Qadir Bux Alias Imran Latif Qureshi | Engineering | Best Academic Researcher Award

Qadir Bux Alias Imran Latif Qureshi | Engineering | Best Academic Researcher Award

Associate Professor | University of Nizwa | Oman

Dr. Qadir Bux Alias Imran Latif Qureshi is a researcher and academic in the field of civil and structural engineering, currently affiliated with University of Nizwa. His scholarly work focuses on sustainable construction materials, advanced concrete technologies, and structural performance analysis. With 31 indexed publications, 411 citations, and an h-index of 12, he has established a growing research presence within the engineering community. His research contributions include studies on ultra-high-performance concrete, eco-friendly binders, and artificial intelligence applications in structural engineering. Dr. Qureshi’s work combines experimental investigations with computational modeling to address modern challenges in sustainable infrastructure development. His publications demonstrate consistent academic productivity and practical relevance to the construction industry. Through his research, he contributes to the advancement of durable, efficient, and environmentally responsible engineering solutions. His academic profile reflects dedication to innovation, scientific inquiry, and the promotion of sustainable engineering practices at both regional and international levels.

Professsional Profiles

     • Scopus Profile
     • Google Scholar Profile
     • ORCID Profile

Education

Dr. Qadir Bux Alias Imran Latif Qureshi has developed a strong academic foundation in civil and structural engineering through advanced higher education and specialized technical training. His educational background has supported his expertise in construction materials, structural systems, and sustainable engineering technologies. Throughout his academic journey, he has focused on strengthening his knowledge in advanced concrete technology, material performance evaluation, and computational engineering applications. His education has enabled him to integrate theoretical engineering principles with practical research methodologies, particularly in the field of sustainable infrastructure development. The combination of academic training and research-oriented learning has contributed significantly to his professional growth as a scholar and researcher. His educational preparation also supports his interdisciplinary approach toward experimental and analytical studies in structural engineering. Through continuous academic engagement and professional development, Dr. Qureshi has built the technical competence required to contribute effectively to modern engineering research, sustainable construction practices, and innovation-driven structural engineering solutions.

Professional Experience

Dr. Qadir Bux Alias Imran Latif Qureshi has gained valuable professional and academic experience in the field of civil and structural engineering through his involvement in research, teaching, and technical investigations. As a researcher affiliated with University of Nizwa, he has contributed to the advancement of sustainable construction technologies and structural engineering practices. His professional activities include conducting experimental studies, supervising engineering research, and participating in collaborative academic projects related to advanced concrete materials and structural performance evaluation. He has worked extensively on integrating computational tools and artificial intelligence techniques into engineering analysis and predictive modeling. His experience also includes preparing scientific publications, presenting technical findings, and supporting innovation in sustainable infrastructure development. Through his consistent scholarly contributions and technical expertise, Dr. Qureshi has established a professional profile that reflects analytical capability, research leadership, and commitment to addressing engineering challenges using modern scientific and technological approaches.

Research Interest

Dr. Qadir Bux Alias Imran Latif Qureshi’s research interests are centered on civil and structural engineering, with particular emphasis on sustainable construction materials and advanced concrete technologies. His work focuses on ultra-high-performance concrete, environmentally friendly binders, and innovative material systems designed to improve structural durability and sustainability. He is also actively interested in artificial intelligence applications in structural engineering, including predictive modeling and performance optimization of construction materials. His research integrates experimental investigations with computational analysis to evaluate the behavior of structural systems under varying conditions. Dr. Qureshi is committed to advancing sustainable infrastructure by developing engineering solutions that reduce environmental impact while maintaining structural efficiency and long-term performance. His interests further extend to material characterization, structural reliability, and the use of emerging technologies for modern construction practices. Through interdisciplinary research approaches, he aims to contribute to resilient, cost-effective, and environmentally responsible engineering systems for future infrastructure development.

Awards and Honors

Dr. Qadir Bux Alias Imran Latif Qureshi has received professional recognition for his growing contributions to civil and structural engineering research, particularly in the area of sustainable construction technologies. His academic profile, supported by 31 indexed publications, 411 citations, and an h-index of 12, reflects consistent scholarly impact and research productivity. He has been recognized through nomination for the Best Academic Researcher Award under the Engineering category at the International Research Awards 2026. This recognition highlights his contributions to advanced concrete technologies, sustainable materials research, and AI-based structural modeling. His work has gained visibility within the engineering research community due to its practical relevance and innovative approach toward sustainable infrastructure development. In addition to formal recognition, his publications and citation performance demonstrate growing academic influence and professional credibility. His achievements reflect dedication to engineering excellence, scientific advancement, and the promotion of environmentally responsible construction practices.

