Esther Babatunde l Data Analysis Software | Research Excellence Award

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Dr. Esther Babatunde l Data Analysis Software | Research Excellence Award

 University of Ilorin | Nigeria

Dr. Esther Babatunde is a Senior Lecturer and Postdoctoral Research Fellow specializing in chemical engineering with expertise in renewable energy, biomass and solid waste management, clean fuel reaction engineering, and process optimization. She earned her PhD and M.Eng. from the Federal University of Technology, Minna, and B.Tech. from Ladoke Akintola University of Technology. With extensive teaching and research experience, she has contributed to sustainable energy solutions and process innovations. Dr. Babatunde has received multiple awards, including the Global Excellence Stature Award and Q1 Publications Award. Her work bridges academia and industry, advancing clean energy technologies and chemical engineering research.

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Featured Publications

Xiu-Teng Wang | Environmental Data Analysis | Best Researcher Award

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Dr. Xiu-Teng Wang | Environmental Data Analysis | Best Researcher Award

China Institute of Standardization | China

Dr. Xiu-Teng Wang is a leading researcher in environmental protection and standardization, known for his extensive work in solid and hazardous waste management. He earned his B.Sc. from the School of Chemistry and Materials Science at the University of Science and Technology of China in 2004 and completed his Ph.D. in Science at the School of Chemistry and Molecular Engineering at Peking University in 2009. Since then, he has worked at the China National Institute of Standardization, contributing to national efforts in solid waste treatment, air pollution control, and environmental management. From 2015 to 2017, he served as Vice President of the Standardization Institute of the Inner Mongolia Autonomous Region as part of the 16th batch of national doctoral service teams. He currently serves as Chief Researcher of Environmental Protection and Secretary General of SAC/TC275 and the national hazardous waste standards working group while also acting as liaison to ISO/TC275. His research focuses on developing standards for waste treatment, disposal, and resource utilization, and he has led multiple national key R&D and technology projects. With 44 documents, 1,376 citations, 1,260 citing documents, and an h-index of 17, he has established a strong academic presence. His contributions have earned several national awards, underscoring his influence in environmental standardization.

Profile : Scopus 

Featured Publications

(2025). Environmental risk assessment of liquid aluminum sulfate water treatment agent prepared from waste sulfuric acid in the integrated circuit industry. Sustainability.

(2025). Crystal structure of 72,73,75,76-tetrafluoro-25,44-di-methyl-31,33,36,38-tetraoxo-31,32,33,36,37,38-hexahydro-3(2,7)-benzo[lmn][3,8]phenanthrolina-1,5(4,1)dipyridin-1-iuma-2,4(1,2),7(1,4)-tribenzenacyclooctaphane-11,51-diium hexafluoridophosphate, [C46H28F4N4O4][PF6]2, a dicationic cyclophane. Zeitschrift für Kristallographie – New Crystal Structures.

(2025). Highly fluorescent, water-soluble tetrapodal perylene diimides insulated by cationic pendants for live-cell imaging. Dyes and Pigments.

(2025). Crystal structure of di-μ-azido-κ1N bis[2-(1,10-phenanthrolin-2-yl)benzo[d]imidazol-1-ido-κ3N,N’,N”]-bis(methanol-κ1O)-di-manganese. Zeitschrift für Kristallographie – New Crystal Structures.

Chao Yin | Data Analysis | Research Excellence Award

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Dr. Chao Yin | Data Analysis | Research Excellence Award

Shandong Women’s University | China

Chao Yin is an Associate Professor of Marketing at the Faculty of Management, Shandong Women’s University, where she specializes in green development, low-carbon strategies, supermarket operations, and agricultural product logistics. She earned her Doctorate in Enterprise Management with a marketing focus from Beijing Jiaotong University, following a master’s degree from the Capital University of Economics and Business and a bachelor’s degree in marketing from Qingdao University. Before entering academia, she gained practical industry experience as a marketing manager at Qingdao AEON Dongtai Co., Ltd., which continues to inform her applied research approach. Her scholarly work appears in reputable journals, including Q1 and Q2 outlets, addressing themes such as logistics information systems, sustainable development performance, emissions trajectories, and corporate green innovation. She has also contributed to international symposiums with studies on resource integration and “Farming-Supermarket” supply-chain mechanisms. In the classroom, she teaches courses on marketing management and chain enterprise operations, integrating theory with practice to support student development. Recognized for her growing contributions to sustainability and operations research, her work aims to advance environmentally responsible management strategies and promote efficient, low-carbon business practices for future economic and societal benefit.

