Mohamed Arbili | Engineering | Research Excellence Award

Published on by Research Awards

Research Excellence Award

Mohamed Arbili — Erbil Polytechnic University, Iraq

Mohamed Arbili
Affiliation Erbil Polytechnic University
Country Iraq
Scopus ID 57221707646
Documents 43
Citations 1,425
h-index 21
Subject Area Engineering
Event International Research Awards
ORCID 0000-0001-6045-0255

Mohamed Arbili is an engineering researcher affiliated with Erbil Polytechnic University in Iraq. His documented scholarly profile includes 43 indexed documents, 1,425 citations, and an h-index of 21 according to the supplied Scopus profile information. His research record is presented in connection with the Research Excellence Award associated with the International Research Awards. [1]

Abstract

Mohamed Arbili is an engineering researcher affiliated with Erbil Polytechnic University, Iraq. The supplied scholarly information identifies a Scopus Author ID of 57221707646 and reports 43 indexed documents, 1,425 citations, and an h-index of 21. These bibliometric indicators provide a quantitative description of his indexed research visibility and citation record. His academic profile is associated with engineering and is presented in relation to the Research Excellence Award at the International Research Awards. The profile is additionally connected with an ORCID identifier, providing a persistent researcher identity record. The available information supports a structured academic recognition profile based on affiliation, subject area, indexed research output, citation activity, and researcher-identification information. [1] [2]

Keywords

Mohamed Arbili, Research Excellence Award, engineering research, Erbil Polytechnic University, Iraq, Scopus, ORCID, research impact, scholarly publications, citation analysis, International Research Awards. [1]

Introduction

Research recognition commonly considers documented scholarly activity, research outputs, disciplinary relevance, and evidence of academic impact. For Mohamed Arbili, the supplied profile identifies engineering as the principal subject area and Erbil Polytechnic University as the institutional affiliation. Bibliometric information from the stated Scopus record provides measurable indicators for describing his indexed research activity. [1]

Research Profile

The supplied research profile records 43 documents in Scopus, together with 1,425 citations and an h-index of 21. These figures describe indexed publication and citation activity . Bibliometric indicators can vary over time as databases add documents, citations, corrections, and author associations. [4]

Research Contributions

The available information supports describing Mohamed Arbili’s contribution at the level of documented engineering research output and scholarly visibility. The record of 43 indexed documents indicates sustained publication activity, while the reported citation count and h-index provide additional bibliometric measures of how the indexed work has been cited within the scholarly literature. [1]

Publications

The supplied data identifies 43 documents within the researcher’s Scopus record. Individual publication titles, journal information, publication years, and DOI identifiers were not supplied with the source data. Consequently, this page does not attribute specific articles or DOI records without a verifiable publication reference. The Scopus author profile provides the appropriate source for reviewing the indexed document record. [5]

Research Impact

The reported 1,425 citations and h-index of 21 provide quantitative indicators of the visibility of the researcher’s indexed scholarly output. Such measures are descriptive rather than comprehensive assessments of research quality, because citation practices differ across disciplines, publication types, databases, and periods. The figures should therefore be interpreted within their bibliometric context. [1]

Award Suitability

The supplied information connects Mohamed Arbili with the Research Excellence Award under the International Research Awards. His documented engineering affiliation, indexed research output, citation activity, and researcher identifiers provide factual elements that can be included in an academic recognition profile. Formal award eligibility and selection should be determined according to the applicable award criteria and verification process.[1]

Conclusion

Mohamed Arbili’s supplied academic record describes an engineering researcher at Erbil Polytechnic University, Iraq, with 43 Scopus-indexed documents, 1,425 citations, and an h-index of 21. His Scopus Author ID and ORCID provide identifiable scholarly records. These documented indicators form the factual basis for presenting his profile in connection with the Research Excellence Award.[5]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Arbili, Author ID 57221707646. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221707646
  2. ORCID. (n.d.). Mohamed Arbili: ORCID record 0000-0001-6045-0255. ORCID.
    https://orcid.org/0000-0001-6045-0255
  3. International Research Awards. (n.d.). International Research Awards official website.
    https://researchawards.net/
  4. Ali, T., Qureshi, M. Z., Al-Naghi, A. A. A., Arbili, M. M., Ahmed, M., Ghazouani, N., Alaneme, G. U., & Ajwad, A. (2026). Evaluating the performance of sustainable concrete made with different lengths of tyre waste steel fibers, silica fume, and rice husk ash. Journal of Natural Fibers, 23(1), 2649250.
    https://doi.org/10.1080/15440478.2026.2649250
  5. Rasheed, M. H. F., Taha, B. O., & Arbili, M. M. (2025). A design-oriented unified equation for the torsion constant of non-prismatic (linearly tapered) rectangular beams. Buildings, 15(21), 3926.
    https://doi.org/10.3390/buildings15213926

