Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

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Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

PhD student, Higher School of Science and Technology Hammem Sousse, Tunisia

Yasmine Gaaloul is a passionate and innovative Ph.D. student in Physical Engineering, specializing in Energy, based in Sahloul, Sousse, Tunisia. With a sharp focus on advanced energy systems and renewable energy technologies, she brings a solid academic foundation combined with hands-on experience in photovoltaic system diagnostics and energy efficiency. Her academic journey reflects a strong dedication to contributing meaningful solutions in the field of sustainable energy using cutting-edge artificial intelligence techniques. 🌱⚡

Publication Profile

Scopus

Summary of Suitability for Best Researcher Award – Ms. Yasmine Gaaloul

Yasmine Gaaloul is a dedicated and innovative PhD student with a strong specialization in renewable energy systems, particularly in fault diagnosis of photovoltaic (PV) systems in DC microgrids using artificial intelligence (AI). Her research is highly relevant to current global challenges in energy sustainability and smart grid technology.

🎓 Education Background

Yasmine pursued her Bachelor’s Degree in Physics (2017–2020) and then earned a Research Master’s Degree in Physics with an Energy Track from Hammem Sousse Higher School of Science and Technology (2020–2022). She is currently enrolled in a Ph.D. program in Physical Engineering at the same institution, where her research focuses on fault diagnosis in photovoltaic (PV) systems using AI tools. Her academic path shows consistent advancement in renewable energy domains. 🎓🔬📚

💼 Professional Experience

Yasmine has built practical experience through internships and projects focused on energy audits, policy compliance, project management, and the design and implementation of energy systems. Notably, she undertook an application internship in Nuclear Medicine at the Tunisian Hospital-University Center in Sousse. She also possesses strong technical skills in simulation and programming tools such as MATLAB, PVsyst, and BAO EVOLUTION, which enhance her applied research capabilities. 🏥💻🔧

🏆 Awards and Honors

While no formal awards are listed, her work speaks volumes through peer-reviewed publications and technical skills in diagnosing photovoltaic faults using AI — a field of growing significance. Her continued progress and engagement in advanced renewable technologies position her as a competitive researcher with promising prospects. 🥇📈

🔬 Research Focus

Yasmine’s core research revolves around the fault detection and diagnosis of PV systems in DC microgrids using artificial intelligence. She also works on simulation and modeling of energy systems, including photovoltaic modules and converters. Her use of machine learning algorithms like Random Forest and KNN for predictive maintenance of PV systems reflects a modern and sustainable approach to energy reliability and performance optimization. Her work aligns with critical global goals for clean and efficient energy. ⚙️🔋🌞

✅ Conclusion 

Given her specialized research in photovoltaic systems and renewable energy using artificial intelligence, Yasmine Gaaloul is a strong candidate for the Research for Best Researcher Award. Her interdisciplinary approach, combining physical engineering with AI, positions her at the forefront of sustainable energy innovation. Her academic trajectory, technical prowess, and publication record demonstrate exceptional promise and dedication. 🏅🌍💡

📚 Top Publications with Notes

Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models (2023)

This study explores hybrid AI techniques to enhance PV system monitoring. Cited by: X articles

Comparative Performance Analysis of Metaheuristic Optimization Algorithms for Parameter Identification of Photovoltaic Cell/Module (2023)

This comparative work evaluates algorithms for optimal PV module performance. Cited by: X articles

Modeling and Simulation of a Two-Phase Interleaved Boost Converter for Photovoltaic Applications (2022)

Focuses on the design of efficient converters for PV systems. Cited by: X articles

Dr. Julian Riano | Sustainability | Best Researcher Award

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Dr. Julian Riano | Sustainability | Best Researcher Award

Lecturer, University of Brighton, United Kingdom

Julian D. Riano is a dynamic academic and facilitator with a global perspective in business education 🌍. He holds a Doctorate in Strategy, Organisations, and Society from Newcastle University (UK), and brings a wealth of international experience from the US, Colombia, and the UK. Fluent in both English and Spanish , Dr. Riano is passionate about innovative, entrepreneurship-focused teaching that prepares students to tackle real-world business challenges. His approach emphasizes experiential and challenge-based learning, fostering practical skills and strategic thinking among learners 📈.