Conclusion

Dr. Qadir Bux Alias Imran Latif Qureshi demonstrates a strong and steadily developing academic profile in sustainable structural engineering. His contributions to advanced concrete research, AI-based modeling, and sustainable infrastructure highlight his commitment to innovation and scientific excellence, making him a valuable contributor to modern civil engineering research and development.

Publications Top Noted

Advanced Mechanical Performance of Ultra-High-Performance Concrete Using Sustainable Materials
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2023
  Citation: Construction and Building Materials | Citations: 90+

Artificial Intelligence-Based Prediction Models for Structural Concrete Performance
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2022
  Citation: Journal of Building Engineering | Citations: 70+

Green Binder Systems for Eco-Friendly Concrete Applications
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2020
  Citation: Materials Today: Proceedings | Citations: 60+

Experimental Investigation of Fiber-Reinforced Cementitious Composites
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2021
  Citation: Case Studies in Construction Materials | Citations: 50+

Numerical and Experimental Analysis of Structural Concrete Systems
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2019
  Citation: Structures | Citations: 40+

Durability Evaluation of Sustainable Cement-Based Composites
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2023
  Citation: Sustainability | Citations: 35+

Sustainable Construction Materials for Modern Infrastructure Development
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2022
  Citation: Journal of Cleaner Production | Citations: 30+

Optimization of Structural Systems Using Computational Engineering Approaches
  Authors: Qadir Bux Alias Imran Latif Qureshi, et al.
  Year: 2020
  Citation: Engineering Structures | Citations: 25+

Yonas Gezahegn | Engineering | Best Researcher Award

Dr. Yonas Gezahegn | Engineering | Best Researcher Award

Nestle Purina/Washington State University | United States

Dr. Yonas A. Gezahegn is a distinguished research and development engineer specializing in thermal and food process engineering, with extensive expertise in microwave-assisted thermal sterilization and pasteurization, heat and mass transfer, biochemical engineering, and food safety. With over 15 years of academic and industry experience, Dr. Gezahegn has developed a strong reputation for integrating engineering principles with advanced experimental and computational methods to optimize food processing and thermal treatment technologies. His research bridges the gap between fundamental engineering science and industrial applications, ensuring both efficiency and safety in food production systems. Dr. Gezahegn’s academic training includes a PhD in Biological Systems Engineering (Food Engineering) from Washington State University, where he focused on optimization of microwave-assisted thermal sterilization and pasteurization processes using analytical models and computer simulations. His prior degrees include a Master’s in Chemical Engineering from Addis Ababa University, and a Bachelor’s in Food and Biochemical Technology from Bahir Dar University, where his research addressed critical challenges in oil and fat extraction, fermentation, and food quality assessment. Currently serving as R&D Process Engineer – Thermal Process Expert at Nestle Purina, Dr. Gezahegn leads projects on process improvement, thermal sterilization validation, and retort commissioning for low-acid and acidified food products. He has successfully managed large-scale research projects, including microwave-assisted thermal processing of breaded meats, temperature distribution studies, and process optimization for commercial food production. His work also encompasses pilot-plant scale-up, analytical characterization, and data-driven modeling to ensure precise control of thermal processing conditions. Dr. Gezahegn has published over 12 peer-reviewed journal articles in top-tier journals, including the Journal of Food Engineering, Current Research in Food Science, Innovative Food Science & Emerging Technologies, Food Science and Nutrition, and LWT – Food Science and Technology. His publications focus on microwave-assisted processing, dielectric properties of foods, thermal pasteurization optimization, and oil extraction technologies. Notably, his research has led to multiple patents, including a utility model for screw expeller-based shea butter extraction and pending patents on gluten-free pizza crust and crispy breaded food processes. His work has been widely cited in the food engineering and process optimization communities, highlighting his influence in both academic and industrial research. In addition to research, Dr. Gezahegn has contributed extensively to industry-academic collaborations, securing competitive grants such as the USDA-NIFA and WSU Hatch projects totaling over USD 4 million, and Ethiopian national projects on drying and fermentation of plant-based products. Dr. Gezahegn published 12+ peer-reviewed articles, 550 Citations and 10 H-index.  His projects integrate  analytical modeling, simulation, experimental validation, and process design to improve efficiency, safety, and nutritional quality in food production. Dr. Gezahegn has served as a reviewer for journals including Applied Food Research, Journal of Food Engineering, and the International Journal for Vitamin and Nutrition Research, reflecting his standing in the research community. His leadership extends to professional societies, including IFT, IMPI, SoFE, and ASABE, and he has held roles such as President of the Food Engineering Club and departmental representative in the Graduate and Professional Student Association. Overall, Dr. Gezahegn’s work demonstrates a sustained commitment to advancing food engineering, thermal process optimization, and industrial innovation, making significant contributions to improving food safety, process efficiency, and product quality. His research portfolio combines rigorous academic scholarship with practical applications, establishing him as a leading expert in thermal food processing and microwave-assisted sterilization technologies.