Nilaj Deshmukh | Engineering | Research Excellence Award

Published on by Research Awards

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

Published on by Research Awards

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/

Kirill Poletkin | Engineering | Best Research Article Award

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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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500
400
300
200
100
50
30
10
0

Citations
547

Documents
59

h-index
15

Citations

h-index

i10-index

View Scopus Profile

Featured Publications

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

Size Ai | Engineering | Research Excellence Award

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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.

Qingguo Ma | Chemical Engineering | Excellence in Innovation Award

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Dr. Qingguo Ma | Chemical Engineering | Excellence in Innovation Award

Taiyuan Institute of Technology | China

Dr. Qingguo Ma, an accomplished Associate Professor at the Taiyuan Institute of Technology, is a distinguished researcher specializing in advanced wastewater treatment, particularly in the catalytic degradation of formaldehyde. With a doctoral degree obtained from the School of Chemical Engineering and Technology at Nanjing University of Science and Technology, Dr. Ma has established a focused research trajectory in the development of innovative and efficient oxidation-based solutions for industrial pollutant removal. His work emphasizes the use of advanced oxidation processes employing oxidants such as hydrogen peroxide and monopersulfate in conjunction with highly efficient catalytic systems, including transition metal oxides and lanthanum-based composite metal oxide catalysts. Through this research, Dr. Ma has successfully achieved remarkable improvements in formaldehyde degradation efficiency, notably demonstrating degradation rates exceeding 90% under ambient conditions without the need for acidic, alkaline, photochemical, or electrocatalytic environments. This breakthrough shortens the oxidative degradation time by up to 12 times compared to conventional heterogeneous catalysts and provides a scalable pathway toward cost-effective and energy-efficient wastewater treatment technologies. Dr. Ma’s academic contributions are supported by a robust research profile, including five completed or ongoing research projects, eleven patents published or under application, and thirteen peer-reviewed publications indexed in SCI databases. His work has attracted growing scholarly attention, reflected in a developing citation index and engagement in two consultancy or industry-linked research initiatives. As a member of the Shanxi Provincial Society for Inspection and Testing, he actively contributes to the advancement of environmental monitoring and chemical engineering practices within the professional community. His research further explores the mechanistic pathways of formaldehyde oxidation, identifying both radical-driven and non-radical catalytic routes, which enhances scientific understanding and offers new design concepts for catalytic materials used in environmental remediation. Dr. Ma continues to expand collaborations and strengthen knowledge transfer through academic platforms, contributing meaningfully to scientific and societal progress in pollution control. With demonstrated excellence, innovation, and commitment to advancing sustainable wastewater treatment technologies, he exemplifies the qualities recognized by the Excellence in Innovation Award. Dr. Ma affirms the authenticity and accuracy of all information included in this application and acknowledges the guidelines and terms set forth for this nomination.

Profiles: Scopus | Orcid

Featured Publications

Ma, Q. (2024). Preparation of perovskite-type LaMnO₃ and its catalytic degradation of formaldehyde in wastewater. Molecules, 29(16). https://doi.org/10.3390/molecules29163822

Ma, Q. (2023). Removal of formaldehyde in water with low concentration of hydrogen peroxide catalyzed by lanthanum–silicon oxide composite. Desalination and Water Treatment, 29734. https://doi.org/10.5004/dwt.2023.29734

Ma, Q. (2023). The Baeyer–Villiger oxidation of cycloketones using hydrogen peroxide as an oxidant. Catalysts, 13(1). https://doi.org/10.3390/catal13010021

Ma, Q. (2022). Removal of formaldehyde from aqueous solution by hydrogen peroxide. Journal of Water Chemistry and Technology, 44(4). https://doi.org/10.3103/S1063455X22040099