Publication Profile

ORCID

🎓 Education Background

Dr. Riano’s academic journey is both diverse and impressive. He recently pursued a Postgraduate Certificate in Academic Practice at the University of Brighton (2023–2024) 🎓. He earned his Doctorate from Newcastle University (2017–2021), preceded by an MBA in IT Management from Southern New Hampshire University, USA (2012–2014) 💼. His foundational studies include a Bachelor’s in Business Administration and Finance from Western Connecticut State University (2004–2008) and an Associate Degree in Computer Information Systems Technology from Naugatuck Valley Community College (2001–2004) 💻. He also obtained the CELTA certificate from the University of Cambridge and is a Fellow of the Higher Education Academy (FHEA) 🎖️.

💼 Professional Experience

Dr. Riano is currently a Lecturer in Entrepreneurship and Strategy at the University of Brighton’s School of Business and Law (since March 2022) 📚. He also serves as a Visiting Business Lecturer at Newcastle University Business School – London (since 2019) and continues to contribute as an Academic Researcher there (since 2017). Since 2017, he has also held a Visiting Lecturer role at the University of Brighton International College. His consistent academic contributions have enriched numerous business modules including strategy, organizational behaviour, entrepreneurship, and IT management across undergraduate and postgraduate levels 🏫.

🏅 Awards and Honors

Julian D. Riano holds the Fellowship of the Higher Education Academy (FHEA) awarded by Advance HE in 2019 🎓. He is also CELTA certified, showcasing his commitment to effective pedagogy and inclusive, high-quality teaching in English as a second language 🌐. These recognitions reinforce his teaching excellence and dedication to student-centred learning.

🔬 Research Focus

Dr. Riano’s research primarily explores social capital, entrepreneurship, sustainability, and strategic management, especially within SMEs in the UK and emerging economies 🌱. His work sheds light on how value is created beyond traditional economic measures—focusing instead on social impact and organizational innovation. His interest in challenge-based learning also drives his pedagogical research, aligning with entrepreneurship and business education practices 🔍.

📝 Conclusion

In summary, Julian D. Riano is a globally engaged academic leader blending pedagogical innovation, strategic research, and multicultural teaching experiences 🌎. His interdisciplinary expertise and passion for impactful education make him a strong advocate for student empowerment and entrepreneurial thinking across the globe 🚀.

📚 Top Publications

Challenge-based learning: A ‘entrepreneurship-oriented’ teaching experience (2020)
Journal: Management in Education | 📑 Cited by: 3 articles

Challenge-Based Learning: A ‘Entrepreneurship-Oriented’ Teaching Experience (2020)
Conference: British Academy of Management – BAM 2020 | 📑 Cited by: 2 articles

Social Capital, The Lesser-Known Victim of Crime in Bogota – Colombia (2020)
Conference: British Academy of Management – BAM 2020 | 📑 Cited by: 1 article

Value Creation Beyond Economic Frontiers Via Social Capital Benefits: Evidence of SMEs in The UK Construction Industry (2020)
Conference: British Academy of Management – BAM 2020 | 📑 Cited by: 2 articles

Social capital benefits and value creation toward sustainability: evidence of SMEs in the UK construction industry (2020)
Conference: European Group of Organizational Studies – EGOS 2020 | 📑 Cited by: 2 articles

Ms. Chunmei Zhou | catalysis | Best Researcher Award

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Ms. Chunmei Zhou | catalysis | Best Researcher Award

professor, School of Chemistry and Molecular Engineering, China

Dr. Chunmei Zhou is a distinguished researcher in the field of Heterogeneous Catalysis, currently affiliated with Nanjing Tech University, China . She has gained international recognition for her innovative work on nanostructured materials and catalytic processes related to biomass upgrading and sustainable chemistry. With over 3,100 citations and an h-index of 30, Dr. Zhou has made significant contributions to advancing cleaner and more efficient catalytic technologies.

Publication Profile

Scopus

🎓 Education Background:

Dr. Zhou earned her Ph.D. in Industrial Catalysis from South China University of Technology in 2010. Her academic foundation laid the groundwork for her impactful research on catalytic materials and green chemistry applications.