Profile : Scopus

Featured Publications

Yin, C., Zhang, M., Zhang, Y., & Wu, W. (2020). Business service network node optimization and resource integration based on the construction of logistics information systems. Information Systems and e-Business Management, 18, 723–746. (Q2)

Yin, C. Research on optimization of mixed distribution of chain supermarket based on resource integration. Management Review.

Yin, C. (2015). Research on the Key Issues of “Farming-Supermarket” Docking under the Background of “Internet Plus”. Proceedings of the 2nd International Symposium on Management, Innovation and Development (MID2015).

Yin, C., & Liu, P. (2025). Knowledge-driven green cognition: the impact of enterprise innovation in sustainable development performance. (Q2)

Yin, C., & Bo, Y. (2025). China’s emissions trajectory: Integrating resource management and energy transition strategies. (Q1)

Fangdi Ye | Offshore Wind Power | Research Excellence Award

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Mr. Fangdi Ye | Offshore Wind Power | Research Excellence Award

Zhejjiang Provincial Energy Group Company Ltd | China

Mr. Fundi is an accomplished energy-sector professional associated with Zhejiang Provincial Energy Group Company Ltd., where he contributes to the advancement of China’s offshore wind power initiatives. He holds an academic background in engineering and renewable energy management, building a solid foundation for his work in large-scale clean-energy development. Throughout his career, he has gained extensive experience in project planning, offshore infrastructure deployment, and strategic energy transition programs, working on initiatives that support regional sustainability goals and national carbon-neutral ambitions. His professional interests include offshore turbine technology, grid integration, marine environmental impact assessment, and the long-term scalability of renewable energy systems. Mr. Fundi has participated in collaborative research efforts with academic and industry partners, focusing on innovation in offshore wind operations and maintenance. He has been recognized within the sector for his contributions to technology modernization and efficiency improvements in coastal wind projects. His ongoing work reflects a commitment to accelerating the deployment of clean, reliable energy resources while promoting responsible environmental stewardship. Overall, Mr. Fundi’s career illustrates a forward-looking vision centered on renewable-energy innovation and the strategic development of China’s offshore wind power capabilities.

Profiles : Scopus | Orcid

Featured Publications

Xiao, T., Lian, J., Ye, F., Xiong, D., & Hao, X. (2024). Experimental and numerical study on motion characteristics of a bucket foundation during immersion process. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2024.117782

Ye, F., Lian, J., Xiao, T., Xiong, D., Wang, H., Guo, Y., & Shao, N. (2024). Behavior Analysis of a Bucket Foundation with an Offshore Wind Turbine during the In-Water Sinking Process. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse12030494

Ye, F., Lian, J., Xiong, D., Wang, H., Guo, Y., Wang, P., & Xiao, T. (2023). Effects of damping plate on the motion response of transport ships under waves. Applied Ocean Research. https://doi.org/10.1016/j.apor.2023.103507

Lian, J., Ye, F., Wang, P., Guo, Y., Wang, H., Xiao, T., & Xiong, D. (2023). Integrated transportation of offshore wind turbine and bucket foundation based on a U and K shaped assembled platform. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2023.114096

Ye, F.-D., Lian, J.-J., Guo, Y.-H., Wang, H.-J., Xiao, T.-R., Xiong, D.-Z., & Yu, T.-S. (2023). Stability Study on the Bucket Foundation with Multi-Compartment During the Floating-up Process Considering Air Compressibility. China Ocean Engineering. https://doi.org/10.1007/s13344-023-0081-8

Sven Marc Henri Colen | Qualitative Research | Best Researcher Award

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Mr. Sven Marc Henri Colen | Qualitative Research | Best Researcher Award

