Tag: Civil Engineering Innovation Excellence Award

Ahmet Can Altunışık | Civil Engineering | Best Academic Researcher Award

Published on by World Science Awards

Best Academic Researcher Award

Ahmet Can Altunışık — Karadeniz Technical University
Ahmet Can Altunışık
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 23395831800
Documents 215
Citations 3,946
h-index 33
Subject Area Civil Engineering
Event World Science Awards
ORCID 0000-0002-2638-2903

Ahmet Can Altunışık is a civil engineering researcher and professor affiliated with Karadeniz Technical University in Trabzon, Turkey. His documented research activities include structural engineering, seismic response, structural health monitoring, modal testing, damage identification, masonry structures, and the assessment and strengthening of civil infrastructure. His researcher records identify Scopus author ID 23395831800 and ORCID 0000-0002-2638-2903. [1] [2]

Abstract

This academic recognition profile presents the documented research record of Ahmet Can Altunışık, a civil engineering academic at Karadeniz Technical University. Publicly available academic records associate his work with structural engineering and earthquake-related research, including structural health monitoring, modal testing, damage identification, seismic assessment, and the behavior of masonry and reinforced-concrete structures. The available Scopus-derived author information reports 215 documents, 3,946 citations, and an h-index of 33 at the time of the accessed profile record. [1] His institutional research record lists a substantially broader publication portfolio, including 269 listed articles and 238 publications classified as Scopus-indexed in the institutional database. [2]

Keywords

Ahmet Can Altunışık; Civil Engineering; Structural Engineering; Earthquake Engineering; Structural Health Monitoring; Modal Testing; Damage Identification; Seismic Response; Masonry Structures; Reinforced Concrete; Structural Assessment; Karadeniz Technical University; Academic Researcher; World Science Awards.

Introduction

Ahmet Can Altunışık is a professor in the Department of Civil Engineering at Karadeniz Technical University. The Turkish Academy of Sciences identifies him as an Associate Member elected in 2024 and records his institutional affiliation and research field as Karadeniz Technical University and Civil Engineering, respectively. [3]

His publicly documented academic work covers structural response and monitoring, earthquake engineering, experimental structural assessment, dynamic behavior, and structural damage identification. Published studies also demonstrate applications involving historical masonry structures, timber bridges, reinforced-concrete buildings, and contemporary structural-monitoring methodologies. [4] [5]

Research Profile

Altunışık’s research profile is situated primarily within civil and structural engineering. The research topics associated with his academic record include modal testing, damage identification, structural health monitoring, dynamic behavior, seismic response, and structural assessment. [6] These areas connect experimental measurements, numerical modeling, and engineering assessment methods used to understand the behavior and condition of civil structures.

His research record also includes work on earthquake-damaged historical structures. A 2017 study examined the earthquake response of heavily damaged historical masonry mosques following restoration and identified structural-response considerations associated with restoration work. [4] Other published research has addressed ambient-vibration testing and finite-element model updating for reconstructed historical timber bridges. [5]

Research Contributions

A recurring component of Altunışık’s published research is the use of experimental and computational approaches to evaluate structural behavior. His work has included finite-element model updating, ambient-vibration testing, operational modal analysis, and automated approaches to structural monitoring. [5] [7]

Recent research associated with his group has also addressed seismic fragility, earthquake-induced structural damage, and the strengthening of structures using fiber-reinforced polymer systems. The Karadeniz Technical University academic database lists projects involving earthquake-related damage to reinforced-concrete structures, artificial-intelligence-supported assessment, and strengthening applications using fiber-reinforced composite materials. [8]

A 2025 publication in Structural Control and Health Monitoring presented a methodology for automated operational modal analysis using a modal-domain range, with Altunışık identified as a corresponding author affiliated with the Department of Civil Engineering and the Earthquake and Structural Health Monitoring Research Center at Karadeniz Technical University. [7]

Publications

The Karadeniz Technical University AVESIS record lists 269 articles for Ahmet Can Altunışık, including records categorized as SCI-E, SSCI, AHCI, ESCI, Scopus, TR Dizin, and other publications. The same institutional record currently identifies 238 publications under its Scopus classification. [2]

Selected publications illustrate the breadth of the research portfolio. These include research on historical masonry structures after earthquakes, finite-element model updating and dynamic response of reconstructed historical timber bridges, automated operational modal analysis, and structural damage-detection methodologies. [4] [5] [7]