Profiles: Scopus | Orcid

Featured Publications

Gezahegn, Y., Tang, J., et al. (2024). Development and validation of engineering charts: Heating time and optimal salt content prediction for microwave assisted thermal sterilization. Journal of Food Engineering, 369, 111909. https://doi.org/10.1016/j.jfoodeng.2023.111909

Gezahegn, Y., Yoon-Ki, H., Tang, J., et al. (2023). Development and validation of analytical charts for microwave assisted thermal pasteurization of selected food products. Journal of Food Engineering, 349, 111434. https://doi.org/10.1016/j.jfoodeng.2023.111434

Zhou, X., Gezahegn, Y., et al. (2023). Theoretical reasons for rapid heating of vegetable oils by microwaves. Current Research in Food Science, 7, 100641. https://doi.org/10.1016/j.crfs.2023.100641

Gezahegn, Y., Tang, J., Sablani, S., et al. (2021). Dielectric properties of water relevant to microwave assisted thermal pasteurization and sterilization of packaged foods. Innovative Food Science & Emerging Technologies, 74, 102837. https://doi.org/10.1016/j.ifset.2021.102837

Gezahegn, Y., Emire, S., & Asfaw, S. (2016). Optimization of Shea (Vitellaria paradoxa) butter quality using screw expeller extraction. Food Science & Nutrition, 4(6), 840–847. https://doi.org/10.1002/fsn3.351

Gezahegn, Y., Emire, S., & Asfaw, S. (2016). Effect of processing factors on Shea (Vitellaria paradoxa) butter extraction. LWT – Food Science and Technology, 66, 172–178. https://doi.org/10.1016/j.lwt.2015.10.036

 

Dandan Zhu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Dandan Zhu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Dandan Zhu,China University of Petroleum, Beijing,China

Dr. Dandan Zhu, Associate Professor at China University of Petroleum, Beijing, is a leading researcher in integrating artificial intelligence with petroleum engineering. Her work on intelligent drilling technologies and real-time trajectory control has advanced automation in complex subsurface environments. With over 40 research projects, 39 journal publications, and multiple patents, she bridges theory and field application. Her innovative learning frameworks and strong industry collaborations have significantly contributed to the development of smart drilling systems, reinforcing her candidacy for the Best Researcher Award.

Author Profile

Google  Scholar

🎓 Early Academic Pursuits

Dr. Dandan Zhu’s academic journey reflects a deep-rooted passion for engineering and innovation. Her pursuit of excellence began at Beihang University, one of China’s leading institutions in aerospace and engineering, where she earned her Master’s degree in Aircraft Design. This foundational training laid the groundwork for her precision-oriented approach and problem-solving mindset. Driven by a keen interest in cutting-edge technologies and global research exposure, she went on to pursue a Ph.D. in Precision Engineering at the University of Tokyo, Japan. Her doctoral research refined her expertise in high-accuracy systems and complex mechanical processes—skills that would later fuel her contributions in artificial intelligence (AI) and petroleum engineering.

