areas such as smart healthcare, ICT, and IoT-based solutions. She has chaired sessions at IEEE conferences, delivered workshops and FDPs, and guided students through impactful academic and research projects. Her skills include advanced data analysis, algorithm design, applied AI and IoT development, research writing, and academic leadership. Dr. Sakshi Dua has earned recognition through her impactful scholarly work, editorial leadership, and strong community engagement. She has received 71 citations by 9 documents with an h-index of 1.

Profile :  Scopus

Featured Publication

1. Dua, S. (2025). Blockchain-based node authentication algorithm for securing electronic health record data transmission.

Yu Cheng Wang | Engineering | Best Research Article Award

Published on by Research Scientist

Assoc. Prof. Dr. Yu Cheng Wang | Engineering | Best Research Article Award

Aeronautical Engineering Of Chair at Chaoyang University of Technology | Taiwan

Prof. Dr. Yu Cheng Wang  is a distinguished academic and researcher, currently serving as Associate Professor and Chair of the Department of Aeronautical Engineering at Chaoyang University of Technology, Taiwan. He holds a Ph.D. in Industrial Engineering from Feng Chia University and has built a reputation for advancing research at the intersection of aeronautical systems, intelligent manufacturing, and explainable artificial intelligence. With more than publications in SCI and Scopus-indexed journals, his contributions have made significant impact in manufacturing optimization and decision-support systems. He has an h-index of  with over citations, reflecting the scholarly influence of his work. Prof. Wang also collaborates extensively with colleagues across Taiwan and internationally, bridging academic research and industry practice. His work on Industry 4.0 applications in semiconductor manufacturing showcases his commitment to developing transparent and human-centered AI systems that directly address real-world industrial challenges.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Prof. Dr. Yu Cheng Wang pursued his academic journey with a focus on engineering, systems, and innovation. He earned his Ph.D. in Industrial Engineering from Feng Chia University, Taiwan, where his doctoral research laid the foundation for his expertise in intelligent systems and complex manufacturing processes. His educational background reflects a strong balance between theoretical modeling and applied problem-solving. Dr. Wang’s training emphasized operations research, production systems, and the integration of artificial intelligence into industrial applications, which later expanded into explainable AI frameworks for decision support. His solid grounding in industrial engineering principles has allowed him to extend his research into aeronautical systems and semiconductor manufacturing. With this interdisciplinary academic foundation, he has successfully bridged domains such as fuzzy theory, optimization, and smart manufacturing, enabling him to pursue pioneering research in Industry 4.0. His educational journey demonstrates a commitment to combining engineering rigor with innovative technological applications.

Experience 

Prof. Dr. Yu-Cheng Wang has extensive academic and professional experience that combines leadership, research, and industry collaboration. As Department Chair and Associate Professor at Chaoyang University of Technology, he oversees curriculum development, research strategy, and faculty mentorship in aeronautical engineering. His leadership extends to managing cross-disciplinary projects that integrate aeronautical engineering with intelligent manufacturing and artificial intelligence applications. He has spearheaded major research initiatives, including the Industry 4.0 XAI project for wafer-fab output forecasting, a groundbreaking effort that combines machine learning with interpretability for industrial decision-making. His experience also spans consultancy projects that provide practical solutions for semiconductor manufacturing, aligning academic research with industry needs. Prof. Wang’s editorial contributions over appointments demonstrate his recognition as a peer reviewer and thought leader in his field. Through collaborations with colleagues such as Tin-Chih Toly Chen and Chi-Wei Lin, he has broadened his international research presence and strengthened academia-industry knowledge exchange.

Research Interest

Prof. Dr. Yu-Cheng Wang’s research interests lie at the intersection of aeronautical engineering, smart manufacturing, and artificial intelligence. His primary focus is on explainable AI (XAI), where he develops models that not only achieve predictive accuracy but also provide transparency and interpretability for industrial decision-makers. He applies these methods to semiconductor manufacturing, Industry 4.0 environments, and production planning, ensuring that complex systems are optimized while remaining human-understandable. His work extends to fuzzy theory and decision analytics, particularly in contexts where uncertainty and complexity are critical, such as aerospace systems and large-scale industrial operations. Beyond manufacturing, Dr. Wang also explores applications of XAI in training and maintenance, including VR-based approaches for sustainable engineering education. By linking advanced computational models with practical engineering needs, his research contributes to both academic advancement and industry transformation, ensuring technological innovation supports efficiency, sustainability, and human factors integration.

