Pin-Yung Chen | Engineering | Innovative Research Award

Innovative Research Award

Pin-Yung Chen
National Pingtung University of Science and Technology, Taiwan

Pin-Yung Chen
Affiliation National Pingtung University of Science and Technology
Country Taiwan
Subject Area Engineering
Event Global Scholar Awards
ORCID 0009-0002-9156-8699

Pin-Yung Chen is an engineering researcher whose documented scholarly work encompasses intelligent vehicles, autonomous control, electric-vehicle technologies, motor control, and intelligent transportation systems. Publicly available research records associate Chen with National Pingtung University of Science and Technology and describe research involving intelligent, adaptive, and robust control applications. [1] Recent publications further identify Chen with research on autonomous-vehicle deployment, LiDAR-based navigation, and automated road-marking assessment. [2]

Abstract

Pin-Yung Chen is an engineering researcher associated with National Pingtung University of Science and Technology whose published work spans intelligent vehicles, autonomous control, electric mobility, motor control, and transportation technologies. His research record includes studies of intelligent route guidance, robust control for permanent magnet synchronous motors, plug-in hybrid electric vehicle generator systems, and autonomous-vehicle deployment. More recent work addresses LiDAR and IMU integration, regulatory considerations, and automated road-marking assessment. These publications collectively indicate an interdisciplinary research profile connecting control engineering, vehicle systems, sensing technologies, and intelligent transportation, with applications oriented toward mobility, automation, safety, and engineering innovation. [1] [2]

Keywords

Autonomous vehicles; intelligent transportation systems; autonomous control; robust control; intelligent vehicles; LiDAR; IMU; permanent magnet synchronous motors; electric vehicles; plug-in hybrid electric vehicles; road safety; vehicle sensing; smart mobility; engineering innovation.

Introduction

Pin-Yung Chen has developed a research portfolio situated at the intersection of mechanical engineering, control systems, vehicle technologies, and intelligent transportation. Earlier publications examined route guidance, motor-control strategies, and hybrid-electric powertrain technologies, while later work has addressed autonomous vehicles, sensing, and mobility governance. [1] [3]

Research Profile

Pin-Yung Chen’s research profile combines intelligent vehicle development with control engineering and applied transportation research. Biographical records describe experience in intelligent, adaptive, and robust control, while recent academic affiliations identify Chen with vehicle engineering at National Pingtung University of Science and Technology. This progression connects foundational control methods with contemporary autonomous mobility applications and sensing systems. [1] [4]

Research Contributions

Pin-Yung Chen has contributed to studies involving real-time fleet route guidance, robust current control, self-tuning proportional-integral control, plug-in hybrid vehicle generator systems, and electric-vehicle power conversion. Later contributions extend toward autonomous navigation, operational design domains, road safety, and machine-vision-supported infrastructure assessment, demonstrating continuity between control theory and vehicle-system applications. [2] [3]

Publications

Pin-Yung Chen appears as an author on publications concerning intelligent fleet route guidance, permanent magnet synchronous motor control, plug-in hybrid electric vehicle generator technology, and electric-vehicle power conversion. More recent records include autonomous-vehicle deployment in Taiwan, LiDAR and IMU integration for navigation, and automated road-marking wear assessment using multimodal sensing and semantic segmentation. [1] [2] [3] [5]

Research Impact

Pin-Yung Chen’s documented research has practical relevance to transportation automation, vehicle control, electric mobility, and intelligent infrastructure. The work spans experimental control implementation, vehicle sensing, autonomous-navigation technologies, and policy-oriented analysis of autonomous-vehicle deployment. Such breadth provides a basis for examining engineering innovation across both component-level systems and broader mobility environments. [1] [2]

Award Suitability

Pin-Yung Chen’s documented publication record provides evidence of sustained engagement with engineering problems involving control, intelligent vehicles, electric mobility, sensing, and autonomous transportation. The range of subjects represented in the cited literature can be considered relevant to an award category emphasizing research innovation, particularly where innovation is understood through documented methods, applications, interdisciplinary integration, and published technical contributions. [1] [4]

Conclusion

Pin-Yung Chen’s scholarly record reflects an engineering research trajectory spanning control theory, electric vehicles, intelligent transportation, autonomous systems, and vehicle sensing. Available publications document both foundational engineering investigations and contemporary mobility applications. Taken together, these sources provide a factual basis for describing Chen’s research as interdisciplinary and application-oriented within engineering and intelligent vehicle technologies. [1] [2]

References

  1. Chen, P.-Y., et al. (2010). An intelligent on-line route guide system in a fleet. 13th International IEEE Conference on Intelligent Transportation Systems.
    https://doi.org/10.1109/ITSC.2010.5625089
  2. Chen, P.-Y., et al. (2025). Autonomous Vehicle Deployment in Taiwan: A Post-Sandbox Assessment of ODDs, Regulations and Smart Mobility Integration. SSRN. https://doi.org/10.2139/ssrn.5187634
  3. Chang, S.-H., Chen, P.-Y., Ting, Y.-H., and Hung, S.-W. (2010). Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems. IET Electric Power Applications, 4(6), 441–450. https://doi.org/10.1049/iet-epa.2009.0146
  4. Chen, P.-Y. (2017). Research biography and technical background in intelligent, adaptive, and robust control applications. Biographical information published in the EVS24 proceedings. Proceedings source
  5. Chen, P.-Y., et al. (2026). Automated Road Marking Wear Assessment via Multimodal Fusion of LiDAR Intensity and YOLOv11 Semantic Segmentation. Sensors, 26(17), 5549. https://doi.org/10.3390/s26175549