Technical University Munich | Germany

Mr. Sven Marc Henri Colen PhD candidate in Sustainable Corporate Management at the Technical University of Munich, Sven Marc Henri Colen focuses his research on the green relocation of industrial production to developing countries, with a publication in Business Strategy and the Environment and academic engagements at UC Berkeley and international conferences. He holds a Master’s degree in Market-oriented Management (Top 5%) from the Catholic University of Eichstätt-Ingolstadt and a Bachelor’s degree in Law and Economics from the University of Augsburg, complemented by study experiences in Japan and South Korea. Professionally, he served as a Senior Consultant at Roland Berger, leading large-scale sustainability and decarbonization projects across the steel, energy, aviation, and automotive sectors. His consulting work emphasized green hydrogen, carbon reduction strategies, and sustainable business transformations. Actively involved in social entrepreneurship and mentoring, he co-founded a personal development start-up and supports student consultancies across Germany. His research and professional interests lie in corporate sustainability, industrial decarbonization, and green technology transitions. Recipient of several international scholarships, including the DAAD Green Hydrogen Fellowship, he combines academic rigor with practical impact, aiming to foster sustainable industrial transformation and global climate action through interdisciplinary and evidence-based management approaches.

Profile : Orcid

Featured Publications

Colen, S., & Mohnen, A. (2025, November). Between sunlight and sales: Market access constraints and conceptualizing the renewables pull effect.

Colen, S., & Mohnen, A. (2025, May). Unpacking the Renewable Pull Effect: Conditions for Green Industrial Relocation.

Colen, S. (2021, March). NTT International — Transforming a Japanese Keiretsu into a Tech Giant.

Arun Gupta |  Fluid Mechanics | Best Researcher Award

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Dr. Arun Gupta |  Fluid Mechanics | Best Researcher Award

University Institute of Engineering And Technology | India

Dr. Arun Kumar Gupta is an accomplished academician and researcher in the field of Chemical Engineering with over twenty-three years of teaching and research experience. He is currently serving as an Associate Professor at the University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur. Dr. Gupta holds a B.Tech in Chemical Engineering from UIET, CSJMU, an M.Tech, and a Ph.D. in Chemical Engineering from IIT Kanpur. His research interests encompass process modeling and simulation, sustainable chemical processes, environmental engineering, smart farming systems, and the application of IoT and machine learning in chemical engineering. With 27 publications, 14 edited chapters, 3 books, and 1 completed project under the CV Raman Scheme, he has made significant scholarly contributions. He has organized and participated in numerous workshops, conferences, and faculty development programs and has been recognized with several honors, including the “Excellence in Academics Award” at the INDO–THAI International Excellence Awards 2024 and a Gold Medal in the NPTEL ASPEN course. Dr. Gupta’s innovative work has also led to two patents in smart irrigation and sustainable reactor design. Dedicated to advancing engineering education and research, he continues to inspire students and contribute to technological innovation.

Profiles : Orcid | Google Scholar

Featured Publications

Chandra, A.K., Khan, W., Gupta, A.K., Patel, P.B., & Niranjan, R.S. (2025). “E‐Waste: A Leading Hazardous Waste.” In Global Waste Management (pp. 29–61).

Lal, A., Gupta, A.K., Kumar, A., & Indu, N.K.Y. (2010). “Manufacture and study of physico-chemical properties of Karanja bio-diesel.” In Proceedings on Renewable Energy and Sustainable Biofuels (Vol. 4).

Gupta, G.D., & Arun Kumar, G. (2022). “Enhancement in activity and reusability of dry Amberlyst-15 catalyst by thermal treatment for production of biodiesel from Karanja oil.” In Asian Journal of Chemistry, 35(1), 62–68.

Gupta, A.K., & Deo, G. (2018). “A single-step process to convert Karanja oil to fatty acid methyl esters using Amberlyst-15 as a catalyst.” In Chemical and Biochemical Engineering Quarterly, 32(1), 1–10.

Chiu, K., Gupta, A., Afxentiou, T., Ashraf, A., Kanani, R., Rajaguru, K., Bhatt, N., et al. (2025). “Impact of multiprofessional radiotherapy peer review on multidisciplinary team meeting staging in head and neck cancer.” In Clinical Oncology, 38, Article 103696.

Gupta, A.K. (2023). “Various methods for enhancement in heterogeneous catalyzed biodiesel production reaction rate.” In Journal of the Indian Chemical Society, 100(100970), 4.

