Nilaj Deshmukh | Engineering | Research Excellence Award

Research Excellence Award

Nilaj Deshmukh
Affiliation FCRIT Vashi
Country India
Scopus ID 57190978608
Documents 35
Citations 176
h-index 6
Subject Area Engineering
Event International Research Awards
ORCID 0000-0002-4244-6882

Nilaj Deshmukh
FCRIT Vashi, India

The Research Excellence Award recognizes sustained scholarly achievement, measurable research impact, and meaningful academic contributions within the field of Engineering. Nilaj Deshmukh of FCRIT Vashi has established a documented research profile through peer-reviewed publications, scholarly citations, and recognized indexing within Scopus, reflecting active participation in engineering research and scientific dissemination.[1]

Abstract

This article presents an overview of the academic profile of Nilaj Deshmukh in the context of consideration for the Research Excellence Award. The profile reflects scholarly productivity, peer-reviewed publication activity, citation performance, and engagement with engineering research. Quantitative indicators including publication count, citation metrics, and h-index provide objective evidence supporting research visibility and academic influence.[1]

Keywords

Engineering Research, Research Excellence, Scopus Author Profile, Scholarly Publications, Citation Analysis, Academic Recognition

Introduction

Academic recognition programs commonly evaluate researchers using transparent scholarly indicators alongside qualitative assessment of research significance. Publication records indexed in international databases, citation performance, and sustained research engagement provide important evidence for evaluating academic achievement. Within this framework, Nilaj Deshmukh demonstrates an established research presence in Engineering through documented scholarly output.[1]

Research Profile

Nilaj Deshmukh is affiliated with FCRIT Vashi, India. According to the available Scopus author profile, the researcher has produced 35 indexed scholarly documents with 176 citations and an h-index of 6. These bibliometric indicators demonstrate sustained research activity and measurable scholarly visibility within engineering disciplines.[2]

Research Contributions

The research contributions associated with this academic profile reflect participation in engineering investigations, publication of peer-reviewed studies, and dissemination of scientific findings through recognized scholarly channels. Citation performance indicates that published work has been referenced by other researchers, illustrating continued engagement within the academic community.[2]

Publications

The publication portfolio consists of peer-reviewed engineering research indexed within Scopus. Such publications contribute to scientific communication, encourage scholarly collaboration, and support knowledge development through reproducible research practices. Many indexed engineering publications include persistent Digital Object Identifiers (DOIs), enabling reliable citation and long-term accessibility.[3]

Research Impact

Research impact is commonly evaluated using bibliometric measures such as publication count, citation frequency, and h-index together with qualitative assessment of scientific relevance. The available indicators associated with Nilaj Deshmukh demonstrate continuing scholarly engagement and measurable visibility within Engineering research communities.[2]

Award Suitability

The documented research record aligns with common evaluation criteria applied by international academic award programs, including peer-reviewed publication activity, citation impact, institutional affiliation, and scholarly visibility. These objective indicators support consideration for recognition within the International Research Awards while remaining subject to the independent evaluation procedures established by the award organizers.[3]

Conclusion

Nilaj Deshmukh’s documented academic profile demonstrates continued participation in engineering research through peer-reviewed publications, citation activity, and internationally indexed scholarly records. These characteristics provide a structured basis for academic evaluation and recognition within established research award frameworks while emphasizing objective bibliometric evidence and scholarly contribution.[1]

References

    1. Elsevier. (2026). Scopus author details: Nilaj Deshmukh, Author ID 57190978608. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57190978608
    2. ORCID. (2026). ORCID record for Nilaj Deshmukh.
      https://orcid.org/0000-0002-4244-688
    3. International Research Awards. (2026). Award information and evaluation overview.
      https://researchawards.net/

Mohanad Alfellag | Engineering | Best Paper Award

Best Paper Award

Mohanad Alfellag
Affiliation University of Anbar
Country Malaysia
Scopus ID 57199198827
Documents 17
Citations 354
h-index 10
Subject Area Engineering
Event International Research Awards
ORCID 0000-0002-6243-7553

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.uriauthorId=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. (2026). Research Excellence Award Program.
    https://researchawards.net/

Anant Kurhade | Engineering | Excellence in Research Award

Excellence in Research Award

Anant Kurhade
Savitribai Phule Pune University, India
Anant Kurhade
Affiliation Savitribai Phule Pune University
Country India
Scopus ID 57223995393
Documents 91
Citations 1762
h-index 27
Subject Area Engineering
Event International Research Awards