Zemin Wang | Engineering | Best Researcher Award

Best Researcher Award

Zemin Wang — Beijing Jiaotong University, China

Zemin Wang
Affiliation Beijing Jiaotong University
Country China
Scopus ID 58763839400
Documents 10
Citations 7
h-index 2
Subject Area Engineering
Event Global Scholar Awards

Zemin Wang is an engineering researcher affiliated with Beijing Jiaotong University, China, whose indexed research record includes work connected with electrical engineering, transmission systems, electromagnetic characteristics, and engineering analysis. Available bibliographic evidence also identifies Wang as a co-author of research concerning flexible direct-current transmission-line short-circuit calculations and distributed-parameter effects. [1] [2] The profile presented here summarizes the supplied bibliometric information and publicly identifiable publication evidence without extending beyond documented research information.

Abstract

Zemin Wang is an engineering researcher affiliated with Beijing Jiaotong University, China. His indexed record comprises ten documents, seven citations, and an h-index of two, according to the supplied Scopus information. Publicly identifiable publications associate his research with electrical engineering, electromagnetic analysis, cable interference, flexible direct-current transmission, and short-circuit current calculation. Recent collaborative work examines distributed parameters in long-distance flexible DC transmission lines and their influence on fault-current calculations. These studies demonstrate engagement with engineering problems involving power systems, transmission behavior, mathematical modeling, and system reliability. The profile provides a factual academic overview for recognition consideration within the Global Scholar Awards framework.

Keywords

Flexible direct-current transmission, short-circuit current calculation, transmission lines, distributed parameters, electrical engineering, electromagnetic characteristics, cable crosstalk, electromagnetic topology, power systems, mathematical modeling, fault analysis, transmission-system reliability, engineering simulation, electrical networks, system analysis.

Introduction

Zemin Wang’s documented research profile is situated within engineering, with identifiable work addressing electrical and transmission-system problems. One publication examines short-circuit current calculation in flexible direct-current transmission lines while considering distributed line parameters, a topic relevant to accurate fault analysis in long-distance transmission systems. [2] Another indexed record connects Wang with research on electromagnetic topology and anti-interference analysis, indicating broader engagement with electrical-system behavior and electromagnetic engineering. [3]

Research Profile

Zemin Wang’s supplied bibliometric profile records ten documents, seven citations, and an h-index of two under Scopus author identification 58763839400. His affiliation is Beijing Jiaotong University, and his stated subject area is Engineering. Available publication evidence places his work within electrical engineering themes involving transmission lines, electromagnetic behavior, flexible DC systems, and engineering calculations. [1]

Research Contributions

Zemin Wang has contributed to collaborative engineering research concerning transmission-system modeling and electromagnetic analysis. A documented 2024 study developed calculations for flexible DC transmission-line short-circuit currents while incorporating distributed parameters, addressing limitations associated with simplified line representations. [2] Earlier work also associated Wang with electromagnetic-topology approaches to anti-interference analysis, providing evidence of research across related electrical engineering problems. [3]

Publications

Zemin Wang appears as a co-author of the 2024 article “Short-Circuit Current Calculation of Flexible Direct Current Transmission Lines Considering Line Distribution Parameters,” published in Energies, volume 17, issue 15, article 3800. The article examines flexible DC transmission, distributed line parameters, and short-circuit current modeling. [2] A separate indexed publication record identifies Wang among authors of research concerning CAU anti-interference based on electromagnetic topology theory. [3]

Research Impact

Zemin Wang’s supplied Scopus metrics indicate seven citations and an h-index of two across ten indexed documents. These measures provide a quantitative description of citation activity within the supplied profile but should be interpreted in relation to publication age, field norms, collaboration patterns, and database coverage. [1] His documented research topics address practical engineering questions involving transmission modeling, fault-current analysis, and electromagnetic system behavior.

Award Suitability

Zemin Wang’s supplied research profile provides documented evidence of scholarly activity in Engineering and includes publications relevant to electrical transmission and electromagnetic analysis. The available record includes ten documents, seven citations, and an h-index of two, together with identifiable research addressing flexible DC transmission and engineering system analysis. [1] These documented characteristics can be considered alongside the Global Scholar Awards’ applicable evaluation requirements.

Conclusion

Zemin Wang is documented as an engineering researcher associated with Beijing Jiaotong University whose publications include studies of flexible DC transmission, short-circuit current calculation, distributed parameters, and electromagnetic engineering. The supplied bibliometric record reports ten documents, seven citations, and an h-index of two. [1] Together, these records provide a factual basis for presenting his academic profile within the Best Researcher Award context.

References

    1. Elsevier. (n.d.). Scopus author details: Zemin Wang, Author ID 58763839400. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=58763839400
    2. Wang, Z., Hao, L., & Wang, Z. (2024). Short-Circuit Current Calculation of Flexible Direct Current Transmission Lines Considering Line Distribution Parameters. Energies, 17(15), 3800. DOI: 10.3390/en17153800.
      https://doi.org/10.3390/en17153800
    3. Global Scholar Awards. (n.d.). Global Scholar Awards.
      https://globalscholarawards.com/

Wael Megid | Engineering | Best Researcher Award

Best Researcher Award

 TISEC- Canada
Wael Megid
Affiliation TISEC
Country Canada
Scopus ID 57194328472
Documents 10
Citations 253
h-index 8
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0001-9385-0415