🧑‍💼 Professional Endeavors

Since 2015, Dr. Zhu has served as an Associate Professor at the College of Artificial Intelligence, China University of Petroleum, Beijing (CUPB). In this role, she has emerged as a thought leader and mentor in the field of intelligent energy systems. Her work involves teaching, supervising postgraduate students, and leading several high-impact research initiatives. Dr. Zhu has also built a bridge between academia and industry by actively participating in national-level science and technology programs, NSFC–enterprise joint funding projects, and technical consultations with leading energy companies. Her professional portfolio boasts 40 completed and ongoing research projects and 27 consultancy or industry-driven assignments. These efforts are deeply rooted in real-world challenges, ensuring that her research not only advances academic knowledge but also meets the evolving demands of energy exploration and production sectors.

🧠 Contributions and Research Focus

Dr. Zhu’s core research area lies at the intersection of artificial intelligence and petroleum engineering. Her pioneering work focuses on intelligent drilling systems, real-time wellbore trajectory control, reinforcement learning, and geological modeling. She has developed a robust learning framework that combines offline training, real-time geosteering decision-making, and post-drilling strategy optimization. By leveraging reinforcement learning algorithms and generative simulation environments, Dr. Zhu’s research enhances the adaptability and robustness of drilling operations in geologically uncertain environments. Her research contributions extend beyond theory. Integrated software platforms developed under her leadership have been field-tested in collaboration with major Chinese oil and gas companies, such as CNPC, Sinopec, and CNOOC. These platforms facilitate intelligent automation in subsurface operations, ensuring improved safety, efficiency, and cost-effectiveness.

🏅 Accolades and Recognition

Although Dr. Zhu maintains a modest public profile, her work has earned substantial recognition within academic and professional circles. She has authored 39 papers in reputed journals indexed by SCI and Scopus, and her publications have collectively received over 60 citations since 2020—a testament to their relevance and influence. Her book, published under ISBN: 978-7-3025-3524-9, further underscores her authority in the domain of intelligent drilling technologies. She holds five patents, reflecting her commitment to innovation and practical impact. While she has not yet served on editorial boards, her active participation in international conferences and professional associations such as IEEE, ACM, and SPE demonstrates her ongoing contribution to the global scientific community through peer review and scholarly discourse.

🌍 Impact and Influence

Dr. Zhu’s interdisciplinary collaborations have significantly influenced both academia and industry. Her work has helped develop more intelligent, data-driven petroleum engineering systems, contributing to the broader push for digital transformation in energy exploration. Through partnerships with research institutions and enterprises, she has been instrumental in advancing the application of AI in areas such as hydraulic fracturing, electromagnetic exploration, and 3D geological visualization. Beyond technical outcomes, her projects have delivered impactful results such as enhanced resource recovery, reduced environmental impact, and optimized operational costs—outcomes highly valued by industrial stakeholders. Furthermore, her mentorship of students and young researchers ensures the continuity of innovation and excellence in the field.

🔮 Legacy and Future Contributions

Looking forward, Dr. Zhu is poised to further advance the integration of AI with traditional engineering practices. Her vision includes the development of autonomous drilling systems that can self-optimize and self-correct in real time, even in highly unpredictable geological conditions. She also plans to expand research into simulation-based control frameworks and digital twins, providing a virtual testing ground for future subsurface technologies. With her continued dedication, Dr. Zhu is expected to leave a lasting legacy as a trailblazer in intelligent energy systems. She not only represents the new era of AI-driven engineering but also serves as an inspiration for the next generation of researchers aiming to solve the world’s most pressing energy challenges.

✍️Publication Top Notes


📘End-to-end multiplayer violence detection based on deep 3D CNN

Author: C Li, L Zhu, D Zhu, J Chen, Z Pan, X Li, B Wang

Journal: international conference on network …

Year: 2018


📘PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning

Author: K Zhang, DD Zhu, Q Xu, H Zhou, C Zheng

Journal: international conference on network …arXiv preprint arXiv:2403.02635

Year:  2024


📘An intelligent drilling guide algorithm design framework based on high interactive learning mechanism

Author: Y Zhao, DD Zhu, F Wang, XP Dai, HS Jiao, ZJ Zhou

Journal: Petroleum Science

Year:  2025

Huiqin jia | Engineering | Women Researcher Award | 13437

Prof. Huiqin jia | Engineering | Women Researcher Award

Prof. Huiqin jia, xi’an shiyou university, China

Prof. Huiqin Jia, a distinguished faculty member at Xi’an Shiyou University, China, is a leading expert in multiphase flow detection methods and related signal processing algorithms. With a Ph.D. earned in 2003 and rich experience across academia and industry, she has spearheaded over 20 high-impact scientific research projects and collaborated with major enterprises such as CNOOC, Sinopec, and PetroChina. Her prolific contributions include 70+ published papers, 20+ patents, and numerous software copyrights. Her innovative work in ultrasound, radio frequency, and optical detection techniques has significantly advanced measurement technologies in the oil and gas sector.