The Excellence in Research Award recognizes the scholarly and scientific contributions of Anant Kurhade, affiliated with Savitribai Phule Pune University, India. The recognition highlights sustained academic productivity, impactful engineering research, and contributions to scientific advancement through peer-reviewed publications, collaborative investigations, and citation influence within the engineering research community.[1] The award is associated with the International Research Awards platform, which acknowledges researchers demonstrating measurable academic impact and innovation across interdisciplinary scientific domains.[2]

Abstract

Anant Kurhade has developed a recognized academic profile within the field of engineering through scholarly publications, citation influence, and participation in scientific research activities. With a Scopus-indexed publication record comprising 91 documents and an h-index of 27, the researcher has contributed to the dissemination of engineering knowledge and interdisciplinary innovation.[1] The Excellence in Research Award reflects recognition of research consistency, scientific communication, and contribution to academic advancement in engineering and related technological domains.[3]

Keywords

  • Engineering Research
  • Scientific Publications
  • Research Excellence
  • Citation Impact
  • Academic Recognition
  • Scopus Indexed Research
  • Innovation in Engineering

Introduction

Academic recognition awards are intended to acknowledge sustained contributions to research, publication quality, and scholarly impact within scientific disciplines. In engineering research, measurable indicators such as publication count, citation performance, collaborative projects, and indexing within major academic databases are commonly used to evaluate scholarly influence.[4] Anant Kurhade’s academic portfolio demonstrates notable engagement with engineering scholarship and scientific dissemination through peer-reviewed contributions and international visibility.

The Excellence in Research Award serves as an acknowledgment of academic dedication, methodological rigor, and participation in the advancement of engineering knowledge. Such recognition is often associated with researchers whose work contributes to scientific communication, applied research, and interdisciplinary collaboration.[2]

Research Profile

Anant Kurhade is affiliated with Savitribai Phule Pune University, a recognized academic institution in India known for contributions to science, engineering, and technology education. The researcher’s Scopus-indexed academic profile demonstrates a substantial publication record and citation performance within engineering-related fields.[1]

  • Total Scopus-indexed documents: 91
  • Total citations: 1762
  • h-index: 27
  • Primary discipline: Engineering
  • Research visibility through international indexing databases

The citation metrics associated with the researcher indicate scholarly engagement from the broader scientific community, suggesting that the published works have contributed to ongoing academic discussions and technical developments.[3]

Research Contributions

The research contributions associated with Anant Kurhade encompass engineering methodologies, scientific experimentation, and interdisciplinary technical applications. Through peer-reviewed publications and collaborative investigations, the researcher has contributed to areas emphasizing analytical modeling, innovation, and engineering optimization.[3]

Engineering research frequently requires integration of theoretical understanding with practical implementation. The scholarly record associated with this profile reflects continued participation in technical investigations and scientific communication through indexed journals and conference proceedings.[4]

  • Peer-reviewed engineering publications
  • Collaborative interdisciplinary research
  • Contribution to scientific communication and technical dissemination
  • Academic participation in international research visibility platforms

Publications

The publication record indexed under the Scopus author profile demonstrates sustained academic productivity in engineering research. The body of work includes journal articles, conference papers, and collaborative scientific studies contributing to technical advancement and scholarly exchange.[1]

  1. Engineering research publications indexed in Scopus and related scientific databases.
  2. Collaborative investigations involving applied engineering methodologies and technological innovation.
  3. Research outputs contributing to citation growth and scholarly recognition within engineering disciplines.

Representative DOI-linked engineering literature demonstrates the importance of indexed scholarly communication in evaluating scientific impact and research visibility.[4]

Research Impact

Research impact within engineering disciplines is commonly assessed using citation metrics, publication quality, and academic influence across scientific communities. Anant Kurhade’s citation record and h-index indicate sustained scholarly engagement and visibility among researchers working in related technical fields.[2]

The measurable citation performance associated with the researcher demonstrates that the published studies have contributed to scientific referencing patterns and broader engineering discussions. Academic impact metrics such as the h-index are frequently used to evaluate consistency in research quality and influence over time.[4]

Award Suitability

The academic profile of Anant Kurhade aligns with the criteria commonly associated with research excellence awards, including scholarly productivity, citation influence, and participation in internationally indexed scientific research.[2] The documented publication history and measurable research impact support recognition within the framework of the International Research Awards.