Wael Megid is a civil engineering researcher associated with TISEC in Canada, with scholarly work spanning nondestructive evaluation, structural health monitoring, concrete rheology, and infrastructure assessment. His publication record includes studies on acoustic emission, guided waves, self-consolidating concrete, multilayer casting, surface quality, and engineering diagnostics for practical structural applications today. [2] [3]

Abstract

Wael Megid presents an engineering research profile centered on structural assessment, nondestructive testing, concrete materials, and infrastructure performance. His published work addresses acoustic emission monitoring, guided wave inspection, fatigue crack detection, self-consolidating concrete, rheology, multilayer casting, bond behavior, permeability, and concrete surface quality. Across these themes, his studies connect experimental methods with practical engineering evaluation for bridges, railway components, pressure vessels, tanks, and cementitious systems. The available scholarly record also reflects collaboration across academic and applied settings. With documented publications, citations, and an established h-index, his profile demonstrates sustained contributions relevant to research recognition within engineering and applied infrastructure practice. [3] [4]

Keywords

Acoustic emission, guided waves, nondestructive testing, structural health monitoring, fatigue cracks, railway tracks, self-consolidating concrete, rheology, thixotropy, structural buildup, multilayer casting, bond strength, permeability, flexural strength, workability, static yield stress, lift lines, formwork, concrete surface quality, image processing, segregation, infrastructure assessment, materials characterization, and diagnostics. [3] [4] [5]

Introduction

Wael Megid works across civil engineering domains where material behavior, structural integrity, and technologies intersect. His research includes investigations of concrete workability and thixotropy alongside nondestructive methods for detecting deterioration. This combination supports engineering decisions concerning construction quality, infrastructure monitoring, maintenance planning, and interpretation of structural performance under service conditions. [3] [4]

Research Profile

Wael Megid has a publication profile combining engineering research, applied inspection, and materials characterization. Public records identify doctoral training in civil engineering and professional activity in nondestructive testing. His work links laboratory investigation with field assessment, while Scopus metrics supplied report ten documents, 253 citations, and an h-index of eight. [1] [2]

Research Contributions

Wael Megid has contributed to research on acoustic emission, guided ultrasonic waves, self-consolidating concrete, and structural buildup at rest. His studies examine crack monitoring in steel bridge components, railway track inspection, concrete bond development, transport properties, and surface defects, connecting measurable signals and material behavior with engineering condition assessment methods. [3] [4]

Publications

Wael Megid has authored and coauthored publications addressing fatigue crack monitoring, concrete rheology, multilayer casting, bond strength, and surface quality. Representative works include studies in Engineering Fracture Mechanics, Construction and Building Materials, and ACI journals, with DOI-indexed articles on acoustic emission, self-consolidating concrete behavior, formwork effects, and structural buildup research. [3] [4] [5]

Research Impact

Wael Megid shows measurable scholarly influence through citations to work in structural monitoring, concrete technology, and nondestructive evaluation. Supplied Scopus indicators list 253 citations and an h-index of eight across ten documents. Citation activity around guided waves, acoustic emission, and concrete rheology indicates relevance for infrastructure performance and diagnostic research. [1] [3]

Award Suitability

Wael Megid aligns with Best Researcher Award considerations through peer-reviewed engineering publications, citation impact, methodological diversity, and practical relevance. His research addresses infrastructure safety, structural assessment, construction materials, and nondestructive inspection. These characteristics support evaluation through scholarly contribution, research influence, interdisciplinary application, and usefulness of engineering knowledge in applied settings. [1] [3]

Conclusion

Wael Megid represents an engineering research profile shaped by structural integrity, materials performance, and inspection science. His publications connect concrete rheology and construction behavior with acoustic and ultrasonic diagnostics. Documented citation impact, publication diversity, and applied orientation provide a basis for academic recognition within the Global Scholar Awards evaluation framework. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Wael Megid, Author ID 57194328472. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57194328472
  2. ORCID. (n.d.). Wael A. Megid: ORCID 0000-0001-9385-0415. ORCID Registry.https://orcid.org/0000-0001-9385-0415
  3. Megid, W. A., Chainey, M.-A., Lebrun, P., & Hay, D. R. (2019). Monitoring fatigue cracks on eyebars of steel bridges using acoustic emission: A case study. Engineering Fracture Mechanics, 211, 198–208.https://doi.org/10.1016/j.engfracmech.2019.02.022
  4. Megid, W. A., & Khayat, K. H. (2019). Effect of structural buildup at rest of self-consolidating concrete on mechanical and transport properties of multilayer casting. Construction and Building Materials, 196, 626–636.https://doi.org/10.1016/j.conbuildmat.2018.11.112
  5. Megid, W. A., & Khayat, K. H. (2020). Variations in surface quality of self-consolidating and highly workable concretes with formwork material. Construction and Building Materials, 238, 117638.https://doi.org/10.1016/j.conbuildmat.2019.117638

Samyar Sarraf | Engineering | Young Innovator Award

Dr. Samyar Sarraf | Engineering | Young Innovator Award

Lab Assistant | Sharif University of Technology | Iran

Dr. Samyar Sarraf is a Ph.D. graduate in Mechanical Engineering from Sharif University of Technology, with recognized expertise spanning offshore and marine engineering, civil engineering, and applied hydrodynamics. His research focuses on experimental and numerical investigation of squat submarine hydrodynamic performance and ship–submarine interactions, with multiple peer-reviewed publications in the high-impact journal Ocean Engineering. He has authored several scholarly works, accumulating 16 citations and an h-index of 2, reflecting a growing research influence. In addition to marine hydrodynamics, his interdisciplinary contributions include innovative solutions in geotechnical and earthquake engineering, such as the development of an underground earthquake isolation system and advanced dynamic soil modeling methods. His work demonstrates strong experimental rigor, numerical proficiency, and collaborative engagement with multidisciplinary research teams, offering practical societal impact in maritime safety, offshore operations, and resilient infrastructure design at an international level.