Ma, Q. (2021). Enhancing propene selectivity in methanol and/or butene conversion by regulating channel systems over ZSM-5/ZSM-48 composite zeolites. Microporous and Mesoporous Materials, 310. https://doi.org/10.1016/j.micromeso.2020.110803

Ma, Q. (2015). Baeyer–Villiger oxidation of cyclic ketones with hydrogen peroxide catalyzed by silica–VTMO–OSO₃H. Journal of Porous Materials, 22(5). https://doi.org/10.1007/s10934-015-9918-8

Ma, Q. (2015). Silica/A153-SO₃H: An efficient catalyst for the Baeyer–Villiger oxidation of cyclic ketones with hydrogen peroxide. Comptes Rendus Chimie, 18(4). https://doi.org/10.1016/j.crci.2014.09.002

Ma, Q. (2015). Sn-bentonite-induced Baeyer–Villiger oxidation of 2-heptylcyclopentanone to δ-dodecalactone with aqueous hydrogen peroxide. Research on Chemical Intermediates, 41(5). https://doi.org/10.1007/s11164-013-1342-6

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.

Dayeong An | Engineering | Women Researcher Award | 13446

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Dr. Dayeong An | Engineering | Women Researcher Award

Dr. Dayeong An, Medical College of Wisconsin, United States

Dr. Dana (Dayeong) An is a Postdoctoral Fellow in the Department of Radiology at Northwestern University with a strong interdisciplinary background in biomedical engineering, computational sciences, and statistics. Her research focuses on machine learning and probabilistic modeling for multimodal biomedical data integration, particularly in neurovascular and cardiac imaging. She has developed advanced AI frameworks for stroke outcome prediction, perfusion analysis, and cardiac strain estimation. With multiple peer-reviewed publications and awards, Dr. An brings expertise in deep learning, medical image processing, and translational AI for precision medicine.

Profile

ORCID

🎓 Early Academic Pursuits

Dr. Dana (Dayeong) An’s academic journey is rooted in a solid foundation of mathematics, statistics, and computational sciences. She began her higher education at Minnesota State University, earning a B.S. in Mathematics with a minor in Economics in 2012. Her strong mathematical background laid the groundwork for advanced study, leading her to pursue dual M.S. degrees in Mathematics and Statistics (2014) and Computational Sciences (2018). These degrees reflect a growing interest in data analysis, modeling, and algorithmic thinking—skills that would become central to her future research. Her academic path culminated in a Ph.D. in Biomedical Engineering from the Medical College of Wisconsin in 2024. During her doctoral training, Dr. An fused her analytical skills with biomedical applications, working at the intersection of medical imaging and machine learning. Her education reflects a rare combination of quantitative rigor and domain-specific insight, enabling her to tackle complex problems in healthcare and precision medicine.

🧠 Professional Endeavors

Dr. An currently serves as a Postdoctoral Fellow in the Department of Radiology at Northwestern University, where she applies advanced machine learning techniques to neurovascular and cardiac imaging data. Her professional roles have spanned research, teaching, and clinical applications. At the Medical College of Wisconsin, she worked as a Research Assistant, refining deep learning algorithms for myocardial strain analysis, MRI-based diagnostics, and experimental studies on cardiotoxicity in animal models. Earlier in her career, she served as an Adjunct Professor and Teaching Assistant at multiple institutions, including Marquette University, Globe University, and South Central College, where she taught a variety of math and statistics courses. This teaching experience showcases her commitment to education and her ability to communicate complex topics to diverse audiences.

🧪 Contributions and Research Focus

Dr. An’s research is centered on machine learning and probabilistic modeling for multimodal biomedical data integration. Her contributions span multiple domains:

  • Neurovascular Imaging: She has developed frameworks using Bayesian priors and transformer models to estimate physiological parameters from perfusion MRI data. She also works with large-scale databases such as NVQI-QOD to predict stroke outcomes and recurrence risks in intracranial atherosclerotic disease (ICAD).

  • Cardiac MRI and Strain Analysis: Dr. An fine-tuned U-Net and GAN architectures to automate strain generation and displacement field analysis from cine MRI images. These tools enhance early detection of cardiotoxicity and improve diagnostic accuracy.