Award and Honor

Prof. Dr. Yu-Cheng Wang has earned recognition for his scholarly contributions and leadership in the fields of aeronautical engineering and artificial intelligence. His publications in high-impact international journals such as The International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, and Decision Analytics Journal highlight his academic influence and earned him strong citation metrics, with an h-index of 15 and more than citations. These achievements reflect his standing in the research community. His editorial appointments  across SCI and Scopus-indexed journals demonstrate the trust placed in him as a global reviewer and evaluator of cutting-edge research. He has also been actively involved in industry-driven projects, bridging academia and practical innovation, which further highlights his leadership. Recognition through research funding, collaborations, and invitations to contribute to international projects underscores his role as a thought leader. Collectively, these honors validate his impact as a forward-looking scientist and educator.

Research Skill

Prof. Dr. Yu Cheng Wang possesses a robust set of research skills that combine technical depth with interdisciplinary application. He is proficient in developing explainable AI frameworks, integrating advanced machine learning models with interpretability methods such as SHAP and rule-based surrogates to improve transparency in industrial decision systems. His expertise extends to fuzzy theory, production planning, and smart manufacturing analytics, making him adept at tackling complex and uncertain problems in both aeronautical and industrial domains. He has successfully applied these skills to semiconductor manufacturing, leading research on wafer-fab output forecasting that directly supports industry needs. In addition to computational modeling, Dr. Wang demonstrates strong skills in data analytics, simulation, and optimization, enabling him to bridge theory with real-world application. His experience with large-scale collaborations and consultancy projects further reflects his ability to integrate technical innovation with industry practices, positioning him as both a problem solver and research leader.

Publication Top Notes

Title: An explainable decision model for selecting facility locations in supply chain networks
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Yi-Chi Wang
Journal: Supply Chain Analytics
Year: 2025

Title: Enhancing the effectiveness of output projection in wafer fabrication using an Industry 4.0 and XAI approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Chi-Wei Lin
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Authors: Yu-Cheng Wang; Toly Chen
Journal: Expert Systems with Applications
Year: 2024

Title: Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
Authors: Tin-Chih Toly Chen; Yu-Cheng Lin; Yu-Cheng Wang
Journal: Applied Soft Computing
Year: 2023

Title: Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
Authors: Yu-Cheng Wang
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2023

Title: Improving people’s health by burning low-pollution coal to improve air quality for thermal power generation
Authors: Tin-Chih Toly Chen; Teng Chieh Chang; Yu-Cheng Wang
Journal: Digital Health
Year: 2023

Title: A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment
Authors: Toly Chen; Yu-Cheng Wang; Pin-Hsien Jiang
Journal: Decision Analytics Journal
Year: 2023

Title: New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Authors: Yu-Cheng Wang; Toly Chen
Journal: Complex & Intelligent Systems
Year: 2023

Title: A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction
Authors: Toly Chen; Yu-Cheng Wang
Journal: Decision Analytics Journal
Year: 2023

Title: 3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Yu-Cheng Lin
Journal: Aerospace
Year: 2023

Title: An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Min-Chi Chiu
Journal: Applied Soft Computing
Year: 2023

Title: A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Hsin-Chieh Wu
Journal: Decision Analytics Journal
Year: 2023

Title: An explainable deep-learning approach for job cycle time prediction
Authors: Yu-Cheng Wang; Toly Chen; Min-Chi Chiu
Journal: Decision Analytics Journal
Year: 2023

Conclusion

Dr. Yu-Cheng Wang has consistently demonstrated academic excellence and research innovation across aeronautical engineering, explainable AI, and smart manufacturing systems. In publications in leading SCI/Scopus-indexed journals, an h-index of , and more than  citations, his work bridges theory with impactful industrial applications, particularly in semiconductor manufacturing and Industry 4.0 transformations. His leadership as Department Chair, coupled with collaborations with renowned scholars, highlights his influence on both research and education. Recognized for advancing interpretable AI for real-world adoption, Dr. Wang’s contributions embody the spirit of innovation, making him a strong and deserving candidate for the Best Researcher Award.