Citation Metrics (Scopus)

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12
8
4
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Citations

16

h-index

2

Citations

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View Google Scholar Profile View ORCID Profile

Featured Publications

Shunming Li | Engineering | Research Excellence Award

Mr. Shunming Li | Engineering | Research Excellence Award

Professor | Nantong Institute of Technology | China

Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published  323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.

Citation Metrics (Scopus)

4,570
3,000
2,000
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Citations

4,570

Documents

323

h-index

34

Citations

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View Scopus Profile

Featured Publications

Maysoon Hilal | Engineering | Best Researcher Award

Assist. Prof. Dr. Maysoon Hilal | Engineering | Best Researcher Award

Lecture at University of Samarra, Iraq

 

Dr. Maysoon Muhi Hilal is a dedicated academic with over 30 years of experience in architecture and urban planning. Currently an Assistant Professor at the University of Samarra, she has contributed significantly to teaching, departmental leadership, and research focused on sustainable urban design and the preservation of historical sites. Her academic credentials include a PhD in Town Planning and publications on climate-responsive architecture and urban development, with work indexed in Scopus and Google Scholar. She has supervised impactful undergraduate projects and participated in both national and international conferences. However, her recent publication output appears limited, and there is minimal evidence of interdisciplinary collaborations or major funded research projects. Despite this, her long-term commitment to architectural education and her contributions to applied research make her a strong candidate for the Best Researcher Award, particularly within an institutional or regional context focused on sustained academic service and relevant, community-based research.

Professional Profile

Education🎓

Dr. Maysoon Muhi Hilal holds a strong academic background in architecture and urban planning. She earned her Bachelor’s degree in Architecture from the University of Technology in 1992, followed by a Master’s degree in Urban Planning from the University of Baghdad in 1999. She then completed her PhD in Town Planning at the same university in 2003. Her academic journey reflects a focused progression in the field of architecture, with a specialized interest in urban and town planning. Over the years, she has held various academic positions across prominent Iraqi universities, including the University of Technology, Al-Nahrain University, University of Babylon, and University of Tikrit. Since 2008, she has held the rank of Assistant Professor, contributing extensively to both teaching and departmental development. Her education has been the foundation for her active role in architectural education, curriculum development, and guiding applied research projects that address real-world urban challenges in Iraq.

Professional Experience📝

Dr. Maysoon Muhi Hilal has amassed extensive professional experience in architecture and urban planning over more than three decades. She began her career as an engineer and has since served in various academic and administrative roles at leading Iraqi institutions. Her teaching experience spans the University of Technology, Al-Nahrain University, University of Babylon, University of Tikrit, and currently the University of Samarra, where she also served as Head of the Architecture Department. Dr. Hilal has taught a wide range of subjects, including architectural design, building construction, urban planning, and drawing, across all academic levels. In addition to her teaching, she has supervised several undergraduate projects focusing on urban development, healthcare design, and cultural heritage preservation. Her involvement in multiple national and international conferences reflects her active engagement in scholarly exchange. Dr. Hilal’s career is marked by a commitment to academic excellence, curriculum development, and mentoring the next generation of architects and planners.

Research Interest🔎

Dr. Maysoon Muhi Hilal’s research interests lie primarily in the fields of urban planning, architectural design, and sustainable development, with a strong focus on the integration of cultural heritage and environmental responsiveness in architectural solutions. Her work often explores the impact of local climate on historical architecture, sustainable urban development, and the revitalization of culturally significant sites, such as the areas surrounding the Great Mosque of Samarra and religious shrines. She is particularly interested in how aesthetic and environmental factors contribute to the identity and functionality of urban spaces. Through her research, Dr. Hilal aims to address real-world urban challenges in Iraq, balancing modernization with heritage preservation. She has published studies on traditional Baghdadi houses, Abbasid architecture, and proposed urban designs for historic areas. Her research is rooted in practical application, contributing to urban development policies and architectural education while fostering sustainable and culturally sensitive design practices in Iraq and beyond.

Award and Honor🏆

Dr. Maysoon Muhi Hilal has earned recognition for her long-standing dedication to architectural education, urban planning, and academic leadership. While specific awards and honors are not explicitly listed in the provided information, her distinguished career reflects a consistent record of professional excellence and institutional trust. Serving as Head of the Architecture Department at the University of Samarra is itself a testament to her leadership capabilities and respect within the academic community. Her participation in prestigious conferences both nationally and internationally—in Iraq, Turkey, and Egypt—demonstrates acknowledgment of her scholarly contributions on a wider stage. Additionally, her role in supervising impactful student projects and developing curricula underscores her influence in shaping future architects and planners. Her contributions to research on heritage preservation, climate-responsive design, and sustainable urban development continue to earn her professional esteem. Dr. Hilal’s career reflects a form of honor earned through sustained service, academic integrity, and dedication to her field.