Selected documented publications

  • Altunışık, A. C., and Genç, A. F. (2017). Earthquake response of heavily damaged historical masonry mosques after restoration. Natural Hazards and Earth System Sciences, 17, 1811–1822. DOI: 10.5194/nhess-17-1811-2017. [4]
  • Altunışık, A. C., et al. (2020). Finite-Element Model Updating and Dynamic Responses of Reconstructed Historical Timber Bridges using Ambient Vibration Test Results. Journal of Performance of Constructed Facilities. DOI: 10.1061/(ASCE)CF.1943-5509.0001344. [5]
  • Nasery, M. M., Hüsem, M., Okur, F. Y., and Altunışık, A. C. (2020). Model updating-based automated damage detection of concrete-encased composite column-beam connections. Structural Control and Health Monitoring, 27(10), e2600. DOI: 10.1002/stc.2600. [9]
  • Okur, F. Y., et al. (2025). Development and Validation of New Methodology for Automated Operational Modal Analysis Using Modal Domain Range. Structural Control and Health Monitoring. DOI: 10.1155/stc/6267884. [7]

Research Impact

The available Scopus-derived profile accessed through ScienceDirect reports 215 documents, 3,946 citations, and an h-index of 33 for the researcher. These metrics provide bibliometric indicators of publication and citation activity, although such values can change as databases are updated and may differ between platforms because of indexing, author disambiguation, and update schedules. [1]

The institutional AVESIS database provides a different publication count, listing 269 articles overall and 238 under its Scopus category. [2] The difference between institutional and external database totals illustrates why bibliometric figures should be interpreted with reference to the source and date of measurement rather than treated as fixed values.

Beyond publication and citation indicators, the record includes research projects involving earthquake-related structural damage, experimental investigation, structural strengthening, and artificial-intelligence-supported analysis. [8] These activities indicate a research program connecting structural engineering theory, measurement, computational analysis, and practical infrastructure assessment.

Award Suitability

For an academic recognition process titled Best Academic Researcher Award, the documented profile provides several categories of information that can be considered by an independent award committee. These include disciplinary alignment with Civil Engineering, an established publication record, citation activity, a documented h-index, research projects, and peer-reviewed publications addressing structural engineering and earthquake-related problems. [1] [2]

The record also contains evidence of continued research activity, including projects on earthquake damage, structural strengthening, and experimental and computational assessment. [8] These documented characteristics may form part of an evidence-based award assessment when considered alongside the award’s published eligibility requirements, evaluation criteria, research-quality evidence, originality, professional contributions, and supporting documentation.

This profile does not independently determine an award outcome. Formal recognition should be based on the applicable rules and evidence reviewed by the responsible award organization, including the relevant assessment period and any requirements concerning publications, research impact, innovation, professional service, or other scholarly contributions.

Conclusion

Ahmet Can Altunışık’s publicly documented academic profile reflects an established research career in Civil Engineering at Karadeniz Technical University, with research spanning structural dynamics, earthquake engineering, structural health monitoring, modal testing, damage identification, and structural assessment. [3] His publication and project records demonstrate continuing work across experimental, numerical, and applied aspects of structural engineering. [2] The available bibliometric record also documents substantial citation activity and an h-index of 33 in the accessed Scopus-derived profile. [1]

Taken together, these records provide a documented basis for presenting his academic research profile in connection with the World Science Awards and the Best Academic Researcher Award category, while the final recognition decision remains subject to the applicable award criteria and independent evaluation process.

References

  1. Elsevier. (n.d.). Ahmet Can Altunışık: Author information, Scopus ID 23395831800. ScienceDirect author profile. The accessed profile reports 215 documents, 3,946 citations, and an h-index of 33.
    https://www.sciencedirect.com/author/23395831800/ahmet-can-altunisik
  2. Karadeniz Technical University. (n.d.). Ahmet Can Altunışık — Publications and Works. AVESIS Academic Data Management System. The institutional record lists 269 articles and identifies 238 publications under its Scopus classification.
    https://avesis.ktu.edu.tr/ahmetcan/yayinlar
  3. Turkish Academy of Sciences. (2024). Ahmet Can Altunışık — Associate Member. Turkish Academy of Sciences. The profile identifies Karadeniz Technical University, Civil Engineering, and the academic title Professor.
    https://www.tuba.gov.tr/en/members/all-members/associate-members/ahmet-can-altunisik
  4. Altunışık, A. C., & Genç, A. F. (2017). Earthquake response of heavily damaged historical masonry mosques after restoration. Natural Hazards and Earth System Sciences, 17, 1811–1822.
    DOI: https://doi.org/10.5194/nhess-17-1811-2017
  5. Altunışık, A. C., Kalkan, E., Okur, F. Y., Karahasan, O. Ş., & Ozgan, K. (2020). Finite-Element Model Updating and Dynamic Responses of Reconstructed Historical Timber Bridges using Ambient Vibration Test Results. Journal of Performance of Constructed Facilities.
    DOI: https://doi.org/10.1061/(ASCE)CF.1943-5509.0001344