Salah Mokred | Engineering | Best Researcher Award

Published on by Research Scientist

Dr.Salah Mokred | Engineering | Best Researcher Award

PhD Candidate at Southeast university ,China

Salah Mokred is an accomplished electrical engineer and power systems researcher, currently pursuing his Ph.D. in Electrical Engineering at Southeast University, China . With deep expertise in  power system stability, analysis, and planning, he has contributed significantly through high-impact research and international publications . Salah holds a Master’s degree in Electric Power Systems from North China Electric Power University and a Bachelor’s from Sana’a University . He served as a teaching assistant at Sana’a University and has also worked on critical infrastructure projects involving Yemen’s national grid . Known for his commitment to innovation and resilience, Salah combines technical excellence with leadership and collaboration . His work has been recognized with multiple honors and CSC scholarships . Proficient in MATLAB, ETAP, and technical programming , Salah continues to drive forward cutting-edge research in voltage stability and smart grid protection technologies.

Professional Profile

ORCID

GOOGLE SCHOLAR

📘 Education and Experience 

Salah Mokred’s academic path began with a B.Sc. in Electrical Engineering from Sana’a University, Yemen (2009–2013) . He then pursued his M.Sc. in Electric Power Systems at North China Electric Power University (2017–2020) , and is currently finalizing his Ph.D. in Electrical Engineering at Southeast University (2020–2024) . His research focuses on power system stability and voltage collapse prediction . Professionally, he worked as a Teaching Assistant at Sana’a University (2014–2016)  and contributed to Yemen’s national grid security through a project analyzing high-voltage line attacks . Salah also served as an engineering consultant at Garmah Plastic Company in 2016–2017 . His practical experience blends academic excellence with field applications, especially in power grid protection and distribution system enhancement . Salah’s expertise extends to technical tools like MATLAB, ETAP, FORTRAN, and PLC systems .

📈 Professional Development 

Salah Mokred continually expands his professional skills through academic research, international conferences, and specialized training programs . He has completed training in English and programming at SEEDS Education Center , and undertaken advanced technical courses in PLC control, power grid analysis, and power system protection relay selection . Salah has actively participated in IEEE conferences, contributing to papers on voltage stability indices, capacitor bank applications, and intelligent grid technologies . His strong computer proficiency includes MATLAB, ETAP, C, FORTRAN, and MS Office tools . Salah also demonstrates strong leadership, communication, and teamwork skills, enabling him to contribute effectively to multidisciplinary research and collaborative engineering projects . He continues to advance professionally through scholarly publications in top-tier journals (SCI, Q1/Q3) and by collaborating with peers and mentors at Southeast University .

🔬 Research Focus

Salah Mokred’s research is rooted in the domain of Electrical Engineering, particularly in Power Systems . His focus lies in Voltage Stability Assessment, Contingency Ranking, and Optimal Placement of Distributed Generators (DGs) in power grids . Salah develops modern stability indices and collapse prediction methods that support the secure planning and operation of both transmission and distribution systems . His work blends theoretical modeling with real-world applications to improve grid reliability, especially in weak bus identification and dynamic loadability estimation . Salah has also explored series capacitor technologies, smart distribution systems, and intelligent protection schemes using fast-switch devices and relays . His innovative methodologies are helping reshape how engineers evaluate and strengthen power networks in volatile environments. His interdisciplinary approach involves simulation, grid modeling, and data-driven analysis using tools like MATLAB and ETAP .

🏆Awards and Honors 

Salah Mokred’s academic journey has been recognized with multiple prestigious honors . He received the CSC Scholarship twice: once for his Master’s studies (2017) and again for his Ph.D. (2020) in China . From 2021 to 2023, he was awarded Honor Certificates and the Academic Excellence Award by the Embassy of Yemen in recognition of his scholarly performance . Salah was honored with the Excellence Shield from the Yemenis Students Union for his role in academic programs and youth engagement initiatives . He also received a Certificate of Achievement from Garmah Plastic Company in 2017 for his engineering consulting contributions . Additionally, Salah participated in the “Youth in Nanjing” cultural exchange and was recognized for his contributions to international student engagement and creativity through events like “Star-Moon Dream Night” . These accolades highlight both his technical acumen and active involvement in cross-cultural academic life.