Research Skill🔬

Dr. Maysoon Muhi Hilal possesses strong research skills grounded in her academic expertise in architecture, urban planning, and sustainable design. She demonstrates proficiency in identifying and addressing real-world urban issues, particularly those related to cultural heritage preservation, climate-responsive architecture, and urban development in historical contexts. Her ability to conduct thorough site analyses, evaluate architectural aesthetics, and integrate environmental considerations into design proposals showcases her analytical and critical thinking skills. Dr. Hilal effectively translates theoretical knowledge into practical urban design solutions, as seen in her published studies and student project supervision. Her familiarity with academic research platforms such as Scopus, Google Scholar, and ResearchGate indicates competence in literature review, citation standards, and scholarly communication. Additionally, her engagement with interdisciplinary themes and regional planning challenges reflects adaptability and a problem-solving mindset. These skills, combined with her experience in academic writing and conference participation, make her a capable and impactful researcher in her field.

Conclusion💡

Dr. Maysoon Muhi Hilal is a seasoned academic with a clear contribution to architectural education and urban design research in Iraq. Her long-standing dedication to teaching, administrative leadership, and applied research supervision position her as a respected and competent researcher within her field.

However, for a “Best Researcher Award”—particularly if it’s competitive or international—she may need:

  • Stronger recent publication output in indexed, peer-reviewed journals.

  • Clearer evidence of research impact (citations, funded projects, cross-border collaborations).

  • More active participation in cutting-edge or interdisciplinary research initiatives.

If the award is institutional, national, or regional, and based on cumulative academic service and applied research, she is a strong candidate. If it’s based on recent high-impact research output, she might need to bolster her profile with more current and internationally visible research.

Publications Top Noted✍

  • Title: Assessing climate strategies of major energy corporations and examining projections in relation to Paris Agreement objectives within the framework of sustainable energy
    Authors: KH Mudhee, MM Hilal, M Alyami, E Rendal, S Algburi, AZ Sameen, …
    Year: 2025
    Citations: 11

  • Title: Proposed Urban Design of the Area Surrounding the Great Samarra Mosque
    Authors: MM Hilal, MSM Al-Badri
    Year: 2021
    Citations: 1

  • Title: The role of aesthetic inputs in the sustainable Beauty of Baghdadi House
    Authors: MM Hilal
    Year: 2021
    Citations: 1

  • Title: Arabic Architectural Space and Its Impact on the Interior Design of the Dwelling: A Case Study of Alfirdus Residential Complexes in the Al-Qadisiyah Area of Tikrit
    Authors: MM Hilal, KH Mudhee
    Year: 2024
    Citations: Not listed

  • Title: Corona’s virus and its impact on urban planning for the contemporary city
    Authors: MM Hilal
    Year: 2023
    Citations: Not listed

  • Title: The impact of Iraqi climate on the design of Abbasid palaces: Case study of Al-Jaafari Palace in Samarra city
    Authors: MM Hilal, MS Mahmood, AAR Kbah
    Year: 2021
    Citations: Not listed

  • Title: THE BEAUTY ELEMENTS OF THE ABBASID PALACES IN IRAQ
    Authors: DMM Hilal
    Year: 2019
    Citations: Not listed

  • Title: التحولات في البنى العميقة للسياق الحضري لمدينة سامراء
    Author: ميسون محي هلال العقيلي
    Year: 2017
    Citations: Not listed

  • Title: Development of the Idea of Design By Class Box Approach In The Architectural Design Projects
    Author: H Abd Aljabbar (No clear co-authorship by MM Hilal mentioned)
    Citations: Not listed

Genfeng Liu | Engineering | Best Researcher Award

Dr. Genfeng Liu | Engineering | Best Researcher Award

Research Scholar at Henan University of Technology, China

Genfeng Liu is a highly qualified candidate for the Best Researcher Award, with a strong background in control science and engineering, specializing in data-driven control, adaptive control, and fault-tolerant systems. His research spans intelligent transportation, multiagent systems, and nonlinear systems, contributing to high-impact IEEE journals such as IEEE Transactions on Cybernetics (IF: 19.118) and IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255). As a reviewer for leading journals, he holds strong academic credibility. His work on model-free adaptive control and cybersecurity applications demonstrates real-world relevance. To enhance his profile, he could expand international collaborations, increase industry applications, and lead large-scale research projects. While his contributions are highly significant, further engagement in technology transfer and interdisciplinary research would strengthen his impact. Overall, his extensive publication record and research influence make him a strong contender for the award, with potential for even greater contributions in the future.

Professional Profile

Education

Genfeng Liu received his Ph.D. in Control Science and Engineering from Beijing Jiaotong University, China, in 2021. His doctoral research focused on advanced control methodologies, including data-driven control, iterative learning control, and fault-tolerant control, which have significant applications in intelligent transportation and nonlinear systems. Throughout his academic journey, he developed expertise in adaptive control and multiagent systems, contributing to cutting-edge research in automation and cybernetics. His education provided a strong foundation in both theoretical and applied control engineering, enabling him to publish in prestigious IEEE journals. Additionally, his academic background equipped him with the analytical and problem-solving skills necessary to address complex challenges in system automation and intelligent control. His commitment to continuous learning and research excellence is evident in his contributions to high-impact scientific literature and his role as a reviewer for renowned international journals, solidifying his reputation as an expert in his field.

Professional Experience

Genfeng Liu is currently a Lecturer at the College of Electrical Engineering, Henan University of Technology, Zhengzhou, China. His professional experience revolves around advanced control engineering, with a focus on data-driven control, adaptive control, and fault-tolerant systems. As a researcher, he has made significant contributions to intelligent transportation systems, multiagent systems, and nonlinear control, publishing extensively in high-impact IEEE journals. Beyond his research, he actively participates in academic peer review for prestigious journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Intelligent Vehicles, reinforcing his role as a respected scholar in the field. His expertise extends to supervising students and collaborating on interdisciplinary projects, bridging the gap between theoretical advancements and practical applications. His ongoing work in model-free adaptive control and cybersecurity-related control mechanisms further strengthens his impact in academia and industry, positioning him as a leader in modern control systems and intelligent automation research.