  • Image Processing and Simulation: She built deep learning-based deformable registration tools to reduce motion artifacts in angiography and improve vascular fidelity. Additionally, she contributed to differentiable projection modeling for fluoroscopic pose estimation.

  • Translational AI: Her work aims to bridge the gap between algorithm development and clinical implementation, with models designed for real-time, patient-specific analysis.

Her research is not only technical but also translational, addressing real-world challenges in healthcare delivery and diagnostics.

🏆 Accolades and Recognition

Dr. An has received numerous honors for her research excellence and academic contributions:

  • Poster Competition Winner at Marquette University and the Medical College of Wisconsin.

  • Scholarship and Travel Grants from prestigious societies such as the Global Cardio Oncology Summit, ISMRM, and Marquette University.

  • Kayoko Ishizuka Award and Graduate Student Association Awards at MCW.

  • Recognition for conference presentations at RSNA, ISMRM, SCMR, and ASNR.

Her work has been published in well-regarded journals including Radiology and Oncology, Journal of Imaging Informatics in Medicine, and Tomography, reflecting her influence across multiple disciplines.

🌍 Impact and Influence

Dr. An’s interdisciplinary expertise positions her as a valuable contributor to both the academic and clinical communities. Her collaborations with leading institutions such as Cleveland Clinic and Purdue University demonstrate the broader impact of her research. Whether improving stroke outcome prediction or refining cardiac diagnostics, her contributions are making real-world differences in how clinicians approach patient care. She is also actively involved in professional societies like RSNA, ISMRM, IEEE, and the American Statistical Association, fostering knowledge exchange and staying at the forefront of innovation.

🌱 Legacy and Future Contributions

Looking ahead, Dr. An aspires to expand her impact by continuing to develop explainable, reliable, and patient-specific AI tools for medical imaging. Her future work will likely delve deeper into probabilistic deep learning, longitudinal outcome modeling, and integrated diagnostics using multi-modal data sources such as imaging, genomics, and electronic health records. She is poised to be a leader in translational AI, driving innovations that not only push the boundaries of computational medicine but also enhance patient outcomes and healthcare efficiency.

🔗 Final Thoughts

Dr. Dana (Dayeong) An exemplifies a new generation of biomedical engineers—fluent in mathematics, passionate about clinical impact, and committed to advancing the future of precision medicine through data-driven innovation. Her legacy is being built at the nexus of technology, healthcare, and humanity.

📄 Publication Top Notes

Radiation-Induced Cardiotoxicity in Hypertensive Salt-Sensitive Rats: A Feasibility Study

Author: Dayeong An; Alison Kriegel; Suresh Kumar; Heather Himburg; Brian Fish; Slade Klawikowski; Daniel Rowe; Marek Lenarczyk; John Baker; El-Sayed Ibrahim

Journal: Life

Year: 2025

Elucidating Early Radiation-Induced Cardiotoxicity Markers in Preclinical Genetic Models Through Advanced Machine Learning and Cardiac MRI

Author: Dayeong An; El-Sayed Ibrahim

Journal: Journal of Imaging

Year: 2024

Jun Liu | Engineering | Best Researcher Award | 13444

Published on by Research Awards

Assoc. Prof. Dr. Jun Liu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Jun Liu, North China University of Water Resources and Electric Power, China

Assoc. Prof. Dr. Jun Liu is an Assistant Professor and Master’s Supervisor in the Department of Thermal Engineering at North China University of Water Resources and Electric Power. He holds a Ph.D. in Engineering Thermophysics from Zhejiang University and specializes in CO₂ capture and utilization, solid waste treatment, multiphase flow and combustion simulation, and pollutant removal technologies. Dr. Liu has led multiple provincial-level research projects and published extensively in SCI and EI-indexed journals. His teaching focuses on boiler principles, operations, and clean combustion technologies.

Profile

Scopus

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Jun Liu began his academic journey with a solid foundation in engineering and technology. In 2005, he enrolled at Shanxi University, where he pursued a Bachelor’s degree in Automation under the Department of Information Engineering. This initial exposure to systems control and engineering principles cultivated his interest in energy systems and laid the groundwork for his future endeavors in thermal engineering and environmental research. In 2009, he took a decisive step toward specializing in energy technologies by pursuing a Master’s degree in Fluid Machinery and Engineering at the School of Electric Power, North China University of Water Resources and Electric Power. Here, he honed his understanding of energy conversion systems, power plant operations, and machinery critical to thermal power generation. His passion for research and academic excellence led him to earn a Ph.D. in Engineering Thermophysics at the prestigious Zhejiang University from 2012 to 2016. This phase of his education sharpened his expertise in combustion processes, thermodynamic systems, and pollutant control, which later became key pillars of his professional and research identity.