💼 Professional Experience:

Following her PhD, she completed three years of postdoctoral research supported by competitive grants at Nanyang Technological University, Singapore 🇸🇬. Thereafter, she returned to China and joined Nanjing Tech University, where she currently serves as a researcher in the School of Chemical Engineering.

🏅 Awards and Honors:

While detailed information on awards was not available in the source, Dr. Zhou’s high citation record and international collaborations reflect the esteem with which her work is held in the academic community. She is also an active contributor to high-impact journals, further showcasing her scientific influence.

🔬 Research Focus:

Dr. Zhou’s research is primarily focused on the synthesis of nanostructured materials for catalytic applications, especially in biomass conversion to high-value chemicals. Her work aims to address challenges in green chemistry, sustainable resource utilization, and energy-efficient catalytic reactions. Her recent efforts delve into aqueous-phase reforming, selective oxidation, and hydrogenative rearrangements using novel nanocatalysts.

🔚 Conclusion:

Dr. Chunmei Zhou stands out as a prolific and visionary researcher in heterogeneous catalysis, with a commitment to sustainable chemical transformations. Her contributions continue to shape the future of clean energy and green chemistry technologies through collaborative, interdisciplinary research. 🌱⚗️

📚 Top Publications 

Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application
Journal: Open Access Review, 2024
Citations: 15

Biomass upgrading of furfural to cyclopentanone via selective aqueous-phase hydrogenative rearrangement over Pd/g-C3N4 catalysts
Journal: Chemical Engineering Journal, 2025
Citations: 0

Enhanced Glycerol Oxidation Toward Dihydroxyacetone Over Gold/Palladium Binary Nanocatalysts by Structure Control
Journal: Chemistry – A European Journal, 2025
Citations: 0

Metal–ligand interfaces for well-defined gold nanoclusters
Journal: Review Article, 2024
Citations: 4

Ball-milling-induced phase transition of ZrO₂ promotes selective oxidation of glycerol to dihydroxyacetone over supported PtBi bimetal catalyst
Journal: Chemical Engineering Journal, 2023
Citations: 8

Metal-carbonate interface promoted activity of Ag/MgCO₃ catalyst for aqueous-phase formaldehyde reforming into hydrogen
Journal: Fuel, 2023
Citations: 10

Dr. Biao Zhang | Technology | Best Researcher Award

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Dr. Biao Zhang | Technology | Best Researcher Award

Xi’an Research Institute of High-Tech, China

Zhang Biao is a promising doctoral student specializing in Nuclear Science and Technology at the PLA Rocket Force Engineering University, Xi’an, China. With a focus on advancing safety and efficiency in nuclear environments, his research emphasizes radiation field reconstruction and dose-optimized path planning. He has authored multiple peer-reviewed articles in top-tier journals like Annals of Nuclear Energy and Nuclear Technology. Zhang’s contributions to computational modeling and intelligent algorithms mark him as an emerging innovator in his field 🧠⚛️.

Publication Profile

ORCID

🎓 Education Background:

Zhang Biao pursued his higher education at the esteemed PLA Rocket Force Engineering University in Xi’an, Shaanxi, China 🎓. Currently engaged in his doctoral studies, his academic journey is rooted in nuclear science with an inclination toward computational applications in radiation detection and safety mechanisms.

💼 Professional Experience:

Although still in academia, Zhang has demonstrated notable professional-level impact through his published works. He is affiliated with the Xi’an Research Institute of High-Tech and is a proud member of the Chinese Nuclear Society 🧪. His hands-on experience with mathematical modeling and radiation path optimization contributes to future applications in nuclear facility safety.

🏆 Awards and Honors:

While formal accolades are pending, Zhang’s scholarly output—particularly his recent algorithmic improvements in radiation path planning—have earned recognition in high-impact journals and among nuclear technology scholars. His nomination for the Best Researcher Award by the Computer Scientists Awards underscores his rising prominence in scientific research 🥇📚.

🔬 Research Focus:

Zhang Biao’s work revolves around enhancing the safety of radiation environments through efficient detection and computational path planning. His innovations include a modified A* algorithm for minimizing radiation dose exposure and improved reconstruction techniques for gamma-ray source fields using interpolation and mathematical modeling 🔍🛰️.

🔚 Conclusion:

Zhang Biao represents the new generation of nuclear technologists who integrate artificial intelligence with radiation safety science. With multiple first-author publications, innovative algorithms, and a clear vision for nuclear safety, he is well on track to make substantial contributions to science and society 🌏💡.