Publication of Top Notes

1.Title: Modern voltage stability index for prediction of voltage collapse and estimation of maximum loadability for weak buses and critical lines identification

Authors: S. Mokred, Y. Wang, T. Chen
Journal: International Journal of Electrical Power & Energy Systems
Year: 2023
Citations: 58

2.Title: A novel collapse prediction index for voltage stability analysis and contingency ranking in power systems

Authors: S. Mokred, Y. Wang, T. Chen
Journal: Protection and Control of Modern Power Systems
Year: 2023
Citations: 44

3.Title: Voltage stability assessment and contingency ranking in power systems based on modern stability assessment index

Authors: S. Mokred, Y. Wang
Journal: Results in Engineering
Year: 2024
Citations: 14

4.Title: Comparison of the effect of series and shunt capacitor application in 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, G. Kamara, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 10

5.Title: Protection performance during application of an intelligent and fast switch series capacitor to 25kV radial power distribution network

Authors: S. Mokred, Q. Lijun, T. Khan
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 8

6.Title: Transient and protection performance of a fixed series compensated 500 kV transmission line during various types of faulty conditions

Authors: S. Mokred, Q. Lijun, T. Khan
Journal: Journal of Electrical Engineering & Technology
Year: 2021
Citations: 7

7.Title: Voltage stability estimation for complex power system based on modal analytical techniques

Authors: M.M.A. Seedahmed, S.A.S. Mokred, G. Kamara
Conference: IEEE SPIN Conference
Year: 2019
Citations: 7

8.Title: Smart design of distribution series capacitor bank application for improved voltage quality and motor start

Authors: S. Mokred, Q. Lijun, G. Kamara
Conference: IEEE/IAS I&CPS Asia
Year: 2020
Citations: 6

9.Title: Protection and Impact of Series Compensation Technology in High Voltage Transmission Line

Authors: S.A.S. Mokred, Q. Lijun, M. Ali
Journal: IJIEEE
Year: 2019
Citations: 3

10.Title: A Novel Approach for Voltage Stability Assessment and Optimal Siting and Sizing of DGs in Radial Power Distribution Networks

Authors: S. Mokred, Y. Wang, M. Alruwaili, M.A. Ibrahim
Journal: Processes
Year: 2025
Citations: Not yet available

Conclusion

Dr. Salah Mokred’s consistent academic excellence, strong citation record, impactful contributions to voltage stability and grid protection, and participation in IEEE conferences and journal leadership make him a standout candidate for the Best Researcher Award. His research not only advances theory but provides applicable solutions to power system challenges in both developing and developed countries.

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher Award

Published on by Research Scientist

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher

Researcher , Huazhong University of Science and Technology , China

Jiawei Yu 👨‍🔬, born in June 1996 🎂, is a dedicated researcher at the Electric Power Research Institute ⚡ in Guangzhou, China 🇨🇳. With a strong academic background in accounting and electrical engineering 📚🔌, he specializes in real-time simulation and stability analysis of power systems 💡. Passionate about scientific exploration 🔬, Jiawei contributes to safer and more efficient renewable energy integration 🌱🔋. His rigorous work ethic and innovative mindset 🧠 make him a valuable figure in the field of new energy and grid safety 🔧. Jiawei is recognized for advancing power system technologies 🏆.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his master’s degree 🎓 in Accounting and Electrical Engineering from Huazhong University of Science and Technology 🏫 (2018–2021). His research focused on the stability analysis of power systems and new energy control ⚙️🔋. Since July 2021, he has been working as a researcher at the Electric Power Research Institute 🔬, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations ⚡🌐. Based in Guangzhou 📍, he brings academic excellence and technical expertise to China’s evolving energy landscape 🇨🇳.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration ⚡🌿. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) 🖥️, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects 🚧⚡, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research 🔍, working at the intersection of innovation, policy, and practical grid operations 🧠💼. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future 🌐🔧.