Xinyu Tan | Machine Learning and AI Applications | Best Researcher Award

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Ms. Xinyu Tan | Machine Learning and AI Applications | Best Researcher Award

University College London | China

Ms. Xinyu Tan is an emerging architect and researcher from University College London, specializing in environmental and computational design. She holds a degree from The Bartlett School of Architecture, UCL, and previously studied at the Hubei Institute of Fine Arts, where she built a strong foundation in fine arts and digital design. Her research focuses on AI-driven urban design, architectural visualization, and sustainable spatial systems that integrate environmental awareness with advanced digital fabrication. With experience at HKS Asia Pacific Design Consulting in Singapore and Shanghai Rosso Cultural & Art Co., Ltd., she has contributed to international projects such as the 2032 Brisbane Olympic Stadium and urban renewal programs emphasizing community and heritage. Ms. Tan has received numerous awards including the Archisource Drawing of the Year 2021, the Zijin Award for Architectural Design, and multiple national recognitions for creativity and environmental design excellence. As a Teaching Assistant at DigitalFUTURES 2025, she supported AI-based interdisciplinary workshops. Her academic performance has earned several scholarships and distinctions, with her artworks preserved by the Hubei Institute of Fine Arts. reflecting her growing research impact in architectural innovation.

Profile : Scopus

Featured Publication

Tan, X. (2025). Visual perception-informed urban design toolkit: Computational urban morphology optimisation to inform real-time perceived safety. Journal of Urban Management. (Open Access).

 

Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

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Dr. Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

Dr. Haoyue Fan | Healthcare Data Analysis – Beijing Institute of Technology | China

Dr. Haoyue Fan is a dedicated researcher and Ph.D. candidate at the School of Management and Economics, Beijing Institute of Technology (BIT). With a multidisciplinary background in information management, engineering, and management science, Dr. Fan explores the intersection of online platforms, IT artifacts, health management, and operations. Her work uniquely blends data-driven technologies and social science, exemplified by her deep learning research on mental health and user behavior. Dr. Fan has published in top-tier journals such as Information & Management, Expert Systems with Applications, and Annals of Operations Research. Her intellectual rigor extends beyond academia, with involvement in national and international research projects supported by the National Natural Science Foundation of China. Passionate about innovation and social impact, she has also contributed to patented technologies in healthcare and AI applications. Dr. Fan is recognized for her leadership and excellence as a top graduate, earning national scholarships and research accolades.

Professional Profile

SCOPUS

Education 

Dr. Haoyue Fan’s academic journey reflects her interdisciplinary approach and academic excellence. She is currently pursuing her Ph.D. in Management Engineering at the Beijing Institute of Technology (2021–Present), where her research focuses on online health platforms and intelligent systems. She completed her MSc in Management Science and Engineering at Beijing University of Chemical Technology (2018–2021). Her thesis and projects during this period addressed challenges in digital healthcare and operational intelligence. Prior to that, Dr. Fan earned a BSc in Information Management from Beijing Language and Culture University (2014–2018), laying the foundation in data processing, systems thinking, and digital infrastructure. Across all degrees, she maintained an outstanding academic record and was honored with multiple awards for excellence in scholarship and leadership. Her academic path reflects a coherent evolution from data and systems to human-centric AI applications in management and healthcare.

Professional Experience 

Dr. Haoyue Fan’s professional trajectory has been deeply rooted in academic research and collaborative innovation. As a Ph.D. researcher at Beijing Institute of Technology, she actively contributes to national-level projects focusing on AI, mental health monitoring, and intelligent systems for public health. Her role has involved deep learning model development, data analysis, and system design, particularly within mobile health environments. Previously, as a master’s student, she contributed to applied research in staff scheduling optimization and peer behavior in online health communities, producing tangible outcomes including patents and conference papers. Dr. Fan has presented at leading conferences like PACIS, INFORMS CIST, and ICC, showcasing her ability to translate complex models into real-world solutions. Her research experience also spans topics such as AI coaching, IT artifact interaction, and hybrid neural models. She has proven capabilities in interdisciplinary teamwork, research execution, and academic leadership, underpinned by her consistent publication record.

Awards and Recognition 

Dr. Haoyue Fan has been recognized for her academic excellence, leadership, and research contributions throughout her academic career. She received the prestigious National Scholarship and the Special Prize Scholarship in 2020, underscoring her status as one of China’s top graduate students. Her Master’s thesis was awarded as Outstanding, and she was named a Beijing Excellent Graduate in 2021. She also earned titles such as Outstanding Student Leader and Excellent School Student, highlighting both her academic and extracurricular leadership. Her research contributions have led to national patents and presentations at premier conferences, showcasing her innovation in health informatics and operational systems. These awards reflect her diligence, originality, and commitment to research with real-world impact. As a scholar consistently ranked at the top of her cohort, Dr. Fan’s accolades represent both peer and institutional recognition of her academic leadership and future potential in management science and technology.