Profile

Scopus

🎓 Early Academic Pursuits

Prof. Huiqin Jia embarked on her academic journey with a solid foundation in engineering and applied sciences. She earned her Ph.D. in 2003, demonstrating early excellence in scientific inquiry and dedication to solving real-world engineering problems. Her passion for technological innovation and multidisciplinary research guided her path toward applied instrumentation and process control — especially in fields closely tied to energy systems and industrial measurement technologies.

During her early academic years, Prof. Jia laid the groundwork for what would become a prolific research career. Her graduate and doctoral work shaped her interest in multiphase flow systems, a complex and essential area for oil, gas, and petrochemical industries.

🏢 Professional Endeavors

Following her doctoral studies, Prof. Jia gained extensive experience in industry, which significantly enriched her practical understanding of engineering challenges. Her transition to academia marked a new chapter, where she blended theoretical insight with field-based application.

As a professor at Xi’an Shiyou University, she has led more than 20 national, provincial, and ministerial research projects, including strategic collaborations with industrial leaders such as CNOOC Oilfield Services, Sinopec, and PetroChina. This strong academia-industry synergy has allowed her to translate scientific theories into commercially viable and technologically advanced products.

Her leadership roles also extend to academic peer review, currently serving as a reviewer for the Journal of Measurement and Control Technology, a testament to her respected authority in the field.

🔬 Contributions and Research Focus

Prof. Jia’s research primarily focuses on multiphase flow detection methods, a challenging area critical to process control in petroleum and chemical industries. She has developed groundbreaking technologies, including:

  • An ultrasound-based detection system for measuring flow characteristics in oil and gas extraction.

  • A radio frequency method for water content measurement.

  • An optical detection system for foam content analysis.

These innovations are not just academic; they are the basis for several instruments now used in industry to improve operational safety, accuracy, and efficiency.

Her contributions have resulted in:

  • Over 70 published research papers, many in high-impact SCI and Scopus-indexed journals.

  • More than 20 authorized invention patents.

  • Over 30 software copyrights.

  • 10 consultancy/industry projects, demonstrating applied impact.

  • One published book with ISBN.

  • 13 citation index entries, marking the influence of her work across scholarly networks.

🏅 Accolades and Recognition

Prof. Jia is widely recognized for her contributions to both science and society. She is a respected member of:

  • The China Petroleum Society

  • The China Instrument and Control Society

Her selection as a nominee for the Women Research Award is a reflection of her role as a trailblazer among women in engineering and instrumentation. Her continued contributions, especially in male-dominated technical fields, highlight her as a role model for aspiring women researchers.

🌍 Impact and Influence

The impact of Prof. Jia’s work goes beyond academic citations. Her innovative measurement tools have real-world utility, enabling better monitoring and control in energy production processes. Her close collaborations with China’s major oil enterprises demonstrate her role in bridging the gap between research and industry, influencing both technological advancement and economic development.

Her consultancy projects not only solve industry-specific problems but also foster long-term research alliances that enable sustainable innovation in the field of process measurement and automation.

🔗 Legacy and Future Contributions

Prof. Huiqin Jia’s legacy is already marked by a blend of academic excellence, industrial collaboration, and technological innovation. Looking forward, she is well-positioned to:

  • Expand research into AI-enhanced signal processing for multiphase systems.

  • Mentor the next generation of female scientists and engineers.

  • Further strengthen the link between academic research and practical industrial solutions.

Her work is setting a high standard for applied instrumentation research in China and internationally, offering innovative solutions to long-standing engineering challenges.

📄 Publication Top Notes

Author: H., Jia, F., Li, FeHuiqini, J., Zhao, Jiaxuan, Z., Sun, Zhimeng
Journal: Measurement
Year: 2025
Author: H., Jia, Huiqin, D., Wan, Dandan, J., Zhou, Jiacheng, Y., Wei, Yi
Journal: Measurement and
Year: 2024