📚 Top Publications:

A modified A* algorithm for path planning in the radioactive environment of nuclear facilities – Annals of Nuclear Energy, 2025.
Cited by: Referenced in dose optimization and nuclear safety path planning studies.

Path planning of PRM based on artificial potential field in radiation environments – Annals of Nuclear Energy, 2024.
Cited by: Utilized in advanced robotics navigation within hazardous nuclear zones.

Minimum dose walking path planning in a nuclear radiation environment based on a modified A* algorithm –Annals of Nuclear Energy, 2024.
Cited by: Recognized for efficient personnel routing in nuclear facilities.

A comparative study of different radial basis function interpolation algorithms in the reconstruction and path planning of γ radiation fields – Nuclear Engineering and Technology, 2024.
Cited by: Referenced in computational gamma field modeling research.

Reconstruction of γ Dose Rate Field and Algorithm Validation Based on Inverse Distance Weight Interpolation – Nuclear Technology, 2024.
Cited by: Applied in gamma dose field reconstruction validations.

Mr. Md Tanvir rahman Tarafder | Information Technology | Best Researcher Award

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Mr. Md Tanvir rahman Tarafder | Information Technology  | Best Researcher Award

Data analysis, Westcliff university, United States

Tanvir Rahman Tarafder is a passionate and results-driven cloud computing professional with a strong foundation in software development and IT solutions. With expertise in AWS services, including EC2, S3, Lambda, and RDS, he thrives in building scalable and efficient cloud-based architectures. His journey from a Computer Science graduate to a cloud enthusiast reflects his commitment to innovation and problem-solving. Beyond his technical expertise, Tanvir is a team player and excellent communicator, always eager to explore new technological advancements and contribute to impactful projects.

Publication Profile

Google Scholar

Academic Background 🎓

Tanvir is currently pursuing a Master’s in Information Technology (Cloud Computing) at Westcliff University, USA, maintaining an impressive CGPA of 3.96 (expected 2025). He earned his Bachelor of Science in Computer Science & Engineering from American International University-Bangladesh (AIUB) with a CGPA of 3.23 (2018-2021). His strong academic performance is complemented by a solid foundation in programming, databases, and cloud infrastructure. His early education includes a Higher Secondary Certificate from Dhaka City College and a Secondary School Certificate from Bogura Cantonment Public School & College, where he excelled with top grades.

Professional Experience 💼

Tanvir has gained diverse industry experience in various technical and consultancy roles. As an IT Officer at SM Fintech Technologies Ltd., he managed website maintenance, configured email servers, reviewed vendor contracts, and coordinated IT purchases to optimize business operations. His passion for academia led him to work as a Teaching Assistant at AIUB, where he supported students in Computer Graphics courses. Additionally, his role as an International Student Consultant at Revolution Student Consultancy allowed him to guide over 50 students in securing admissions to American universities. His expertise spans cloud computing, software development, and IT consultancy, making him a versatile professional.

Awards and Honors 🏆

Tanvir has demonstrated his technical excellence through multiple industry-recognized certifications. He holds the AWS Certified Solutions Architect Associate (Valid till 2030) and AWS Certified Cloud Practitioner (Valid till 2029), showcasing his deep expertise in cloud computing. Additionally, he has earned certifications in Python programming and front-end web development from prestigious platforms. These achievements highlight his continuous learning mindset and dedication to staying ahead in the tech industry.

Research Focus 🔬

Tanvir’s research focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) in cloud computing, predictive analytics, and smart systems. His work includes forecasting Electric Vehicle adoption, AI-driven smart grid optimization, and transformative AI applications in healthcare. His passion for exploring AI’s role in solving real-world problems reflects his commitment to advancing technology for societal benefits. He has contributed to multiple peer-reviewed publications, addressing challenges in water quality analysis, synthetic e-commerce data insights, and medical imaging advancements.

Conclusion 🌟

With a strong technical foundation, hands-on cloud computing experience, and a keen research interest in AI-driven solutions, Tanvir Rahman Tarafder stands out as a forward-thinking innovator in the field of cloud technology and AI. His ability to bridge academic knowledge with practical applications makes him a valuable asset in any technology-driven organization. His continuous pursuit of excellence and eagerness to contribute to groundbreaking research and development mark him as a promising professional in the ever-evolving tech landscape.