  • Consistent publication activity in engineering research
  • Demonstrated citation impact and scholarly visibility
  • Contribution to scientific communication and technical advancement
  • Recognition through indexed academic achievements

Conclusion

The Excellence in Research Award article highlights the academic and scientific contributions of Anant Kurhade within the engineering research community. Through a substantial publication record, notable citation metrics, and international indexing visibility, the researcher demonstrates sustained participation in scientific advancement and scholarly dissemination.[1] Recognition through the International Research Awards reflects the broader significance of measurable academic impact and ongoing engineering research contributions.

References

    1. Elsevier. (n.d.). Scopus author details: Anant Kurhade, Author ID 57223995393. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57223995393
    2. International Research Awards. (n.d.). Research excellence recognition and academic award platform.https://researchawards.net/
    3. ORCID. (n.d.). ORCID profile of Anant Kurhade.https://orcid.org/0000-0003-3798-9804
    4. Applied Chemical Engineering. (2026). AI Models for Life-Cycle Assessment of Bio-Energy Technologies and Pollution Quantification, 102(46), 16569–16572.https://ace.as-pub.com/index.php/ACE/article/view/5855

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+

Kirill Poletkin | Engineering | Best Research Article Award

Prof. Kirill Poletkin | Engineering | Best Research Article Award

Hefei University of Technology | China

Professor Kirill V. Poletkin is a distinguished researcher and academic specializing in micro- and nano-scale electromechanical systems, contactless levitation micro-actuators, MEMS inertial sensors, and precision instrumentation. He currently serves as a Professor (Talents Programme) at the School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, China. Prof. Poletkin earned his Ph.D. in Control Systems, Informatics, and Electrical Engineering from the Moscow Aviation Institute in 2007, where his doctoral research focused on closed-loop rotor vibratory gyroscopes. He obtained his M.Eng. with honors from Nizhny Novgorod State Technical University, with award-winning research in vibration theory and dynamically tuned gyroscopes recognized by the Ministry of Education and Science of the Russian Federation. With over two decades of international research experience, he has held academic and research positions at leading institutions including the Karlsruhe Institute of Technology, University of Freiburg, Nanyang Technological University, Innopolis University, and New Uzbekistan University. He is a former Alexander von Humboldt Research Fellow and has served as Principal Investigator on multiple competitively funded projects supported by the German Research Foundation (DFG) and Chinese provincial agencies. Prof. Poletkin has authored over 86 scientific publications, including 37 peer-reviewed journal articles, book chapters, and a Springer monograph titled Levitation Micro-Systems: Applications to Sensors and Actuators. His pioneering contributions to zero–spring-constant contactless suspensions, hybrid inductive–electrostatic levitation systems, and semi-analytical electromagnetic modeling have enabled new generations of high-precision sensors, actuators, and micro-transport technologies.

Citation Metrics (Scopus)

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Citations
547

Documents
59

h-index
15

Citations

h-index

i10-index

View Scopus Profile

Featured Publications

Tinggui Chen | Engineering | Research Excellence Award

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

Size Ai | Engineering | Research Excellence Award

Mr. Size Ai | Engineering | Research Excellence Award 

Harbin Institute of Technology | China

Dr. Size Ai, currently a PhD researcher at the Harbin Institute of Technology, is an emerging scholar in the field of mechanical metamaterials and advanced structural design. Holding a PhD in Mechanics from Harbin Institute of Technology, Dr. Ai has developed strong expertise in the design, modeling, and steady-state analysis of mechanical metamaterials, focusing particularly on negative stiffness structures, multi-stable metastructures, and pneumatic actuators with tunable mechanical responses. His academic journey reflects a commitment to high-quality research, having published three SCI-indexed papers in top-tier JCR Q1 journals such as Thin-Walled Structures and Engineering Structures. His works include: “Analysis of Negative Stiffness Structures with B-spline Curved Beams” (Thin-Walled Structures, 2024), “Design and Analysis of an Origami-Embedded Multi-Stable Metastructure with Shape Reconfiguration” (Engineering Structures, 2025), and “Deep Learning-Based Structural Design and Mechanical Properties Analysis of Pneumatic Actuators with Tunable Multistability” (Thin-Walled Structures, 2025). These publications highlight Dr. Ai’s ability to integrate theoretical modeling, simulation optimization, deep learning techniques, and experimental validation to solve complex challenges in structural mechanics. He has contributed significantly to ongoing national research through his involvement in the National Natural Science Foundation of China project (Grant No. 12372041), which further demonstrates his active engagement in advancing scientific knowledge. One of Dr. Ai’s major contributions includes developing a configuration parameterization method based on B-spline curves to customize negative stiffness characteristics in metamaterials. Additionally, he proposed a steady-state switching strategy using reconfigurable energy barrier elements, enabling precise control over multi-stability and shape transformation in engineered structures. His work successfully demonstrates, through combined theory, simulations, and experiments, the feasibility of programmable mechanical behavior after forming—an advancement with promising applications in soft robotics, adaptive structures, vibration isolation, and smart materials. Dr. Ai’s research continues to attract academic attention, with citations indexed in the Web of Science database. He maintains a strong ethical commitment to research integrity, with no consultancy projects, patents, or books yet undertaken. While he currently holds no editorial appointments, professional memberships, or formal collaborations, his research trajectory shows excellence, independence, and innovation, positioning him as a competitive candidate for the Research Excellence Award. Dr. Ai affirms that all submitted information is accurate, verifiable, and supported by relevant research links, including: 10.1016/j.tws.2025.114287 and 10.1016/j.tws.2023.111418. He fully agrees to the terms, policies, and responsibilities associated with this award nomination and submits this application with the highest level of integrity.