Manvendra Singh Chauhan | Civil Engineering | Best Researcher Award

Published on by World Science Awards

Assoc. Prof. Dr. Manvendra Singh Chauhan | Civil Engineering | Best Researcher Award

Babasaheb Bhimrao Ambedkar University, India

Assoc. Prof. Dr. Manvendra Singh Chauhan, an accomplished academician and researcher in Civil Engineering, currently serves as Head of the Department of Civil Engineering at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. He earned his Ph.D. in Civil Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi in 2015, with research on modeling the River Ganga at the Varanasi bend, following his M.Tech. in Hydraulics and Water Resources Engineering and B.Tech. in Civil Engineering. With more than a decade of academic and professional experience, Dr. Chauhan has held faculty and leadership positions at reputed institutions including RV Institute of Technology, Holy Mary Institute of Technology & Science (where he also served as Vice-Principal), and Chitkara University, alongside prior industry experience with Simplex Infrastructures and SDCE Projects. His research interests span hydraulics and water resources, river modeling, sedimentation and erosion, environmental remediation, sustainable construction materials, and applications of geoinformatics in watershed management. He possesses strong research skills in hydrological modeling, GIS applications, data analysis, statistical modeling, AutoCAD, SPSS, and advanced tools for river flow and sediment studies. Dr. Chauhan has published widely in reputed Scopus and SCI-indexed journals such as Journal of Hydroinformatics, Asian Journal of Civil Engineering, Technologies, and Materials Today Proceedings, with a record of 9 indexed documents, 122 citations, and an h-index of 3, in addition to authoring books and Springer book chapters. His innovative outlook is reflected in patents including the granted “Motorized Water Sampler for Water Bodies” (2023) and an IoT-based intelligent irrigation system. Recognized for his contributions, he has been actively involved in organizing international conferences, workshops, and faculty development programs, and is a member of professional bodies such as the Institution of Engineers (India), Indian Association of Hydrologists, and Indian Water Resources Society. In conclusion, Dr. Chauhan stands out as a dedicated researcher, innovator, and academic leader whose impactful contributions to civil engineering and water resources continue to advance sustainable solutions for society and inspire future generations of engineers.

Profile: Scopus | ORCID

Featured Publications

Kesarwani, S., Shukla, G., & Chauhan, M. S. (2025). Utilisation of waste corn cob ash in cement concrete: A statistical approach toward environmental sustainability. Asian Journal of Civil Engineering. Advance online publication.

Chauhan, M. S., Omar, P. J., Dikshit, P. K. S., & Dwivedi, S. B. (2025). Development and validation of a rating curve for the Ganga River at the Varanasi bend. Journal of Hydroinformatics, 27(4), 657–669.

Sen, P., Bhattacharya, P., Mukherjee, G., Ganguly, J., Marik, B., Thapliyal, D., Verma, S., Verros, G. D., Chauhan, M. S., & Arya, R. K. (2023). Advancements in doping strategies for enhanced photocatalysts and adsorbents in environmental remediation. Technologies, 11(5), 144.

Fayaz, M., Krishnaiah, R. V., Raju, K. V. B., & Chauhan, M. S. (2023). Study and analysis of strength parameters of concrete with addition of stone dust, PVC, and fibers. Materials Today: Proceedings. Advance online publication.

Fayaz, M., Krishnaiah, R. V., Raju, K. V. B., & Chauhan, M. S. (2023). Experimental study on mechanical properties of concrete using mineral admixtures. Materials Today: Proceedings. Advance online publication.

Mohammad Ali Heravi | Civil Engineering | Best Researcher Award

Published on by World Science Awards

Mr. Mohammad Ali Heravi | Civil Engineering | Best Researcher Award

PhD. Student at Semnan University, Iran

Mr. Mohammadali Heravi is a dedicated and ambitious Ph.D. candidate ing Civil Engineerin at Semnan University, Iran. With a strong academic foundation, he has developed expertise in structural health monitoring, particularly through the application of deep learning and artificial intelligence. His doctoral research is focused on developing innovative unsupervised deep learning methods to advance structural health monitoring systems. Mr. Heravi also holds an M.Sc. in Civil Engineering from Shahrood University of Technology, where he explored structural damage detection using empirical mode decomposition and statistical pattern recognition. His academic journey began with a B.Sc. in Civil Engineering from Azad University of Mashhad. Currently, he is furthering his research as a Ph.D. researcher at Western University of Ontario, Canada, where he is working on zero-shot transfer learning approaches for structural health monitoring. Mr. Heravi is passionate about contributing to the field of civil engineering through innovative research and collaboration with leading experts.