Research Skills 

Dr. Haoyue Fan possesses a rich skillset at the intersection of AI, management engineering, and health informatics. Her core competencies include deep learning, graph-based neural networks, XGBoost, and ensemble machine learning methods, which she applies in predictive analytics and decision-support systems. She has advanced expertise in IT artifact design, health platform behavior analysis, and operations research, especially in complex problem domains like staff scheduling and mental health detection. Dr. Fan is proficient in processing large-scale datasets, designing intervention systems, and conducting cross-disciplinary research within m-health and online communities. She is also experienced in system prototyping, model evaluation, and qualitative behavioral analysis. Her participation in national-level projects has refined her abilities in project management, team collaboration, and data privacy. Her research demonstrates a unique ability to integrate computational rigor with user-centered design, aiming to drive positive outcomes in digital health and public service optimization.

Publications

🤖 Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep Learning – Information & Management, 2025
👩‍⚕️ Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities – IJERPH, 2022
🧠 A Two-Stage Hybrid Credit Default Evaluation Model Using XGBoost and Graph-Based Deep Neural Network – Expert Systems with Applications, 2022
🩸 Staff Scheduling in Blood Collection Problems – Annals of Operations Research, 2020

Emerald Henry – Energy Optimization – Best Researcher Award 

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Mr. Emerald Henry - Energy Optimization - Best Researcher Award 

Covenant University - Nigeria

Author Profile

Early Academic Pursuits

Mr. Emerald Henry embarked on an academic journey rooted in mechanical engineering, obtaining a Bachelor's degree from Covenant University, Nigeria. During this period, Emerald's curiosity for the intersection of engineering and data science began to flourish. For the final year project, Emerald delved into multiple approaches to model the power curve of wind turbines, culminating in the development of a state-of-the-art deep learning model. This project not only showcased Emerald's technical prowess but also resulted in a published work, underscoring the impact of the research on renewable energy technologies.

Professional Endeavors

Mr. Emerald Henry's professional career is marked by a diverse array of roles that span across multiple domains of artificial intelligence and machine learning. Currently serving as a Fullstack AI Engineer at TechWave, Emerald spearheads the development of an Autonomous Course Generator, a groundbreaking tool designed to revolutionize skill acquisition. This involves the creation of AI agents capable of curating comprehensive courses tailored to various expertise levels based on user inputs. The integration of multiple AI modules, such as course structure generators and learning video transcript generators, highlights Emerald's ability to streamline complex processes and enhance educational technologies.

Prior to joining TechWave, Emerald contributed significantly as a Data Science & ML Tutor at LCA, where the focus was on natural language processing (NLP) and the deployment of language models from HuggingFace, Google, and OpenAI. The role also involved developing AI agents and chatbots, further honing skills in MLOps practices and the orchestration of machine learning pipelines using Kubeflow.

Contributions and Research Focus

Mr. Emerald's contributions to the field of AI and ML are extensive, particularly in the healthcare sector. As a Data Scientist at Clinton Health, Emerald led the development of healthcare databases tailored for the Nigerian National Healthcare Sector. This role entailed conducting exploratory data analysis (EDA) and designing dashboards that facilitated data-driven decision-making. The creation of HTML-based tools to streamline healthcare data collection further exemplified Emerald's innovative approach to solving real-world problems.

In the realm of medical imaging, Emerald's tenure as an AI Researcher at Covenant University involved investigating fine-tuning foundation CNN models for the automated diagnosis of lesions and cancer from medical images. This research extended to exploring the application of hybrid vision transformers for classification, segmentation, and reconstruction tasks, contributing to the advancement of medical diagnostic tools. Techniques such as federated learning, contrastive learning, and knowledge distillation were leveraged, resulting in published work on their applications in medical imaging.

Accolades and Recognition

Mr. Emerald Henry's academic and professional journey is punctuated with notable accolades and recognition. The published works on vision transformers in medical imaging, fault detection in wind turbines, and neural network-based power curve models have garnered attention in the research community. These publications reflect Emerald's commitment to advancing the field through rigorous research and innovative applications of machine learning technologies.