Profile: Scopus

Featured Publications

Ai, S., Xie, Z., & Wei, J. (2025, November). Deep learning-based structural design and mechanical properties analysis of pneumatic actuators with tunable multistability.

Ai, S., Hou, S., Wei, J., & Xie, Z. (2025, October). Design and analysis of an origami-embedded multi-stable metastructure with shape reconfiguration.

Hou, S., Wei, J., Ai, S., & Tan, H. F. (2025, March). Broadband nonlinear vibration isolation for a friction dynamic system via quasi-zero stiffness isolator.

Bian, S., Ai, S., Wei, J., & Qingxiang, J. (2025, March). Structural design and performance analysis of large inflatable solar membrane reflector.

Ai, S., Wei, J., Xie, Z., & Tan, H. F. (2023, November). Analysis of negative stiffness structures with B-spline curved beams.

Tiezhen Ren | Advanced Materials Engineering | Research Excellence Award

Prof. Tiezhen Ren | Advanced Materials Engineering | Research Excellence Award

Xinjiang university | China

Prof. Dr. Tie-Zhen Ren is a distinguished Professor at the School of Chemical Engineering, Xinjiang University, China. She obtained her Ph.D. in Inorganic Materials Chemistry from the University of Namur (FUNDP), Belgium, where she completed a thesis on hierarchically nanoporous functional materials under the supervision of Prof. Bao-Lian Su. Prior to her doctorate, she studied Polymer Engineering at Tianjin Institute of Technology and later pursued graduate studies in Plant Protection at Anhui Agricultural University. Her academic career includes serving as a Professor at Hebei University of Technology (2007–2021), conducting postdoctoral research at Stockholm University in Sweden, and working as a visiting researcher at the City College of New York. Prof. Ren’s research focuses on the synthesis and characterization of nanostructured materials, mesoporous silica and metal oxide systems, photocatalysis, environmental materials, crystalline porous germanium oxides, catalyst development, and biomass-derived functional materials. She has extensive experience with advanced characterization techniques such as TEM, SEM-EDX, XRD, FT-IR, and electrochemical systems, and actively teaches courses such as General Chemistry, Chemical Engineering Principles, Catalysis, and Technical English. Prof. Ren has been the recipient of numerous prestigious honors, including the China National Scholarship for Outstanding Self-Financed Students Abroad, the Tianchi Talent Leader Award, and the Tianjin Natural Science Award. She has led multiple national and international research projects funded by the National Natural Science Foundation of China, Ministry of Education, and Xinjiang Autonomous Region, focusing on photocatalysis, nanocatalyst design, biomass valorization, and environmental remediation. She has authored and co-authored more than 80 peer-reviewed scientific publications across high-impact journals and continues to contribute to research in sustainable chemistry, catalysis, and materials science. She is fluent in English and Chinese and has basic proficiency in French.

Profiles: Scopus | Orcid

Featured Publications

Huang, S., Zhang, H., Zhang, T., Li, C., Ren, T., & He, Z. (2025). High‐efficiency exfoliation of atomically‐thin non‐Van der Waals quasicrystal nanosheets with enhanced electrocatalytic oxygen evolution reaction performance. Small Methods. https://doi.org/10.1002/smtd.202501162


Song, Z.-H., Muhammad, I., Ren, T.-Z., Abulizi, A., Okitsu, K., Li, H.-R., & Zhang, X.-J. (2025, March 27). Preparation of Al₂O₃ nanoparticles via fluidized roasting and their application in the pyrolysis of spent mulching film for hydrocarbon production. ACS Sustainable Resource Management. https://doi.org/10.1021/acssusresmgt.4c00436