Top Publications 📚

Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models
Published in: Journal of Computer Science and Technology Studies (2024)
Cited by: 12 articles

Discoverable Hidden Patterns in Water Quality through AI, LLMs, and Transparent Remote SensingPublished in: 2024 17th International Conference on Security of Information and Networks (2024)
Cited by: 9 articles

Integrating Transformative AI for Next-Level Predictive Analytics in Healthcare
Published in: IEEE Conference on Engineering Informatics (ICEI) (2024)
Cited by: 9 articles

Optimizing Load Forecasting in Smart Grids with AI-Driven Solutions
Published in: IEEE International Conference on Data and Software Engineering (ICoDSE) (2024)
Cited by: 7 articles

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Published in: Diagnostics Journal (2025)
Cited by: (Pending)

Leveraging Machine Learning for Insights and Predictions in Synthetic E-commerce Data in the USA: A Comprehensive Analysis
Published in: (Journal details pending)
Cited by: (Pending)

Jin Wang | Renewable Energy Technologies Award | Best Researcher Award

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Dr. Jin Wang | Renewable Energy Technologies Award | Best Researcher Award

Doctoral candidate, Taiyuan University of Technology, China

Jin Wang, a doctoral candidate at Taiyuan University of Technology, is a promising researcher in the field of electrical engineering. Born on June 1, 1996, Jin is a member of the Han nationality and is deeply focused on coastal renewable energy generation. He is working towards his Ph.D. in Electrical Engineering and has actively contributed to advancing knowledge in energy systems. With a strong academic foundation and hands-on research experience, Jin is making significant strides in his field. 🧑‍🎓⚡🌍

Publication Profile

ORCID

Education:

Jin Wang completed his undergraduate degree in Electrical Engineering at Taiyuan University of Technology in 2020. Following this, he embarked on his Ph.D. journey at the same university, with an expected completion date in 2025. His academic career is distinguished by a dedication to innovation and the pursuit of sustainable energy solutions. 🎓🔌

Experience:

Jin Wang has been involved in a variety of research projects at Taiyuan University of Technology, with a focus on energy systems for polar regions and coastal renewable energy generation. He has also gained practical experience by contributing to national and provincial-level projects, particularly on clean, low-carbon energy systems. 💼🌱

Awards and Honors:

Jin has received several certifications that highlight his commitment to excellence. These include his achievements in English proficiency (CET-6, CET-4), as well as certifications in hydrogen energy technology and industrial technology enhancement. 🏅🎖️

Research Focus:

Jin’s research primarily revolves around coastal renewable energy generation, with specific attention to energy systems in extreme environments, such as polar regions. His work includes projects on energy systems for coastal research stations, hybrid energy systems, and proton exchange membrane fuel cells (PEMFC) in standalone systems. 🔋🌊

Conclusion:

Jin Wang is a dedicated researcher with a clear focus on sustainable energy solutions for challenging environments. His academic background, along with his involvement in cutting-edge research projects, positions him to make significant contributions to the field of renewable energy. 🌍💡

Publications:

Application and effect analysis of renewable energy in a small standalone automatic observation system deployed in the polar regions – AIP Advances, 2022, Author ranking: 1

Improving Proton Exchange Membrane Fuel Cell Operational Reliability Through Cabin-Based Fuzzy Control in Coastal Standalone Observation Systems in Antarctica – Journal of Marine Science and Engineering, 2025, Author ranking: 1

A Multi-Objective Scheduling Strategy for a Hybrid Energy System for Antarctic Coastal Research Stations – Journal of Marine Science and Engineering, 2024, Author ranking: 3

Research on output voltage control of PEMFC based on fuzzy active disturbance rejection – Modern Electronic Technology, 2024, Author ranking: 3

Ahmed H.Ibrahim | Green technology | Best Researcher Award

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Dr. Ahmed H.Ibrahim | Green technology | Best Researcher Award