Profile

Education

Mr. Mohammadali Heravi is currently pursuing a Ph.D. in Civil Engineering at Semnan University, Iran, where he has maintained an impressive GPA of 18.49/20. His doctoral research focuses on developing novel unsupervised deep learning approaches for structural health monitoring. Prior to this, he earned his M.Sc. in Civil Engineering from Shahrood University of Technology, Iran, between 2017 and 2020, with a GPA of 18.03/20. His master’s thesis centered on structural damage detection using improved empirical mode decomposition and statistical pattern recognition. He began his academic journey with a B.Sc. in Civil Engineering from Azad University of Mashhad, Iran, where he graduated in 2016 with a GPA of 15.50/20. Throughout his academic career, Mr. Heravi has demonstrated a strong commitment to advancing his knowledge and expertise in civil engineering, particularly in the areas of structural health monitoring and artificial intelligence.

Professional Experience

Mr. Mohammadali Heravi has amassed significant professional experience in the field of civil engineering, with a focus on structural health monitoring and the application of artificial intelligence. He is currently a Ph.D. researcher in Civil and Environmental Engineering at Western University of Ontario, Canada, where he is developing novel zero-shot transfer learning approaches for structural health monitoring. His research builds on his earlier work as a Ph.D. candidate at Semnan University, Iran, where he began his exploration of unsupervised deep learning techniques in structural health monitoring. Additionally, Mr. Heravi’s experience includes his role as a researcher during his M.Sc. at Shahrood University of Technology, where he specialized in structural damage detection using advanced statistical methods. His professional journey is characterized by a deep commitment to advancing the field of civil engineering through innovative research and practical applications.

Research Interests

Mr. Mohammadali Heravi’s research interests are deeply rooted in the field of civil engineering, with a particular focus on Structural Health Monitoring (SHM) through vibration and vision-based methods. He is keenly interested in Structural Vibration Control and the innovative application of Artificial Intelligence (AI) in engineering structures, especially through Machine Learning, Deep Learning, and Data Mining techniques. His work also extends to Reliability and Numerical Analysis, where he explores the robustness and safety of engineering designs. Additionally, Mr. Heravi is engaged in Image and Signal Processing, utilizing these technologies to enhance the accuracy and efficiency of structural assessments. His research aims to integrate cutting-edge AI methodologies with traditional engineering practices to address complex challenges in the field.

Research Skills

Mr. Mohammadali Heravi possesses a diverse set of technical and professional skills that support his research in civil engineering. He is proficient in programming languages such as Python, with four years of experience, and MATLAB, with six years of expertise. His skills extend to Machine Learning and Deep Learning frameworks, including PyTorch, TensorFlow, and Scikit-Learn, which he applies in his research on structural health monitoring and artificial intelligence. Additionally, Mr. Heravi is well-versed in engineering software like ETABS and SAP2000, crucial for structural analysis and design. He also has experience with various Python libraries, including Numpy, OpenCV, and Pandas, which aid in data manipulation and image processing. Beyond his technical capabilities, Mr. Heravi excels in non-programming software such as Microsoft Office, Photoshop, and Adobe Premiere, which enhance his ability to present research findings and manage projects effectively. His skill set reflects a well-rounded expertise in both the theoretical and practical aspects of civil engineering and artificial intelligence.

Conclusion

Mr. Mohammadali Heravi’s strong academic background, extensive research experience, technical skills, and dedication to advancing civil engineering make him an exemplary candidate for the Best Researcher Award. His contributions to structural health monitoring, particularly through innovative AI applications, highlight his potential to significantly impact the field.

Publications Top Notes

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

  • Authors: H. Naderpour, M. Sharei, P. Fakharian, M.A. Heravi
  • Journal: Journal of Soft Computing in Civil Engineering
  • Volume: 6 (1), 66-87
  • Cited By: 30
  • Year: 2022

Structural Health Monitoring by Probability Density Function of Autoregressive-Based Damage Features and Fast Distance Correlation Method

  • Authors: M.A. Heravi, S.M. Tavakkoli, A. Entezami
  • Journal: Journal of Vibration and Control
  • Volume: 28 (19-20), 2786-2802
  • Cited By: 10
  • Year: 2022

Transferring Damage Detection Knowledge Across Rotating Machines and Framed Structures: Harnessing Domain Adaptation and Contrastive Learning

  • Authors: R. Soleimani-Babakamali, M.H. Soleimani-Babakamali, M.A. Heravi, et al.
  • Journal: Mechanical Systems and Signal Processing
  • Volume: 221, 111743
  • Year: 2024

Deep Ensemble Learning for Rapid Large-Scale Post-Earthquake Damage Assessment—Application to 2023 Kahramanmaraş Earthquake Sequence

  • Authors: M.H. Soleimani-Babakamali, M. Askari, M.A. Heravi, R. Sisman, N. Attarchian, et al.
  • Year: 2023