Mohanad Alfellag | Engineering | Best Paper Award

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Best Paper Award

Mohanad Alfellag
AffiliationUniversity of Anbar
CountryMalaysia
Scopus ID57199198827
Documents17
Citations354
h-index10
Subject AreaEngineering
EventInternational Research Awards
ORCID0000-0002-6243-7553

Mohanad Alfellag

University of Anbar

The Best Paper Award recognizes scholarly publications that demonstrate originality, methodological rigor, scientific relevance, and measurable contributions to the advancement of knowledge. Mohanad Alfellag has established an academic profile in engineering through peer-reviewed publications, documented citation impact, and sustained research activity indexed within internationally recognized scholarly databases. His publication record and citation metrics indicate consistent engagement with engineering research and interdisciplinary collaboration, providing a suitable basis for consideration within the International Research Awards evaluation framework.[1]

Abstract

The Best Paper Award acknowledges publications that combine innovative research questions, robust analytical methodologies, and meaningful scientific outcomes. Mohanad Alfellag’s documented publication record, citation performance, and engineering research activities reflect continued participation in peer-reviewed scholarly communication. Citation-based indicators, including an h-index of 10 and more than three hundred citations, demonstrate measurable academic influence while supporting the dissemination of engineering knowledge across the scientific community.[1][2]

Keywords

Engineering, Best Paper Award, Scholarly Publishing, Citation Analysis, Scopus, Research Excellence, Academic Recognition, Peer Review, Scientific Impact, Innovation.

Introduction

Academic recognition programs emphasize research quality, originality, reproducibility, and scholarly influence. The Best Paper Award serves as an indicator of publication excellence by recognizing studies that contribute meaningful advances within their respective disciplines. Engineering research frequently requires multidisciplinary collaboration, rigorous experimentation, and practical applicability, making publication quality an important benchmark for evaluating scientific achievement.[3]

Research Profile

Mohanad Alfellag is affiliated with the University of Anbar and has established a documented scholarly presence in engineering. According to indexed bibliographic information, his Scopus author profile includes 17 indexed publications, 354 citations, and an h-index of 10. These indicators provide quantitative evidence of research dissemination and scholarly engagement through peer-reviewed scientific literature.[1]

Research Contributions

The research contributions associated with Mohanad Alfellag demonstrate continued participation in engineering investigations involving analytical methods, scientific experimentation, and publication within recognized academic journals. His work contributes to the broader engineering knowledge base through documented research outputs and scholarly communication that support ongoing scientific development.[1]

Publications

The researcher’s publication portfolio consists of peer-reviewed engineering articles indexed within Scopus. These publications collectively demonstrate sustained scholarly productivity and measurable citation performance. Individual articles have contributed to the accumulation of citations that reflect academic visibility within the engineering research community.[1]

Research Impact

Citation metrics provide one indicator of scholarly influence by measuring how frequently published work is referenced within subsequent academic literature. Mohanad Alfellag’s citation record and h-index demonstrate that multiple publications have achieved continuing visibility within engineering research. Such indicators are commonly considered alongside publication quality, originality, and scientific significance during research evaluation processes.[1][3]

Award Suitability

Based on publicly available bibliographic indicators, Mohanad Alfellag demonstrates characteristics commonly evaluated for the Best Paper Award, including peer-reviewed publications, measurable citation performance, engineering research activity, and documented scholarly impact. Final award decisions typically incorporate qualitative assessment of originality, methodological quality, scientific contribution, and peer-review evaluations in addition to bibliometric indicators.[1][4]

Conclusion

The documented research profile of Mohanad Alfellag reflects sustained scholarly engagement within engineering through peer-reviewed publications, citation impact, and recognized bibliographic indexing. These academic indicators support consideration for recognition programs such as the Best Paper Award while emphasizing the importance of research quality, transparency, originality, and continuing scientific contribution to the international research community.[1]

References

  1. Elsevier. (2026). Scopus author details: Mohanad Alfellag, Author ID 57199198827. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57199198827
  2. ORCID. (2026). ORCID record for Mohanad Alfellag.https://orcid.org/0000-0002-6243-7553
  3. Mohanad Alfellag (2026). Example DOI Reference:
    https://www.uoanbar.edu.iq/English/staff-page.php?ID=710
  4. International Research Awards. (n.d.). Best Paper Award – Evaluation and Recognition.https://researchawards.net/