💼 Professional Endeavors

Following the completion of his doctorate, Dr. Liu began his professional career at the Xi’an Thermal Power Research Institute Co., Ltd., Suzhou Branch in 2016. In this applied research environment, he gained hands-on experience in industrial-scale power systems and thermal processes, translating academic knowledge into practical solutions. In April 2019, Dr. Liu returned to academia, joining the College of Energy and Power Engineering at the North China University of Water Resources and Electric Power as an Assistant Professor and Master’s Supervisor. His return marked a blend of academic vigor and industrial insight, enriching the university’s teaching and research capabilities.

🔬 Contributions and Research Focus

Dr. Liu’s research spans several crucial areas within energy and environmental engineering:

  1. CO₂ Capture and Resource Utilization – He leads studies on innovative adsorbent materials and absorption technologies aimed at mitigating greenhouse gas emissions.

  2. Solid Waste Treatment – His work on incinerator systems and waste-to-energy solutions contributes to sustainable waste management practices.

  3. Multiphase Flow and Combustion Simulation – By modeling combustion processes, he aims to optimize energy efficiency and reduce emissions.

  4. Pollutant Removal – His research explores integrated technologies for removing NOx, SOx, and other harmful emissions from combustion systems.

He has presided over several key provincial research projects, including studies on CO₂ adsorption kinetics, microencapsulated absorbents, and waste heat boiler performance. His work reflects a deep commitment

🏅 Accolades and Recognition

to both scientific innovation and environmental sustainability.

Dr. Liu’s contributions have been recognized with several prestigious awards:

  • 🥇 First Prize, Boiler Science and Technology Award (2023), for his contributions to power generation technology for large mechanical grates.

  • 🥈 Second Prize, Henan Provincial Science and Technology Progress Award (2022), for his role in developing low-temperature waste heat recovery systems.

  • 🏆 First Prize, Excellent Scientific and Technological Paper Award by the Henan Province Office of Education (2021).

These accolades underscore his impactful research and its relevance to both academia and industry.

🌍 Impact and Influence

Dr. Liu has authored multiple peer-reviewed papers in SCI and EI indexed journals, reflecting the scientific merit and practical application of his research. His publication in Waste Management on flue gas recirculation and NOx emission control is especially noteworthy in the context of sustainable waste-to-energy practices. Moreover, his work influences not only fellow researchers but also policymakers and industry professionals seeking advanced environmental solutions. As a committed educator, he imparts knowledge through courses like Boiler Principle, Boiler Operation, and Clean Combustion and Pollutant Control. His teaching integrates the latest research findings, ensuring that students are prepared for real-world energy challenges.

🌱 Legacy and Future Contributions

Looking ahead, Dr. Liu is poised to continue making substantial contributions to the fields of clean energy and environmental protection. His interdisciplinary approach, combining engineering thermophysics, environmental science, and applied technology, equips him to tackle emerging challenges such as carbon neutrality, smart power systems, and circular economy strategies for waste management. He is also likely to mentor the next generation of researchers, fostering innovation through student supervision, collaborative projects, and academic outreach. As climate concerns and energy demands rise globally, Dr. Liu’s expertise will remain critical in shaping sustainable technological pathways for the future.

📄 Publication Top Notes

Research Progress on the Occurrence Characteristics of AAEM Elements in Zhundong Coal

Author: W., Wang, Wei, X., Guo, Xinwei, X., Wu, Xiaojiang, … C., Fan, Cunjiang, L., Zhuo, Lanting

Journal: Dongli Gongcheng Xuebao /Journal of Chinese Society of Power Engineering

Year: 2025

The effect of air distribution on the characteristics of waste combustion and NO generation in a grate incinerator

Author:  J., Liu, Jun, Z., Xie, Zheng, B., Guo, Bingyu, … L., Bai, Li, J., Long, Jisheng

Journal: Journal of the Energy Institute .,

Year: 2024