Han, J., Sun, L., Ulbricht, M., Fischer, L., Zhang, G., Gao, W., Lv, L., Ren, T., Liu, X., & Ren, Z. (2025). Sulfite enhanced permanganate/Fe(II) moderate oxidation coagulation for the treatment of algae-laden water: Performance and mechanisms. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2024.159084


Fu, H., Bai, H., Abulizi, A., Okitsu, K., Maeda, Y., Ren, T., & Wang, S. (2024). Surfactant-enhanced ZnOₓ/CaO catalytic activity for ultrasound-assisted biodiesel production from waste cooking oil. Reaction Chemistry & Engineering. https://doi.org/10.1039/D3RE00306J


Cui, M.-J., Li, S.-S., Ren, T., Abulizi, A., & Nulahong, A.-S. (2024). Boosting BaTi₄O₉ photocatalytic H₂ evolution activity by functionalized CuNi alloy. Journal of Photochemistry and Photobiology A: Chemistry. https://doi.org/10.1016/j.jphotochem.2024.115834


Cui, M.-J., Muhammad, I., Feng, J., & Ren, T. (2024). Isopropanol assisted preparation of α–Al₂O₃ nanoparticles and its surface charge investigation. Solid State Sciences. https://doi.org/10.1016/j.solidstatesciences.2024.107706

Sedighe Mirbolouk | Engineering | Editorial Board Member

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.

Soujanya Reddy Annapareddy | Engineering | Women Researcher Award

Mrs. Soujanyareddy Annapareddy | Engineering | Women Researcher Award

TAE Power Solutions | United States

Mrs. Soujanya Reddy Annapareddy is a seasoned Firmware Automation and Software Test Engineer with over 7.5 years of professional experience in embedded systems testing, automation frameworks, and data-driven validation methodologies. Her research and professional interests lie at the intersection of firmware validation, automation engineering, and intelligent system testing, focusing on how advanced test automation techniques enhance the performance, reliability, and scalability of embedded and IoT systems. At TAE Power Solutions, she has contributed to the automation and validation of Battery Energy Storage System (BESS) control platforms, integrating hardware-in-the-loop (HIL) environments and open-source frameworks such as PyTest, pandas, and matplotlib to improve regression coverage and testing efficiency. Her work explores the application of data analytics, fault-injection methods, and CI/CD pipeline integration in firmware testing to ensure real-world performance and fault tolerance. Her prior experience at Google Inc. involved automation testing for Android devices, wearable technologies, and data center systems, where she developed automation scripts in Python, Go, and C++, applied object-oriented design principles, and leveraged tools such as Mobly, Blueberry, and Buganizer for large-scale system validation. Soujanya’s analytical research focuses on automated testing frameworks, system-level reliability modeling, and signal strength optimization in wireless and connectivity domains. Methodologically, she employs Python-based automation, statistical analysis, and cloud-integrated validation frameworks, with hands-on experience in Linux environments, GCP cloud infrastructure, and RF system automation. Her interdisciplinary expertise bridges firmware engineering, test analytics, and computer science, offering insights into how automation accelerates innovation in embedded systems. Soujanya holds a Master of Science in Computer Technology from Eastern Illinois University and a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad (JNTUH), where she graduated with distinction. Her academic projects and industrial research underscore her commitment to advancing intelligent automation, embedded testing, and data-driven system optimization in modern technology ecosystems.

Profile: Google Scholar

Featured Publications

Annapareddy, S. R. (2025). Edge AI for real-time fault detection in embedded systems. International Journal of Emerging Trends in Computer Science and Information Systems.

Annapareddy, S. R. (2024). Managing power flows and energy efficiency in embedded systems for BESS. IJAIDR – Journal of Advances in Developmental Research, 15(2), 1–5.

Annapareddy, S. R. (2024). Advanced fault detection and diagnostics in embedded control units for BESS. IJSAT – International Journal on Science and Technology, 15(4).

Annapareddy, S. R. (2024). Firmware architecture and safety standards in battery energy storage systems. International Journal of Innovative Research in Engineering.

Annapareddy, S. R. (2024). Optimizing Android device testing with automation frameworks. International Journal of Innovative Research and Creative Technology, 10(4), 1–7.

Annapareddy, S. R. (2024). Real-world applications of Python in firmware and software automation. International Journal of Innovative Research and Creative Technology, 10(2), 1–6.

Annapareddy, S. R. (2024). Advancements in firmware testing and validation techniques. ESP Journal of Engineering & Technology Advancements, 4(3).