Tinggui Chen | Engineering | Research Excellence Award

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Dr. Tinggui Chen | Engineering | Research Excellence Award 

Hefei University of Technology | China

Dr. Tinggui Chen is a highly accomplished researcher and academic in the field of mechanical engineering, with a specialized focus on acoustic metamaterials, phononic crystals, and advanced signal detection techniques. He completed his doctoral studies in mechanical engineering under the supervision of Prof. Dejie Yu at Hunan University, after earning both his bachelor’s degree from Hainan University and master’s degree from Hunan University. During his doctoral tenure, he developed innovative methodologies for enhancing acoustic sensing and signal detection using engineered metamaterials, establishing a strong foundation for his research career. Dr. Chen’s work is characterized by its combination of theoretical insight and experimental rigor, particularly in the design and application of gradient metamaterials, coiling-up structures, and space-time-modulated systems. His research has led to significant advancements in weak signal detection, directional acoustic sensing, and energy amplification in phononic systems. Notably, his studies on multi-frequency signal enhancement via gradient defect phononic crystals and space-time-modulated airborne acoustic circulators demonstrate his ability to bridge fundamental physics with practical engineering applications. He has actively contributed to the international scientific community through his extensive publication record, which includes articles in high-impact journals such as Measurement, Physical Review Applied, IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing, Journal of Sound and Vibration, IEEE Sensors Journal, Journal of Physics D: Applied Physics, and Physical Review B. These publications reflect his sustained focus on acoustic metamaterials, phononic crystal resonators, and novel techniques for signal demodulation and amplification, marking him as a leading expert in his domain. Dr. Chen’s research trajectory has also been enriched by international exposure and collaborative experiences. As a visiting scholar at EPFL under Prof. Romain Fleury, he explored cutting-edge experimental demonstrations in acoustic systems, further strengthening his expertise in wave manipulation and signal processing. Currently, as a postdoctoral researcher at Shanghai Jiao Tong University and an assistant professor at Hefei University of Technology, he continues to advance both fundamental and applied research, integrating computational modeling, experimental acoustics, and material design. His contributions have significant implications for industrial monitoring, structural health assessment, and the development of high-precision acoustic devices. With a strong focus on innovation, interdisciplinary collaboration, and practical application, Dr. Chen exemplifies the integration of scientific research and engineering solutions, positioning him as a rising leader in the field of mechanical engineering and acoustic metamaterials.

Profile: Orcid

Featured Publications

Chen, T., Zhu, M., Li, L., Wei, H., & Xia, B. (2026). Multi-frequency weak signals enhancement detection via gradient defect phononic crystals. Measurement, 261, 119933. https://doi.org/10.1016/j.measurement.2025.119933

Chen, T., Malléjac, M., Bi, C., Xia, B., & Fleury, R. (2025). Experimental demonstration of a space-time-modulated airborne acoustic circulator. Physical Review Applied, 23, 054017. https://doi.org/10.1103/PhysRevApplied.23.054017

Chen, T., Xia, B., Yu, D., & Bi, C. (2024). Robust enhanced acoustic sensing via gradient phononic crystals. Physics Letters A, 440, 129242. https://doi.org/10.1016/j.physleta.2023.129242

Chen, T., Wang, C., & Yu, D. (2022). Pressure amplification and directional acoustic sensing based on a gradient metamaterial coupled with space-coiling structure. Mechanical Systems and Signal Processing, 181, 109499. https://doi.org/10.1016/j.ymssp.2022.109499

Chen, T., & Yu, D. (2022). A novel method for enhanced demodulation of bearing fault signals based on acoustic metamaterials. IEEE Transactions on Industrial Informatics, 18(10), 6857–6864. https://doi.org/10.1109/tii.2022.3143161

Chen, T., Jiao, J., & Yu, D. (2022). Strongly coupled phononic crystals resonator with high energy density for acoustic enhancement and directional sensing. Journal of Sound and Vibration, 529, 116911. https://doi.org/10.1016/j.jsv.2022.116911

Sedighe Mirbolouk | Engineering | Editorial Board Member

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Dr. Sedighe Mirbolouk | Engineering | Editorial Board Member 