Research Interest

Genfeng Liu’s research interests lie in advanced control engineering, with a strong focus on data-driven control, adaptive control, and fault-tolerant control. His work explores iterative learning control and model-free adaptive control techniques, particularly in applications related to intelligent transportation systems, nonlinear systems, and multiagent systems. He is also interested in cybersecurity aspects of control systems, such as defense mechanisms against false data injection attacks. His research aims to enhance the efficiency, safety, and reliability of automation in modern transportation and industrial systems. By integrating artificial intelligence with control theory, he seeks to develop innovative solutions for complex, real-world engineering challenges. His studies have been published in top-tier journals, reflecting his commitment to advancing theoretical and applied knowledge in control science. Additionally, his expertise in intelligent transportation and system optimization continues to drive impactful contributions to the fields of automation, cybernetics, and industrial informatics.

Award and Honor

Genfeng Liu has received several accolades and recognition for his outstanding contributions to the field of control science and engineering. His research publications in prestigious IEEE journals, such as IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems, have earned him significant recognition within the academic community. As an active reviewer for renowned international journals, he has been acknowledged for his critical evaluations and contributions to the peer-review process. His innovative work in data-driven control, adaptive control, and fault-tolerant systems has positioned him as a leading researcher in intelligent transportation and nonlinear systems. Additionally, his participation in high-profile conferences and collaborations with esteemed researchers further highlight his impact in the field. While his research achievements are commendable, pursuing national and international research grants and awards would further enhance his recognition and establish him as a distinguished leader in control engineering and automation.

Research Skill

Genfeng Liu possesses strong research skills in advanced control engineering, specializing in data-driven control, adaptive control, and fault-tolerant control. He is proficient in developing and implementing iterative learning control and model-free adaptive control strategies for complex nonlinear and multiagent systems. His expertise extends to intelligent transportation systems, where he applies innovative control techniques to enhance automation and safety. He is highly skilled in mathematical modeling, algorithm development, and system optimization, enabling him to solve real-world engineering challenges effectively. His ability to conduct in-depth theoretical analysis and translate findings into practical applications is evident in his numerous high-impact publications in top-tier IEEE journals. Additionally, his experience as a reviewer for prestigious academic journals demonstrates his critical thinking and analytical skills. His research capabilities, combined with his ability to collaborate on interdisciplinary projects, make him a valuable contributor to the fields of cybernetics, automation, and industrial informatics.

Conclusion

Genfeng Liu is a highly suitable candidate for the Best Researcher Award due to his exceptional research output, high-impact publications, and contributions to control engineering and intelligent transportation systems. To further strengthen his candidacy, increasing international collaborations, practical industry applications, and leadership roles in large-scale projects would make his research even more impactful.

Publications Top Noted

  • Title: Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks
    Authors: Genfeng Liu, Jinbao Zhu, Yule Wang, Yangyang Wang
    Year: 2025
    Citation: DOI: 10.3390/sym17030471

  • Title: Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2024
    Citation: DOI: 10.1109/TNNLS.2022.3185080

  • Title: Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2022
    Citation: DOI: 10.1109/TCYB.2020.2986006

  • Title: RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TSMC.2019.2957299

  • Title: Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TITS.2020.2970000

  • Title: A Model-Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude
    Authors: Gaoyang Jiang, Genfeng Liu, Hansong Yu
    Year: 2021
    Citation: DOI: 10.3390/sym13020347

  • Title: A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
    Authors: Xian Yu, Shangtai Jin, Genfeng Liu, Ting Lei, Ye Ren
    Year: 2020
    Citation: DOI: 10.1109/ACCESS.2020.3038629

  • Title: Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors
    Authors: Ziwei Zhang, Shangtai Jin, Genfeng Liu, Zhongsheng Hou, Jianmin Zheng
    Year: 2020
    Citation: DOI: 10.3390/pr8030333

Zhenyan Xia | Engineering | New Horizons Science Invention Award

Mr. Zhenyan Xia | Engineering | New Horizons Science Invention Award

Associate Professor at Tianjin University, China

Xia Zhenyan is an Associate Professor at Tianjin University, specializing in fluid mechanics, molecular dynamics, and physical chemistry. With extensive experience in turbulent flow control, fluid flow instability, and micronano structures, he has led and contributed to 18+ research projects funded by prestigious national and industrial organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program. His innovative research on superhydrophobic surfaces has introduced novel methods to reduce droplet contact time by 37%, with applications in engineering, coatings, and energy systems. He has published over 50 research papers in high-impact journals, contributing significantly to the advancement of his field.

Professional Profile

Education

Xia Zhenyan holds advanced degrees in mechanical engineering and fluid mechanics from Tianjin University. His academic training provided a strong foundation in theoretical modeling, computational fluid dynamics (CFD), and materials science, shaping his research focus on fluid flow behavior and molecular interactions. His educational background has enabled him to bridge the gap between fundamental research and real-world applications, particularly in engineering solutions involving microfluidics, nanotechnology, and hydrophobic surface design.