Lecturer, Azhar university, Egypt

Ahmed Hamdy Ibrahim Kraiz is an accomplished professional in the field of Metallurgical Engineering, specializing in Mineral Processing and Extractive Metallurgy. Born on February 10, 1987, in Mansoura, Egypt, he holds a Ph.D. from Shandong University of Science and Technology, China (2023), where his research focused on “Extraction and Reaction Mechanism of Valuable Metals from Egyptian Boiler Ash.” With a strong foundation in metallurgy and a passion for advancing his knowledge, Ahmed has held several key roles, including Metallurgical Consultant at Capital Leading Company (CLC) and Assistant Lecturer at Al-Azhar University. His work spans various industrial sectors, including oil and gas, mining, and nuclear materials, and he has a rich history of training and certifications in areas like welding, risk assessment, and industrial safety. 💼🎓

Publication Profile

ORCID

Education:

Ahmed’s academic journey is marked by impressive achievements, beginning with his Bachelor’s degree in Metallurgical Engineering from Al-Azhar University (2009), where he graduated with high distinction. He further advanced his studies with a Master’s degree in Metallurgical Engineering (2016), specializing in the pre-treatment of low-grade uranium-bearing granites. His most recent achievement is a Ph.D. in Mineral Processing and Extractive Metallurgy from Shandong University, China, where his research contributed significantly to the understanding of metal extraction from industrial waste. 🎓📚

Experience:

With over a decade of professional experience, Ahmed has excelled in diverse roles in the metallurgical and petroleum engineering sectors. Since 2019, he has served as a Metallurgical Consultant at Capital Leading Company (CLC), advising on oil and gas projects in the West Nile Delta. He also worked as an Assistant Lecturer at Al-Azhar University, where he contributed to the development of future engineers in the Metallurgical and Petroleum Engineering Department. His prior roles include Workshop Coordinator at Petropower Egypt and Metallurgical Engineer at the Nuclear Material Authority, where he focused on uranium mining in Egypt’s Eastern Desert. 🛠️📊

Awards and Honors:

Ahmed’s dedication and expertise have been recognized throughout his career. He received a series of certifications and training accolades, including his SNT-TC-1A Level II certification and welding course from Mansoura University. He also earned recognition for his research on metallurgical engineering, with his work contributing to advancements in metal extraction technologies. 🏆🔬

Research Focus:

Ahmed’s primary research interests revolve around Mineral Processing and Extractive Metallurgy, with a specific focus on the extraction and reaction mechanisms of valuable metals from industrial waste, such as Egyptian boiler ash. His academic research also includes studying the pre-treatment of low-grade uranium-bearing granites for efficient leaching processes. These contributions aim to improve metal recovery techniques, particularly in challenging materials. 🧪🔍

Conclusion:

Ahmed Hamdy Ibrahim Kraiz is a highly skilled and dedicated professional in Metallurgical Engineering, bringing valuable expertise to both academic and industrial settings. With a passion for innovation and a strong foundation in metallurgy, he is well-positioned to continue contributing to the field of extractive metallurgy and mineral processing. His proven leadership, commitment to learning, and ability to collaborate across cultures make him an asset to any organization. 🌍🤝

Publications:

Juxian Zhao | Computer Science | Best Researcher Award

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Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention

Joseph Arhavbarien | Green Operations | Best Researcher Award

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Dr. Joseph Arhavbarien | Green Operations | Best Researcher Award

Director / Researcher, Rockedge Ventures (UK) Ltd, United Kingdom

🌱📊 Dr. Joseph Arhavbarien is an accomplished researcher with a Ph.D. in Business and Management from the University of Bedfordshire, UK. With over three decades of industrial experience, he focuses on green processes, sustainable operations, and supply chain management. Transitioning to academia, he combines his rich industrial background with his academic expertise to teach and conduct research, applying quantitative techniques to explore green value internalisation.

Profile

ORCID

📚 Education:

🎓 Dr. Arhavbarien holds a Ph.D. in Business and Management from the University of Bedfordshire (2023). He earned his MBA in International Business from the University of East London (2015) and a B.Sc. (Hons) in Microbiology from the University of Lagos, Nigeria (1989). Additionally, he has a Certificate in Agile Project Management from the University of Oxford (2023).

💼 Experience:

💼 Dr. Arhavbarien’s diverse professional journey includes roles in retail, manufacturing, logistics, and consultancy. Notably, he has worked with Tesco, Morrisons, Gosh Food Ltd, and FedEx, where he led teams, managed operations, and drove continuous improvement initiatives. His expertise spans statistical analysis, project management, and sustainable business practices.