Impact and Influence

Mr. Emerald's work has had a profound impact on multiple sectors, from education and healthcare to renewable energy. The development of the Autonomous Course Generator at TechWave has the potential to transform the way skills are acquired, making education more accessible and personalized. In healthcare, the databases and analytical tools developed have enhanced data-driven decision-making, ultimately improving patient outcomes. The innovations in wind turbine fault detection and energy forecasting contribute to the efficiency and reliability of renewable energy sources.

Legacy and Future Contributions

Looking ahead, Emerald Henry is poised to continue making significant contributions to the field of AI and ML. The ongoing projects and research initiatives demonstrate a commitment to leveraging technology for social good. Future endeavors may include further advancements in educational technologies, more sophisticated healthcare analytics tools, and continued innovation in renewable energy solutions.

Emerald's legacy will be defined by a relentless pursuit of excellence and a dedication to harnessing the power of AI to address complex challenges across various domains. The combination of technical expertise, innovative thinking, and a commitment to impactful research ensures that Emerald's contributions will continue to resonate in the field of artificial intelligence and beyond.

Notable Publication

 

Naeim Farouk – Power and Energy – Best Researcher Award

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Prof. Naeim Farouk - Power and Energy - Best Researcher Award

Prince Sattam bin Abdulaziz University - Saudi Arabia

Author Profile

Early Academic Pursuits

Prof. Naeim Farouk Mohammed embarked on his academic journey with a solid foundation in Mechanical Engineering, earning a B.Sc. (Honors) from Red Sea University in Sudan in 1999. Building upon this, he pursued his M.Sc. in Mechanical Engineering at Khartoum University, Sudan, from 2003 to 2006, further honing his expertise. His dedication to academic excellence led him to pursue a Ph.D. in Mechanical Engineering at Harbin Engineering University in China, where he delved deep into his field from 2008 to 2012. Subsequently, he continued his academic pursuits with a Postdoctoral position at the College of Power and Energy Engineering, Harbin Engineering University, from 2012 to 2014.

Professional Endeavors

Equipped with a rich academic background, Mohammed ventured into professional academia with vigor and enthusiasm. He commenced his career as a Teaching Assistant at Red Sea University in 2001, steadily progressing through the ranks to become a Lecturer, then Assistant Professor, and eventually an Associate Professor. His tenure at Red Sea University spanned from 2001 to 2019, during which he significantly contributed to the academic and research landscape. Additionally, Mohammed served as an Assistant Professor and Visiting Researcher at Harbin Engineering University, further broadening his academic horizons.

Contributions and Research Focus

Throughout his career, Mohammed has been deeply engaged in both academic research and teaching. His research endeavors have primarily focused on Mechanical Engineering, with a particular emphasis on areas such as power and energy engineering. With a keen interest in advancing knowledge and technology, Mohammed has authored over 70 papers in ISI journals, showcasing his commitment to scholarly excellence. Furthermore, his supervision of master's students and collaborations with various universities underscore his dedication to nurturing the next generation of engineers and fostering academic collaborations.

Accolades and Recognition

Prof. Mohammed's contributions to the field have garnered widespread recognition and accolades. His membership in esteemed organizations such as ASME, along with his active involvement in international conference committees, reflects his standing within the academic community. Moreover, his extensive publication record attests to the quality and impact of his research contributions, further solidifying his reputation as a distinguished scholar in his field.

Impact and Influence

Prof. Mohammed's influence extends beyond the realms of academia, as evidenced by his tenure as Dean of the College of Technical and Development Studies at Red Sea University. His leadership roles and administrative contributions have left an indelible mark on the institutions he has served, shaping the academic and professional trajectories of countless individuals. Moreover, his proficiency in multiple languages and technical skills underscores his versatility and adaptability in diverse settings.

Legacy and Future Contributions

As Mohammed continues to chart new frontiers in Mechanical Engineering, his legacy as a scholar, educator, and leader remains firmly established. With a steadfast commitment to excellence and innovation, he is poised to make further strides in his field, leaving an enduring impact on both academia and industry. His dedication to advancing knowledge, fostering collaboration, and nurturing talent serves as an inspiration to aspiring engineers and scholars worldwide.

Citations

A total of 1014 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    1014
  • h-index       19
  • i10-index    29

Notable Publication