Research Focus :

Jiawei Yu’s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation ⚡🔋. He is deeply involved in testing how new energy sources interact with large grids 🌍 and analyzing their safety and operational impact 🚨. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS 🌱💻. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems 🧠🔧, making him a vital contributor to the modernization of China’s power infrastructure 🇨🇳.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research 🥇🔋. In 2022, he received the Outstanding Technical Service Award 🏅 from the China Southern Power Grid Research Institute, honoring his excellence in technical implementation and reliability assurance. In 2023, he was awarded First Prize for Scientific and Technological Progress 🥇, recognizing his contributions to simulation and safety analysis in renewable energy systems 🔬⚡. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies 🌱🏆.

Publication Top Notes:

1. Hydrodynamic Interactions of Two Ships Advancing Parallelly in the Head and Oblique Seas
2. A Partitioned Functional-Decomposition Scheme for Modelling Wave‑Ship‑Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surge‑Released Ships Advancing in Head Regular Waves Based on the Hybrid Method
4. A Frequency Domain Hybrid Green Function Method for Seakeeping and Added Resistance Performance of Ships Advancing in Waves
  • Authors: (Preview did not state authors)
  • Year: 2024
  • Citations: 2 (as per your list)
  • Points:
    • Develops hybrid Green function method in frequency domain
    • Focuses on seakeeping and added resistance analysis
    • Enhances accuracy of motion predictions in wave scenarios
5. Vertical Line Time Domain Green Function and Its Applications in Numerical Simulation of Ship Seakeeping Performance
  • Authors: (Not listed in preview)
  • Year: 2024
  • Citations: 0 (as per your list)
  • Points:
    • Introduces vertical line time-domain Green function
    • Potentially improves time-domain response prediction accuracy
    • Applies it in numerical simulations of seakeeping behavior

Conclusion :

Jiawei Yu exemplifies the qualities of a leading early-career researcher through his innovative contributions to power system simulation and marine hydrodynamics. His work addresses real-world energy challenges using advanced simulation tools and has direct applications in renewable energy grid safety, ship engineering, and sustainable infrastructure. With a growing citation record, multiple impactful publications, and institutional recognition, he stands out as a well-rounded, high-impact researcher deserving of the Best Researcher Award.

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Published on by Research Scientist

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Ms. Zahra Pezeshki, National Research University “Moscow Power Engineering Institute”, Russia

Zahra Pezeshki is a PhD student at the National Research University “Moscow Power Engineering Institute.” With a strong passion for academic research, she has overcome initial challenges in her studies, continuously striving for excellence. Her dedication to scientific inquiry drives her to engage in extensive research projects, always aiming to think globally. In addition to her academic pursuits, she has invested time in learning international languages. Deeply concerned about global issues, she is particularly passionate about climate change. Zahra values diversity and respects all races and ethnicities, embracing a broad, inclusive perspective in both her research and personal outlook.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award:

Zahra Pezeshki demonstrates a strong commitment to academic research, overcoming early challenges to establish herself as a dedicated scholar. Her research focuses on critical topics such as Building Information Modeling (BIM), Building Energy Modeling (BEM), artificial intelligence applications in thermal energy optimization, and climate change concerns. With multiple high-impact publications in reputable journals and a global research perspective, she has significantly contributed to the field of engineering and sustainable development. Given her dedication, productivity, and impact in the research community, she is a strong candidate for the Best Researcher Award.

🎓 Education:

  • PhD Student – National Research University “Moscow Power Engineering Institute” (MPEI)
  • Bachelor’s Degree – [Specify University & Field if available]

💼 Work Experience:

  • Researcher & Academic Contributor 📚🔬
    • Passionate about academic research and problem-solving
    • Engaged in multiple research projects, especially in the field of climate change
  • Multilingual Professional 🌍🗣
    • Proficient in international languages, facilitating global research collaborations

🏆 Achievements & Contributions:

  • Successfully contributed to research projects related to climate change 🌱🌎
  • Overcame academic challenges to pursue a career in research 📈📖
  • Developed a strong international network in academia 🤝

🎖 Awards & Honors:

  • Recognition for dedication to research and innovation 🏅
  • Contributor to global discussions on climate change and sustainability 🌿🏆

Publication Top Notes:

Applications of BIM: a brief review and future outline

CITED:135

Application of BEM and using BIM database for BEM: A review

CITED:128

Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

CITED:102

Thermal transport in: Building materials

CITED:51

Rechargeable Batteries: History, Progress, and Applications

CITED:37