🔬 Research Interests:

🔍📈 Dr. Arhavbarien’s research interests are centered on green value internalisation, sustainable operations, and supply chain resilience. He employs quantitative methods and tools like Qualtrics and SPSS/AMOS to analyze data, aiming to develop green criteria for stakeholder engagement and enhance eco-efficiency in industrial operations.

🏆 Awards:

🏆 Dr. Arhavbarien has been recognized for his academic and professional contributions. A notable achievement includes guiding an M.Sc. student to win the 2023 Logistics Research Network CILT (UK)’s MSc Dissertation of the Year award, reflecting his ability to inspire and mentor students.

Publications

📚 “An investigation of antecedents and consequences of green value internalisation among sampled UK enterprises” – Journal of Environmental Management, 2024

📄 “An examination of antecedents of green value internalisation for firm-level supply chain collaboration” – British Academy of Management (BAM) 2022 Conference, Alliance Manchester Business School, UK.

📄 “Green supply chain management: an investigation of firm-level antecedents of green value internalisation” – 29th European Operations Management Association (EurOMA) Conference, Berlin, Germany, 2022.📄 “An investigation of firm-level antecedents of green value internalisation for Upstream-Downstream supply chain interactions” – 32nd Production and Operations Management Society (POMS) Conference (online), 2022.

Emanuele Calabrò | Environmental Science | Best Researcher Award

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Dr. Emanuele Calabrò | Environmental Science | Best Researcher Award

Docente, MIUR (Ministero dell’Istruzione e del merito), Italy

Prof. Emanuele Calabrò, a distinguished physicist, currently serves as a Full Professor of Physics at the Technological Technical Institute of Messina “Verona-Trento” in Italy. With a career spanning over several decades, Prof. Calabrò has made significant contributions to various fields, including applied physics, experimental physics of matter, and biophysics. His expertise extends to areas such as electromagnetic fields pollution, biotechnology, solar energy, astronomy, and topography.

 

Profile

Google Scholar

Education 🎓

Prof. Emanuele Calabrò obtained his Bachelor’s degrees in Physics and Engineering from the University of Messina in Italy, with exceptional final evaluations. He further pursued post-graduate training courses and a Master’s degree in the General Theory of Physical Sciences from the University “G. Marconi” in Rome, Italy.

Experience 💼

Throughout his career, Prof. Calabrò has held various academic positions, including teaching assistantships and professorships at esteemed institutions such as the University of Messina and the Technical Technological Institute in Siena, Italy. His teaching and research endeavors have spanned topics ranging from electrotechnics to biomedical physics and electronic measurements.

Research Interests 🔬

Prof. Calabrò’s research interests encompass a diverse range of areas, including man-made electromagnetic fields pollution, biophysics, the use of resonant frequencies for cancer treatment, solar energy optimization, astronomy, and topography. His pioneering work explores the effects of electromagnetic fields on organic systems, the alignment of proteins under electromagnetic fields, and the application of photogrammetry in evaluating structural decay.

Awards 🏆

Prof. Emanuele Calabrò has been recognized for his exemplary contributions to academia and research. He was the winner of the “Award for Excellence in Research” in the Academic Brand Awards-18 and has received certificates of recognition for his services as a reviewer for Bentham Science Publishers. His dedication to advancing scientific knowledge and fostering innovation is commendable.

Publications 📚

Calabrò, E., & Mammano, A. (1992). Forbidden high excitation lines and TiO bands in the symbiotic system QW Sge. Astrophysics and Space Science, 197, 251-256.

Calabrò, E. (2009). Determining optimum tilt angles of photovoltaic panels at typical north tropical latitudes. Journal of Renewable and Sustainable Energy, 1, 033104.

Calabrò, E., & Magazù, S. (2010). Monitoring Electromagnetic Field Emitted by High Frequencies Home Utilities. Journal of Electromagnetic Analysis & Applications, 2(9), 571-579.

Calabrò, E., & Magazù, S. (2018). Resonant interaction between electromagnetic fields and proteins: A possible starting point for the treatment of cancer. Electromagnetic Biology and Medicine, 37(3), 155-168.