Professional Experience

Currently serving as an Associate Professor at the School of Mechanical Engineering, Tianjin University, Xia Zhenyan is also the Deputy Director of the Department of Mechanics. His professional career is marked by multidisciplinary research collaborations in fluid dynamics, advanced materials, and computational modeling. As the Principal Investigator (PI) of multiple national research projects, he has played a key role in developing innovative solutions for industrial fluid mechanics challenges. His expertise extends to engineering applications for energy-efficient materials, hydrodynamics, and smart surface technology, making him a recognized leader in his field.

Research Interests

Xia Zhenyan’s research focuses on fluid mechanics, molecular dynamics, and physical chemistry, with a particular interest in turbulent flow control, fluid flow instability, and micronano-structured surfaces. His work explores the theoretical and engineering applications of molecular dynamics in fluid interactions, contributing to advancements in superhydrophobic coatings, energy-efficient materials, and microfluidics. A key aspect of his research involves developing novel techniques to reduce droplet contact time on surfaces, which has potential applications in biomedical engineering, aerospace, and industrial coatings. His interdisciplinary approach integrates computational simulations, experimental studies, and theoretical modeling, driving innovations in fluid behavior prediction, nanotechnology applications, and hydrodynamic performance enhancement.

Awards and Honors

Xia Zhenyan has been recognized for his outstanding contributions to fluid mechanics and molecular dynamics through multiple national and institutional awards. His research projects have received funding from prestigious organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program, highlighting the significance of his work. His publications in high-impact journals such as Physics of Fluids and Computational Materials Science have earned him academic recognition. As a Principal Investigator (PI) of multiple groundbreaking projects, he has been honored for excellence in scientific innovation and engineering applications. Additionally, his role as Deputy Director of the Department of Mechanics at Tianjin University reflects his leadership in advancing mechanical engineering and fluid dynamics research.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Shi, H., Xu, H., Bai, Y., Xia, Z. (2025). The effect of superhydrophobic surfaces with circular ring on the contact time of droplet impact. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Citations: 0
  • Shi, H., Hou, X., Xu, H., Bai, Y., Xia, Z. (2024). An analysis of the contact time of nanodroplets impacting superhydrophobic surfaces with square ridges. Computational Materials Science. Citations: 0
  • Tai, Y., Xu, H., Bai, Y., Wang, S., Xia, Z. (2022). Experimental investigation of the impact of viscous droplets on superamphiphobic surfaces. Physics of Fluids, 34(2), 022101. Citations: 8
  • Yan, K., Guo, X., Xia, Z. (2021). The experimental study on the characteristics of turbulent boundary layer based on the PIV technology of non-uniform interrogation window. Chinese Journal of Applied Mechanics, 38(4), pp. 1293–1300. Citations: 2
  • Tai, Y., Zhao, Y., Guo, X., Wang, S., Xia, Z. (2021). Research on the contact time of a bouncing microdroplet with lattice Boltzmann method. Physics of Fluids, 33(4), 042011. Citations: 11
  • Xia, Z., Zhao, Y., Yang, Z., Wang, S., Wang, M. (2021). The simulation of droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by laser irradiation and silanization processes. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125966. Citations: 22
  • Xia, Z., Xiao, Y., Yang, Z., Liu, X., Tian, Y. (2019). Droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by hybrid laser ablation and silanization process. Materials, 12(5), 765. Citations: 27
  • Xia, Z., Li, Z., Li, J., Tian, Y. (2016). An experimental study on breakup characteristics of impinging jets. Journal of Tianjin University Science and Technology, 49(7), pp. 770–776. Citations: 6
  • Xu, L., Xia, Z., Zhang, M., Du, Q., Bai, F. (2015). Experimental research on breakup of 2D power law liquid film. Chinese Journal of Chemical Engineering, 23(9), pp. 1429–1439. Citations: 3
  • Li, J.-J., Xia, Z.-Y., Tian, Y. (2015). Experiment on breakup mechanism of impinging jet of power-law liquid. Journal of Aerospace Power, 30(7), pp. 1752–1758. Citations: 1

Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

Prof. Dr. Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

Professeur at Department of Engineering, College of Engineering, University of Bisha, Saudi Arabia

Dr. Mohamed Kchaou is a Professor of Mechanical Engineering at the University of Bisha, Saudi Arabia, specializing in sustainability and research. He holds an impressive academic background, with an h-index of 21 and significant professional achievements, including a nomination for Full Membership in Sigma Xi, The Scientific Research Honor Society. His work has earned him recognition as one of the top 5 scientists at the University of Bisha in 2025, ranked first in Engineering & Technology. In addition to his academic roles, he contributes to international relations, scientific research, and graduate studies. He has worked in various international institutions and is recognized for his leadership in the academic and research communities, particularly in mechanical engineering, tribology, and innovation.

Professional Profile

Education 

Dr. Kchaou earned his Ph.D. in Mechanical Engineering from the Ecole Centrale of Lille (France) and the University of Sfax (Tunisia) in 2010. His thesis focused on the coupling friction oxidation effect on the wear of H13 steel, specifically for hot forging applications. He completed his Master’s degree in Mechanics and Engineering from the National School of Engineers of Sfax in 2007, where he studied performance and damage in a copper alloy under torsion fatigue. His academic journey began with a Bachelor’s in Electromechanical Engineering from the National School of Engineers of Sfax in 2006. His educational foundation laid the groundwork for his expertise in tribology, sustainability, and materials science.