Iran National Science Foundation | Iran

Dr. Sedighe Mirbolouk is a dedicated postdoctoral researcher and advanced machine learning specialist with strong expertise in communication systems, data science, and artificial intelligence. She is affiliated with the Iran National Science Foundation and has built a diverse research portfolio spanning deep learning, wireless communication optimization, image processing, and intelligent sensing systems. Her technical proficiency covers a wide spectrum of tools and programming environments, including Python, MATLAB, LATEX, and advanced libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, SciPy, Pandas, and Matplotlib. With a strong theoretical foundation in data telecommunication networks, convex optimization, communication theory, and signal and image processing, she integrates computational intelligence with modern communication challenges. In her role as a Postdoctoral Researcher (2024–2025) at the Iran National Science Foundation, Dr. Mirbolouk focuses on cutting-edge topics in graph learning and federated learning, particularly designing machine learning approaches for predictive beamforming in Reconfigurable Intelligent Surface (RIS)-aided Integrated Sensing and Communication (ISAC) systems. Her work aims to improve efficiency, adaptability, and intelligence in next-generation wireless communication networks. Previously, she served as a Visiting Researcher (2022) at the University of Oulu in Finland, where she explored advanced deep reinforcement learning methods to enhance ISAC designs. These research experiences have positioned her at the frontier of combining AI with communication technologies. During her doctoral studies at the University of Urmia (2018–2021), Dr. Mirbolouk contributed significantly to satellite–UAV cooperative network optimization. She developed innovative solutions involving UAV selection and power allocation for CoMP-NOMA transmissions, introducing both Lagrangian and heuristic algorithms that advanced energy-efficient communication frameworks. Alongside communications research, she proposed image processing solutions such as fuzzy histogram weighting methods and contrast enhancement techniques. Her academic involvement includes teaching core engineering subjects—Digital Communication, Probability and Statistics, and Signals and Systems—and assisting courses on Stochastic Processes and Digital Signal Processing. Her work at the National Elite Foundation (2020–2022) expanded her portfolio into biomedical machine learning applications, where she designed systems for automatic breast cancer detection using histopathology images and cardiac arrhythmia recognition using ECG signals through deep learning approaches. Dr. Mirbolouk holds a Ph.D. in Electrical Engineering, with earlier B.Sc. and M.Sc. degrees from the University of Guilan, where she studied SAR radar Doppler ambiguity for moving targets. Her scholarly contributions include high-impact publications in journals such as IEEE Transactions on Vehicular Technology, Physical Communication, and Multimedia Tools and Applications. Collectively, her research reflects an outstanding integration of machine learning, optimization, sensing, and communication technologies.

Profile: Google Scholar

Featured Publications

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Ali, S. (2022). Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission. IEEE Transactions on Vehicular Technology, 71(5), 5087–5100.

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Choukali, M. A. (2021). A fuzzy histogram weighting method for efficient image contrast enhancement. Multimedia Tools and Applications, 80(2), 2221–2241.

Mirbolouk, S., Choukali, M. A., Valizadeh, M., & Amirani, M. C. (2020). Relay selection for CoMP-NOMA transmission in satellite and UAV cooperative networks. 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1–5.

Choukali, M. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2023). A desired histogram estimation accompanied with an exact histogram matching method for image contrast enhancement. Multimedia Tools and Applications, 82(18), 28345–28365.

Hussein, A. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2025). Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework. Scientific Reports, 15(1), 25071.

Choukali, M. A., Mirbolouk, S., Valizadeh, M., & Amirani, M. C. (2024). Deep contextual bandits-based energy-efficient beamforming for integrated sensing and communication. Physical Communication, 68, 102576.

Yonas Gezahegn | Engineering | Best Researcher Award

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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

 

Huiqin jia | Engineering | Women Researcher Award | 13437

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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

Artificial neural network model based on improved VMD algorithm to monitor sand mass flow rate in natural gas pipeline

Author: H., Jia, , , F., Li, FeHuiqini, … J., Zhao, Jiaxuan, Z., Sun, Zhimeng
Journal: Measurement
Year: 2025

Design and simulation of small-sized antenna in microwave transmission method for water content measurement instrument

Author: H., Jia, Huiqin, D., Wan, Dandan, J., Zhou, Jiacheng, Y., Wei, Yi
Journal: Measurement and
Year: 2024