Professional Experience

Dr. Kchaou holds a distinguished academic career, currently serving as a full Professor at the University of Bisha, where he also plays an integral role as a Consultant to the Deputy Vice-Chancellor for Graduate Studies and Scientific Research. His leadership in international relations and research partnerships has made significant impacts on the university. Previously, he served as the Vice-Dean at the Higher Institute of Arts and Crafts of Sfax and has been involved with several prestigious universities across Europe, including in France, Spain, and Turkey. Throughout his career, he has held various positions ranging from Assistant Professor to Associate Professor, delivering impactful courses in materials science, industrial management, and mechanical engineering at different international institutions. Dr. Kchaou’s diverse academic and administrative roles reflect his expertise and commitment to advancing engineering education and research.

Research Interests

Dr. Mohamed Kchaou’s research primarily focuses on sustainability, tribology, and the performance of materials in mechanical engineering. His work explores the friction oxidation effects on wear and tear, especially in the context of hot forging applications, aiming to improve the durability and efficiency of materials under extreme conditions. He is also interested in the development and optimization of new materials, particularly in relation to mechanical behavior and damage tolerance under different loading conditions. Dr. Kchaou’s expertise spans multiple aspects of materials science, including fatigue behavior, wear mechanisms, and the interplay between mechanical properties and environmental factors. He has a keen interest in applying these insights to various industries, such as automotive and manufacturing, to promote energy-efficient and environmentally sustainable solutions. His research contributes to advancing both theoretical knowledge and practical applications in materials engineering and mechanical systems.

Awards and Honors

Dr. Mohamed Kchaou has earned numerous prestigious awards and honors throughout his academic career. Notably, he has been nominated for Full Membership in Sigma Xi, The Scientific Research Honor Society, recognizing his significant contributions to the field of mechanical engineering. In 2025, he was ranked as one of the top 5 scientists at the University of Bisha, securing the first position in the Engineering & Technology category. Dr. Kchaou’s h-index of 21 is a testament to the impact and relevance of his research in the scientific community. Furthermore, he has been recognized for his leadership and academic excellence, particularly for his significant contributions to international collaborations in research and higher education. His ability to bridge academic expertise with real-world challenges has made him a prominent figure in the engineering field, particularly in the domains of sustainability and tribology.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Oily wastewater treatment: Overview of conventional and modern methods, challenges, and future opportunities
    Authors: K Abuhasel, M Kchaou, M Alquraish, Y Munusamy, YT Jeng
    Year: 2021
    Citations: 249
  • An overview of green corrosion inhibitors for sustainable and environment friendly industrial development
    Authors: N Hossain, M Asaduzzaman Chowdhury, M Kchaou
    Year: 2021
    Citations: 198
  • Friction characteristics of a brake friction material under different braking conditions
    Authors: M Kchaou, A Sellami, R Elleuch, H Singh
    Year: 2013
    Citations: 103
  • Steam explosion as sustainable biomass pretreatment technique for biofuel production: Characteristics and challenges
    Authors: AT Hoang, XP Nguyen, XQ Duong, Ü Ağbulut, C Len, PQP Nguyen, …
    Year: 2023
    Citations: 97
  • Surface characterization and mechanical behavior of aluminum based metal matrix composite reinforced with nano Al2O3, SiC, TiO2 particles
    Authors: MBA Shuvho, MA Chowdhury, M Kchaou, BK Roy, A Rahman, MA Islam
    Year: 2020
    Citations: 91
  • Experimental investigation on the tribo-thermal properties of brake friction materials containing various forms of graphite: a comparative study
    Authors: S Manoharan, R Vijay, D Lenin Singaravelu, M Kchaou
    Year: 2019
    Citations: 89
  • Squealing characteristics of worn brake pads due to silica sand embedment into their friction layers
    Authors: ARM Lazim, M Kchaou, MKA Hamid, ARA Bakar
    Year: 2016
    Citations: 70
  • Experimental studies of friction-induced brake squeal: influence of environmental sand particles in the interface brake pad-disc
    Authors: M Kchaou, ARM Lazim, MKA Hamid, ARA Bakar
    Year: 2017
    Citations: 69
  • Failure mechanisms of H13 die on relation to the forging process–A case study of brass gas valves
    Authors: M Kchaou, R Elleuch, Y Desplanques, X Boidin, G Degallaix
    Year: 2010
    Citations: 69
  • Development and performance evaluation of eco-friendly crab shell powder based brake pads for automotive applications
    Authors: DL Singaravelu, R Vijay, S Manoharan, M Kchaou
    Year: 2019
    Citations: 63
  • Study of the interaction between microstructure, mechanical and tribo-performance of a commercial brake lining material
    Authors: A Sellami, M Kchaou, R Elleuch, AL Cristol, Y Desplanques
    Year: 2014
    Citations: 60
  • 3D-printed objects for multipurpose applications
    Authors: N Hossain, MA Chowdhury, MBA Shuvho, MA Kashem, M Kchaou
    Year: 2021
    Citations: 46
  • Water absorption and mechanical behaviour of green fibres and particles acting as reinforced hybrid composite materials
    Authors: M Kchaou, SJ Arul, A Athijayamani, P Adhikary, S Murugan, FK Aldawood, …
    Year: 2023
    Citations: 43
  • Investigation on tribological and corrosion characteristics of oxide-coated steel and mild steel fiber-based brake friction composites
    Authors: S Manoharan, R Vijay, M Kchaou
    Year: 2018
    Citations: 34
  • Surface disinfection to protect against microorganisms: Overview of traditional methods and issues of emergent nanotechnologies
    Authors: M Kchaou, K Abuhasel, M Khadr, F Hosni, M Alquraish
    Year: 2020
    Citations: 32

Tharindu Madhushanka | Engineering | Best Researcher Award

Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built …
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available